期刊
ENVIRONMENTAL MICROBIOLOGY
卷 18, 期 1, 页码 205-218出版社
WILEY
DOI: 10.1111/1462-2920.12981
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资金
- National Science Foundation of China [21437005]
- '100 Talents' Program of Chinese Academy of Sciences
- State Key Joint Laboratory of Environment Simulation and Pollution Control [11Z03ESPCT]
- Subsurface Biogeochemical Research Program [DE-FG02-07ER64398]
- ENIGMA-Ecosystems and Networks Integrated with Genes and Molecular Assemblies
- U.S. Department of Energy, Office of Science, Office of Biological & Environmental Research [DE-AC02-05CH11231]
- DOE STTR Program [DE-SC0004613]
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.
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