Interval mapping of growth in divergent swine cross

Paszek, A. A.; Wilkie, Patricia J.; Flickinger, Gail H.; Rohrer, G. A.; Alexander, L. J.; Beattie, Craig W.; Schook, Lawrence B.

doi:10.1007/s003359900955

Cited by 87 publications

(53 citation statements)

References 13 publications

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“…Similarly, growth gene results were consistent with those obtained in Chinese × White crossbred populations on SSC 1 by Paszek et al [28] for early growth, on SSC 4 by Walling et al [36] and Wang et al [38], in the SLA region on SSC 7 with a fast-growth Meishan allele, by Rothschild et al [35] and Wang et al [38], and in the centre of SSC 13 by Yu et al [40]. Walling et al [36] also detected a QTL on SSC 7, but at a different position and with a favourable Large White allele.…”

Section: Qtl Detectedsupporting

confidence: 90%

Detection of quantitative trait loci for growth and fatness in pigs

et al. 2001

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Abstract

A quantitative trait locus (QTL) analysis of growth and fatness data from a three-generation experimental cross between Meishan (MS) and Large White (LW) pig breeds is presented. Six boars and 23 F1 sows, the progeny of six LW boars and six MS sows, produced 530 F2 males and 573 F2 females. Nine growth traits, i.e. body weight at birth and at 3, 10, 13, 17 and 22 weeks of age, average daily gain from birth to 3 weeks, from 3 to 10 weeks and from 10 to 22 weeks of age, as well as backfat thickness at 13, 17 and 22 weeks of age and at 40 and 60 kg live weight were analysed. Animals were typed for a total of 137 markers covering the entire porcine genome. Analyses were performed using two interval mapping methods: a line-cross (LC) regression method where founder lines were assumed to be fixed for different QTL alleles and a half-/full-sib (HFS) maximum likelihood method where allele substitution effects were estimated within each half-/full-sib family. Both methods revealed highly significant gene effects for growth on chromosomes 1, 4 and 7 and for backfat thickness on chromosomes 1, 4, 5, 7 and X, and significant gene effects on chromosome 6 for growth and backfat thickness. Suggestive QTLs were also revealed by both methods on chromosomes 2 and 3 for growth and 2 for backfat thickness. Significant gene effects were detected for growth on chromosomes 11, 13, 14, 16 and 18 and for backfat thickness on chromosome 8, 10, 13 and 14. LW alleles were associated with high growth rate and low backfat thickness, except for those of chromosome 7 and to a lesser extent early-growth alleles on chromosomes 1 and 2 and backfat thickness alleles on chromosome 6.

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Section: Qtl Detectedsupporting

confidence: 90%

Detection of quantitative trait loci for growth and fatness in pigs

et al. 2001

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“…edu/cgi-bin/QTLdb/BT/index), we only found milk traits in this region, however, some QTLs about growth and meat quality traits were found on the animals that were usually used to study the growth and meat quality traits, such as the swine and chicken RXR gene. The swine RXR gene located on chromosome 1 about from 288.83 to 288.86 Mb, in this region some QTLs associated with production and meat quality traits was mapped, such as abdominal fat weight [29], backfat [30,31], body weight [32] and average daily gain [32,33]. The chicken RXR gene was located on chromosome 17 about from 7.27 to 7.35 Mb, and we found some QTLs associated with meat quality traits located in this region, such as abdominal fat percentage and drumstick weight [34], bone mineral content and tibia length [35], abdominal fat weight [36], body weight [37].…”

Section: Discussionmentioning

confidence: 99%

Tissue expression, association analysis between three novel SNPs of the RXRα gene and growth traits in Chinese indigenous cattle

Gao

Feng

et al. 2013

Chin. Sci. Bull.

