Yousefi Zohre, Moradi Mohammad Hossein, Beige-Nasiri Mohammad Taghi, Shirali Masoud, Abdollahi-Arpanahi Rostam
Department of Animal Science, Agricultural Science and Natural Resources University of Khuzestan, Ahvaz, Iran.
Department of Animal Science, Faculty of Agricultural and Natural Resources, Arak University, Arak, Iran.
PLoS One. 2025 Jun 11;20(6):e0323328. doi: 10.1371/journal.pone.0323328. eCollection 2025.
Genome-wide scan for run of homozygosity (ROH) stretches, effective population size (Ne) and selection signatures can help to elucidate mechanisms of selection and pinpoint genomic regions linked with phenotypic traits. This study aimed to identify the genomic patterns of ROH, Ne and selection signatures in two Iranian main sheep breeds including Afshari and Qezel (known as meat and dairy sheep, respectively) using 49,017 single nucleotide polymorphisms (SNPs) generated using the ovine 50K SNP BeadChips. Analysis of ROH in Iranian sheep breeds revealed the differences in the pattern of ROH length and burden in these breeds. Inbreeding estimated based on ROH stretches showed very low amount of inbreeding in these indigenous sheep breeds. The Qezel breed displayed a higher Ne than Afshari breed. Furthermore, the potential selection was detected in genomic regions using three complementary approaches including FST (fixation index), XP-EHH (cross-population extended haplotype homozygosity), and hapFLK (haplotype differentiation). Our results identified the genomic regions that were enriched with the genes associated with immune response (e.g., IL23A, STAT2 and DOCK5), milk traits (e.g., PCCA, ACAP3, TTK and BTG3), energy metabolisms (e.g., GLS2), reproduction (e.g., ANGPT2), fecundity (e.g., BMP5), nervous system (e.g., DLG2, PCDH9, and FRMPD4), growth traits and muscle formation (NPY, MYF5 and PPP1R12A), and sweat gland development (SCNN1D). Some regions were also detected for the first time and overlapped with no genes suggesting novel loci associated with traits that differentiate these breeds. Overall, the finding of this study may shed light on the genomic regions linked to economically important traits in sheep as well as for developing the conservation and selection breeding programs.
全基因组纯合片段(ROH)延伸、有效种群大小(Ne)和选择信号扫描有助于阐明选择机制,并确定与表型性状相关的基因组区域。本研究旨在利用绵羊50K SNP芯片产生的49,017个单核苷酸多态性(SNP),鉴定两个伊朗主要绵羊品种(分别为肉用的阿夫沙里羊和乳用的盖泽尔羊)中ROH、Ne和选择信号的基因组模式。对伊朗绵羊品种的ROH分析揭示了这些品种在ROH长度和负担模式上的差异。基于ROH延伸估计的近亲繁殖显示,这些本土绵羊品种的近亲繁殖程度非常低。盖泽尔品种的Ne高于阿夫沙里品种。此外,使用三种互补方法(包括FST(固定指数)、XP-EHH(跨群体扩展单倍型纯合性)和hapFLK(单倍型分化))在基因组区域检测到了潜在选择。我们的结果确定了富含与免疫反应(如IL23A、STAT2和DOCK5)、产奶性状(如PCCA、ACAP3、TTK和BTG3)、能量代谢(如GLS2)、繁殖(如ANGPT2)、繁殖力(如BMP5)、神经系统(如DLG2、PCDH9和FRMPD4)、生长性状和肌肉形成(NPY、MYF5和PPP1R12A)以及汗腺发育(SCNN1D)相关基因的基因组区域。还首次检测到一些与任何基因都不重叠的区域,表明存在与区分这些品种的性状相关的新位点。总体而言,本研究结果可能有助于揭示与绵羊经济重要性状相关的基因组区域,以及制定保护和选择育种计划。