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Article

Vibrio cholerae Gut Colonization of Zebrafish Larvae Induces a Dampened Sensorimotor Response

1
Department of Biochemistry, Microbiology, and Immunology, Wayne State University, Detroit, MI 48201, USA
2
Department of Ophthalmology, Visual and Anatomical Sciences, Wayne State University School of Medicine, Detroit, MI 48201, USA
*
Author to whom correspondence should be addressed.
Biomedicines 2025, 13(1), 226; https://doi.org/10.3390/biomedicines13010226
Submission received: 10 December 2024 / Revised: 15 January 2025 / Accepted: 16 January 2025 / Published: 17 January 2025
(This article belongs to the Special Issue Zebrafish Models for Development and Disease 4.0)

Abstract

:
Background: Cholera is a diarrheal disease prevalent in populations without access to clean water. Cholera is caused by Vibrio cholerae, which colonizes the upper small intestine in humans once ingested. A growing number of studies suggest that the gut microbiome composition modulates animal behavior. Zebrafish are an established cholera model that can maintain a complex, mature gut microbiome during infection. Larval zebrafish, which have immature gut microbiomes, provide the advantage of high-throughput analyses for established behavioral models. Methods: We identified the effects of V. cholerae O1 El Tor C6706 colonization at 5 days post-fertilization (dpf) on larval zebrafish behavior by tracking startle responses at 10 dpf. We also characterized the larval gut microbiome using 16S rRNA sequencing. V. cholerae-infected or uninfected control groups were exposed to either an alternating light/dark stimuli or a single-tap stimulus, and average distance and velocity were tracked. Results: While there was no significant difference in the light/dark trial, we report a significant decrease in distance moved for C6706-colonized larvae during the single-tap trial. Conclusion: This suggests that early V. cholerae colonization of the larval gut microbiome has a dampening effect on sensorimotor function, supporting the idea of a link between the gut microbiome and behavior.

1. Introduction

Cholera is a profuse diarrheal disease spread via the fecal-oral route through contaminated food and water and is endemic in communities around the world without potable water and sanitary facilities [1]. Cholera patients pass a characteristic “rice-water stool” and, without rehydration treatment, are at risk of severe dehydration and death [2]. The World Health Organization estimates an annual 1–4 million cholera cases and upwards of 100,000 deaths internationally, with the most vulnerable demographic being children younger than 5 years old [3,4]. The global risk of cholera is characterized as very high, due to the increasing number of outbreaks and lack of vaccine availability. Prevalence is expected to worsen with climate change [5,6].
Vibrio cholerae, the etiological agent, is a motile Gram-negative bacillus found in aquatic environments [2,7]. V. cholerae isolates are classified into over 200 serogroups based on the somatic O-antigen. Some serogroups may cause mild to severe diarrheal symptoms, but only serogroups O1 and O139 cause cholera and cholera pandemics [1,7]. The O1 serogroup is further divided into two biotypes: classical and El Tor. The toxin-coregulated pilus (TCP) and cholera toxin (CT) are the two major virulence factors unique to these biotypes. These allow V. cholerae to colonize the upper small intestinal epithelium in humans and induce severe diarrheal symptoms, respectively [1,8,9,10,11]. Classical strains were the cause of the first six cholera pandemics beginning in 1817. However, beginning in 1961, El Tor became the dominant, if not primary, cause of the current seventh pandemic [12]. In comparison to El Tor strains, classical strains cause more severe diarrheal symptoms. However, El Tor strains are thought to be more persistent in colonization, as infection duration lasts longer [8,13]. Currently, some circulating El Tor strains, known as atypical or variant El Tor, have acquired some of the classical biotype virulence traits and cause more severe symptoms [14,15,16].
The human gut microbiome contains the majority of commensal bacteria in the body, which are crucial for digestion, nutrient absorption, metabolism, and the function of the immune system [17,18]. Firmicutes and Bacteroidetes are normally the dominant phyla of the human gut microbiome, though individual variation occurs due to genetics, age, sex, diet, and lifestyle, among other factors [19,20,21]. The mucus layer of the gut epithelium is essential to maintain a diverse microbiome, as it provides a surface for the resident gut microbiota and contains proteins for the bacteria to metabolize [22,23,24]. During cholera infection, V. cholerae colonizes the upper small intestine [10,25]. Here, CT induces physical efflux of ions and water, and the mucus shedding in tandem drastically decreases gut microbiome diversity. At this stage, V. cholerae are the most abundant bacteria in the now-altered human gut, and resident gut microbiota fluctuate in response to colonization [26,27].
Growing evidence suggests that dysbiosis (a significant change in the microbiome composition) of the gut is implicated in neurological conditions such as anxiety, depression, autism, and Parkinson’s [28,29,30]. Additionally, the presence of a microbiome is necessary for normal neurological development [31,32]. Because V. cholerae colonizes and perturbs the gut microbiome, it may be possible that infection affects neurological activity in a similar manner.
Current mammalian animal models used to study V. cholerae are useful for understanding pathogenesis, but require invasive procedures, use of infant animals, or antibiotic-treated adult animals to enable V. cholerae to colonize the gut [33,34,35,36,37,38]. Larval and adult zebrafish have been established as natural host models for V. cholerae. Infection via immersion is possible with pathogenic or non-O1 strains. Zebrafish and V. cholerae both originate from the Indian subcontinent, and zebrafish exhibit diarrheal symptoms similar to humans, though gut colonization does not require the same virulence factors required for humans [39,40,41]. A major advantage of the zebrafish model is that the entire infectious cycle, including colonization, competition with the intestinal microbiota, immune responses to infection, and transmission, can be studied, as fish are natural V. cholerae hosts. This infectious cycle closely parallels the human infectious cycle, but mammalian animal models cannot be used to study important components of the cycle, including competition with the intact gut microbiota. The zebrafish gut microbiome shifts over time among individuals and, without the use of antibiotics or invasive procedures required of other animal models, zebrafish have a mature gut microbiome before and during V. cholerae colonization [39,42,43,44]. Adult zebrafish will clear the V. cholerae infection on their own, and the duration varies based on the biotype strain used: classical strains are cleared within 72 h post-infection (hpi) while El Tor strains can colonize beyond 144 hpi [39]. Unpublished data from our lab suggest that El Tor persists for up to two weeks. Zebrafish larvae can also be infected via immersion at 5 days post-fertilization (dpf) when the gut opens and uptake of exogenous food begins [39,45]. The larval gut microbiome is primarily colonized by bacteria of the phylum Pseudomonadota and an unclassified Comamonadaceae [42,46].
Previous studies have found that microbial colonization is required in germ-free zebrafish larvae for normal swim behavior and neurobehavioral development [47,48]. One study found that axenic zebrafish larvae infected with V. cholerae at 1 dpf exhibited a decrease in hypoactivity at 10 dpf, while conventionally colonized zebrafish larvae infected with V. cholerae had no change in locomotor activity [48]. However, this was tested with a dark/light paradigm, whereas a second assay testing for a separate stimulus response would be beneficial to examining gut microbiome crosstalk with different regions of the larval brain and nervous system. An alternating light/dark assay tests the visual system, and a single-tap trial would test locomotor function separate from the visual system. Additionally, specificity of infection with a V. cholerae El Tor strain illuminates the role and effects of its long-term gut colonization on behavior and vice versa. Here, we report that V. cholerae El Tor C6706 colonization of the larval zebrafish gut has no effect on the response to a visual stimulus but does have a dampening effect on the response to an acoustic stimulus.

