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  • 标题:Evolutionary Dynamics of Microbial Communities in Bioelectrochemical Systems
  • 本地全文:下载
  • 作者:Lukasz Szydlowski ; Anatoly Sorokin ; Olga Vasieva
  • 期刊名称:Journal of Computer Science & Systems Biology
  • 印刷版ISSN:0974-7230
  • 出版年度:2020
  • 卷号:13
  • 期号:4
  • 页码:1-9
  • DOI:10.37421/jcsb.2020.13.310
  • 语种:English
  • 出版社:OMICS Publishing Group
  • 摘要:Bio-electrochemical systems can generate electricity by virtue of mature microbial consortia that gradually and spontaneously optimize performance. To evaluate selective enrichment of these electrogenic microbial communities, five, 3-electrode reactors were inoculated with microbes derived from rice wash wastewater and incubated under a range of applied potentials. Reactors were sampled over a 12-week period and DNA extracted from anodic, cathodic, and planktonic bacterial communities was interrogated using a custom-made bioinformatics pipeline that combined 16S and metagenomic samples to monitor temporal changes in community composition. Some genera that constituted a minor proportion of the initial inoculum dominated within weeks following inoculation and correlated with applied potential. For instance, the abundance of Geobacter increased from 423-fold to 766-fold between -350 mV and -50 mV, respectively. Full metagenomic profiles of bacterial communities were obtained from reactors operating for 12 weeks. Functional analyses of metagenomes revealed metabolic changes between different species of the dominant genus, Geobacter, suggesting that optimal nutrient utilization at the lowest electrode potential is achieved via genome rearrangements and a strong inter-strain selection, as well as adjustment of the characteristic syntrophic relationships. These results reveal a certain degree of metabolic plasticity of electrochemically active bacteria and their communities in adaptation to adverse anodic and cathodic environments.
  • 关键词:Bioelectrochemical systems; Microbial fuel cells; Electrogenic microorganisms; Comparative metagenomics
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