論文

査読有り
2023年4月11日

Facilitative interaction networks in experimental microbial community dynamics

Frontiers in Microbiology
  • Hiroaki Fujita
  • Masayuki Ushio
  • Kenta Suzuki
  • Masato S. Abe
  • Masato Yamamichi
  • Yusuke Okazaki
  • Alberto Canarini
  • Ibuki Hayashi
  • Keitaro Fukushima
  • Shinji Fukuda
  • E. Toby Kiers
  • Hirokazu Toju
  • 全て表示

14
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.3389/fmicb.2023.1153952
出版者・発行元
Frontiers Media SA

Facilitative interactions between microbial species are ubiquitous in various types of ecosystems on the Earth. Therefore, inferring how entangled webs of interspecific interactions shift through time in microbial ecosystems is an essential step for understanding ecological processes driving microbiome dynamics. By compiling shotgun metagenomic sequencing data of an experimental microbial community, we examined how the architectural features of facilitative interaction networks could change through time. A metabolic modeling approach for estimating dependence between microbial genomes (species) allowed us to infer the network structure of potential facilitative interactions at 13 time points through the 110-day monitoring of experimental microbiomes. We then found that positive feedback loops, which were theoretically predicted to promote cascade breakdown of ecological communities, existed within the inferred networks of metabolic interactions prior to the drastic community-compositional shift observed in the microbiome time-series. We further applied “directed-graph” analyses to pinpoint potential keystone species located at the “upper stream” positions of such feedback loops. These analyses on facilitative interactions will help us understand key mechanisms causing catastrophic shifts in microbial community structure.

リンク情報
DOI
https://doi.org/10.3389/fmicb.2023.1153952
URL
https://www.frontiersin.org/articles/10.3389/fmicb.2023.1153952/full
ID情報
  • DOI : 10.3389/fmicb.2023.1153952
  • eISSN : 1664-302X

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