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Heterogeneity of interactions of microbial communities in regions of Taihu Lake with different nutrient loadings: A network analysis

To investigate the differences in the interactions of microbial communities in two regions in Taihu Lake with different nutrient loadings [Meiliang Bay (MLB) and Xukou Bay (XKB)], water samples were collected and both intra- and inter-kingdom microbial community interactions were examined with netwo...

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Autores principales: Cao, Xinyi, Zhao, Dayong, Xu, Huimin, Huang, Rui, Zeng, Jin, Yu, Zhongbo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5995825/
https://www.ncbi.nlm.nih.gov/pubmed/29891905
http://dx.doi.org/10.1038/s41598-018-27172-z
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author Cao, Xinyi
Zhao, Dayong
Xu, Huimin
Huang, Rui
Zeng, Jin
Yu, Zhongbo
author_facet Cao, Xinyi
Zhao, Dayong
Xu, Huimin
Huang, Rui
Zeng, Jin
Yu, Zhongbo
author_sort Cao, Xinyi
collection PubMed
description To investigate the differences in the interactions of microbial communities in two regions in Taihu Lake with different nutrient loadings [Meiliang Bay (MLB) and Xukou Bay (XKB)], water samples were collected and both intra- and inter-kingdom microbial community interactions were examined with network analysis. It is demonstrated that all of the bacterioplankton, microeukaryotes and inter-kingdom communities networks in Taihu Lake were non-random. For the networks of bacterioplankton and inter-kingdom community in XKB, higher clustering coefficient and average degree but lower average path length indexes were observed, indicating the nodes in XKB were more clustered and closely connected with plenty edges than those of MLB. The bacterioplankton and inter-kingdom networks were considerably larger and more complex with more module hubs and connectors in XKB compared with those of MLB, whereas the microeukaryotes networks were comparable and had no module hubs or connectors in the two lake zones. The phyla of Acidobacteria, Cyanobacteria and Planctomycetes maintained greater cooperation with other phyla in XKB, rather than competition. The relationships between microbial communities and environmental factors in MLB were weaker. Compared with the microbial community networks of XKB, less modules in networks of MLB were significantly correlated with total phosphorous and total nitrogen.
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spelling pubmed-59958252018-06-21 Heterogeneity of interactions of microbial communities in regions of Taihu Lake with different nutrient loadings: A network analysis Cao, Xinyi Zhao, Dayong Xu, Huimin Huang, Rui Zeng, Jin Yu, Zhongbo Sci Rep Article To investigate the differences in the interactions of microbial communities in two regions in Taihu Lake with different nutrient loadings [Meiliang Bay (MLB) and Xukou Bay (XKB)], water samples were collected and both intra- and inter-kingdom microbial community interactions were examined with network analysis. It is demonstrated that all of the bacterioplankton, microeukaryotes and inter-kingdom communities networks in Taihu Lake were non-random. For the networks of bacterioplankton and inter-kingdom community in XKB, higher clustering coefficient and average degree but lower average path length indexes were observed, indicating the nodes in XKB were more clustered and closely connected with plenty edges than those of MLB. The bacterioplankton and inter-kingdom networks were considerably larger and more complex with more module hubs and connectors in XKB compared with those of MLB, whereas the microeukaryotes networks were comparable and had no module hubs or connectors in the two lake zones. The phyla of Acidobacteria, Cyanobacteria and Planctomycetes maintained greater cooperation with other phyla in XKB, rather than competition. The relationships between microbial communities and environmental factors in MLB were weaker. Compared with the microbial community networks of XKB, less modules in networks of MLB were significantly correlated with total phosphorous and total nitrogen. Nature Publishing Group UK 2018-06-11 /pmc/articles/PMC5995825/ /pubmed/29891905 http://dx.doi.org/10.1038/s41598-018-27172-z Text en © The Author(s) 2018 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Cao, Xinyi
Zhao, Dayong
Xu, Huimin
Huang, Rui
Zeng, Jin
Yu, Zhongbo
Heterogeneity of interactions of microbial communities in regions of Taihu Lake with different nutrient loadings: A network analysis
title Heterogeneity of interactions of microbial communities in regions of Taihu Lake with different nutrient loadings: A network analysis
title_full Heterogeneity of interactions of microbial communities in regions of Taihu Lake with different nutrient loadings: A network analysis
title_fullStr Heterogeneity of interactions of microbial communities in regions of Taihu Lake with different nutrient loadings: A network analysis
title_full_unstemmed Heterogeneity of interactions of microbial communities in regions of Taihu Lake with different nutrient loadings: A network analysis
title_short Heterogeneity of interactions of microbial communities in regions of Taihu Lake with different nutrient loadings: A network analysis
title_sort heterogeneity of interactions of microbial communities in regions of taihu lake with different nutrient loadings: a network analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5995825/
https://www.ncbi.nlm.nih.gov/pubmed/29891905
http://dx.doi.org/10.1038/s41598-018-27172-z
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