Next Article in Journal
Dynamics of Fermentation Parameters and Bacterial Community in Rumen of Calves During Dietary Protein Oscillation
Previous Article in Journal
The Process of Soil Carbon Sequestration in Different Ecological Zones of Qingtu Lake in the Arid–Semi-Arid Region of Western China
Previous Article in Special Issue
Antibiotic Resistance in the Elderly: Mechanisms, Risk Factors, and Solutions
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

Food Webs and Feedbacks: The Untold Ecological Relevance of Antimicrobial Resistance as Seen in Harmful Algal Blooms

1
US Environmental Protection Agency, Office of Research and Development, Duluth, MN 55804, USA
2
US Environmental Protection Agency, Office of Research and Development, Cincinnati, OH 45268, USA
*
Authors to whom correspondence should be addressed.
Microorganisms 2024, 12(11), 2121; https://doi.org/10.3390/microorganisms12112121
Submission received: 6 September 2024 / Revised: 16 October 2024 / Accepted: 17 October 2024 / Published: 23 October 2024
(This article belongs to the Special Issue Combating Antimicrobial Resistance: Innovations and Strategies)

Abstract

:
Antimicrobial resistance (AMR) has long been framed as an epidemiological and public health concern. Its impacts on the environment are unclear. Yet, the basis for AMR is altered cell physiology. Just as this affects how microbes interact with antimicrobials, it can also affect how they interact with their own species, other species, and their non-living environment. Moreover, if the microbes are globally notorious for causing landscape-level environmental issues, then these effects could alter biodiversity and ecosystem function on a grand scale. To investigate these possibilities, we compiled peer-reviewed literature from the past 20 years regarding AMR in toxic freshwater cyanobacterial harmful algal blooms (HABs). We examined it for evidence of AMR affecting HAB frequency, severity, or persistence. Although no study within our scope was explicitly designed to address the question, multiple studies reported AMR-associated changes in HAB-forming cyanobacteria (and co-occurring microbes) that pertained directly to HAB timing, toxicity, and phase, as well as to the dynamics of HAB-afflicted aquatic food webs. These findings highlight the potential for AMR to have far-reaching environmental impacts (including the loss of biodiversity and ecosystem function) and bring into focus the importance of confronting complex interrelated issues such as AMR and HABs in concert, with interdisciplinary tools and perspectives.

1. Introduction

Antimicrobials are substances that are lethal or inhibitory to microbes [1,2]. Alexander Fleming famously discovered what was to be the world’s first mass-produced antimicrobial, the antibiotic penicillin, upon observing Penicillium notatum (a species of mold) using it in “chemical warfare” against the bacterium Staphylococcus aureus [3,4]. Since then, many other antimicrobials have been discovered in the contexts of similar microbial conflicts, including antibiotics/antibacterials from amoebae [5], amebicides and antifungals from bacteria [5,6], and antiprotozoals and anthelmintics from red algae [7,8]. Unfortunately, worldwide, antimicrobials such as these have increasingly been giving rise (evolutionarily) to microbes that can survive and reproduce in their presence [9]. This microbial ability is known as “antimicrobial resistance” (AMR).
AMR has, for decades, been the focus of international multidisciplinary research efforts, not only in clinical settings [10,11] but also in residences [12,13], factories [14], farms [15,16], research laboratories [17], and the environment [18,19]. Historically, it has been framed as an issue of epidemiology and public health. Its potential impacts on the environment (i.e., on ecosystem health and services) have rarely been considered, let alone characterized or quantified. While there have been recent efforts to foster “antimicrobial stewardship” [20,21,22] and leverage the efficacy of “One Health” methodologies, even these have mostly been focused on protecting humans and other organisms of economic interest from multi-drug-resistant pathogens [23,24,25,26,27,28,29] and on controlling anthropogenic drivers of AMR, such as wastewater inputs [25,29,30,31,32]. Reviews of AMR in the environment have acknowledged the environment as an arena for both the circulation of already-resistant bacteria and the evolution of de novo resistance (novel forms of AMR or novel AMR–microbe combinations) [33,34,35] but still tend to stress the importance of distinguishing “clinically relevant” microbe–AMR combinations from the multitude of other varieties detectable in the environment [36,37].
Some experts have posited that it is unrealistic to expect AMR to pose environmental risks, let alone risks dire enough to justify new research and mitigation expenditures [30,35]. They argue that AMR is a defense against antimicrobials and therefore would not even reveal itself (phenotypically) in the absence of antimicrobials or related contaminants [38]. By this logic, microbes’ possession of AMR cannot lead to the death or inhibition of other organisms (loss of biodiversity) and, thus, should not be treated as an environmental issue in itself but, rather, as a symptom of the problem of antimicrobial pollution or an intensifier of the problem of infectious disease. AMR, if anything, might even safeguard against the loss of biodiversity in natural ecosystems [35], because, without it, anthropogenic inputs of antimicrobials would kill or inhibit “beneficial” microbes responsible for processes such as biogeochemical cycles [39,40], lower food web activity [41], the biodegradation of pollution [42], and the metabolism and immune responses of plants and animals [43,44]. A few researchers have also argued that the rise and spread of AMR beyond the point of input of antimicrobial pollution is likely to be limited, since the environment naturally self-remediates contaminants through physical dilution [45,46], biodegradation [47], and retention within clay and dead biomass (“necrobiome detoxification”) [48].
As these fellow scientists have implied, it is important to recognize (1) that ecosystems can be resilient and (2) that ecologists and microbiologists should not conflate the problem of AMR with that of antimicrobial pollution—or consider AMR “bad” for humans and the environment across all scenarios. However, it may be premature to dismiss the possibility of AMR having ecological relevance. Traits analogous in function to AMR have long garnered attention as potential threats to biodiversity. These traits have also been evaluated as tools for environmental monitoring, environmental mitigation, climate change preparation, and/or the enhancement of agricultural yield. They include various forms of stress resistance within genetically modified organisms [49,50,51], invasive plants [52,53,54], invasive pathogens [55,56,57,58,59], agricultural weeds [60,61], pestilent insects [62,63], and hybrids born of species introgression [64,65]. AMR, through its underlying variations in microbial physiology [66] (e.g., modifications of barrier proteins, efflux pumps, enzymatic activity, and within-cell targets of antibiotics; Figure 1), can theoretically alter how microbes interact with members of their own populations, with co-occurring species, and with their non-living environment, just as it influences how the microbes interact with antimicrobials. The environmental consequences of these effects may be significant, depending on what ecological roles the microbes play, whether they have many or few ecological relationships, and whether they interact strongly or weakly in those relationships. Microbes that have caused landscape-level environmental issues worldwide would be especially worth investigating for such AMR side effects. If AMR exacerbates the microbes’ harmfulness, then this would be even more reason to keep its occurrence in the environment in check. If it reduces their harmfulness, then its prevalence or expression could potentially be manipulated to help control these microbes.
A notorious example of such microbes are the cyanobacteria that form freshwater harmful algal blooms (HABs). HABs are dense assemblages that are often large enough to be detectable via satellites [67]. They present numerous human and environmental health risks in freshwater aquatic ecosystems—including high concentrations of toxins and skin irritants [68,69,70], areas of low oxygen availability [71], dramatic shifts in pH [72], biofouling [73], catastrophic regime shifts in phytoplankton and zooplankton [74,75], and outbreaks of waterborne diseases associated with microbial symbioses and planktonic decay [76,77]. AMR’s effects on HABs might—for better or worse—alter human access to ecosystem services such as safe drinking water, irrigation, fishing, and recreation. They might also extend beyond the aquatic realm to terrestrial habitats such as forests and urban areas, via shifts in the feeding behaviors of seabirds [78], raptors [79], and aquatic mammals [80].
Figure 1. Cyanobacteria can exhibit all the known mechanisms of AMR found in other bacteria. These relate to cell physiology, regardless of whether they are general stress responses [81] or specific defenses against specific antimicrobials [82]. Methylation of the ribosomes, for example, can create AMR against ribosome-targeting antimicrobials.
Figure 1. Cyanobacteria can exhibit all the known mechanisms of AMR found in other bacteria. These relate to cell physiology, regardless of whether they are general stress responses [81] or specific defenses against specific antimicrobials [82]. Methylation of the ribosomes, for example, can create AMR against ribosome-targeting antimicrobials.
Microorganisms 12 02121 g001

2. Scope and Methodology of This Review

To uncover evidence of AMR affecting HABs (i.e., hastening or slowing their onset or increasing or decreasing their frequency, severity, or duration), we used the online search engine Google Scholar to perform a literature review of peer-reviewed scientific journal articles published in English during the timeframe of 2004–2024. Using the search terms “antimicrobial”, “cyanobacterium”, and “bloom” (allowing for plural forms, acronyms, and inexact matches), we compiled over 13,000 unique results. We then screened these results (initially, based on their titles and abstracts) to exclude studies that did not pertain to cyanobacterial HABs in inland freshwater ecosystems (e.g., lakes and rivers) and to AMR conferred by known “antimicrobial resistance genes” (ARGs) [38]. Although other aquatic habitats (including marine, inquiline, and artificial) and other means of acquiring AMR (e.g., via cooperation with other species) are equally relevant to the topic [83,84,85], this screening was necessary to ensure tractability. Of the approximately 400 remaining studies, none were explicitly designed to determine whether AMR affects HABs and/or the dynamics of HAB-afflicted aquatic food webs. Nevertheless, among them, we found multiple studies reporting AMR-associated changes in HAB-forming cyanobacteria and co-occurring microbes that pertained directly to HAB timing, toxicity, and phase. In the sections that follow, we synthesize what these studies reveal.

3. Current Understandings of the Relationship between AMR and HABs

3.1. Overlapping Features and Contexts

Despite being viewed as separate concerns, AMR and HABs share many similarities and connections (Figure 2). Both occur where exposure risks are imperative to address (e.g., drinking water sources and public beaches) [86,87] and where microbes such as human pathogens are likely to co-mingle and accumulate (e.g., catchments of wastewater and agricultural runoff) [88,89,90,91]. Both are facilitated by global climate change [92,93] and “cultural eutrophication”—the process by which nutrients from anthropogenic sources interfere with ecological community dynamics and biogeochemical cycles [94,95,96]. Both have called for the identification and enumeration of microbial species, the tracking of microbial activity, and the profiling of microbial traits to protect the environment and human health [97,98]. Both can also be linked at the cellular level [99,100], as HAB-forming cyanobacteria often possess ARGs and can potentially exchange ARGs with other microbes (e.g., via plasmids) [101,102]. These same cyanobacteria host a diversity of heterotrophic microbes within the mucus that encapsulates their cells (their phycospheric symbionts) [103,104], which often likewise possess ARGs and the ability to exchange ARGs with other microbes [99,105]. Whether or not ARGs in this context can exacerbate HABs, they can exacerbate water quality issues tied to HABs, such as the cyanobacterial contamination of crops [106,107] and hospital dialysate [108] and the cyanobacterial colonization of human respiratory tracts [109]. Reciprocally, the occurrence of HABs may increase ARG diversity within planktonic microbial communities [110].
Accordingly, some of the same or similar methods of control are being used to monitor, prevent, and mitigate AMR and HABs [111,112,113] (Table 1). Peroxide, for example, which is commonly used as an algaecide, has been shown to also be effective at killing or inhibiting multi-drug-resistant bacterial pathogens [114,115,116]. Certain antibiotics have likewise been found to be effective as algaecides against cyanobacteria [117]. If the severity of HABs and the prevalence of AMR are positively correlated, then methods of controlling HABs may double as methods for controlling AMR, which would resolve two water quality issues for the price of one. On the other hand, should the increasing severity of HABs come with a decreasing AMR prevalence (or vice versa), then aquatic resource managers may find themselves in the unenviable position of having to optimize the balance of contrasting risks [118,119].

3.2. HABs as Biofilms and Hot Spots for AMR Evolution

Though rarely referred to as such, HABs are essentially large, floating biofilms: communities of aggregated microbial cells embedded in a self-produced matrix of macromolecules (“extracellular polymeric substances” [154]). These often complex, three-dimensional structures provide their constituents with evolutionary advantages—e.g., joint defenses against ultraviolet radiation, extreme temperature, extreme pH, high salinity, low nutrients, and, indeed, antimicrobials [155,156,157]. HAB-constituent species that do not already possess ARGs can acquire them through genetic mutation and horizontal gene transfer (HGT) [158,159,160,161]. Within HABs, just as they are within other kinds of biofilms, the likelihoods of mutation and HGT is higher compared to that among dispersed (non-aggregate) populations of microbes. This is due to the accrual and arrangement of cells and the HABs’ alteration of the ambient pH and oxygen concentration, which increase the frequency of co-occurrence and contact-dependent interactions among compatible microbial species [162,163,164]. HABs may also increase the rates of the appearance and exchange of ARGs by promoting plasmid stability via the induction of so-called “mafia traits” that are encoded on mobile genetic elements [165,166] and via the release of outer membrane vesicles (OMVs) [158], both of which are triggered by quorum sensing and other forms of cell-to-cell signaling [167,168].
Furthermore, some of the toxins and non-toxic secondary metabolites produced in HABs (e.g., alkaloids, polyketides, terpenes, and polyphenols) have been reported to have antimicrobial properties. While these have garnered attention as potential alternatives to established pharmaceuticals [169,170], there is evidence to suggest that they, too, may select for ARGs [171,172,173]. This could make AMR more common or more versatile in toxic HAB-forming cyanobacteria and their phycospheric symbionts than in co-occurring microbial competitors, which would explain why antimicrobial pollution has been shown to increase the likelihood of HABs [100,174]. The AMR-exhibiting HAB constituents would survive and reproduce, while their AMR-lacking competitors would be killed or inhibited by the antimicrobials, allowing the former to gain exclusive access to previously contested resources, as well as to the resources that arise from their competitors’ lysed remains [100,174,175,176,177]. There is also evidence that cyanobacterial toxins such as microcystin-LR promote the HGT of ARGs by regulating gene systems involved in microbial conjugation, stimulating the formation of reactive oxygen species (ROS), and increasing cell membrane permeability [178].

4. How AMR Affects HAB Dynamics and Severity

4.1. Effects on Timing

Factors that suppress the growth of HAB-forming cyanobacteria can cause HABs to form more gradually, later in the season, or with lower cell density and spatial coverage [179,180]. They can also lead to HABs simply not forming at all, due to HAB-constituent cells being crowded out by more proliferative competitors [181] or being more thoroughly grazed by consumers they could have otherwise deterred or over-sated [182,183]. ARGs being associated with such tradeoffs is well documented in pathogens and some model bacterial populations [184,185,186,187,188,189,190,191]. Some ARGs, for instance, work by modifying cellular transport mechanisms, which reduces the cell’s efficiency at sequestering nutrients and increases its vulnerability to phage attachment [192]. Merely possessing ARGs may increase the cell’s demand for nutrients, energy, and intracellular space, as these resources are required for accumulating and replicating DNA [193,194,195,196,197]. On the other hand, having slower growth and a lower population density can also improve the chances of persisting in the face of nutrient limitation [198,199,200] and evading consumers [201,202]—especially if the consumers rely on density-dependent cues [203,204].
Several studies within our scope suggest that cyanobacteria benefit ecologically from ARGs and pay biological fitness costs to do so. San Millan et al. (2014) [162] found 48 different cyanobacterial genomes in GenBank (representing multiple genera) that tend to house coexisting ARG-containing plasmids (with no indication of plasmid size affecting plasmid presence)—but also found that these genomes tended not to house more than two such plasmids at a time. Cassier-Chauvat & Chauvat (2015) [205] highlight that, in at least a few ARG-possessing cyanobacterial genera (including Synechocystis), AMR doubles as an adaptive response to oxidative and heavy metal stresses. Vogel et al. (2017) [206] reported lower intrinsic growth rates in Synechococcus sp. PCC 7002 compared to wildtype Synechococcus upon the artificial insertion of kanamycin resistance genes—a common form of ARGs. Whether these apparent tradeoffs influence the dynamics of HABs still has to be examined empirically.

