Literature DB >> 12807782

Identification of quantitative trait loci for production traits in commercial pig populations.

G J Evans1, E Giuffra, A Sanchez, S Kerje, G Davalos, O Vidal, S Illán, J L Noguera, L Varona, I Velander, O I Southwood, D-J de Koning, C S Haley, G S Plastow, L Andersson.   

Abstract

The aim of this study was to investigate methods for detecting QTL in outbred commercial pig populations. Several QTL for back fat and growth rate, previously detected in experimental resource populations, were examined for segregation in 10 different populations. Two hundred trait-by-population-by-chromosome tests were performed, resulting in 20 tests being significant at the 5% level. In addition, 53 QTL tests for 11 meat quality traits were declared significant, using a subset of the populations. These results show that a considerable amount of phenotypic variance observed in these populations can be explained by major alleles segregating at several of the loci described. Thus, despite a relatively strong selection pressure for growth and back fat traits in these populations, these alleles have not yet reached fixation. The approaches used here demonstrate that it is possible to verify segregation of QTL in commercial populations by limited genotyping of a selection of informative animals. Such verified QTL may be directly exploited in marker-assisted selection (MAS) programs in commercial populations and their molecular basis may be revealed by positional candidate cloning.

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Year:  2003        PMID: 12807782      PMCID: PMC1462582     

Source DB:  PubMed          Journal:  Genetics        ISSN: 0016-6731            Impact factor:   4.562


  30 in total

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Authors:  L Andersson
Journal:  Nat Rev Genet       Date:  2001-02       Impact factor: 53.242

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Authors:  C Ovilo; M Pérez-Enciso; C Barragán; A Clop; C Rodríquez; M A Oliver; M A Toro; J L Noruera
Journal:  Mamm Genome       Date:  2000-04       Impact factor: 2.957

3.  An imprinted QTL with major effect on muscle mass and fat deposition maps to the IGF2 locus in pigs.

Authors:  C Nezer; L Moreau; B Brouwers; W Coppieters; J Detilleux; R Hanset; L Karim; A Kvasz; P Leroy; M Georges
Journal:  Nat Genet       Date:  1999-02       Impact factor: 38.330

4.  A molecular genome scan analysis to identify chromosomal regions influencing economic traits in the pig. II. Meat and muscle composition.

Authors:  M Malek; J C Dekkers; H K Lee; T J Baas; K Prusa; E Huff-Lonergan; M F Rothschild
Journal:  Mamm Genome       Date:  2001-08       Impact factor: 2.957

5.  Association of PIT1 polymorphisms with growth and carcass traits in pigs.

Authors:  T P Yu; C K Tuggle; C B Schmitz; M F Rothschild
Journal:  J Anim Sci       Date:  1995-05       Impact factor: 3.159

6.  Mapping genomic regions associated with growth rate in pigs.

Authors:  E Casas-Carrillo; A Prill-Adams; S G Price; A C Clutter; B W Kirkpatrick
Journal:  J Anim Sci       Date:  1997-08       Impact factor: 3.159

7.  Selective genotyping for QTL detection using sib pair analysis in outbred populations with hierarchical structures.

Authors:  D G Chatziplis; C S Haley
Journal:  Genet Sel Evol       Date:  2000 Nov-Dec       Impact factor: 4.297

8.  Mapping quantitative trait loci controlling milk production in dairy cattle by exploiting progeny testing.

Authors:  M Georges; D Nielsen; M Mackinnon; A Mishra; R Okimoto; A T Pasquino; L S Sargeant; A Sorensen; M R Steele; X Zhao
Journal:  Genetics       Date:  1995-02       Impact factor: 4.562

9.  Multiple marker mapping of quantitative trait loci in a cross between outbred wild boar and large white pigs.

Authors:  S A Knott; L Marklund; C S Haley; K Andersson; W Davies; H Ellegren; M Fredholm; I Hansson; B Hoyheim; K Lundström; M Moller; L Andersson
Journal:  Genetics       Date:  1998-06       Impact factor: 4.562

10.  Genetic mapping of quantitative trait loci for growth and fatness in pigs.

Authors:  L Andersson; C S Haley; H Ellegren; S A Knott; M Johansson; K Andersson; L Andersson-Eklund; I Edfors-Lilja; M Fredholm; I Hansson
Journal:  Science       Date:  1994-03-25       Impact factor: 47.728

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Journal:  Mamm Genome       Date:  2008-08-19       Impact factor: 2.957

2.  Investigation of four candidate genes (IGF2, JHDM1A, COPB1 and TEF1) for growth rate and backfat thickness traits on SSC2q in Large White pigs.

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Journal:  Mol Biol Rep       Date:  2014-01       Impact factor: 2.316

3.  Genetic analysis of anal atresia in pigs: evidence for segregation at two main loci.

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Journal:  Mamm Genome       Date:  2005-03       Impact factor: 2.957

4.  Association of pig UCP3 gene mutations and back fat thickness in the sixth and seventh rib.

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Journal:  Mol Biol Rep       Date:  2011-06-04       Impact factor: 2.316

5.  Porcine MuRF2 and MuRF3: molecular cloning, expression and association analysis with muscle production traits.

Authors:  H Shen; S H Zhao; J H Cao; X Y Li; B Fan
Journal:  Mol Biol Rep       Date:  2010-12-14       Impact factor: 2.316

6.  Quantitative trait loci variation for growth and obesity between and within lines of pigs (Sus scrofa).

Authors:  Yoshitaka Nagamine; Chris S Haley; Asheber Sewalem; Peter M Visscher
Journal:  Genetics       Date:  2003-06       Impact factor: 4.562

7.  Detection of multiple quantitative trait loci and their pleiotropic effects in outbred pig populations.

Authors:  Yoshitaka Nagamine; Ricardo Pong-Wong; Peter M Visscher; Chris S Haley
Journal:  Genet Sel Evol       Date:  2009-10-06       Impact factor: 4.297

8.  High-resolution comparative mapping of pig Chromosome 4, emphasizing the FAT1 region.

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Journal:  Mamm Genome       Date:  2004-09       Impact factor: 2.957

9.  A genome-wide association study to detect QTL for commercially important traits in Swiss Large White boars.

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10.  Genome-wide association study of meat quality traits in a White Duroc×Erhualian F2 intercross and Chinese Sutai pigs.

Authors:  Junwu Ma; Jie Yang; Lisheng Zhou; Zhiyan Zhang; Huanban Ma; Xianhua Xie; Feng Zhang; Xinwei Xiong; Leilei Cui; Hui Yang; Xianxian Liu; Yanyu Duan; Shijun Xiao; Huashui Ai; Jun Ren; Lusheng Huang
Journal:  PLoS One       Date:  2013-05-28       Impact factor: 3.240

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