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Determinants and Assembly Mechanism of Bacterial Community Structure in Ningxia Section of the Yellow River
The Yellow River is a valuable resource in the Ningxia Hui Autonomous Region and plays a vital role in local human activities and biodiversity. Bacteria are a crucial component of river ecosystems, but the driving factors and assembly mechanisms of bacterial community structure in this region remain...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9967387/ https://www.ncbi.nlm.nih.gov/pubmed/36838461 http://dx.doi.org/10.3390/microorganisms11020496 |
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author | Zhao, Rui-Zhi Zhang, Wei-Jiang Zhao, Zeng-Feng Qiu, Xiao-Cong |
author_facet | Zhao, Rui-Zhi Zhang, Wei-Jiang Zhao, Zeng-Feng Qiu, Xiao-Cong |
author_sort | Zhao, Rui-Zhi |
collection | PubMed |
description | The Yellow River is a valuable resource in the Ningxia Hui Autonomous Region and plays a vital role in local human activities and biodiversity. Bacteria are a crucial component of river ecosystems, but the driving factors and assembly mechanisms of bacterial community structure in this region remain unclear. Herein, we documented the bacterial community composition, determinants, co-occurrence pattern, and assembly mechanism for surface water and sediment. In comparison to sediment, the bacterioplankton community showed significant seasonal variation, as well as less diversity and abundance. The network topology parameters indicated that the sediment bacterial network was more stable than water, but the bacterioplankton network had higher connectivity. In this lotic ecosystem, COD(Mn), Chl a, and pH affected the structure of the bacterioplankton community, while TP was the primary factor influencing the structure of the sediment bacterial community. The combined results of the neutral community model and the phylogenetic null model indicate that Bacterial communities in both habitats were mainly affected by stochastic processes, with ecological processes dominated by ecological drift for bacterioplankton and dispersal limitation for sediment bacteria. These results provide essential insights into future research on microbial ecology, environmental monitoring, and classified management in the Ningxia section of the Yellow River. |
format | Online Article Text |
id | pubmed-9967387 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-99673872023-02-26 Determinants and Assembly Mechanism of Bacterial Community Structure in Ningxia Section of the Yellow River Zhao, Rui-Zhi Zhang, Wei-Jiang Zhao, Zeng-Feng Qiu, Xiao-Cong Microorganisms Article The Yellow River is a valuable resource in the Ningxia Hui Autonomous Region and plays a vital role in local human activities and biodiversity. Bacteria are a crucial component of river ecosystems, but the driving factors and assembly mechanisms of bacterial community structure in this region remain unclear. Herein, we documented the bacterial community composition, determinants, co-occurrence pattern, and assembly mechanism for surface water and sediment. In comparison to sediment, the bacterioplankton community showed significant seasonal variation, as well as less diversity and abundance. The network topology parameters indicated that the sediment bacterial network was more stable than water, but the bacterioplankton network had higher connectivity. In this lotic ecosystem, COD(Mn), Chl a, and pH affected the structure of the bacterioplankton community, while TP was the primary factor influencing the structure of the sediment bacterial community. The combined results of the neutral community model and the phylogenetic null model indicate that Bacterial communities in both habitats were mainly affected by stochastic processes, with ecological processes dominated by ecological drift for bacterioplankton and dispersal limitation for sediment bacteria. These results provide essential insights into future research on microbial ecology, environmental monitoring, and classified management in the Ningxia section of the Yellow River. MDPI 2023-02-16 /pmc/articles/PMC9967387/ /pubmed/36838461 http://dx.doi.org/10.3390/microorganisms11020496 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Zhao, Rui-Zhi Zhang, Wei-Jiang Zhao, Zeng-Feng Qiu, Xiao-Cong Determinants and Assembly Mechanism of Bacterial Community Structure in Ningxia Section of the Yellow River |
title | Determinants and Assembly Mechanism of Bacterial Community Structure in Ningxia Section of the Yellow River |
title_full | Determinants and Assembly Mechanism of Bacterial Community Structure in Ningxia Section of the Yellow River |
title_fullStr | Determinants and Assembly Mechanism of Bacterial Community Structure in Ningxia Section of the Yellow River |
title_full_unstemmed | Determinants and Assembly Mechanism of Bacterial Community Structure in Ningxia Section of the Yellow River |
title_short | Determinants and Assembly Mechanism of Bacterial Community Structure in Ningxia Section of the Yellow River |
title_sort | determinants and assembly mechanism of bacterial community structure in ningxia section of the yellow river |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9967387/ https://www.ncbi.nlm.nih.gov/pubmed/36838461 http://dx.doi.org/10.3390/microorganisms11020496 |
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