ArticleBMC genomics2009
Genetic analysis of an F(2) intercross between two chicken lines divergently selected for body-weight.
Article in BMC genomics, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
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Who cites it
28 citing papers in PubMed.
- Comparative Study on Growth Performance and Meat Production Traits of Reciprocal Crosses Between Guizhou Recessive White Chickens and Qiandongnan Xiaoxiang Chickens.Animals : an open access journal from MDPI · 2025Article
- Research Note: Phenotypic trends for the multigenerational advanced intercross of the Virginia body weight lines of chickens.Poultry science · 2024Article
- Article
- RNA-Seq-based discovery of genetic variants and allele-specific expression of two layer lines and broiler chicken.Evolutionary applications · 2023Article
- Dynamics of Small Non-coding RNA Profiles and the Intestinal Microbiome of High and Low Weight Chickens.Frontiers in microbiology · 2022Article
- Heterogeneity of a dwarf phenotype in Dutch traditional chicken breeds revealed by genomic analyses.Evolutionary applications · 2021Article
- Genotype frequency distributions of 28 SNP markers in two commercial lines and five Chinese native chicken populations.BMC genetics · 2020Article
- Genotyping by low-coverage whole-genome sequencing in intercross pedigrees from outbred founders: a cost-efficient approach.Genetics, selection, evolution : GSE · 2019Article
- Mapping of Quantitative Trait Loci for Growth and Carcass-Related Traits in Chickens Using a Restriction-Site Associated DNA Sequencing Method.The journal of poultry science · 2019Article
- An integrative genomic analysis of the Longshanks selection experiment for longer limbs in mice.eLife · 2019Article
- Bidirectional Selection for Body Weight on Standing Genetic Variation in a Chicken Model.G3 (Bethesda, Md.) · 2019Article
- Integrating Selection Mapping With Genetic Mapping and Functional Genomics.Frontiers in genetics · 2018Review
- Imputation-Based Fine-Mapping Suggests That Most QTL in an Outbred Chicken Advanced Intercross Body Weight Line Are Due to Multiple, Linked Loci.G3 (Bethesda, Md.) · 2017Article
- Article
- Variance Component Quantitative Trait Locus Analysis for Body Weight Traits in Purebred Korean Native Chicken.Asian-Australasian journal of animal sciences · 2016Article
- Identification of QTL for live weight and growth rate using DNA markers on chromosome 3 in an F2 population of Japanese quail.Molecular biology reports · 2014Article
- Dynamics of adaptive alleles in divergently selected body weight lines of chickens.G3 (Bethesda, Md.) · 2013Article
- Genome-wide interval mapping using SNPs identifies new QTL for growth, body composition and several physiological variables in an F2 intercross between fat and lean chicken lines.Genetics, selection, evolution : GSE · 2013Article
- Genetic dissection of growth traits in a Chinese indigenous × commercial broiler chicken cross.BMC genomics · 2013Article
- Generation of a multi-locus chicken introgression line to study the effects of genetic interactions on metabolic phenotypes in chickens.Frontiers in genetics · 2012Article
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9 authors.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundWe have performed Quantitative Trait Loci (QTL) analysis of an F(2) intercross between two chicken lines divergently selected for juvenile body-weight. In a previous study 13 identified loci with effects on body-weight, only explained a small proportion of the large variation in the F(2) population. Epistatic interaction analysis however, indicated that a network of interacting loci with large effect contributed to the difference in body-weight of the parental lines. This previous analysis was, however, based on a sparse microsatellite linkage map and the limited coverage could have affected the main conclusions. Here we present a revised QTL analysis based on a high-density linkage map that provided a more complete coverage of the chicken genome. Furthermore, we utilized genotype data from ~13,000 SNPs to search the genome for potential selective sweeps that have occurred in the selected lines.
resultsWe constructed a linkage map comprising 434 genetic markers, covering 31 chromosomes but leaving seven microchromosomes uncovered. The analysis showed that seven regions harbor QTL that influence growth. The pair-wise interaction analysis identified 15 unique QTL pairs and notable is that nine of those involved interactions with a locus on chromosome 7, forming a network of interacting loci. The analysis of ~13,000 SNPs showed that a substantial proportion of the genetic variation present in the founder population has been lost in either of the two selected lines since ~60% of the SNPs polymorphic among lines showed fixation in one of the lines. With the current marker coverage and QTL map resolution we did not observe clear signs of selective sweeps within QTL intervals.
conclusionThe results from the QTL analysis using the new improved linkage map are to a large extent in concordance with our previous analysis of this pedigree. The difference in body-weight between the parental chicken lines is caused by many QTL each with a small individual effect. Although the increased chromosomal marker coverage did not lead to the identification of additional QTL, we were able to refine the localization of QTL. The importance of epistatic interaction as a mechanism contributing significantly to the remarkable selection response was further strengthened because additional pairs of interacting loci were detected with the improved map.
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