Biotechnology of Microorganisms from Coal Environments: From Environmental Remediation to Energy Production
Abstract
:Simple Summary
Abstract
1. Introduction
2. Coal Environments as Natural Habitats for Microbial Communities
3. Coal Materials as Substrates for Microorganisms
- A.
- alkaline substances (ammonia, biogenic amines, peptides, and their derivatives) and chelators are involved in the microbial solubilization (liquefaction) of coal. These non-enzymatic substances are produced by fungi and bacteria using the organic acids of the medium and increase oxidation by neutralizing the carboxylic acids present in coal, ultimately resulting in coal solubilization.
- B.
- coal depolymerization and solubilization can be achieved through catalytic metabolism, especially with lignin-degrading enzymes, because the structure of low-rank coal is very similar to that of lignin. These enzymes play a critical role in humic acid depolymerization by breaking the covalent bonds within the coal macromolecule. These enzymes can be divided into oxidative (lignin peroxidase, manganese peroxidase, and laccase) and non-oxidative (esterases). Numerous microorganisms (Penicillium sp., Trichoderma sp., Bacillus sp., Mycobacterium sp., Acinetobacter sp., Enterobacter sp., Rhodococcus sp.) have been documented to secrete ligninolytic enzymes on culture medium containing coal. Saprotrophic fungi and, in particular, ligninolytic microorganisms may act as biocatalysts for coal transformation [4].
- C.
- chelating agents (e.g., oxalic acid, salicylic acid, and triethylamine) secreted by fungi can react with the metal ions (calcium, iron, and magnesium) in coal and depolymerize its molecular structure, resulting in the generation of small water-soluble molecules.
- D.
- detergents (surfactants) enhance coal solubilization/dissolution by promoting the absorption of biological enzymes on the coal’s surface and by reducing surface tension. In addition, surfactants can also shift the reaction sites of certain enzymes, which may lead to higher coal biodegradation rates.
- E.
- like oxidases, non-oxidative esterases also play a large role in coal degradation. These enzymes are mainly produced by Gram-negative and Gram-positive soil bacteria and can hydrolyze coal polymers by the cleavage of ester or ether bonds.
3.1. Peculiarities of Coal Degradation by Bacteria
3.2. Coal Degradation by Fungi
4. Bioremediation of Contaminated Sites by Native Microorganisms
4.1. Bioremediation of Coal Mining Areas by Microorganisms
4.2. Bioremediation Potential of Arbuscular Mycorrhizal Fungi
4.3. Rhizosphere Microbial Community as a Bioindicator of Soil Restoration in Coal Mining Sites
4.4. Bioremediation of Heavy Metals and Selenium in Coal Mining Areas
4.5. Bioremediation of Salt-Affected Soils
5. Agricultural Applications of Microorganisms Native to Coal Environments
5.1. Production of Humic Substances through Coal Biodegradation
5.2. Coal Microorganisms with Plant-Growth-Promoting Characteristics
6. Coal Microalgae Hold Great Biotechnological Potential in Coal Utilization and Processing
6.1. Phycoremediation
6.2. Cultivation of Microalgae with Flue Gas from Coal-Fired Power Plants
6.3. Lipid Production by Native Microalgae
6.4. Co-Firing of Microalgae with Coal for Power Generation
7. Limitations
- Since every coal environment is unique in terms of nature and geology, it is difficult to formulate a set of general principles that could enhance the bio-utilization of coal universally. Furthermore, every coal source, which behaves as a part of a geomicrobial reactor, may have unique characteristics; therefore, the selection criteria of respective microbial species should be considered carefully;
- More efforts should be made to promote better characterization of the native microorganisms, their metabolic capacities, and/or exact metabolic pathways. An understanding of the detailed mechanisms of coal biodegradation/bioconversion and their exploitation at the molecular level may be required for sustainable agricultural and environmental systems. Studies examining the metabolic and physiological characteristics of microorganisms associated with coal environments have the potential to address fundamental questions about the primary functional drivers, a key area of investigation in coal biotechnology;
- Exploiting indigenous “microbial cocktails” native to coal may help to achieve optimized coal bioprocessing/utilization; however, this may be quite selective to a given coal environment;
- The traditional culture-dependent techniques, despite their advantages, might have limitations in capturing and studying large variates/amounts of microorganisms from coal environments; it is thus imperative to evolve more advanced techniques to discover novel microorganisms possessing unique metabolic characteristics;
- The underlying mechanisms of the functional roles of bacteria, fungi, and plants in coal-associated sites (abandoned mines, surface coal mines, and post-coal mining activities) and affecting environmental factors are yet to be fully explored;
- Although recent evidence has implicated the vast potential of microalgae in coal environments, a further understanding of their ecology, adaptation mechanisms, and efficient application of these organisms could be crucial for successful bioenergy production and environmental protection.
8. Future Trends
- Until now, fundamental research on coal biodegradation and bioutilization has focused mainly on the laboratory-scale screening of various methodologies and exogenous microorganisms; however, the implementation and optimization of these processes using indigenous microorganisms in full-scale outdoor systems remain attractive;
- Many research outcomes are too preliminary to predict the details of a commercialized process. Some consideration must be given to upgrading the technology to bring these processes to regulatory issues and policy that may exert a strong influence in the future;
- Because coal bioutilization is a complex and intricate process, efficient organisms and processes will be critical for economic competitiveness. The modern techniques of recombinant DNA technology and protein science may serve as enhanced tools for the manipulation of indigenous microorganisms;
- Furthermore, exogenous coal-solubilizing bacteria may become part of the indigenous microbial consortia that colonize coal environments, though they may be able to naturally thrive and subsequently solubilize coal in this ecological niche.
9. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Coal Environment | Location | Study Type | Microbial Community Analysis | Microbial Community Structure | Significance | Ref. |
---|---|---|---|---|---|---|
Sediment from a brown coal basin | Sokolov brown coal basin, Czech Republic | Screening for microbial markers in sediment exposed during open-cast brown coal mining | PLFA, TLFA, and direct and cultivable microbial counts | Fungi of the genera Penicillium, Verticillium, Cladosporium, and Aspergillus, and heterotrophic bacteria of the genera Nocardiopsis, Kocuria, Paenibacillus, Rothia, Clavibacter, Bacillus, Brevibacillus, Arthrobacter, Micrococcus, Microbacterium, Acinetobacter, and Pseudomonas were isolated and characterized | Relatively high content of viable biomass and spectrum of saprotrophic fungi and heterotrophic bacteria showed that the sediment was a microbially rich geological medium in which microorganisms could survive/thrive for a long time. | [18] |
Brown coal mine deposit area | Sokolov brown coal basin, Czech Republic | Assessment of the development of bacterial communities throughout the succession in the mining area | PLFA, microarray, and 16S rRNA gene-based analysis | Bacterial community composition of the 6-year-old site with no vegetation cover greatly differed from those of the older sites, especially with higher contents of Gammaproteobacteria, Cyanobacteria, and some Alphaproteobacteria. | Bacterial communities were especially vital during primary succession in its initial and late phases, when they dominated over soil fungi. | [19] |
Stockpiles of opencast coal mines | Coal-rich Emalahleni area, South Africa | Investigation of the microbial community and enzyme activities as soil quality indicators in stockpiles of coal mines | PCR-DGGE analyses and enzyme activity determination | The bacterial OTUs spanned two phyla (Firmicutes and Proteobacteria) and four genera viz Bacillus, Pseudomonas, Azomonas, and Lysinibacillus. All fungal OTUs belonged to Ascomycota. Overall, the microbial community from stockpiles was impaired compared with that of the unmined site | Differences in microbial diversity and enzyme activities suggested that the soil’s biological components were highly sensitive to soil disturbance | [20] |
Coal-mining-disturbed overburden | Overburden unit, USA | Assessment of the microbiological changes that occur during the maturation of surface-mining-disturbed overburden | 16S rRNA gene-based analysis | Recently disturbed overburden contained an abundance of sulfur-oxidizing Limnobacter spp., but overburden-associated microbial communities were developed with increasing time post-disturbance | Over time, the biogeochemical weathering of disturbed overburden led to the development of microbial communities and geochemical conditions | [21] |
Coal seam | Coal industry area, China | Exploration of the effects of soil extraction on microbial communities in coal seams | 16S rRNA and mcrA gene-based analysis | Soil extraction from the shallow soil layer far away from the coal mine increased the bacterial α-diversity of the coal samples and changed the bacterial community composition | Provided basic microbial information for the subsurface microbial invasion of coal seams and helped to increase our understanding of the source of microorganisms in coal seams | [22] |
Subsurface coal seams | Sydney, Surat, and Gunnedah coals, Australia | Examination of the succession and spatial partitioning of microbial ecology in coal seam environments | 16S rRNA gene-based analysis | Proteobacteria formed a larger attached proportion (p < 0.0005), whereas Firmicutes made up a larger planktonic proportion (p < 0.0001). Bacteroidetes, Actinobacteria, and Euryarchaeota had significantly higher relative abundances in the planktonic fractions (p < 0.183, p < 0.011, and p < 0.0002, respectively) | Demonstrated that coal seam microbial communities undergo spatial niche partitioning during periods of succession | [12] |
Spoil heaps after coal mining | Sokolov coal mining district, Czech Republic | Description of the changes in the topsoil properties of the coal mine deposit with a focus on the microbial biomass activity | PLFA and enzyme assays | Succession age affected the total and bacterial PLFA contents, followed by the soil layer and season, while for the fungal biomass content-related properties, the season was the most important | There was a general trend of increasing soil microbial biomass and the activity of enzymes in the soil during the initial phases of primary succession on spoil heaps | [23] |
Coal-mining-affected soils | Subsided land due to underground coal mining, China | Exploration of the effects of different fertilizers on coal mining-affected soils and the bacterial community | 16S rDNA gene-based analysis | The relative abundances of Proteobacteria, Bacteroidetes, and Verrucomicrobia increased, but the relative abundances of Chloroflexi and Nitrospirae decreased when an organic fertilizer was added | Soil reclamation via fertilization can contribute to soil recovery and bacterial community restoration over time | [24] |
Coal mine sludge | Coal mine wastewater treatment plants, China | Investigation of the microbial composition and structure of industrial coal mine sludge | 16S rRNA gene-based analysis | The most abundant phylum of wastewater was Proteobacteria, ranging from 63.64% to 96.10%, followed by Bacteroidetes (7.26%), Firmicutes (5.12%), Nitrospira (2.02%), Acidobacteria (1.31%), Actinobacteria (1.30%), and Planctomycetes (0.95%) | Most of the core genera were closely related to aromatic hydrocarbon degradation and denitrification processes, which may be helpful for wastewater management and control | [25] |
Coal-mine-disturbed soils | Open-cut coal mine, Australia | Using microbial diversity to investigate the impacts of soil disturbance during open-cut mining | 16S rRNA gene-based analysis | Greater species richness and evenness were revealed in rehabilitated soils as compared with non-mined soils, regardless of rehabilitation age. | Effects of inorganic fertilizer dwindled with increasing plot age, and the microbial community composition in rehabilitation sites became more equable to that in non-mined sites | [26] |
Reclaimed coal mine soils | Surface coal mines, USA | Description of microbial community recovery over time in reclaimed soils | PLFA | Initial effects of surface mining resulted in total microbial biomass and diversity reductions. The total concentration of PLFA biomarkers increased after 5–14 years in soils established under plant communities | Most important phase of microbial community recovery may occur between 5 and 14 years after reclamation | [27] |
Coal seam groundwater | Coal seam aquifer, Japan | The first inventory of coal seam microorganisms, along with the environmental and geochemical parameters involved | 16S rRNA gene-based analysis | Bacterial genera Acetobacterium and Syntrophus, which have a symbiotic association with methanogens, were dominant; the archaeal hydrogenotrophic genus Methanoculleus and the methylotrophic genus Methanolobus were dominant | Presence of methanogens in the coal seam was suggested by methanogenic archaea and acetogenic/H2-generating bacteria in association with methanogens | [28] |
Acid coal mine drainage | Constructed wetland system adjacent to coal mine, USA | Bacterial diversity analysis of constructed wetland that received acid drainage from an abandoned underground coal mine | 16S rRNA gene-based analysis and RFLP | Approximately 40% and 35% of 16S rRNA RFLP patterns were consistent with Acidithiobacillus ferrooxidans and A. thiooxidans, respectively. Three sequences were identified as being closely associated with heterotrophic iron-oxidizing species | Dominance of the acidithiobacilli was consistent with the chemical characteristics of this site (continuous supply of reduced iron and sulfur components but with a limited amount of organic compounds) | [29] |