4.2. Effects on Toxicity

Identifying and distinguishing ARG effects on cyanobacterial toxicity is a complicated challenge. Aquatic environments house multiple factors that can affect both the synthesis of toxins and the susceptibility of organisms to toxic effects. Further complicating the matter is the present lack of knowledge regarding cyanobacterial toxins and the subjectivity with which researchers classify “toxins” and “antimicrobials”. Even for microcystins (the best-studied class of cyanobacterial toxins), at least 246 known variants have been isolated, of which only a few have been characterized toxicologically [207,208]. Certain toxins are used by cyanobacteria to kill or inhibit other microbes [209] and by other microbes to kill or inhibit cyanobacteria [210,211,212], which would rightly inspire some researchers to regard these toxins as antimicrobials (and, in turn, regard microbial tolerance of the toxins as AMR).
Nonetheless, in the genome of Microcystis aeruginosa, separate ARGs and toxin synthesis genes have been distinguished from one another and found to co-occur. This allows for a straightforward evaluation of their relationship and of the potential tradeoffs in their expression. Wu et al. (2022) [213] found that ARGs (specifically, sul1, sul2, tetW, and tetM) were positively correlated with a microcystin synthetase gene (mcyA-J). While this genetic linkage is insufficient to infer what happens at the level of expression (i.e., how, if at all, the genes’ respective gene products intermingle), its being positive suggests that inherent tradeoffs between AMR and toxin production must be minor or somehow counter-balanced in M. aeruginosa. Since other HAB-forming cyanobacteria (e.g., Planktothrix agardhii) [214] possess pathways homologous to those of M. aeruginosa, tradeoffs between AMR and toxin production are perhaps minor or counter-balanced in them, as well.

4.3. Effects on Phase

Many HAB-forming cyanobacteria have multi-phasic life cycles that encompass transitions between dormancy and activity, benthic and planktonic distributions, and dispersed and aggregate populations or growth forms (Figure 2). At the onset of HABs, these cyanobacteria, having emerged from dormancy within benthic sediment or colonized their aquatic habitat from elsewhere, become abundant and metabolically active. They generate and respond to quorum-sensing cues; form colonies, biofilms, and microbial consortia; and engage in mutualistic and antagonistic exchanges [215,216,217]. At the end of HABs, when the HABs dissipate, the cyanobacteria senesce or enter dormancy, due to factors such as starvation, disease, and changes in season. Initiating and sustaining these different phases requires various criteria to be met. For example, overwintering in a dormant state as akinetes [218] or in a fortified benthic or planktonic form [147] requires cold tolerance and adequate reserves of nutrients and energy. Forming colonies, filaments, and benthic mats requires not only growth and proliferation but also exchanges of chemical signals for cell-to-cell coordination and compartmentalization [219,220,221].
ARGs may influence these HAB-constituent attributes in various ways. For instance, they can alter cell membrane features associated with akinete viability [222,223] and the release of volatile organic compounds (VOCs) [224,225]. VOCs such as geosmin and β-cyclocitral are used by cyanobacteria not only to initiate biofilm formation and communal AMR mechanisms with other species [84,150] but also to interfere with competing phytoplankton, to repel or signal poor nutritional value to grazers [221,226], and to prime toxin synthesis [224,225]. These same VOCs can also add to the severity of HABs by causing taste and odor issues and disrupting various physiological functions in various organisms [221,227]. Although no study within our scope reported ARG effects on overwintering and aggregation in HABs, some did report evidence of ARGs affecting prerequisite or complementary cyanobacterial adaptations. Yang et al. (2008) [228] found that an occasionally HAB-forming strain of Synechocystis [229] gains its tolerance to daytime cold temperature (“chill-light tolerance”) from its natural synthesis of the antimicrobial alpha tocopherol and putative possession of the corresponding ARGs [230]. Others have shown that ARGs can affect the transmission and receipt of VOCs in heterotrophic bacteria, including some that might be found within the phycospheres of HAB-forming cyanobacteria [219,220,221,231,232,233].

4.4. Effects on Indirect Interactions

An “indirect” interaction is where one species affects another species by changing the population density, morphology, physiology, or behavior of a third species [234,235]. There is a long history of the applied use of indirect interactions in aquatic remediation and restoration (e.g., stocking fish to control phytoplankton via fish consumption of zooplankton) [236,237]. Because indirect interactions stem from direct (pairwise) interactions, it is a given that species’ traits influencing the latter must also influence the former. That influence, as previously alluded to, can even extend beyond the aquatic realm to terrestrial species such as bald eagles (Haliaeetus leucocephalus) [238], as well as transform important landscape features of the habitat (e.g., organic matter and dissolved oxygen at the surface of benthic sediments and the optical clarity of the water column) [239]. Natural resource managers and public health officials are also cognizant of indirect interactions due to the possibility of the interactions either enhancing control efforts or creating unintended consequences. Even if due to factors such as pollution, habitat alteration, and climate change, rather than to targeted removal efforts, increases in the prevalence of AMR and losses of specific groups of microbes may exacerbate existing microbial threats and create new ones.
In the context of HABs, there are numerous indirect interactions to consider. Examples include HAB-forming cyanobacteria benefiting co-occurring phytoplankton by their deterrence of grazers or harming other phytoplankton by inciting grazers to feed preferentially on phytoplankton with greater nutritional value [221,226]. There are also intriguing examples that involve the relationship between HAB-forming cyanobacteria and aquatic fungi. Multiple studies have established that fungal parasites of HAB-forming cyanobacteria can increase the ability of zooplankton to feed on and assimilate their cyanobacterial hosts [240,241,242]. Several fungicides associated with agricultural runoff (namely, tebuconazole, azoxystrobin, and itraconazole) have been found to promote HABs by killing or inhibiting such parasites [243]. Conversely, it can be fungi that interfere with the zooplankton consumption of HAB-forming cyanobacteria and the phytoplankton that facilitate it. Sánchez et al. (2019) [244] found that consuming a mix of toxic HAB-forming cyanobacteria and green algae prevents the cladoceran Daphnia dentifera from being infected by fungal parasites (genus Metschnikowia) and increases offspring production in already-infected hosts. This creates a level of predation pressure on both phytoplankton prey that is higher than what either would have experienced in the absence of the other (a phenomenon which ecologists refer to as “apparent competition”) [245].
Because of such ecological relationships, siloed efforts to control aquatic fungi may inadvertently promote HAB-forming cyanobacteria, and efforts to control HABs may inadvertently promote aquatic fungi. This would be analogous to a medical complication in clinical settings, wherein the use of antimicrobials (e.g., vancomycin) to treat bacterial infections can inadvertently promote invasive fungal infection and systemic bacterial co-infection [246]. No studies within the scope of our review have uncovered how AMR-related changes in physiology, be they in the cyanobacteria or the fungi, might affect the relationships between these organisms and the outcome of control efforts.

5. Future Directions

HABs and AMR are each pressing concerns in their own right but are also interrelated at many levels (the levels of genes, cells, populations, communities, and ecosystems, as described in the previous sections). This interrelatedness must be accounted for along with environmental impacts if one is to fully assess even their respective economic tolls. Thus, thoroughly addressing either concern ultimately requires the well-coordinated handling of both [110], with the application of systems thinking [29,247,248]. Advancements in environmental monitoring, prevention (pre-crisis), and mitigation (post-crisis) are all necessary and fair game in fulfilling this objective.

5.1. Environmental Monitoring

New technologies are increasingly making it cost-effective to comprehensively sample and survey ecosystems of concern over space and time, as well as to process immense quantities of multivariate data. Among these technologies are remote sensing tools, high-throughput genomic and bioinformatic pipelines, and artificial intelligence-based analyses and predictions, which have already been leveraged or proposed for the purposes of monitoring HABs and AMR (Table 1). Environmental DNA (eDNA) analysis is particularly useful. However, some advanced technologies are still cost-prohibitive and/or must overcome other hurdles besides costs before they can be utilized more widely and routinely. The latter hurdles may include bureaucratic limitations requiring the cooperation of multiple groups at multiple levels. They may also include the conceptual challenge of defining and obtaining reliable baselines of comparison (e.g., when evaluating risks, damages, and the success of control efforts).
For HABs, differences arise among locations and over time in (1) HAB occurrence, (2) public awareness/perception of HABs, (3) the comprehensiveness and precision of HABs monitoring, and (4) the (socioeconomic) community capacity for HABs monitoring. Each of these may make comparisons across space or with the past misleading. Similarly, for AMR, habitats deemed to have little to no pollution may nevertheless be rich in natural sources of ARGs and antimicrobials due to other conditions. Natural resource management in light of these concerns would almost certainly benefit from continued and expanded investment in social science investigations, public outreach, public engagement, and collaborative partnerships among government and non-government institutions [249,250] to assess status and effect change. Additionally, a particularly novel avenue of progress that has recently gained some traction among environmental microbiologists is the treatment of either DNA and RNA in general or particular kinds of genetic machinery (e.g., integrons) as environmental pollutants [251]. The adoption of such targets as environmental monitoring indicators might enable scientists to develop new standardized criteria and thresholds for safeguarding aquatic ecosystem services (e.g., drinking water, recreational water, wastewater, and sustainable fisheries and aquaculture). These could, in turn, accommodate or be modified to accommodate toxin synthesis genes, nutrient metabolism genes, and ARGs in HAB-forming cyanobacteria and other microbes [19].

5.2. Prevention

Current approaches to preventing the rise and spread of HABs and AMR in the environment mostly revolve around curtailing and removing anthropogenic inputs of substances favoring nuisance microbial characteristics (e.g., growth-limiting nutrients; Table 1). These are and will continue to be important but have proven insufficient to stop HABs and AMR-related problems from occurring. More targeted and deployable methods have recently been proposed for the removal of ARGs and nutrients from eutrophic aquatic ecosystems—including some that incorporate the use of algal-bacterial consortia [252]. Also under consideration are “integrated” methods (i.e., ones that combine physical, chemical, and/or biological control) [253], such as the manipulation of microbial communities to oust HAB-forming cyanobacteria and AMR-exhibiting pathogens or prevent them from establishing. Takeuchi et al. (2021) [254], for example, found that the use of certain combinations of nutrients and substrate (in the form of culture media) promoted the growth of bacteria antagonistic to Flavobacterium psychrophilum, the cause of Rainbow Trout Fry Syndrome (RTFS) and Bacterial Coldwater Disease (BCWD) in freshwater fish.
The manipulation of microbial communities to prevent HABs and AMR could also be achieved through means such as the disruption of quorum sensing and cell-to-cell adhesion [255,256] or the reconstruction of an overwintering habitat, inclusive of planting and/or re-planting non-nuisance native benthic microbes and plants [153,257]. Similar integrated approaches have been used widely and effectively to address issues such as the spread of invasive species and new and re-emerging infectious diseases [151].

5.3. Mitigation

A highly anticipated advancement that might enable natural resource managers to combat HABs and AMR in concert even as they occur is the use of phages for the biological control of HAB-constituent microbes and pathogens [258,259]. Phages (and viruses in general) are considered less likely than many other candidate biological control agents to generate non-target effects or spread beyond the area of application, due to their potential specificity and general inability to reproduce outside of living hosts [260,261]. However, they often have higher mutation rates than even their microbial hosts, which can give rise to pestilent phages or ones that coevolve with their targets in such a way as to become ineffective as biological control agents [262]. Depending on how they are deployed, they may disrupt the microbiomes of non-target eukaryotes [263]. Moreover, some have been found to contribute to AMR in the environment [264] and to alter the competitive interactions of HAB-forming cyanobacteria in unexpected ways [265]. Successfully unlocking their potential as biological control agents, given these concerns, may require sophisticated tactics such as using genetic engineering to tailor their effects on microbes in the environment [266,267] or restricting their sphere of influence to contained environments such as bioreactors within treatment plants [268,269,270].

6. Conclusions

Humans rely on antimicrobials for treating and preventing infections among humans [271], pets [272], livestock [273], and crops [274] and for purging microbial contaminations from the live cultures used in industry, culinary processes, and research [275,276,277]. This, for decades, has motivated researchers to investigate AMR as an epidemiological and public health problem, separate from issues impacting the environment. However, in investigating its effects on microbe-driven environmental disturbances, we have found that AMR can have impacts on the environment as well as human health. The freshwater cyanobacterial HABs that we have focused on in this review are conspicuous examples of such disturbances, ones that scale to the landscape level and beyond [67,79,80], but they are not unique. Others include the sorts of HABs formed by red seaweed [278], silicoflagellates [279], diatoms [280], dinoflagellates [281], haptophytes [282], or euglenophytes [283]. Such typically marine and benthic HABs have been found to dramatically impair coastal ecosystems and related human activities, including fisheries, tourism, aquaculture, and restoration. There are also fungal outbreaks of chytridiomycosis, which have caused the extinction of at least 90 different amphibian species and endangered over 400 others [284,285]; proteobacterial outbreaks of epitheliocystis, which are an ongoing cause of global fish declines [286]; and percolozoan outbreaks of Primary Amebic Meningoencephalitis, which have caused mortality in over 95% of human cases [287,288,289]. AMR may be akin to the generalist features ascribed to macroscopic invasives—i.e., a trademark of “weedy” microbes, which should warrant the same level of attention, as it might enable microbes to become invasive [290]. Even if it had been safe to assume that natural ecosystems tend to be harsher environments for microbes that exhibit AMR than for those that do not, this superficially preferable scenario can still give rise to adverse ecological outcomes because of indirect interactions. In summary, the ecology of AMR is still rife with knowledge gaps, as well as opportunities for innovation in natural resource management and the safeguarding of public health. Interdisciplinary research and development are required on many fronts to tap its potential and avoid unintended consequences of control efforts.

Author Contributions

A.B.: Conceptualization and Writing (original draft preparation and revisions); N.E.B.: Writing (review and editing); B.D.: Writing (review, editing, and figure creation); A.F.: Writing (review and editing); M.J.: Writing (review and editing); S.P.K.: Writing (review and editing). All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Acknowledgments

We thank Kasey Benesh for aiding in the initial development (and grounding) of this work; Ann Grimm, Stephen Shivers, and Anne Rea for critically reviewing an earlier draft of this manuscript; and Julia L. Witts for sharing her transdisciplinary stroke of brilliance regarding the applicability of microbial biodiversity restoration.

Conflicts of Interest

The authors declare no conflicts of interest.

Glossary

TermDefinitionReferences
AntibioticAn antimicrobial that targets bacteria. The term is sometimes used interchangeably with “antibacterial” but is not to be confused with the more general categorizations of “antimicrobial”, “biocide”, and “poison”.[291,292]
Conjugation (Microbial)The process by which donor microbes transfer DNA to compatible recipient microbes through sexual exchanges involving tube-like pili.[159]
EcosystemA location housing a community of living organisms that interact with each other and their non-living environment, its spatial boundaries and sphere of influence being defined ad hoc based on case-specific objectives.[293,294]
Ecosystem healthThe potential of an ecosystem to retain its organizational structure, biodiversity, and biogeochemical functions under stress (integrity) and to return to that state following disturbance (resilience). [295,296,297]
Ecosystem servicesEcosystem features or benefits that create interdependencies between ecosystem health and the socioeconomic needs and wants of humans.[298,299]
EpidemiologyThe study of the biological, physical, chemical, and socioeconomic determinants of disease incidence and distribution among populations and the applications of its findings for disease prevention and control.[300,301,302,303]
Intrinsic Growth RateThe highest rate at which individuals of a species can theoretically reproduce (maximum per capita population growth rate or doubling time, i.e., birth rate without death and inhibition). [304]
Introgression (Species)The acquisition of genetic variation in a species’ population from another species’ population through mating.[65]
MicrobeAny organism too small to be seen by the naked human eye. The term refers to numerous bacteria, archaea, protozoa, and algae, as well as certain animals, such as rotifers, cladocerans, tardigrades, and Demodex mites. Infrequently, it is also used to refer to organisms that, despite being single-celled or in the same taxonomic clade as well-established microbes, are visible to the naked human eye, such as the green alga Valonia ventricosa (a root-fouling mangrove epibiont that can grow up to 5 cm in length) and the bacterium Epulopiscium fishelsoni (a cigar-shaped gut symbiont of the brown surgeonfish, Acanthurus nigrofuscus, that can grow up to 600 µm in length—approximately seven times the width of a human hair).[305,306,307,308]
PhageA virus that targets non-eukaryotic microbes. Phages that target cyanobacteria are commonly referred to as “cyanophages”, whereas those that target other bacteria are called “bacteriophages”. Viruses that target other viruses are called “virophages”.[309,310,311]
Quorum SensingThe process of chemically mediated cell-to-cell communication that allows bacteria to regulate their gene expression in response to changes in population density.[312]