2. Materials and Methods

2.1. Zebrafish Husbandry

Wild-type AB larvae were used, and larvae were fasted at least 12 h before behavioral trials. During experimentation, larvae were placed in autoclaved water from the Aquaneering aquatic housing system filtered by reverse osmosis and maintained at pH 7.0 to 7.5. Tank water was conditioned with Instant Ocean salt (Aquarium Systems, Mentor, OH, USA) to a conductivity of 600 to 700 μS. Fish were kept in a glass-front incubator at 28 °C on a timed 14 h light, 10 h dark cycle. All animal protocols were approved by the Wayne State University IACUC.

2.2. Vibrio cholerae Infection

V. cholerae infection of zebrafish has been previously described [39,40]. Briefly, El Tor C6706 was incubated with aeration in 30 mL of Luria Broth (LB) agar with 100 µg/mL streptomycin at 37 °C for 12–14 h. Cells were centrifuged at 8000× g then washed and resuspended with 1× phosphate buffer saline (PBS) to a concentration of 109 CFU/mL by measuring at OD600 nm. Serial dilutions were plated onto LB agar with 100 µg/mL streptomycin and 100 µg/mL X-galactosidase (X-gal) for confirmation. In 6-well plates (Fisher Scientific, Pittsburgh, PA, USA), the V. cholerae dilution was pipetted into 5 mL of autoclaved water from the Aquaneering system to an average concentration for both behavioral trials, each repeated in triplicate, of 1.16 × 107 CFU per well. For the uninfected group, in separate 6-well plates, the same amount of sterile 1× PBS was used.
Due to variable larval counts available during experimentation, approximately 10–15 larvae at 5 dpf were then placed in each well with the inoculum (uninfected n = 88, C6706 n = 111). After 6 hpi, all larvae from both groups were removed from wells and separately placed in new wells with 5 mL of new autoclaved water. This rinsing process was repeated three times to wash off the initial inoculum as thoroughly as possible. The larvae were then placed in beakers with 80 mL of new autoclaved water. At 24 hpi, larvae were fed larval food (ARTEMAC, Aquafauna Bio-Marine, Hawthorne, CA, USA). Water change, rinsing, and feeding were repeated daily following infection. Additionally, 100 µL of water from each experimental beaker was plated directly onto LB Agar with 100 µg/mL streptomycin and 100 µg/mL X-gal daily to confirm continued V. cholerae infection of the C6706 group and the sterility of uninfected group. At 9 dpf, individual larvae were placed in flat bottom 24-well plates (diameter 1.65-inch wells) (Falcon, MA, USA) to acclimate for 24 h. At 10 dpf, or 5 days post-infection (dpi), all 24-well plates were closed with a lid and sealed with parafilm around the edges, and light-dark or single-tap stimulus trials were performed.

2.3. Behavioral Assays

All behavioral assays were performed as previously described [49]. Briefly, the larvae in 24-well plates sealed with parafilm were placed in a DanioVision Observation Chamber (Noldus Information Technology, Wageningen, The Netherlands) and tracked using the EthoVision XT13 software and a Basler Gen1 Camera (Basler acA1300-60, Ahrensburg, Germany). Camera resolution was set at 1280 × 960 and the frame rate was set at 25. The DanioVision Temperature Control Unit maintained the larvae at a constant temperature of 28.0 ± 0.5 °C via a steady flow of water to the chamber. All behavioral trials were performed from 1–4 PM. Both behavioral assays were repeated in triplicate.

2.4. Light/Dark Trial

Larvae acclimated in the Noldus in darkness for 12 min. After acclimation, recording began and lasted for 24 min. A uniform light was emitted at 10,500 lux from below the stage. During all 4 alternating cycles of 3 min light and 3 min dark, distance moved (cm) and velocity (cm/s) were tracked (uninfected n = 25, C6706 n = 60). Average distance and average velocity were calculated in Excel from 30 s time bins and analyzed on GraphPad Prism 7.0, v4.02 using the Mann–Whitney test with p < 0.05 as cutoff for significance.

2.5. Single-Tap Trial

Larvae acclimated in the Noldus in darkness for 12 min. After acclimation, recording began and lasted for 2 min. Larvae were exposed to 1 min of no stimulation, followed by a single-tap at the highest intensity setting, and ending with 1 min of no stimulation. Distance moved (cm) was tracked (uninfected n = 63, C6706 n = 51). Average distance was calculated in Excel from 1 s time bins and analyzed on GraphPad using the Mann–Whitney test with p < 0.05 as cutoff for significance.

