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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

Articles, Abstracts, and Reports

The development of reliable, mixed-culture biotechnological processes hinges on understanding how microbial ecosystems respond to disturbances. Here we reveal extensive phenotypic plasticity and niche complementarity in oleaginous microbial populations from a biological wastewater treatment plant. We perform meta-omics analyses (metagenomics, metatranscriptomics, metaproteomics and metabolomics) on in situ samples over 14 months at weekly intervals. Based on 1,364 de novo metagenome-assembled genomes, we uncover four distinct fundamental niche types. Throughout the time-series, we observe a major, transient shift in community structure, coinciding with substrate availability changes. Functional omics data reveals extensive variation in gene expression and substrate usage amongst community members. …