Evidence map›Paper›PMID 23209877›Full record

ArticleScientific reports2012

Accelerated crossing of fitness valleys through division of labor and cheating in asexual populations.

Natalia L Komarova, Erin Urwin, Dominik Wodarz

Abstract read
In one paragraph

Article in Scientific reports, 2012. 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. Collapse of cooperation in evolving games.Proceedings of the National Academy of Sciences of the United States of America · 2014
    Article
  5. Spatial interactions and cooperation can change the speed of evolution of complex phenotypes.Proceedings of the National Academy of Sciences of the United States of America · 2014
    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

3 authors.

Natalia L KomarovaDepartment of Mathematics, Rowland Hall, University of California , Irvine, CA 92697, USA. komarova@uci.edu
Erin Urwin
Dominik Wodarz

Funding

Measuring Methylation Kinetics in Cancer Cells: Computations and ExperimentsR01CA129286 · NCI · UNIVERSITY OF CALIFORNIA-IRVINE · PI KOMAROVA, NATALIA L · 2008 to 2012
$1.5M
Viruis Dynamics and Multiple Infection of Cells: Computational and Experimental AR01AI093998 · NIAID · UNIVERSITY OF CALIFORNIA-IRVINE · PI LEVY, DAVID N, WODARZ, DOMINIK F · 2011 to 2014
$1.5M
NCI NIH HHS 1R01CA129286NCI NIH HHS R01 CA129286NIAID NIH HHS 1R01AI093998-01A1NIAID NIH HHS R01 AI093998
6 · The paper itself

Abstract

Complex traits can require the accumulation of multiple mutations that are individually deleterious. Their evolution requires a fitness valley to be crossed, which can take relatively long time spans. A new evolutionary mechanism is described that accelerates the emergence of complex phenotypes, based on a "division of labor" game and the occurrence of cheaters. If each intermediate mutation leads to a product that can be shared with others, the complex type can arise relatively quickly as an emergent property among cooperating individuals, without any given individual having to accumulate all mutations. Moreover, the emergence of cheaters that destroy cooperative interactions can lead to the emergence of individuals that have accumulated all necessary mutations on a time scale that is significantly faster than observed in the absence of cooperation and cheating. Application of this mechanism to somatic and microbial evolution is discussed, including evolutionary processes in tumors, biofilms, and viral infections.

Indexed as

Genetic FitnessReproduction, AsexualBiological EvolutionComputer SimulationModels, GeneticMultifactorial InheritanceMutationPhenotype

Identifiers

PMID23209877
PMCPMC3512085

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.