2.6. Zebrafish Euthanization and Homogenization

All larvae were euthanized in a lethal dose of MS-222 (300 mg/L Tris buffer, pH 7.0) for 30 min and homogenized with a pellet pestle (Fisher Scientific, Pittsburgh, PA, USA). Before infection, at 5 dpf, 15 larvae were homogenized together in 100 µL of 1× PBS. At 10 dpf, 5 uninfected larvae and 5 C6706-infected larvae were homogenized together in 100 µL of 1× PBS.

2.7. DNA Isolation and Sequencing

DNA from 100 µL of larval zebrafish’s combined homogenate was isolated using the DNEasy Powersoil Pro kit (Qiagen, Germantown, MD, USA) per the manufacturer’s instructions. Two extractions using only sterile 1× PBS and no gut samples were also processed as kit controls. The V4 region of the 16s rRNA gene was targeted and amplified using 515F and 806R primers. These primers have yielded successful results in previous zebrafish microbiome studies, and the V4 region has demonstrated high reproducibility [44,50]. Samples were submitted to Michigan State University for Illumina MiSeq Sequencing using previously established methods [51,52].
All raw data were processed with R package ‘dada2tools’, available at https://github.com/jp589/dada2tools (accessed on 29 July 2024), to efficiently correct Illumina amplicon errors without generating operational taxonomic units. Instead, amplicon sequence variants (ASVs) are derived based on 100% sequence similarity. Modifications to an online MiSeq protocol (https://benjjneb.github.io/dada2/tutorial.html, accessed on 29 July 2024) included allowing truncation lengths of 245 bp and 210 bp and a maximum number of errors of 2 bp for forward reads and 7 bp for reverse reads. Sequences were then classified into taxa using the silva_nr99_v138.1_train_set database with a minimum bootstrap value of 80% [53]. Sequences classified as mitochondrial, chloroplast, or not classified at phylum level were removed. Based on the bacterial profiles of two blank DNA extraction kit samples, 1 ASV, an unclassified Corynebacterium, was further removed from the dataset (https://github.com/jp589/dada2tools, accessed on 29 July 2024).
Sixty-five ASVs were detected in the larval gut microbiome. The samples of the gut microbiome of larvae at time zero yielded far fewer 16S rRNA gene sequencing reads (6772) than those of either uninfected control (252,894) or C6706 (181,224) larvae at five days post-infection. Thus, relative abundance data were used for descriptive comparisons among these three groups of samples.

3. Results

3.1. Light/Dark Trials

From the light/dark assay between uninfected larvae and C6706-colonized larvae, there was no significant difference in the average distance travelled nor average velocity of either condition (Figure 1A,B). Data distribution during the second cycle establishes the non-significant difference between the uninfected larvae and C6706-colonized larvae (Figure 1C,D). This trend continued throughout all four cycles.

3.2. Single-Tap Trials

From the single-tap assay, C6706-colonized larvae presented a significantly lower average distance traveled during the 1 s immediately after the single-tap when compared to the uninfected larvae (Figure 2A). The data distribution between the two groups was confirmed to be significant (Figure 2B).

3.3. Larval Gut Microbiome

The two most abundant bacterial ASVs in the guts of larvae at time zero were mainly Proteobacteria, more specifically, an unclassified Comamonadaceae (41%) and Brevundimonas kwangchunensis (35%). At 5 dpi, the same unclassified Comamonadaceae ASV constituted 14% and 7% of the gut microbiomes of uninfected larvae and C6706-infected larvae, respectively. B. kwangchunensis constituted less than 1% of both larval groups’ microbiomes at this same timepoint. Only one other ASV, an unclassified Pseudomonas, constituted more than 5% of the gut microbiome of larvae at time zero. This ASV was the most prominent one among the gut microbiomes of both uninfected (24%) and C6706 (26%) larvae at 5 days post-infection. Notably, these two larval groups shared each of their top 5 ASVs, each constituting at least 5% of their gut microbiome profiles. The taxa of the remaining four ASVs were Rheinheimera coerulea, unclassified Flectobacillus, and two unclassified Comamonadaceae (Figure 3).

