ReviewiScience2022
An ensemble approach to the structure-function problem in microbial communities.
Review in iScience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
14 citing papers in PubMed.
- From functional annotation to functional meaning in microbiome research.Environmental microbiome · 2026Review
- Diverse Microbial Communities Assemble on Both Recalcitrant and Labile Carbon Sources.Environmental microbiology · 2026Article
- Epistatic interactions inform rational design of synthetic microbial communities for bioremediation.Nature microbiology · 2026Article
- Microbial biotechnology meets ecological theory: a unified framework to design industrial microbial consortia.International microbiology : the official journal of the Spanish Society for Microbiology · 2026Review
- Two worlds beneath: Distinct microbial strategies of the rock-attached and planktonic subsurface biosphere.Microbiome · 2026Article
- Environmental selection constrains metabolic network architecture despite taxonomic turnover in anaerobic digestion communities.The ISME journal · 2026Article
- Collective Microbial Effects Drive Toxin Bioremediation and Enable Rational Design.bioRxiv : the preprint server for biology · 2025Article
- Environmental modulators of algae-bacteria interactions at scale.Cell systems · 2024Article
- Data-driven prediction of colonization outcomes for complex microbial communities.Nature communications · 2024Article
- Searching for Principles of Microbial Ecology Across Levels of Biological Organization.Integrative and comparative biology · 2023Article
- Plants and endophytes interaction: a "secret wedlock" for sustainable biosynthesis of pharmaceutically important secondary metabolites.Microbial cell factories · 2023Review
- Article
- Evolutionary repeatability of emergent properties of ecological communities.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023Review
- Ecological landscapes guide the assembly of optimal microbial communities.PLoS computational biology · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The metabolic activity of microbial communities plays a primary role in the flow of essential nutrients throughout the biosphere. Molecular genetics has revealed the metabolic pathways that model organisms utilize to generate energy and biomass, but we understand little about how the metabolism of diverse, natural communities emerges from the collective action of its constituents. We propose that quantifying and mapping metabolic fluxes to sequencing measurements of genomic, taxonomic, or transcriptional variation across an ensemble of diverse communities, either in the laboratory or in the wild, can reveal low-dimensional descriptions of community structure that can explain or predict their emergent metabolic activity. We survey the types of communities for which this approach might be best suited, review the analytical techniques available for quantifying metabolite fluxes in communities, and discuss what types of data analysis approaches might be lucrative for learning the structure-function mapping in communities from these data.
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What OpenQuestion holds
Registered trials
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.