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Cited by 558

The DOI matches its Crossref record; 92 of the 92 references it cites were found in a registry or an index.

Genetics and the Fitness of Hybrids

Burke, John M., Arnold, Michael L.·2001·Annual Review of Genetics

Abstract

▪ Abstract Over the years, the evolutionary importance of natural hybridization has been a contentious issue. At one extreme is the relatively common view of hybridization as an evolutionarily unimportant process. A less common perspective, but one that has gained support over the past decade, is that of hybridization as a relatively widespread and potentially creative evolutionary process. Indeed, studies documenting the production of hybrid genotypes exhibiting a wide range of fitnesses have become increasingly common. In this review, we examine the genetic basis of such variation in hybrid fitness. In particular, we assess the genetic architecture of hybrid inferiority (both sterility and inviability). We then extend our discussion to the genetic basis of increased fitness in certain hybrid genotypes. The available evidence argues that hybrid inferiority is the result of widespread negative epistasis in a hybrid genetic background. In contrast, increased hybrid fitness can be most readily explained through the segregation of additive genetic factors, with epistasis playing a more limited role.

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Crossref · 10.1146/annurev.genet.35.102401.085719

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Metadata

Authors
Burke, J. M., & Arnold, M. L.
Venue
Annual Review of Genetics
Published
2001-12
Volume
35
Issue
1
Pages
31-52
ISSN
  • 0066-4197 (ISSN-L)
  • 1545-2948
OpenAlex
W2100935052
Cited by
558
References
92
FWCI
0.89
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Genetics and the Fitness of Hybrids. https://app.cochat.ai/papers/10.1146/annurev.genet.35.102401.085719
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Burke, J. M., & Arnold, M. L. (2001). Genetics and the Fitness of Hybrids. Annual Review of Genetics. https://doi.org/10.1146/annurev.genet.35.102401.085719

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.