4. Discussion

The larval zebrafish brain has approximately 100,000 neurons [54]. Here, identifying a dampened motor response in C6706-colonized larvae to an acoustic stimulus, but not to visual stimuli, suggests that the gut microbiome has crosstalk with different regions and neurons of the larval brain. An open-source Zbrain atlas of the larval zebrafish brain has been established, opening the door for neuronal activity mapping [54]. Acoustic stimuli were found to activate the ears and lateral line, which directly connects to the octavolateralis nucleus (ON), as well as particularly strong neuron activations in the torus semicircularis, thalamus, cerebellum, and remaining hindbrain [54,55,56,57]. Visual stimulus in the form of a 10 s light flash activated the retinal projections and diencephalic areas of the larval brain [54]. In relation to our data, this could indicate a more direct pathway between the gut microbiome and the larval brain regions associated with a response to an acoustic stimulus. More specifically, a V. cholerae El Tor C6706-colonized gut microbiome is either indirectly or directly weakening crosstalk due to the presence of C6706 or absence of resident gut microbiota. Larval locomotion studies are translational in that activation of reticulospinal neurons in the brain stem and the vestibulospinal tract are conserved in vertebrates [58]. Structures of the larval zebrafish brain have evolutionarily conserved homologous functions to other vertebrates’ [59,60].
Our study aimed to identify any behavioral response from two separate stimuli. Screening for other larval behaviors may yield results highlighting other regions of the brain affected by a gut microbiome shift. This includes multi-tap assays to measure habituation, circadian rhythm assays, and prey-capture to measure decision-making [58,61,62,63,64]. Whole-brain imaging would be another direction towards larval neurology during V. cholerae colonization. Behavioral studies are also possible for adult zebrafish colonized with V. cholerae. While adult zebrafish exhibit much more complex, continuous behaviors, on a broader scale, translational relevance is equally complex [65]. For example, adult zebrafish social phenotypes were parallel to social interaction cues observed in humans, such as head direction and physical distance [66]. The link between V. cholerae colonization and behavior in zebrafish could mirror what is naturally occurring in the environment, where pathogenic strains of V. cholerae and zebrafish potentially interact. The link between a cholera infection of zebrafish and their resulting behavior could also demonstrate some advantage towards long-term V. cholerae El Tor gut colonization and the strain’s persistence in the aquatic environment.
Our study included characterizing the larval zebrafish gut microbiome to identify and validate any perturbation to abundance potentially caused by V. cholerae colonization. Comparison of our larval gut microbiome findings were relatively in line with similar previously established studies. The Comamonadaceae family, Rheinheimera coerulea, and Flectobacillus species, all of which were identified in our larval gut samples, have been isolated from freshwater environments [67,68,69]. Pseudomonas, which increased in abundance in the larval gut microbiome by 5 dpi, has been established as a part of the zebrafish core gut microbiome [46]. Stephens et al. have shown that unclassified Comamonadaceae took up 97.5% of all larval intestines, although this family was not as abundant in our samples [42]. Brevundimonas kwangchunensis is the one ASV of our top ASVs identified that has not been thoroughly described in literature, although the Brevundimonas genus has been found in soil and water samples [70,71]. It is interesting that Vibrio was not one of the most abundant ASVs from the C6706-infected group, though plating of 100 µL of two undiluted larval homogenates did yield X-gal blue CFUs indicative of V. cholerae, albeit at low counts of 4 and 11 CFUs. This low yield could potentially be explained by the small size of a single larval intestine. It could be possible that the specific group of larval homogenates submitted for sequencing were poorly infected and colonized with V. cholerae in comparison to other larvae. However, individual variations are statistically less significant in the behavioral study group colonized with V. cholerae El Tor C6706 (n = 111) compared to the gut microbiome collection group (n = 5). The gut microbiome abundances and number of ASVs significantly changing from 5 dpf to 10 dpf prove that gut microbiome diversity can quickly shift at this early developmental stage [42]. Additionally, perhaps plating homogenates on LB without streptomycin would provide confirmation of other, more abundant bacterial species’ growth. Since these behavioral analyses were the first to consider V. cholerae, future trials can include more larvae for sampling to provide a more comprehensive model of the gut microbiome.
In terms of V. cholerae colonization, while V. cholerae El Tor C6706 was tested, it is possible that classical and non-O1 biotype strains induce different behavioral responses. Future studies could determine if the interactions between the larval gut and brain play a role specific to the more persistent colonization of V. cholerae El Tor strains.

Author Contributions

I.C., R.T. and J.H.W.; methodology, X.L. and S.B.; software, X.L. and S.B.; validation, I.C.; formal analysis, I.C.; investigation, I.C.; resources, X.L. and R.T.; data curation, I.C., K.R.T. and J.P.; writing—original draft preparation, I.C.; writing—review and editing, I.C., J.P. and J.H.W.; visualization, I.C.; supervision, J.H.W.; project administration, R.T. and J.H.W.; funding acquisition, J.H.W. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the National Institute of Allergy and Infectious Diseases grant R01AI127390.

Institutional Review Board Statement

All animal study protocols were approved by Wayne State University IACUC.

Informed Consent Statement

Not applicable.

Data Availability Statement

Raw data is available from the corresponding author on request.

