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Network succession reveals the importance of competition in response to emulsified vegetable oil amendment for uranium bioremediation
Author(s) -
Deng Ye,
Zhang Ping,
Qin Yujia,
Tu Qichao,
Yang Yunfeng,
He Zhili,
Schadt Christopher Warren,
Zhou Jizhong
Publication year - 2016
Publication title -
environmental microbiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.954
H-Index - 188
eISSN - 1462-2920
pISSN - 1462-2912
DOI - 10.1111/1462-2920.12981
Subject(s) - biology , ecological succession , bioremediation , competition (biology) , ecology , groundwater , amendment , microbial ecology , bacteria , contamination , law , genetics , geotechnical engineering , political science , engineering
Summary Discerning network interactions among different species/populations in microbial communities has evoked substantial interests in recent years, but little information is available about temporal dynamics of microbial network interactions in response to environmental perturbations. Here, 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. Particularly, 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.