Acid coal mine drainage | Constructed wetland system adjacent to coal mine, USA | Characterization of the microbial population present in a wetland that receives acid coal mine drainage | 16S rRNA gene-based analysis | The dominant microbial species in an acid-receiving, oxic wetland were iron and sulfur oxidizers—Acidithiobacillus thiooxidans and A. ferrooxidans. | Presence of iron and sulfur oxidizers in the iron precipitate samples was consistent with the biological oxidation of iron and sulfur compounds | [30] |
Interbedded coal deposit | Terrestrial core with lignite/coaly layers, New Zealand | Multidisciplinary (microbiological and geochemical) investigation of the coal deposit | 16S rRNA gene-based analysis | Similar cell numbers (mean 1.2 × 106 cm−3), high viability (4–32%), intact phospholipids (biomarkers for living Bacteria), and activity (sulfate reduction and DNA replication) occurred heterogeneously throughout the core | Prokaryotic populations and activity changed with lithology, depth, and substrates (formate, acetate, and oxalate) | [31] |
Acid coal mine drainage | Closed coal mine, China | Investigation of mineralogical and bacterial diversity of a river affected by acid mine drainage | 16S rRNA gene-based analysis | Proteobacteria and Firmicutes were the dominant phyla, and an apparent variation in Firmicutes species was observed in the creek affected by acid coal mine drainage | Variation in Firmicutes could be a biological index to diagnose the natural attenuation of acid coal mine drainage | [32] |
Coal-bearing sediments | Marine subsurface sediments, Japan | Study of piezophilic microbial communities, which may include some spore formers buried in the deep and old coal-bearing sediment | 16S rRNA gene-based analysis | The members of spore-forming bacteria within Firmicutes and Actinobacteria were predominantly detected in all enrichment cultures from ~1.5 to 2.4 km-deep sediment samples, followed by members of Proteobacteria, Acidobacteria, and Bacteroidetes. In addition, piezophilic bacteria closely related to Virgibacillus pantothenticus and Bacillus subtilis were isolated | Results underline that the deeply buried microorganisms are still alive and revivable. The continued use of cultivation-dependent approaches may lead to the discovery of other piezophilic bacteria and provide a direct means to learn more about their adaptation strategies | [33] |
Coal mine drainage | Flooded coal mine shaft, Russia | Molecular analysis of the microbial community of the water from a flooded coal mine shaft | 16S rRNA gene-based analysis | Most bacteria were proteobacteria of gamma classes (39.12%) and epsilon (18.65%). Among the Gammaproteobacteria, members of the genera Thiovirga (18.52%), Thiothrix (9.52%), and Thiomicrorhabdus (2.25%) were revealed | Presence of sulfur-oxidizing bacteria as the dominant group indicates that this process is responsible for the production of organic matter | [34] |
Coal mine spoils | Opencast coal mine area, India | Investigation of the soil/spoil physicochemical and bacterial properties in an opencast coal mine | 16S rRNA gene-based analysis | The study suggests the presence of all the bacterial entities, such as Arthrobacter, Sinomonas, Paraburkholderia, and Bacillus, to be potential biomarkers of mine spoils | Among the isolated bacterial population, Arthrobacter and Sinomonas were the most dominant entities used as important ecological indicators | [15] |
Soils around coal-fire vents | Coal-fire vents, China | Investigation of bacterial and archaeal diversity in surface soils of coal-fire gas vents | RFLP and 16S rRNA gene-based analysis | The bacterial community was mainly composed of Firmicutes, Proteobacteria, Acidobacteria, Bacteroidetes, Planctomycetes, Actinobacteria, and unidentified groups. Archaeal phylotypes were the species of the phyla Crenarchaeota (97.9%) and Thaumarchaeota (2.1%) | Microbial communities were diverse and could contain a large number of novel cultivable species with the potential to assimilate materials by heterotrophic metabolism at high temperatures | [35] |
Coal mining waste | Coal fire area, Russia | Study of the soil microbial community associated with the zone of underground coal combustion | 16S rRNA gene-based analysis | The community was dominated by aerobic bacteria capable of growing autotrophically and obtaining energy via the oxidation of the main components of coal gases, hydrogen, and carbon monoxide | Expanded knowledge of microbial diversity, evolution, and mechanisms of adaptation to extreme coal environmental conditions | [36] |
Sediment-exposed reject coal | Wetland impacted by rejected coal, USA | Recovering the novel bacterial diversity from a forested wetland impacted by rejected coal | 16S rDNA gene-based analysis | Bacterial isolates were composed of Acidiphilium sp., Acidobacterium capsulatum, Ferromicrobium acidophilium, and Leptospirillum ferrooxidans. The archaeal community consisted mainly of the genus Thermoplasma and sequences of a novel type | Libraries also exhibited novel 16S rDNA types not retrieved from other habitats, indicating that significant diversity remains to be detected | [37] |
Soils reclaimed after coal mining | Dave Johnson Coal Mine, USA | Study of the microbial community composition influenced by undisturbed and reclaimed soil | RFLP | Both undisturbed and reclaimed soil bacterial communities were found to be dominated by Actinobacteria; undisturbed and reclaimed soils contained Actinobacteridae and Rubrobacteridae predominate, respectively | Knowledge of diversity patterns within different soil matrices may greatly aid in determining ecological function and developing diagnostic measures of soil health | [38] |
Coal mine drainage | Meitanba mine, China | Investigation of the bacterial diversity of modified (sulfur and ferrous sulfate) coal mine drainage samples | ARDRA | The compositions of the microbial community structure of the sulfur and ferrous sulfate coal samples (Acidithiobacillus spp. (98.42%), Pseudomonas spp. (1.54%), and Legionella spp. (0%)) were different from those of the control samples | Results showed that iron could play an essential role in the microbial community structure of coal mine drainage | [39] |
Coal discard | Coal discard sites located within grassland, South Africa | Comparison of assessment parameters indicative of microbial community function and structure in rehabilitated asbestos- and coal-discard sites | PLFA and enzymatic assays | Viable microbial biomass was determined as 6080–29,851 and 8128–47,242 pmol g−1 dry weight for the coal and asbestos discard sites, respectively. The ranges for dehydrogenase activity in coal sites and asbestos were 24.3–339.5 μg INF g−1 2 h−1 and 44.5–544.6 μg INF g−1 2 h−1, respectively | Established minimum and maximum values for microbial community properties applicable to rehabilitated discard sites originating from both asbestos and coal mining | [17] |
Brown coal colliery spoil | Sokolov coal mining district, Czech Republic | Study on the importance of culturability in heterotrophic bacterial population succession on a spoil of brown coal colliery substrate | Viable bacterial biomass, culturable to total cell ratio, and colony-forming curve | Four hundred and seventeen isolates were analyzed and assigned to 35 genera (23 G+ and 12 G−) and 81 species/biotypes (51 G+ and 30 G−). The most abundant genera were Pseudomonas (22% of total species), Arthrobacter (10 %), Bacillus (9%), and Paenibacillus (6%) | Heterotrophic bacterial population in the surface layer of brown colliery spoil changed with the length of time after deposition | [40] |
Acid coal mine drainage waters | Streams in southeastern Ohio, USA | Investigation of the relationship of the Al, Fe, Mn, and Zn concentrations in Klebsormidium- dominant algal mats, water, and sediments | Compound microscope determination | The algal samples were primarily Composed of K. rivulare, with this taxon comprising 95–100% of the algal biomass. Other taxa found were the two unicellular algae Euglena mutabilis and Chlamydomonas sp., and the filamentous Microspora sp. | Klebsormidium-dominated algal mats may be a good indicator of the Fe concentration in water, but not of the contents of Al, Zn, or Mn | [41,42] |
