Molecular characterization of five porcine candidate genes for drip loss in pork

Karol, A.; Drögemüller, Cord; Wimmers, K.; Schellander, K.; Leeb, Tosso (2010). Molecular characterization of five porcine candidate genes for drip loss in pork. Animal biotechnology, 21(2), pp. 114-21. New York, N.Y.: Marcel Dekker 10.1080/10495390903534457

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Drip loss is the loss of fluid from a piece of meat without mechanical force and represents an important meat quality trait. Previous work revealed a quantitative trait locus (QTL) for drip loss in pork in an experimental Duroc x Pietrain (DUPI) F2 family on SSC 5. Based on functional data indicating their possible involvement in water holding capacity and their expression in skeletal muscle, we selected five positional candidates (ACO2, ADSL, CBY1, KCNJ4, PLA2AG6) out of 130 predicted genes in the QTL interval for further analysis. We performed a mutation analysis of all coding exons and discovered 204 polymorphisms. We genotyped 39 single nucleotide polymorphisms (SNPs) in 192 Pietrain pigs with extreme drip loss phenotypes and detected a possible association with drip loss for one non-coding SNP in the ADSL gene (ss107793818, p(raw) = 0.021). Correspondingly, ADSL diplotypes were associated with drip loss and pH1 of M. longissimus dorsi. However, after correction for multiple testing, none of the tested SNPs were significantly associated with drip loss. One possible explanation for these results is that one of the QTL-alleles from the experimental DUPI family may be fixed or nearly fixed in the tested Pietrain population.

Item Type:

Journal Article (Original Article)

Division/Institute:

05 Veterinary Medicine > Department of Clinical Research and Veterinary Public Health (DCR-VPH)
05 Veterinary Medicine > Department of Clinical Research and Veterinary Public Health (DCR-VPH) > Institute of Genetics

UniBE Contributor:

Drögemüller, Cord, Leeb, Tosso

Subjects:

500 Science > 590 Animals (Zoology)
600 Technology > 630 Agriculture

ISSN:

1049-5398

Publisher:

Marcel Dekker

Language:

English

Submitter:

Factscience Import

Date Deposited:

04 Oct 2013 14:33

Last Modified:

05 Dec 2022 14:10

Publisher DOI:

10.1080/10495390903534457

Web of Science ID:

000276455400005

URI:

https://boris.unibe.ch/id/eprint/12795 (FactScience: 219267)

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