Metabolomics,Multiomics

Dataset Information

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


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.

OTHER RELATED OMICS DATASETS IN: PXD013655

INSTRUMENT(S): Gas Chromatography MS - positive

SUBMITTER: Christian Jaeger 

PROVIDER: MTBLS2021 | MetaboLights | 2021-04-06

REPOSITORIES: MetaboLights

Dataset's files

Source:
Action DRS
MTBLS2021 Other
FILES Other
a_MTBLS2021_GC-MS_positive__metabolite_profiling.txt Txt
i_Investigation.txt Txt
m_MTBLS2021_GC-MS_positive__metabolite_profiling_v2_maf.tsv Tabular
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Publications


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 ge  ...[more]

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