Evidence map›Paper›PMID 25178652›Full record

ArticleEvolution; international journal of organic evolution2014

Cryptic genetic variation can make "irreducible complexity" a common mode of adaptation in sexual populations.

Meredith V Trotter, Daniel B Weissman, Grant I Peterson, Kayla M Peck, Joanna Masel

Abstract read
In one paragraph

Article in Evolution; international journal of organic evolution, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. "Excluded phenotypes" restrict genetic paths toward adaptation in declining populations.Proceedings of the National Academy of Sciences of the United States of America · 2026
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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

5 authors.

Meredith V TrotterDepartment of Biology, Stanford University, Stanford, California, 95306; Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, Arizona, 85721.
Daniel B Weissman
Grant I Peterson
Kayla M Peck
Joanna Masel

Funding

THE CONVERSION OF NONCODING SEQUENCES INTO PROTEINSR01GM104040 · NIGMS · UNIVERSITY OF ARIZONA · PI CORDES, MATTHEW HJ, MASEL, JOANNA · 2013 to 2016
$839k
Towards a general theory of evolutionary capacitanceR01GM076041 · NIGMS · UNIVERSITY OF ARIZONA · PI MASEL, JOANNA · 2006 to 2009
$565k
European Research Council 250152NIGMS NIH HHS R01 GM076041NIGMS NIH HHS R01GM076041NIGMS NIH HHS R01 GM104040NIGMS NIH HHS R01GM104040
6 · The paper itself

Abstract

The existence of complex (multiple-step) genetic adaptations that are "irreducible" (i.e., all partial combinations are less fit than the original genotype) is one of the longest standing problems in evolutionary biology. In standard genetics parlance, these adaptations require the crossing of a wide adaptive valley of deleterious intermediate stages. Here, we demonstrate, using a simple model, that evolution can cross wide valleys to produce "irreducibly complex" adaptations by making use of previously cryptic mutations. When revealed by an evolutionary capacitor, previously cryptic mutants have higher initial frequencies than do new mutations, bringing them closer to a valley-crossing saddle in allele frequency space. Moreover, simple combinatorics implies an enormous number of candidate combinations exist within available cryptic genetic variation. We model the dynamics of crossing of a wide adaptive valley after a capacitance event using both numerical simulations and analytical approximations. Although individual valley crossing events become less likely as valleys widen, by taking the combinatorics of genotype space into account, we see that revealing cryptic variation can cause the frequent evolution of complex adaptations.

Indexed as

Evolution, MolecularGenetic VariationModels, GeneticAdaptation, PhysiologicalAnimalsFemaleHybridization, GeneticMaleAdaptive valleycomplex adaptationevolutionary capacitanceMoran modeltheoretical population genetics

Identifiers

PMID25178652
PMCPMC4258170

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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.