Literature DB >> 21097684

Genome-wide mapping and identification of new quantitative trait loci affecting meat production, meat quality, and carcass traits within a Duroc purebred population.

Y Soma1, Y Uemoto, S Sato, T Shibata, H Kadowaki, E Kobayashi, K Suzuki.   

Abstract

Most QTL detection studies in pigs have been carried out in experimental F(2) populations. However, segregation of a QTL must be confirmed within a purebred population for successful implementation of marker-assisted selection. Previously, QTL for meat quality and carcass traits were detected on SSC 7 in a Duroc purebred population. The objectives of the present study were to carry out a whole-genome QTL analysis (except for SSC 7) for meat production, meat quality, and carcass traits and to confirm the presence of segregating QTL in a Duroc purebred population. One thousand and four Duroc pigs were studied from base to seventh generation; the pigs comprised 1 closed population of a complex multigenerational pedigree such that all individuals were related. The pigs were evaluated for 6 growth traits, 7 body size traits, 8 carcass traits, 2 physiological traits, and 11 meat quality traits, and the number of pigs with phenotypes ranged from 421 to 953. A total of 119 markers were genotyped and then used for QTL analysis. We utilized a pedigree-based, multipoint variance components approach to test for linkage between QTL and the phenotypic values using a maximum likelihood method; the logarithm of odds score and QTL genotypic heritability were estimated. A total of 42 QTL with suggestive linkages and 3 QTL with significant linkages for 26 traits were detected. These included selection traits such as daily BW gain, backfat thickness, loin eye muscle area, and intramuscular fat content as well as correlated traits such as body size and meat quality traits. The present study disclosed QTL affecting growth, body size, and carcass, physiological, and meat quality traits in a Duroc purebred population.

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Year:  2010        PMID: 21097684     DOI: 10.2527/jas.2010-3119

Source DB:  PubMed          Journal:  J Anim Sci        ISSN: 0021-8812            Impact factor:   3.159


  10 in total

1.  A GWA study reveals genetic loci for body conformation traits in Chinese Laiwu pigs and its implications for human BMI.

Authors:  Lisheng Zhou; Jiuxiu Ji; Song Peng; Zhen Zhang; Shaoming Fang; Lin Li; Yaling Zhu; Lusheng Huang; Congying Chen; Junwu Ma
Journal:  Mamm Genome       Date:  2016-07-29       Impact factor: 2.957

2.  High-resolution association mapping of number of teats in pigs reveals regions controlling vertebral development.

Authors:  Naomi Duijvesteijn; Jacqueline M Veltmaat; Egbert F Knol; Barbara Harlizius
Journal:  BMC Genomics       Date:  2014-06-30       Impact factor: 3.969

3.  A Whole Genome Association Study on Meat Quality Traits Using High Density SNP Chips in a Cross between Korean Native Pig and Landrace.

Authors:  K-T Lee; Y-M Lee; M Alam; B H Choi; M R Park; K-S Kim; T-H Kim; J-J Kim
Journal:  Asian-Australas J Anim Sci       Date:  2012-11       Impact factor: 2.509

4.  A study of vertebra number in pigs confirms the association of vertnin and reveals additional QTL.

Authors:  Gary A Rohrer; Dan J Nonneman; Ralph T Wiedmann; James F Schneider
Journal:  BMC Genet       Date:  2015-10-30       Impact factor: 2.797

5.  Genomic regions associated with host response to porcine reproductive and respiratory syndrome vaccination and co-infection in nursery pigs.

Authors:  Jenelle R Dunkelberger; Nick V L Serão; Ziqing Weng; Emily H Waide; Megan C Niederwerder; Maureen A Kerrigan; Joan K Lunney; Raymond R R Rowland; Jack C M Dekkers
Journal:  BMC Genomics       Date:  2017-11-13       Impact factor: 3.969

6.  Differences in gene expression profiles for subcutaneous adipose, liver, and skeletal muscle tissues between Meishan and Landrace pigs with different backfat thicknesses.

Authors:  Misaki Kojima; Ikuyo Nakajima; Aisaku Arakawa; Satoshi Mikawa; Toshimi Matsumoto; Hirohide Uenishi; Yuki Nakamura; Masaaki Taniguchi
Journal:  PLoS One       Date:  2018-09-21       Impact factor: 3.240

7.  Genome-wide association study for backfat thickness in Canchim beef cattle using Random Forest approach.

Authors:  Fabiana Barichello Mokry; Roberto Hiroshi Higa; Maurício de Alvarenga Mudadu; Andressa Oliveira de Lima; Sarah Laguna Conceição Meirelles; Marcos Vinicius Gualberto Barbosa da Silva; Fernando Flores Cardoso; Maurício Morgado de Oliveira; Ismael Urbinati; Simone Cristina Méo Niciura; Rymer Ramiz Tullio; Maurício Mello de Alencar; Luciana Correia de Almeida Regitano
Journal:  BMC Genet       Date:  2013-06-05       Impact factor: 2.797

8.  Genome-wide association studies identify the loci for 5 exterior traits in a Large White × Minzhu pig population.

Authors:  Ligang Wang; Longchao Zhang; Hua Yan; Xin Liu; Na Li; Jing Liang; Lei Pu; Yuebo Zhang; Huibi Shi; Kebin Zhao; Lixian Wang
Journal:  PLoS One       Date:  2014-08-04       Impact factor: 3.240

9.  SNP- and haplotype-based genome-wide association studies for growth, carcass, and meat quality traits in a Duroc multigenerational population.

Authors:  Shuji Sato; Yoshinobu Uemoto; Takashi Kikuchi; Sachiko Egawa; Kimiko Kohira; Tomomi Saito; Hironori Sakuma; Satoshi Miyashita; Shinji Arata; Takatoshi Kojima; Keiichi Suzuki
Journal:  BMC Genet       Date:  2016-04-19       Impact factor: 2.797

10.  Genome-wide association studies for production, respiratory disease, and immune-related traits in Landrace pigs.

Authors:  Yoshinobu Uemoto; Kasumi Ichinoseki; Toshimi Matsumoto; Nozomi Oka; Hironori Takamori; Hiroshi Kadowaki; Chihiro Kojima-Shibata; Eisaku Suzuki; Toshihiro Okamura; Hisashi Aso; Haruki Kitazawa; Masahiro Satoh; Hirohide Uenishi; Keiichi Suzuki
Journal:  Sci Rep       Date:  2021-08-04       Impact factor: 4.379

  10 in total

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