RecView: an interactive R application for locating recombination positions using pedigree data

Recombination reshuffles alleles at linked loci, allowing genes to evolve independently and consequently enhancing the efficiency of selection. This makes quantifying recombination along chromosomes an important goal for understanding how selection and drift are acting on genes and chromosomes. We p...

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Veröffentlicht in:BMC genomics 2023-11, Vol.24 (1), p.1-712, Article 712
Hauptverfasser: Zhang, Hongkai, Hansson, Bengt
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Sprache:eng
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Zusammenfassung:Recombination reshuffles alleles at linked loci, allowing genes to evolve independently and consequently enhancing the efficiency of selection. This makes quantifying recombination along chromosomes an important goal for understanding how selection and drift are acting on genes and chromosomes. We present RecView, an interactive R application and its homonymous R package, to facilitate locating recombination positions along chromosomes or scaffolds using whole-genome genotype data of a three-generation pedigree. RecView analyses and plots the grandparent-of-origin of all informative alleles along each chromosome of the offspring in the pedigree, and infers recombination positions with either of two built-in algorithms: one based on change in the proportion of the alleles with specific grandparent-of-origin, and one on the degree of continuity of alleles with the same grandparent-of-origin. RecView handles multiple offspring and chromosomes simultaneously, and all putative recombination positions are reported in base pairs together with an estimated precision based on the local density of informative alleles. We demonstrate RecView using genotype data of a passerine bird with an available reference genome, the great reed warbler (Acrocephalus arundinaceus), and show that recombination events can be located to specific positions. RecView is an easy-to-use and highly effective application for locating recombination positions with high precision. RecView is available on GitHub (https://github.com/HKyleZhang/RecView.git).
ISSN:1471-2164
1471-2164
DOI:10.1186/s12864-023-09807-2