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Distribution Characteristics of C–N–S Microorganism Genes in Different Hydraulic Zones of High-Rank Coal Reservoirs in Southern Qinshui Basin
[Image: see text] Microbial decomposition of carbon and biogenic methane in coal is one of the most important issues in CBM exploration. Using metagenomic technologies, the microbial C–N–S functional genes in different hydraulic zones of high-rank coal reservoirs were systematically studied, demonst...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8387991/ https://www.ncbi.nlm.nih.gov/pubmed/34471743 http://dx.doi.org/10.1021/acsomega.1c02169 |
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author | Shi, Wei Tang, Shuheng Huang, Wenhui Zhang, Songhang Li, Zhongcheng |
author_facet | Shi, Wei Tang, Shuheng Huang, Wenhui Zhang, Songhang Li, Zhongcheng |
author_sort | Shi, Wei |
collection | PubMed |
description | [Image: see text] Microbial decomposition of carbon and biogenic methane in coal is one of the most important issues in CBM exploration. Using metagenomic technologies, the microbial C–N–S functional genes in different hydraulic zones of high-rank coal reservoirs were systematically studied, demonstrating the high sensitivity of this ecosystem to hydrodynamic conditions. The results show that the hydrodynamic strength of coal reservoir #3 in the Shizhuangnan block gradually weakened from east to west, forming a transitional feature from a runoff area to a stagnant area. Compared with runoff areas, stagnant areas have higher reservoir pressure, gas content, and ion concentrations. The relative abundance of genes associated with C, N, and S cycling increased from the runoff area to the stagnant area, including cellulose-degrading genes (e.g., cellulose 1,4-beta-cellobiosidase), methane metabolism genes (e.g., mcr, fwd, mtd, mer, and mtr), N-cycling genes (e.g., nifDKH, amoB, narGHI, napAB, nirK, norC, and nosZ), and S-cycling genes (e.g., dsrAB, sir, cysN, sat, aprAB, and PAPSS). This indicates that the stagnant zone had a more active microbial C–N–S cycle. The machine learning model shows that these significantly different genes could be used as effective indices to distinguish runoff and stagnant areas. Carbon and hydrogen isotopes indicate that methane in the study area was thermally generated. Methanogens compete with anaerobic heterotrophic bacteria to metabolize limited substrates, resulting in a low abundance of methanogens. In addition, the existence of methane-oxidizing bacteria suggests that biogenic methane was consumed by methanotrophic bacteria, which is the main reason why biogenic methane in the study area was not effectively preserved. In addition, weakened hydrodynamic conditions increased genes involved in nutrient cycling, including organic matter decomposition, methanogenesis, denitrification, and sulfate reduction, which contributed to the increase in CO(2) and consumption of sulfate and nitrate from runoff areas to stagnant areas. |
format | Online Article Text |
id | pubmed-8387991 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-83879912021-08-31 Distribution Characteristics of C–N–S Microorganism Genes in Different Hydraulic Zones of High-Rank Coal Reservoirs in Southern Qinshui Basin Shi, Wei Tang, Shuheng Huang, Wenhui Zhang, Songhang Li, Zhongcheng ACS Omega [Image: see text] Microbial decomposition of carbon and biogenic methane in coal is one of the most important issues in CBM exploration. Using metagenomic technologies, the microbial C–N–S functional genes in different hydraulic zones of high-rank coal reservoirs were systematically studied, demonstrating the high sensitivity of this ecosystem to hydrodynamic conditions. The results show that the hydrodynamic strength of coal reservoir #3 in the Shizhuangnan block gradually weakened from east to west, forming a transitional feature from a runoff area to a stagnant area. Compared with runoff areas, stagnant areas have higher reservoir pressure, gas content, and ion concentrations. The relative abundance of genes associated with C, N, and S cycling increased from the runoff area to the stagnant area, including cellulose-degrading genes (e.g., cellulose 1,4-beta-cellobiosidase), methane metabolism genes (e.g., mcr, fwd, mtd, mer, and mtr), N-cycling genes (e.g., nifDKH, amoB, narGHI, napAB, nirK, norC, and nosZ), and S-cycling genes (e.g., dsrAB, sir, cysN, sat, aprAB, and PAPSS). This indicates that the stagnant zone had a more active microbial C–N–S cycle. The machine learning model shows that these significantly different genes could be used as effective indices to distinguish runoff and stagnant areas. Carbon and hydrogen isotopes indicate that methane in the study area was thermally generated. Methanogens compete with anaerobic heterotrophic bacteria to metabolize limited substrates, resulting in a low abundance of methanogens. In addition, the existence of methane-oxidizing bacteria suggests that biogenic methane was consumed by methanotrophic bacteria, which is the main reason why biogenic methane in the study area was not effectively preserved. In addition, weakened hydrodynamic conditions increased genes involved in nutrient cycling, including organic matter decomposition, methanogenesis, denitrification, and sulfate reduction, which contributed to the increase in CO(2) and consumption of sulfate and nitrate from runoff areas to stagnant areas. American Chemical Society 2021-08-12 /pmc/articles/PMC8387991/ /pubmed/34471743 http://dx.doi.org/10.1021/acsomega.1c02169 Text en © 2021 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by-nc-nd/4.0/Permits non-commercial access and re-use, provided that author attribution and integrity are maintained; but does not permit creation of adaptations or other derivative works (https://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Shi, Wei Tang, Shuheng Huang, Wenhui Zhang, Songhang Li, Zhongcheng Distribution Characteristics of C–N–S Microorganism Genes in Different Hydraulic Zones of High-Rank Coal Reservoirs in Southern Qinshui Basin |
title | Distribution Characteristics of C–N–S
Microorganism Genes in Different Hydraulic Zones of High-Rank Coal
Reservoirs in Southern Qinshui Basin |
title_full | Distribution Characteristics of C–N–S
Microorganism Genes in Different Hydraulic Zones of High-Rank Coal
Reservoirs in Southern Qinshui Basin |
title_fullStr | Distribution Characteristics of C–N–S
Microorganism Genes in Different Hydraulic Zones of High-Rank Coal
Reservoirs in Southern Qinshui Basin |
title_full_unstemmed | Distribution Characteristics of C–N–S
Microorganism Genes in Different Hydraulic Zones of High-Rank Coal
Reservoirs in Southern Qinshui Basin |
title_short | Distribution Characteristics of C–N–S
Microorganism Genes in Different Hydraulic Zones of High-Rank Coal
Reservoirs in Southern Qinshui Basin |
title_sort | distribution characteristics of c–n–s
microorganism genes in different hydraulic zones of high-rank coal
reservoirs in southern qinshui basin |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8387991/ https://www.ncbi.nlm.nih.gov/pubmed/34471743 http://dx.doi.org/10.1021/acsomega.1c02169 |
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