Literature DB >> 20096032

Mapping QTL for growth and shank traits in chickens divergently selected for high or low body weight.

G A Ankra-Badu1, E Le Bihan-Duval, S Mignon-Grasteau, F Pitel, C Beaumont, M J Duclos, J Simon, W Carré, T E Porter, A Vignal, L A Cogburn, S E Aggrey.   

Abstract

An F(2) population (695 individuals) was established from broiler chickens divergently selected for either high (HG) or low (LG) growth, and used to localize QTL for developmental changes in body weight (BW), shank length (SL9) and shank diameter (SD9) at 9 weeks. QTL mapping revealed three genome-wide QTL on chromosomes (GGA) 2, 4 and 26 and three suggestive QTL on GGA 1, 3 and 5. Most of the BW QTL individually explained 2-5% of the phenotypic variance. The BW QTL on GGA2 explained about 7% of BW from 3 to 7 weeks of age, while that on GGA4 explained 15% of BW from 5 to 9 weeks. The BW QTL on GGA2 and GGA4 could be associated with early and late growth respectively. The GGA4 QTL also had the largest effect on SL9 and SD9 and explained 7% and 10% of their phenotypic variances respectively. However, when SL9 and SD9 were corrected with BW9, a shank length percent QTL was identified on GGA2. We identified novel QTL and also confirmed previously identified loci in other chicken populations. As the foundation population was established from commercial broiler strains, it is possible that QTL identified in this study could still be segregating in commercial strains.

Entities:  

Mesh:

Year:  2010        PMID: 20096032     DOI: 10.1111/j.1365-2052.2009.02017.x

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


  15 in total

1.  Association between cholecystokinin type A receptor haplotypes and growth traits in Japanese Hinai-dori crossbred chickens.

Authors:  Kazuhiro Rikimaru; Megumi Komatsu; Keiichi Suzuki; Yoshinobu Uemoto; Hisato Takeda; Hideaki Takahashi
Journal:  Mol Biol Rep       Date:  2011-09-25       Impact factor: 2.316

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.

Authors:  Wenya Li; Zhenzhu Jing; Yingying Cheng; Xiangnan Wang; Donghua Li; Ruili Han; Wenting Li; Guoxi Li; Guirong Sun; Yadong Tian; Xiaojun Liu; Xiangtao Kang; Zhuanjian Li
Journal:  J Anim Sci       Date:  2020-05-01       Impact factor: 3.159

3.  Whole genome QTL mapping for growth, meat quality and breast meat yield traits in turkey.

Authors:  Muhammad L Aslam; John W M Bastiaansen; Richard P M A Crooijmans; Addie Vereijken; Martien A M Groenen
Journal:  BMC Genet       Date:  2011-07-11       Impact factor: 2.797

4.  Genome-wide association study identified a narrow chromosome 1 region associated with chicken growth traits.

Authors:  Liang Xie; Chenglong Luo; Chengguang Zhang; Rong Zhang; Jun Tang; Qinghua Nie; Li Ma; Xiaoxiang Hu; Ning Li; Yang Da; Xiquan Zhang
Journal:  PLoS One       Date:  2012-02-16       Impact factor: 3.240

5.  Signatures of selection in the genomes of commercial and non-commercial chicken breeds.

Authors:  Martin G Elferink; Hendrik-Jan Megens; Addie Vereijken; Xiaoxiang Hu; Richard P M A Crooijmans; Martien A M Groenen
Journal:  PLoS One       Date:  2012-02-27       Impact factor: 3.240

6.  Deep Sequencing Analysis of miRNA Expression in Breast Muscle of Fast-Growing and Slow-Growing Broilers.

Authors:  Hongjia Ouyang; Xiaomei He; Guihuan Li; Haiping Xu; Xinzheng Jia; Qinghua Nie; Xiquan Zhang
Journal:  Int J Mol Sci       Date:  2015-07-17       Impact factor: 5.923

7.  Genetic determinism of bone and mineral metabolism in meat-type chickens: A QTL mapping study.

Authors:  Sandrine Mignon-Grasteau; Céline Chantry-Darmon; Marie-Yvonne Boscher; Nadine Sellier; Marie Chabault-Dhuit; Elisabeth Le Bihan-Duval; Agnès Narcy
Journal:  Bone Rep       Date:  2016-02-26

8.  Identification of quantitative trait loci for body temperature, body weight, breast yield, and digestibility in an advanced intercross line of chickens under heat stress.

Authors:  Angelica Van Goor; Kevin J Bolek; Chris M Ashwell; Mike E Persia; Max F Rothschild; Carl J Schmidt; Susan J Lamont
Journal:  Genet Sel Evol       Date:  2015-12-17       Impact factor: 4.297

9.  Comparison of the genome-wide DNA methylation profiles between fast-growing and slow-growing broilers.

Authors:  Yongsheng Hu; Haiping Xu; Zhenhui Li; Xuejuan Zheng; Xinzheng Jia; Qinghua Nie; Xiquan Zhang
Journal:  PLoS One       Date:  2013-02-18       Impact factor: 3.240

10.  Genome-wide association study identifies Loci and candidate genes for body composition and meat quality traits in Beijing-You chickens.

Authors:  Ranran Liu; Yanfa Sun; Guiping Zhao; Fangjie Wang; Dan Wu; Maiqing Zheng; Jilan Chen; Lei Zhang; Yaodong Hu; Jie Wen
Journal:  PLoS One       Date:  2013-04-18       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.