References

  1. Van Boeckel, T.P.; Brower, C.; Gilbert, M.; Laxminarayan, R. Global trends in antimicrobial use in food animals. Proc. Natl. Acad. Sci. USA 2015, 112, 5649–5654. [Google Scholar] [CrossRef] [PubMed]
  2. Jones, I.A.; Joshi, L.T. Biocide use in the Antimicrobial Era: A review. Molecules 2021, 26, 2276. [Google Scholar] [CrossRef] [PubMed]
  3. Demain, A.L.; Elander, R.P. The β-lactam antibiotics: Past, present, and future. Antonie Van Leeuwenhoek 1999, 75, 5–19. [Google Scholar] [CrossRef] [PubMed]
  4. Bennett, J.W.; Chung, K.-T. Alexander Fleming and the discovery of penicillin. Adv. Appl. Microbiol. 2001, 49, 163–184. [Google Scholar] [CrossRef] [PubMed]
  5. Iqbal, J.; Siddiqui, R.; Khan, N.A. Acanthamoeba and bacteria produce antimicrobials to target their counterpart. Parasit. Vectors 2014, 7, 56. [Google Scholar] [CrossRef]
  6. Vij, R.; Hube, B.; Brunke, S. Uncharted territories in the discovery of antifungal and antivirulence natural products from bacteria. Comput. Struct. Biotechnol. J. 2021, 19, 1244–1252. [Google Scholar] [CrossRef]
  7. Shiomi, K.; Ōmura, S. Antiparasitic agents produced by microorganisms. Proc. Jpn. Acad. Ser. B Phys. Biol. Sci. 2004, 80, 245–258. [Google Scholar] [CrossRef]
  8. Chekan, J.R.; McKinnie, S.M.K.; Moore, M.L.; Poplawski, S.G.; Michael, T.P.; Moore, B.S. Scalable biosynthesis of the seaweed neurochemical, Kainic Acid. Angew. Chem. Int. Ed. Engl. 2019, 58, 8454–8457. [Google Scholar] [CrossRef]
  9. Christaki, E.; Marcou, M.; Tofarides, A. Antimicrobial resistance in bacteria: Mechanisms, evolution, and persistence. J. Mol. Evol. 2020, 88, 26–40. [Google Scholar] [CrossRef]
  10. Mulvey, M.R.; Simor, A.E. Antimicrobial resistance in hospitals: How concerned should we be? CMAJ 2009, 180, 408–415. [Google Scholar] [CrossRef]
  11. Pietsch, F.; O’Neill, A.J.; Ivask, A.; Jenssen, H.; Inkinen, J.; Kahru, A.; Ahonen, M.; Schreiber, F. Selection of resistance by antimicrobial coatings in the healthcare setting. J. Hosp. Infect. 2020, 106, 115–125. [Google Scholar] [CrossRef] [PubMed]
  12. Bloomfield, S.F. Significance of biocide usage and antimicrobial resistance in domiciliary environments. J. Appl. Microbiol. 2002, 92, 144S–157S. [Google Scholar] [CrossRef] [PubMed]
  13. Lutz, J.K.; Lee, J. Prevalence and antimicrobial-resistance of Pseudomonas aeruginosa in swimming pools and hot tubs. Int. J. Environ. Res. Public Health 2011, 8, 554–564. [Google Scholar] [CrossRef] [PubMed]
  14. Akoijam, N.; Kalita, D.; Joshi, S.R. Bacteria and their industrial importance. In Industrial Microbiology and Biotechnology; Verma, P., Ed.; Springer: Singapore, 2022. [Google Scholar] [CrossRef]
  15. Verraes, C.; Van Boxstael, S.; Van Meervenne, E.; Van Coillie, E.; Butaye, P.; Catry, B.; De Schaetzen, M.-A.; Van Huffel, X.; Imberechts, H.; Dierick, K.; et al. Antimicrobial resistance in the food chain: A review. Int. J. Environ. Res. Public Health 2013, 10, 2643–2669. [Google Scholar] [CrossRef]
  16. Zhao, Y.; Yang, Q.E.; Zhou, X.; Wang, F.-H.; Muurinen, J.; Virta, M.P.; Koefoed Brandt, K.; Zhu, Y.-G. Antibiotic resistome in the livestock and aquaculture industries: Status and solutions. Crit. Rev. Environ. Sci. Technol. 2020, 51, 2159–2196. [Google Scholar] [CrossRef]
  17. Wang, L.; Yang, F.; Chen, H.; Fan, Z.; Zhou, Y.; Lu, J.; Zheng, Y. Antimicrobial cocktails to control bacterial and fungal contamination in Chlamydomonas reinhardtii cultures. BioTechniques 2018, 60, 000114392. [Google Scholar] [CrossRef]
  18. Furness, L.E.; Campbell, A.; Zhang, L.; Gaze, W.H.; McDonald, R.A. Wild small mammals as sentinels for the environmental transmission of antimicrobial resistance. Environ. Res. 2017, 154, 28–34. [Google Scholar] [CrossRef]
  19. Keely, S.P.; Brinkman, N.E.; Wheaton, E.A.; Jahne, M.A.; Siefring, S.D.; Varma, M.; Hill, R.A.; Leibowitz, S.G.; Martin, R.W.; Garland, J.L.; et al. Geospatial patterns of antimicrobial resistance genes in the US EPA National Rivers and Streams Assessment Survey. Environ. Sci. Technol. 2022, 56, 14960–14971. [Google Scholar] [CrossRef]
  20. Ferreira, J.P.; Battaglia, D.; Dorado García, A.; Tempelman, K.-A.; Bullon, C.; Motriuc, N.; Caudell, M.; Cahill, S.; Song, J.; LeJeune, J. Achieving antimicrobial stewardship on the global scale: Challenges and opportunities. Microorganisms 2022, 10, 1599. [Google Scholar] [CrossRef]
  21. Hibbard, R.; Mendelson, M.; Page, S.W.; Ferreira, J.P.; Pulcini, C.; Paul, M.C.; Faverjon, C. Antimicrobial stewardship: A definition with a One Health perspective. NPJ Antimicrob. Resist. 2024, 2, 15. [Google Scholar] [CrossRef]
  22. Ruckert, A.; Harris, F.; Aenishaenslin, C.; Aguiar, R.; Boudreau-LeBlanc, A.; Carmo, L.P.; Labonté, R.; Lambraki, I.; Parmley, E.J.; Wiktorowicz, M.E. One Health governance principles for AMR surveillance: A scoping review and conceptual framework. Res. Dir. One Health 2024, 2, e4. [Google Scholar] [CrossRef]
  23. Huijbers, P.M.C.; Blaak, H.; de Jong, M.C.M.; Graat, E.A.M.; Vandenbroucke-Grauls, C.M.J.E.; de Roda Husman, A.M. Role of the environment in the transmission of antimicrobial resistance to humans: A review. Environ. Sci. Technol. 2015, 49, 11993–12004. [Google Scholar] [CrossRef]
  24. Fletcher, S. Understanding the contribution of environmental factors in the spread of antimicrobial resistance. Environ. Health Prev. Med. 2015, 20, 243–252. [Google Scholar] [CrossRef] [PubMed]
  25. Korzeniewska, E.; Harnisz, M. Sources, occurrence, and environmental risk assessment of antibiotics and antimicrobial-resistant bacteria in aquatic environments of Poland. In Polish River Basins and Lakes—Part II; Korzeniewska, E., Harnisz, M., Eds.; The Handbook of Environmental Chemistry; Springer: Cham, Switzerland, 2020; Volume 87. [Google Scholar] [CrossRef]
  26. Katale, B.Z.; Misinzo, G.; Mshana, S.E.; Chiyangi, H.; Campino, S.; Clark, T.G.; Good, L.; Rweyemamu, M.M.; Matee, M.I. Genetic diversity and risk factors for the transmission of antimicrobial resistance across human, animals and environmental compartments in East Africa: A review. Antimicrob. Resist. Infect. Control 2020, 9, 127. [Google Scholar] [CrossRef]
  27. Samreen; Ahmad, I.; Malak, H.A.; Abulreesh, H.H. Environmental antimicrobial resistance and its drivers: A potential threat to public health. J. Glob. Antimicrob. Resist. 2021, 27, 101–111. [Google Scholar] [CrossRef] [PubMed]
  28. Ikhimiukor, O.O.; Odih, E.E.; Donado-Godoy, P.; Okeke, I.N. A bottom-up view of antimicrobial resistance transmission in developing countries. Nat. Microbiol. 2022, 7, 757–765. [Google Scholar] [CrossRef] [PubMed]
  29. Arnold, K.E.; Laing, G.; McMahon, B.J.; Fanning, S.; Stekel, D.J.; Pahl, O.; Coyne, L.; Latham, S.M.; McIntyre, K.M. The need for One Health systems-thinking approaches to understand multiscale dissemination of antimicrobial resistance. Lancet Planet. Health 2024, 8, E124–E133. [Google Scholar] [CrossRef]
  30. Singer, A.C.; Shaw, H.; Rhodes, V.; Hart, A. Review of antimicrobial resistance in the environment and its relevance to environmental regulators. Front. Microbiol. 2016, 7, 1728. [Google Scholar] [CrossRef]
  31. Mitra, S.; Chakraborty, A.J.; Tareq, A.M.; Emran, T.B.; Nainu, F.; Khusro, A.; Idris, A.M.; Khandaker, M.U.; Osman, H.; Alhumaydhi, F.A.; et al. Impact of heavy metals on the environment and human health: Novel therapeutic insights to counter the toxicity. J. King Saud Univ.-Sci. 2022, 34, 101865. [Google Scholar] [CrossRef]
  32. de Jongh, E.J.; Harper, S.L.; Yamamoto, S.S.; Wright, C.J.; Wilkinson, C.W.; Ghosh, S.; Otto, S.J.G. One Health, One Hive: A scoping review of honey bees, climate change, pollutants, and antimicrobial resistance. PLoS ONE 2022, 17, e0242393. [Google Scholar] [CrossRef]
  33. ter Kuile, B.H.; Kraupner, N.; Brul, S. The risk of low concentrations of antibiotics in agriculture for resistance in human health care. FEMS Microbiol. Lett. 2016, 363, fnw210. [Google Scholar] [CrossRef]
  34. Bengtsson-Palme, J.; Abramova, A.; Berendonk, T.U.; Coelho, L.P.; Forslund, S.K.; Gschwind, R.; Heikinheimo, A.; Jarquín-Díaz, V.H.; Khan, A.A.; Klümper, U.; et al. Towards monitoring of antimicrobial resistance in the environment: For what reasons, how to implement it, and what are the data needs? Environ. Int. 2023, 178, 108089. [Google Scholar] [CrossRef] [PubMed]
  35. Larsson, D.G.J.; Gaze, W.H.; Laxminarayan, R.; Topp, E. AMR, One Health and the environment. Nat. Microbiol. 2023, 8, 754–755. [Google Scholar] [CrossRef] [PubMed]
  36. Schreiber, C.; Zacharias, N.; Essert, S.M.; Wasser, F.; Müller, H.; Sib, E.; Precht, T.; Parcina, M.; Bierbaum, G.; Schmithausen, R.M.; et al. Clinically relevant antibiotic-resistant bacteria in aquatic environments—An optimized culture-based approach. Sci. Total Environ. 2021, 750, 142265. [Google Scholar] [CrossRef] [PubMed]
  37. Davis, B.C.; Keenum, I.; Calarco, J.; Liguori, K.; Milligan, E.; Pruden, A.; Harwood, V.J. Towards the standardization of Enterococcus culture methods for waterborne antibiotic resistance monitoring: A critical review of trends across studies. Water Res. X 2022, 17, 100161. [Google Scholar] [CrossRef] [PubMed]
  38. Deekshit, V.K.; Srikumar, S. ‘To be, or not to be’—The dilemma of ‘silent’ antimicrobial resistance genes in bacteria. J. Appl. Microbiol. 2022, 133, 2902–2914. [Google Scholar] [CrossRef]
  39. Grenni, P.; Ancona, V.; Barra Caracciolo, A. Ecological effects of antibiotics on natural ecosystems: A review. Microchem. J. 2018, 136, 25–39. [Google Scholar] [CrossRef]
  40. Linz, A.M.; He, S.; Stevens, S.L.R.; Anantharaman, K.; Rohwer, R.R.; Malmstrom, R.R.; Bertilsson, S.; McMahon, K.D. Freshwater carbon and nutrient cycles revealed through reconstructed population genomes. PeerJ 2018, 6, e6075. [Google Scholar] [CrossRef]
  41. Steffan, S.A.; Dharampal, P.S. Undead food-webs: Integrating microbes into the food-chain. Food Webs 2019, 18, e00111. [Google Scholar] [CrossRef]
  42. Yang, Q.; Gao, Y.; Ke, J.; Show, P.L.; Ge, Y.; Liu, Y.; Guo, R.; Chen, J. Antibiotics: An overview on the environmental occurrence, toxicity, degradation, and removal methods. Bioengineered 2021, 12, 7376–7416. [Google Scholar] [CrossRef]
  43. Noda, H.; Watanabe, K.; Kawai, S.; Yukuhiro, F.; Miyoshi, T.; Tomizawa, M.; Koizumi, Y.; Nikoh, N.; Fukatsu, T. Bacteriome-associated endosymbionts of the green rice leafhopper Nephotettix cincticeps (Hemiptera: Cicadellidae). Appl. Entomol. Zool. 2012, 47, 217–225. [Google Scholar] [CrossRef]
  44. Kraemer, S.A.; Ramachandran, A.; Perron, G.G. Antibiotic pollution in the environment: From microbial ecology to public policy. Microorganisms 2019, 7, 180. [Google Scholar] [CrossRef] [PubMed]
  45. Pepper, I.L.; Brooks, J.P.; Gerba, C.P. Antibiotic resistant bacteria in municipal wastes: Is there reason for concern? Environ. Sci. Technol. 2018, 52, 3949–3959. [Google Scholar] [CrossRef] [PubMed]
  46. Khan, N.A.; Vambol, V.; Vambol, S.; Bolibrukh, B.; Sillanpaa, M.; Changani, F.; Esrafili, A.; Yousefi, M. Hospital effluent guidelines and legislation scenario around the globe: A critical review. J. Environ. Chem. Eng. 2021, 9, 105874. [Google Scholar] [CrossRef]
  47. Madani, M.; Seth, R.; Leon, L.F.; Valipour, R.; McCrimmon, C. Three dimensional modelling to assess contributions of major tributaries to fecal microbial pollution of lake St. Clair and Sandpoint Beach. J. Great Lakes Res. 2020, 46, 159–179. [Google Scholar] [CrossRef]
  48. Baquero, F.; Coque, T.M.; Martínez, J.-L. Natural detoxification of antibiotics in the environment: A one health perspective. Front. Microbiol. 2022, 13, 1062399. [Google Scholar] [CrossRef]
  49. Raven, P.H. Does the use of transgenic plants diminish or promote biodiversity? New Biotechnol. 2010, 27, 528–533. [Google Scholar] [CrossRef]
  50. Fan, J.; Dong, Y.; Yu, X.; Yao, L.; Li, D.; Wang, J.; Yang, M. Assessment of environmental microbial effects of insect-resistant transgenic Populus × euramericana cv. ‘74/76’ based on high-throughput sequencing. Acta Physiol. Plant. 2020, 42, 167. [Google Scholar] [CrossRef]
  51. Rai, P.K.; Kim, K.-H.; Lee, S.S.; Lee, J.-H. Molecular mechanisms in phytoremediation of environmental contaminants and prospects of engineered transgenic plants/microbes. Sci. Total Environ. 2020, 705, 135858. [Google Scholar] [CrossRef]
  52. Tassin, J.; Rangan, H.; Kull, C.A. Hybrid improved tree fallows: Harnessing invasive woody legumes for agroforestry. Agroforest. Syst. 2012, 84, 417–428. [Google Scholar] [CrossRef]
  53. Sharma, G.; Barney, J.N.; Westwood, J.H.; Haak, D.C. Into the weeds: New insights in plant stress. Trends Plant Sci. 2021, 26, P1050–P1060. [Google Scholar] [CrossRef] [PubMed]
  54. Nyamukondiwa, C.; Machekano, H.; Chidawanyika, F.; Mutamiswa, R.; Ma, G.; Ma, C.-S. Geographic dispersion of invasive crop pests: The role of basal, plastic climate stress tolerance and other complementary traits in the tropics. Curr. Opin. Insect Sci. 2022, 50, 100878. [Google Scholar] [CrossRef] [PubMed]
  55. Kogut, M.H.; Lee, A.; Santin, E. Microbiome and pathogen interaction with the immune system. Poult. Sci. 2020, 99, 1906–1913. [Google Scholar] [CrossRef] [PubMed]
