Literature DB >> 21077970

Detection and fine mapping of quantitative trait loci for bone traits on chicken chromosome one.

H Zhang1, Y D Zhang, S Z Wang, X F Liu, Q Zhang, Z Q Tang, H Li.   

Abstract

In broiler chickens, bone problems are an important welfare issue that has been linked to genetic selection for rapid growth. The objectives of this study were to identify and fine map quantitative trait loci (QTL) associated with bone traits. The Northeast Agricultural University resource population (NEAURP) being an F(2) population was used in this study, and a total of 17 bone traits were measured. In primary genome scan, the linkage map was constructed with 23 microsatellite markers across the entire chicken chromosome 1. Seventeen QTLs for bone traits were identified and 12 of these were found between LEI0079 and ROS0025 (50.8 cM apart). To fine map the QTLs located between LEI0079 and ROS0025, more markers and more individuals were used and a new partial linkage map was constructed. The confidence intervals for QTLs were sharply narrowed down from 24.5∼52.6 to 2.7∼17.0 Mb. This study identified chromosome regions harbouring significant QTLs affecting bone traits and showed that the use of more markers and individuals could decrease the confidence interval of QTL effectively. The results provide a useful reference for further candidate gene research and MAS for bone traits.
© 2010 Blackwell Verlag GmbH.

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Year:  2010        PMID: 21077970     DOI: 10.1111/j.1439-0388.2010.00871.x

Source DB:  PubMed          Journal:  J Anim Breed Genet        ISSN: 0931-2668            Impact factor:   2.380


  8 in total

1.  Identification of a potential functional single nucleotide polymorphism for fatness and growth traits in the 3'-untranslated region of the PCSK1 gene in chickens.

Authors:  K Zhang; B H Cheng; L L Yang; Z P Wang; H L Zhang; S S Xu; S Z Wang; Y X Wang; H Zhang; H Li
Journal:  J Anim Sci       Date:  2017-11       Impact factor: 3.159

2.  Unraveling the associations of osteoprotegerin gene with production traits in a paternal broiler line.

Authors:  Marcelo B Fornari; Ricardo Zanella; Adriana Mg Ibelli; Lana T Fernandes; Maurício E Cantão; Vanete Thomaz-Soccol; Mônica C Ledur; Jane O Peixoto
Journal:  Springerplus       Date:  2014-11-20

3.  A genome-wide study to identify genes responsible for oviduct development in chickens.

Authors:  Manman Shen; Liang Qu; Meng Ma; Taocun Dou; Jian Lu; Jun Guo; Yuping Hu; Xingguo Wang; Yongfeng Li; Kehua Wang; Ning Yang
Journal:  PLoS One       Date:  2017-12-27       Impact factor: 3.240

4.  Identification of genome-wide SNP-SNP interactions associated with important traits in chicken.

Authors:  Hui Zhang; Jia-Qiang Yu; Li-Li Yang; Luke M Kramer; Xin-Yang Zhang; Wei Na; James M Reecy; Hui Li
Journal:  BMC Genomics       Date:  2017-11-21       Impact factor: 3.969

5.  Identification of potential genomic regions and candidate genes for egg albumen quality by a genome-wide association study.

Authors:  Liang Qu; Manman Shen; Jun Guo; Xingguo Wang; Taocun Dou; Yuping Hu; Yongfeng Li; Meng Ma; Kehua Wang; Honglin Liu
Journal:  Arch Anim Breed       Date:  2019-03-25

6.  Haplotype-based genome-wide association studies for carcass and growth traits in chicken.

Authors:  Hui Zhang; Lin-Yong Shen; Zi-Chun Xu; Luke M Kramer; Jia-Qiang Yu; Xin-Yang Zhang; Wei Na; Li-Li Yang; Zhi-Ping Cao; Peng Luan; James M Reecy; Hui Li
Journal:  Poult Sci       Date:  2020-03-26       Impact factor: 3.352

7.  Genome-Wide Association Study and Selective Sweep Analysis Reveal the Genetic Architecture of Body Weights in a Chicken F2 Resource Population.

Authors:  Shouzhi Wang; Yuxiang Wang; Yudong Li; Fan Xiao; Huaishun Guo; Haihe Gao; Ning Wang; Hui Zhang; Hui Li
Journal:  Front Vet Sci       Date:  2022-07-26

8.  An eQTL in the cystathionine beta synthase gene is linked to osteoporosis in laying hens.

Authors:  Dirk-Jan De Koning; Nazaret Dominguez-Gasca; Robert H Fleming; Andrew Gill; Dominic Kurian; Andrew Law; Heather A McCormack; David Morrice; Estefania Sanchez-Rodriguez; Alejandro B Rodriguez-Navarro; Rudolf Preisinger; Matthias Schmutz; Veronica Šmídová; Frances Turner; Peter W Wilson; Rongyan Zhou; Ian C Dunn
Journal:  Genet Sel Evol       Date:  2020-02-24       Impact factor: 4.297

  8 in total

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