Acknowledgments

We thank members of the Withey lab for discussion and animal husbandry support.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Kaper, J.B.; Morris, J.G., Jr.; Levine, M.M. Cholera. Clin. Microbiol. Rev. 1995, 8, 48–86. [Google Scholar] [CrossRef] [PubMed]
  2. Sack, D.A.; Sack, R.B.; Nair, G.B.; Siddique, A.K. Cholera. Lancet 2004, 363, 223–233. [Google Scholar] [CrossRef] [PubMed]
  3. WHO. Number of Reported Cholera Cases. 18 September 2017. Available online: https://iris.who.int/bitstream/handle/10665/258911/WER9236-521-530.pdf (accessed on 1 December 2020).
  4. World Health Organization. Cholera Annual Report; 2020 Weekly Epidemiological Record 37; WHO: Geneva, Switzerland, 2021; Volume 96, pp. 445–460. [Google Scholar]
  5. World Health Organization. Cholera—Global Situation. In Disease Outbreak News; WHO: Geneva, Switze, 2024. [Google Scholar]
  6. Vezzulli, L.; Grande, C.; Reid, P.C.; Hélaöuet, P.; Edwards, M.; Höfle, M.G.; Brettar, I.; Colwell, R.R.; Pruzzo, C. Climate influence on Vibrio and associated human diseases during the past half-century in the coastal North Atlantic. Proc. Natl. Acad. Sci. USA 2016, 113, E5062–E5071. [Google Scholar] [CrossRef]
  7. Kirn, T.J.; Taylor, R.K. TcpF is a soluble colonization factor and protective antigen secreted by El Tor and classical O1 and O139 Vibrio cholerae serogroups. Infect. Immun. 2005, 73, 4461–4470. [Google Scholar] [CrossRef] [PubMed]
  8. Faruque, S.M.; Albert, M.J.; Mekalanos, J.J. Epidemiology, genetics, and ecology of toxigenic Vibrio cholerae. Microbiol. Mol. Biol. Rev. 1998, 62, 1301–1314. [Google Scholar] [CrossRef] [PubMed]
  9. Herrington, D.A.; Hall, R.H.; Losonsky, G.; Mekalanos, J.J.; Taylor, R.K.; Levine, M.M. Toxin, toxin-coregulated pili, and the toxR regulon are essential for Vibrio cholerae pathogenesis in humans. J. Exp. Med. 1988, 168, 1487–1492. [Google Scholar] [CrossRef]
  10. Thelin, K.H.; Taylor, R.K. Toxin-coregulated pilus, but not mannose-sensitive hemagglutinin, is required for colonization by Vibrio cholerae O1 El Tor biotype and O139 strains. Infect. Immun. 1996, 64, 2853–2856. [Google Scholar] [CrossRef]
  11. Torgersen, M.L.; Skretting, G.; van Deurs, B.; Sandvig, K. Internalization of cholera toxin by different endocytic mechanisms. J. Cell Sci. 2001, 114 Pt 20, 3737–3747. [Google Scholar] [CrossRef] [PubMed]
  12. Harris, J.B.; LaRocque, R.C.; Qadri, F.; Ryan, E.T.; Calderwood, S.B. Cholera. Lancet 2012, 379, 2466–2476. [Google Scholar] [CrossRef] [PubMed]
  13. Smirnova, N.I.; Cheldyshova, N.B.; Zadnova, S.P.; Kutyrev, V.V. Molecular-genetic peculiarities of classical biotype Vibrio cholerae, the etiological agent of the last outbreak Asiatic cholera in Russia. Microb. Pathog. 2004, 36, 131–139. [Google Scholar] [CrossRef]
  14. Ghosh, P.; Sinha, R.; Samanta, P.; Saha, D.R.; Koley, H.; Dutta, S.; Okamoto, K.; Ghosh, A.; Ramamurthy, T.; Mukhopadhyay, A.K. Haitian Variant Vibrio cholerae O1 Strains Manifest Higher Virulence in Animal Models. Front. Microbiol. 2019, 10, 111. [Google Scholar] [CrossRef] [PubMed]
  15. Satchell, K.J.; Jones, C.J.; Wong, J.; Queen, J.; Agarwal, S.; Yildiz, F.H. Phenotypic Analysis Reveals that the 2010 Haiti Cholera Epidemic Is Linked to a Hypervirulent Strain. Infect. Immun. 2016, 84, 2473–2481. [Google Scholar] [CrossRef] [PubMed]
  16. Samanta, P.; Saha, R.N.; Chowdhury, G.; Naha, A.; Sarkar, S.; Dutta, S.; Nandy, R.K.; Okamoto, K.; Mukhopadhyay, A.K. Dissemination of newly emerged polymyxin B sensitive Vibrio cholerae O1 containing Haitian-like genetic traits in different parts of India. J. Med. Microbiol. 2018, 67, 1326–1333. [Google Scholar] [CrossRef]
  17. Qin, J.; Li, R.; Raes, J.; Arumugam, M.; Burgdorf, K.S.; Manichanh, C.; Nielsen, T.; Pons, N.; Levenez, F.; Yamada, T.; et al. A human gut microbial gene catalogue established by metagenomic sequencing. Nature 2010, 464, 59–65. [Google Scholar] [CrossRef] [PubMed]
  18. Sender, R.; Fuchs, S.; Milo, R. Are We Really Vastly Outnumbered? Revisiting the Ratio of Bacterial to Host Cells in Humans. Cell 2016, 164, 337–340. [Google Scholar] [CrossRef] [PubMed]
  19. Arumugam, M.; Raes, J.; Pelletier, E.; Le Paslier, D.; Yamada, T.; Mende, D.R.; Fernandes, G.R.; Tap, J.; Bruls, T.; Batto, J.M.; et al. Enterotypes of the human gut microbiome. Nature 2011, 473, 174–180. [Google Scholar] [CrossRef]
  20. Faith, J.J.; McNulty, N.P.; Rey, F.E.; Gordon, J.I. Predicting a human gut microbiota’s response to diet in gnotobiotic mice. Science 2011, 333, 101–104. [Google Scholar] [CrossRef] [PubMed]
  21. Schmidt, T.S.B.; Raes, J.; Bork, P. The Human Gut Microbiome: From Association to Modulation. Cell 2018, 172, 1198–1215. [Google Scholar] [CrossRef]
  22. Kashyap, P.C.; Marcobal, A.; Ursell, L.K.; Smits, S.A.; Sonnenburg, E.D.; Costello, E.K.; Higginbottom, S.K.; Domino, S.E.; Holmes, S.P.; Relman, D.A.; et al. Genetically dictated change in host mucus carbohydrate landscape exerts a diet-dependent effect on the gut microbiota. Proc. Natl. Acad. Sci. USA 2013, 110, 17059–17064. [Google Scholar] [CrossRef]
  23. Li, H.; Limenitakis, J.P.; Fuhrer, T.; Geuking, M.B.; Lawson, M.A.; Wyss, M.; Brugiroux, S.; Keller, I.; Macpherson, J.A.; Rupp, S.; et al. The outer mucus layer hosts a distinct intestinal microbial niche. Nat. Commun. 2015, 6, 8292. [Google Scholar] [CrossRef] [PubMed]
  24. Sicard, J.F.; Le Bihan, G.; Vogeleer, P.; Jacques, M.; Harel, J. Interactions of Intestinal Bacteria with Components of the Intestinal Mucus. Front. Cell. Infect. Microbiol. 2017, 7, 387. [Google Scholar] [CrossRef]
  25. Khan, M.U.; Eeckels, R.; Alam, A.N.; Rahman, N. Cholera, rotavirus and ETEC diarrhoea: Some clinico-epidemiological features. Trans. R. Soc. Trop. Med. Hyg. 1988, 82, 485–488. [Google Scholar] [CrossRef] [PubMed]
  26. Hsiao, A.; Ahmed, A.M.; Subramanian, S.; Griffin, N.W.; Drewry, L.L.; Petri, W.A., Jr.; Haque, R.; Ahmed, T.; Gordon, J.I. Members of the human gut microbiota involved in recovery from Vibrio cholerae infection. Nature 2014, 515, 423–426. [Google Scholar] [CrossRef] [PubMed]
  27. David, L.A.; Weil, A.; Ryan, E.T.; Calderwood, S.B.; Harris, J.B.; Chowdhury, F.; Begum, Y.; Qadri, F.; LaRocque, R.C.; Turnbaugh, P.J.; et al. Gut microbial succession follows acute secretory diarrhea in humans. mBio 2015, 6, e00381-15. [Google Scholar] [CrossRef] [PubMed]