  56. Raffini, F.; Bertorelle, G.; Biello, R.; D’Urso, G.; Russo, D.; Bosso, L. From nucleotides to satellite imagery: Approaches to identify and manage the invasive pathogen Xylella fastidiosa and its insect vectors in Europe. Sustainability 2020, 12, 4508. [Google Scholar] [CrossRef]
  57. Pakbin, B.; Brück, W.M.; Rossen, J.W.A. Virulence Factors of Enteric Pathogenic Escherichia coli: A Review. Int. J. Mol. Sci. 2021, 22, 9922. [Google Scholar] [CrossRef]
  58. Rokas, A. Evolution of the human pathogenic lifestyle in fungi. Nat. Microbiol. 2022, 7, 607–619. [Google Scholar] [CrossRef]
  59. Chen, X.-R.; Wen, K.; Zhou, X.; Zhu, M.-Y.; Liu, Y.; Jin, J.-H.; Nellist, C.F. The devastating oomycete phytopathogen Phytophthora cactorum: Insights into its biology and molecular features. Mol. Plant Pathol. 2023, 24, 1017–1032. [Google Scholar] [CrossRef]
  60. Duke, S.O. Will herbicide resistance ultimately benefit agriculture? In Weed and Crop Resistance to Herbicides; De Prado, R., Jorrín, J., García-Torres, L., Eds.; Springer: Dordrecht, The Netherland, 1997. [Google Scholar] [CrossRef]
  61. Délye, C.; Jasieniuk, M.; Le Corre, V. Deciphering the evolution of herbicide resistance in weeds. Trends Genet. 2013, 29, 649–658. [Google Scholar] [CrossRef]
  62. Bielza, P. Insecticide resistance in natural enemies. In Advances in Insect Control and Resistance Management; Horowitz, A., Ishaaya, I., Eds.; Springer: Cham, Switzerland, 2016. [Google Scholar] [CrossRef]
  63. Dermauw, W.; Pym, A.; Bass, C.; Van Leeuwen, T.; Feyereisen, R. Does host plant adaptation lead to pesticide resistance in generalist herbivores? Curr. Opin. Insect Sci. 2018, 26, 25–33. [Google Scholar] [CrossRef]
  64. Leroy, T.; Louvet, J.-M.; Lalanne, C.; Le Provost, G.; Labadie, K.; Aury, J.-M.; Delzon, S.; Plomion, C.; Kremer, A. Adaptive introgression as a driver of local adaptation to climate in European white oaks. New Phytol. 2020, 226, 1171–1182. [Google Scholar] [CrossRef]
  65. Edelman, N.B.; Mallet, J. Prevalence and adaptive impact of introgression. Annu. Rev. Genet. 2021, 55, 265–283. [Google Scholar] [CrossRef] [PubMed]
  66. Ramzan, M.; Raza, A.; un Nisa, Z.; Abdel-Massih, R.M.; Al Bakain, R.; Cabrerizo, F.M.; Dela Cruz, T.E.; Aziz, R.K.; Musharraf, S.G. Detection of antimicrobial resistance (AMR) and antimicrobial susceptibility testing (AST) using advanced spectroscopic techniques: A review. TrAC Trends Anal. Chem. 2024, 172, 117562. [Google Scholar] [CrossRef]
  67. Coffer, M.M.; Schaeffer, B.A.; Darling, J.A.; Urquhart, E.A.; Salls, W.B. Quantifying national and regional cyanobacterial occurrence in US lakes using satellite remote sensing. Ecol. Indic. 2020, 111, 105976. [Google Scholar] [CrossRef]
  68. Stewart, I.; Robertson, I.M.; Webb, P.M.; Schluter, P.J.; Shaw, G.R. Cutaneous hypersensitivity reactions to freshwater cyanobacteria—Human volunteer studies. BMC Dermatol. 2006, 6, 6. [Google Scholar] [CrossRef] [PubMed]
  69. Vranješ, N.; Jovanović, M. Cyanotoxins: A dermatological problem. Arch. Oncol. 2011, 19, 64–66. [Google Scholar] [CrossRef]
  70. Lad, A.; Breidenbach, J.D.; Su, R.C.; Murray, J.; Kuang, R.; Mascarenhas, A.; Najjar, J.; Patel, S.; Hegde, P.; Youssef, M.; et al. As we drink and breathe: Adverse health effects of microcystins and other harmful algal bloom toxins in the liver, gut, lungs and beyond. Life 2022, 12, 418. [Google Scholar] [CrossRef]
  71. Zilius, M.; Bartoli, M.; Bresciani, M.; Katarzyte, M.; Ruginis, T.; Petkuviene, J.; Lubiene, I.; Giardino, C.; Bukaveckas, P.A.; de Wit, R.; et al. Feedback mechanisms between cyanobacterial blooms, transient hypoxia, and benthic phosphorus regeneration in shallow coastal environments. Estuaries Coasts 2014, 37, 680–694. [Google Scholar] [CrossRef]
  72. Raven, J.A.; Gobler, C.J.; Hansen, P.J. Dynamic CO2 and pH levels in coastal, estuarine, and inland waters: Theoretical and observed effects on harmful algal blooms. Harmful Algae 2020, 91, 101594. [Google Scholar] [CrossRef]
  73. Hong, H.; Lv, J.; Deng, A.; Tang, Y.; Liu, Z. A review of experimental Assessment Processes of material resistance to marine and freshwater biofouling. J. Environ. Manag. 2024, 357, 120766. [Google Scholar] [CrossRef]
  74. Zou, R.; Li, Y.; Zhao, L.; Liu, Y. Chapter 15—Exploring the mechanism of catastrophic regime shift in a shallow plateau lake: A three-dimensional water quality modeling approach. Dev. Environ. Model. 2014, 26, 411–435. [Google Scholar] [CrossRef]
  75. Weigel, B.; Kotamäki, N.; Malve, O.; Vuorio, K.; Ovaskainen, O. Macrosystem community change in lake phytoplankton and its implications for diversity and function. Glob. Ecol. Biogeogr. 2023, 32, 295–309. [Google Scholar] [CrossRef] [PubMed]
  76. Hilborn, E.D.; Roberts, V.A.; Backer, L.; DeConno, E.; Egan, J.S.; Hyde, J.B.; Nicholas, D.C.; Wiegert, E.J.; Billing, L.M.; DiOrio, M.; et al. Algal bloom–associated disease outbreaks among users of freshwater lakes—United States, 2009–2010. Morb. Mortal. Wkly. Rep. 2014, 63, 11–15. [Google Scholar] [PubMed] [PubMed Central]
  77. Chatterjee, S.; More, M. Cyanobacterial harmful algal bloom toxin microcystin and increased Vibrio occurrence as climate-change-induced biological co-stressors: Exposure and disease outcomes via their interaction with gut–liver–brain axis. Toxins 2023, 15, 289. [Google Scholar] [CrossRef] [PubMed]
  78. Hebert, C.E.; Weseloh, D.V.C.; Idrissi, A.; Arts, M.T.; O’Gorman, R.; Gorman, O.T.; Locke, B.; Madenjian, C.P.; Roseman, E.F. Restoring piscivorous fish populations in the Laurentian Great Lakes causes seabird dietary change. Ecology 2008, 89, 891–897. [Google Scholar] [CrossRef] [PubMed]
  79. Schwark, M.; Martínez Yerena, J.A.; Röhrborn, K.; Niedermeyer, T.H.J. More than just an eagle killer: The freshwater cyanobacterium Aetokthonos hydrillicola produces highly toxic dolastatin derivatives. Proc. Natl. Acad. Sci. USA 2023, 120, e2219230120. [Google Scholar] [CrossRef]
  80. Fetscher, A.E.; Howard, M.D.A.; Stancheva, R.; Kudela, R.M.; Stein, E.D.; Sutula, M.A.; Busse, L.B.; Sheath, R.G. Wadeable streams as widespread sources of benthic cyanotoxins in California, USA. Harmful Algae 2015, 49, 105–116. [Google Scholar] [CrossRef]
  81. Poole, K. Bacterial stress responses as determinants of antimicrobial resistance. J. Antimicrob. Chemother. 2012, 67, 2069–2089. [Google Scholar] [CrossRef]
  82. Kang, K.; Imamovic, L.; Misiakou, M.-A.; Bornakke Sørensen, M.; Heshiki, Y.; Ni, Y.; Zheng, T.; Li, J.; Ellabaan, M.M.H.; Colomer-Lluch, M.; et al. Expansion and persistence of antibiotic-specific resistance genes following antibiotic treatment. Gut Microbes 2021, 13, 1900995. [Google Scholar] [CrossRef]
  83. Banerji, A.; Jahne, M.; Herrmann, M.; Brinkman, N.; Keely, S. Bringing community ecology to bear on the issue of antimicrobial resistance. Front. Microbiol. 2019, 10, e02626. [Google Scholar] [CrossRef]
  84. Bottery, M.J.; Pitchford, J.W.; Friman, V.-P. Ecology and evolution of antimicrobial resistance in bacterial communities. ISME J. 2021, 15, 939–948. [Google Scholar] [CrossRef]
  85. Hernández-Navarro, L.; Asker, M.; Rucklidge, A.M.; Mobilia, M. Coupled environmental and demographic fluctuations shape the evolution of cooperative antimicrobial resistance. J. R. Soc. Interface 2023, 20, 20230393. [Google Scholar] [CrossRef] [PubMed]
  86. Hunter, P.D.; Hanley, N.; Czajkowski, M.; Mearns, K.; Tyler, A.N.; Carvalho, L.; Codd, G.A. The effect of risk perception on public preferences and willingness to pay for reductions in the health risks posed by toxic cyanobacterial blooms. Sci. Total Environ. 2012, 426, 32–44. [Google Scholar] [CrossRef] [PubMed]
  87. Cheung, M.Y.; Liang, S.; Lee, J. Toxin-producing cyanobacteria in freshwater: A review of the problems, impact on drinking water safety, and efforts for protecting public health. J. Microbiol. 2013, 51, 1–10. [Google Scholar] [CrossRef] [PubMed]
  88. Saqrane, S.; Oudra, B. CyanoHAB occurrence and water irrigation cyanotoxin contamination: Ecological impacts and potential health risks. Toxins 2009, 1, 113–122. [Google Scholar] [CrossRef] [PubMed]
  89. Martins, J.; Peixe, L.; Vasconcelos, V.M. Unraveling cyanobacteria ecology in wastewater treatment plants (WWTP). Microb. Ecol. 2011, 62, 241–256. [Google Scholar] [CrossRef]
  90. Rich, J.O.; Anderson, A.M.; Leathers, T.D.; Bischoff, K.M.; Liu, S.; Skory, C.D. Microbial contamination of commercial corn-based fuel ethanol fermentations. Bioresour. Technol. Rep. 2020, 11, 100433. [Google Scholar] [CrossRef]
  91. Uluseker, C.; Kaster, K.M.; Thorsen, K.; Basiry, D.; Shobana, S.; Jain, M.; Kumar, G.; Kommedal, R.; Pala-Ozkok, I. A review on occurrence and spread of antibiotic resistance in wastewaters and in wastewater treatment plants: Mechanisms and perspectives. Front. Microbiol. 2021, 12, 2021. [Google Scholar] [CrossRef]
  92. Gobler, C.J. Climate change and harmful algal blooms: Insights and perspective. Harmful Algae 2020, 91, 101731. [Google Scholar] [CrossRef]
  93. Magnano San Lio, R.; Favara, G.; Maugeri, A.; Barchitta, M.; Agodi, A. How antimicrobial resistance is linked to climate change: An overview of two intertwined global challenges. Int. J. Environ. Res. Public Health 2023, 20, 1681. [Google Scholar] [CrossRef]
  94. Schindler, D.W. The dilemma of controlling cultural eutrophication of lakes. Proc. R. Soc. B 2012, 279, 4322–4333. [Google Scholar] [CrossRef]
  95. Cooperrider, M.C.; Davenport, L.; Goodwin, S.; Ryden, L.; Way, N.; Korstad, J. Case studies on cultural eutrophication on watersheds around lakes that contribute to toxic blue-green algal blooms. In Ecological and Practical Applications for Sustainable Agriculture; Bauddh, K., Kumar, S., Singh, R., Korstad, J., Eds.; Springer: Singapore, 2020. [Google Scholar] [CrossRef]
  96. Li, X.-D.; Chen, Y.-H.; Liu, C.; Hong, J.; Deng, H.; Yu, D.-J. Eutrophication and related antibiotic resistance of Enterococci in the Minjiang River, China. Microb. Ecol. 2020, 80, 1–13. [Google Scholar] [CrossRef] [PubMed]
  97. Nguyen, A.Q.; Vu, H.P.; Nguyen, L.N.; Wang, Q.; Djordjevic, S.P.; Donner, E.; Yin, H.; Nghiem, L.D. Monitoring antibiotic resistance genes in wastewater treatment: Current strategies and future challenges. Sci. Total Environ. 2021, 783, 146964. [Google Scholar] [CrossRef] [PubMed]
  98. Duan, X.; Zhang, C.; Struewing, I.; Li, X.; Allen, J.; Lu, J. Cyanotoxin-encoding genes as powerful predictors of cyanotoxin production during harmful cyanobacterial blooms in an inland freshwater lake: Evaluating a novel early-warning system. Sci. Total Environ. 2022, 830, 154568. [Google Scholar] [CrossRef] [PubMed]
  99. Zhang, Q.; Zhang, Z.; Lu, T.; Peijnenburg, W.J.G.M.; Gillings, M.; Yang, X.; Chen, J.; Penuelas, J.; Zhu, Y.-G.; Zhou, N.-Y.; et al. Cyanobacterial blooms contribute to the diversity of antibiotic-resistance genes in aquatic ecosystems. Commun. Biol. 2020, 3, 737. [Google Scholar] [CrossRef] [PubMed]
  100. Li, J.-J.; Chao, J.-J.; McKay, R.M.L.; Xu, R.-B.; Wang, T.; Xu, J.; Zhang, J.-L.; Chang, X.-X. Antibiotic pollution promotes dominance by harmful cyanobacteria: A case study examining norfloxacin exposure in competition experiments. J. Phycol. 2021, 57, 677–688. [Google Scholar] [CrossRef]
  101. Timms, V.J.; Hassan, K.A.; Pearson, L.A.; Neilan, B.A. Cyanobacteria as a critical reservoir of the environmental antimicrobial resistome. Environ. Microbiol. 2023; in print. [Google Scholar] [CrossRef]
  102. Volk, A.; Lee, J. Cyanobacterial blooms: A player in the freshwater environmental resistome with public health relevance? Environ. Res. 2023, 216 Pt 2, 114612. [Google Scholar] [CrossRef]
  103. Zhao, L.; Lin, L.-Z.; Zeng, Y.; Teng, W.-K.; Chen, M.-Y.; Brand, J.J.; Zheng, L.-L.; Gan, N.-Q.; Gong, Y.-H.; Li, X.-Y.; et al. The facilitating role of phycospheric heterotrophic bacteria in cyanobacterial phosphonate availability and Microcystis bloom maintenance. Microbiome 2023, 11, 142. [Google Scholar] [CrossRef]
  104. Xiao, Y.; Du, M.; Deng, Y.; Deng, Q.; Wang, X.; Yang, Y.; Zhang, B.; Zhang, Y.-Q. Modulation of growth, microcystin production, and algal-bacterial interactions of the bloom-forming algae Microcystis aeruginosa by a novel bacterium recovered from its phycosphere. Front. Microbiol. 2024, 15, 1295696. [Google Scholar] [CrossRef]
  105. Park, Y.; Kim, W.; Kim, M.; Park, W. The β-Lactamase activity at the community level confers β-lactam resistance to bloom-forming Microcystis aeruginosa cells. J. Microbiol. 2023, 61, 807–820. [Google Scholar] [CrossRef]
  106. Lee, S.; Kim, J.; Lee, J. Colonization of toxic cyanobacteria on the surface and inside of leafy green: A hidden source of cyanotoxin production and exposure. Food Microbiol. 2021, 94, 103655. [Google Scholar] [CrossRef]
  107. Mutoti, M.; Gumbo, J.; Jideani, A.I.O. Occurrence of cyanobacteria in water used for food production: A review. Phys. Chem. Earth Parts A/B/C 2022, 125, 103101. [Google Scholar] [CrossRef]
  108. Hilborn, E.D.; Ward, R.A. The risk of cyanobacterial toxins in dialysate: What do we know? Semin. Dial. 2016, 29, 15–18. [Google Scholar] [CrossRef] [PubMed]
  109. Facciponte, D.N.; Bough, M.W.; Seidler, D.; Carroll, J.L.; Ashare, A.; Andrew, A.S.; Tsongalis, G.J.; Vaickus, L.J.; Henegan, P.L.; Butt, T.H.; et al. Identifying aerosolized cyanobacteria in the human respiratory tract: A proposed mechanism for cyanotoxin-associated diseases. Sci. Total Environ. 2018, 645, 1003–1013. [Google Scholar] [CrossRef]
