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A decade of seasonal dynamics and co-occurrences within freshwater bacterioplankton communities from eutrophic Lake Mendota,WI, USA
Authors:Emily L Kara  Paul C Hanson  Yu Hen Hu  Luke Winslow  Katherine D McMahon
Affiliation:1.Civil and Environmental Engineering Department, University of Wisconsin-Madison, Madison, WI, USA;2.Center for Limnology, University of Wisconsin-Madison, Madison, WI, USA;3.Department of Electrical and Computer Engineering, University of Wisconsin-Madison, Madison, WI, USA;4.Bacteriology Department, University of Wisconsin-Madison, Madison, WI, USA
Abstract: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.
Keywords:aquatic community   temporal dynamics   seasonal dynamics   local similarity analysis   network analysis   diversity
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