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Generation of a Multi-Locus Chicken Introgression Line to Study the Effects of Genetic Interactions on Metabolic Phenotypes in Chickens

Most biological traits are regulated by a complex interplay between genetic and environmental factors. By intercrossing divergent lines, it is possible to identify individual and interacting QTL involved in the genetic architecture of these traits. When the loci have been mapped, alternative strateg...

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Autores principales: Ek, Weronica, Marklund, Stefan, Ragavendran, Ashok, Siegel, Paul, Muir, William, Carlborg, Örjan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Research Foundation 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3291857/
https://www.ncbi.nlm.nih.gov/pubmed/22403584
http://dx.doi.org/10.3389/fgene.2012.00029
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author Ek, Weronica
Marklund, Stefan
Ragavendran, Ashok
Siegel, Paul
Muir, William
Carlborg, Örjan
author_facet Ek, Weronica
Marklund, Stefan
Ragavendran, Ashok
Siegel, Paul
Muir, William
Carlborg, Örjan
author_sort Ek, Weronica
collection PubMed
description Most biological traits are regulated by a complex interplay between genetic and environmental factors. By intercrossing divergent lines, it is possible to identify individual and interacting QTL involved in the genetic architecture of these traits. When the loci have been mapped, alternative strategies are needed for fine-mapping and studying the individual and interactive effects of the QTL in detail. We have previously identified, replicated, and fine mapped a four-locus QTL network that determines nearly half of the eightfold difference in body weight at 56 days of age between two divergently selected chicken lines. Here, we describe, to our knowledge, the first generation of a three-locus QTL introgression line in chickens. Recurrent marker-assisted backcrossing was used to simultaneously transfer QTL alleles from the low-weight selected line into the high-weight selected line. Three generations of backcrossing and one generation of intercrossing resulted in an introgression line where all three introgressed QTL and several unlinked and linked control-loci were segregating at nearly expected allele frequencies. We show how intensive selection can be applied using artificial insemination to rapidly generate a multi-locus introgression line and provide recommendations for future breeding of introgression lines. This confirmed introgression line will facilitate later detailed studies of the effects of genetic interactions on complex traits in this population, including growth, and body-composition traits.
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spelling pubmed-32918572012-03-08 Generation of a Multi-Locus Chicken Introgression Line to Study the Effects of Genetic Interactions on Metabolic Phenotypes in Chickens Ek, Weronica Marklund, Stefan Ragavendran, Ashok Siegel, Paul Muir, William Carlborg, Örjan Front Genet Genetics Most biological traits are regulated by a complex interplay between genetic and environmental factors. By intercrossing divergent lines, it is possible to identify individual and interacting QTL involved in the genetic architecture of these traits. When the loci have been mapped, alternative strategies are needed for fine-mapping and studying the individual and interactive effects of the QTL in detail. We have previously identified, replicated, and fine mapped a four-locus QTL network that determines nearly half of the eightfold difference in body weight at 56 days of age between two divergently selected chicken lines. Here, we describe, to our knowledge, the first generation of a three-locus QTL introgression line in chickens. Recurrent marker-assisted backcrossing was used to simultaneously transfer QTL alleles from the low-weight selected line into the high-weight selected line. Three generations of backcrossing and one generation of intercrossing resulted in an introgression line where all three introgressed QTL and several unlinked and linked control-loci were segregating at nearly expected allele frequencies. We show how intensive selection can be applied using artificial insemination to rapidly generate a multi-locus introgression line and provide recommendations for future breeding of introgression lines. This confirmed introgression line will facilitate later detailed studies of the effects of genetic interactions on complex traits in this population, including growth, and body-composition traits. Frontiers Research Foundation 2012-03-02 /pmc/articles/PMC3291857/ /pubmed/22403584 http://dx.doi.org/10.3389/fgene.2012.00029 Text en Copyright © 2012 Ek, Marklund, Ragavendran, Siegel, Muir and Carlborg. http://www.frontiersin.org/licenseagreement This is an open-access article distributed under the terms of the Creative Commons Attribution Non Commercial License, which permits non-commercial use, distribution, and reproduction in other forums, provided the original authors and source are credited.
spellingShingle Genetics
Ek, Weronica
Marklund, Stefan
Ragavendran, Ashok
Siegel, Paul
Muir, William
Carlborg, Örjan
Generation of a Multi-Locus Chicken Introgression Line to Study the Effects of Genetic Interactions on Metabolic Phenotypes in Chickens
title Generation of a Multi-Locus Chicken Introgression Line to Study the Effects of Genetic Interactions on Metabolic Phenotypes in Chickens
title_full Generation of a Multi-Locus Chicken Introgression Line to Study the Effects of Genetic Interactions on Metabolic Phenotypes in Chickens
title_fullStr Generation of a Multi-Locus Chicken Introgression Line to Study the Effects of Genetic Interactions on Metabolic Phenotypes in Chickens
title_full_unstemmed Generation of a Multi-Locus Chicken Introgression Line to Study the Effects of Genetic Interactions on Metabolic Phenotypes in Chickens
title_short Generation of a Multi-Locus Chicken Introgression Line to Study the Effects of Genetic Interactions on Metabolic Phenotypes in Chickens
title_sort generation of a multi-locus chicken introgression line to study the effects of genetic interactions on metabolic phenotypes in chickens
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3291857/
https://www.ncbi.nlm.nih.gov/pubmed/22403584
http://dx.doi.org/10.3389/fgene.2012.00029
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