Acidic effluents | Abandoned mines in Northern Portugal | Study of two acidophilic algae as ecological indicators of acid mine drainage sites | Optical microscopy based on morphological features | Acidophilic algal colonization was dominated by Euglena mutabilis and Klebsormidium sp. | Spatial distribution of E. mutabilis can be used to qualitatively assess water quality improvements | [43] |
Open-cast lignite mining lakes | Lusatia region, Germany | Determination of the taxonomically diverse algal flora of lignite mining lakes | Phytoplankton standard methods | The planktonic algal flora was generally dominated by flagellates belonging to Chlamydomonas, Ochromonas, Chromulina, Cyathomonas, Lepocinclis, and Euglena mutabilis | Many of the taxa were potentially heterotrophic or phagotrophic, enabling these organisms to augment scarce C and P supplies | [44] |
Acidic lignite pit lakes | Lausitz lignite mining district, Germany | Microcosm experiments on acidity removal through controlled eutrophication | Laboratory microcosm experiments | Gradual adaptation and changes in the phytoplankton population were shown in a lake already contaminated by acid mine drainage | Ochromonas sp. and Chlamydomonas sp. were shown to tolerate a wide range of physical and chemical conditions and were present consistently in the lake | [45] |
Reclaimed coal mine spoils | Brown coal mining district, Czech Republic, and lignite mining district, Germany | Comparison of soil algal communities in two contrasting chronosequences on reclaimed spoils after coal mining | Direct light and epifluorescence microscopy and “growth slide” method | A total of 122 species of algae were found in both areas. Green algae prevailed in both areas, but in the brown coal area, cyanobacteria and diatoms were also quite diverse. The total abundance of algae ranged mostly from 104–107 cells/g dry soil, and was one order higher in the brown coal area than in the lignite area | Sludge and compost fertilization resulted in the rapid formation of visible algal crusts dominated by Klebsormidium crenulatum | [46] |
Acid mine drainage | Abandoned undergroundcoal mine, USA | Identification of the dominant algae in photosynthetic assemblages observed in acid mine drainage | Microscopic analyses | A diverse range of unicellular microalgae, such as Chlorella, Cylindrocystis, Botryococcus, and Navicula, and several filamentous forms identified as Microspora, Cladophora, and Binuclearia, were recorded | The observed high algal diversity may be related to the long duration of acid mine drainage flow at the site, which has led to the development of adapted algal communities | [47] |
Bacteria | Coal | Biodegradation | Ref. | |||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Strains | Source of Isolation | Criteria of Selection | Study Type | Type | Origin | Composition (Proximate/Ultimate), % | Mechanism | Rate | Product/Process Characterization | Remarks | Significance | |
Bacillus mycoides CSB25, Microbacterium sp. CSB3, Acinetobacter sp. CSB13, and Enterobacter aerogenes CSB10 | Coal residues, coal sediment, and rhizosphere | Ability to grow in a medium with powdered coal | LRC solubilization in a solid matrix (1), and LRC biotransformation and HS production in vitro in a liquid medium (2) | Lignite | El Cerrejón opencast mine, Colombia | Humidity—28.44, A—11.12, V—47.79, FC—41.09, Q—4781 Kcal Kg−1. C—46.04, H—3.26, O—42.95, N—1.38, and S—0.13 | BS | LRC biotransformation ranged from 25 to 37%, and HS production ranged from 127–3100 mg L−1 | E4/E6 ratio values were 5.2 for the bio-HA and 4.8 for the chem-HA. In addition, bio-HA showed higher contents of N, C, H, and a lower content of O. IR spectra of bio-HA showed similar qualitative characteristics to those of chem-HA | Supramolecular structure of both HAs had a moderately high molecular weight caused by molecules with high aromatic condensation | Isolates can be used to exploit the LRC and produce HS | [58] |
Bacillus mycoides, Microbacterium sp., and Acinetobacter baumannii | Coal residues, coal sediment, and rhizosphere | Selected based on [58] | Characterization of HAs obtained through the bacterial transformation of LRC | Lignite | El Cerrejón coal mine, Colombia | M—28.44, A—11.12, V—47.79, Q—4781 kcal kg−1, FC—41.09, and S—0.13 | BS | N/A | FTIR, GC-MS, and other analyses revealed that Bio-HA had a lower degree of aromaticity, more of a hydrophilic tendency, lower O content, was enriched with nitrogenated functional groups, and aliphatic polar chains | Bio-HA generated by strains exhibited high structural similarity to each other; however, some differences were evident in the types of metabolites | Concept of supramolecular structures of the HA from LRC was established | [59] |
Pseudomonas sp., Bacillus sp., Trichoderma sp., and Phanerochaete sp. | Soil associated with coal mines, water, and coal | Positive screening tests (indicated as growth on coal agar plates) | Biosolubilization measurement by determining coal weight loss | High volatile C to B bituminous coal | Coal mines (Salt Range at Dulmial Village, Tehsil Choa Saidan Shah, District Chakwal) of Pakistan | A—24.02, S—5.71%, and Q—9043 Btu/lb. | BS and BL | Pseudomonas sp.—25.93%, Bacillus sp.—36.36%, Trichoderma sp.—50%, and Phanerochaete sp.—66.67% in 30 days | UV-vis revealed an increase in the absorbance pattern; FTIR indicated alterations in the structure of coal | Presence of microorganisms and surface erosion of coal residues suggested their ability to survive in coal for a more extended period | Excellent potential for coal solubilization in coal methanogenesis | [60] |
Bacillus sp. Y7 | Weathered lignite minerals | Ability to form a brown halo of solubilized lignite | Biosolubilization of lignite on solid and liquid media | Lignite | Huolingele Minerals Administration Coalmine, China | C—41.30, H—2.70, O—17.95, N—1.04, and S—0.37 | BS | More than 36.77% solubilized in 12 days | Bio-HA was similar to HA extracted by chemical processes from lignite, but had higher N/O and H/C atomic ratios than HA | Lignite solubilization correlated with an increase in pH | Conversion of LRC into value-added products, such as humic acid | [61] |
Bacterial communities with Bacillus licheniformis-related bacteria | Leonardite sample | Isolation from the leonardite with a major source of humic acid | Coal biodegradation study showing alkali production and enzyme reactions | Leonardite | Coal mines in the Provinces of Xinjiang, Inner Mongolia, Shanxi, and Yunnan, China | pH between 2.0 and 7.5, and A between 4.58 and 40.25 | BS | 50% degradation of the leonardite within 21 days | FTIR revealed that the contents of C, O, and aliphatic carbon were similar in Bio-HA and C-HA | Production of Bio-HA had hormone-like bioactivity | Dissolution of leonardite to produce humic acid | [62] |
Microbial community with the most abundant Nitrobacter genus | Surface soil containing small coal pieces | Samples contained microorganisms that had been in contact with coal | Biotransformation study of coal linked to nitrification | Sub-bituminous coal | Lithgow State Coal Mine, Australia | N/A | BT | Carbon fixed into nitrifying biomass constituted ~0.042% of the carbon in coal added to the culture | Hydrocarbons derived from coal were below the detectable limits, but apparently sufficient to sustain the microbial community | Interaction between nitrification and coal biodegradation processes was shown | Products of coal can feed fermentative and methanogenic processes | [63] |
Autochthonous lignite microflora (Firmicutes, Actinobacteria, Proteobacteria, and Bacteroidetes) | Lignite samples | Stimulation of autochthonous microflora in lignite | Biodegradation study under conditions of acidic molasses fermentation | Lignite | Jóźwin IIB opencast mine, Poland | N/A | DC | Lignin contents in the substrate lignite and after biodegradation were equal at 75.0% and 76.1%, respectively | The lignin:cellulose ratio increased from 11 to 13 in lignite after its decay, indicating more intense cellulose biodegradation. The products of cellulose degradation were α- and β-glucose | Phenols, ketones, and certain organic compounds increased during biodegradation | Synergistic interactions between molasses-fermenting and lignite-degrading bacteria are set | [64] |