  110. Li, W.; Mao, F.; Te, S.H.; He, Y.; Gin, K. Y-H. Impacts of Microcystis on the dissemination of the antibiotic resistome in cyanobacterial blooms. ACS EST Water 2021, 1, 1263–1273. [Google Scholar] [CrossRef]
  111. Sukenik, A.; Kaplan, A. Cyanobacterial harmful algal blooms in aquatic ecosystems: A comprehensive outlook on current and emerging mitigation and control approaches. Microorganisms 2021, 9, 1472. [Google Scholar] [CrossRef]
  112. Mudenda, S.; Chabalenge, B.; Daka, V.; Mfune, R.L.; Salachi, K.I.; Mohamed, S.; Mufwambi, W.; Kasanga, M.; Matafwali, S.K. Global strategies to combat antimicrobial resistance: A One Health perspective. Pharmacol. Pharm. 2023, 14, 271–328. [Google Scholar] [CrossRef]
  113. Igwaran, A.; Kayode, A.J.; Moloantoa, K.M.; Khetsha, Z.P.; Unuofin, J.O. Cyanobacteria harmful algae blooms: Causes, impacts, and risk management. Water Air Soil Pollut. 2024, 235, 71. [Google Scholar] [CrossRef]
  114. El-Gohary, F.A.; Abdel-Hafez, L.J.M.; Zakaria, A.I.; Shata, R.R.; Tahoun, A.; El-Mleeh, A.; Abo Elfadl, E.A.; Elmahallawy, E.K. Enhanced antibacterial activity of silver nanoparticles combined with hydrogen peroxide against multidrug-resistant pathogens isolated from dairy farms and beef slaughterhouses in Egypt. Infect. Drug Resist. 2020, 13, 3485–3499. [Google Scholar] [CrossRef]
  115. Nie, M.; e Silva, R.C.; de Oliveira, K.T.; Bagnato, V.S.; de Souza Rastelli, A.N.; Crielaard, W.; Yang, J.; Deng, D.M. Synergetic antimicrobial effect of chlorin e6 and hydrogen peroxide on multi-species biofilms. Biofouling 2021, 37, 656–665. [Google Scholar] [CrossRef]
  116. Rivera-Sánchez, S.P.; Rojas-Abadía, J.M.; Ríos-Acevedo, J.J.; Mejía-Hurtado, A.F.; Espinosa-Moya, L.N.; Ocampo-Ibáñez, I.D. Efficacy of vaporized hydrogen peroxide combined with silver ions against multidrug-resistant Gram-negative and Gram-positive clinical isolates. Int. J. Mol. Sci. 2022, 23, 15826. [Google Scholar] [CrossRef]
  117. Han, S.-I.; Kim, S.; Choi, K.Y.; Lee, C.; Park, Y.; Choi, Y.-E. Control of a toxic cyanobacterial bloom species, Microcystis aeruginosa, using the peptide HPA3NT3-A2. Environ. Sci. Pollut. Res. 2019, 26, 32255–32265. [Google Scholar] [CrossRef] [PubMed]
  118. Taguchi, V.J.; Weiss, P.T.; Gulliver, J.S.; Klein, M.R.; Hozalski, R.M.; Baker, L.A.; Finlay, J.C.; Keeler, B.L.; Nieber, J.L. It is not easy being green: Recognizing unintended consequences of green stormwater infrastructure. Water 2020, 12, 522. [Google Scholar] [CrossRef]
  119. O’Malley, K.; McNamara, P.; Marshall, C.; LaMartina, E.L.; Lam, T.; Ali, N.; McDonald, W. Environmental drivers impact the accumulation and diversity of antibiotic resistance in green stormwater infrastructure. J. Hazard. Mater. 2024, 469, 133923. [Google Scholar] [CrossRef] [PubMed]
  120. Fitzpatrick, K.J.; Rohlf, H.J.; Sutherland, T.D.; Koo, K.M.; Beckett, S.; Okelo, W.O.; Keyburn, A.L.; Morgan, B.S.; Drigo, B.; Trau, M.; et al. Progressing antimicrobial resistance sensing technologies across human, animal, and environmental health domains. ACS Sens. 2021, 6, 4283–4296. [Google Scholar] [CrossRef] [PubMed]
  121. Karp, B.E.; Tate, H.; Plumblee, J.R.; Dessai, U.; Whichard, J.M.; Thacker, E.L.; Hale, K.R.; Wilson, W.; Friedman, C.R.; Griffin, P.M.; et al. National Antimicrobial Resistance Monitoring System: Two decades of advancing public health through integrated surveillance of antimicrobial resistance. Foodborne Pathog. Dis. 2017, 14, 545–557. [Google Scholar] [CrossRef]
  122. Franklin, A.M.; Weller, D.L.; Durso, L.M.; Bagley, M.; Davis, B.C.; Frye, J.G.; Grim, C.J.; Ibekwe, A.M.; Jahne, M.A.; Keely, S.P.; et al. A one health approach for monitoring antimicrobial resistance: Developing a national freshwater pilot effort. Front. Water 2024, 6, 1359109. [Google Scholar] [CrossRef]
  123. MacKeigan, P.W.; Garner, R.E.; Monchamp, M.-È.; Walsh, D.A.; Onana, V.E.; Kraemer, S.A.; Pick, F.R.; Beisner, B.E.; Agbeti, M.D.; da Costa, N.B.; et al. Comparing microscopy and DNA metabarcoding techniques for identifying cyanobacteria assemblages across hundreds of lakes. Harmful Algae 2022, 113, 102187. [Google Scholar] [CrossRef]
  124. Liu, S.; Glamore, W.; Tamburic, B.; Morrow, A.; Johnson, F. Remote sensing to detect harmful algal blooms in inland waterbodies. Sci. Total Environ. 2022, 851, 158096. [Google Scholar] [CrossRef]
  125. Ansari, M.M.; Kuche, K.; Ghadi, R.; Date, T.; Chaudhari, D.; Khan, R.; Jain, S. Socioeconomic impact of antimicrobial resistance and their integrated mitigation by One Health approach. In Emerging Modalities in Mitigation of Antimicrobial Resistance; Akhtar, N., Singh, K.S., Prerna, Goyal, D., Eds.; Springer: Cham, Switzerland, 2022. [Google Scholar] [CrossRef]
  126. Moore, S.K.; Broadwater, M.; Cha, C.; Dortch, Q.; Harvey, C.J.; Norman, K.C.; Pearce, J.; Pomeroy, C.; Samhouri, J.F. Exploring the human dimensions of harmful algal blooms through a well-being framework to increase resilience in a changing world. PLoS Clim. 2024, 3, e0000411. [Google Scholar] [CrossRef]
  127. Manaia, C.M. Framework for establishing regulatory guidelines to control antibiotic resistance in treated effluents. Crit. Rev. Environ. Sci. Technol. 2023, 53, 754–779. [Google Scholar] [CrossRef]
  128. Nwankwegu, A.S.; Li, Y.; Huang, Y.; Wei, J.; Norgbey, E.; Sarpong, L.; Lai, Q.; Wang, K. Harmful algal blooms under changing climate and constantly increasing anthropogenic actions: The review of management implications. 3 Biotech 2019, 9, 449. [Google Scholar] [CrossRef] [PubMed]
  129. Simoneit, C.; Burow, E.; Tenhagen, B.-A.; Käsbohrer, A. Oral administration of antimicrobials increase antimicrobial resistance in E. coli from chicken—A systematic review. Prev. Vet. Med. 2015, 118, 1–7. [Google Scholar] [CrossRef] [PubMed]
  130. Broom, J.; Broom, A.; Kenny, K.; Konecny, P.; Post, J.J. Regulating antimicrobial use within hospitals: A qualitative study. Infect. Dis. Health 2024, 29, 81–90. [Google Scholar] [CrossRef] [PubMed]
  131. Padiyara, P.; Inoue, H.; Sprenger, M. Global governance mechanisms to address antimicrobial resistance. Infect. Dis. Res. Treat. 2018, 11, 1178633718767887. [Google Scholar] [CrossRef]
  132. Maillard, J.-Y.; Bloomfield, S.F.; Courvalin, P.; Essack, S.Y.; Gandra, S.; Gerba, C.P.; Rubino, J.R.; Scott, E.A. Reducing antibiotic prescribing and addressing the global problem of antibiotic resistance by targeted hygiene in the home and everyday life settings: A position paper. Am. J. Infect. Control 2020, 48, 1090–1099. [Google Scholar] [CrossRef]
  133. Marimuthu, K.; Pittet, D.; Harbarth, S. The effect of improved hand hygiene on nosocomial MRSA control. Antimicrob. Resist. Infect. Control 2014, 3, 34. [Google Scholar] [CrossRef]
  134. Doblin, M.A.; Coyne, K.J.; Rinta-Kanto, J.M.; Wilhelm, S.W.; Dobbs, F.C. Dynamics and short-term survival of toxic cyanobacteria species in ballast water from NOBOB vessels transiting the Great Lakes—Implications for HAB invasions. Harmful Algae 2007, 6, 519–530. [Google Scholar] [CrossRef]
  135. Curren, E.; Leong, S.C.Y. Natural and anthropogenic dispersal of cyanobacteria: A review. Hydrobiologia 2020, 847, 2801–2822. [Google Scholar] [CrossRef]
  136. Abedon, S.T.; Danis-Wlodarczyk, K.M.; Wozniak, D.J. Phage cocktail development for bacteriophage therapy: Toward improving spectrum of activity breadth and depth. Pharmaceuticals 2021, 14, 1019. [Google Scholar] [CrossRef]
  137. Micoli, F.; Bagnoli, F.; Rappuoli, R.; Serruto, D. The role of vaccines in combatting antimicrobial resistance. Nat. Rev. Microbiol. 2021, 19, 287–302. [Google Scholar] [CrossRef]
  138. Raza, S.; Matuła, K.; Karoń, S.; Paczesny, J. Resistance and adaptation of bacteria to non-antibiotic antibacterial agents: Physical stressors, nanoparticles, and bacteriophages. Antibiotics 2021, 10, 435. [Google Scholar] [CrossRef] [PubMed]
  139. Grasso, C.R.; Pokrzywinski, K.L.; Waechter, C.; Rycroft, T.; Zhang, Y.; Aligata, A.; Kramer, M.; Lamsal, A. A review of cyanophage–host relationships: Highlighting cyanophages as a potential cyanobacteria control strategy. Toxins 2022, 14, 385. [Google Scholar] [CrossRef] [PubMed]
  140. Anabtawi, H.M.; Lee, W.H.; Al-Anazi, A.; Mohamed, M.M.; Hassan, A.A. Advancements in biological strategies for controlling harmful algal blooms (HABs). Water 2024, 16, 224. [Google Scholar] [CrossRef]
  141. Bilal, M.; Ashraf, S.S.; Barceló, D.; Iqbal, H.M.N. Biocatalytic degradation/redefining “removal” fate of pharmaceutically active compounds and antibiotics in the aquatic environment. Sci. Total Environ. 2019, 691, 1190–1211. [Google Scholar] [CrossRef] [PubMed]
  142. Kayal, A.; Mandal, S. Microbial degradation of antibiotic: Future possibility of mitigating antibiotic pollution. Environ. Monit. Assess. 2022, 194, 639. [Google Scholar] [CrossRef] [PubMed]
  143. Ren, X.; Yu, Z.; Qiu, L.; Cao, X.; Song, X. Effects of modified clay on Phaeocystis globosa growth and colony formation. Int. J. Environ. Res. Public Health 2021, 18, 10163. [Google Scholar] [CrossRef]
  144. Summers, E.J.; Ryder, J.L. A critical review of operational strategies for the management of harmful algal blooms (HABs) in inland reservoirs. J. Environ. Manag. 2023, 330, 117141. [Google Scholar] [CrossRef]
  145. Kumariya, S.; Mehra, R.; Kumariya, R. Regulations in antimicrobial drug development: Challenges and new incentives. In Emerging Modalities in Mitigation of Antimicrobial Resistance; Akhtar, N., Singh, K.S., Prerna, Goyal, D., Eds.; Springer: Cham, Switzerland, 2022. [Google Scholar] [CrossRef]
  146. Zerrifi, S.E.A.; Mugani, R.; Redouane, E.M.; Khalloufi, F.E.; Campos, A.; Vasconcelos, V.; Oudra, B. Harmful cyanobacterial blooms (HCBs): Innovative green bioremediation process based on anti-cyanobacteria bioactive natural products. Arch. Microbiol. 2021, 203, 31–44. [Google Scholar] [CrossRef]
  147. Calomeni, A.; McQueen, A.; Kinley-Baird, C.; Clyde, G., Jr.; Gusler, G.; Boyer, M.; Smith, E.F. Efficacy of algaecides for the proactive treatment of overwintering cyanobacteria. Ecotoxicol. Environ. Saf. 2023, 262, 115187. [Google Scholar] [CrossRef]
  148. Hiller, C.X.; Hübner, U.; Fajnorova, S.; Schwartz, T.; Drewes, J.E. Antibiotic microbial resistance (AMR) removal efficiencies by conventional and advanced wastewater treatment processes: A review. Sci. Total Environ. 2019, 685, 596–608. [Google Scholar] [CrossRef]
  149. Rutherford, S.T.; Bassler, B.L. Bacterial quorum sensing: Its role in virulence and possibilities for its control. Cold Spring Harb. Perspect. Med. 2012, 2, a012427. [Google Scholar] [CrossRef] [PubMed]
  150. Belizário, J.E.; Sulca-Lopez, M.; Sircili, M.; Faintuch, J. Role of small volatile signaling molecules in the regulation of bacterial antibiotic resistance and quorum sensing systems. In Trends in Quorum Sensing and Quorum Quenching; Rai, V.R., Bai, J.A., Eds.; CRC Press: Boca Raton, FL, USA, 2020; pp. 406–415. [Google Scholar] [CrossRef]
  151. Banerji, A.; Benesh, K. Incorporating microbial species interaction in management of freshwater toxic cyanobacteria: A systems science challenge. Ecologies 2022, 3, 570–587. [Google Scholar] [CrossRef] [PubMed]
  152. Plummer, S.F.; Garaiova, I.; Sarvotham, T.; Cottrell, S.L.; Le Scouiller, S.; Weaver, M.A.; Tang, J.; Dee, P.; Hunter, J. Effects of probiotics on the composition of the intestinal microbiota following antibiotic therapy. Int. J. Antimicrob. Agents 2005, 26, 69–74. [Google Scholar] [CrossRef] [PubMed]
  153. Berthold, M.; Campbell, D.A. Restoration, conservation and phytoplankton hysteresis. Conserv. Physiol. 2021, 9, coab062. [Google Scholar] [CrossRef] [PubMed]
  154. More, T.T.; Yadav, J.S.S.; Yan, S.; Tyagi, R.D.; Surampalli, R.Y. Extracellular polymeric substances of bacteria and their potential environmental applications. J. Environ. Manag. 2014, 144, 1–25. [Google Scholar] [CrossRef]
  155. Donlan, R.M. Role of biofilms in antimicrobial resistance. Am. Soc. Artif. Intern. Organs J. 2000, 46, S47–S52. [Google Scholar] [CrossRef]
  156. Yin, W.; Wang, Y.; Liu, L.; He, J. Biofilms: The microbial “protective clothing” in extreme environments. Int. J. Mol. Sci. 2019, 20, 3423. [Google Scholar] [CrossRef]
  157. Romeu, M.J.; Morais, J.; Vasconcelos, V.; Mergulhão, F. Effect of hydrogen peroxide on cyanobacterial biofilms. Antibiotics 2023, 12, 1450. [Google Scholar] [CrossRef]
  158. Abe, K.; Nomura, N.; Suzuki, S. Biofilms: Hot spots of horizontal gene transfer (HGT) in aquatic environments, with a focus on a new HGT mechanism. FEMS Microbiol. Ecol. 2020, 96, fiaa031. [Google Scholar] [CrossRef]
  159. Virolle, C.; Goldlust, K.; Djermoun, S.; Bigot, S.; Lesterlin, C. Plasmid transfer by conjugation in Gram-negative bacteria: From the cellular to the community level. Genes 2020, 11, 1239. [Google Scholar] [CrossRef]
  160. Sun, D. Pull in and push out: Mechanisms of horizontal gene transfer in bacteria. Front. Microbiol. 2018, 9, 2154. [Google Scholar] [CrossRef] [PubMed]
  161. Schneider, C.L. Bacteriophage-mediated horizontal gene transfer: Transduction. In Bacteriophages; Harper, D.R., Abedon, S.T., Burrowes, B.H., McConville, M.L., Eds.; Springer: Cham, Switzerland, 2021. [Google Scholar] [CrossRef]
