Nature Communications (Oct 2020)

Integration of time-series meta-omics data reveals how microbial ecosystems respond to disturbance

  • Malte Herold,
  • Susana Martínez Arbas,
  • Shaman Narayanasamy,
  • Abdul R. Sheik,
  • Luise A. K. Kleine-Borgmann,
  • Laura A. Lebrun,
  • Benoît J. Kunath,
  • Hugo Roume,
  • Irina Bessarab,
  • Rohan B. H. Williams,
  • John D. Gillece,
  • James M. Schupp,
  • Paul S. Keim,
  • Christian Jäger,
  • Michael R. Hoopmann,
  • Robert L. Moritz,
  • Yuzhen Ye,
  • Sujun Li,
  • Haixu Tang,
  • Anna Heintz-Buschart,
  • Patrick May,
  • Emilie E. L. Muller,
  • Cedric C. Laczny,
  • Paul Wilmes

DOI
https://doi.org/10.1038/s41467-020-19006-2
Journal volume & issue
Vol. 11, no. 1
pp. 1 – 14

Abstract

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Herold et al. present an integrated meta-omics framework to investigate how mixed microbial communities, such as oleaginous bacterial populations in biological wastewater treatment plants, respond with distinct adaptation strategies to disturbances. They show that community resistance and resilience are a function of phenotypic plasticity and niche complementarity.