期刊
ISME JOURNAL
卷 7, 期 3, 页码 680-684出版社
NATURE PUBLISHING GROUP
DOI: 10.1038/ismej.2012.118
关键词
aquatic community; temporal dynamics; seasonal dynamics; local similarity analysis; network analysis; diversity
资金
- NSF CAREER award [CBET 0738039]
- National Institute of Food and Agriculture, United States Department of Agriculture [WIS01516]
- National Science Foundation [0822700]
- Direct For Biological Sciences
- Division Of Environmental Biology [0941510] Funding Source: National Science Foundation
- Direct For Biological Sciences
- Division Of Environmental Biology [822700] Funding Source: National Science Foundation
With an unprecedented decade-long time series from a temperate eutrophic lake, we analyzed bacterial and environmental co-occurrence networks to gain insight into seasonal dynamics at the community level. We found that (1) bacterial co-occurrence networks were non-random, (2) season explained the network complexity and (3) co-occurrence network complexity was negatively correlated with the underlying community diversity across different seasons. Network complexity was not related to the variance of associated environmental factors. Temperature and productivity may drive changes in diversity across seasons in temperate aquatic systems, much as they control diversity across latitude. While the implications of bacterioplankton network structure on ecosystem function are still largely unknown, network analysis, in conjunction with traditional multivariate techniques, continues to increase our understanding of bacterioplankton temporal dynamics. The ISME Journal (2013) 7, 680-684; doi:10.1038/ismej.2012.118; published online 11 October 2012
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