Whole genome resequencing data of the Iranian cashmere goat breed.

IF 1.7 Q2 MULTIDISCIPLINARY SCIENCES
Elham Rezvannejad, Hojjat Asadollahpour Nanaei, Zeinab Amiri Ghanatsaman
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引用次数: 0

Abstract

Objective: The Raeini Cashmere goat, native to Kerman Province, Iran, is renowned for its high-quality cashmere fiber, a luxury natural fiber valued for its softness, warmth, and lightweight properties in the textile industry. This breed, adapted to the region's arid climate through long-term natural and artificial selection, supports the local agricultural economy through cashmere, meat, and milk production. This study presents the first whole-genome resequencing dataset for the Raeini Cashmere goat, providing a valuable resource for ecological, evolutionary, and population genomic studies.

Data description: Genomic DNA was extracted from blood samples of ten individual Raeini Cashmere goats and sequenced using the Illumina NovaSeq 2500 platform. The dataset, deposited in the NCBI Sequence Read Archive (accession PRJNA1090775), enables future research into genetic adaptations for cashmere production and environmental resilience, supporting breeding programs and comparative genomics.

伊朗绒山羊品种全基因组重测序数据。
目的:Raeini绒山羊原产于伊朗克尔曼省,以其高品质的羊绒纤维而闻名,这是一种奢侈的天然纤维,在纺织工业中因其柔软、温暖和轻便的特性而受到重视。这个品种通过长期的自然和人工选择适应了该地区的干旱气候,通过羊绒、肉类和牛奶的生产支持了当地的农业经济。本研究首次建立了Raeini绒山羊全基因组重测序数据集,为生态、进化和种群基因组研究提供了宝贵的资源。数据描述:从10只Raeini绒山羊的血液样本中提取基因组DNA,并使用Illumina NovaSeq 2500平台进行测序。该数据集保存在NCBI序列读取档案(accession PRJNA1090775)中,可用于未来对羊绒生产和环境适应性的遗传适应研究,支持育种计划和比较基因组学。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
BMC Research Notes
BMC Research Notes Biochemistry, Genetics and Molecular Biology-Biochemistry, Genetics and Molecular Biology (all)
CiteScore
3.60
自引率
0.00%
发文量
363
审稿时长
15 weeks
期刊介绍: BMC Research Notes publishes scientifically valid research outputs that cannot be considered as full research or methodology articles. We support the research community across all scientific and clinical disciplines by providing an open access forum for sharing data and useful information; this includes, but is not limited to, updates to previous work, additions to established methods, short publications, null results, research proposals and data management plans.
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