Literature DB >> 12464017

Quantitative trait loci affecting fatness in the chicken.

C O N Ikeobi1, J A Woolliams, D R Morrice, A Law, D Windsor, D W Burt, P M Hocking.   

Abstract

An F2 chicken population of 442 individuals from 30 families, obtained by crossing a broiler line with a layer line, was used for detecting and mapping Quantitative Trait Loci (QTL) affecting abdominal fat weight, skin fat weight and fat distribution. Within-family regression analyses using 102 microsatellite markers in 27 linkage groups were carried out with genome-wide significance thresholds. The QTL for abdominal fat weight were found on chromosomes 3, 7, 15 and 28; abdominal fat weight adjusted for carcass weight on chromosomes 1, 5, 7 and 28; skin and subcutaneous fat on chromosomes 3, 7 and 13; skin fat weight adjusted for carcass weight on chromosomes 3 and 28; and skin fat weight adjusted for abdominal fat weight on chromosomes 5, 7 and 15. Interactions of the QTL with sex or family were unimportant and, for each trait, there was no evidence for imprinting or of multiple QTL on any chromosome. Significant dominance effects were obtained for all but one of the significant locations for QTL affecting the weight of abdominal fat, none for skin fat and one of the three QTL affecting fat distribution. The magnitude of each QTL ranged from 3.0 to 5.2% of the residual phenotypic variation or 0.2-0.8 phenotypic standard deviations. The largest additive QTL (on chromosome 7) accounted for more than 20% of the mean weight of abdominal fat. Significant positive and negative QTL were identified from both lines.

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Year:  2002        PMID: 12464017     DOI: 10.1046/j.1365-2052.2002.00911.x

Source DB:  PubMed          Journal:  Anim Genet        ISSN: 0268-9146            Impact factor:   3.169


  17 in total

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2.  Analysis of four complete linkage sequence variants within a novel lncRNA located in a growth QTL on chromosome 1 related to growth traits in chickens.

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Journal:  J Anim Sci       Date:  2020-05-01       Impact factor: 3.159

3.  A genome-wide scan of selective sweeps in two broiler chicken lines divergently selected for abdominal fat content.

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Journal:  BMC Genomics       Date:  2012-12-15       Impact factor: 3.969

4.  Mapping main, epistatic and sex-specific QTL for body composition in a chicken population divergently selected for low or high growth rate.

Authors:  Georgina A Ankra-Badu; Daniel Shriner; Elisabeth Le Bihan-Duval; Sandrine Mignon-Grasteau; Frédérique Pitel; Catherine Beaumont; Michel J Duclos; Jean Simon; Tom E Porter; Alain Vignal; Larry A Cogburn; David B Allison; Nengjun Yi; Samuel E Aggrey
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5.  Genetic complexity of an obesity QTL ( Fob3) revealed by detailed genetic mapping.

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6.  Genetic parameters for body weight, carcass chemical composition and yield in a broiler-layer cross developed for QTL mapping.

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7.  Transcriptional analysis of abdominal fat in genetically fat and lean chickens reveals adipokines, lipogenic genes and a link between hemostasis and leanness.

Authors:  Christopher W Resnyk; Wilfrid Carré; Xiaofei Wang; Tom E Porter; Jean Simon; Elisabeth Le Bihan-Duval; Michael J Duclos; Sam E Aggrey; Larry A Cogburn
Journal:  BMC Genomics       Date:  2013-08-16       Impact factor: 3.969

8.  Detecting parent of origin and dominant QTL in a two-generation commercial poultry pedigree using variance component methodology.

Authors:  Suzanne J Rowe; Ricardo Pong-Wong; Christopher S Haley; Sara A Knott; Dirk-Jan De Koning
Journal:  Genet Sel Evol       Date:  2009-01-05       Impact factor: 4.297

9.  Selection signature analysis implicates the PC1/PCSK1 region for chicken abdominal fat content.

Authors:  Hui Zhang; Xiaoxiang Hu; Zhipeng Wang; Yuandan Zhang; Shouzhi Wang; Ning Wang; Li Ma; Li Leng; Shengwen Wang; Qigui Wang; Yuxiang Wang; Zhiquan Tang; Ning Li; Yang Da; Hui Li
Journal:  PLoS One       Date:  2012-07-11       Impact factor: 3.240

10.  RNA-Seq Analysis of Abdominal Fat in Genetically Fat and Lean Chickens Highlights a Divergence in Expression of Genes Controlling Adiposity, Hemostasis, and Lipid Metabolism.

Authors:  Christopher W Resnyk; Chuming Chen; Hongzhan Huang; Cathy H Wu; Jean Simon; Elisabeth Le Bihan-Duval; Michel J Duclos; Larry A Cogburn
Journal:  PLoS One       Date:  2015-10-07       Impact factor: 3.240

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