Detecting balancing selection in genomes: limits and prospects
- PMID: 25943689
- DOI: 10.1111/mec.13226
Detecting balancing selection in genomes: limits and prospects
Abstract
In spite of the long-term interest in the process of balancing selection, its frequency in genomes and evolutionary significance remain unclear due to challenges related to its detection. Current statistical approaches based on patterns of variation observed in molecular data suffer from low power and a high incidence of false positives. This raises the question whether balancing selection is rare or is simply difficult to detect. We discuss genetic signatures produced by this mode of selection and review the current approaches used for their identification in genomes. Advantages and disadvantages of the available methods are presented, and areas where improvement is possible are identified. Increased specificity and reduced rate of false positives may be achieved by using a demographic model, applying combinations of tests, appropriate sampling scheme and taking into account intralocus variation in selection pressures. We emphasize novel solutions, recently developed model-based approaches and good practices that should be implemented in future studies looking for signals of balancing selection. We also draw attention of the readers to the results of recent theoretical studies, which suggest that balancing selection may be ubiquitous but transient, leaving few signatures detectable by existing methods. Testing this new theory may require the development of novel high-throughput methods extending beyond genomic scans.
Keywords: balancing selection; genetic variation; genomic scan; population genetics.
© 2015 John Wiley & Sons Ltd.
Similar articles
-
Detecting Long-Term Balancing Selection Using Allele Frequency Correlation.Mol Biol Evol. 2017 Nov 1;34(11):2996-3005. doi: 10.1093/molbev/msx209. Mol Biol Evol. 2017. PMID: 28981714 Free PMC article.
-
Detecting Positive Selection in Populations Using Genetic Data.Methods Mol Biol. 2020;2090:87-123. doi: 10.1007/978-1-0716-0199-0_5. Methods Mol Biol. 2020. PMID: 31975165
-
The molecular signature of selection underlying human adaptations.Am J Phys Anthropol. 2006;Suppl 43:89-130. doi: 10.1002/ajpa.20518. Am J Phys Anthropol. 2006. PMID: 17103426 Review.
-
Genomic resources and their influence on the detection of the signal of positive selection in genome scans.Mol Ecol. 2016 Jan;25(1):170-84. doi: 10.1111/mec.13468. Epub 2015 Dec 17. Mol Ecol. 2016. PMID: 26562485 Review.
-
Detection of signatures of selection using Fst.Methods Mol Biol. 2013;1019:423-36. doi: 10.1007/978-1-62703-447-0_19. Methods Mol Biol. 2013. PMID: 23756903
Cited by
-
Genomic insights into Yak (Bos grunniens) adaptations for nutrient assimilation in high-altitudes.Sci Rep. 2024 Mar 7;14(1):5650. doi: 10.1038/s41598-024-55712-3. Sci Rep. 2024. PMID: 38453987 Free PMC article.
-
Genome-wide detection of positive and balancing signatures of selection shared by four domesticated rainbow trout populations (Oncorhynchus mykiss).Genet Sel Evol. 2024 Feb 22;56(1):13. doi: 10.1186/s12711-024-00884-9. Genet Sel Evol. 2024. PMID: 38389056 Free PMC article.
-
Genome-wide assessment of genetic diversity and transcript variations in 17 accessions of the model diatom Phaeodactylum tricornutum.ISME Commun. 2024 Jan 10;4(1):ycad008. doi: 10.1093/ismeco/ycad008. eCollection 2024 Jan. ISME Commun. 2024. PMID: 38304080 Free PMC article.
-
Unique footprints of balancing selection in bovine genome.3 Biotech. 2024 Feb;14(2):55. doi: 10.1007/s13205-024-03914-x. Epub 2024 Jan 26. 3 Biotech. 2024. PMID: 38282911
-
Patterns of evolution in MHC class II DQA and DQB exon 2 genes of Alpine mountain hares, Lepus timidus varronis, and sympatric and parapatric brown hares, L. europaeus, from Switzerland.Immunogenetics. 2024 Feb;76(1):37-50. doi: 10.1007/s00251-023-01328-2. Epub 2023 Dec 20. Immunogenetics. 2024. PMID: 38114658
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources
