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Disentangling the Mechanisms Shaping the Prokaryotic Communities in a Eutrophic Bay
Eutrophication occurring in coastal bays is prominent in impacting local ecosystem structure and functioning. To understand how coastal bay ecosystem function responds to eutrophication, comprehending the ecological processes associated with microbial community assembly is critical. However, quantif...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Society for Microbiology
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9241920/ https://www.ncbi.nlm.nih.gov/pubmed/35638815 http://dx.doi.org/10.1128/spectrum.01481-22 |
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author | Zhang, Huajun Yan, Yi Lin, Tenghui Xie, Weijuan Hu, Jian Hou, Fanrong Han, Qingxi Zhu, Xiangyu Zhang, Demin |
author_facet | Zhang, Huajun Yan, Yi Lin, Tenghui Xie, Weijuan Hu, Jian Hou, Fanrong Han, Qingxi Zhu, Xiangyu Zhang, Demin |
author_sort | Zhang, Huajun |
collection | PubMed |
description | Eutrophication occurring in coastal bays is prominent in impacting local ecosystem structure and functioning. To understand how coastal bay ecosystem function responds to eutrophication, comprehending the ecological processes associated with microbial community assembly is critical. However, quantifying the contribution of ecological processes to the assembly of prokaryotic communities is still limited in eutrophic waters. Moreover, the influence of these ecological processes on microbial interactions is poorly understood. Here, we examined the assembly processes and co-occurrence patterns of prokaryotic communities in a eutrophic bay using 156 surface seawater samples collected over 12 months. The variation of prokaryotic community compositions (PCCs) could be mainly explained by environmental factors, of which temperature was the most important. Under high environmental heterogeneity conditions in low-temperature seasons, heterogeneous selection was the major assembly process, resulting in high β-diversity and more tightly connected co-occurrence networks. When environmental heterogeneity decreased in high-temperature seasons, drift took over, leading to decline in β-diversity and network associations. Microeukaryotes were found to be important biological factors affecting PCCs. Our results first disentangled the contribution of drift and microbial interactions to the large unexplained variation of prokaryotic communities in eutrophic waters. Furthermore, a new conceptual model linking microbial interactions to ecological processes was proposed under different environmental heterogeneity. Overall, our study sheds new light on the relationship between assembly processes and co-occurrence of prokaryotic communities in eutrophic waters. IMPORTANCE A growing number of studies have examined roles of microbial community assembly in modulating community composition. However, the relationships between community assembly and microbial interactions are not fully understood and rarely tested, especially in eutrophic waters. In this study, we built a conceptual model that links seasonal microbial interactions to ecological processes, which has not been reported before. The model showed that heterogeneous selection plays an important role in driving community assembly during low-temperature seasons, resulting in higher β-diversity and more tightly connected networks. In contrast, drift became a dominant force during high-temperature seasons, leading to declines in the β-diversity and network associations. This model could function as a new framework to predict how prokaryotic communities respond to intensified eutrophication induced by climate change in coastal environment. |
format | Online Article Text |
id | pubmed-9241920 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | American Society for Microbiology |
record_format | MEDLINE/PubMed |
spelling | pubmed-92419202022-06-30 Disentangling the Mechanisms Shaping the Prokaryotic Communities in a Eutrophic Bay Zhang, Huajun Yan, Yi Lin, Tenghui Xie, Weijuan Hu, Jian Hou, Fanrong Han, Qingxi Zhu, Xiangyu Zhang, Demin Microbiol Spectr Research Article Eutrophication occurring in coastal bays is prominent in impacting local ecosystem structure and functioning. To understand how coastal bay ecosystem function responds to eutrophication, comprehending the ecological processes associated with microbial community assembly is critical. However, quantifying the contribution of ecological processes to the assembly of prokaryotic communities is still limited in eutrophic waters. Moreover, the influence of these ecological processes on microbial interactions is poorly understood. Here, we examined the assembly processes and co-occurrence patterns of prokaryotic communities in a eutrophic bay using 156 surface seawater samples collected over 12 months. The variation of prokaryotic community compositions (PCCs) could be mainly explained by environmental factors, of which temperature was the most important. Under high environmental heterogeneity conditions in low-temperature seasons, heterogeneous selection was the major assembly process, resulting in high β-diversity and more tightly connected co-occurrence networks. When environmental heterogeneity decreased in high-temperature seasons, drift took over, leading to decline in β-diversity and network associations. Microeukaryotes were found to be important biological factors affecting PCCs. Our results first disentangled the contribution of drift and microbial interactions to the large unexplained variation of prokaryotic communities in eutrophic waters. Furthermore, a new conceptual model linking microbial interactions to ecological processes was proposed under different environmental heterogeneity. Overall, our study sheds new light on the relationship between assembly processes and co-occurrence of prokaryotic communities in eutrophic waters. IMPORTANCE A growing number of studies have examined roles of microbial community assembly in modulating community composition. However, the relationships between community assembly and microbial interactions are not fully understood and rarely tested, especially in eutrophic waters. In this study, we built a conceptual model that links seasonal microbial interactions to ecological processes, which has not been reported before. The model showed that heterogeneous selection plays an important role in driving community assembly during low-temperature seasons, resulting in higher β-diversity and more tightly connected networks. In contrast, drift became a dominant force during high-temperature seasons, leading to declines in the β-diversity and network associations. This model could function as a new framework to predict how prokaryotic communities respond to intensified eutrophication induced by climate change in coastal environment. American Society for Microbiology 2022-05-31 /pmc/articles/PMC9241920/ /pubmed/35638815 http://dx.doi.org/10.1128/spectrum.01481-22 Text en Copyright © 2022 Zhang et al. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Research Article Zhang, Huajun Yan, Yi Lin, Tenghui Xie, Weijuan Hu, Jian Hou, Fanrong Han, Qingxi Zhu, Xiangyu Zhang, Demin Disentangling the Mechanisms Shaping the Prokaryotic Communities in a Eutrophic Bay |
title | Disentangling the Mechanisms Shaping the Prokaryotic Communities in a Eutrophic Bay |
title_full | Disentangling the Mechanisms Shaping the Prokaryotic Communities in a Eutrophic Bay |
title_fullStr | Disentangling the Mechanisms Shaping the Prokaryotic Communities in a Eutrophic Bay |
title_full_unstemmed | Disentangling the Mechanisms Shaping the Prokaryotic Communities in a Eutrophic Bay |
title_short | Disentangling the Mechanisms Shaping the Prokaryotic Communities in a Eutrophic Bay |
title_sort | disentangling the mechanisms shaping the prokaryotic communities in a eutrophic bay |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9241920/ https://www.ncbi.nlm.nih.gov/pubmed/35638815 http://dx.doi.org/10.1128/spectrum.01481-22 |
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