安格斯-婆罗门杂交小母牛妊娠成功的数量性状基因座和相关候选基因的鉴定。

IF 6.3 Q1 AGRICULTURE, DAIRY & ANIMAL SCIENCE
Quinn A Hoorn, Gabriel A Zayas, Eduardo E Rodriguez, Laura M Jensen, Raluca G Mateescu, Peter J Hansen
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引用次数: 0

摘要

背景:在肉牛中,生产一单位牛肉的能量输入的50%以上由生产小牛的雌性消耗。开发基因组工具来识别在生殖功能方面具有高遗传价值的女性,可以提高牛肉生产的盈利能力和可持续性。结果:使用一步基因组最佳线性无偏预测方法对安格斯-婆罗门杂交小母牛群体的妊娠结果特征进行了全基因组关联研究(GWAS)。此外,使用来自另一个农场的数据进行了验证GWAS。用含有221077个SNPs的牛GGP F250阵列对小母牛进行基因分型。在发现群体中,小母牛在冬季繁殖季节繁殖,包括单轮定时人工授精(AI),然后自然交配3个月。分析了两种表型:首次服务AI的妊娠结局(PAI;n = 1481)和繁殖季节结束时的妊娠状态(PEBS;n = 1725)。PAI和PEBS的遗传力分别为0.149和0.122。在PAI模型中,位于BTA7上52.3至52.5Mb之间的一个数量性状基因座(QTL)解释了大约3%的遗传变异,该基因座位于包含γ-原粘着蛋白基因簇和SLC25A2的区域。在BTA12和25上发现了解释遗传变异0.5%至1%的其他QTL。在PEBS模型中,BTA7上的大QTL与PAI的QTL同义,BTA5、9、10、11、19和20上的小QTL。繁殖季节结束时妊娠状态的验证群体是通过自然交配培育的安格斯-婆罗门杂交小母牛。与发现群体一致,在BTA7上鉴定出大QTL,在BTA10和12上鉴定出QTL。结论:总之,所鉴定的QTL和候选SNPs与小母牛的妊娠结局有关,包括与一组原粘着蛋白基因相关的大QTL。确认这些与更大种群的关联可能会导致对肉牛生殖功能的基因组预测的发展。此外,还需要进一步研究与QTL相关的候选基因的功能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Identification of quantitative trait loci and associated candidate genes for pregnancy success in Angus-Brahman crossbred heifers.

Identification of quantitative trait loci and associated candidate genes for pregnancy success in Angus-Brahman crossbred heifers.

Identification of quantitative trait loci and associated candidate genes for pregnancy success in Angus-Brahman crossbred heifers.

Identification of quantitative trait loci and associated candidate genes for pregnancy success in Angus-Brahman crossbred heifers.

Background: In beef cattle, more than 50% of the energy input to produce a unit of beef is consumed by the female that produced the calf. Development of genomic tools to identify females with high genetic merit for reproductive function could increase the profitability and sustainability of beef production.

Results: Genome-wide association studies (GWAS) were performed using a single-step genomic best linear unbiased prediction approach on pregnancy outcome traits from a population of Angus-Brahman crossbred heifers. Furthermore, a validation GWAS was performed using data from another farm. Heifers were genotyped with the Bovine GGP F250 array that contains 221,077 SNPs. In the discovery population, heifers were bred in winter breeding seasons involving a single round of timed artificial insemination (AI) followed by natural mating for 3 months. Two phenotypes were analyzed: pregnancy outcome to first-service AI (PAI; n = 1,481) and pregnancy status at the end of the breeding season (PEBS; n = 1,725). The heritability was estimated as 0.149 and 0.122 for PAI and PEBS, respectively. In the PAI model, one quantitative trait locus (QTL), located between 52.3 and 52.5 Mb on BTA7, explained about 3% of the genetic variation, in a region containing a cluster of γ-protocadherin genes and SLC25A2. Other QTLs explaining between 0.5% and 1% of the genetic variation were found on BTA12 and 25. In the PEBS model, a large QTL on BTA7 was synonymous with the QTL for PAI, with minor QTLs located on BTA5, 9, 10, 11, 19, and 20. The validation population for pregnancy status at the end of the breeding season were Angus-Brahman crossbred heifers bred by natural mating. In concordance with the discovery population, the large QTL on BTA7 and QTLs on BTA10 and 12 were identified.

Conclusions: In summary, QTLs and candidate SNPs identified were associated with pregnancy outcomes in beef heifers, including a large QTL associated with a group of protocadherin genes. Confirmation of these associations with larger populations could lead to the development of genomic predictions of reproductive function in beef cattle. Moreover, additional research is warranted to study the function of candidate genes associated with QTLs.

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