The DOI matches its Crossref record.
MHC studies in nonmodel vertebrates: what have we learned about natural selection in 15 years?
Open accessAbstract
Elucidating how natural selection promotes local adaptation in interaction with migration, genetic drift and mutation is a central aim of evolutionary biology. While several conceptual and practical limitations are still restraining our ability to study these processes at the DNA level, genes of the major histocompatibility complex (MHC) offer several assets that make them unique candidates for this purpose. Yet, it is unclear what general conclusions can be drawn after 15 years of empirical research that documented MHC diversity in the wild. The general objective of this review is to complement earlier literature syntheses on this topic by focusing on MHC studies other than humans and mice. This review first revealed a strong taxonomic bias, whereby many more studies of MHC diversity in natural populations have dealt with mammals than all other vertebrate classes combined. Secondly, it confirmed that positive selection has a determinant role in shaping patterns of nucleotide diversity in MHC genes in all vertebrates studied. Yet, future tests of positive selection would greatly benefit from making better use of the increasing number of models potentially offering more statistical rigour and higher resolution in detecting the effect and form of selection. Thirdly, studies that compared patterns of MHC diversity within and among natural populations with neutral expectations have reported higher population differentiation at MHC than expected either under neutrality or simple models of balancing selection. Fourthly, several studies showed that MHC-dependent mate preference and kin recognition may provide selective factors maintaining polymorphism in wild outbred populations. However, they also showed that such reproductive mechanisms are complex and context-based. Fifthly, several studies provided evidence that MHC may significantly influence fitness, either by affecting reproductive success or progeny survival to pathogens infections. Overall, the evidence is compelling that the MHC currently represents the best system available in vertebrates to investigate how natural selection can promote local adaptation at the gene level despite the counteracting actions of migration and genetic drift. We conclude this review by proposing several directions where future research is needed.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Sequencing of 53,831 diverse genomes from the NHLBI TOPMed Program
Taliun, D., Harris, D. N., Kessler, M. D., Carlson, J., Szpiech, Z. A., Torres, R., Taliun, S. A. G., Corvelo, A., Gogarten, S. M., Kang, H. M., et al. (2021) · Nature · doi:10.1038/s41586-021-03205-y · Cited by 2,213
The evolutionary ecology of the major histocompatibility complex
Piertney, S. B., & Oliver, M. K. (2006) · Heredity · doi:10.1038/sj.hdy.6800724 · Cited by 937
The importance of immune gene variability (MHC) in evolutionary ecology and conservation
Sommer, S. (2005) · Frontiers in Zoology · doi:10.1186/1742-9994-2-16 · Cited by 913
MHC-correlated mate choice in humans: A review
Havlicek, J., & Roberts, S. C. (2009) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2008.10.007 · Cited by 339
Does reduced MHC diversity decrease viability of vertebrate populations?
Radwan, J., Biedrzycka, A., & Babik, W. (2010) · Biological Conservation · doi:10.1016/j.biocon.2009.07.026 · Cited by 259
Metadata
- Authors
- Bernatchez, L., & Landry, C.
- Venue
- Journal of Evolutionary Biology
- Publisher
- Oxford University Press (OUP)
- Published
- 2003-05-01
- Volume
- 16
- Issue
- 3
- Pages
- 363-377
- ISSN
- 1010-061X (ISSN-L)
- 1420-9101
- OpenAlex
- W1652383174
- Cited by
- 890
- References
- 0
- FWCI
- 13.06
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: MHC studies in nonmodel vertebrates: what have we learned about natural selection in 15 years? https://app.cochat.ai/papers/10.1046/j.1420-9101.2003.00531.x
- The paper
- Bernatchez, L., & Landry, C. (2003). MHC studies in nonmodel vertebrates: what have we learned about natural selection in 15 years? Journal of Evolutionary Biology. https://doi.org/10.1046/j.1420-9101.2003.00531.x
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.