Streptomyces fulvissimus K59 | Brown coal samples | Ability to grow on coal | Screening of microorganisms to solubilize lignite and study the coal decomposition potential | Brown coal | Tur’ow Mine, Poland | N—0.40, C—55.50, H—6.36, and S—8.53 | BL | Resultant concentration of biosolubilized lignite was 15 times higher as compared with that of crude coal | Pretreatment (nitric acid) caused increased N release (2–3%) with a simultaneous decrease in the C/N ratio (19–33) and a reduction in the S content (0.5 g/kg) | Plackett–Burman screening verified that biosolubilization was dependent on pretreatment, coal concentration, and C source | Allows for the recovery of complex aromatic compounds from LRC | [65] |
Fusarium oxysporum 1101 | Surface water in the area of a lignite mine | Based on preliminary studies | Study on the effect of substrate concentration on biosolubilization | Lignite | Lignite mine in Bełchatów, Poland | N/A | BL | 3 times higher solubilization when the culture medium was supplemented with 5% of lignite than in the medium with 10% | FTIR showed that the relative intensity of the peaks reflected the concentration of functional groups in the solubilization products | Low-molecular-weight products were efficiently released and then polymerized for 8 days, and the content of condensed aromatics decreased | May be an alternative to chemical methods for obtaining HA and other value-added products | [66] |
Bacillus sp. RKB 7 | Coal mining soil | Ability to grow in a medium containing coal | Bacterial culture studies to evaluate the nature of coal-derived substances | Lignites | Oi-Karagay and Lenger coal beds, Kazakhstan | Oi-Karagay lignite: W—7.81, A—11.2, V—36.7, and Q—15,700. Lenger lignite: W—10, A—21.2, V—43, and Q—7300 | BS/BC | 24% of lignite (5% w/v) was solubilized under pH 8.2 within 14 days | UV-vis and elemental analysis indicated that the solubilization products had a lower degree of aromaticity and molecular weight | FTIR analysis revealed various functional groups in the obtained biosolubilization products | Can contribute to a deeper understanding of microbe–mineral interactions in coal environments | [67] |
Bacillus sp. RKB 2 | Coal mining soil | High ability to grow in a modified mineral medium with lignite | Study on lignite biosolubilization and characterization of its products | Lignite | Oi-Karagay coal deposit, Kazakhstan | W—7.8, A—12.0, V—35.8, C—74.1, H—4.7, S—0.1, O—19.7, and N—1.4 | BS | Almost 26% of crude lignite (5% w/v) within 12 days | FTIR showed the diverse nature of the bacteria-induced humic substances. LC-MS was consistent with the types of compounds that were indicated by FTIR | Protein-like and fatty acid substances were one of the factors that triggered lignite biosolubilization | May be helpful in coalbeds for in situ bioutilization of low-rank coal | [68] |
Pseudomonas mendocina B6-1 | Coal samples | Indigenous to the coal | Experimental study on the demineralization of coal with the bacterial strain | Coals rich in inertinite group of macerals | Rajmahal Gondwana basin, India | M—2.39, A—29.89, V—34.11, and FC—31.30 | DM | Reduction in the ash content (>5%) was achieved, and variable degrees of removal of Mn, Na, and Fe were noticed | Atomic absorption spectrophotometer revealed that As, Cd, Cu, Ni, Zn, Cr, Co, and Pb were removed | Elements such as Ni, Zn, Cr, and Cu maintained a robust negative correlation with the ash removal percentage | Could be an important tool for the beneficiation of coal to obtain clean fuel | [69] |
Pseudomonas mendocina B6-1 | Coal samples | Based on [69] | Demineralization of coal with the bacterial strain and characterization of its signatures | Coals rich in inertinite group of macerals | Rajmahal Gondwana basin, India | Referred to [69] | DM | Decrease in H (av. 3.3%), O (av. 18.96%), S (av. 13.23%), M (av. 11.61%), and A (av. 4.48%) | XRD revealed the reduction of the pyrite phase, and FTIR indicated shifting of the absorption peaks compared with the control | There was a shifting of most absorption peaks of the clay minerals, which was due to bacterial action | Coal beneficiation with bacteria to remove its environmentally sensitive elements | [70] |
Pseudomonas stutzeri BHU | Formation water of a coalbed | Ability to grow in mineral salt medium with coal | Study on the coal-induced biosurfactant production | Lignite, bituminous, and anthracite | N/A | N/A | BS | When the three types of coal were used, lignite was maximally solubilized after 7 days | Hemolytic test, bacterial growth inhibition, and FTIR analysis showed the rhamnolipid nature of the biosurfactant | P. stutzeri produced more biosurfactant with lignite than bituminous or anthracite | May be useful in coalbeds for the in situ biotransformation of coal into methane | [71] |
Chelatococcus strains | Formation water of a coalbed | Capable of growing on coal agar medium | Characterization of isolates to solubilize coal as a sole source of C for their growth | LRC | N/A | N/A | BS | Increase in absorbance at 450 nm and browning of the culture supernatant was observed | In a preliminary characterization, isolates provide emulsifiers (surfactants) to other bacteria that carry out coal degradation | Isolates showed higher growth in the medium with 5% coal compared with the medium without coal | Advantageous to convert sedimentary rocks into valuable products | [72] |
Microbial consortia | Coal tailing water mixed with fresh cow dung | Based on a literature review | Investigation of reject coal conversion into humic substances | LRC | Jamshedpur, India | A—78 | BD | N/A | FTIR spectra results showed a predominance of OH, COOH, and COO groups in HA-like compounds | Isolates were able to change and modify the macromolecular structure of reject coal | Beneficiation of rejected coal and production of value-added products | [73] |
Cupriavidus necator SLA2, Pseudomonas putida SLA 32, and Alcaligenes sp. SLB16 | Sludge enriched with coal | Ability to degrade aromatic compounds | Screening of microorganisms based on their coal-degrading activities | LRC | Untreated Indonesian coal provided by the Korea Institute of Energy Research, South Korea | M—17.36, V—43.19, A—6.75, and FC—32.88 | BS | 1.84% after 96 h for C. necator SLA2 | Laccase-like activity was found in the strains when tested for RBBR dye degradation, which represented the aromatic structures present in coal | Strains were also able to increase the pH of the culture media as a response to the acidic nature of coal | Potential for the development of the biological treatment process of coal | [5] |
Citrobacter sp. ECCN 19b, Bacillus sp. ECCN 41b, Escherichia sp. ECCN 25b, and Bacillus sp. ECCN 26b | Slurries of coal tailings and grass root zone on coal discard dumps | Screened for coal degradation ability in a coal medium | Study on the isolation and characterization of novel coal-degrading bacterial strains | Bituminous coal discard (1) and leonardite (2) | Emalahleni coal fields (1) and No. 2 Seam (2), South Africa | (1): M—8, A—35, V—39, FC—18, S—0.2.(2): M—4, A—40, V—49, FC—7, and S—0.2 | BD | Citrobacter sp. ECCN 19b was able to grow and proliferate on both coals; A600: ~1.1 (1) and ~1.2 (2) in 20 days | Shift in pH and associated media coloration with the formation of HS, which FTIR confirmed | Preferential metabolism of alkanes from coal provided bacterial growth | Potential for the transformation of coal discard to HS | [57] |
Fungi | Coal | Biodegradation | Ref. | |||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Strains | Source of Isolation | Criteria of Selection | Study Type | Type | Origin | Composition (Proximate/Ultimate), % | Mechanism | Rate | Product/Process Characterization | Remarks | Significance | |
