• Title/Summary/Keyword: Crimap Software

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Construction of Genetic Microsatellite Maps for Some Chromosomes in Chinese Swine Reference Population

  • Su, Yuhong;Xiong, Yuanzhu;Zhang, Qin;Liu, Weimin;Jiang, Siwen;Yu, Li;Xia, Xuanyan;Zeng, Rong;Deng, Changyan
    • Asian-Australasian Journal of Animal Sciences
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    • v.15 no.10
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    • pp.1386-1390
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    • 2002
  • In aiming to identify the genes or genetic regions responsible for quantitative traits, a swine reference population had been constructed using three Large White boars and seven Meishan dams as parents. Five $F_1$ males and 23 $F_1$ females were intercrossed to generate 147 $F_2$ offspring. Thirty-one microsatellite markers covering Sus scrofa chromosomes (SSC) 2, 4, 6 and 7 were genotyped for all members. Construction of genetic microsatellite maps was performed using the CRIMAP software package. The lengths of these chromosomes were longer than MARC maps. They were 158.6cM, 180.3cM, 197.3cM and 171.4cM, respectively. A two modified orders of markers were observed for SSC6 and SSC7. The female map on SSC6 was shorter than male map, and the contrary was on SSC 2, 4 and 7.

Detection of Quantitative Trait Loci Affecting Fat Deposition Traits in Pigs

  • Choi, B.H.;Lee, K.T.;Lee, H.J.;Jang, G.W.;Lee, H.Y.;Cho, B.W.;Han, J.Y.;Kim, T.H.
    • Asian-Australasian Journal of Animal Sciences
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    • v.25 no.11
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    • pp.1507-1510
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    • 2012
  • Quantitative trait loci (QTL) associated with fat deposition traits in pigs are important gene positions in a chromosome that influence meat quality of pork. For QTL study, a three generation resource population was constructed from a cross between Korean native boars and Landrace sows. A total of 240 F2 animals from intercross of F1 were produced. 80 microsatellite markers covering chromosomes 1 to 10 were selected to genotype the resource population. Intervals between adjacent markers were approximately 19 cM. Linkage analysis was performed using CRIMAP software version 2.4 with a FIXED option to obtain the map distances. For QTL analysis, the public web-based software, QTL express (http://www.qtl.cap.ed.ac.uk) was used. Two significant and two suggestive QTL were identified on SSC 6, 7, and 8 as affecting body fat and IMF traits. For QTL affecting IMF, the most significant association was detected between marker sw71 and sw1881 on SSC 6, and a suggestive QTL was identified between sw268 and sw205 on SSC8. These QTL accounted for 26.58% and 12.31% of the phenotypic variance, respectively. A significant QTL affecting IMF was detected at position 105 cM between markers sw71 and sw1881 on SSC 6.