Estimating the rates of crossover and gene conversion from individual genomes.
crossover
gene conversion
recombination
Journal
Genetics
ISSN: 1943-2631
Titre abrégé: Genetics
Pays: United States
ID NLM: 0374636
Informations de publication
Date de publication:
30 08 2022
30 08 2022
Historique:
received:
11
05
2022
accepted:
01
06
2022
pubmed:
1
7
2022
medline:
9
9
2022
entrez:
30
6
2022
Statut:
ppublish
Résumé
Recombination can occur either as a result of crossover or gene conversion events. Population genetic methods for inferring the rate of recombination from patterns of linkage disequilibrium generally assume a simple model of recombination that only involves crossover events and ignore gene conversion. However, distinguishing the 2 processes is not only necessary for a complete description of recombination, but also essential for understanding the evolutionary consequences of inversions and other genomic partitions in which crossover (but not gene conversion) is reduced. We present heRho, a simple composite likelihood scheme for coestimating the rate of crossover and gene conversion from individual diploid genomes. The method is based on analytic results for the distance-dependent probability of heterozygous and homozygous states at 2 loci. We apply heRho to simulations and data from the house mouse Mus musculus castaneus, a well-studied model. Our analyses show (1) that the rates of crossover and gene conversion can be accurately coestimated at the level of individual chromosomes and (2) that previous estimates of the population scaled rate of recombination ρ=4Ner under a pure crossover model are likely biased.
Identifiants
pubmed: 35771626
pii: 6623412
doi: 10.1093/genetics/iyac100
pmc: PMC9434185
pii:
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Informations de copyright
© The Author(s) 2022. Published by Oxford University Press on behalf of Genetics Society of America.
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