  162. San Millan, A.; Heilbron, K.; MacLean, R. Positive epistasis between co-infecting plasmids promotes plasmid survival in bacterial populations. ISME J. 2014, 8, 601–612. [Google Scholar] [CrossRef] [PubMed]
  163. Fuchsman, C.A.; Collins, R.E.; Rocap, G.; Brazelton, W.J. Effect of the environment on horizontal gene transfer between bacteria and archaea. PeerJ 2017, 5, e3865. [Google Scholar] [CrossRef] [PubMed]
  164. Baquero, F.; Martínez, J.L.; Lanza, V.F.; Rodríguez-Beltrán, J.; Galán, J.C.; San Millán, A.; Cantón, R.; Coque, T.M. Evolutionary pathways and trajectories in antibiotic resistance. Clin. Microbiol. Rev. 2021, 34, e00050-19. [Google Scholar] [CrossRef]
  165. Madsen, J.S.; Burmølle, M.; Hansen, L.H.; Sørensen, S.J. The interconnection between biofilm formation and horizontal gene transfer. FEMS Immunol. Med. Microbiol. 2012, 65, 183–195. [Google Scholar] [CrossRef]
  166. Wang, M.; Lian, Y.; Wang, Y.; Zhu, L. The role and mechanism of quorum sensing on environmental antimicrobial resistance. Environ. Pollut. 2023, 322, 121238. [Google Scholar] [CrossRef]
  167. Lima, S.; Matinha-Cardoso, J.; Tamagnini, P.; Oliveira, P. Extracellular vesicles: An overlooked secretion system in cyanobacteria. Life 2020, 10, 129. [Google Scholar] [CrossRef]
  168. Johnston, E.L.; Zavan, L.; Bitto, N.J.; Petrovski, S.; Hill, A.F.; Kaparakis-Liaskos, M. Planktonic and biofilm-derived Pseudomonas aeruginosa outer membrane vesicles facilitate horizontal gene transfer of plasmid DNA. Microbiol. Spectr. 2023, 11, e0517922. [Google Scholar] [CrossRef]
  169. Carpine, R.; Sieber, S. Antibacterial and antiviral metabolites from cyanobacteria: Their application and their impact on human health. Curr. Res. Biotechnol. 2021, 3, 65–81. [Google Scholar] [CrossRef]
  170. Kar, J.; Ramrao, D.P.; Zomuansangi, R.; Lalbiaktluangi, C.; Singh, S.M.; Joshi, N.C.; Kumar, A.; Kaushalendra; Mehta, S.; Yadav, M.K.; et al. Revisiting the role of cyanobacteria-derived metabolites as antimicrobial agent: A 21st century perspective. Front. Microbiol. 2022, 13, 1034471. [Google Scholar] [CrossRef]
  171. Saha, P.; Bose, D.; Stebliankin, V.; Cickovski, T.; Seth, R.K.; Porter, D.E.; Brooks, B.W.; Mathee, K.; Narasimhan, G.; Colwell, R.; et al. Prior exposure to microcystin alters host gut resistome and is associated with dysregulated immune homeostasis in translatable mouse models. Sci. Rep. 2022, 12, 11516. [Google Scholar] [CrossRef] [PubMed]
  172. Xin, R.; Zhang, K.; Yu, D.; Zhang, Y.; Ma, Y.; Niu, Z. Cyanobacterial extracellular antibacterial substances could promote the spread of antibiotic resistance: Impacts and reasons. Environ. Sci. Process. Impacts 2023, 25, 2139–2147. [Google Scholar] [CrossRef] [PubMed]
  173. Ji, W.; Ma, J.; Zheng, Z.; Al-Herrawy, A.Z.; Xie, B.; Wu, D. Algae blooms with resistance in fresh water: Potential interplay between Microcystis and antibiotic resistance genes. Sci. Total Environ. 2024, 940, 173528. [Google Scholar] [CrossRef] [PubMed]
  174. Xu, S.; Jiang, Y.; Liu, Y.; Zhang, J. Antibiotic-accelerated cyanobacterial growth and aquatic community succession towards the formation of cyanobacterial bloom in eutrophic lake water. Environ. Pollut. 2021, 290, 118057. [Google Scholar] [CrossRef]
  175. dos Santos Costa, R.; Quadra, G.R.; de Oliveira Souza, H.; do Amaral, V.S.; Navoni, J.A. The link between pharmaceuticals and cyanobacteria: A review regarding ecotoxicological, ecological, and sanitary aspects. Environ. Sci. Pollut. Control Ser. 2021, 28, 41638–41650. [Google Scholar] [CrossRef]
  176. Fernandez, R.; Col’as-Ruiz, N.R.; Bolívar-Anillo, H.J.; Anfuso, G.; Hampel, M. Occurrence and effects of antimicrobials drugs in aquatic ecosystems. Sustainability 2021, 13, 13428. [Google Scholar] [CrossRef]
  177. Le, V.V.; Tran, Q.G.; Ko, S.R.; Lee, S.A.; Oh, H.M.; Kim, H.S.; Ahn, C.Y. How do freshwater microalgae and cyanobacteria respond to antibiotics? Crit. Rev. Biotechnol. 2022, 43, 191–211. [Google Scholar] [CrossRef]
  178. Xu, L.; Zhou, Z.; Zhu, L.; Han, Y.; Lin, Z.; Feng, W.; Liu, Y.; Shuai, X.; Chen, H. Antibiotic resistance genes and microcystins in a drinking water treatment plant. Environ. Pollut. 2020, 258, 113718. [Google Scholar] [CrossRef]
  179. Wells, M.L.; Karlson, B.; Wulff, A.; Kudela, R.; Trick, C.; Asnaghi, V.; Berdalet, E.; Cochlan, W.; Davidson, K.; De Rijcke, M.; et al. Future HAB science: Directions and challenges in a changing climate. Harmful Algae 2020, 91, 101632. [Google Scholar] [CrossRef]
  180. Srivastava, M.; Hudson, E.P.; Wangikar, P.P. Traits of fast-growing cyanobacteria. In Cyanobacteria Biotechnology; Nielsen, J., Lee, S., Stephanopoulos, G., Hudson, P., Eds.; WILEY-VCH: Weinheim, Germany, 2021; pp. 441–476. [Google Scholar] [CrossRef]
  181. Vogwill, T.; MacLean, R.C. The genetic basis of the fitness costs of antimicrobial resistance: A meta-analysis approach. Evol. Appl. 2014, 8, 284–295. [Google Scholar] [CrossRef]
  182. Muir, E.J.; Lajeunesse, M.J.; Kramer, A.M. The magnitude of Allee effects varies across Allee mechanisms, but not taxonomic groups. Oikos 2024, 2024, e10386. [Google Scholar] [CrossRef]
  183. Ali, A.; Jawad, S.; Ali, A.H.; Winter, M. Stability analysis for the phytoplankton-zooplankton model with depletion of dissolved oxygen and strong Allee effects. Results Eng. 2024, 22, 102190. [Google Scholar] [CrossRef]
  184. Besier, S.; Ludwig, A.; Brade, V.; Wichelhaus, T.A. Compensatory adaptation to the loss of biological fitness associated with acquisition of fusidic acid resistance in Staphylococcus aureus. Antimicrob. Agents Chemother. 2005, 49, 1426–1431. [Google Scholar] [CrossRef] [PubMed]
  185. Binet, R.; Maurelli, A.T. Fitness cost due to mutations in the 16S rRNA associated with spectinomycin resistance in Chlamydia psittaci 6BC. Antimicrob. Agents Chemother. 2005, 49, 4455–4460. [Google Scholar] [CrossRef] [PubMed]
  186. Kang, Y.-S.; Park, W. Trade-off between antibiotic resistance and biological fitness in Acinetobacter sp. strain DR1. Environ. Microbiol. 2010, 12, 1304–1318. [Google Scholar] [CrossRef]
  187. Zeitouni, S.; Kempf, I. Fitness cost of fluoroquinolone resistance in Campylobacter coli and Campylobacter jejuni. Microb. Drug Resist. 2011, 17, 171–179. [Google Scholar] [CrossRef]
  188. Roch, M.; Gagetti, P.; Davis, J.; Ceriana, P.; Errecalde, L.; Corso, A.; Rosato, A.E. Daptomycin resistance in clinical MRSA strains is associated with a high biological fitness cost. Front. Microbiol. 2017, 8, 2303. [Google Scholar] [CrossRef]
  189. Li, L.; Dechesne, A.; Stenløkke Madsen, J.; Nesme, J.; Sørensen, S.J.; Smets, B.F. Plasmids persist in a microbial community by providing fitness benefit to multiple phylotypes. ISME J. 2020, 14, 1170–1181. [Google Scholar] [CrossRef]
  190. Jiang, L.; Cai, W.; Tang, F.; Wang, Z.; Liu, Y. Characterization of fitness cost caused by tigecycline-resistance gene tet(X6) in different host bacteria. Antibiotics 2021, 10, 1172. [Google Scholar] [CrossRef]
  191. Sezmis, A.L.; Woods, L.C.; Peleg, A.Y.; McDonald, M.J. Horizontal gene transfer, fitness costs and mobility shape the spread of antibiotic resistance genes into experimental populations of Acinetobacter baylyi. Mol. Biol. Evol. 2023, 40, msad028. [Google Scholar] [CrossRef]
  192. Thingstad, T.F. Competition–defense trade-offs in the microbial world. Proc. Natl. Acad. Sci. USA 2022, 119, e2213092119. [Google Scholar] [CrossRef]
  193. Knight, C.A.; Molinari, N.A.; Petrov, D.A. The large genome constraint hypothesis: Evolution, ecology and phenotype. Ann. Bot. 2005, 95, 177–190. [Google Scholar] [CrossRef] [PubMed]
  194. Murren, C.J.; Auld, J.R.; Callahan, H.; Ghalambor, C.K.; Handelsman, C.A.; Heskel, M.A.; Kingsolver, J.G.; Maclean, H.J.; Masel, J.; Maughan, H.; et al. Constraints on the evolution of phenotypic plasticity: Limits and costs of phenotype and plasticity. Heredity 2015, 115, 293–301. [Google Scholar] [CrossRef] [PubMed]
  195. Koch, R.; Kupczok, A.; Stucken, K.; Ilhan, J.; Hammerschmidt, K.; Dagan, T. Plasticity first: Molecular signatures of a complex morphological trait in filamentous cyanobacteria. BMC Evol. Biol. 2017, 17, 209. [Google Scholar] [CrossRef] [PubMed]
  196. Clark, C.D.; Moles, A.T.; Fazlioglu, F.; Brandenburger, C.R.; Hartley, S. Rapid loss of phenotypic plasticity in the introduced range of the beach daisy, Arctotheca populifolia. J. Ecol. 2023, 112, 28–40. [Google Scholar] [CrossRef]
  197. Ahmad, M.; Prensky, H.; Balestrieri, J.; ElNaggar, S.; Gomez-Simmonds, A.; Uhlemann, A.-C.; Traxler, B.; Singh, A.; Lopatkin, A.J. Tradeoff between lag time and growth rate drives the plasmid acquisition cost. Nat. Commun. 2023, 14, 2343. [Google Scholar] [CrossRef]
  198. Flynn, K.J. Going for the slow burn: Why should possession of a low maximum growth rate be advantageous for microalgae? Plant Ecol. Divers. 2009, 2, 179–189. [Google Scholar] [CrossRef]
  199. Colesie, C.; Stangl, Z.R.; Hurry, V. Differences in growth-economics of fast vs. slow growing grass species in response to temperature and nitrogen limitation individually, and in combination. BMC Ecol. 2020, 20, 63. [Google Scholar] [CrossRef]
  200. Zhu, M.; Dai, X. Shaping of microbial phenotypes by trade-offs. Nat. Commun. 2024, 15, 4238. [Google Scholar] [CrossRef]
  201. Häggström, H.; Larsson, S. Slow larval growth on a suboptimal willow results in high predation mortality in the leaf beetle Galerucella lineola. Oecologia 1995, 104, 308–315. [Google Scholar] [CrossRef]
  202. Van Velzen, E.; Gaedke, U. Back to the drawing board: Re-thinking growth–defense tradeoffs. Oikos 2023, 2023, e09918. [Google Scholar] [CrossRef]
  203. Sengupta, A.; Kruppa, T.; Löwen, H. Chemotactic predator-prey dynamics. Phys. Rev. E 2011, 83, 031914. [Google Scholar] [CrossRef] [PubMed]
  204. Ping, D.; Wang, T.; Fraebel, D.T.; Maslov, S.; Sneppen, K.; Kuehn, S. Hitchhiking, collapse, and contingency in phage infections of migrating bacterial populations. ISME J. 2020, 14, 2007–2018. [Google Scholar] [CrossRef] [PubMed]
  205. Cassier-Chauvat, C.; Chauvat, F. Responses to oxidative and heavy metal stresses in cyanobacteria: Recent advances. Int. J. Mol. Sci. 2015, 16, 871–886. [Google Scholar] [CrossRef] [PubMed]
  206. Vogel, A.I.M.; Lale, R.; Hohmann-Marriott, M.F. Streamlining recombination-mediated genetic engineering by validating three neutral integration sites in Synechococcus sp. PCC 7002. J. Biol. Eng. 2017, 11, 19. [Google Scholar] [CrossRef]
  207. Ramos, D.F.; Matthiensen, A.; Colvara, W.; de Votto, A.P.S.; Trindade, G.S.; da Silva, P.E.A.; Yunes, J.S. Antimycobacterial and cytotoxicity activity of microcystins. J. Venom Anim. Toxins Incl. Trop. Dis. 2015, 21, 9. [Google Scholar] [CrossRef]
  208. Díez-Quijada, L.; Prieto, A.I.; Guzmán-Guillén, R.; Jos, A.; Cameán, A.M. Occurrence and toxicity of microcystin congeners other than MC-LR and MC-RR: A review. Food Chem. Toxicol. 2019, 125, 106–132. [Google Scholar] [CrossRef]
  209. Cock, I.E.; Cheesman, M.J. A review of the antimicrobial properties of cyanobacterial natural products. Molecules 2023, 28, 7127. [Google Scholar] [CrossRef]
  210. Demain, A.L. Antibiotics: Natural products essential to human health. Med. Res. Rev. 2009, 29, 821–842. [Google Scholar] [CrossRef]
  211. Gross, E.M. Allelopathy of Aquatic Autotrophs. Crit. Rev. Plant Sci. 2010, 22, 313–339. [Google Scholar] [CrossRef]
  212. Ogawara, H. Comparison of antibiotic resistance mechanisms in antibiotic-producing and pathogenic bacteria. Molecules 2019, 24, 3430. [Google Scholar] [CrossRef] [PubMed]
  213. Wu, S.; Ji, X.; Li, X.; Ye, J.; Xu, W.; Wang, R.; Hou, M. Mutual impacts and interactions of antibiotic resistance genes, microcystin synthetase genes, graphene oxide, and Microcystis aeruginosa in synthetic wastewater. Environ. Sci. Pollut. Res. 2022, 29, 3994–4007. [Google Scholar] [CrossRef]
  214. Dias, E.; Oliveira, M.; Manageiro, V.; Vasconcelos, V.; Canica, M. Deciphering the role of cyanobacteria in water resistome: Hypothesis justifying the antibiotic resistance (phenotype and genotype) in Planktothrix genus. STOTEN 2019, 652, 447–454. [Google Scholar] [CrossRef] [PubMed]
  215. Rzymski, P.; Poniedziałek, B.; Kokociński, M.; Jurczak, T.; Lipski, D.; Wiktorowicz, K. Interspecific allelopathy in cyanobacteria: Cylindrospermopsin and Cylindrospermopsis raciborskii effect on the growth and metabolism of Microcystis aeruginosa. Harmful Algae 2014, 35, 1–8. [Google Scholar] [CrossRef]
  216. Pound, H.L.; Martin, R.M.; Sheik, C.S.; Steffen, M.M.; Newell, S.E.; Dick, G.J.; McKay, R.M.L.; Bullerjahn, G.S.; Wilhelm, S.W. Environmental studies of cyanobacterial harmful algal blooms should include interactions with the dynamic microbiome. Environ. Sci. Technol. 2021, 55, 12776–12779. [Google Scholar] [CrossRef]
  217. Zhang, Y.; Zheng, L.; Wang, S.; Zhao, Y.; Xu, X.; Han, B.; Hu, T. Quorum sensing bacteria in the phycosphere of HAB microalgae and their ecological functions related to cross-kingdom interactions. Int. J. Environ. Res. Public Health 2022, 19, 163. [Google Scholar] [CrossRef]
  218. Garg, R.; Maldener, I. The formation of spore-like akinetes: A survival strategy of filamentous cyanobacteria. Microb. Physiol. 2021, 31, 296–305. [Google Scholar] [CrossRef]
