Evidence map›Paper›PMID 31910213›Full record

ArticlePLoS computational biology2020

Increasing growth rate slows adaptation when genotypes compete for diffusing resources.

Jeremy M Chacón, Allison K Shaw, William R Harcombe

Abstract read
In one paragraph

Article in PLoS computational biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

3 authors.

Jeremy M ChacónUniversity of Minnesota, Department of Ecology, Evolution, and Behavior, St. Paul, Minnesota, United States of America.ORCID 0000-0002-6129-2604
Allison K ShawUniversity of Minnesota, Department of Ecology, Evolution, and Behavior, St. Paul, Minnesota, United States of America.ORCID 0000-0001-7969-8365
William R HarcombeUniversity of Minnesota, Department of Ecology, Evolution, and Behavior, St. Paul, Minnesota, United States of America.ORCID 0000-0001-8445-2052

Funding

Systems biology and the evolutionary dynamics in a synthetic microbial communityR01GM121498 · NIGMS · UNIVERSITY OF MINNESOTA · PI HARCOMBE, WILLIAM · 2017 to 2021
$1.5M
NIGMS NIH HHS R01 GM121498
6 · The paper itself

Abstract

The rate at which a species responds to natural selection is a central predictor of the species' ability to adapt to environmental change. It is well-known that spatially-structured environments slow the rate of adaptation due to increased intra-genotype competition. Here, we show that this effect magnifies over time as a species becomes better adapted and grows faster. Using a reaction-diffusion model, we demonstrate that growth rates are inextricably coupled with effective spatial scales, such that higher growth rates cause more localized competition. This has two effects: selection requires more generations for beneficial mutations to fix, and spatially-caused genetic drift increases. Together, these effects diminish the value of additional growth rate mutations in structured environments.

Indexed as

Models, GeneticPopulation GrowthAdaptation, BiologicalGenetic DriftGenotypeMutationSelection, Genetic

Identifiers

PMID31910213
PMCPMC6946136

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.