Hypocrea lixii AH | Decaying wood from mine environment | Selected based on [77] | Characterization of newly isolated lignite liquefying fungus and liquefaction products | Lignite | Fushun coal mine, China | C—74.43, H—5.26, N—1.31, S—0.49, and O—18.51 | BL | As the lignite density was lower than 1.3 kg/L, its bioliquefaction reached 44.86% by weight | UV-Vis showed that the main components of bio-liquefied lignite (black liquid) were phenol derivatives, ketones, and aldehydes | GC-MS revealed 16 high-concentration compounds in black liquid, of which 11 belonged to aromatic acids or ethers | Advantageous to understand the nature of bioliquefied lignite products | [78] |
Hypocrea lixii AH | Decaying wood from mine environment | Selected based on [78] | Quantitative measurement of coal biosolubilization | LRC | West Open Coal Mine, China | C—76.7, H—5.4, N—1.3, S—0.6, and O—16.0 | BS | Highest correlation coefficient (0.995) between UV-Vis and coal bio-solubilization ratios at 513 nm | IR and UV-Vis results showed that Bio-HA and C-HA contained conjugated double bonds and aromatic ring structures | Modified UV-Vis method was developed for accurate measurement | May help the conversion kinetics by monitoring biosolubilization ratios | [79] |
Fungal isolates (unidentified) | Soil sample from coal mine, decaying wood, and decaying leaves | Black liquid production corresponding to the fungus’ capability to solubilize lignite | The biosolubilzsation by estimating the liquid formation time and the weight loss of the lignite | Lignite | Fushun coal mine, China | C—76.7, H—5.4, N—1.3, S—0.6, and O—16.0 | BL/BS | Nitric acid pretreatment caused 31.83% (by weight) within 11 days | Products contained aromatic acids and chain hydrocarbons, and had organic function groups of hydroxyl, cyclane, carbonyl, ether linkages, and aromatic rings | Chemical analysis indicated that side chains of lignite were important structures in the biosolubilization mechanism. | Promising coal processing technology for converting solid coal to liquid oil | [77] |
Pleurotus djamor, Pleurotus citrinopileatus, and Agpergillus sp. | Lignite sample and rotten wood | Ability to depolymerize LRC in minimal nutrient medium | Investigation of the optimization of LRC biodepolymerization | Lignite, bituminous, and sub-bituminous coal | Neyveli, Madhuband, and Meghalya coal mines, India | Neyveli lignite: M—8.7, MM—6.1, V—46.6, FC—38.6, C—62.0, H—5.3, S—1.4, N—0.9, and O—30.4 | BDP | Pleurotus djamor was the most efficient strain to depolymerize Neyveli lignite in comparison with the other organisms | N/A | Addition of carbon sources (sucrose, raffinose, and fructose) resulted in higher depolymerization of lignite | Coal biodepolymerization can be an alternative process for the utilization of LRC | [80] |
Trichoderma atroviride | Lignite sample | Ability to synthesize extracellular enzymes to degrade lignite structure | Evidence for the involvement of hydrolytic and oxidative enzymes in biosolubilization | Lignite | Bergheim mine, Germany | Lithotype A | BS | Carboxylic esters and the phenolic ether bonds were cleaved by T. atroviride (esterases and oxidative enzymes) | Enzymes to degrade different bonds in coal were recorded with 14C-alkyl iodide | Lignite induced the synthesis of a specific enzyme, but no direct solubilization was involved | Direct evidence to link lignite structure degradation to enzymatic attack | [81] |
Penicillium decumbens P6 | Coal mine soil | Ability to form black droplets of lignite on plate culture | Solid-state and liquid fermentation studies to degrade coal | Lignite | Huolingele Minerals Administration Coalmine, China | C—40.32, H—4.82, S—1.25, N—4.69, and O—31.12 | BD/BS | Degradation in 36 h (plate colony) and in 48 h (cell-free filtrate) | IR spectrometry and elemental analysis indicated that solubilized products displayed minor alterations to original lignite | Fulvic acid amount was high, and the molecular distribution of humic acids changed distinctively | Effective lignite degradation to produce fulvic acid | [82,83] |
Penicillium decumbens P6 | Coal mine soil | Based on the possible role of esterase from P6 isolate in depolymerizing lignite | Study to prove the roles of esterase in the enzymatic attack on lignite | Lignite | Huolingele Minerals Administration Coalmine, China | Referred to [84] | BDP | Contribution of esterase to depolymerization was about 40% in the crude supernatant | Compared with C-HA, Bio-HA had a lower percentage of aromatic carbon and ester groups, but a higher percentage of aliphatic carbon | Bio-HA promoted the growth of asparagus lettuce | Potential of esterase application in the conversion of lignite into highly bioactive compounds | [85] |
Rhizopus oryzae AD-1 | LRC sample | Isolation from coal environment and a greater capability of coal biosolubilization | The study on solubilization extension and optimization for LRC degradation | LRC | Deep coal mine in Qasam Khel, Pakistan | C—35.34, H—2.57, N—0.73, S—0.41, O—17.58, A—43.37, and Q—18,473 kJ/kg | BS/BDP | 22.3% biosolubilization in the case of 0.1 mm-coal on day 5, and 36.8% at day 9 without any chemical pre-treatment | Decarboxylation, Deamination, and breaking down the side chain of the coal aromatic rings to produce a variety of aliphatic, cyclic, nitrogenous, and aromatics compounds | Coal degradation showed a substantial release of organics at 1.5% glucose and 0.5% coal loading ratio within 11 days | Can serve as a biological beneficiation of coal for alternative substances | [86] |
Hypocrea lixii TZ1 | Oxidized lignite sample | Ability to utilize coal as carbon and energy sources and solubilize solid coal particles | Biological characteristics of the fungal strain and its role in lignite bioconversion | Oxidized lignite | Fushunxi colliery, China | N/A | BC | About 23.3% | Chemical composition of lignite varied significantly when treated by strain TZ1 | Complicated chemical bonds (carboxyl and hydroxyl groups) of lignite were broken by metabolites secreted by TZ1 | Could play an important role in the degradation of Chinese lignite | [87] |
Penicillium chrysogenum MW1 | Core sample of sub-bituminous coal | Indigenous to the coal environment | Optimization studies on structural biodegradation of lignite | LRC | Thar coalfield, Pakistan | Huminite—77.3, liptinite—8.4, inertinite—2.6, and minerals—11.7 | BD | Organics released with 0.1% glucose concentration and 1% coal after 7 days | Analytical investigations revealed the release of complex organics (polyaromatic hydrocarbons) | With increasing rank of coal, aromatic condensation increased, contributing to the unruly nature of higher-rank coals | Can help in exploiting the chemical feedstock status of coal | [88] |
Penicillium chrysogenum MW1 | Core sample of sub-bituminous coal | Indigenous to the coal environment | Coal bio-pretreatment study to make coal a suitable substrate for biological beneficiation | LRCs | Coal areas in Sindh Province, Pakistan | 80 vol.% content of huminite/vitrinite | BD | After 7 days of incubation, coal particles were trapped in fungal mycelia, releasing organics | EEMS indicated the release of complex organic functionalities, and GC-MS analysis confirmed the presence of single ring aromatics, PAHs, aromatic nitrogen compounds, and aliphatics | MW1 liberated complex organic compounds from coal matrix | Can help in taking advantage of LRC reserves by converting them into alternative fuels | [74] |
Penicillium sp. P6 | Coal–soil mixture | Selected based on [82] | Characterization of lignite bio-HA and water-soluble HA | Lignite | Huolingele Minerals Administration Coalmine, China | Lignite HA: C—56.1, H—3.7, N—1.5, O—38.0, S—0.6, and A—0.1 | BD | Contents of HA increased from 38.6% to 55.1% and water-soluble HA from 4.0% to 28.2% | Size-exclusion chromatography and elemental analysis revealed that the N content of Bio-HA increased by 47.36% compared with that of C-HA | After biotransformation, the molecular mass of the HA decreased, while the oxygen and nitrogen content increased | Products of lignite biodegradation had better bioactivity | [84] |
Penicillium sp. P6 | Coal–soil mixture | Based on [84] | Evaluation of the factors responsible for the increased level of N in HAs | Lignite | Huolingele Minerals Administration Coalmine, China | Lignite HA: C—56.1, H—3.7, N—1.5, O—38.0, S—0.6, and A—0.1 | BD | Bio-HA in the lignite increased from 38.6% to 53.2%, depending on the ammonium sulfate concentration | CP/MAS analysis showed that the N incorporated in HA during biotransformation was in the form of free or ionized NH2-groups in amino acids and sugars | Amount of N incorporated in Bio-HA was related to that present in the medium | High-N-content Bio-HA has potential applications in agriculture | [89] |
