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Title: Nearly a decade-long repeatable seasonal diversity patterns of bacterioplankton communities in the eutrophic Lake Donghu (Wuhan, China)

Abstract

Uncovering which environmental factors have the greatest influence on community diversity patterns and how ecological processes govern community turnover are key questions related to understanding community assembly mechanisms. Although we have good understanding of plant and animal community assembly, the mechanisms regulating diversity patterns of aquatic bacterial communities in lake ecosystems remains poorly understood. Here we present nearly a decade-long time-series study of bacterioplankton communities from the eutrophic Lake Donghu (Wuhan, China) using 16S rRNA gene amplicon sequencing. We found strong repeatable seasonal patterns for the overall community, common (detected in more than 50% samples) and dominant bacterial taxa (relative abundance > 1%). Moreover, community composition tracked the seasonal temperature gradient, indicating that temperature is an important environmental factor controlling observed diversity patterns. Total phosphorus also contributed significantly to the seasonal shifts in bacterioplankton composition. However, any spatial pattern across the main lake areas was overwhelmed by temporal variability in this eutrophic lake system. Phylogenetic analysis further indicated that 75%-82% of community turnover was governed by homogeneous selection, suggesting that the bacterioplankton communities are mainly controlled by niche-based processes. However, dominant niches available within seasons might be occupied by similar combinations of bacterial taxa with modest dispersal rates throughout thismore » lake system. This study gives us important insights into community assembly and seasonal turnover of lake bacterioplankton, it may be also useful to predict temporal patterns of other planktonic communities.« less

Authors:
ORCiD logo [1];  [2];  [3]; ORCiD logo [4];  [3];  [3];  [3];  [3];  [3];  [3];  [3];  [3];  [3];  [5];  [3];  [6];  [7];  [6];  [6];  [8]
  1. Environmental Microbiome Research Center and the School of Environmental Science and Engineering, Sun Yat-sen University, Guangzhou China; Key Laboratory of Aquatic Biodiversity and Conservation of Chinese Academy of Sciences, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan China
  2. Biological Sciences Division, Pacific Northwest National Laboratory, Richland WA USA
  3. Key Laboratory of Aquatic Biodiversity and Conservation of Chinese Academy of Sciences, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan China
  4. CAS Key Laboratory of Environmental Biotechnology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing China
  5. Environmental Microbiome Research Center and the School of Environmental Science and Engineering, Sun Yat-sen University, Guangzhou China
  6. Department of Microbiology and Plant Biology, Institute for Environmental Genomics, University of Oklahoma, Norman OK USA
  7. Environmental Microbiome Research Center and the School of Environmental Science and Engineering, Sun Yat-sen University, Guangzhou China; Department of Microbiology and Plant Biology, Institute for Environmental Genomics, University of Oklahoma, Norman OK USA
  8. Department of Microbiology and Plant Biology, Institute for Environmental Genomics, University of Oklahoma, Norman OK USA; State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing China; Earth Sciences Division, Lawrence Berkeley National Laboratory, Berkeley CA USA
Publication Date:
Research Org.:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1372998
Report Number(s):
PNNL-SA-120283
Journal ID: ISSN 0962-1083; KP1702030
DOE Contract Number:  
AC05-76RL01830
Resource Type:
Journal Article
Journal Name:
Molecular Ecology
Additional Journal Information:
Journal Volume: 26; Journal Issue: 14; Journal ID: ISSN 0962-1083
Country of Publication:
United States
Language:
English
Subject:
lake bacterioplankton; repeatable seasonal patterns; community assembly; Lake Donghu; 16S rRNA amplicon sequencing; null models

