Evidence map›Paper›PMID 26660159›Full record

ArticleGenome biology and evolution2015

Evolvability of an Optimal Recombination Rate.

Alexander E Lobkovsky, Yuri I Wolf, Eugene V Koonin

Open access · goldAbstract read
In one paragraph

Article in Genome biology and evolution, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.0field-weighted citation impact, top 12% of its field
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

8 citing papers in PubMed, 17 citations in OpenAlex.

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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 at 2 institutions in 1 country.

Alexander E LobkovskyNational Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, Maryland.
Yuri I WolfNational Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, Maryland.
Eugene V KooninNational Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, Maryland koonin@ncbi.nlm.nih.gov.
National Institutes of Health · USNational Center for Biotechnology Information · US

Funding

Comparative Analysis Of Completely Sequenced GenomesZIALM000073 · NLM · NATIONAL LIBRARY OF MEDICINE · PI KOONIN, EUGENE V · 2009 to 2025
$43.1M
Intramural NIH HHS
6 · The paper itself

Abstract

Evolution and maintenance of genetic recombination and its relation to the mutational process is a long-standing, fundamental problem in evolutionary biology that is linked to the general problem of evolution of evolvability. We explored a stochastic model of the evolution of recombination using additive fitness and infinite allele assumptions but no assumptions on the sign or magnitude of the epistasis and the distribution of mutation effects. In this model, fluctuating negative epistasis and predominantly deleterious mutations arise naturally as a consequence of the additive fitness and a reservoir from which new alleles arrive with a fixed distribution of fitness effects. Analysis of the model revealed a nonmonotonic effect of recombination intensity on fitness, with an optimal recombination rate value which maximized fitness in steady state. The optimal recombination rate depended on the mutation rate and was evolvable, that is, subject to selection. The predictions of the model were compatible with the observations on the dependence between genome rearrangement rate and gene flux in microbial genomes.

Indexed as

Mutation RateRecombination, GeneticGenome, ArchaealGenome, BacterialModels, Geneticallele replacementevolvabilitygene fluxgenomerearrangementrecombination

Identifiers

PMID26660159
PMCPMC4758245
OpenAlexW2214414678

What OpenQuestion holds

Textmetadata
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.