Sharma Nitesh Kumar, Singh Prashant, Saha Bibek, Bhardwaj Anuradha, Iquebal Mir Asif, Pal Yash, Nayan Varij, Jaiswal Sarika, Giri Shiv Kumar, Legha Ram Avatar, Bhattacharya T K, Kumar Dinesh, Rai Anil
Division of Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, New Delhi, India.
The Graduate School, ICAR-Indian Agricultural Research Institute, New Delhi, India.
Anim Biotechnol. 2025 Dec;36(1):2446251. doi: 10.1080/10495398.2024.2446251. Epub 2025 Jan 10.
Copy number variations (CNVs) have become widely acknowledged as a significant source of genomic variability and phenotypic variance. To understand the genetic variants in horses, CNVs from six Indian horse breeds, Manipuri, Zanskari, Bhutia, Spiti, Kathiawari and Marwari were discovered using Axiom Equine Genotyping Array. These breeds differed in agro-climatic adaptation with distinct phenotypic characters. A total of 2668 autosomal CNVs and 381 CNV regions (CNVRs) were identified with PennCNV tool. DeepCNV was employed to re-validate to get 883 autosomal CNVs, of which 9.06% were singleton type. A total of 180 CNVRs were identified after DeepCNV filtering with the estimated length of 3.12 Kb-4.90 Mb. The functional analysis showed the majority of the CNVRs genes enriched for sensory perception and olfactory receptor activity. An Equine CNVs database, EqCNVdb (http://backlin.cabgrid.res.in/eqcnvdb/) was developed which catalogues detailed information on the horse CNVs, CNVRs and gene content within CNVRs. Also, three random CNVRs were validated with real-time polymerase chain reaction. These findings will aid in the understanding the horse genome and serve as a preliminary foundation for future CNV association research with commercially significant equine traits. The identification of CNVs and CNVRs would lead to better insights into genetic basis of important traits.
拷贝数变异(CNV)已被广泛认为是基因组变异性和表型变异的重要来源。为了解马的遗传变异,利用Axiom马基因分型阵列发现了来自六个印度马品种(曼尼普尔马、赞斯卡里马、布提亚马、斯皮提马、卡蒂阿瓦里马和马尔瓦里马)的CNV。这些品种在农业气候适应性和明显的表型特征方面存在差异。使用PennCNV工具共鉴定出2668个常染色体CNV和381个CNV区域(CNVR)。采用DeepCNV进行重新验证,得到883个常染色体CNV,其中9.06%为单例类型。经过DeepCNV筛选后,共鉴定出180个CNVR,估计长度为3.12 Kb - 4.90 Mb。功能分析表明,大多数CNVR基因在感觉感知和嗅觉受体活性方面富集。开发了一个马CNV数据库EqCNVdb(http://backlin.cabgrid.res.in/eqcnvdb/),该数据库编目了有关马CNV、CNVR以及CNVR内基因内容的详细信息。此外,还通过实时聚合酶链反应验证了三个随机的CNVR。这些发现将有助于理解马基因组,并为未来与具有商业重要性的马性状进行CNV关联研究奠定初步基础。CNV和CNVR的鉴定将有助于更好地洞察重要性状的遗传基础。