Evidence map›Paper›PMID 18245356›Full record

ArticleGenetics2008

Accelerated mitochondrial evolution and "Darwin's corollary": asymmetric viability of reciprocal F1 hybrids in Centrarchid fishes.

Daniel I Bolnick, Michael Turelli, Hernán López-Fernández, Peter C Wainwright, Thomas J Near

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Article in Genetics, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

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0cells of the map it votes in
39citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

39 citing papers in PubMed.

  1. Fisher's Geometric Model as a Tool to Study Speciation.Cold Spring Harbor perspectives in biology · 2024
    Review
  2. Morphological variation inEcology and evolution · 2024
    Article
  3. Article
  4. Article
  5. Article
  6. The diverse effects of phenotypic dominance on hybrid fitness.Evolution; international journal of organic evolution · 2022
    Article
  7. Review
  8. The role of mitonuclear incompatibilities in allopatric speciation.Cellular and molecular life sciences : CMLS · 2022
    Review
  9. Article
  10. Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Article
4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Daniel I BolnickSection of Integrative Biology, University of Texas, Austin, Texas 78712, USA. danbolnick@mail.utexas.edu
Michael Turelli
Hernán López-Fernández
Peter C Wainwright
Thomas J Near

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Reciprocal crosses between species can yield hybrids with different viabilities. The high frequency of this asymmetric hybrid viability ("Darwin's corollary") places it alongside Haldane's rule and the "large-X effect" as a general feature of postmating reproductive isolation. Recent theory suggests that reciprocal cross asymmetries can arise from stochastic substitutions in uniparentally inherited loci such as mitochondrial genomes, although large systematic differences in mitochondrial substitution rates can also contribute to asymmetries. Although the magnitude of asymmetry will be relatively insensitive to unequal rates of mitochondrial evolution in diverging species, we show here that rate asymmetries can have a large effect on the direction of viability asymmetries. In reciprocal crosses between species, the maternal parent with faster mitochondrial evolution will tend to produce less viable F(1) hybrids owing to an increased probability of mito-nuclear incompatibilities. We test this prediction using data on reciprocal hybrid viability and molecular evolution rates from a clade of freshwater fishes, Centrarchidae. As predicted, species with accelerated mitochondrial evolution tend to be the worse maternal parent for F(1) hybrids, providing the first comparative evidence for a systematic basis to Darwin's corollary. This result is consistent with the hypothesis that mito-nuclear incompatibilities can play an important role in reproductive isolation. Such asymmetrical reproductive isolation may help explain the asymmetrical mitochondrial introgression observed between many hybridizing species. However, as with any comparative study, we cannot rule out the possibility that our results arise from a mutual correlation with a third variable such as body size.

Indexed as

Evolution, MolecularModels, GeneticAnimalsCrosses, GeneticFemaleMaleMitochondriaPerciformesPhylogenySurvival

Identifiers

PMID18245356
PMCPMC2248366

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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.