Evidence map›Paper›PMID 38961275›Full record

ReviewMolecular systems biology2024

Evolution and stability of complex microbial communities driven by trade-offs.

Yanqing Huang, Avik Mukherjee, Severin Schink, Nina Catherine Benites, Markus Basan

Abstract readReview
In one paragraph

Review in Molecular systems biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Microbial biotechnology meets ecological theory: a unified framework to design industrial microbial consortia.International microbiology : the official journal of the Spanish Society for Microbiology · 2026
    Review
  5. Article
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

5 authors.

Yanqing Huang *Harvard Medical School, Department of Systems Biology, Boston, USA.ORCID http://orcid.org/0000-0002-6199-7540
Avik Mukherjee *Harvard Medical School, Department of Systems Biology, Boston, USA.ORCID http://orcid.org/0000-0001-6190-5223
Severin SchinkHarvard Medical School, Department of Systems Biology, Boston, USA.
Nina Catherine BenitesHarvard Medical School, Department of Systems Biology, Boston, USA.
Markus BasanHarvard Medical School, Department of Systems Biology, Boston, USA. markus@hms.harvard.edu.ORCID http://orcid.org/0000-0002-9396-521X

Funding

Elucidating physiology of dormant bacteria to combat antibiotic persistenceR35GM137895 · NIGMS · HARVARD MEDICAL SCHOOL · PI Markus Thomas Basan · 2020 to 2026
$3.2M
Harvard Systems Biology Graduate ProgramT32GM135014 · NIGMS · HARVARD UNIVERSITY · PI DESAI, MICHAEL M, KLEIN, ALLON MOSHE · 2020 to 2024
$1.6M
HHS | NIH | National Institute of General Medical Sciences (NIGMS) 5R35GM137895HMS | Department of Systems Biology, Harvard Medical School (Department of Systems Biology) T32GM135014NIGMS NIH HHS R35 GM137895NIGMS NIH HHS T32 GM135014NSF | National Science Foundation Graduate Research Fellowship Program (GRFP) DGE 2140743
6 · The paper itself

Abstract

Microbial communities are ubiquitous in nature and play an important role in ecology and human health. Cross-feeding is thought to be core to microbial communities, though it remains unclear precisely why it emerges. Why have multi-species microbial communities evolved in many contexts and what protects microbial consortia from invasion? Here, we review recent insights into the emergence and stability of coexistence in microbial communities. A particular focus is the long-term evolutionary stability of coexistence, as observed for microbial communities that spontaneously evolved in the E. coli long-term evolution experiment (LTEE). We analyze these findings in the context of recent work on trade-offs between competing microbial objectives, which can constitute a mechanistic basis for the emergence of coexistence. Coexisting communities, rather than monocultures of the 'fittest' single strain, can form stable endpoints of evolutionary trajectories. Hence, the emergence of coexistence might be an obligatory outcome in the evolution of microbial communities. This implies that rather than embodying fragile metastable configurations, some microbial communities can constitute formidable ecosystems that are difficult to disrupt.

Indexed as

Biological EvolutionEscherichia coliMicrobiotaEcosystemMicrobial ConsortiaCoexistenceEvolutionMicrobial CommunitiesTrade-offs

Identifiers

PMID38961275
PMCPMC11369148

What OpenQuestion holds

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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.