选择(遗传算法)
繁殖
适应性
基因
生物
进化生物学
候选基因
遗传力
生物技术
选择性扫描
航程(航空)
遗传学
基因型
生态学
复合材料
人工智能
材料科学
单倍型
计算机科学
作者
Divya Rajawat,Manjit Panigrahi,Harshit Kumar,Sonali Sonejita Nayak,K.A. Saravanan,Bharat Bhushan,Triveni Dutt
标识
DOI:10.1080/15440478.2022.2069198
摘要
The present broad range of sheep phenotypic variation is the consequence of selection for various production characteristics such as wool, milk, meat, and natural adaptability to diverse situations. In the current study, the genomic data of 79 animals from three Indian sheep breeds (Changthangi, Deccani, and Garole) were explored to decipher regions under positive selection for various productive traits using various statistical tools. We found 61, 102 regions using Tajima’s D, CLR and 58, 38, and 71 regions using FST, FLK, and hapFLK, respectively, under selective sweep. Significant candidate genes related to various important traits, such as KLHL for fibre diameter and the OMA1 gene for feed-induced thermogenesis in Changthangi, were identified. In addition, the SYCP2 and NAPAS3 genes were found to be associated with seasonal reproductivity, and BMPR1B for fertilization capacity in Garole. In a previous study, the HSPA6 gene (Garole) was found to be associated with thermo-tolerance in the Angus sheep breed. The outcomes discussed here provide a basis for detecting selective sweeps that underlie genetic variations of traits that have functional importance.
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