陇南山羊种群结构、同源性分析和单核苷酸多态性指纹数据库的构建

IF 4 2区 农林科学 Q2 FOOD SCIENCE & TECHNOLOGY
Keyan Ma, Dengpan Li, Xingcai Qi, Qiao Li, Yi Wu, Juanjuan Song, Yue Zhang, Hai Yang, Taotao Li, Youji Ma
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引用次数: 0

摘要

陇南山羊(LN)是第三次中国畜禽遗传资源普查中发现的地方品种。为了深入了解种群特征,本研究对LN山羊、南江褐山羊(NJ)和波尔山羊(Boer) 3个不同山羊种群共70只动物进行了研究。特异位点扩增片段测序用于分析遗传多样性、群体结构和选择性扫描模式。此外,还生成了个体DNA指纹,以提供每个受试者的详细基因图谱。共检测到643,868个单核苷酸多态性(snp),其中大部分位于基因间区和内含子区。遗传多样性分析表明,与其他两个群体相比,LN群体的多样性较低。群体结构分析表明,LN与NJ、Boer群体遗传距离显著,聚类模式明显。LN与Boer、LN与NJ的遗传分化系数(FST)分别为0.1019和0.0854,表明LN与NJ之间存在较大的遗传分化。选择性扫描分析,结合FST和π比,确定了几个与生长发育、繁殖、毛发颜色和免疫相关的基因,可能作为标记辅助育种的有价值的候选基因。此外,47,541对纯合性(ROHs)的鉴定显示染色体间的分布不均匀,1号染色体上的频率最高,27号染色体上的频率最低。不同近交系数之间的相关性存在差异,FHOM和FGRM之间的相关性最高,FROH >1.5Mb和FROH <500kb之间的相关性最低。在高频ROH岛中总共注释了46个候选基因,主要与生殖、生长发育和免疫等生物过程相关。最后,生成了一个由371个高度多态性snp组成的DNA指纹,并以二维代码的形式呈现,以方便访问。通过种群结构分析,发现LN山羊与Boer和NJ种群的遗传距离较远,分化程度较高。遗传多样性参数评价和ROH分析表明,LN群体遗传多样性较低,有近交的迹象。我们的研究结果为该种群的遗传资源鉴定提供了理论支持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Population structure, runs of homozygosity analysis and construction of single nucleotide polymorphism fingerprinting database of Longnan goat population

Population structure, runs of homozygosity analysis and construction of single nucleotide polymorphism fingerprinting database of Longnan goat population

The Longnan goat (LN) is a local breed discovered during the third census of China's livestock and poultry genetic resources. In order to thoroughly comprehend the population traits, this research examined a total of 70 animals from three different goat populations, namely the LN goat, Nanjiang Brown goat (NJ), and Boer goat (Boer). Specific-Locus Amplified Fragment Sequencing was employed to analyze genetic diversity, population structure, and selective sweep patterns. Additionally, individual DNA fingerprints were generated to provide detailed genetic profiles for each subject. A total of 643,868 single nucleotide polymorphisms (SNPs) were detected, with a majority located in intergenic and intronic regions. Genetic diversity analysis uncovered lower diversity within the LN population compared to the other two populations. The analysis of population structure unveiled significant genetic distance between LN and both NJ and Boer populations, with distinct clustering patterns observed. Moreover, genetic differentiation coefficients (FST) of 0.1019 and 0.0854 were determined between LN and Boer, as well as LN and NJ, respectively, indicating substantial genetic differentiation. Selective sweep analysis, combining FST and π ratio, identified several genes associated with growth and development, reproduction, hair color, and immunity that may serve as valuable candidates for marker-assisted breeding. Furthermore, identification of 47,541 runs of homozygosity (ROHs) revealed non-uniform distribution across chromosomes, with the highest frequency on chromosome 1 and the lowest on chromosome 27. Correlations between different inbreeding coefficients varied, with the highest observed between FHOM and FGRM, and the lowest between FROH >1.5Mb and FROH <500kb. A total of 46 candidate genes were annotated within high-frequency ROH islands, primarily associated with biological processes such as reproduction, growth and development, and immunity. Finally, a DNA fingerprint, consisting of 371 highly polymorphic SNPs, was generated and presented in the form of a two-dimensional code for convenient access. Based on the population structure analysis, LN goats have been found to have a distant genetic distance and a higher degree of differentiation from both the Boer and NJ populations. Evaluation of genetic diversity parameters and ROH analysis indicates that the LN population exhibits lower genetic diversity and shows signs of inbreeding. Our findings offer theoretical support for the identification of genetic resources within this population.

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来源期刊
Food and Energy Security
Food and Energy Security Energy-Renewable Energy, Sustainability and the Environment
CiteScore
9.30
自引率
4.00%
发文量
76
审稿时长
19 weeks
期刊介绍: Food and Energy Security seeks to publish high quality and high impact original research on agricultural crop and forest productivity to improve food and energy security. It actively seeks submissions from emerging countries with expanding agricultural research communities. Papers from China, other parts of Asia, India and South America are particularly welcome. The Editorial Board, headed by Editor-in-Chief Professor Martin Parry, is determined to make FES the leading publication in its sector and will be aiming for a top-ranking impact factor. Primary research articles should report hypothesis driven investigations that provide new insights into mechanisms and processes that determine productivity and properties for exploitation. Review articles are welcome but they must be critical in approach and provide particularly novel and far reaching insights. Food and Energy Security offers authors a forum for the discussion of the most important advances in this field and promotes an integrative approach of scientific disciplines. Papers must contribute substantially to the advancement of knowledge. Examples of areas covered in Food and Energy Security include: • Agronomy • Biotechnological Approaches • Breeding & Genetics • Climate Change • Quality and Composition • Food Crops and Bioenergy Feedstocks • Developmental, Physiology and Biochemistry • Functional Genomics • Molecular Biology • Pest and Disease Management • Post Harvest Biology • Soil Science • Systems Biology
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