Literature DB >> 14677848

Quantitative trait loci analysis for growth and carcass traits in a Meishan x Duroc F2 resource population.

S Sato1, Y Oyamada, K Atsuji, T Nade, Shin-ichi Sato, E Kobayashi, T Mitsuhashi, K Nirasawa, A Komatsuda, Y Saito, S Terai, T Hayashi, Y Sugimoto.   

Abstract

We constructed a pig F2 resource population by crossing a Meishan sow and a Duroc boar to locate economically important trait loci. The F2 generation was composed of 865 animals (450 males and 415 females) from four F1 males and 24 F1 females and was genotyped for 180 informative microsatellite markers spanning 2,263.6 cM of the whole pig genome. Results of the genome scan showed evidence for significant quantitative trait loci (<1% genomewise error rate) affecting weight at 30 d and average daily gain on Sus scrofa chromosome (SSC) 6, carcass yield on SSC 7, backfat thickness on SSC 7 and SSC X, vertebra number on SSC 1 and SSC 7, loin muscle area on SSC 1 and SSC 7, moisture on SSC 13, intramuscular fat content on SSC 7, and testicular weight on SSC 3 and SSC X. Moreover, 5% genomewise significant QTL were found for birth weight on SSC 7, average daily gain on SSC 4, carcass length on SSC 6, SSC 7, and SSC X and lightness (L value) on SSC 3. We identified 38 QTL for 28 traits at the 5% genomewise level. Of the 38 QTL, 24 QTL for 17 traits were significant at the 1% genomewise level. Analysis of marker genotypes supported the breed of origin results and provided further evidence that a suggestive QTL for circumference of cannon bone also was segregating within the Meishan parent. We identified genomic regions related with growth and meat quality traits. Fine mapping will be required for their application in introgression programs and gene cloning.

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Year:  2003        PMID: 14677848     DOI: 10.2527/2003.81122938x

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


  25 in total

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Journal:  Mol Genet Genomics       Date:  2016-06-15       Impact factor: 3.291

2.  Porcine insulin receptor substrate 4 (IRS4) gene: cloning, polymorphism and association study.

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Journal:  Mamm Genome       Date:  2005-10-29       Impact factor: 2.957

4.  Evaluation of the effect and profitability of gene-assisted selection in pig breeding system.

Authors:  Ya-Lan Li; Qin Zhang; Yao-Sheng Chen
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5.  A genome-wide association study identifies genomic loci associated with backfat thickness, carcass weight, and body weight in two commercial pig populations.

Authors:  Yuanmei Guo; Hengqing Qiu; Shijun Xiao; Zhenfang Wu; Ming Yang; Jie Yang; Jun Ren; Lusheng Huang
Journal:  J Appl Genet       Date:  2017-09-10       Impact factor: 3.240

6.  Genotype imputation accuracy in a F2 pig population using high density and low density SNP panels.

Authors:  Jose L Gualdrón Duarte; Ronald O Bates; Catherine W Ernst; Nancy E Raney; Rodolfo J C Cantet; Juan P Steibel
Journal:  BMC Genet       Date:  2013-05-08       Impact factor: 2.797

7.  Genome-wide QTL mapping for three traits related to teat number in a White Duroc x Erhualian pig resource population.

Authors:  Nengshui Ding; Yuanmei Guo; Christoph Knorr; Junwu Ma; Huirong Mao; Lütao Lan; Shijun Xiao; Huashui Ai; Chris S Haley; Bertram Brenig; Lusheng Huang
Journal:  BMC Genet       Date:  2009-02-18       Impact factor: 2.797

8.  Single-Step Genome Wide Association Study Identifies QTL Signals for Untrimmed and Trimmed Thigh Weight in Italian Crossbred Pigs for Dry-Cured Ham Production.

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Journal:  Animals (Basel)       Date:  2021-05-29       Impact factor: 2.752

9.  Fine mapping of fatness QTL on porcine chromosome X and analyses of three positional candidate genes.

Authors:  Junwu Ma; Hélène Gilbert; Nathalie Iannuccelli; Yanyu Duan; Beili Guo; Weibing Huang; Huanban Ma; Juliette Riquet; Jean-Pierre Bidanel; Lusheng Huang; Denis Milan
Journal:  BMC Genet       Date:  2013-06-01       Impact factor: 2.797

10.  A further look at porcine chromosome 7 reveals VRTN variants associated with vertebral number in Chinese and Western pigs.

Authors:  Yin Fan; Yuyun Xing; Zhiyan Zhang; Huashui Ai; Zixuan Ouyang; Jing Ouyang; Ming Yang; Pinghua Li; Yijie Chen; Jun Gao; Lin Li; Lusheng Huang; Jun Ren
Journal:  PLoS One       Date:  2013-04-24       Impact factor: 3.240

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