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Microbial community diversity and potential functionality in response to dam construction along the Three Gorge Reservoir, China
River and reservoir bacterial communities are the most basic part of river biomes and ecosystem structure, and play an important role in river biological processes. Yet, it remains unclear how highly regulated dam reservoirs affect both soil and sediment bacterial communities. A temporal distributio...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10547884/ https://www.ncbi.nlm.nih.gov/pubmed/37799598 http://dx.doi.org/10.3389/fmicb.2023.1218806 |
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author | Wang, Huan Yan, Bin Wu, Yan Yin, Maoyun Wang, Maoqing Fu, Chuan |
author_facet | Wang, Huan Yan, Bin Wu, Yan Yin, Maoyun Wang, Maoqing Fu, Chuan |
author_sort | Wang, Huan |
collection | PubMed |
description | River and reservoir bacterial communities are the most basic part of river biomes and ecosystem structure, and play an important role in river biological processes. Yet, it remains unclear how highly regulated dam reservoirs affect both soil and sediment bacterial communities. A temporal distribution pattern of bacterial communities was investigated using Illumina MiSeq sequencing in a transition section of the Three Gorges Reservoir (TGR). In total, 106,682 features belong to the bacteria kingdom, encompassing 95 phyla, 228 classes, 514 orders, 871 families, 1959 genera, and 3,053 species. With water level regulation, Shannon diversity index, and observed species differed significantly, with no significant difference in Simpson evenness. Both in the high water level period (October) and the low water level period (June), Proteobacteria, Acidobacteri, and Chloroflexi were the most abundant phyla. Whereas, based on PCA plots and Circos plot, the microbial community structure has changed significantly. LEfSe method was used to identify the classified bacterial taxa with significant abundance differences between the low water level and high water level periods. KOs (KEGG Orthology) pathway enrichment analysis were conducted to investigate functional and related metabolic pathways in groups. To some extent, it can be inferred that water level regulation affects community growth by affecting the metabolism of the microbial community. |
format | Online Article Text |
id | pubmed-10547884 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-105478842023-10-05 Microbial community diversity and potential functionality in response to dam construction along the Three Gorge Reservoir, China Wang, Huan Yan, Bin Wu, Yan Yin, Maoyun Wang, Maoqing Fu, Chuan Front Microbiol Microbiology River and reservoir bacterial communities are the most basic part of river biomes and ecosystem structure, and play an important role in river biological processes. Yet, it remains unclear how highly regulated dam reservoirs affect both soil and sediment bacterial communities. A temporal distribution pattern of bacterial communities was investigated using Illumina MiSeq sequencing in a transition section of the Three Gorges Reservoir (TGR). In total, 106,682 features belong to the bacteria kingdom, encompassing 95 phyla, 228 classes, 514 orders, 871 families, 1959 genera, and 3,053 species. With water level regulation, Shannon diversity index, and observed species differed significantly, with no significant difference in Simpson evenness. Both in the high water level period (October) and the low water level period (June), Proteobacteria, Acidobacteri, and Chloroflexi were the most abundant phyla. Whereas, based on PCA plots and Circos plot, the microbial community structure has changed significantly. LEfSe method was used to identify the classified bacterial taxa with significant abundance differences between the low water level and high water level periods. KOs (KEGG Orthology) pathway enrichment analysis were conducted to investigate functional and related metabolic pathways in groups. To some extent, it can be inferred that water level regulation affects community growth by affecting the metabolism of the microbial community. Frontiers Media S.A. 2023-09-20 /pmc/articles/PMC10547884/ /pubmed/37799598 http://dx.doi.org/10.3389/fmicb.2023.1218806 Text en Copyright © 2023 Wang, Yan, Wu, Yin, Wang and Fu. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Microbiology Wang, Huan Yan, Bin Wu, Yan Yin, Maoyun Wang, Maoqing Fu, Chuan Microbial community diversity and potential functionality in response to dam construction along the Three Gorge Reservoir, China |
title | Microbial community diversity and potential functionality in response to dam construction along the Three Gorge Reservoir, China |
title_full | Microbial community diversity and potential functionality in response to dam construction along the Three Gorge Reservoir, China |
title_fullStr | Microbial community diversity and potential functionality in response to dam construction along the Three Gorge Reservoir, China |
title_full_unstemmed | Microbial community diversity and potential functionality in response to dam construction along the Three Gorge Reservoir, China |
title_short | Microbial community diversity and potential functionality in response to dam construction along the Three Gorge Reservoir, China |
title_sort | microbial community diversity and potential functionality in response to dam construction along the three gorge reservoir, china |
topic | Microbiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10547884/ https://www.ncbi.nlm.nih.gov/pubmed/37799598 http://dx.doi.org/10.3389/fmicb.2023.1218806 |
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