基于全基因组关联分析挖掘水牛产奶相关基因

Genes related to milk production in buffaloes based on genome-wide association analysis

  • 摘要: 【目的】 基于全基因组关联分析筛选影响水牛产奶量和产奶质量的相关基因,并验证这些基因的潜在功能,为加快优质高产水牛品种选育提供理论依据。【方法】 选取70头水牛(36头杂交水牛、18头摩拉水牛和16头尼里—拉菲水牛)进行产奶性状表型值测量,同时提取70头水牛的基因组DNA进行简化基因组重测序,结合水牛产奶性状进行主成分分析和全基因组关联分析,基于筛选到的SNP位点查找候选基因并进行GO功能注释分析和KEGG信号通路富集分析。【结果】 70头水牛均具有完整的表型值,且这些产奶性状间存在极显著相关性(P<0.01); 70头水牛不存在明显的群体分层,基本上可视为1个群体。在与水牛产奶量关联的12个SNPs附近筛选到9个候选基因,其中CDH8SLC30A7FANCC等3个基因是与水牛产奶量相关的关键基因;在与水牛高峰产奶量关联的32个SNPs附近筛选到28个候选基因,Yeats4SMC6SUMO1Grin2aINO80GEN1Exd1GDPD4ABCG5LRRK2ArxGRM5等12个基因是与水牛高峰产奶量相关的关键基因;在与水牛乳蛋白率关联的3个SNPs附近筛选到1个候选基因(MID1),显著富集于GO功能条目和KEGG信号通路上(P<0.05,下同);在与水牛乳脂率关联的3个SNPs附近筛选到1个候选基因(CNTN5),显著富集于GO功能条目上;在与水牛乳蛋白含量关联的4个SNPs附近筛选到1个候选基因(FAM160A1),但该基因并未富集到GO功能条目或KEGG信号通路上;在与水牛乳脂含量关联的7个SNPs附近筛选到6个候选基因,其中CTNNA2SSBP2IPOll基因是与水牛乳脂含量相关的关键基因。【结论】 基于全基因组关联分析从70头水牛中挖掘出46个产奶性状候选基因,其中20个是水牛产奶性状的关键基因,因此,生产中可选用这些基因作为新的分子标记资源,加速水牛良种选育。此外,基于全基因组关联分析能高效挖掘出水牛产奶相关基因,为数量性状研究开辟了新方向。

     

    Abstract: 【Objective】 Based on genome-wide association analysis,the relevant genes affecting the milk production and milk quality of buffaloes were screened out,and the potential functions of these genes were verified,which could provide theoretical basis for accelerating the breeding of high-quality and high-yield buffalo breeds. 【Method】 Seventy buffaloes(36 crossbred buffaloes,18 Murrah buffaloes,and 16 Nili-Ravi buffaloes)were selected for the measurement of phenotypic values related to milk production traits. Genomic DNA was extracted from these 70 buffaloes and subjected to reduced genome sequencing. Principal component analysis and genome-wide association studies were conducted in conjunction with the milk production traits of buffaloes. Based on the identified SNP loci,candidate genes were searched, followed by GO functional annotation analysis and KEGG signaling pathway enrichment analysis. 【Result】 All 70 buffaloes had complete phenotypic values,and there were extremely significant correlations among these milk production traits (P<0.01). The 70 buffaloes did not show obvious population stratification and could essentially be regarded as a population. A total of 9 candidate genes were identified near 12 SNPs associated with buffalo milk production,among which 3 genes,CDH8SLC30A7 and FANCC,were key genes related to the milk production of buffaloes;28 candidate genes were identified near 32 SNPs associated with buffalo peak milk production,among which 12 genes,Yeats4SMC6SUMO1Grin2aINO80GEN1Exd1GDPD4ABCG5LRRK2Arx and GRM5,were key genes related to the peak milk production of buffaloes;1 candidate gene(MID1)was identified near 3 SNPs associated with buffalo milk protein rate,which was significantly enriched in GO functional terms and KEGG signaling pathways(P<0.05,the same below); 1 candidate gene(CNTN5)was identified near 3 SNPs associated with buffalo milk fat rate,which was significantly enriched in GO functional terms and KEGG signaling pathways;1 candidate gene(FAM160A1)was identified near 4 SNPs associated with buffalo milk protein content,but this gene was not enriched in any GO functional terms or KEGG signaling pathways;and 6 candidate genes were identified near 7 SNPs associated with buffalo milk fat content,and CTNNA2SSBP2 and IPOll genes were key gene related to buffalo milk fat content. 【Conclusion】 Based on genome-wide association analysis,46 candidate genes for milk production traits are identified from 70 buffaloes,among which 20 are key genes for milk production traits in buffaloes. Therefore,these genes can be selected as new molecular marker resources in production to accelerate the breeding of superior buffalo breeds. Furthermore,based on genome-wide association analysis,genes related to milk production in buffaloes can be efficiently mined,opening up a new direction for quantitative trait research.

     

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