Literature DB >> 16573522

Mapping QTLs on chicken chromosome 1 for performance and carcass traits in a broiler x layer cross.

K Nones1, M C Ledur, D C Ruy, E E Baron, C M R Melo, A S A M T Moura, E L Zanella, D W Burt, L L Coutinho.   

Abstract

With the objective of mapping quantitative trait loci (QTLs) for performance and carcass traits, an F2 chicken population was developed by crossing broiler and layer lines. A total of 2063 F2 chicks in 21 full-sib families were reared as broilers and slaughtered at 42 days of age. Seventeen performance and carcass traits were measured. Parental F(0) and F1 individuals were genotyped with 80 microsatellites from chicken chromosome 1 to select informative markers. Thirty-three informative markers were used for selective genotyping of F2 individuals with extreme phenotypes for body weight at 42 days of age (BW42). Based on the regions identified by selective genotyping, seven full-sib families (649 F2 chicks) were genotyped with 26 markers. Quantitative trait loci affecting body weight, feed intake, carcass weight, drums and thighs weight and abdominal fat weight were mapped to regions already identified in other populations. Quantitative trait loci for weights of gizzard, liver, lungs, heart and feet, as well as length of intestine, not previously described in the literature were mapped on chromosome 1. This F2 population can be used to identify novel QTLs and constitutes a new resource for studies of genes related to growth and carcass traits in poultry.

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Year:  2006        PMID: 16573522     DOI: 10.1111/j.1365-2052.2005.01387.x

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


  23 in total

1.  Association of IGF1 and KDM5A polymorphisms with performance, fatness and carcass traits in chickens.

Authors:  Clarissa Boschiero; Erika C Jorge; Kerli Ninov; Kátia Nones; Millor Fernandes do Rosário; Luiz Lehmann Coutinho; Mônica Corrêa Ledur; David W Burt; Ana Silvia A M T Moura
Journal:  J Appl Genet       Date:  2012-12-30       Impact factor: 3.240

2.  Composite interval mapping and mixed models reveal QTL associated with performance and carcass traits on chicken chromosomes 1, 3, and 4.

Authors:  M F Rosario; R Gazaffi; A S A M T Moura; M C Ledur; L L Coutinho; A A F Garcia
Journal:  J Appl Genet       Date:  2013-11-28       Impact factor: 3.240

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

Authors:  Hui Zhang; Shou-Zhi Wang; Zhi-Peng Wang; Yang Da; Ning Wang; Xiao-Xiang Hu; Yuan-Dan Zhang; Yu-Xiang Wang; Li Leng; Zhi-Quan Tang; Hui Li
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
Journal:  BMC Genomics       Date:  2010-02-11       Impact factor: 3.969

5.  Mapping of quantitative trait loci for flesh colour and growth traits in Atlantic salmon (Salmo salar).

Authors:  Matthew Baranski; Thomas Moen; Dag Inge Våge
Journal:  Genet Sel Evol       Date:  2010-06-04       Impact factor: 4.297

6.  Quantitative trait loci with sex-specific effects for internal organs weights and hematocrit value in a broiler-layer cross.

Authors:  A S A M T Moura; M C Ledur; C Boschiero; K Nones; L F B Pinto; F R F Jaenisch; D W Burt; L L Coutinho
Journal:  J Appl Genet       Date:  2015-10-24       Impact factor: 3.240

7.  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

8.  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

9.  Microsatellite mapping of QTLs affecting resistance to coccidiosis (Eimeria tenella) in a Fayoumi x White Leghorn cross.

Authors:  Marie-Hélène Pinard-van der Laan; Bertrand Bed'hom; Jean-Luc Coville; Frédérique Pitel; Katia Feve; Sophie Leroux; Hélène Legros; Aurélie Thomas; David Gourichon; Jean-Michel Repérant; Paul Rault
Journal:  BMC Genomics       Date:  2009-01-20       Impact factor: 3.969

10.  Profiling of chicken adipose tissue gene expression by genome array.

Authors:  Hong-Bao Wang; Hui Li; Qi-Gui Wang; Xin-Yu Zhang; Shou-Zhi Wang; Yu-Xiang Wang; Xiu-Ping Wang
Journal:  BMC Genomics       Date:  2007-06-27       Impact factor: 3.969

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