Citation Formats

Yan, Qingyun, Stegen, James C., Yu, Yuhe, Deng, Ye, Li, Xinghao, Wu, Shu, Dai, Lili, Zhang, Xiang, Li, Jinjin, Wang, Chun, Ni, Jiajia, Li, Xuemei, Hu, Hongjuan, Xiao, Fanshu, Feng, Weisong, Ning, Daliang, He, Zhili, Van Nostrand, Joy D., Wu, Liyou, and Zhou, Jizhong. Nearly a decade-long repeatable seasonal diversity patterns of bacterioplankton communities in the eutrophic Lake Donghu (Wuhan, China). United States: N. p., 2017. Web. doi:10.1111/mec.14151.
Yan, Qingyun, Stegen, James C., Yu, Yuhe, Deng, Ye, Li, Xinghao, Wu, Shu, Dai, Lili, Zhang, Xiang, Li, Jinjin, Wang, Chun, Ni, Jiajia, Li, Xuemei, Hu, Hongjuan, Xiao, Fanshu, Feng, Weisong, Ning, Daliang, He, Zhili, Van Nostrand, Joy D., Wu, Liyou, & Zhou, Jizhong. Nearly a decade-long repeatable seasonal diversity patterns of bacterioplankton communities in the eutrophic Lake Donghu (Wuhan, China). United States. doi:10.1111/mec.14151.
Yan, Qingyun, Stegen, James C., Yu, Yuhe, Deng, Ye, Li, Xinghao, Wu, Shu, Dai, Lili, Zhang, Xiang, Li, Jinjin, Wang, Chun, Ni, Jiajia, Li, Xuemei, Hu, Hongjuan, Xiao, Fanshu, Feng, Weisong, Ning, Daliang, He, Zhili, Van Nostrand, Joy D., Wu, Liyou, and Zhou, Jizhong. Sun . "Nearly a decade-long repeatable seasonal diversity patterns of bacterioplankton communities in the eutrophic Lake Donghu (Wuhan, China)". United States. doi:10.1111/mec.14151.
@article{osti_1372998,
title = {Nearly a decade-long repeatable seasonal diversity patterns of bacterioplankton communities in the eutrophic Lake Donghu (Wuhan, China)},
author = {Yan, Qingyun and Stegen, James C. and Yu, Yuhe and Deng, Ye and Li, Xinghao and Wu, Shu and Dai, Lili and Zhang, Xiang and Li, Jinjin and Wang, Chun and Ni, Jiajia and Li, Xuemei and Hu, Hongjuan and Xiao, Fanshu and Feng, Weisong and Ning, Daliang and He, Zhili and Van Nostrand, Joy D. and Wu, Liyou and Zhou, Jizhong},
abstractNote = {Uncovering which environmental factors have the greatest influence on community diversity patterns and how ecological processes govern community turnover are key questions related to understanding community assembly mechanisms. Although we have good understanding of plant and animal community assembly, the mechanisms regulating diversity patterns of aquatic bacterial communities in lake ecosystems remains poorly understood. Here we present nearly a decade-long time-series study of bacterioplankton communities from the eutrophic Lake Donghu (Wuhan, China) using 16S rRNA gene amplicon sequencing. We found strong repeatable seasonal patterns for the overall community, common (detected in more than 50% samples) and dominant bacterial taxa (relative abundance > 1%). Moreover, community composition tracked the seasonal temperature gradient, indicating that temperature is an important environmental factor controlling observed diversity patterns. Total phosphorus also contributed significantly to the seasonal shifts in bacterioplankton composition. However, any spatial pattern across the main lake areas was overwhelmed by temporal variability in this eutrophic lake system. Phylogenetic analysis further indicated that 75%-82% of community turnover was governed by homogeneous selection, suggesting that the bacterioplankton communities are mainly controlled by niche-based processes. However, dominant niches available within seasons might be occupied by similar combinations of bacterial taxa with modest dispersal rates throughout this lake system. This study gives us important insights into community assembly and seasonal turnover of lake bacterioplankton, it may be also useful to predict temporal patterns of other planktonic communities.},
doi = {10.1111/mec.14151},
journal = {Molecular Ecology},
issn = {0962-1083},
number = 14,
volume = 26,
place = {United States},
year = {2017},
month = {5}
}

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