» Articles » PMID: 36331396

If It Ain't Broke, Don't Fix It: Evaluating the Effect of Increased Recombination on Response to Selection for Wheat Breeding

Overview
Journal G3 (Bethesda)
Date 2022 Nov 4
PMID 36331396
Authors
Affiliations
Soon will be listed here.
Abstract

Meiotic recombination is a source of allelic diversity, but the low frequency and biased distribution of crossovers that occur during meiosis limits the genetic variation available to plant breeders. Simulation studies previously identified that increased recombination frequency can retain more genetic variation and drive greater genetic gains than wildtype recombination. Our study was motivated by the need to define desirable recombination intervals in regions of the genome with fewer crossovers. We hypothesized that deleterious variants, which can negatively impact phenotypes and occur at higher frequencies in low recombining regions where they are linked in repulsion with favorable loci, may offer a signal for positioning shifts of recombination distributions. Genomic selection breeding simulation models based on empirical wheat data were developed to evaluate increased recombination frequency and changing recombination distribution on response to selection. Comparing high and low values for a range of simulation parameters identified that few combinations retained greater genetic variation and fewer still achieved higher genetic gain than wildtype. More recombination was associated with loss of genomic prediction accuracy, which outweighed the benefits of disrupting repulsion linkages. Irrespective of recombination frequency or distribution and deleterious variant annotation, enhanced response to selection under increased recombination required polygenic trait architecture, high heritability, an initial scenario of more repulsion than coupling linkages, and greater than 6 cycles of genomic selection. Altogether, the outcomes of this research discourage a controlled recombination approach to genomic selection in wheat as a more efficient path to retaining genetic variation and increasing genetic gains compared with existing breeding methods.

Citing Articles

Potential approaches to create ultimate genotypes in crops and livestock.

Hayes B, Mahony T, Villiers K, Warburton C, Kemper K, Dinglasan E Nat Genet. 2024; 56(11):2310-2317.

PMID: 39402155 DOI: 10.1038/s41588-024-01942-0.


Partial cytological diploidization of neoautotetraploid meiosis by induced cross-over rate reduction.

Gonzalo A, Parra-Nunez P, Bachmann A, Sanchez-Moran E, Bomblies K Proc Natl Acad Sci U S A. 2023; 120(33):e2305002120.

PMID: 37549263 PMC: 10434300. DOI: 10.1073/pnas.2305002120.


Exploring impact of recombination landscapes on breeding outcomes.

Epstein R, Sajai N, Zelkowski M, Zhou A, Robbins K, Pawlowski W Proc Natl Acad Sci U S A. 2023; 120(14):e2205785119.

PMID: 36972450 PMC: 10083619. DOI: 10.1073/pnas.2205785119.

References
1.
Rodgers-Melnick E, Bradbury P, Elshire R, Glaubitz J, Acharya C, Mitchell S . Recombination in diverse maize is stable, predictable, and associated with genetic load. Proc Natl Acad Sci U S A. 2015; 112(12):3823-8. PMC: 4378432. DOI: 10.1073/pnas.1413864112. View

2.
Johnsson M, Gaynor R, Jenko J, Gorjanc G, de Koning D, Hickey J . Removal of alleles by genome editing (RAGE) against deleterious load. Genet Sel Evol. 2019; 51(1):14. PMC: 6472060. DOI: 10.1186/s12711-019-0456-8. View

3.
Oyetunde T, Bernardo R . Linear, funnel, and multiple funnel schemes for stacking chromosomes that carry targeted recombinations in plants. Theor Appl Genet. 2020; 133(11):3177-3186. DOI: 10.1007/s00122-020-03663-4. View

4.
Chapman J, Mascher M, Buluc A, Barry K, Georganas E, Session A . A whole-genome shotgun approach for assembling and anchoring the hexaploid bread wheat genome. Genome Biol. 2015; 16:26. PMC: 4373400. DOI: 10.1186/s13059-015-0582-8. View

5.
Broman K, Gatti D, Simecek P, Furlotte N, Prins P, Sen S . R/qtl2: Software for Mapping Quantitative Trait Loci with High-Dimensional Data and Multiparent Populations. Genetics. 2018; 211(2):495-502. PMC: 6366910. DOI: 10.1534/genetics.118.301595. View