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

Journal Article · · Molecular Ecology
DOI:https://doi.org/10.1111/mec.14151· OSTI ID:1567086
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. Sun Yat-Sen Univ., Guangzhou, (China); Chinese Academy of Sciences (CAS), Wuhan (China)
  2. Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
  3. Chinese Academy of Sciences (CAS), Wuhan (China)
  4. Chinese Academy of Sciences (CAS), Beijing (China)
  5. Sun Yat-Sen Univ., Guangzhou, (China)
  6. Univ. of Oklahoma, Norman, OK (United States)
  7. Sun Yat-Sen Univ., Guangzhou, (China); Univ. of Oklahoma, Norman, OK (United States)
  8. Univ. of Oklahoma, Norman, OK (United States); Tsinghua Univ., Beijing (China); Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)

Discovering which environmental factors govern community diversity patterns and how ecological processes drive community turnover are key questions related to understand the community assembly. Yet, the ecological mechanisms regulating long-term variations of bacterioplankton communities in lake ecosystems remain poorly understood. Here we present nearly a decade-long study of bacterioplankton communities from the eutrophic Lake Donghu (Wuhan, China) using 16S rRNA gene amplicon sequencing with MiSeq platform. We found strong repeatable seasonal diversity patterns in terms of both common (detected in more than 50% samples) and dominant (relative abundance >1%) bacterial taxa turnover. Moreover, community composition tracked the seasonal temperature gradient, suggesting that temperature is a key environmental factor controlling observed diversity patterns. Total phosphorus also contributed significantly to the seasonal shifts in bacterioplankton composition. However, any spatial pattern of bacterioplankton communities across the main lake areas within season was overwhelmed by their temporal variabilities. Phylogenetic analysis further indicated that 75%-82% of community turnover was governed by homogeneous selection due to consistent environmental conditions within seasons, suggesting that the microbial communities in Lake Donghu are mainly controlled by niche-based processes. Therefore, dominant niches available within seasons might be occupied by similar combinations of bacterial taxa with modest dispersal rates throughout different lake areas.

Research Organization:
Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
Sponsoring Organization:
USDOE Office of Science (SC), Biological and Environmental Research (BER); National Natural Science Foundation of China (NSFC)
Grant/Contract Number:
AC02-05CH11231
OSTI ID:
1567086
Journal Information:
Molecular Ecology, Vol. 26, Issue 14; ISSN 0962-1083
Publisher:
WileyCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 68 works
Citation information provided by
Web of Science

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Cited By (4)


Figures / Tables (8)