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Retinoid X receptor (RXR)  is a member of the nuclear hormone receptor superfamily that mediates the biological effects on several hormones, vitamins, and regulates lipid, glucose and energy metabolism. In this study, the tissue expression profiles of the bovine RXR gene and association analysis of single nucleotide polymorphisms (SNPs) with growth traits were carried out in 413 Chinese native cattle. The expression profile was analysed in ten Jiaxian cattle tissues by real-time PCR, and the results showed that RXR gene was abundantly expressed in adipose tissue and spleen, moderately expressed in heart, liver, lung, kidney, muscle and testis. Meanwhile, three SNPs (T27919A, T28139C and G28142A) and five haplotypes were identified. Haplotype with TTG was dominant with frequency of 69.1%. Chi-square test showed all populations were in Hardy-Weinberg equilibrium (P>0.05) at the three sites except Jiaxian cattle at G28142A site and Qinchuan cattle at T27919A site. Statistical analysis of combined sites showed that the individuals with TTGA genotype had significantly higher heart girth than those with TAGG genotype (P<0.05) and the animals with AAGA genotype had higher body weight than those with TAGG genotype (P<0.05) in T27919A-G28142A site. Heart girth, abdominal circumference and body weight of individuals with TCAG genotype were exceedingly higher than those with TTGG (P<0.01), TTGA and TCGG (P<0.05) in T28139C-G28142A site. For T27919A-T28139C site, the individuals of TCTA and TCTT genotype had significantly higher heart girth and lower height at hip cross than those with TTTA (P<0.05), and the body weight of TCAA and TCTT genotype individuals was higher than those with TTTA (P<0.05). In conclusion, these results provided evidence that the polymorphisms of RXR gene were associated with growth traits and might apply to Chinese indigenous yellow cattle breeding program as a possible candidate for marker-assisted selection (MAS).

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“…The present study shows that Large White alleles have favourable effects on both lean and fat cut weights, with slightly larger effects on lean cuts than on fat cut weight. This genomic area has also been identified as affecting backfat thickness [6,13,39,40], postweaning growth rate [6,34,39], as well as vertebra number in a Meishan × Göttingen cross [44]. Two candidate genes, i.e.…”

Section: Discussionmentioning

confidence: 99%

Detection of�quantitative trait loci for�carcass composition traits in pigs

et al. 2002

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-A quantitative trait locus (QTL) analysis of carcass composition data from a threegeneration experimental cross between Meishan (MS) and Large White (LW) pig breeds is presented. A total of 488 F2 males issued from six F1 boars and 23 F1 sows, the progeny of six LW boars and six MS sows, were slaughtered at approximately 80 kg live weight and were submitted to a standardised cutting of the carcass. Fifteen traits, i.e. dressing percentage, loin, ham, shoulder, belly, backfat, leaf fat, feet and head weights, two backfat thickness and one muscle depth measurements, ham + loin and back + leaf fat percentages and estimated carcass lean content were analysed. Animals were typed for a total of 137 markers covering the entire porcine genome. Analyses were performed using a line-cross (LC) regression method where founder lines were assumed to be fixed for different QTL alleles and a half/full sib (HFS) maximum likelihood method where allele substitution effects were estimated within each half-/full-sib family. Additional analyses were performed to search for multiple linked QTL and imprinting effects. Significant gene effects were evidenced for both leanness and fatness traits in the telomeric regions of SSC 1q and SSC 2p, on SSC 4, SSC 7 and SSC X. Additional significant QTL were identified for ham weight on SSC 5, for head weight on SSC 1 and SSC 7, for feet weight on SSC 7 and for dressing percentage on SSC X. LW alleles were associated with a higher lean content and a lower fat content of the carcass, except for the fatness trait on * Correspondence and reprints E-mail: milan@toulouse.inra.fr, bidanel@dga.jouy.inra.fr 706 D. Milan et al. SSC 7. Suggestive evidence of linked QTL on SSC 7 and of imprinting effects on SSC 6, SSC 7, SSC 9 and SSC 17 were also obtained. pig / gene mapping / quantitative trait locus / carcass composition

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Interval mapping of growth in divergent swine cross

Cited by 87 publications

References 13 publications

Detection of quantitative trait loci for growth and fatness in pigs

Detection of quantitative trait loci for growth and fatness in pigs

Tissue expression, association analysis between three novel SNPs of the RXRα gene and growth traits in Chinese indigenous cattle

Detection of�quantitative trait loci for�carcass composition traits in pigs

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