School of Basic Medical Sciences, Capital Medical University, Beijing 100069, China.
Laboratory for Clinical Medicine, Capital Medical University, Beijing 100069, China.
Genes (Basel). 2024 Jun 20;15(6):817. doi: 10.3390/genes15060817.
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.
蒙古沙鼠是中国特有的实验动物,其遗传品质在医学生物学研究领域具有重要价值。在这里,我们旨在使用单核苷酸多态性 (SNP) 标记建立蒙古沙鼠遗传质量检测的经济高效面板。为了寻找 SNP,我们对来自远交种群的 40 只蒙古沙鼠进行了全基因组测序 (WGS)。建立了可靠的筛选标准,初步选择了具有广泛基因组分布和高水平多态性的 SNP。随后,基于第二代测序开发了一种基于多靶区域捕获检测的 SNP 基因分型系统。基于 WGS 的结果,初步选择了 219 个 SNP,并通过对三个远交种群的基因分型,在包括 206 个 SNP 位点的多重扩增系统中建立和优化了这些 SNP。PopGen.32 分析表明,首都医科大学(CMU)沙鼠的平均有效等位基因数、香农指数、观察杂合度、期望杂合度、平均杂合度、多态信息含量等群体遗传参数最高,其次是浙江沙鼠和大连沙鼠。通过科学筛选和优化,我们首次利用 SNP 标记成功建立了一种新型、稳健、经济高效的蒙古沙鼠遗传检测系统。