Cargando…
Spatiotemporal changes of bacterial communities during a cyanobacterial bloom in a subtropical water source reservoir ecosystem in China
Cyanobacterial blooms, which not only threaten the health and stability of aquatic ecosystems but also influence the microbial community within, emerges as one of the most concerning problems in China. However, how cyanobacterial blooms affect the spatiotemporal variation of aquatic microbial commun...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9418230/ https://www.ncbi.nlm.nih.gov/pubmed/36028544 http://dx.doi.org/10.1038/s41598-022-17788-7 |
_version_ | 1784776902718783488 |
---|---|
author | Huang, Zhenhua Jiang, Cancan Xu, Shengjun Zheng, Xiaoxu Lv, Ping Wang, Cong Wang, Dongsheng Zhuang, Xuliang |
author_facet | Huang, Zhenhua Jiang, Cancan Xu, Shengjun Zheng, Xiaoxu Lv, Ping Wang, Cong Wang, Dongsheng Zhuang, Xuliang |
author_sort | Huang, Zhenhua |
collection | PubMed |
description | Cyanobacterial blooms, which not only threaten the health and stability of aquatic ecosystems but also influence the microbial community within, emerges as one of the most concerning problems in China. However, how cyanobacterial blooms affect the spatiotemporal variation of aquatic microbial communities remains relatively unclear. In this study, we used high-throughput sequencing to investigate how the cyanobacterial and bacterial community spatiotemporally vary along with main cyanobacterial bloom phases in upstream rivers of a eutrophicated water source reservoir. Both cyanobacterial and bacterial diversities in each river were significantly lower (P < 0.05) during the bloom outbreak phase, showing the apparent influence of cyanobacterial bloom. Dominant cyanobacterial taxa included Cyanobacteriales and Synechococcales, and dominant bacterial taxa comprised Acinetobacter, CL500-29, hgcI clade, Limnohabitans, Flavobacterium, Rhodoluna, Porphyrobacter, Rhodobacter, Pseudomonas, and Rhizobiales, whose changes of relative abundance along with the bloom indicated distinct community composition. Non-metric multidimensional scaling analysis proved that community composition had significant difference amongst bloom phases. Linear discriminant analysis (LDA) with LDA effect size analysis (LEfSe) identified unique dominant cyanobacterial and bacterial OTUs at different phases in each river, indicating spatiotemporal variations of communities. Canonical correlation analysis or redundancy analysis revealed that at different bloom phases communities of each river had distinct correlation patterns with the environmental parameters (temperature, ammonium, nitrate, and total phosphorus etc.), implying the spatial variations of microbial communities. Overall, these results expand current understanding on the spatiotemporal variations of microbial communities due to cyanobacterial blooms. Microbial interactions during the bloom may shed light on controlling cyanobacterial blooms in the similar aquatic ecosystems. |
format | Online Article Text |
id | pubmed-9418230 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-94182302022-08-28 Spatiotemporal changes of bacterial communities during a cyanobacterial bloom in a subtropical water source reservoir ecosystem in China Huang, Zhenhua Jiang, Cancan Xu, Shengjun Zheng, Xiaoxu Lv, Ping Wang, Cong Wang, Dongsheng Zhuang, Xuliang Sci Rep Article Cyanobacterial blooms, which not only threaten the health and stability of aquatic ecosystems but also influence the microbial community within, emerges as one of the most concerning problems in China. However, how cyanobacterial blooms affect the spatiotemporal variation of aquatic microbial communities remains relatively unclear. In this study, we used high-throughput sequencing to investigate how the cyanobacterial and bacterial community spatiotemporally vary along with main cyanobacterial bloom phases in upstream rivers of a eutrophicated water source reservoir. Both cyanobacterial and bacterial diversities in each