Department of Animal Science and Aquaculture, Dalhousie University, Truro, NS, Canada.
Department of Pathobiology, University of Guelph, Guelph, ON, Canada.
BMC Genomics. 2022 Sep 13;23(1):649. doi: 10.1186/s12864-022-08874-1.
Copy number variations (CNVs) represent a major source of genetic diversity and contribute to the phenotypic variation of economically important traits in livestock species. In this study, we report the first genome-wide CNV analysis of American mink using whole-genome sequence data from 100 individuals. The analyses were performed by three complementary software programs including CNVpytor, DELLY and Manta.
A total of 164,733 CNVs (144,517 deletions and 20,216 duplications) were identified representing 5378 CNV regions (CNVR) after merging overlapping CNVs, covering 47.3 Mb (1.9%) of the mink autosomal genome. Gene Ontology and KEGG pathway enrichment analyses of 1391 genes that overlapped CNVR revealed potential role of CNVs in a wide range of biological, molecular and cellular functions, e.g., pathways related to growth (regulation of actin cytoskeleton, and cAMP signaling pathways), behavior (axon guidance, circadian entrainment, and glutamatergic synapse), lipid metabolism (phospholipid binding, sphingolipid metabolism and regulation of lipolysis in adipocytes), and immune response (Wnt signaling, Fc receptor signaling, and GTPase regulator activity pathways). Furthermore, several CNVR-harbored genes associated with fur characteristics and development (MYO5A, RAB27B, FGF12, SLC7A11, EXOC2), and immune system processes (SWAP70, FYN, ORAI1, TRPM2, and FOXO3).
This study presents the first genome-wide CNV map of American mink. We identified 5378 CNVR in the mink genome and investigated genes that overlapped with CNVR. The results suggest potential links with mink behaviour as well as their possible impact on fur quality and immune response. Overall, the results provide new resources for mink genome analysis, serving as a guideline for future investigations in which genomic structural variations are present.
拷贝数变异 (CNV) 是遗传多样性的主要来源之一,对家畜经济重要性状的表型变异有贡献。在这项研究中,我们报告了使用 100 个个体的全基因组序列数据对水貂进行的首次全基因组 CNV 分析。通过包括 CNVpytor、DELLY 和 Manta 在内的三个互补软件程序进行了分析。
合并重叠的 CNV 后,共鉴定出 164733 个 CNV(144517 个缺失和 20216 个重复),代表了水貂常染色体基因组 47.3Mb(1.9%)的 5378 个 CNV 区域(CNVR)。1391 个与 CNVR 重叠的基因的基因本体论和 KEGG 途径富集分析表明,CNVs 可能在广泛的生物学、分子和细胞功能中发挥作用,例如与生长相关的途径(肌动蛋白细胞骨架的调节和 cAMP 信号通路)、行为(轴突导向、昼夜节律和谷氨酸能突触)、脂质代谢(磷脂结合、鞘脂代谢和脂肪细胞中脂肪分解的调节)和免疫反应(Wnt 信号、Fc 受体信号和 GTPase 调节活性途径)。此外,一些与皮毛特征和发育相关的 CNVR 上的基因(MYO5A、RAB27B、FGF12、SLC7A11、EXOC2)和免疫系统过程(SWAP70、FYN、ORAI1、TRPM2 和 FOXO3)。
本研究首次绘制了水貂的全基因组 CNV 图谱。我们在水貂基因组中鉴定了 5378 个 CNVR,并研究了与 CNVR 重叠的基因。结果表明,这与水貂的行为有潜在联系,并可能对皮毛质量和免疫反应产生影响。总的来说,这些结果为水貂基因组分析提供了新的资源,为未来研究基因组结构变异提供了指导。