Literature DB >> 15049477

Detection and localization of quantitative trait loci affecting fatness in broilers.

D G J Jennen1, A L J Vereijken, H Bovenhuis, R P M A Crooijmans, A Veenendaal, J J van der Poel, M A M Groenen.   

Abstract

A cross between 2 genetically different outcross broiler dam lines, originating from the White Plymouth Rock breed, was used to produce a large 3-generation broiler population. This population was used to detect and localize QTL affecting fatness in chicken. Twenty full-sib birds in generation 1 and 456 full-sib birds in generation 2 were typed for microsatellite markers, and phenotypic observations were collected for 3 groups of generation 3 birds (approximately 1,800 birds per group). Body weight, abdominal fat weight, and percentage abdominal fat was recorded at the age of 7, 9, and 10 wk. To study the presence of QTL, an across-family weighted regression interval mapping approach was used in a full-sib QTL analysis. Genotypes from 410 markers mapped on 25 chromosomes were available. For the 3 traits, 26 QTL were found for 18 regions on 12 chromosomes. Two genomewise significant QTL (P < 0.05) were detected, one for percentage abdominal fat at the age of 10 wk on chicken chromosome 1 at 241 cM (MCW0058 to MCW0101) with a test statistic of 2.75 and the other for BW at the age of 10 wk on chicken chromosome 13 at 9 cM (MCW0322 to MCW0110) with a test statistic of 2.77. Significance levels were obtained using the permutation test. Multiple suggestive QTL were found on chromosomes 1, 2, 4, 13, 15, and 18, whereas chromosomes 3, 7, 10, 11, 14, and 27 had a single suggestive QTL.

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Year:  2004        PMID: 15049477     DOI: 10.1093/ps/83.3.295

Source DB:  PubMed          Journal:  Poult Sci        ISSN: 0032-5791            Impact factor:   3.352


  18 in total

1.  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
Journal:  Mol Biol Rep       Date:  2014-03-04       Impact factor: 2.316

2.  Exploring evidence of positive selection signatures in cattle breeds selected for different traits.

Authors:  Mengistie Taye; Wonseok Lee; Soomin Jeon; Joon Yoon; Tadelle Dessie; Olivier Hanotte; Okeyo Ally Mwai; Stephen Kemp; Seoae Cho; Sung Jong Oh; Hak-Kyo Lee; Heebal Kim
Journal:  Mamm Genome       Date:  2017-09-13       Impact factor: 2.957

3.  Genetic linkage mapping and analysis of muscle fiber-related QTLs in common carp (Cyprinus carpio L.).

Authors:  Yan Zhang; Peng Xu; Cuiyun Lu; Youyi Kuang; Xiaofeng Zhang; Dingchen Cao; Chao Li; Yumei Chang; Ning Hou; Hengde Li; Shu Wang; Xiaowen Sun
Journal:  Mar Biotechnol (NY)       Date:  2010-10-01       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.  Regional differences in recombination hotspots between two chicken populations.

Authors:  Martin G Elferink; Pieter van As; Tineke Veenendaal; Richard P M A Crooijmans; Martien A M Groenen
Journal:  BMC Genet       Date:  2010-02-08       Impact factor: 2.797

6.  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

7.  Microsatellite mapping of QTL affecting growth, feed consumption, egg production, tonic immobility and body temperature of Japanese quail.

Authors:  Francis Minvielle; Boniface B Kayang; Miho Inoue-Murayama; Mitsuru Miwa; Alain Vignal; David Gourichon; André Neau; Jean-Louis Monvoisin; Shin'ichi Ito
Journal:  BMC Genomics       Date:  2005-06-08       Impact factor: 3.969

8.  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

9.  Detection of QTL controlling feed efficiency and excretion in chickens fed a wheat-based diet.

Authors:  Sandrine Mignon-Grasteau; Nicole Rideau; Irène Gabriel; Céline Chantry-Darmon; Marie-Yvonne Boscher; Nadine Sellier; Marie Chabault; Elisabeth Le Bihan-Duval; Agnès Narcy
Journal:  Genet Sel Evol       Date:  2015-09-25       Impact factor: 4.297

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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