Maiorano Amanda Marchi, Cardoso Diercles Francisco, Carvalheiro Roberto, Júnior Gerardo Alves Fernandes, de Albuquerque Lúcia Galvão, de Oliveira Henrique Nunes
Faculdade de Ciências Agrárias e Veterinárias, Universidade Estadual Paulista "Júlio de Mesquita Filho", Jaboticabal, Sao Paulo, Brazil; Faculdade de Medicina Veterinária, Universidade Federal de Uberlândia, Uberlândia, Minas Gerais, Brazil.
University of Guelph, Ontario, Canada.
Genomics. 2022 Mar;114(2):110304. doi: 10.1016/j.ygeno.2022.110304. Epub 2022 Feb 5.
Nelore cattle breed was farmed worldwide due to its economic importance in the beef market and adaptation to the tropics. In Brazil, purebred Nelore animals (PO) receive a certificate from the breeders' association based on the animal's genealogy and morphological characterization. The top 20 to 30% of the superior animals are eligible to receive the Special Certificate of Identification and Production (CEIP), meaning animals from this category were selected and evaluated in a breeding program to improve economically important traits. We used whole-genome sequencing and approaches based on haplotype differentiation and allelic differentiation to detect regions of selection signatures in Nelore cattle by comparing animals from PO and CEIP categories. From a total of 150 animals, a hierarchical clustering analysis was performed to choose the more unrelated animals from each category (16 PO and 40 CEIP). The hapFLK statistic was performed, and extensions of hapFLK values were investigated considering continuous regions with significant q-values. The Weir and Cockerham's Fst estimator (wcFst) was computed using the GPAT++ software library. The total of 82,326 SNPs with hapFLK values passed the FDR control (q-value<0.05), and 718 segments were target as signatures of selection. A total of 1713 highly differentiated genomic regions were identified based on the segmentFst approach. The signatures of selection were spread across the genome. Annotation of overlapping selection signature regions between the two methods revealed 118 genes in common. A variant located within the 3' region of the BOLA-DRB3 gene was found as a promising candidate polymorphism. Within genomic regions that deserves attention, we found genes previously associated with adaptation to tropical environments (HELB), growth and navel size (HMGA2), fat deposition and domestication (IRAK3), and feed efficiency and postmortem carcass traits (GABRG3). The genes BOLA-DQA2, BOLA-DQB, BOLA-DQA5, BOLA-DQA1, BOLA-DRB3, ENSBTAG00000038397 on chromosome 23 are part of the Bovine Major Histocompatibility Complex (MHC) Class II gene family, representing good candidates for immune response and adaptation to tropical conditions. The BoLA family genes and the interaction of ROBO1 with SLIT genes appeared in the enrichment results. Genomic regions located in intronic regions were also identified and might play a regulatory role in traits under selection in PO and CEIP subpopulations. The regions here identified contribute to our knowledge regarding genes and variants that have an important role in complex traits selected in this breed.
内罗牛品种因其在牛肉市场的经济重要性以及对热带地区的适应性而在全球范围内养殖。在巴西,纯种内罗牛(PO)根据其系谱和形态特征从育种协会获得证书。最优秀的20%至30%的动物有资格获得特殊识别与生产证书(CEIP),这意味着该类别的动物是在育种计划中经过挑选和评估以改善经济重要性状的。我们使用全基因组测序以及基于单倍型分化和等位基因分化的方法,通过比较PO和CEIP类别的动物来检测内罗牛的选择信号区域。从总共150只动物中,进行了层次聚类分析,以从每个类别中选择亲缘关系较远的动物(16只PO和40只CEIP)。计算了hapFLK统计量,并考虑具有显著q值的连续区域研究了hapFLK值的延伸情况。使用GPAT++软件库计算了Weir和Cockerham的Fst估计值(wcFst)。共有82326个具有hapFLK值的单核苷酸多态性(SNP)通过了错误发现率控制(q值<0.05),718个片段被确定为选择信号。基于segmentFst方法共鉴定出1713个高度分化的基因组区域。选择信号分布在整个基因组中。对两种方法重叠的选择信号区域进行注释发现了118个共同基因。位于BOLA - DRB3基因3'区域内的一个变异被发现是一个有前景的候选多态性。在值得关注的基因组区域内,我们发现了先前与适应热带环境(HELB)、生长和肚脐大小(HMGA2)、脂肪沉积和驯化(IRAK3)以及饲料效率和宰后胴体性状(GABRG3)相关的基因。23号染色体上的基因BOLA - DQA2、BOLA - DQB、BOLA - DQA5、BOLA - DQA1、BOLA - DRB3、ENSBTAG00000038397是牛主要组织相容性复合体(MHC)II类基因家族的一部分,是免疫反应和适应热带条件的良好候选基因。BoLA家族基因以及ROBO1与SLIT基因的相互作用出现在富集结果中。位于内含子区域的基因组区域也被鉴定出来,可能在PO和CEIP亚群体选择的性状中起调控作用。这里鉴定出的区域有助于我们了解在该品种选择的复杂性状中起重要作用的基因和变异。