  219. Flores, E.; Herrero, A. Compartmentalized function through cell differentiation in filamentous cyanobacteria. Nat. Rev. Microbiol. 2010, 8, 39–50. [Google Scholar] [CrossRef]
  220. Tan, L.-R.; Xia, P.-F.; Zeng, R.J.; Li, Q.; Sun, X.-F.; Wang, S.-G. Low-level concentrations of aminoglycoside antibiotics induce the aggregation of cyanobacteria. Environ. Sci. Pollut. 2018, 25, 17128–17136. [Google Scholar] [CrossRef]
  221. Koksharova, O.A. Cyanobacterial VOCs as allelopathic tools. In Bacterial Volatile Compounds as Mediators of Airborne Interactions; Ryu, C.M., Weisskopf, L., Piechulla, B., Eds.; Springer: Singapore, 2020. [Google Scholar] [CrossRef]
  222. Yema, L.; O’farrell, I.; de Tezanos Pinto, P. The sediment akinete bank links past and future blooms of Nostocales in a shallow lake. J. Plankton Res. 2020, 42, 668–679. [Google Scholar] [CrossRef]
  223. Ho, H.-I.; Park, C.-H.; Yoo, K.-E.; Kim, N.-Y.; Hwang, S.-J. Survival and development strategies of cyanobacteria through akinete formation and germination in the life cycle. Water 2024, 16, 770. [Google Scholar] [CrossRef]
  224. Liu, M.; Wu, T.; Zhao, X.; Zan, F.; Yang, G.; Miao, Y. Cyanobacteria blooms potentially enhance volatile organic compound (VOC) emissions from a eutrophic lake: Field and experimental evidence. Environ. Res. 2021, 202, 111664. [Google Scholar] [CrossRef] [PubMed]
  225. Collart, L.; Jiang, D.; Halsey, K.H. The volatilome reveals microcystin concentration, microbial composition, and oxidative stress in a critical Oregon freshwater lake. mSystems 2023, 8, e00379-23. [Google Scholar] [CrossRef] [PubMed]
  226. Jüttner, F.; Watson, S.B.; von Elert, E.; Köster, O. β-cyclocitral, a grazer defence signal unique to the cyanobacterium Microcystis. J. Chem. Ecol. 2010, 36, 1387–1397. [Google Scholar] [CrossRef]
  227. Achyuthan, K.E.; Harper, J.C.; Manginell, R.P.; Moorman, M.W. Volatile metabolites emission by in vivo microalgae—An overlooked opportunity? Metabolites 2017, 7, 39. [Google Scholar] [CrossRef]
  228. Yang, Y.; Yin, C.; Li, W.; Xu, X. α-Tocopherol is essential for acquired chill-light tolerance in the cyanobacterium Synechocystis sp. Strain PCC 6803. J. Bacteriol. 2008, 190, 1554–1560. [Google Scholar] [CrossRef]
  229. Berry, D.L.; Goleski, J.A.; Koch, F.; Wall, C.C.; Peterson, B.J.; Anderson, O.R.; Gobler, C.J. Shifts in cyanobacterial strain dominance during the onset of harmful algal blooms in Florida Bay, USA. Microb. Ecol. 2015, 70, 361–371. [Google Scholar] [CrossRef]
  230. Andrade, J.C.; Morais-Braga, M.F.B.; Guedes, G.M.M.; Tintino, S.R.; Freitas, M.A.; Menezes, I.R.A.; Coutinho, H.D.M. Enhancement of the antibiotic activity of aminoglycosides by alpha-tocopherol and other cholesterol derivates. Biomed. Pharmacother. 2014, 68, 1065–1069. [Google Scholar] [CrossRef]
  231. Drabińska, N.; de Lacy Costello, B.; Hewett, K.; Smart, A.; Ratcliffe, N. From fast identification to resistance testing: Volatile compound profiling as a novel diagnostic tool for detection of antibiotic susceptibility. TrAC Trends Anal. Chem. 2019, 115, 1–12. [Google Scholar] [CrossRef]
  232. Dailey, A.; Saha, J.; Zaidi, F.; Abdirahman, H.; Haymond, A.; Alem, F.; Hakami, R.; Couch, R. VOC fingerprints: Metabolomic signatures of biothreat agents with and without antibiotic resistance. Sci. Rep. 2020, 10, 11746. [Google Scholar] [CrossRef]
  233. Hewett, K.; Drabińska, N.; White, P.; Avison, M.B.; Persad, R.; Ratcliffe, N.; de Lacy Costello, B. Towards the identification of antibiotic-resistant bacteria causing urinary tract infections using volatile organic compounds analysis—A pilot study. Antibiotics 2020, 9, 797. [Google Scholar] [CrossRef] [PubMed]
  234. Walsh, M.R. The evolutionary consequences of indirect effects. Trends Ecol. Evol. 2013, 28, 23–29. [Google Scholar] [CrossRef] [PubMed]
  235. Wood, Z.T.; Fryxell, D.C.; Moffett, E.R.; Kinnison, M.T.; Simon, K.S.; Palkovacs, E.P. Prey adaptation along a competition-defense tradeoff cryptically shifts trophic cascades from density- to trait-mediated. Oecologia 2020, 192, 767–778. [Google Scholar] [CrossRef] [PubMed]
  236. Carpenter, S.R.; Kitchell, J.F.; Hodgson, J.R. Cascading trophic interactions and lake productivity. BioScience 1985, 35, 634–639. [Google Scholar] [CrossRef]
  237. Berthold, M.; Schumann, R.; Reiff, V.; Wulff, R.; Schubert, H. Mesopredator-mediated trophic cascade can break persistent phytoplankton blooms in coastal waters. Oikos 2023, 2023, e09469. [Google Scholar] [CrossRef]
  238. Breinlinger, S.; Phillips, T.J.; Haram, B.N.; Mareš, J.; Yerena, J.A.M.; Hrouzek, P.; Sobotka, R.; Henderson, W.M.; Schmieder, P.; Williams, S.M.; et al. Hunting the eagle killer: A cyanobacterial neurotoxin causes vacuolar myelinopathy. Science 2021, 371, 6536. [Google Scholar] [CrossRef]
  239. Zhang, W.; Gu, P.; Zhu, W.; Jing, C.; He, J.; Yang, X.; Zhou, L.; Zheng, Z. Effects of cyanobacterial accumulation and decomposition on the microenvironment in water and sediment. J. Soils Sediments 2020, 20, 2510–2525. [Google Scholar] [CrossRef]
  240. Gerphagnon, M.; Macarthur, D.J.; Latour, D.; Gachon, C.M.M.; Van Ogtrop, F.; Gleason, F.H.; Sime-Ngando, T. Microbial players involved in the decline of filamentous and colonial cyanobacterial blooms with a focus on fungal parasitism. Environ. Microbiol. 2015, 17, 2573–2587. [Google Scholar] [CrossRef]
  241. Agha, R.; Saebelfeld, M.; Manthey, C.; Rohrlack, T.; Wolinska, J. Chytrid parasitism facilitates trophic transfer between bloom-forming cyanobacteria and zooplankton (Daphnia). Sci. Rep. 2016, 6, 35039. [Google Scholar] [CrossRef]
  242. Frenken, T.; Wierenga, J.; van Donk, E.; Declerck, S.A.J.; de Senerpont Domis, L.N.; Rohrlack, T.; Van de Waal, D.B. Fungal parasites of a toxic inedible cyanobacterium provide food to zooplankton. Limnol. Oceanogr. 2018, 63, 2384–2393. [Google Scholar] [CrossRef]
  243. Ortiz-Cañavate, B.K.; Wolinska, J.; Agha, R. Fungicides at environmentally relevant concentrations can promote the proliferation of toxic bloom-forming cyanobacteria by inhibiting natural fungal parasite epidemics. Chemosphere 2019, 229, 18–21. [Google Scholar] [CrossRef]
  244. Sánchez, K.F.; Huntley, N.; Duffy, M.A.; Hunter, M.D. Toxins or medicines? Phytoplankton diets mediate host and parasite fitness in a freshwater system. Proc. R. Soc. B 2019, 286, 20182231. [Google Scholar] [CrossRef] [PubMed]
  245. Lorusso, N.S.; Faillace, C.A. Indirect facilitation between prey promotes asymmetric apparent competition. J. Anim. Ecol. 2022, 91, 1869–1879. [Google Scholar] [CrossRef] [PubMed]
  246. Drummond, R.A.; Desai, J.V.; Ricotta, E.E.; Swamydas, M.; Deming, C.; Conlan, S.; Quinones, M.; Matei-Rascu, V.; Sherif, L.; Lecky, D.; et al. Long-term antibiotic exposure promotes mortality after systemic fungal infection by driving lymphocyte dysfunction and systemic escape of commensal bacteria. Cell Host Microbe 2022, 30, 1020–1033.e6. [Google Scholar] [CrossRef] [PubMed]
  247. Caneschi, A.; Bardhi, A.; Barbarossa, A.; Zaghini, A. The use of antibiotics and antimicrobial resistance in veterinary medicine, a complex phenomenon: A narrative review. Antibiotics 2023, 12, 487. [Google Scholar] [CrossRef]
  248. Shepherd, M.J.; Fu, T.; Harrington, N.E.; Kottara, A.; Cagney, K.; Chalmers, J.D.; Paterson, S.; Fothergill, J.L.; Brockhurst, M.A. Ecological and evolutionary mechanisms driving within-patient emergence of antimicrobial resistance. Nat. Rev. Microbiol. 2024; in press. [Google Scholar] [CrossRef]
  249. Thornber, K.; Pitchforth, E. Communicating antimicrobial resistance: The need to go beyond human health. JAC Antimicrob. Resist. 2021, 3, dlab096. [Google Scholar] [CrossRef]
  250. Kamanmalek, S.; Alamdari, N. Advancing equitable stormwater management: A decision support tool integrating best practices for nutrient removal and environmental justice. Ecol. Inform. 2024, 80, 102496. [Google Scholar] [CrossRef]
  251. Gillings, M.R. DNA as a Pollutant: The Clinical Class 1 Integron. Curr. Pollut. Rep. 2018, 4, 49–55. [Google Scholar] [CrossRef]
  252. Tang, Y.; Song, L.; Ji, X.; Huang, S.; Yu, Y.; Ye, J.; Xu, W.; Hou, M. Algal-bacterial consortium mediated system offers effective removal of nitrogen nutrients and antibiotic resistance genes. Bioresour. Technol. 2022, 362, 127874. [Google Scholar] [CrossRef]
  253. Matsuda, H.; Watanabe, A. A comparative study of population management approaches in infectious disease control, population management of fisheries and wildlife, and integrated pest management in agriculture. Popul. Ecol. 2024, 66, 171–183. [Google Scholar] [CrossRef]
  254. Takeuchi, M.; Fujiwara-Nagata, E.; Katayama, T.; Suetake, H. Skin bacteria of rainbow trout antagonistic to the fish pathogen Flavobacterium psychrophilum. Sci. Rep. 2021, 11, 7518. [Google Scholar] [CrossRef] [PubMed]
  255. Huang, Y.; Chen, Y.; Zhang, L.-H. The roles of microbial cell-cell chemical communication systems in the modulation of antimicrobial resistance. Antibiotics 2020, 9, 779. [Google Scholar] [CrossRef] [PubMed]
  256. Mohammed, V.; Arockiaraj, J. Unveiling the trifecta of cyanobacterial quorum sensing: LuxI, LuxR and LuxS as the intricate machinery for harmful algal bloom formation in freshwater ecosystems. Sci. Total Environ. 2024, 924, 171644. [Google Scholar] [CrossRef] [PubMed]
  257. Calomeni-Eck, A.J.; McQueen, A.D.; Kinley-Baird, C.M.; Clyde, T., Jr. Identification of cyanobacteria overwintering cells and environmental conditions causing growth: Application for preventative management. Ecol. Solut. Evid. 2024, 5, e12326. [Google Scholar] [CrossRef]
  258. Au, A.; Lee, H.; Ye, T.; Dave, U.; Rahman, A. Bacteriophages: Combating antimicrobial resistance in food-borne bacteria prevalent in agriculture. Microorganisms 2022, 10, 46. [Google Scholar] [CrossRef]
  259. Bhatt, P.; Engel, B.A.; Reuhs, M.; Simsek, H. Cyanophage technology in removal of cyanobacteria mediated harmful algal blooms: A novel and eco-friendly method. Chemosphere 2023, 315, 137769. [Google Scholar] [CrossRef]
  260. Howarth, F.G. Non-target effects of biological control agents. In Biological Control: Measures of Success; Gurr, G., Wratten, S., Eds.; Springer: Dordrecht, The Netherlands, 2000. [Google Scholar] [CrossRef]
  261. Fortuna, K.J.; Szoboszlay, M.; Holtappels, D.; Lavigne, R.; Tebbe, C.C.; Wagemans, J. Assessing the environmental biosafety of phage-based biocontrol applications. Biol. Control 2023, 187, 105375. [Google Scholar] [CrossRef]
  262. Kysela, D.T.; Turner, P.E. Optimal bacteriophage mutation rates for phage therapy. J. Theor. Biol. 2007, 249, 411–421. [Google Scholar] [CrossRef]
  263. Gundersen, M.S.; Fiedler, A.W.; Bakke, I.; Vadstein, O. The impact of phage treatment on bacterial community structure is minor compared to antibiotics. Sci. Rep. 2023, 13, 21032. [Google Scholar] [CrossRef]
  264. Lekunberri, I.; Subirats, J.; Borrego, C.M.; Balcázar, J.L. Exploring the contribution of bacteriophages to antibiotic resistance. Environ. Pollut. 2017, 220, 981–984. [Google Scholar] [CrossRef]
  265. Alseth, E.O.; Custodio, R.; Sundius, S.A.; Kuske, R.A.; Brown, S.P.; Westra, E.R. The impact of phage and phage resistance on microbial community dynamics. PLoS Biol. 2024, 22, e3002346. [Google Scholar] [CrossRef] [PubMed]
  266. Reyneke, B.; Havenga, B.; Waso-Reyneke, M.; Khan, S.; Khan, W. Benefits and challenges of applying bacteriophage biocontrol in the consumer water cycle. Microorganisms 2024, 12, 1163. [Google Scholar] [CrossRef] [PubMed]
  267. Lewis, J.M.; Williams, J.; Sagona, A.P. Making the leap from technique to treatment—genetic engineering is paving the way for more efficient phage therapy. Biochem. Soc. Trans. 2024, 52, 1373–1384. [Google Scholar] [CrossRef] [PubMed]
  268. Shapiro, O.H.; Kushmaro, A.; Brenner, A. Bacteriophage predation regulates microbial abundance and diversity in a full-scale bioreactor treating industrial wastewater. ISME J. 2009, 4, 327–336. [Google Scholar] [CrossRef] [PubMed]
  269. Bhattacharjee, A.S.; Choi, J.; Motlagh, A.M.; Mukherji, S.T.; Goel, R. Bacteriophage therapy for membrane biofouling in membrane bioreactors and antibiotic-resistant bacterial biofilms. Biotechnol. Bioeng. 2015, 112, 1644–1654. [Google Scholar] [CrossRef]
  270. Brown, J.; Summers, R.S.; LeChevallier, M.; Collins, H.; Roberson, J.A.; Hubbs, S.; Dickenson, E. Biological Drinking Water Treatment? Naturally. J. AWWA 2015, 107, 20–30. [Google Scholar] [CrossRef]
  271. Michael, C.A.; Dominey-Howes, D.; Labbate, M. The antimicrobial resistance crisis: Causes, consequences, and management. Front. Public Health 2014, 2, 145. [Google Scholar] [CrossRef]
  272. Umber, J.K.; Bender, J.B. Pets and antimicrobial resistance. Vet. Clin. N. Am. Small Anim. Pract. 2009, 39, 279–292. [Google Scholar] [CrossRef]
  273. Vidovic, N.; Vidovic, S. Antimicrobial resistance and food animals: Influence of livestock environment on the emergence and dissemination of antimicrobial resistance. Antibiotics 2020, 9, 52. [Google Scholar] [CrossRef]
  274. Brunn, A.; Kadri-Alabi, Z.; Moodley, A.; Guardabassi, L.; Taylor, P.; Mateus, A.; Waage, J. Characteristics and global occurrence of human pathogens harboring antimicrobial resistance in food crops: A scoping review. Front. Sustain. Food Syst. 2022, 6, e824714. [Google Scholar] [CrossRef]
