Literature DB >> 17135661

Review of quantitative trait loci identified in the chicken.

B Abasht1, J C M Dekkers, S J Lamont.   

Abstract

Methods for mapping QTL are actively used in the chicken to identify chromosomal regions contributing to variation in traits related to growth, disease resistance, egg production, behavior, and metabolic parameters. However, higher-resolution mapping and better knowledge of the genetic architecture underlying QTL are needed for successful application of this information into breeding programs. Therefore, this paper summarizes and integrates original, primary QTL studies in the chicken to identify basic information on the genetic architecture of quantitative traits in chickens. The results of this review show several instances of consensus of QTL locations for similar traits from independent studies. Furthermore, the consensus of QTL location for different traits and evidence for QTL with parent-of-origin effect, transgressive alleles, epistatic QTL, and QTL x sex interaction in chicken are presented and discussed. This information can be helpful in identifying genes or mutations underlying the QTL and in the application of genomic information in marker-assisted breeding programs.

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Year:  2006        PMID: 17135661     DOI: 10.1093/ps/85.12.2079

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


  31 in total

1.  A strong quantitative trait locus for wing length on chromosome 2 in a wild population of great reed warblers.

Authors:  Maja Tarka; Mikael Akesson; Dario Beraldi; Jules Hernández-Sánchez; Dennis Hasselquist; Staffan Bensch; Bengt Hansson
Journal:  Proc Biol Sci       Date:  2010-03-24       Impact factor: 5.349

Review 2.  Advanced technologies for genomic analysis in farm animals and its application for QTL mapping.

Authors:  Xiaoxiang Hu; Yu Gao; Chungang Feng; Qiuyue Liu; Xiaobo Wang; Zhuo Du; Qingsong Wang; Ning Li
Journal:  Genetica       Date:  2008-12-18       Impact factor: 1.082

3.  Association between cholecystokinin type A receptor haplotypes and growth traits in Japanese Hinai-dori crossbred chickens.

Authors:  Kazuhiro Rikimaru; Megumi Komatsu; Keiichi Suzuki; Yoshinobu Uemoto; Hisato Takeda; Hideaki Takahashi
Journal:  Mol Biol Rep       Date:  2011-09-25       Impact factor: 2.316

4.  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

5.  Genetic architecture of body weight, condition factor and age of sexual maturation in Icelandic Arctic charr (Salvelinus alpinus).

Authors:  Eva Küttner; Hooman K Moghadam; Skúli Skúlason; Roy G Danzmann; Moira M Ferguson
Journal:  Mol Genet Genomics       Date:  2011-05-28       Impact factor: 3.291

6.  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

7.  Efficiency of genomic selection in an established commercial layer breeding program.

Authors:  Florian Sitzenstock; Florence Ytournel; Ahmad R Sharifi; David Cavero; Helge Täubert; Rudolf Preisinger; Henner Simianer
Journal:  Genet Sel Evol       Date:  2013-07-31       Impact factor: 4.297

8.  Detecting parent of origin and dominant QTL in a two-generation commercial poultry pedigree using variance component methodology.

Authors:  Suzanne J Rowe; Ricardo Pong-Wong; Christopher S Haley; Sara A Knott; Dirk-Jan De Koning
Journal:  Genet Sel Evol       Date:  2009-01-05       Impact factor: 4.297

9.  Using transcriptome profiling to characterize QTL regions on chicken chromosome 5.

Authors:  Guillaume Le Mignon; Colette Désert; Frédérique Pitel; Sophie Leroux; Olivier Demeure; Gregory Guernec; Behnam Abasht; Madeleine Douaire; Pascale Le Roy; Sandrine Lagarrigue
Journal:  BMC Genomics       Date:  2009-12-02       Impact factor: 3.969

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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