Network succession reveals the importance of competition in response to emulsified vegetable oil amendment for uranium bioremediation: Competition in bioremediation system

Deng, Ye; Zhang, Ping; Qin, Yujia; Tu, Qichao; Yang, Yunfeng; He, Zhili; Schadt, Christopher Warren; Zhou, Jizhong

doi:10.1111/1462-2920.12981

Title: Network succession reveals the importance of competition in response to emulsified vegetable oil amendment for uranium bioremediation: Competition in bioremediation system

Journal Article · Tue Aug 11 04:00:00 UTC 2015 · Environmental Microbiology

DOI: https://doi.org/10.1111/1462-2920.12981 · OSTI ID:1325419

Deng, Ye ^[1]; Zhang, Ping ^[2]; Qin, Yujia ^[2]; Tu, Qichao ^[2]; Yang, Yunfeng ^[3]; He, Zhili ^[2]; Schadt, Christopher Warren ^[4]; Zhou, Jizhong ^[5]

Chinese Academy of Sciences (CAS), Beijing (China). CAS Key Lab. of Environmental Biotechnology; Univ. of Oklahoma, Norman, OK (United States). Inst. for Environmental Genomics and Dept. of Microbiology and Plant Biology
Univ. of Oklahoma, Norman, OK (United States). Inst. for Environmental Genomics and Dept. of Microbiology and Plant Biology
Tsinghua Univ., Beijing (China). State Key Joint Lab. of Environment Simulation and Pollution Control
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). BioSciences Division
Univ. of Oklahoma, Norman, OK (United States). Inst. for Environmental Genomics and Dept. of Microbiology and Plant Biology; Tsinghua Univ., Beijing (China). State Key Joint Lab. of Environment Simulation and Pollution Control; Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). Earth Sciences Division

When trying to discern network interactions among different species/populations in microbial communities interests have been evoked in recent years, but little information is available about temporal dynamics of microbial network interactions in response to environmental perturbations. We modified the random matrix theory-based network approach to discern network succession in groundwater microbial communities in response to emulsified vegetable oil (EVO) amendment for uranium bioremediation. Groundwater microbial communities from one control and seven monitor wells were analysed with a functional gene array (GeoChip 3.0), and functional molecular ecological networks (fMENs) at different time points were reconstructed. Our results showed that the network interactions were dramatically altered by EVO amendment. Dynamic and resilient succession was evident: fairly simple at the initial stage (Day 0), increasingly complex at the middle period (Days 4, 17, 31), most complex at Day 80, and then decreasingly complex at a later stage (140–269 days). Unlike previous studies in other habitats, negative interactions predominated in a time-series fMEN, suggesting strong competition among different microbial species in the groundwater systems after EVO injection. In particular, several keystone sulfate-reducing bacteria showed strong negative interactions with their network neighbours. These results provide mechanistic understanding of the decreased phylogenetic diversity during environmental perturbations.

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Research Organization:: Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)

Sponsoring Organization:: USDOE Office of Science (SC), Biological and Environmental Research (BER) (SC-23)

Grant/Contract Number:: AC05-00OR22725; FG02-07ER64398; AC02-05CH11231; SC0004613

OSTI ID:: 1325419

Journal Information:: Environmental Microbiology, Journal Name: Environmental Microbiology Journal Issue: 1 Vol. 18; ISSN 1462-2912

Publisher:: WileyCopyright Statement

Country of Publication:: United States

Language:: English

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