Abstract:
The Mongolian gerbil is a distinctive experimental animal in China, as its genetic qualities possess significant value in the field of medical biology research. Here, we aimed to establish an economical and efficient panel for genetic quality detection in Mongolian gerbils using single-nucleotide polymorphism (SNP) markers. To search for SNPs, we conducted whole-genome sequencing (WGS) in 40 Mongolian gerbils from outbred populations. Reliable screening criteria were established to preliminarily select SNPs with a wide genome distribution and high levels of polymorphism. Subsequently, a multiple-target regional capture detection system based on second-generation sequencing was developed for SNP genotyping. Based on the results of WGS, 219 SNPs were preliminarily selected, and they were established and optimized in a multiple-amplification system that included 206 SNP loci by genotyping three outbred populations. PopGen.32 analysis revealed that the average effective allele number, Shannon index, observed heterozygosity, expected heterozygosity, average heterozygosity, polymorphism information content, and other population genetic parameters of the Capital Medical University (CMU) gerbils were the highest, followed by those of Zhejiang gerbils and Dalian gerbils. Through scientific screening and optimization, we successfully established a novel, robust, and cost-effective genetic detection system for Mongolian gerbils by utilizing SNP markers for the first time.
摘要:
蒙古沙鼠是我国特有的实验动物,由于其遗传品质在医学生物学研究领域具有重要价值。这里,我们旨在使用单核苷酸多态性(SNP)标记建立一个经济高效的蒙古沙鼠遗传质量检测小组。要搜索SNP,我们对40只来自远交种群的蒙古沙鼠进行了全基因组测序(WGS)。建立了可靠的筛选标准,以初步选择具有广泛基因组分布和高水平多态性的SNP。随后,我们开发了一种基于第二代测序的多靶区域捕获检测系统,用于SNP基因分型.根据WGS的结果,初步筛选出219个SNPs,并通过对三个近交种群进行基因分型,在包括206个SNP基因座的多重扩增系统中建立和优化。PopGen.32分析显示,平均有效等位基因数,香农指数,观察到的杂合性,预期杂合性,平均杂合度,多态性信息含量,首都医科大学(CMU)沙鼠的其他种群遗传参数最高,其次是浙江沙鼠和大连沙鼠。通过科学的筛选和优化,我们成功地创作了一部小说,健壮,首次利用SNP标记对蒙古沙鼠进行了经济有效的遗传检测系统。