  28. Chen, Y.; Xu, J.; Chen, Y. Regulation of Neurotransmitters by the Gut Microbiota and Effects on Cognition in Neurological Disorders. Nutrients 2021, 13, 2099. [Google Scholar] [CrossRef]
  29. Silva, Y.P.; Bernardi, A.; Frozza, R.L. The Role of Short-Chain Fatty Acids From Gut Microbiota in Gut-Brain Communication. Front. Endocrinol. 2020, 11, 25. [Google Scholar] [CrossRef]
  30. Breit, S.; Kupferberg, A.; Rogler, G.; Hasler, G. Vagus Nerve as Modulator of the Brain-Gut Axis in Psychiatric and Inflammatory Disorders. Front. Psychiatry 2018, 9, 44. [Google Scholar] [CrossRef]
  31. Diaz Heijtz, R.; Wang, S.; Anuar, F.; Qian, Y.; Björkholm, B.; Samuelsson, A.; Hibberd, M.L.; Forssberg, H.; Pettersson, S. Normal gut microbiota modulates brain development and behavior. Proc. Natl. Acad. Sci. USA 2011, 108, 3047–3052. [Google Scholar] [CrossRef] [PubMed]
  32. Neufeld, K.M.; Kang, N.; Bienenstock, J.; Foster, J.A. Reduced anxiety-like behavior and central neurochemical change in germ-free mice. Neurogastroenterol. Motil. 2011, 23, 255-e119. [Google Scholar] [CrossRef] [PubMed]
  33. Spira, W.M.; Sack, R.B.; Froehlich, J.L. Simple adult rabbit model for Vibrio cholerae and enterotoxigenic Escherichia coli diarrhea. Infect. Immun. 1981, 32, 739–747. [Google Scholar] [CrossRef]
  34. Burrows, W.; Musteikis, G.M. Cholera infection and toxin in the rabbit ileal loop. J. Infect. Dis. 1966, 116, 183–190. [Google Scholar] [CrossRef] [PubMed]
  35. Withey, J.H.; Nag, D.; Plecha, S.C.; Sinha, R.; Koley, H. Conjugated Linoleic Acid Reduces Cholera Toxin Production In Vitro and In Vivo by Inhibiting Vibrio cholerae ToxT Activity. Antimicrob. Agents Chemother. 2015, 59, 7471–7476. [Google Scholar] [CrossRef] [PubMed]
  36. Matson, J.S. Infant Mouse Model of Vibrio cholerae Infection and Colonization. In Vibrio Cholerae: Methods and Protocols; Sikora, A.E., Ed.; Springer: New York, NY, USA, 2018; pp. 147–152. [Google Scholar]
  37. Nygren, E.; Li, B.L.; Holmgren, J.; Attridge, S.R. Establishment of an adult mouse model for direct evaluation of the efficacy of vaccines against Vibrio cholerae. Infect. Immun. 2009, 77, 3475–3484. [Google Scholar] [CrossRef] [PubMed]
  38. Sawasvirojwong, S.; Srimanote, P.; Chatsudthipong, V.; Muanprasat, C. An Adult Mouse Model of Vibrio cholerae-induced Diarrhea for Studying Pathogenesis and Potential Therapy of Cholera. PLoS Negl. Trop. Dis. 2013, 7, e2293. [Google Scholar] [CrossRef]
  39. Runft, D.L.; Mitchell, K.C.; Abuaita, B.H.; Allen, J.P.; Bajer, S.; Ginsburg, K.; Neely, M.N.; Withey, J.H. Zebrafish as a natural host model for Vibrio cholerae colonization and transmission. Appl. Environ. Microbiol. 2014, 80, 1710–1717. [Google Scholar] [CrossRef]
  40. Mitchell, K.C.; Withey, J.H. Danio rerio as a Native Host Model for Understanding Pathophysiology of Vibrio cholerae. In Vibrio Cholerae: Methods and Protocols; Sikora, A.E., Ed.; Humana Press Inc.: Totowa, NJ, USA, 2018; pp. 97–102. [Google Scholar]
  41. Nag, D.; Mitchell, K.; Breen, P.; Withey, J.H. Quantifying Vibrio cholerae Colonization and Diarrhea in the Adult Zebrafish Model. J. Vis. Exp. 2018, 137, 57767. [Google Scholar] [CrossRef]
  42. Stephens, W.Z.; Burns, A.R.; Stagaman, K.; Wong, S.; Rawls, J.F.; Guillemin, K.; Bohannan, B.J. The composition of the zebrafish intestinal microbial community varies across development. ISME J. 2016, 10, 644–654. [Google Scholar] [CrossRef] [PubMed]
  43. Senderovich, Y.; Izhaki, I.; Halpern, M. Fish as reservoirs and vectors of Vibrio cholerae. PLoS ONE 2010, 5, e8607. [Google Scholar] [CrossRef]
  44. Breen, P.; Winters, A.D.; Theis, K.R.; Withey, J.H. Vibrio cholerae Infection Induces Strain Specific Modulation of the Zebrafish Intestinal Microbiome. Infect. Immun. 2021, 89, Iai0015721. [Google Scholar] [CrossRef] [PubMed]
  45. Kuil, L.E.; Chauhan, R.K.; Cheng, W.W.; Hofstra, R.M.W.; Alves, M.M. Zebrafish: A Model Organism for Studying Enteric Nervous System Development and Disease. Front. Cell Dev. Biol. 2021, 8, 629073. [Google Scholar] [CrossRef] [PubMed]
  46. Roeselers, G.; Mittge, E.K.; Stephens, W.Z.; Parichy, D.M.; Cavanaugh, C.M.; Guillemin, K.; Rawls, J.F. Evidence for a core gut microbiota in the zebrafish. ISME J. 2011, 5, 1595–1608. [Google Scholar] [CrossRef] [PubMed]
  47. Davis, D.J.; Bryda, E.C.; Gillespie, C.H.; Ericsson, A.C. Microbial modulation of behavior and stress responses in zebrafish larvae. Behav. Brain Res. 2016, 311, 219–227. [Google Scholar] [CrossRef]
  48. Phelps, D.; Brinkman, N.E.; Keely, S.P.; Anneken, E.M.; Catron, T.R.; Betancourt, D.; Wood, C.E.; Espenschied, S.T.; Rawls, J.F.; Tal, T. Microbial colonization is required for normal neurobehavioral development in zebrafish. Sci. Rep. 2017, 7, 11244. [Google Scholar] [CrossRef] [PubMed]
  49. Banerjee, S.; Ranspach, L.E.; Luo, X.; Cianciolo, L.T.; Fogerty, J.; Perkins, B.D.; Thummel, R. Vision and sensorimotor defects associated with loss of Vps11 function in a zebrafish model of genetic leukoencephalopathy. Sci. Rep. 2022, 12, 3511. [Google Scholar] [CrossRef]
  50. Breen, P.; Winters, A.D.; Nag, D.; Ahmad, M.M.; Theis, K.R.; Withey, J.H. Internal Versus External Pressures: Effect of Housing Systems on the Zebrafish Microbiome. Zebrafish 2019, 16, 388–400. [Google Scholar] [CrossRef] [PubMed]
  51. Caporaso, J.G.; Lauber, C.L.; Walters, W.A.; Berg-Lyons, D.; Huntley, J.; Fierer, N.; Owens, S.M.; Betley, J.; Fraser, L.; Bauer, M.; et al. Ultra-high-throughput microbial community analysis on the Illumina HiSeq and MiSeq platforms. ISME J. 2012, 6, 1621–1624. [Google Scholar] [CrossRef]
  52. Whittaker, D.J.; Gerlach, N.M.; Slowinski, S.P.; Corcoran, K.P.; Winters, A.D.; Soini, H.A.; Novotny, M.V.; Ketterson, E.D.; Theis, K.R. Social Environment Has a Primary Influence on the Microbial and Odor Profiles of a Chemically Signaling Songbird. Front. Ecol. Evol. 2016, 4, 90. [Google Scholar] [CrossRef]
  53. Quast, C.; Pruesse, E.; Yilmaz, P.; Gerken, J.; Schweer, T.; Yarza, P.; Peplies, J.; Glöckner, F.O. The SILVA ribosomal RNA gene database project: Improved data processing and web-based tools. Nucleic Acids Res. 2013, 41, D590–D596. [Google Scholar] [CrossRef] [PubMed]
  54. Randlett, O.; Wee, C.L.; Naumann, E.A.; Nnaemeka, O.; Schoppik, D.; Fitzgerald, J.E.; Portugues, R.; Lacoste, A.M.; Riegler, C.; Engert, F.; et al. Whole-brain activity mapping onto a zebrafish brain atlas. Nat. Methods 2015, 12, 1039–1046. [Google Scholar] [CrossRef]