river were significantly lower (P < 0.05) during the bloom outbreak phase, showing the apparent influence of cyanobacterial bloom. Dominant cyanobacterial taxa included Cyanobacteriales and Synechococcales, and dominant bacterial taxa comprised Acinetobacter, CL500-29, hgcI clade, Limnohabitans, Flavobacterium, Rhodoluna, Porphyrobacter, Rhodobacter, Pseudomonas, and Rhizobiales, whose changes of relative abundance along with the bloom indicated distinct community composition. Non-metric multidimensional scaling analysis proved that community composition had significant difference amongst bloom phases. Linear discriminant analysis (LDA) with LDA effect size analysis (LEfSe) identified unique dominant cyanobacterial and bacterial OTUs at different phases in each river, indicating spatiotemporal variations of communities. Canonical correlation analysis or redundancy analysis revealed that at different bloom phases communities of each river had distinct correlation patterns with the environmental parameters (temperature, ammonium, nitrate, and total phosphorus etc.), implying the spatial variations of microbial communities. Overall, these results expand current understanding on the spatiotemporal variations of microbial communities due to cyanobacterial blooms. Microbial interactions during the bloom may shed light on controlling cyanobacterial blooms in the similar aquatic ecosystems. Nature Publishing Group UK 2022-08-26 /pmc/articles/PMC9418230/ /pubmed/36028544 http://dx.doi.org/10.1038/s41598-022-17788-7 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Huang, Zhenhua Jiang, Cancan Xu, Shengjun Zheng, Xiaoxu Lv, Ping Wang, Cong Wang, Dongsheng Zhuang, Xuliang Spatiotemporal changes of bacterial communities during a cyanobacterial bloom in a subtropical water source reservoir ecosystem in China |
title | Spatiotemporal changes of bacterial communities during a cyanobacterial bloom in a subtropical water source reservoir ecosystem in China |
title_full | Spatiotemporal changes of bacterial communities during a cyanobacterial bloom in a subtropical water source reservoir ecosystem in China |
title_fullStr | Spatiotemporal changes of bacterial communities during a cyanobacterial bloom in a subtropical water source reservoir ecosystem in China |
title_full_unstemmed | Spatiotemporal changes of bacterial communities during a cyanobacterial bloom in a subtropical water source reservoir ecosystem in China |
title_short | Spatiotemporal changes of bacterial communities during a cyanobacterial bloom in a subtropical water source reservoir ecosystem in China |
title_sort | spatiotemporal changes of bacterial communities during a cyanobacterial bloom in a subtropical water source reservoir ecosystem in china |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9418230/ https://www.ncbi.nlm.nih.gov/pubmed/36028544 http://dx.doi.org/10.1038/s41598-022-17788-7 |
work_keys_str_mv | AT huangzhenhua spatiotemporalchangesofbacterialcommunitiesduringacyanobacterialbloominasubtropicalwatersourcereservoirecosysteminchina AT jiangcancan spatiotemporalchangesofbacterialcommunitiesduringacyanobacterialbloominasubtropicalwatersourcereservoirecosysteminchina AT xushengjun spatiotemporalchangesofbacterialcommunitiesduringacyanobacterialbloominasubtropicalwatersourcereservoirecosysteminchina AT zhengxiaoxu spatiotemporalchangesofbacterialcommunitiesduringacyanobacterialbloominasubtropicalwatersourcereservoirecosysteminchina AT lvping spatiotemporalchangesofbacterialcommunitiesduringacyanobacterialbloominasubtropicalwatersourcereservoirecosysteminchina AT wangcong spatiotemporalchangesofbacterialcommunitiesduringacyanobacterialbloominasubtropicalwatersourcereservoirecosysteminchina AT wangdongsheng spatiotemporalchangesofbacterialcommunitiesduringacyanobacterialbloominasubtropicalwatersourcereservoirecosysteminchina AT zhuangxuliang spatiotemporalchangesofbacterialcommunitiesduringacyanobacterialbloominasubtropicalwatersourcereservoirecosysteminchina |