Evidence map›Paper›PMID 21888925›Full record

ArticleTheoretical population biology2011

The consequences of rare sexual reproduction by means of selfing in an otherwise clonally reproducing species.

Joanna Masel, David N Lyttle

Abstract read
In one paragraph

Article in Theoretical population biology, 2011. 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
1.2field-weighted citation impact, top 20% 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

7 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. Parasexuality ofFrontiers in cellular and infection microbiology · 2021
    Review
  4. Article
  5. Review
  6. Article
  7. 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

2 authors at 1 institution in 1 country.

Joanna MaselDepartment of Ecology & Evolutionary Biology, University of Arizona, Tucson, AZ 85721, USA. masel@u.arizona.edu
David N Lyttle
University of Arizona · US

Funding

Computational and Mathematical Modeling of Biomedical SystemsT32GM084905 · NIGMS · UNIVERSITY OF ARIZONA · PI SECOMB, TIMOTHY W. · 2009 to 2018
$2.2M
Towards a general theory of evolutionary capacitanceR01GM076041 · NIGMS · UNIVERSITY OF ARIZONA · PI MASEL, JOANNA · 2006 to 2009
$565k
NIGMS NIH HHS R01 GM076041NIGMS NIH HHS T32 GM084905
6 · The paper itself

Abstract

Clonal reproduction of diploids leads to an increase in heterozygosity over time. A single round of selfing will then create new homozygotic genotypes. Given the same allele frequencies, heritable genetic variation is larger when there are more extreme, i.e. homozygotic genotypes. So after a long clonal expansion, one round of selfing increases heritable genetic variation, but any fully or partially recessive deleterious alleles simultaneously impose a fitness cost. Here we calculate that the cost of selfing in the yeast Saccharomyces is experienced only by a minority of zygotes. This allows a round of selfing to act as an evolutionary capacitor to unlock genetic variation previously found in a cryptic heterozygous form. We calculate the evolutionary consequences rather than the evolutionary causes of sex. We explore a range of parameter values describing sexual frequencies, focusing especially on the parameter values known for wild Saccharomyces. Our results are largely robust to many other parameter value choices, so long as meiosis is rare relative to the strength of selection on heterozygotes. Results may also be limited to organisms with a small number of genes. We therefore expect the same phenomenon in some other species with similar reproductive strategies.

Indexed as

Biological EvolutionGenetic VariationMutationSaccharomycesSelection, Genetic

Identifiers

PMID21888925
PMCPMC3218209
OpenAlexW1980648947

What OpenQuestion holds

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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.