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Open AccessArticle

Network Analysis Reveals Seasonal Patterns of Bacterial Community Networks in Lake Taihu under Aquaculture Conditions

by 1, 1,2,*, 3, 1,3 and 1,3
1
State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Joint International Research Laboratory of Global Change and Water Cycle, Hohai University, Nanjing 210098, China
2
Experimental Teaching Center of Water Resources, Hohai University, Nanjing 210098, China
3
State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China
*
Author to whom correspondence should be addressed.
Water 2019, 11(9), 1868; https://doi.org/10.3390/w11091868
Received: 6 July 2019 / Revised: 16 August 2019 / Accepted: 5 September 2019 / Published: 8 September 2019
(This article belongs to the Section Aquatic Systems—Quality and Contamination)
Bacterial communities play essential roles in multiple ecological processes, such as primary production and nutrient recycling in aquatic systems. However, although the composition, diversity and function of bacterial communities have been well studied, little is known about the interactions and co-occurrence characteristics of these communities, let alone their seasonal patterns. To investigate the seasonal variations of bacterial community interactions, we collected water samples from four seasons in Lake Taihu and applied network analysis to reveal bacterial community interactions. Bacterial community networks were non-random in structure, and interactions among bacterial taxa in the networks varied markedly in different seasons. The autumnal bacterial network was the largest and most complex among obtained networks, whereas the spring correlation network was the simplest, having no module hubs or connectors. The important species of the networks were the dominant bacterial phyla/classes (e.g., Alphaproteobacteria and Bacteroidetes), although their relative abundance varied among seasons. The relationships between species and measured environmental variables changed over seasons; fewer environmental factors were correlated with bacterial species in the spring bacterial network, while we observed a greater number of species-environment correlations in the winter network. Our study highlights the seasonal differences in bacterial community interactions and expands our understanding of freshwater microbial ecology in systems affected by aquaculture. View Full-Text
Keywords: network analysis; bacterial community interactions; seasonal variation; aquaculture; Lake Taihu network analysis; bacterial community interactions; seasonal variation; aquaculture; Lake Taihu
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MDPI and ACS Style

Lin, Y.; Zhao, D.; Zeng, J.; Cao, X.; Jiao, C. Network Analysis Reveals Seasonal Patterns of Bacterial Community Networks in Lake Taihu under Aquaculture Conditions. Water 2019, 11, 1868. https://doi.org/10.3390/w11091868

AMA Style

Lin Y, Zhao D, Zeng J, Cao X, Jiao C. Network Analysis Reveals Seasonal Patterns of Bacterial Community Networks in Lake Taihu under Aquaculture Conditions. Water. 2019; 11(9):1868. https://doi.org/10.3390/w11091868

Chicago/Turabian Style

Lin, Yuqing; Zhao, Dayong; Zeng, Jin; Cao, Xinyi; Jiao, Congcong. 2019. "Network Analysis Reveals Seasonal Patterns of Bacterial Community Networks in Lake Taihu under Aquaculture Conditions" Water 11, no. 9: 1868. https://doi.org/10.3390/w11091868

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