Literature DB >> 25908024

Quantitative trait loci segregating in crosses between New Hampshire and White Leghorn chicken lines: IV. Growth performance.

M K Nassar1,2, Z S Goraga3, G A Brockmann1.   

Abstract

Reciprocal crosses between the inbred lines New Hampshire (NHI) and White Leghorn (WL77) comprising 579 F2 individuals were used to map QTL for body weight and composition. Here, we examine the growth performance until 20 weeks of age. Linkage analysis provided evidence for highly significant QTL on GGA1, 2, 4, 10 and 27 which had specific effects on early or late growth. The highest QTL effects, accounting for 4.6-25.6% of the phenotypic F2 variance, were found on the distal region of GGA4 between 142 and 170 cM (F ≥ 13.68). The NHI QTL allele increased body mass by 141.86 g at 20 weeks. Using body weight as a covariate in the analysis of body composition traits provided evidence for genes in the GGA4 QTL region affecting fat mass independently of body mass. The QTL effect size differed between sexes and depended on the direction of cross. TBC1D1, CCKAR and PPARGC1A are functional candidate genes in the QTL peak region. Our study confirmed the importance of the distal GGA4 region for chicken growth performance. The strong effect of the GGA4 QTL makes fine mapping and gene discovery feasible.
© 2015 Stichting International Foundation for Animal Genetics.

Entities:  

Keywords:  CCKAR; Inbreeding; PPARGC1A; TBC1D1; body weight; body weight gain; gene mapping; growth; linkage; selection

Mesh:

Year:  2015        PMID: 25908024     DOI: 10.1111/age.12298

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


  7 in total

1.  A longitudinal quantitative trait locus mapping of chicken growth traits.

Authors:  Tatsuhiko Goto; Akira Ishikawa; Masahide Nishibori; Masaoki Tsudzuki
Journal:  Mol Genet Genomics       Date:  2018-10-12       Impact factor: 3.291

2.  Tbc1d1 deletion suppresses obesity in leptin-deficient mice.

Authors:  J Dokas; A Chadt; H-G Joost; H Al-Hasani
Journal:  Int J Obes (Lond)       Date:  2016-03-22       Impact factor: 5.095

3.  Genome-wide association study for performance traits in chickens using genotype by sequencing approach.

Authors:  Fábio Pértille; Gabriel Costa Monteiro Moreira; Ricardo Zanella; José de Ribamar da Silva Nunes; Clarissa Boschiero; Gregori Alberto Rovadoscki; Gerson Barreto Mourão; Mônica Corrêa Ledur; Luiz Lehmann Coutinho
Journal:  Sci Rep       Date:  2017-02-09       Impact factor: 4.379

4.  Unraveling genomic associations with feed efficiency and body weight traits in chickens through an integrative approach.

Authors:  Gabriel Costa Monteiro Moreira; Mirele Daiana Poleti; Fábio Pértille; Clarissa Boschiero; Aline Silva Mello Cesar; Thaís Fernanda Godoy; Mônica Corrêa Ledur; James M Reecy; Dorian J Garrick; Luiz Lehmann Coutinho
Journal:  BMC Genet       Date:  2019-11-06       Impact factor: 2.797

5.  Quantitative trait loci identified for blood chemistry components of an advanced intercross line of chickens under heat stress.

Authors:  Angelica Van Goor; Christopher M Ashwell; Michael E Persia; Max F Rothschild; Carl J Schmidt; Susan J Lamont
Journal:  BMC Genomics       Date:  2016-04-14       Impact factor: 3.969

6.  Genomic Region Containing Toll-Like Receptor Genes Has a Major Impact on Total IgM Antibodies Including KLH-Binding IgM Natural Antibodies in Chickens.

Authors:  Tom V L Berghof; Marleen H P W Visker; Joop A J Arts; Henk K Parmentier; Jan J van der Poel; Addie L J Vereijken; Henk Bovenhuis
Journal:  Front Immunol       Date:  2018-01-09       Impact factor: 7.561

7.  Genome-wide association study reveals the genetic determinism of growth traits in a Gushi-Anka F2 chicken population.

Authors:  Yanhua Zhang; Yuzhe Wang; Yiyi Li; Junfeng Wu; Xinlei Wang; Cheng Bian; Yadong Tian; Guirong Sun; Ruili Han; Xiaojun Liu; Ruirui Jiang; Yanbin Wang; Guoxi Li; Wenting Li; Xiaoxiang Hu; Xiangtao Kang
Journal:  Heredity (Edinb)       Date:  2020-09-28       Impact factor: 3.821

  7 in total

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