Population Genomic Scans for Natural Selection and Demography
- PMID: 39227130
- DOI: 10.1146/annurev-genet-111523-102651
Population Genomic Scans for Natural Selection and Demography
Abstract
Uncovering the fundamental processes that shape genomic variation in natural populations is a primary objective of population genetics. These processes include demographic effects such as past changes in effective population size or gene flow between structured populations. Furthermore, genomic variation is affected by selection on nonneutral genetic variants, for example, through the adaptation of beneficial alleles or balancing selection that maintains genetic variation. In this article, we discuss the characterization of these processes using population genetic models, and we review methods developed on the basis of these models to unravel the underlying processes from modern population genomic data sets. We briefly discuss the conditions in which these approaches can be used to infer demography or identify specific nonneutral genetic variants and cases in which caution is warranted. Moreover, we summarize the challenges of jointly inferring demography and selective processes that affect neutral variation genome-wide.
Keywords: demographic history; genomic variation; natural selection; population genetics.
Similar articles
-
Deleterious variation shapes the genomic landscape of introgression.PLoS Genet. 2018 Oct 22;14(10):e1007741. doi: 10.1371/journal.pgen.1007741. eCollection 2018 Oct. PLoS Genet. 2018. PMID: 30346959 Free PMC article.
-
A general population genetic framework for antagonistic selection that accounts for demography and recurrent mutation.Genetics. 2012 Apr;190(4):1477-89. doi: 10.1534/genetics.111.137117. Epub 2012 Jan 31. Genetics. 2012. PMID: 22298707 Free PMC article.
-
[From population genetics to population genomics of forest trees: integrated population genomics approach].Genetika. 2006 Oct;42(10):1304-18. Genetika. 2006. PMID: 17152702 Review. Russian.
-
Genomic inference using diffusion models and the allele frequency spectrum.Curr Opin Genet Dev. 2018 Dec;53:140-147. doi: 10.1016/j.gde.2018.10.001. Epub 2018 Oct 23. Curr Opin Genet Dev. 2018. PMID: 30366252 Review.
-
Deep Learning for Population Genetic Inference.PLoS Comput Biol. 2016 Mar 28;12(3):e1004845. doi: 10.1371/journal.pcbi.1004845. eCollection 2016 Mar. PLoS Comput Biol. 2016. PMID: 27018908 Free PMC article.
Cited by
-
On the use of generative models for evolutionary inference of malaria vectors from genomic data.bioRxiv [Preprint]. 2025 Jun 27:2025.06.26.661760. doi: 10.1101/2025.06.26.661760. bioRxiv. 2025. PMID: 40667127 Free PMC article. Preprint.
-
Flax domesticationprocesses as inferred from genome-wide SNP data.Sci Rep. 2025 Mar 13;15(1):8731. doi: 10.1038/s41598-025-89498-9. Sci Rep. 2025. PMID: 40082459 Free PMC article.
Publication types
MeSH terms
Grants and funding
LinkOut - more resources
Full Text Sources
Miscellaneous