Literature DB >> 21346135

Revealing genetic relationships between compounds affecting boar taint and reproduction in pigs.

E Grindflek1, T H E Meuwissen, T Aasmundstad, H Hamland, M H S Hansen, T Nome, M Kent, P Torjesen, S Lien.   

Abstract

Boar taint is characterized by an unpleasant taste or odor in intact male pigs and is primarily attributed to increased concentrations of androstenone and skatole and to a lesser extent by increased indole. The boar taint compounds skatole and indole are produced by gut bacteria, metabolized in the liver, and stored in the fat tissue. Androstenone, on the other hand, is synthesized in the testis along with testosterone and estrogens, which are known to be important factors affecting fertility. The main goal of this study was to investigate the relationship between genetic factors involved in the primary boar taint compounds in an attempt to discover ways to reduce boar taint without decreasing fertility-related compounds. Heritabilities and genetic correlations between traits were estimated for compounds related to boar taint (androstenone, skatole, indole) and reproduction (testosterone, 17β-estradiol, and estrone sulfate). Heritabilities in the range of 0.47 to 0.67 were detected for androstenone concentrations in both fat and plasma, whereas those for skatole and indole were slightly less (0.27 to 0.41). The genetic correlations between androstenone in plasma and fat were extremely high (0.91 to 0.98) in Duroc and Landrace. In addition, genetic correlations between androstenone (both plasma and fat) and the other sex steroids (estrone sulfate, 17β-estradiol, and testosterone) were very high, in the range of 0.80 to 0.95. Furthermore, a genome-wide association study (GWA) and a combined linkage disequilibrium and linkage analysis (LDLA) were conducted on 1,533 purebred Landrace and 1,027 purebred Duroc to find genome regions involved in genetic control of the boar taint compounds androstenone, skatole, and indole, and sex hormones related to fertility traits. Up to 3,297 informative SNP markers were included for both breeds, including SNP from several boar taint candidate genes. From the GWA study, we found that altogether 27 regions were significant at a genome-wide level (P < 0.05) and an additional 7 regions were significant at a chromosomal level. From the LDLA study, 7 regions were significant on a genome-wide level and an additional 7 regions were significant at a chromosomal level. The most convincing associations were obtained in 6 regions affecting skatole and indole in fat on chromosomes 1, 2, 3, 7, 13, and 14, 1 region on chromosome 6 affecting androstenone in plasma only, and 5 regions on chromosomes 3, 4, 13, and 15 affecting androstenone, testosterone, and estrogens.

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Year:  2011        PMID: 21346135     DOI: 10.2527/jas.2010-3290

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


  17 in total

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2.  Genome-wide association scan and phased haplotype construction for quantitative trait loci affecting boar taint in three pig breeds.

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Journal:  Genet Sel Evol       Date:  2011-04-19       Impact factor: 4.297

4.  Large scale genome-wide association and LDLA mapping study identifies QTLs for boar taint and related sex steroids.

Authors:  Eli Grindflek; Sigbjørn Lien; Hanne Hamland; Marianne H S Hansen; Matthew Kent; Maren van Son; Theo H E Meuwissen
Journal:  BMC Genomics       Date:  2011-07-13       Impact factor: 3.969

5.  Identification of the novel candidate genes and variants in boar liver tissues with divergent skatole levels using RNA deep sequencing.

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6.  Pathway based analysis of genes and interactions influencing porcine testis samples from boars with divergent androstenone content in back fat.

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7.  On the relationship between an Asian haplotype on chromosome 6 that reduces androstenone levels in boars and the differential expression of SULT2A1 in the testis.

Authors:  André M Hidalgo; John W M Bastiaansen; Barbara Harlizius; Hendrik-Jan Megens; Ole Madsen; Richard P M A Crooijmans; Martien A M Groenen
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Review 10.  Multi-omic data integration and analysis using systems genomics approaches: methods and applications in animal production, health and welfare.

Authors:  Prashanth Suravajhala; Lisette J A Kogelman; Haja N Kadarmideen
Journal:  Genet Sel Evol       Date:  2016-04-29       Impact factor: 4.297

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