Evidence map›Paper›PMID 42282679›Full record

ArticlebioRxiv : the preprint server for biology2026

Complex adaptive architectures constrain the pace of adaptations sweeping across human gut microbiomes.

Peter J Laurin, Nandita R Garud

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Peter J LaurinDepartment of Ecology and Evolutionary Biology, University of California, Los Angeles.ORCID 0000-0003-0294-514X
Nandita R GarudDepartment of Ecology and Evolutionary Biology, University of California, Los Angeles.ORCID 0000-0003-4217-4407

Funding

Training Grant in Genomic Analysis and InterpretationT32HG002536 · NHGRI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Valerie A Arboleda, Harold Pimentel · 2002 to 2026
$8.6M
Evolutionary Dynamics of the Human Gut Microbiome During ColonizationR35GM151023 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Nandita Garud · 2023 to 2026
$1.5M
NHGRI NIH HHS T32 HG002536NIGMS NIH HHS R35 GM151023
6 · The paper itself

Abstract

Recent work has shown that commensal gut bacteria can evolve rapidly within hosts on short timescales of days to months, fueled by the enormous mutational input generated daily in the microbiome. Yet how rapidly adaptations spread across gut microbiomes of different hosts remains unclear. We address this question by estimating the number of independent origins of gene-specific sweeps spreading via recombination across bacterial populations. Multiple origins (soft sweeps) indicate that adaptive mutations arise rapidly whereas one origin (hard sweeps) indicate slower mutational input. Contrary to expectations of rapid adaptation, we find that many gene-specific sweeps have only one or a few origins. We show that this requires that sweeps arise from adaptive mutation rates orders of magnitude lower than single base pair mutation rates. This implies that gene-specific sweeps bear difficult-to-mutate complex adaptations such as structural or epistatic variants. Consistent with this interpretation, we find that identified sweep regions exhibit patterns of nucleotide diversity and linkage disequilibrium inconsistent with a single adaptive mutation rising to high frequency. We conclude that recombination across human gut microbiomes enables the spread of adaptations with complex genetic architectures that otherwise would require a long waiting time to generate

Identifiers

PMID42282679
PMCPMC13251907

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.