Hypocrea lixii WF8 | Decaying wood around coal mines | Capable of using lignite as the sole energy source on the selective media | Biodepolymerization studies on obtaining lignite extracts (E1-E5) | Lignite | Shengli coal mine, China. | M—13.74, A—7.51, V—46.40, Q—12.68 kJ/g. C—70.84, H—5.05, and N—0.88 | BDP | Maximal rate was ~35% for E1 | Phenoxy moiety in E1 after biodepolimerization was significantly reduced (FTIR), while 3-phenylbutan-2-ol and 2-methyl-7-phenyl-1H-indole were produced (GC-MS) | E1 was recognized to be rich in HAs soluble in alkaline solution, but precipitable in acid solution | Understanding the role of ligninolytic enzymes in lignite extracts | [90] |
Trichoderma atroviride CBS 349 | Opencast coal mining area | Screened for its coal-liquefying properties | Biosolubilization study in a new type of bioreactor for solid-substrate fermentation | Lignite | From Rheinbraun AG, Germany | Lithotype A | FE | Over 40 days, 140 g of 1.5 kg of lignite held in a 25 L bioreactor was solubilized | The solubilized fraction consisted of approx. 70% HA and 30% FA-like compounds | Airmix II bioreactor (solid substrate fermentation) was effective for lignite solubilization | Devised bioreactor for lignite fermentation to produce HA and FA | [91] |
Aspergillus fumigatus MTCC 4334 | Soil samples collected from lignite mines | Capability to utilize the complex organic matter of lignite in Czepek dox medium | Investigations of lignite biosolubilization into HA by a few fungal species | Lignite | Neyveli lignite, India | M—16.7, A—11.6, V—38.7, FC—33.0.C—48.5, H—5.27, N—0.54, S—0.45, and O—28.54 | BS | 22.3% w/w solubilization after 45 days | Initial pH of the medium decreased with an increase in solubilization, possibly due to the production of acidic metabolites | Solubilization became constant when the lignite surface area was clogged/blocked by the cell debris | Offers an environmentally friendly and cost-effective process for HA production | [92] |
Fusarium oxysporum LOCK 1134 | Brown coal | Ability to convert solid brown coal into dark liquid droplets | Heterologous expression of laccase and its brown coal solubilization assessment | Brown coal | Bełchatów brown coal mine, Poland | C—46.23, H—5.38, O—32.40, N—0.30, S—0.84, A—14.8, and Q—18.0 Mj/kg. | BS | Amount of Bio-HA reached 1474 mg/g in culture supernatant | Elemental analysis suggested that isolate metabolized the C from coal—the amount of C decreased from 44 to 32% | F. oxysporum laccase was expressed in Pichia pastoris, which contributed to HA and FA release from liquefied coal | Obtained HA may have stimulating effects on crop growth | [93] |
Neosartorya fischeri | Plant rhizosphere from coal dumps | Occurrence in the root zone in a coal environment | Biodegradation of hard coal in a flask and in a perfusion fixed-bed bioreactor | Hard coal | Witbank coal-producing area, South Africa | N/A | BD | Mycelia engulfment within 3 days on untreated hard coal | FTIR and GC-MS indicated oxidation of the coal surface and nitration of the condensed aromatic structures of the coal macromolecule | Biodegradation may also progress by the insertion of nitrogen groups into the condensed coal aromatic structure | May enable the development of sustainable technologies in coal mine rehabilitation | [94] |
Neosartorya fischeri ECCN 84 | Waste coal dumps | Based on [94] | Study on fungal colonization and enzyme-mediated metabolism of waste coal | LRC | Coal mines in Emalahleni (Witbank), South Africa | C—10.3 ± 2.0 mg kg−1, A—55.5 ± 0.3%, and Q—8–10 MJ kg−1 | ED | Colonization of coal by the strain was associated with the formation of compact spherical pellets for 20 days | XRS of pellets showed a time-dependent decline in the weight percentage of elemental carbon and an increase in elemental oxygen | Proliferation of peroxisomes in hyphae attached to coal and increased extracellular laccase activity occurred | Supports a role of oxidative enzyme action in the biodegradation of coal | [95] |
Coal Area | Plant/Rhizosphere | Study Type | Microbial Community Analysis | Results | Significance | Ref. |
---|---|---|---|---|---|---|
Coal mining ecosystem | Tree species rhizosphere | Inventory of rhizosphere microbial processes of most of the inhabitant tree species of coal mining ecosystems | Microbial biomass carbon, soil enzyme activities, and basal soil respiration | Among the tree species studied, Aegle marmelos recorded the highest values for MBC (590 mg kg−1) and BSR/AMBC (0.498 mg CO2-C mg biomass−1 day−1) | Tree species had diverse effects on their rhizosphere, which could determine their survival and performance. Tree species could be recommended for re-vegetation | [128] |
Coal mining area | Tetraena mongolica rhizosphere | Investigation of the effect of soil bacterial diversity near T. mongolica and its response to open-pit mining | Microbial community analysis via 16S rRNA profiling | Relative abundance of Actinobacteria, Proteobacteria, and Gemmatimonadetes increased, while the abundance of Acidobacteria, Planctomycetes, Bacteroidetes, and Chloroflexi decreased | Organic pollutant-degrading bacteria, such as Sphingomonas, Gemmatimonas, Nocardioides, and Gaiella, were enriched in the soil, and the carbon–nitrogen cycle was changed | [129] |
Opencast mine | Brushland, forestland, grassland, and unreclaimed land | Determination of the diversity and structure of soil bacterial communities under different vegetation restorations | Microbial community analysis via 16S rRNA profiling | Vegetation restoration on the reconstructed soil in the mining area could significantly improve the OTUs, abundance (ACE and Chao1), and diversity (Shannon and Simpson) indices of the bacterial community, and the dominant phyla were Proteobacteria, Actinobacteria, and Acidobacteria | Since the brushland soil had better biochemical properties and higher bacterial richness and diversity, it was recommended as the optimum vegetation restoration type for soil reclamation in this area. | [130] |
Coal gangue soil | Shallow (10 cm), middle (50 cm), and deep (100 cm) rhizospheres | Exploration of C. korshinskii in the restoration of coal gangue soil and the impact of the rhizosphere on soil micro-ecology ten years after planting | High-throughput sequencing and microbial diversity analysis using metabolome and ionomics technology | Microbial abundance increased by 8.5%, 25.0%, and 15.2% in the shallow, middle, and deep levels, respectively. S, Fe, Mn, lipids, organic acids, and oxygen compound metabolites drove Acidthiobacillus, Sulfurifustis, Deferrobacterium, Pseudomonas, and Sphingomonas to become dominant strains | Rhizosphere of C. korshinskii promoted the accumulation of remediation bacteria and accelerated the transformation and utilization of heavy metals and the process of soil remediation | [131] |
Coal-discard rehabilitation sites | Discard sites vegetated with a grass seed mixture | Evaluation of the relationship between the microbial community structure, vegetation cover, and topsoil covers | PLFA | Positive association was observed between microbial biomass and the vegetation cover, organic carbon, ammonium, nitrate, and phosphorus contents | When analyzing environmental variables, including topsoil covers, the microbial community structure may be a valuable tool to assess the state of coal discard dumps under rehabilitation | [132] |
Coal mine spoil heaps | Vegetation plots with various plant species | Investigation of the relationships between the plant species composition and the associated microbial properties during the process of vegetation | PLFA | Total microbial biomass in soils from the older vegetation plots was significantly higher than that in soils from the younger plots; the microbial communities consisted primarily of bacteria with the dominance of Gram-negative bacteria over Gram-positive | A strong correlation was revealed between vegetation and microbial community structure on hard coal spoil heaps | [133] |