  55. Liao, J.C.; Haehnel, M. Physiology of afferent neurons in larval zebrafish provides a functional framework for lateral line somatotopy. J. Neurophysiol. 2012, 107, 2615–2623. [Google Scholar] [CrossRef] [PubMed]
  56. Vanwalleghem, G.; Heap, L.A.; Scott, E.K. A profile of auditory-responsive neurons in the larval zebrafish brain. J. Comp. Neurol. 2017, 525, 3031–3043. [Google Scholar] [CrossRef]
  57. Poulsen, R.E.; Scholz, L.A.; Constantin, L.; Favre-Bulle, I.; Vanwalleghem, G.C.; Scott, E.K. Broad frequency sensitivity and complex neural coding in the larval zebrafish auditory system. Curr. Biol. 2021, 31, 1977–1987.e4. [Google Scholar] [CrossRef] [PubMed]
  58. Basnet, R.M.; Zizioli, D.; Taweedet, S.; Finazzi, D.; Memo, M. Zebrafish Larvae as a Behavioral Model in Neuropharmacology. Biomedicines 2019, 7, 23. [Google Scholar] [CrossRef] [PubMed]
  59. Perathoner, S.; Cordero-Maldonado, M.L.; Crawford, A.D. Potential of zebrafish as a model for exploring the role of the amygdala in emotional memory and motivational behavior. J. Neurosci. Res. 2016, 94, 445–462. [Google Scholar] [CrossRef] [PubMed]
  60. Lucini, C.; D’Angelo, L.; Cacialli, P.; Palladino, A.; de Girolamo, P. BDNF, Brain, and Regeneration: Insights from Zebrafish. Int. J. Mol. Sci. 2018, 19, 3155. [Google Scholar] [CrossRef] [PubMed]
  61. Beppi, C.; Straumann, D.; Bögli, S.Y. Author Correction: A model-based quantification of startle reflex habituation in larval zebrafish. Sci. Rep. 2021, 11, 8166. [Google Scholar] [CrossRef]
  62. Rihel, J.; Prober, D.A.; Arvanites, A.; Lam, K.; Zimmerman, S.; Jang, S.; Haggarty, S.J.; Kokel, D.; Rubin, L.L.; Peterson, R.T.; et al. Zebrafish behavioral profiling links drugs to biological targets and rest/wake regulation. Science 2010, 327, 348–351. [Google Scholar] [CrossRef]
  63. Borla, M.A.; Palecek, B.; Budick, S.; O’Malley, D.M. Prey capture by larval zebrafish: Evidence for fine axial motor control. Brain Behav. Evol. 2002, 60, 207–229. [Google Scholar] [CrossRef] [PubMed]
  64. Banerjee, S.; Bongu, S.; Hughes, S.P.; Gaboury, E.K.; Carver, C.E.; Luo, X.; Bessert, D.A.; Thummel, R. Hypomyelinated vps16 Mutant Zebrafish Exhibit Systemic and Neurodevelopmental Pathologies. Int. J. Mol. Sci. 2024, 25, 7260. [Google Scholar] [CrossRef] [PubMed]
  65. Kalueff, A.V.; Gebhardt, M.; Stewart, A.M.; Cachat, J.M.; Brimmer, M.; Chawla, J.S.; Craddock, C.; Kyzar, E.J.; Roth, A.; Landsman, S.; et al. Towards a comprehensive catalog of zebrafish behavior 1.0 and beyond. Zebrafish 2013, 10, 70–86. [Google Scholar] [CrossRef] [PubMed]
  66. Stewart, A.M.; Braubach, O.; Spitsbergen, J.; Gerlai, R.; Kalueff, A.V. Zebrafish models for translational neuroscience research: From tank to bedside. Trends Neurosci. 2014, 37, 264–278. [Google Scholar] [CrossRef]
  67. Moon, K.; Kang, I.; Kim, S.; Kim, S.J.; Cho, J.C. Genomic and ecological study of two distinctive freshwater bacteriophages infecting a Comamonadaceae bacterium. Sci. Rep. 2018, 8, 7989. [Google Scholar] [CrossRef] [PubMed]
  68. Sheu, S.-Y.; Chen, W.; Young, C.; Chen, W. Rheinheimera coerulea sp. nov., isolated from a freshwater creek, and emended description of genus Rheinheimera Brettar et al. 2002. Int. J. Syst. Evol. Microbiol. 2018, 68, 2340–2347. [Google Scholar] [CrossRef] [PubMed]
  69. Chen, W.-M.; Lin, K.R.; Young, C.C.; Sheu, S.Y. Flectobacillus fontis sp. nov., isolated from a freshwater spring. Int. J. Syst. Evol. Microbiol. 2017, 67, 336–342. [Google Scholar] [CrossRef] [PubMed]
  70. Yoon, J.H.; Kang, S.J.; Oh, H.W.; Lee, J.S.; Oh, T.K. Brevundimonas kwangchunensis sp. nov., isolated from an alkaline soil in Korea. Int. J. Syst. Evol. Microbiol. 2006, 56 Pt 3, 613–617. [Google Scholar] [CrossRef]
  71. Ryan, M.P.; Pembroke, J.T. Brevundimonas spp: Emerging global opportunistic pathogens. Virulence 2018, 9, 480–493. [Google Scholar] [CrossRef] [PubMed]
Figure 1. Light/Dark Trial Results. (A) Average distance traveled during 4 alternating periods of 3 min light and 3 min dark. Uninfected control in blue (n = 25) and C6706-infected in red (n = 60). (B) Average velocity during 4 alternating periods of 3 min light and 3 min dark. Uninfected control in blue (n = 25) and C6706-infected in red (n = 60). Error bars represent standard error of mean. (C) Violin plot of average distance traveled during the second cycle of light and dark. (D) Violin plot of average velocity during second cycle of light and dark. “ns” indicates no significance.
Figure 1. Light/Dark Trial Results. (A) Average distance traveled during 4 alternating periods of 3 min light and 3 min dark. Uninfected control in blue (n = 25) and C6706-infected in red (n = 60). (B) Average velocity during 4 alternating periods of 3 min light and 3 min dark. Uninfected control in blue (n = 25) and C6706-infected in red (n = 60). Error bars represent standard error of mean. (C) Violin plot of average distance traveled during the second cycle of light and dark. (D) Violin plot of average velocity during second cycle of light and dark. “ns” indicates no significance.
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Figure 2. Single-tap trial results. (A) Uninfected control in blue (n = 63) and C6706-infected in red (n = 51). ** p = 0.0092. Student’s t-test performed for statistical significance. Error bars represent standard error of mean. (B) Violin plot of average distance traveled during single tap. “**” indicates p < 0.01.
Figure 2. Single-tap trial results. (A) Uninfected control in blue (n = 63) and C6706-infected in red (n = 51). ** p = 0.0092. Student’s t-test performed for statistical significance. Error bars represent standard error of mean. (B) Violin plot of average distance traveled during single tap. “**” indicates p < 0.01.
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Figure 3. Stacked bar graph of most abundant ASVs identified in larval gut microbiome samples. “Remaining ASVs” refers to all ASVs that constitute less than 5% of the sample.
Figure 3. Stacked bar graph of most abundant ASVs identified in larval gut microbiome samples. “Remaining ASVs” refers to all ASVs that constitute less than 5% of the sample.
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MDPI and ACS Style

