98th ESA Annual Meeting (August 4 -- 9, 2013)

COS 75-1 - Stochastic assembly leads to alternative communities with distinct functions in a bioreactor microbial community

Wednesday, August 7, 2013: 1:30 PM
L100F, Minneapolis Convention Center
Jizhong Zhou1, Wenzong Liu2, Ye Deng3, Yi-Huei Jiang3, Kai Xue3, Zhili He4, Joy D. Van Nostrand1, Liyou Wu3, Yunfeng Yang5 and Aijie Wang2, (1)Institute for Environmental Genomics, Consolidated Core Laboratory, Department of Microbiology and Plant Biology, and School of Civil Engineering and Environmental Sciences, University of Oklahoma, Norman, OK, (2)State Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, Harbin, China, (3)Institute for Environmental Genomics, University of Oklahoma, Norman, OK, (4)School of Environmental Science and Engineering, Sun Yat-sen University, Guangzhou, China, (5)School of Environment, Tsinghua University, Beijing, China
Background/Question/Methods

The processes and mechanisms of community assembly and its relationships to community functioning are central issues in ecology. Both deterministic and stochastic factors play important roles in shaping community composition and structure, but the connection between community assembly and ecosystem functioning remains elusive, especially in microbial communities. Microorganisms are the most diverse group of life known on earth. Although it is well documented that microbial natural biodiversity is extremely high, it is not clear why such high diversity is generated and maintained. Numerous studies have established the roles of niche-based deterministic factors (e.g., pH, temperature, and salt) in shaping microbial biodiversity, the importance of stochastic processes in generating microbial biodiversity is rarely appreciated. Moreover, while microorganisms mediate many ecosystem processes, the relationship between microbial diversity and ecosystem functioning remains largely elusive. Here, we used microbial electrolysis cell reactors as a model system to examine the roles of stochastic assembly in determining microbial community structure and functions. The functional gene compositions and structures of the microbial communities were analyzed with GeoChip.

Results/Conclusions

Under identical environmental conditions with the same source community, ecological drift (i.e., initial stochastic colonization) and subsequent biotic interactions created dramatically different communities with little overlap among 14 identical reactors, indicating that stochastic assembly played dominant roles in determining microbial community structure. Neutral community modeling analysis revealed that deterministic factors also played significant roles in shaping microbial community structure in these reactors. Most importantly, the newly formed communities differed substantially in community functions (e.g., H2 production), which showed strong linkages to community structure. This study is the first to demonstrate that stochastic assembly plays a dominant role in determining not only community structure but also ecosystem functions. Elucidating the links among community assembly, biodiversity, and ecosystem functioning is critical to understanding ecosystem functioning, biodiversity preservation, and ecosystem management.