Literature DB >> 22688438

Association of single nucleotide polymorphism (SNP) markers in candidate genes and QTL regions with pork quality traits in commercial pigs.

G A Rohrer1, D J Nonneman, R K Miller, H Zerby, S J Moeller.   

Abstract

Numerous reports have described genetic markers or genomic regions (QTL) associated with pork quality and/or palatability but few validation studies have been reported. Therefore, 156 SNP markers from 45 candidate genes and eight QTL regions were analyzed for association with pork quality and palatability traits from 888 pork loins. Loins were collected at three slaughter facilities and selected to represent a wide range of pork color, pH and marbling. Phenotypic data recorded included objective and subjective measures of color and marbling, purge loss, shear force, and cooking loss. Data were analyzed with SAS PROC MIXED where loin was fit as a random effect. Results indicated some of the markers tested should be useful in industry, while others are not segregating in all populations or linkage disequilibrium between markers and causative genetic variation fluctuates among populations limiting their universal utility. Genes with the largest effects on pork quality were MC4R, IGF2, CAST and PRKAG3. Published by Elsevier Ltd.

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Year:  2012        PMID: 22688438     DOI: 10.1016/j.meatsci.2012.05.020

Source DB:  PubMed          Journal:  Meat Sci        ISSN: 0309-1740            Impact factor:   5.209


  8 in total

1.  Polymorphisms in epigenetic and meat quality related genes in fourteen cattle breeds and association with beef quality and carcass traits.

Authors:  Xuan Liu; Tahir Usman; Yachun Wang; Zezhao Wang; Xianzhou Xu; Meng Wu; Yi Zhang; Xu Zhang; Qiang Li; Lin Liu; Wanhai Shi; Chunhua Qin; Fanjun Geng; Congyong Wang; Rui Tan; Xixia Huang; Airong Liu; Hongjun Wu; Shixin Tan; Ying Yu
Journal:  Asian-Australas J Anim Sci       Date:  2015-04       Impact factor: 2.509

2.  Genome-wide QTL analysis of meat quality-related traits in a large F2 intercross between Landrace and Korean native pigs.

Authors:  In-Cheol Cho; Chae-Kyoung Yoo; Jae-Bong Lee; Eun-Ji Jung; Sang-Hyun Han; Sung-Soo Lee; Moon-Suck Ko; Hyun-Tae Lim; Hee-Bok Park
Journal:  Genet Sel Evol       Date:  2015-02-22       Impact factor: 4.297

3.  Genome-wide association studies (GWAS) identify a QTL close to PRKAG3 affecting meat pH and colour in crossbred commercial pigs.

Authors:  Chunyan Zhang; Zhiquan Wang; Heather Bruce; Robert Alan Kemp; Patrick Charagu; Younes Miar; Tianfu Yang; Graham Plastow
Journal:  BMC Genet       Date:  2015-04-07       Impact factor: 2.797

4.  Genome Wide Association Studies (GWAS) Identify QTL on SSC2 and SSC17 Affecting Loin Peak Shear Force in Crossbred Commercial Pigs.

Authors:  Chunyan Zhang; Heather Bruce; Tianfu Yang; Patrick Charagu; Robert Alan Kemp; Nicholas Boddicker; Younes Miar; Zhiquan Wang; Graham Plastow
Journal:  PLoS One       Date:  2016-02-22       Impact factor: 3.240

5.  Enhancement of porcine intramuscular fat content by overexpression of the cytosolic form of phosphoenolpyruvate carboxykinase in skeletal muscle.

Authors:  Zijian Ren; Ying Wang; Yuanyuan Ren; Zhengwei Zhang; Weiwang Gu; Zhaoting Wu; Lingyi Chen; Lisha Mou; Rongfeng Li; Haiyuan Yang; Yifan Dai
Journal:  Sci Rep       Date:  2017-03-02       Impact factor: 4.379

6.  Whole-genome association analysis of pork meat pH revealed three significant regions and several potential genes in Finnish Yorkshire pigs.

Authors:  Lucas L Verardo; Marja-Liisa Sevón-Aimonen; Timo Serenius; Ville Hietakangas; Pekka Uimari
Journal:  BMC Genet       Date:  2017-02-13       Impact factor: 2.797

7.  A combination of two variants in PRKAG3 is needed for a positive effect on meat quality in pigs.

Authors:  Pekka Uimari; Anu Sironen
Journal:  BMC Genet       Date:  2014-02-28       Impact factor: 2.797

8.  Relationships between Single Nucleotide Polymorphism Markers and Meat Quality Traits of Duroc Breeding Stocks in Korea.

Authors:  J S Choi; S K Jin; Y H Jeong; Y C Jung; J H Jung; K S Shim; Y I Choi
Journal:  Asian-Australas J Anim Sci       Date:  2016-08-10       Impact factor: 2.509

  8 in total

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