Kour Aneet, Deb Sitangsu Mohan, Nayee Nilesh, Raina Varinder Singh, Yadav Vandana, Niranjan Saket Kumar
ICAR-National Dairy Research Institute, Karnal, Haryana 132001 India.
ICAR-National Research Centre on Yak, Dirang, Arunachal Pradesh 790101 India.
3 Biotech. 2021 Nov;11(11):466. doi: 10.1007/s13205-021-03012-2. Epub 2021 Oct 20.
This study elucidated potential genetic variants and QTLs associated with clinical mastitis incidence traits in breed, Sahiwal. Estimated breeding values for the traits (calculated using Bayesian inference) were used as pseudo-phenotypes for association with genome-wide SNPs and further QTL regions underlying the traits were identified. In all, 25 SNPs were found to be associated with the traits at the genome-wide suggestive threshold ( ≤ 5 × 10) and these SNPs were used to define QTL boundaries based on the linkage disequilibrium structure. A total of 16 QTLs were associated with the trait EBVs including seven each for clinical mastitis incidence (CMI) in first and second lactations and two for CMI in third lactation. Nine out of sixteen QTLs overlapped with the already reported QTLs for mastitis traits, whereas seven were adjudged as novel ones. Important candidates for clinical mastitis in the identified QTL regions included DNAJB9, ELMO1, ARHGAP26, NR3C1, CACNB2, RAB4A, GRB2, NUP85, SUMO2, RBPJ, and RAB33B genes. These findings shed light on the genetic architecture of the disease in , and present potential regions for fine mapping and downstream analysis in future.
本研究阐明了与萨希瓦尔品种临床乳腺炎发病性状相关的潜在遗传变异和数量性状基因座(QTL)。利用性状的估计育种值(通过贝叶斯推断计算)作为伪表型与全基因组单核苷酸多态性(SNP)进行关联,并进一步确定了性状潜在的QTL区域。总共发现25个SNP在全基因组暗示性阈值(≤5×10)下与这些性状相关,这些SNP被用于基于连锁不平衡结构定义QTL边界。共有16个QTL与性状估计育种值相关,其中包括首次泌乳和第二次泌乳临床乳腺炎发病率(CMI)各7个,第三次泌乳CMI 2个。16个QTL中有9个与已报道的乳腺炎性状QTL重叠,而7个被判定为新的QTL。在确定的QTL区域中,临床乳腺炎的重要候选基因包括DNAJB9、ELMO1、ARHGAP26、NR3C1、CACNB2、RAB4A、GRB2、NUP85、SUMO2、RBPJ和RAB33B基因。这些发现揭示了该品种疾病的遗传结构,并为未来的精细定位和下游分析提供了潜在区域。