Genetic analysis of an F2 intercross between two chicken lines divergently selected for body-weight

Wahlberg, Per; Carlborg, Örjan; Foglio, Mario; Tordoir, Xavier; Syvänen, Ann‐Christine; Lathrop, Mark; Gut, Ivo; Siegel, P. B.; Andersson, Leif

doi:10.1186/1471-2164-10-248

Cited by 61 publications

(158 citation statements)

References 23 publications

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“…The microsatellite markers associated with this region are ADL0107, MCW0183, ADL0180, and ADL0109. Previous studies have identified the numerous QTL affecting BW at different weeks or days of age in the above-mentioned region (Sewalem et al, 2002;Kerje et al, 2003;Siwek et al, 2004;Jacobsson et al, 2005;Zhou et al, 2006a;Atzmon et al, 2007Atzmon et al, , 2008Wahlberg et al, 2009). These results were in agreement with those reported in this study.…”

Section: Qtl Analysis For Body Weightsupporting

confidence: 84%

Quantitative trait loci associated with body weight and abdominal fat traits on chicken chromosomes 3, 5 and 7

Wang¹,

Hu²,

Wang³

et al. 2012

Genet. Mol. Res.

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ABSTRACT. Body weight and abdominal fat traits in meat-type chickens are complex and economically important factors. Our objective was to identify quantitative trait loci (QTL) responsible for body weight and abdominal fat traits in broiler chickens. The Northeast Agricultural University Resource Population (NEAURP) is a cross between broiler sires and Baier layer dams. We measured body weight and abdominal fat traits in the F 2 population. A total of 362 F 2 individuals derived from four F 1 families and their parents and F 0 birds were genotyped using 29 fluorescent microsatellite markers located on chromosomes 3, 5 and 7. Linkage maps for the three chromosomes were constructed and interval mapping was performed to identify putative QTLs. Nine QTL for body weight were identified at the 5% genome-wide level, while 15 QTL were identified at the 5% chromosome-wide level. Phenotypic variance explained by these QTL varied from 2.95 to 6.03%. In particular, a QTL region spanning 31 cM, associated with body weight at 1 to 12 weeks of age and carcass weight at 12 weeks of age, was first identified on QTL for body weight and abdominal fat traits chromosome 5. Three QTLs for the abdominal fat traits were identified at the 5% chromosome-wide level. These QTLs explained 3.42 to 3.59% of the phenotypic variance. This information will help direct prospective fine mapping studies and can facilitate the identification of underlying genes and causal mutations for body weight and abdominal fat traits.

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Section: Qtl Analysis For Body Weightsupporting

confidence: 84%

Quantitative trait loci associated with body weight and abdominal fat traits on chicken chromosomes 3, 5 and 7

Wang¹,

Hu²,

Wang³

et al. 2012

Genet. Mol. Res.

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“…Growth is a very complex trait that is regulated by a number of genes and pathways, and more than 1500 quantitative trait loci have been found to be associated with chicken growth traits (Liu et al, 2008;Uemoto et al, 2009;Wahlberg et al, 2009;Gu et al, 2011). In the present study, 15 previously identified SNPs in GGA1 were detected using a custom Beadchip analysis.…”

Section: Discussionmentioning

confidence: 99%

Single nucleotide polymorphisms associated with growth traits in Jinghai yellow chickens

et al. 2015

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ABSTRACT. Body weight is one of the most important economic traits in the poultry industry. In the present study, a custom SNP Beadchip was used to analyze the association between those 15 SNPs and 12 growth traits of Jinghai yellow chickens, and other important genetic parameters were also calculated and analyzed. The results indicated that nine of the 15 SNPs were associated with growth traits in Jinghai yellow chickens (P < 0.05), and the identified SNPs were also in linkage disequilibrium. Five of the nine identified SNPs were mainly associated with all of the growth traits, which indicated that those five SNPs might have significant influence on Jinghai yellow chicken growth traits. Polymorphism information content (PIC) analyses indicated that five of the nine SNPs exhibited moderate polymorphism (0.25 < PIC < 0.5), which reflected intermediate genetic diversity. Six candidate genes surrounding the significant SNPs were obtained and subjected to Gene Ontology annotation analyses and pathway analyses. The functions of six important candidate genes (SETDB2, ATP7B, INTS6, KPNA3, DLEU7, and FOXO1A) were discussed. The present study provided basic data for 16170 M.A. Abdalhag et al.

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“…However, some epistatic QTLs have been reported in chickens (Carlborg et al, , 2006Cheng et al, 2007;Wahlberg et al, 2009;Ankra-Badu et al, 2010;Tuiskula-Haavisto et al, 2010, Goto et al, 2011. These epistatic loci have substantial effect on phenotypic variance .…”

Section: Discussionmentioning

confidence: 99%

Quantitative Trait Loci Mapping for External Egg Traits in F<sub>2</sub> Chickens

et al. 2014

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Quantitative trait locus (QTL) mapping of external egg traits in chickens was carried out with 143 microsatellite markers using 388 F 2 hens obtained from an intercross of a Japanese Large Game (Oh-Shamo) male and three White Leghorn females. External egg traits, such as the weight and length of eggs and the weight, thickness, strength, and color of eggshells were measured at three different stages of egg production, i.e. early, middle, and late stages. QTL analyses revealed 10 significant and three suggestive QTLs with main effects on external egg traits on chromosomes 1, 2, 4, 5, 8, 10, 11, 12, 17, and Z. The QTL alleles derived from Oh-Shamo, one of the indigenous Japanese breeds, uniquely increased most external egg traits, whereas some QTL alleles had opposite effects on phenotypic differences between Oh-Shamo and White Leghorn. The QTLs detected accounted for 3.09-15.39% of the phenotypic variances. Although the QTLs on chromosomes 5, 8, and Z were found throughout all three stages, the others were identified at only one or two stages. Epistatic QTLs for external egg traits were not detected in the present study. The age-related changes of our main-effect QTLs illustrate one aspect of the complex genetic basis of external egg traits.

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Genetic analysis of an F2 intercross between two chicken lines divergently selected for body-weight

Cited by 61 publications

References 23 publications

Quantitative trait loci associated with body weight and abdominal fat traits on chicken chromosomes 3, 5 and 7

Quantitative trait loci associated with body weight and abdominal fat traits on chicken chromosomes 3, 5 and 7

Single nucleotide polymorphisms associated with growth traits in Jinghai yellow chickens

Quantitative Trait Loci Mapping for External Egg Traits in F<sub>2</sub> Chickens

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