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BMC Genet. 2015 Aug 20;16:104. doi: 10.1186/s12863-015-0265-1.

Exploring evidence of positive selection reveals genetic basis of meat quality traits in Berkshire pigs through whole genome sequencing.

Author information

1
Interdisciplinary Program in Bioinformatics, Seoul National University, Kwan-ak St. 599, Seoul, Kwan-ak Gu, 151-741, Republic of Korea. hs_jeong@snu.ac.kr.
2
Department of Animal Biotechnology, Chonbuk National University, Jeonju, 561-756, Republic of Korea. kiduk.song@gmail.com.
3
Interdisciplinary Program in Bioinformatics, Seoul National University, Kwan-ak St. 599, Seoul, Kwan-ak Gu, 151-741, Republic of Korea. nijorral@gmail.com.
4
Department of Animal Sciences, University of Illinois, Urbana, IL, 61801, USA. kelseyca@gmail.com.
5
Interdisciplinary Program in Bioinformatics, Seoul National University, Kwan-ak St. 599, Seoul, Kwan-ak Gu, 151-741, Republic of Korea. jmkim85@snu.ac.kr.
6
Interdisciplinary Program in Bioinformatics, Seoul National University, Kwan-ak St. 599, Seoul, Kwan-ak Gu, 151-741, Republic of Korea. asleo@cnkgenomics.com.
7
C&K genomics, Main Bldg. #514, SNU Research Park, Seoul, 151-919, Republic of Korea. asleo@cnkgenomics.com.
8
Department of Animal Biotechnology, Chonbuk National University, Jeonju, 561-756, Republic of Korea. oh5ow@naver.com.
9
Department of Animal Science, Iowa State University, Ames, IA, 50011, USA. ekim5@uwalumni.com.
10
Department of Animal Biotechnology, Faculty of Biotechnology, Jeju National University, Ara-1 Dong, Jeju-Do, Jeju, 690-756, Republic of Korea. dkjeong@jejunu.ac.kr.
11
C&K genomics, Main Bldg. #514, SNU Research Park, Seoul, 151-919, Republic of Korea. seoae@cnkgenomics.com.
12
Interdisciplinary Program in Bioinformatics, Seoul National University, Kwan-ak St. 599, Seoul, Kwan-ak Gu, 151-741, Republic of Korea. heebal@snu.ac.kr.
13
C&K genomics, Main Bldg. #514, SNU Research Park, Seoul, 151-919, Republic of Korea. heebal@snu.ac.kr.
14
Department of Agricultural Biotechnology, Seoul National University, Seoul, 151-742, South Korea. heebal@snu.ac.kr.
15
Department of Animal Biotechnology, Chonbuk National University, Jeonju, 561-756, Republic of Korea. breedlee@empas.com.

Abstract

BACKGROUND:

Natural and artificial selection following domestication has led to the existence of more than a hundred pig breeds, as well as incredible variation in phenotypic traits. Berkshire pigs are regarded as having superior meat quality compared to other breeds. As the meat production industry seeks selective breeding approaches to improve profitable traits such as meat quality, information about genetic determinants of these traits is in high demand. However, most of the studies have been performed using trained sensory panel analysis without investigating the underlying genetic factors. Here we investigate the relationship between genomic composition and this phenotypic trait by scanning for signatures of positive selection in whole-genome sequencing data.

RESULTS:

We generated genomes of 10 Berkshire pigs at a total of 100.6 coverage depth, using the Illumina Hiseq2000 platform. Along with the genomes of 11 Landrace and 13 Yorkshire pigs, we identified genomic variants of 18.9 million SNVs and 3.4 million Indels in the mapped regions. We identified several associated genes related to lipid metabolism, intramuscular fatty acid deposition, and muscle fiber type which attribute to pork quality (TG, FABP1, AKIRIN2, GLP2R, TGFBR3, JPH3, ICAM2, and ERN1) by applying between population statistical tests (XP-EHH and XP-CLR). A statistical enrichment test was also conducted to detect breed specific genetic variation. In addition, de novo short sequence read assembly strategy identified several candidate genes (SLC25A14, IGF1, PI4KA, CACNA1A) as also contributing to lipid metabolism.

CONCLUSIONS:

Results revealed several candidate genes involved in Berkshire meat quality; most of these genes are involved in lipid metabolism and intramuscular fat deposition. These results can provide a basis for future research on the genomic characteristics of Berkshire pigs.

PMID:
26289667
PMCID:
PMC4545873
DOI:
10.1186/s12863-015-0265-1
[Indexed for MEDLINE]
Free PMC Article

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