  275. Liu, C.-L.; Place, A.R.; Jagus, R. Use of antibiotics for maintenance of axenic cultures of Amphidinium carterae for the analysis of translation. Mar. Drugs 2017, 15, 242. [Google Scholar] [CrossRef] [PubMed]
  276. Seo, S.-O.; Park, S.-K.; Jung, S.-C.; Ryu, C.-M.; Kim, J.-S. Anti-contamination strategies for yeast fermentations. Microorganisms 2020, 8, 274. [Google Scholar] [CrossRef] [PubMed]
  277. Dextro, R.B.; Andreote, A.P.D.; Vaz, M.G.M.V.; Carvalho, C.R.; Fiore, M.F. The pros and cons of axenic cultures in cyanobacterial research. Algal Res. 2024, 78, 103415. [Google Scholar] [CrossRef]
  278. Young, C.S.; Lee, C.-S.; Sylvers, L.H.; Venkatesan, A.K.; Gobler, C.J. The invasive red seaweed, Dasysiphonia japonica, forms harmful algal blooms: Mortality in early life stage fish and bivalves and identification of putative toxins. Harmful Algae 2022, 118, 102294. [Google Scholar] [CrossRef]
  279. Prego, R.; Carballeira, R.; Pazos, Y.; Bao, R. Oceanographical context of the first bloom of the silicoflagellate Octactis speculum (Ehrenberg) recorded to cause salmon mortality in a Galician ria: Was this bloom a rare event in the Iberian Coast? Toxins 2023, 15, 435. [Google Scholar] [CrossRef]
  280. Lefebvre, K.A.; Tasker, R.A. Chapter 34—Domoic acid: Experimental and clinical neurotoxicity in vivo. In Natural Molecules in Neuroprotection and Neurotoxicity; de Oliveira, M.R., Ed.; Elsevier Academic Press: Cambridge, MA, USA, 2024; pp. 779–797. [Google Scholar] [CrossRef]
  281. Telesh, I.; Schubert, H.; Skarlato, S. Wide ecological niches ensure frequent harmful dinoflagellate blooms. Heliyon 2024, 10, e26495. [Google Scholar] [CrossRef]
  282. Mora, D.; Schlüsener, M.; Fischer, H.; Kleinteich, J.; Schulz, M.; Ternes, T.; Thiel, J.; Wick, A.; Krenek, S. From genes to toxins: Profiling Prymnesium parvum during a riverine harmful algal bloom. Harmful Algae 2024, 136, 102644. [Google Scholar] [CrossRef]
  283. Sultana, S.; Khan, S.; Shaika, N.A.; Hena, S.M.; Mahmud, Y.; Haque, M.M. Ecology of freshwater harmful euglenophytes: A review. Heliyon 2024, 10, E29625. [Google Scholar] [CrossRef]
  284. Fisher, M.C.; Pasmans, F.; Martel, A. Virulence and pathogenicity of chytrid fungi causing amphibian extinctions. Annu. Rev. Microbiol. 2021, 75, 673–693. [Google Scholar] [CrossRef]
  285. Meurling, S.; Siljestam, M.; Cortazar-Chinarro, M.; Åhlen, D.; Rödin-Mörch, P.; Ågren, E.; Höglund, J.; Laurila, A. Body size mediates latitudinal population differences in the response to chytrid fungus infection in two amphibians. Oecologia 2024, 204, 71–81. [Google Scholar] [CrossRef]
  286. Novacovsky, G.N.; Palacios, M.G.; Sueiro, M.C. Epitheliocystis in wild marine fishes and its relation with anthropogenic pollution. J. Fish Biol. 2021, 99, 1519–1523. [Google Scholar] [CrossRef] [PubMed]
  287. Nadeem, A.; Malik, I.A.; Afridi, E.K.; Shariq, F. Naegleria fowleri outbreak in Pakistan: Unveiling the crisis and path to recovery. Front. Public Health 2023, 11, 1266400. [Google Scholar] [CrossRef] [PubMed]
  288. Hall, A.D.; Kumar, J.E.; Golba, C.E.; Luckett, K.M.; Bryant, W.K. Primary amebic meningoencephalitis: A review of Naegleria fowleri and analysis of successfully treated cases. Parasitol. Res. 2024, 123, 84. [Google Scholar] [CrossRef] [PubMed]
  289. Iqbal, A.; Owais, R.; Sheikh, A.; Nashwan, A.J. The Naegleria fowleri outbreak in Pakistan: An emerging threat due to climate change. Int. J. Surg. Glob. Health 2024, 7, e0390. [Google Scholar] [CrossRef]
  290. Litchman, E. Invisible invaders: Non-pathogenic invasive microbes in aquatic and terrestrial ecosystems. Ecol. Lett. 2010, 13, 1560–1572. [Google Scholar] [CrossRef]
  291. Lietman, P.S. What is an antibiotic? J. Pediatr. 1986, 108, 824–829. [Google Scholar] [CrossRef]
  292. Wakefield-Rann, R. The ecology makes the poison: Toxicant exposure, antimicrobial logic and the biology of history. In Life Indoors; Palgrave Macmillan: Singapore, 2021. [Google Scholar] [CrossRef]
  293. Currie, W.S. Units of nature or processes across scales? The ecosystem concept at age 75. New Phytol. 2011, 190, 21–34. [Google Scholar] [CrossRef]
  294. Gignoux, J.; Davies, I.D.; Flint, S.R.; Zucker, J.-D. The ecosystem in practice: Interest and problems of an old definition for constructing ecological models. Ecosystems 2011, 14, 1039–1054. [Google Scholar] [CrossRef]
  295. Lu, Y.; Wang, R.; Zhang, Y.; Su, H.; Wang, P.; Jenkins, A.; Ferrier, R.C.; Bailey, M.; Squire, G. Ecosystem health towards sustainability. Ecosyst. Health Sustain. 2017, 1, 11878976. [Google Scholar] [CrossRef]
  296. Roche, P.K.; Campagne, C.S. From ecosystem integrity to ecosystem condition: A continuity of concepts supporting different aspects of ecosystem sustainability. Curr. Opin. Environ. Sustain. 2017, 29, 63–68. [Google Scholar] [CrossRef]
  297. Yi, C.; Jackson, N. A review of measuring ecosystem resilience to disturbance. Environ. Res. Lett. 2021, 16, 053008. [Google Scholar] [CrossRef]
  298. Schleyer, C.; Lux, A.; Mehring, M.; Görg, C. Ecosystem services as a boundary concept: Arguments from social ecology. Sustainability 2017, 9, 1107. [Google Scholar] [CrossRef]
  299. Felipe-Lucia, M.R.; Guerrero, A.M.; Alexander, S.M.; Ashander, J.; Baggio, J.A.; Barnes, M.L.; Bodin, Ö.; Bonn, A.; Fortin, M.-J.; Friedman, R.S.; et al. Conceptualizing ecosystem services using social–ecological networks. Trends Ecol. Evol. 2022, 37, P211–P222. [Google Scholar] [CrossRef]
  300. Centers for Disease Control and Prevention (CDC). Introduction to Public Health. In Public Health 101 Series; U.S. Department of Health and Human Services, CDC: Atlanta, GA, USA, 2014. Available online: https://www.cdc.gov/publichealth101/epidemiology.html (accessed on 29 June 2024).
  301. Frérot, M.; Lefebvre, A.; Aho, S.; Callier, P.; Astruc, K.; Glélé, L.S.A. What is epidemiology? Changing definitions of epidemiology 1978–2017. PLoS ONE 2018, 13, e0208442. [Google Scholar] [CrossRef]
  302. Medina, C.Y.; Kadonsky, K.F.; Roman, F.A., Jr.; Tariqi, A.Q.; Sinclair, R.G.; D’Aoust, P.M.; Delatolla, R.; Bischel, H.N.; Naughton, C.C. The need of an environmental justice approach for wastewater based epidemiology for rural and disadvantaged communities: A review in California. Curr. Opin. Environ. Sci. Health 2022, 27, 100348. [Google Scholar] [CrossRef] [PubMed]
  303. Magnet, A.; Izquierdo, F. Epidemiology of wildlife infectious diseases. Vet Sci. 2023, 10, 332. [Google Scholar] [CrossRef] [PubMed]
  304. Cortés, E. Perspectives on the intrinsic rate of population growth. Methods Ecol. Evol. 2016, 7, 1136–1145. [Google Scholar] [CrossRef]
  305. Figueiredo, J.; Narciso, L.; Turingan, R.; Lin, J. Efficiency of using emerald crabs Mithraculus sculptus to control bubble alga Ventricaria ventricosa (syn. Valonia ventricosa) in aquaria habitats. J. Mar. Biol. Assoc. UK 2008, 88, 95–101. [Google Scholar] [CrossRef]
  306. Chanda, P.; Joshi, S.R. Understanding the Small World: The Microbes. In Industrial Microbiology and Biotechnology; Verma, P., Ed.; Springer: Singapore, 2022. [Google Scholar] [CrossRef]
  307. Paichitrojjana, A. Demodex: The worst enemies are the ones that used to be friends. Dermatol. Rep. 2022, 14, 9339. [Google Scholar] [CrossRef]
  308. Ningthoujam, D.S. Discovery of giant bacteria: Do we need to change the definition of microorganisms? J. Bacteriol. Mycol. 2024, 12, 10–11. [Google Scholar] [CrossRef]
  309. Dion, M.B.; Oechslin, F.; Moineau, S. Phage diversity, genomics and phylogeny. Nat. Rev. Microbiol. 2020, 18, 125–138. [Google Scholar] [CrossRef] [PubMed]
  310. Roux, S.; Fischer, M.G.; Hackl, T.; Katz, L.A.; Schulz, F.; Yutin, N. Updated virophage taxonomy and distinction from polinton-like viruses. Biomolecules 2023, 13, 204. [Google Scholar] [CrossRef] [PubMed]
  311. Potapov, S.A.; Tikhonova, I.V.; Krechetova, E.L.; Belykh, O.I. T4-like cyanophages of Lake Baikal: Genetic diversity and biogeography. Microbiology 2024, 93, 214–217. [Google Scholar] [CrossRef]
  312. Miller, M.B.; Bassler, B.L. Quorum sensing in bacteria. Annu. Rev. Microbiol. 2001, 55, 165–199. [Google Scholar] [CrossRef]
Figure 2. Watershed-level depiction of how AMR and HABs overlap and interrelate in terms of where they occur, what anthropogenic inputs promote them, the kinds of feedbacks they are involved in, and the sorts of exposure risks they can create.
Figure 2. Watershed-level depiction of how AMR and HABs overlap and interrelate in terms of where they occur, what anthropogenic inputs promote them, the kinds of feedbacks they are involved in, and the sorts of exposure risks they can create.
Microorganisms 12 02121 g002
Table 1. Side-by-side comparison of approaches to tracking, preventing, and mitigating AMR and HABs.
Table 1. Side-by-side comparison of approaches to tracking, preventing, and mitigating AMR and HABs.
AMRHABs
•Using cell culture, molecular assays [120], and advanced spectroscopy [66] to track ARGs and AMR determinants across clinical, agricultural, retail, and environmental [111,112,113] settings [121,122]. •Using microscopy, molecular assays, and remote sensing to track HAB-forming cyanobacteria and cyanobacterial toxin synthesis genes in the environment [98,123,124].
•Quantifying socioeconomic impacts of AMR via surveys and public record analysis [125].•Quantifying socioeconomic impacts of HABs via surveys and public record analysis [126].
•Promoting wastewater and stormwater treatment methods that limit fecal indicator species and antimicrobials in effluent [20,127].•Promoting wastewater and stormwater treatment methods that limit nutrients and HAB-favoring pesticides in effluent [118,128].
•Supporting best management practices for administering antimicrobials [20,129,130,131].•Supporting best management practices for applying potentially HAB-fueling nutrient fertilizers [128].
•Maintaining wastewater, stormwater, and sewage treatment infrastructures, as well as expanding green infrastructures, to intercept and contain microbial/antimicrobial pollution [118,119].•Maintaining wastewater, stormwater, and sewage treatment infrastructures, as well as expanding green infrastructures, to intercept and contain nutrient pollution [118,128].
•Socially implementing best hygiene practices to disrupt disease transmission [132] and improving compliance in hospitals [133].•Socially implementing cleaning protocols to disrupt the transport of HAB-forming cyanobacteria by boat hulls, ballasts, gear, and boots [134,135].
•Developing vaccines, prophylactics, and alternative control strategies in place of antimicrobials [136,137,138].•Developing alternative control strategies in place of algaecides [111,139,140].
•Developing means to physically or biochemically degrade antimicrobial pollution [141,142].•Applying substances like modified clay to flocculate dispersed HAB-forming cyanobacteria [143] and altering reservoir hydrodynamics to physically flush out HABs or disrupt cyanobacterial dominance [144].
•Developing or bioprospecting novel antimicrobials [145].•Developing or bioprospecting novel algaecides [146] or applying existing algaecides in novel ways [147]. This may include using antibiotics to kill or inhibit cyanobacteria without causing harm to eukaryotic phytoplankton and zooplankton [117].
•Maintaining and upgrading non-pharmaceutical methods such as UV-irradiation, ozonation, and chlorination to disinfect/degrade microbes in drinking water and wastewater [148].•Maintaining and upgrading methods such as UV-irradiation and granulated/particulate-activated carbon to neutralize/remove cyanobacterial cells and toxins in drinking water and wastewater [128].
•Applying quorum-silencing/quenching agents to disrupt pathogenic virulence [149] and AMR [150].•Applying quorum-silencing/quenching agents to disrupt HABs [151].
•Administering probiotic supplements following antibiotic treatments in clinical patients to restore gut microbiome biodiversity [152].•Planting/re-planting submerged vegetation or benign phytoplankton to restore aquatic microbial biodiversity [151,153].
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Banerji, A.; Brinkman, N.E.; Davis, B.; Franklin, A.; Jahne, M.; Keely, S.P. Food Webs and Feedbacks: The Untold Ecological Relevance of Antimicrobial Resistance as Seen in Harmful Algal Blooms. Microorganisms 2024, 12, 2121. https://doi.org/10.3390/microorganisms12112121

AMA Style

Banerji A, Brinkman NE, Davis B, Franklin A, Jahne M, Keely SP. Food Webs and Feedbacks: The Untold Ecological Relevance of Antimicrobial Resistance as Seen in Harmful Algal Blooms. Microorganisms. 2024; 12(11):2121. https://doi.org/10.3390/microorganisms12112121

Chicago/Turabian Style

Banerji, Aabir, Nichole E. Brinkman, Benjamin Davis, Alison Franklin, Michael Jahne, and Scott P. Keely. 2024. "Food Webs and Feedbacks: The Untold Ecological Relevance of Antimicrobial Resistance as Seen in Harmful Algal Blooms" Microorganisms 12, no. 11: 2121. https://doi.org/10.3390/microorganisms12112121

APA Style

Banerji, A., Brinkman, N. E., Davis, B., Franklin, A., Jahne, M., & Keely, S. P. (2024). Food Webs and Feedbacks: The Untold Ecological Relevance of Antimicrobial Resistance as Seen in Harmful Algal Blooms. Microorganisms, 12(11), 2121. https://doi.org/10.3390/microorganisms12112121

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop