Literature DB >> 19531576

QTL for several metabolic traits map to loci controlling growth and body composition in an F2 intercross between high- and low-growth chicken lines.

Javad Nadaf1, Frédérique Pitel, Hélène Gilbert, Michel J Duclos, Florence Vignoles, Catherine Beaumont, Alain Vignal, Tom E Porter, Larry A Cogburn, Samuel E Aggrey, Jean Simon, Elisabeth Le Bihan-Duval.   

Abstract

Quantitative trait loci (QTL) for metabolic and body composition traits were mapped at 7 and 9 wk, respectively, in an F(2) intercross between high-growth and low-growth chicken lines. These lines also diverged for abdominal fat percentage (AFP) and plasma insulin-like growth factor-I (IGF-I), insulin, and glucose levels. Genotypings were performed with 129 microsatellite markers covering 21 chromosomes. A total of 21 QTL with genomewide level of significance were detected by single-trait analyses for body weight (BW), breast muscle weight (BMW) and percentage (BMP), AF weight (AFW) and percentage (AFP), shank length (ShL) and diameter (ShD), fasting plasma glucose level (Gluc), and body temperature (T(b)). Other suggestive QTL were identified for these parameters and for plasma IGF-I and nonesterified fatty acid levels. QTL controlling adiposity and Gluc were colocalized on GGA3 and GGA5 and QTL for BW, ShL and ShD, adiposity, and T(b) on GGA4. Multitrait analyses revealed two QTL controlling Gluc and AFP on GGA5 and Gluc and T(b) on GGA26. Significant effects of the reciprocal cross were observed on BW, ShD, BMW, and Gluc, which may result from mtDNA and/or maternal effects. Most QTL regions for Gluc and adiposity harbor genes for which alleles have been associated with increased susceptibility to diabetes and/or obesity in humans. Identification of genes responsible for these metabolic QTL will increase our understanding of the constitutive "hyperglycemia" found in chickens. Furthermore, a comparative approach could provide new information on the genetic causes of diabetes and obesity in humans.

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Year:  2009        PMID: 19531576     DOI: 10.1152/physiolgenomics.90384.2008

Source DB:  PubMed          Journal:  Physiol Genomics        ISSN: 1094-8341            Impact factor:   3.107


  26 in total

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Journal:  Physiol Genomics       Date:  2010-07-13       Impact factor: 3.107

2.  Genetic analysis of an F2 intercross between two strains of Japanese quail provided evidence for quantitative trait loci affecting carcass composition and internal organs.

Authors:  Hasan Moradian; Ali K Esmailizadeh; Saeed S Sohrabi; Ehsan Nasirifar; Nahid Askari; Mohammad Reza Mohammadabadi; Amin Baghizadeh
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3.  Mapping quantitative trait loci for omega-3 fatty acids in Asian seabass.

Authors:  Jun Hong Xia; Grace Lin; Xiaoping He; Bu Yunping; Peng Liu; Feng Liu; Fei Sun; Rongjian Tu; Gen Hua Yue
Journal:  Mar Biotechnol (NY)       Date:  2013-07-27       Impact factor: 3.619

4.  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

5.  A quantitative trait locus for ascites on chromosome 9 in broiler chicken lines.

Authors:  Sriram Krishnamoorthy; Candace D Smith; Adnan A Al-Rubaye; Gisela F Erf; Robert F Wideman; Nicholas B Anthony; Douglas D Rhoads
Journal:  Poult Sci       Date:  2014-02       Impact factor: 3.352

6.  Genome scan linkage analysis identifies quantitative trait loci affecting serum clinical-chemical traits in Korean native chicken.

Authors:  Dong-Won Seo; Hee-Bok Park; Shil Jin; Muhammad Cahyadi; Nuri Choi; Kang-Nyeong Heo; Cheorun Jo; Jun-Heon Lee
Journal:  Mol Biol Rep       Date:  2016-05-17       Impact factor: 2.316

7.  An expression QTL of closely linked candidate genes affects pH of meat in chickens.

Authors:  Javad Nadaf; Cecile Berri; Ian Dunn; Estelle Godet; Elisabeth Le Bihan-Duval; Dirk Jan De Koning
Journal:  Genetics       Date:  2014-01-03       Impact factor: 4.562

8.  Transcriptomic and metabolomic profiling of chicken adipose tissue in response to insulin neutralization and fasting.

Authors:  Bo Ji; Ben Ernest; Jessica R Gooding; Suchita Das; Arnold M Saxton; Jean Simon; Joelle Dupont; Sonia Métayer-Coustard; Shawn R Campagna; Brynn H Voy
Journal:  BMC Genomics       Date:  2012-08-31       Impact factor: 3.969

9.  Decreased expression of the satiety signal receptor CCKAR is responsible for increased growth and body weight during the domestication of chickens.

Authors:  Ian C Dunn; Simone L Meddle; Peter W Wilson; Chloe A Wardle; Andy S Law; Valerie R Bishop; Camilla Hindar; Graeme W Robertson; Dave W Burt; Stephanie J H Ellison; David M Morrice; Paul M Hocking
Journal:  Am J Physiol Endocrinol Metab       Date:  2013-02-26       Impact factor: 4.310

10.  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

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