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웅취 관련 호르몬(Androstenone, Indole 및 Skatole)에 대한 전장유전체연관분석(GWAS)

Genome-wide Association Study (GWAS) Analysis for Boar Taint Hormone (Androstenone, Indole and Skatole)

정영철|이상민|이중재|정종현|박준|나종삼
농업생명과학연구원 (Institute of Agriculture & Life Science, Gyeongsang National University)|2022|농업생명과학연구 (Journal of Agriculture & Life Science)|제56권 제2호|pp. 61-69

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참고문헌

키워드

GWAS전장유전체연관분석스카톨안드로스테논웅취 호르몬인돌AndrostenoneBoar taintIndoleSkatole

초록

본 연구는 Yorkshire종, Landrace종 및 Duroc종에 대한 유전체자료를 이용하여 수퇘지의 웅취를 유발하는 세 가지 호르몬인 androstenone, indole 및 skatole 호르몬에 대한 유의적인 유전자영역, SNP 마커 및 후보유전자를 발굴하여 최종적으로 저웅취 종돈을 육종하는데 그 목적이있다. Genomoe-Wide Association Study를 수행하기 위한 참조집단으로 수집한 유전체 정보는 Yorkshire, Landrace 및 Duroc종에서 각각 3,858 두, 472두 및 1,029두로 총 5,359두에 대한 유전체자료를 분석에 이용하였다. 추정되는 육종가의 정확도를 평가하기 위하여 REML방법을 ASREML 4.1 소프트웨어를 이용하여 분석하였고 세 가지 호르몬에 대하여 다형질 개체모형을 적용하였으며 추정된 육종가로부터 산출한 deregreessed DEBVincPA를 반응변수로 이용하여 연구를 수행하였다. 세 가지 호르몬에 대하여 BayesB와 C의 방법론을 통하여 분석한 결과 BayesB에서세 가지 호르몬과 연관될 것으로 예상되는 SNP marker 9개, 즉 androstenone에서 3개, indole에서 1개 및 skatole에서 5개가 발굴되었다. BayesC에서는 이보다 적은 SNP marker 3개가 발굴되었다. 수퇘지의 웅취 호르몬에 영향을 미칠 것으로 예상되는 후보유전자는 총 6개로 각각 LMAN2L, ABLI, NRG3, CDH12, TRAPPC9, MAN1A2로 나타났다.

Abstract

The purpose of this study was to identify SNP markers associated for boar-taint hormones (androstenone, skatole, and indole) causing unpleasant flavor from pork of uncastrated boars. Genomic data were collected from a reference group that constituted three breeds, Yorkshire, Landrace, and Duroc. The numbers of pigs used for the genome-wide association study (GWAS) were 5,359 heads, which were 3,858 heads of Yorkshire, 472 heads of Landrace, and 1,027 heads of Duroc. Fat samples were collected from pigs' living bodies using the BIopsy machine, and they were classified into low boar-taint boars and others by chemical analysis of back fat hormone levels. Through the GWAS analysis of the low boar taint boar group, significant genetic markers and candidate genes for three boar taint hormones were discovered. To estimate the breeding value and genomic accuracy, REML was analyzed using ASREML4.1 software, a multi-traits animal model was applied to the three hormones, and DEBVincPA deregressed from the estimated breeding value was used as a response variable. As a result of analyzing the three hormones using the BayesB and BayesC methodology, 9 SNP markers were found to be associated with the three hormones by Bayes B method to be related to the three hormones were discovered in the BayesB methodology. In the BayesC methodology, three fewer SNP markers were discovered. As candidate genes expected to affect boar taint hormones, a total of six genes were discovered: LMAN2L, ABLI, NRG3, CDH12, TRAPPC9, and MAN1A2.

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