Stochastic Assembly Leads to Alternative Communities with Distinct Functions in a Bioreactor Microbial Community
- Tsinghua Univ., Beijing (China). State Key Joint Lab. of Environment Simulation and Pollution Control. School of Environment; Univ. of Oklahoma, Norman, OK (United States). Inst. for Environmental Genomics. Dept. of Microbiology and Plant Biology; Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). Earth Sciences Division; DOE/OSTI
- Univ. of Oklahoma, Norman, OK (United States). Inst. for Environmental Genomics. Dept. of Microbiology and Plant Biology; Harbin Inst. of Technology (China). State Key Lab. of Urban Water Resource and Environment
- Univ. of Oklahoma, Norman, OK (United States). Inst. for Environmental Genomics. Dept. of Microbiology and Plant Biology
- Tsinghua Univ., Beijing (China). State Key Joint Lab. of Environment Simulation and Pollution Control. School of Environment
- Harbin Inst. of Technology (China). State Key Lab. of Urban Water Resource and Environment
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. 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. 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.
- Research Organization:
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
- Sponsoring Organization:
- USDOE Office of Science (SC), Biological and Environmental Research (BER). Biological Systems Science Division
- Grant/Contract Number:
- AC02-05CH11231
- OSTI ID:
- 1626112
- Journal Information:
- mBio (Online), Journal Name: mBio (Online) Journal Issue: 2 Vol. 4; ISSN 2150-7511
- Publisher:
- American Society for Microbiology (ASM)Copyright Statement
- Country of Publication:
- United States
- Language:
- English
Similar Records
Stochastic Community Assembly: Does It Matter in Microbial Ecology?
Stochasticity, succession, and environmental perturbations in a fluidic ecosystem
Balanced stochastic versus deterministic assembly processes benefit diverse yet uneven ecosystem functions in representative agroecosystems
Journal Article
·
Tue Oct 10 20:00:00 EDT 2017
· Microbiology and Molecular Biology Reviews
·
OSTI ID:1561877
Stochasticity, succession, and environmental perturbations in a fluidic ecosystem
Journal Article
·
Mon Feb 17 19:00:00 EST 2014
· Proceedings of the National Academy of Sciences of the United States of America
·
OSTI ID:2483321
Balanced stochastic versus deterministic assembly processes benefit diverse yet uneven ecosystem functions in representative agroecosystems
Journal Article
·
Sun Jan 03 23:00:00 EST 2021
· Environmental Microbiology
·
OSTI ID:1776802