Cubillejo, I.; Theis, K.R.; Panzer, J.; Luo, X.; Banerjee, S.; Thummel, R.; Withey, J.H. Vibrio cholerae Gut Colonization of Zebrafish Larvae Induces a Dampened Sensorimotor Response. Biomedicines 2025, 13, 226. https://doi.org/10.3390/biomedicines13010226

AMA Style

Cubillejo I, Theis KR, Panzer J, Luo X, Banerjee S, Thummel R, Withey JH. Vibrio cholerae Gut Colonization of Zebrafish Larvae Induces a Dampened Sensorimotor Response. Biomedicines. 2025; 13(1):226. https://doi.org/10.3390/biomedicines13010226

Chicago/Turabian Style

Cubillejo, Isabella, Kevin R. Theis, Jonathan Panzer, Xixia Luo, Shreya Banerjee, Ryan Thummel, and Jeffrey H. Withey. 2025. "Vibrio cholerae Gut Colonization of Zebrafish Larvae Induces a Dampened Sensorimotor Response" Biomedicines 13, no. 1: 226. https://doi.org/10.3390/biomedicines13010226

APA Style

Cubillejo, I., Theis, K. R., Panzer, J., Luo, X., Banerjee, S., Thummel, R., & Withey, J. H. (2025). Vibrio cholerae Gut Colonization of Zebrafish Larvae Induces a Dampened Sensorimotor Response. Biomedicines, 13(1), 226. https://doi.org/10.3390/biomedicines13010226

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