Evidence map›Paper›PMID 30721227›Full record

ArticlePLoS computational biology2019

Available energy fluxes drive a transition in the diversity, stability, and functional structure of microbial communities.

Robert Marsland, Wenping Cui, Joshua Goldford, Alvaro Sanchez, Kirill Korolev, Pankaj Mehta

Abstract read
In one paragraph

Article in PLoS computational biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 93 papers.

0numbers the graph read from it
0cells of the map it votes in
93citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

93 citing papers in PubMed.

  1. Article
  2. Article
  3. Global epistasis in ecosystems arises from resource constraints.bioRxiv : the preprint server for biology · 2026
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  18. A theory of ecological invasions and its implications for eco-evolutionary dynamics.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  19. Modelling the prebiotic origins of regulation and agency in evolving protocell ecologies.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025
    Article
  20. Article

33 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Robert MarslandDepartment of Physics, Boston University, Boston, MA, USA.ORCID 0000-0002-5007-6877
Wenping CuiDepartment of Physics, Boston University, Boston, MA, USA.ORCID 0000-0002-9900-5092
Joshua GoldfordBioinformatics Program, Boston University, Boston, MA, USA.ORCID 0000-0001-7315-8018
Alvaro SanchezDepartment of Ecology and Evolutionary Biology, Yale University, New Haven, CT, USA.ORCID 0000-0002-2292-5608
Kirill KorolevDepartment of Physics, Boston University, Boston, MA, USA.
Pankaj MehtaDepartment of Physics, Boston University, Boston, MA, USA.

Funding

MODELING EMERGENT BEHAVIORS IN SYSTEMS BIOLOGY: A BIOLOGICAL PHYSICS APPROACHR35GM119461 · NIGMS · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI Pankaj Mehta · 2016 to 2026
$3.6M
NIGMS NIH HHS R35 GM119461
6 · The paper itself

Abstract

A fundamental goal of microbial ecology is to understand what determines the diversity, stability, and structure of microbial ecosystems. The microbial context poses special conceptual challenges because of the strong mutual influences between the microbes and their chemical environment through the consumption and production of metabolites. By analyzing a generalized consumer resource model that explicitly includes cross-feeding, stochastic colonization, and thermodynamics, we show that complex microbial communities generically exhibit a transition as a function of available energy fluxes from a "resource-limited" regime where community structure and stability is shaped by energetic and metabolic considerations to a diverse regime where the dominant force shaping microbial communities is the overlap between species' consumption preferences. These two regimes have distinct species abundance patterns, different functional profiles, and respond differently to environmental perturbations. Our model reproduces large-scale ecological patterns observed across multiple experimental settings such as nestedness and differential beta diversity patterns along energy gradients. We discuss the experimental implications of our results and possible connections with disorder-induced phase transitions in statistical physics.

Indexed as

EcosystemComputational BiologyDatabases, FactualEnergy MetabolismMicrobial ConsortiaModels, BiologicalStochastic ProcessesThermodynamics

Identifiers

PMID30721227
PMCPMC6386421

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.