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Category Text Publication
Reference Category Journals
DOI 10.1038/s41467-020-19006-2
Licence creative commons licence
Title (Primary) Integration of time-series meta-omics data reveals how microbial ecosystems respond to disturbance
Author Herold, M.; Martínez Arbas, S.; Narayanasamy, S.; Sheik, A.R.; Kleine-Borgmann, L.A.K.; Lebrun, L.A.; Kunath, B.J.; Roume, H.; Bessarab, I.; Williams, R.B.H.; Gillece, J.D.; Schupp, J.M.; Keim, P.S.; Jäger, C.; Hoopmann, M.R.; Moritz, R.L.; Ye, Y.; Li, S.; Tang, H.; Heintz-Buschart, A.; May, P.; Muller, E.E.L.; Laczny, C.C.; Wilmes, P.
Journal Nature Communications
Year 2020
Department BOOEK; iDiv
Volume 11
Page From art. 5281
Language englisch
Data and Software links
Abstract 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. Ex situ bioreactor experiments confirm that responses occur within five hours of a pulse disturbance, demonstrating rapid adaptation by specific populations. Our results show that community resistance and resilience are a function of phenotypic plasticity and niche complementarity, and set the foundation for future ecological engineering efforts.
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Herold, M., Martínez Arbas, S., Narayanasamy, S., Sheik, A.R., Kleine-Borgmann, L.A.K., Lebrun, L.A., Kunath, B.J., Roume, H., Bessarab, I., Williams, R.B.H., Gillece, J.D., Schupp, J.M., Keim, P.S., Jäger, C., Hoopmann, M.R., Moritz, R.L., Ye, Y., Li, S., Tang, H., Heintz-Buschart, A., May, P., Muller, E.E.L., Laczny, C.C., Wilmes, P. (2020):
Integration of time-series meta-omics data reveals how microbial ecosystems respond to disturbance
Nat. Commun. 11 , art. 5281