Literature DB >> 16415521

Use of microsatellite markers to detect quantitative trait loci in Yorkshire pigs.

Chul Wook Kim1, Yeon Hee Hong, Sung-Il Yun, Sang-Rae Lee, Young Hyun Kim, Myeong-Su Kim, Ki Hwa Chung, Won Youg Jung, Eun Jung Kwon, Sun Sook Hwang, Da Hye Park, Kwang Keun Cho, Jung Gyu Lee, Byeong Woo Kim, Jae Woo Kim, Yang Su Kang, Jung Sou Yeo, Kyu-Tae Chang.   

Abstract

To identify genetic markers associated with economic traits in pigs, 157 microsatellite markers were examined in Yorkshire pigs. Thirty eight female Yorkshire pigs were initially examined and six of them were selected as progenitors; half were more than 1.5 standard deviations (SD) above the mean for average daily gain (ADG) and backfat thickness (BFT), and the remaining half were more than 1.5 SD below the mean. These pigs were then mated to male Duroc pigs, and 200 F2 pig offspring were examined for the association of specific alleles with ADG and BFT. To confirm the specific markers identified in the initial analysis, associations of significant markers with economic traits were further examined in 228 additional performance-tested purebred pigs. Twenty-five microsatellite markers were significantly associated with either ADG or BFT, and among these, 17 were associated with both traits. The markers with the highest association to ADG were also associated with BFT. Our study reveals that specific markers could be used to predict economic significance, and confirms several quantitative trait loci (QTL) identified in previous studies. However, further analysis with more closely-spaced microsatellite markers is required to refine predictive values for economic traits and positions of QTL that are reliable for actual phenotypic prediction.

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Year:  2006        PMID: 16415521     DOI: 10.1262/jrd.17046

Source DB:  PubMed          Journal:  J Reprod Dev        ISSN: 0916-8818            Impact factor:   2.214


  7 in total

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Authors:  R M Brunner; T Srikanchai; E Murani; K Wimmers; S Ponsuksili
Journal:  Mol Biol Rep       Date:  2011-05-10       Impact factor: 2.316

2.  Porcine skeletal muscle differentially expressed gene ATP5B: molecular characterization, expression patterns, and association analysis with meat quality traits.

Authors:  Haixia Xu; Yongjie Xu; Xiaojuan Liang; Yanbo Wang; Fangfang Jin; Dengying Liu; Yun Ma; Hongyu Yuan; Xinqiang Song; Wenxian Zeng
Journal:  Mamm Genome       Date:  2013-02-19       Impact factor: 2.957

3.  QTL analysis of back fat thickness and carcass pH in an F₂ intercross between Landrace and Korean native pigs.

Authors:  Chae-Kyoung Yoo; Hyun-Tae Lim; Sang-Hyun Han; Sung-Soo Lee; Moon-Suck Ko; Taeyoung Kang; Jun Heon Lee; Hee-Bok Park; In-Cheol Cho
Journal:  Mol Biol Rep       Date:  2012-06-20       Impact factor: 2.316

4.  Genome-wide linkage analysis of QTL for growth and body composition employing the PorcineSNP60 BeadChip.

Authors:  Ana I Fernández; Dafne Pérez-Montarelo; Carmen Barragán; Yuliaxis Ramayo-Caldas; Noelia Ibáñez-Escriche; Anna Castelló; Jose Luis Noguera; Luis Silió; Josep María Folch; M Carmen Rodríguez
Journal:  BMC Genet       Date:  2012-05-20       Impact factor: 2.797

5.  Characterization, expression profiles, intracellular distribution and association analysis of porcine PNAS-4 gene with production traits.

Authors:  Delin Mo; Zhengmao Zhu; Marinus F W te Pas; Xinyun Li; Shulin Yang; Heng Wang; Huanling Wang; Kui Li
Journal:  BMC Genet       Date:  2008-06-30       Impact factor: 2.797

6.  Integration of multi-omics data reveals cis-regulatory variants that are associated with phenotypic differentiation of eastern from western pigs.

Authors:  Yuwen Liu; Yang Fu; Yalan Yang; Guoqiang Yi; Jinmin Lian; Bingkun Xie; Yilong Yao; Muya Chen; Yongchao Niu; Lei Liu; Liyuan Wang; Yongsheng Zhang; Xinhao Fan; Yijie Tang; Pengxiang Yuan; Min Zhu; Qiaowei Li; Song Zhang; Yun Chen; Binhu Wang; Jieyu He; Dan Lu; Ivan Liachko; Shawn T Sullivan; Bin Pang; Yaoqing Chen; Xin He; Kui Li; Zhonglin Tang
Journal:  Genet Sel Evol       Date:  2022-09-14       Impact factor: 5.100

7.  An f2 pig resource population as a model for genetic studies of obesity and obesity-related diseases in humans: design and genetic parameters.

Authors:  Lisette J A Kogelman; Haja N Kadarmideen; Thomas Mark; Peter Karlskov-Mortensen; Camilla S Bruun; Susanna Cirera; Mette J Jacobsen; Claus B Jørgensen; Merete Fredholm
Journal:  Front Genet       Date:  2013-03-18       Impact factor: 4.599

  7 in total

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