Calderón-Chagoya René, Vega-Murillo Vicente Eliezer, García-Ruiz Adriana, Ríos-Utrera Ángel, Martínez-Velázquez Guillermo, Montaño-Bermúdez Moisés
Facultad de Medicina Veterinaria y Zootecnia, Universidad Nacional Autónoma de México, Ciudad Universitaria, Ciudad de México 04510, México.
Centro Nacional de Investigación Disciplinaria en Fisiología y Mejoramiento Animal, Instituto Nacional de Investigaciones Forestales, Agrícolas y Pecuarias, Colón, Querétaro 76280, México.
Anim Biosci. 2023 Jan;36(1):19-28. doi: 10.5713/ab.21.0517. Epub 2022 Jun 30.
The objective of this study was to perform genome (genome wide association studies [GWAS]) and chromosome (CWAS) wide association analyses to identify single nucleotide polymorphisms (SNPs) associated with growth traits in registered Simmental and Simbrah cattle.
The phenotypes were deregressed BLUP EBVs for birth weight, weaning weight direct, weaning weight maternal, and yearling weight. The genotyping was performed with the GGP Bovine 150k chip. After the quality control analysis, 105,129 autosomal SNP from 967 animals (473 Simmental and 494 Simbrah) were used to carry out genotype association tests. The two association analyses were performed per breed and using combined information of the two breeds. The SNP associated with growth traits were mapped to their corresponding genes at 100 kb on either side.
A difference in magnitude of posterior probabilities was found across breeds between genome and chromosome wide association analyses. A total of 110, 143, and 302 SNP were associated with GWAS and CWAS for growth traits in the Simmental-, Simbrah-and joint -data analyses, respectively. It stands out from the enrichment analysis of the pathways for RNA polymerase (POLR2G, POLR3E) and GABAergic synapse (GABRR1, GABRR3) for Simmental cattle and p53 signaling pathway (BID, SERPINB5) for Simbrah cattle.
Only 6,265% of the markers associated with growth traits were found using CWAS and GWAS. The associated markers using the CWAS analysis, which were not associated using the GWAS, represents information that due to the model and priors was not associated with the traits.
本研究的目的是进行全基因组(全基因组关联研究[GWAS])和全染色体(CWAS)关联分析,以确定与注册西门塔尔牛和西门塔尔-婆罗门杂交牛生长性状相关的单核苷酸多态性(SNP)。
表型为出生体重、断奶体重直接效应、断奶体重母体效应和周岁体重的去回归最佳线性无偏预测(BLUP)估计育种值。使用GGP牛150k芯片进行基因分型。经过质量控制分析后,来自967头动物(473头西门塔尔牛和494头西门塔尔-婆罗门杂交牛)的105,129个常染色体SNP用于进行基因型关联测试。对每个品种以及使用两个品种的综合信息进行了两种关联分析。将与生长性状相关的SNP定位到其两侧100 kb范围内的相应基因上。
在全基因组和全染色体关联分析中,不同品种之间发现后验概率大小存在差异。在西门塔尔牛、西门塔尔-婆罗门杂交牛和联合数据分析中,分别有110、143和302个SNP与生长性状的GWAS和CWAS相关。西门塔尔牛的RNA聚合酶(POLR2G、POLR3E)和GABA能突触(GABRR1、GABRR3)途径以及西门塔尔-婆罗门杂交牛的p53信号通路(BID、SERPINB5)的富集分析尤为突出。
使用CWAS和GWAS仅发现了6.265%与生长性状相关的标记。使用CWAS分析发现的相关标记,而使用GWAS未发现,代表了由于模型和先验信息而与性状不相关的信息。