Genomic prediction of the recombination rate variation in barley – A route to highly recombinogenic genotypes. Issue 4 (11th December 2021)

• Record Type: Journal Article
• Authors: Casale, Federico; Van Inghelandt, Delphine; Weisweiler, Marius; Li, Jinquan; Stich, Benjamin
• Is Part Of: Plant biotechnology journal. Volume 20:Issue 4(2022)
• Page Start: 676
• Page End: 690
• Publication Date: 2021-12-11
• Subjects: recombination rate -- genomic prediction -- GBLUP -- plant breeding; Plant biotechnology -- Periodicals; Plant genetic engineering -- Periodicals; 630.272
• DOI: 10.1111/pbi.13746
• Languages: English
• ISSNs: 1467-7644

Abstract

Summary: Meiotic recombination is not only fundamental to the adaptation of sexually reproducing eukaryotes in nature but increased recombination rates facilitate the combination of favourable alleles into a single haplotype in breeding programmes. The main objectives of this study were to (i) assess the extent and distribution of the recombination rate variation in cultivated barley ( Hordeum vulgare L.), (ii) quantify the importance of the general and specific recombination effects, and (iii) evaluate a genomic selection approach's ability to predict the recombination rate variation. Genetic maps were created for the 45 segregating populations that were derived from crosses among 23 spring barley inbreds with origins across the world. The genome‐wide recombination rate among populations ranged from 0.31 to 0.73 cM/Mbp. The crossing design used in this study allowed to separate the general recombination effects (GRE) of individual parental inbreds from the specific recombination effects (SRE) caused by the combinations of parental inbreds. The variance of the genome‐wide GRE was found to be about eight times the variance of the SRE. This finding indicated that parental inbreds differ in the efficiency of their recombination machinery. The ability to predict the chromosome or genome‐wide recombination rate of an inbred ranged from 0.80 to 0.85. These results suggest that a reliable screening of large genetic materials for their potential to cause a high extent of genetic recombination in their progeny is possible, allowing to systematically manipulate the recombination rate using natural variation.