ArticleNature communications2020
Using metacommunity ecology to understand environmental metabolomes.
Article in Nature communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.
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Who cites it
34 citing papers in PubMed.
- Seasonal Trade-Offs Between Sedimentary Bacterial Generalists and Specialists Sustain Community Stability in Rivers.Environmental microbiology · 2026Article
- Soil microbial ecology and microbiome-metabolite linkages improve understanding of ecosystem states along terrestrial-aquatic interfaces.FEMS microbiology ecology · 2026Article
- Zooplankton Metabolism Shapes Molecular Composition of Dissolved Organic Matter in Coastal Waters.Environmental science & technology · 2026Article
- Phytochemical-based quality and marker identification of sweet tea (Food chemistry: X · 2026Article
- Review
- Microbial synthesis structures organic compound composition in anaerobic digestion.The ISME journal · 2026Article
- Metabolomics: A Viable Approach to Understand the Pathogenesis of Reactive ArthritisEndocrine, metabolic & immune disorders drug targets · 2026Review
- Nonliving respiration: Another breath in the soil?Science advances · 2025Article
- Bacterial richness enhances the thermostability of soil organic matter via a long-term trade-off between molecular diversity and thermodynamic stability.Nature food · 2025Article
- Logging disrupts the ecology of molecules in headwater streams.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Molecular diversity of dissolved organic matter reflects macroecological patterns in river networks.Scientific reports · 2025Article
- Article
- Sex-induced alterations in rumen microbial communities and metabolite profiles: implications for lamb body weight.BMC microbiology · 2025Article
- Decomposing the molecular complexity and transformation of dissolved organic matter for innovative anaerobic bioprocessing.Nature communications · 2025Article
- Organic molecules are deterministically assembled in variably inundated river sediments, but drivers remain unclear.Scientific reports · 2025Article
- Microbiome-metabolite linkages drive greenhouse gas dynamics over a permafrost thaw gradient.Nature microbiology · 2024Article
- Community successional patterns and inter-kingdom interactions during granular biofilm development.NPJ biofilms and microbiomes · 2024Article
- Unveiling the deterministic dynamics of microbial meta-metabolism: a multi-omics investigation of anaerobic biodegradation.Microbiome · 2024Article
- Disentangling drivers of mudflat intertidal DOM chemodiversity using ecological models.Nature communications · 2024Article
- Treeline displacement may affect lake dissolved organic matter processing at high latitudes and altitudes.Nature communications · 2024Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Environmental metabolomes are fundamentally coupled to microbially-linked biogeochemical processes within ecosystems. However, significant gaps exist in our understanding of their spatiotemporal organization, limiting our ability to uncover transferrable principles and predict ecosystem function. We propose that a theoretical paradigm, which integrates concepts from metacommunity ecology, is necessary to reveal underlying mechanisms governing metabolomes. We call this synthesis between ecology and metabolomics 'meta-metabolome ecology' and demonstrate its utility using a mass spectrometry dataset. We developed three relational metabolite dendrograms using molecular properties and putative biochemical transformations and performed ecological null modeling. Based upon null modeling results, we show that stochastic processes drove molecular properties while biochemical transformations were structured deterministically. We further suggest that potentially biochemically active metabolites were more deterministically assembled than less active metabolites. Understanding variation in the influences of stochasticity and determinism provides a way to focus attention on which meta-metabolomes and which parts of meta-metabolomes are most likely to be important to consider in mechanistic models. We propose that this paradigm will allow researchers to study the connections between ecological systems and their molecular processes in previously inaccessible detail.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.