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Targeted acclimation and community dynamics of Cr(Ⅵ)-degrading microbial consortia from rhizosphere
Received:March 14, 2025  
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KeyWord:artificial selection;synthetic community;bioremediation;agricultural soil;heavy metals
Author NameAffiliationE-mail
LUO Lishan National Key Laboratory of Soil Pollution Control and Safety, College of Environment and Resource Sciences, Zhejiang University, Hangzhou 310058, China  
FAN Ziyan National Key Laboratory of Soil Pollution Control and Safety, College of Environment and Resource Sciences, Zhejiang University, Hangzhou 310058, China  
LIU Qizhen National Key Laboratory of Soil Pollution Control and Safety, College of Environment and Resource Sciences, Zhejiang University, Hangzhou 310058, China  
YUAN Jie National Key Laboratory of Soil Pollution Control and Safety, College of Environment and Resource Sciences, Zhejiang University, Hangzhou 310058, China  
LIAO Jiayuan National Key Laboratory of Soil Pollution Control and Safety, College of Environment and Resource Sciences, Zhejiang University, Hangzhou 310058, China  
PAN Ancao National Key Laboratory of Soil Pollution Control and Safety, College of Environment and Resource Sciences, Zhejiang University, Hangzhou 310058, China  
FENG Ying National Key Laboratory of Soil Pollution Control and Safety, College of Environment and Resource Sciences, Zhejiang University, Hangzhou 310058, China yfeng@zju.edu.cn 
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Abstract:
      To investigate the effects of directed domestication on pollutant degradation ability and dynamic changes of community composition, in this study, the microbial consortium DD Ⅱ was enriched from soybean rhizosphere soil in a mildly chromium(Cr)- contaminated farmland. Through stepwise Cr(Ⅵ)concentration gradients(25, 50, 100, and 200 mg·L-1)in liquid medium and artificial selection at each stage, four optimized consortia(DT1-DT4)were obtained. Then the Cr(Ⅵ)degradation capabilities were compared, and 16S rRNA sequencing was used to analyze dynamic shifts in community structure. Results revealed that DT4 achieved superior Cr(Ⅵ) removal efficiencies of 99.4%, 55.1%, and 17.7% at initial concentrations of 50, 100, and 200 mg·L-1 within 72 h, respectively, significantly outperforming other consortia(P<0.05)and showing broad application potential. 16S rRNA sequencing revealed a 73.7% reduction in Shannon index and a 40.8% decline in Simpson index during acclimation. Functional enrichment was observed in key taxa:the relative abundance of Serratia increased from 0.3% to 68.4%, while Bacillus rose from 2.4% to 17.8%, forming a core degradation module. These findings demonstrate that gradient pressure combined with artificial selection effectively optimizes microbial structure and function, providing efficient bacterial community resources and scientific basis for bioreremediation of farmland soil Cr pollution.