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Importance of correcting genomic relationships in single-locus QTL mapping model with an advanced backcross population

Advanced backcross (AB) populations have been widely used to identify and utilize beneficial alleles in various crops such as rice, tomato, wheat, and barley. For the development of an AB population, a controlled crossing scheme is used and this controlled crossing along with the selection (both nat...

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Autores principales: Mathew, Boby, Léon, Jens, Dadshani, Said, Pillen, Klaus, Sillanpää, Mikko J, Naz, Ali Ahmad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8495747/
https://www.ncbi.nlm.nih.gov/pubmed/33822941
http://dx.doi.org/10.1093/g3journal/jkab105
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author Mathew, Boby
Léon, Jens
Dadshani, Said
Pillen, Klaus
Sillanpää, Mikko J
Naz, Ali Ahmad
author_facet Mathew, Boby
Léon, Jens
Dadshani, Said
Pillen, Klaus
Sillanpää, Mikko J
Naz, Ali Ahmad
author_sort Mathew, Boby
collection PubMed
description Advanced backcross (AB) populations have been widely used to identify and utilize beneficial alleles in various crops such as rice, tomato, wheat, and barley. For the development of an AB population, a controlled crossing scheme is used and this controlled crossing along with the selection (both natural and artificial) of agronomically adapted alleles during the development of AB population may lead to unbalanced allele frequencies in the population. However, it is commonly believed that interval mapping of traits in experimental crosses such as AB populations is immune to the deviations from the expected frequencies under Mendelian segregation. Using two AB populations and simulated data sets as examples, we describe the severity of the problem caused by unbalanced allele frequencies in quantitative trait loci mapping and demonstrate how it can be corrected using the linear mixed model having a polygenic effect with the covariance structure (genomic relationship matrix) calculated from molecular markers.
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spelling pubmed-84957472021-10-07 Importance of correcting genomic relationships in single-locus QTL mapping model with an advanced backcross population Mathew, Boby Léon, Jens Dadshani, Said Pillen, Klaus Sillanpää, Mikko J Naz, Ali Ahmad G3 (Bethesda) Investigation Advanced backcross (AB) populations have been widely used to identify and utilize beneficial alleles in various crops such as rice, tomato, wheat, and barley. For the development of an AB population, a controlled crossing scheme is used and this controlled crossing along with the selection (both natural and artificial) of agronomically adapted alleles during the development of AB population may lead to unbalanced allele frequencies in the population. However, it is commonly believed that interval mapping of traits in experimental crosses such as AB populations is immune to the deviations from the expected frequencies under Mendelian segregation. Using two AB populations and simulated data sets as examples, we describe the severity of the problem caused by unbalanced allele frequencies in quantitative trait loci mapping and demonstrate how it can be corrected using the linear mixed model having a polygenic effect with the covariance structure (genomic relationship matrix) calculated from molecular markers. Oxford University Press 2021-04-05 /pmc/articles/PMC8495747/ /pubmed/33822941 http://dx.doi.org/10.1093/g3journal/jkab105 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of Genetics Society of America. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence (http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) ), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Investigation
Mathew, Boby
Léon, Jens
Dadshani, Said
Pillen, Klaus
Sillanpää, Mikko J
Naz, Ali Ahmad
Importance of correcting genomic relationships in single-locus QTL mapping model with an advanced backcross population
title Importance of correcting genomic relationships in single-locus QTL mapping model with an advanced backcross population
title_full Importance of correcting genomic relationships in single-locus QTL mapping model with an advanced backcross population
title_fullStr Importance of correcting genomic relationships in single-locus QTL mapping model with an advanced backcross population
title_full_unstemmed Importance of correcting genomic relationships in single-locus QTL mapping model with an advanced backcross population
title_short Importance of correcting genomic relationships in single-locus QTL mapping model with an advanced backcross population
title_sort importance of correcting genomic relationships in single-locus qtl mapping model with an advanced backcross population
topic Investigation
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8495747/
https://www.ncbi.nlm.nih.gov/pubmed/33822941
http://dx.doi.org/10.1093/g3journal/jkab105
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