Coal mining area | Grassland, brushland, coniferous forest, and broadleaf forest | Understanding of soil microbial community functions and adaptability in mining areas | Microbial community analysis via 16S rRNA and ITS rRNA profiling | Different vegetation reconstruction modes did not affect the bacterial functional communities, but shaped different functional groups of fungi. The grassland soil was dominated by saprotrophic fungi, while symbiotrophic fungi dominated the coniferous and broadleaf forests | Findings improve the understanding of microbial ecology in reclaimed mine soil and provide a reference for the ecological restoration of fragile mining ecosystems | [134] |
Coal mine spoils | Vegetated by Medicago sativa, Trifolium repens, and Lolium perenne | Investigation of the response of microbial communities to land reclamation | PCR-based 454 pyrosequencing | Gramineae and leguminosae herbage broadly enhanced soil geochemical characteristics and microbial diversity, representing an ideal solution for soil rehabilitation | Positive impacts of reclamation on soil microbial diversity were achieved; the most critical phase of microbial community recovery occurred between 15 and 20 years | [135] |
Coal mining subsidence area | Transplanted tree species | Study of the diversity and dynamics of soil AMF in coal mining subsidence areas before and after artificially planting trees | MiSeq high-throughput sequencing | Seven genera of AMF (trees’ rhizosphere) were identified with the following abundances: Glomus (59.83–92.57%), Scutellospora (0.59–7.1%), Diversispora (0.59–32.73%), and others (0–0.05%). The morphological/molecular diversities in the undisturbed area were significantly higher than those in post-mining naturally restoring area | Subsidence showed positive effects on soil quality, and the trees improved the soil characteristics and increased the soil AMF diversity | [136] |
Coal gangue | Cajanus cajan (pigeon pea) root system | Evaluation of the reclamation base of coal gangue and the analysis of the microbial diversity of the soil of reclaimed plants | MiSeq high-throughput sequencing | Dominant microflora were changed in the soil after cultivating C. cajan. Before cultivation, Sulfobacteria and Acidobacteria were dominant; after cultivation, Actinobacteria, Acidimicubia, Thermoleophilia, and Anaerolineae were dominant | Study proposes a reference for interactions among microorganisms in reclaimed soils for the restoration of waste coal gangue hills | [137] |
Coal discard sites | Grass seed mixture | Determination of whether microbial enumeration techniques could differentiate discard sites of varying rehabilitation ages | Signature lipid biomarkers (PLFAs) and enzymatic assays | Sites with relatively higher vegetation cover and organic carbon content were positively associated with enzymatic activities and microbial biomass. Although the discard sites had different rehabilitation ages, no statistically significant differences existed | Characterization of microbial community function and structure holds potential for evaluating rehabilitation progress on mine discard sites | [138] |
Coal gangue landfill | Soybean and maize rotation systems | Study of the microbial carbon metabolism function of the plant rhizosphere and non-rhizosphere soil | Biolog-EcoPlate technology | Microbial activity in the rhizosphere of plants was higher compared with that in non-rhizosphere soil, and the functional diversity of the rhizosphere microbial community was higher than those of the non-rhizosphere microbial community | Due to the changes in environmental factors in the plant growing seasons, rhizosphere and non-rhizosphere microbial composition may vary | [139] |
Coal mine spoil | Succession planting (Acacia holosericea, A. simsii, and A. harpophylla) | Investigation of the functional diversity of the soil microbial community of a revegetated coal mine spoil exposed to the agronomic practices | Biolog-EcoPlate technology | Higher metabolic activity and functional diversity of the bacterial community in the succession planting treatment as compared with other treatments | Succession planting should be used as an important component in mine site revegetation programs | [140] |
Coal mine spoil | Tree species (A. Auriculiformis, Albizia lebbeck, Cassia siamea, Delonix regia, and Dalbergia sissoo) | Evaluation of the effect of the tree species on the rhizosphere soil properties and identification of the key rhizosphere soil indicators that influence tree biomass | Standard protocols for the determination of total soil carbon, labile carbon, and microbial biomass carbon | Tree carbon density was significantly higher for D. sissoo (43.7 kg C/tree), followed by A. auriculiformis (39.58 kg C/tree), D. regia (36.3), and C. siamea (34.79). Total carbon was lower in all rhizosphere soils, except for C. siamea | Integrated carbon accumulation index and rhizosphere N could be considered indicators for carbon sequestration in reclaimed mine spoils | [141] |
Coal mining soils | Brachiaria decumbens | Evaluation of the response of rhizobacterial communities associated with B. decumbens under the reclamation of coal mining soils amended with biochar | Ion torrent DNA sequencing | Application of biochar influenced the relative abundances of functional groups in the rhizosphere, including the Sphingomonadacea, Rhodospirillaceae, and Hyphomicrobiaceae families belonging to the Proteobacteria | Differences observed in the rhizobacterial community structure and abundance were related to the biochar amendment and its effect over time | [142] |
Coal mining subsidence land | Sesamum indicum, Glycine max, Medicago sativa, Sorghum sudanense, and Zea mays | Investigation of the relationship between soil microbes and vegetation species in a reclamation area on coal mining subsidence land | Microbial community analysis via 16S rDNA | Significant growth-related dynamic changes in the microbial community structure were mainly associated with the Proteobacteria, Actinobacteria, and Firmicutes, which accounted for 29.69%, 13.93%, and 12.51% of the total bacterial sequences, respectively | Vegetation can improve the soil nutrient, enzyme activities, and microorganisms in the surface soil of the reclamation area and remit subsidence area with soil alkalinization | [143] |
Spoil from the brown coal mine area | Tussilago farfara | Characterization of the rhizosphere’s effect on the bacterial community of Tussilago farfara colonizing the mine spoil | PLFA and NLFA | Plant roots significantly increased microbial diversity and biomass after cultivation. The rhizosphere of Tussilago farfara had Bradyrhizobium japonicum, Rhizobium radiobacter (bacterial nitrogen fixators), and arbuscular mycorrhizal fungi | Roots affected the microbial community and had a larger size and higher growth than the control | [144] |
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Akimbekov, N.S.; Digel, I.; Tastambek, K.T.; Marat, A.K.; Turaliyeva, M.A.; Kaiyrmanova, G.K. Biotechnology of Microorganisms from Coal Environments: From Environmental Remediation to Energy Production. Biology 2022, 11, 1306. https://doi.org/10.3390/biology11091306
Akimbekov NS, Digel I, Tastambek KT, Marat AK, Turaliyeva MA, Kaiyrmanova GK. Biotechnology of Microorganisms from Coal Environments: From Environmental Remediation to Energy Production. Biology. 2022; 11(9):1306. https://doi.org/10.3390/biology11091306
Chicago/Turabian StyleAkimbekov, Nuraly S., Ilya Digel, Kuanysh T. Tastambek, Adel K. Marat, Moldir A. Turaliyeva, and Gulzhan K. Kaiyrmanova. 2022. "Biotechnology of Microorganisms from Coal Environments: From Environmental Remediation to Energy Production" Biology 11, no. 9: 1306. https://doi.org/10.3390/biology11091306
APA StyleAkimbekov, N. S., Digel, I., Tastambek, K. T., Marat, A. K., Turaliyeva, M. A., & Kaiyrmanova, G. K. (2022). Biotechnology of Microorganisms from Coal Environments: From Environmental Remediation to Energy Production. Biology, 11(9), 1306. https://doi.org/10.3390/biology11091306