利用微卫星标记估计亚洲22个鸡品种的遗传多样性和群体结构。

IF 2.2 2区 农林科学
Asian-Australasian Journal of Animal Sciences Pub Date : 2020-12-01 Epub Date: 2020-04-13 DOI:10.5713/ajas.19.0958
Hee-Jong Roh, Seung-Chang Kim, Chang-Yeon Cho, Jinwook Lee, Dayeon Jeon, Dong-Kyo Kim, Kwan-Woo Kim, Fahmida Afrin, Yeoung-Gyu Ko, Jun-Heon Lee, Solongo Batsaikhan, Triana Susanti, Sergey Hegay, Siton Kongvongxay, Neena Amatya Gorkhali, Lan Anh Nguyen Thi, Trinh Thi Thu Thao, Lakmalie Manikku
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引用次数: 7

摘要

目的:评估鸡品种内部和品种间的遗传多样性和遗传结构,对鉴定和保护宝贵的遗传资源至关重要。在鸡中,微卫星(MS)标记多态性先前已被广泛用于评估这些差异。我们的目标是基于等位基因频率分析亚洲22个鸡品种的遗传多样性和关系。方法:选取来自亚洲8个国家(韩国、KNG、KNB、KNR、KNW、KNY、KNO;老挝,LYO, LCH, LBB, LOU;印度尼西亚、INK、INS、ING;越南,VTN, VNH;蒙古、内侧膝状核;吉尔吉斯斯坦、KGPS;尼泊尔,NPS;斯里兰卡,SBC)和三个进口品种(RIR,罗德岛红;White Leghorn WLG;案子,康沃尔郡的)。利用20个MS标记分析了它们的遗传多样性和系统发育关系。结果:20个MS标记共检测到193个等位基因,等位基因数量从3个(MCW0103)到20个(LEI0192)不等,平均9.7个。NPS品种的期望杂合度最高(Hexp, 0.718±0.027),多态性信息含量最高(PIC, 0.663±0.030)。杂合度(Hobs)以LCH最高(0.690±0.039),而WLG最低(0.372±0.055),Hobs(0.384±0.019),PIC(0.325±0.049)。Nei的DA遗传距离VTN与VNH最近(0.086),KNG与MGN最远(0.503)。主坐标分析结果与系统发育分析结果相似,三个轴解释了56.2%的方差(轴1,19.17%;2, 18.92%;3, 18.11%)。结构分析结果表明,22个鸡品种应划分为20个簇,以ΔK值最高(46.92)为基础。结论:本研究为亚洲22个鸡品种的遗传变异研究和保护策略的制定提供了基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Estimating genetic diversity and population structure of 22 chicken breeds in Asia using microsatellite markers.

Estimating genetic diversity and population structure of 22 chicken breeds in Asia using microsatellite markers.

Estimating genetic diversity and population structure of 22 chicken breeds in Asia using microsatellite markers.

Estimating genetic diversity and population structure of 22 chicken breeds in Asia using microsatellite markers.

Objective: Estimating the genetic diversity and structures, both within and among chicken breeds, is critical for the identification and conservation of valuable genetic resources. In chickens, microsatellite (MS) marker polymorphisms have previously been widely used to evaluate these distinctions. Our objective was to analyze the genetic diversity and relationships among 22 chicken breeds in Asia based on allelic frequencies.

Methods: We used 469 genomic DNA samples from 22 chicken breeds from eight Asian countries (South Korea, KNG, KNB, KNR, KNW, KNY, KNO; Laos, LYO, LCH, LBB, LOU; Indonesia, INK, INS, ING; Vietnam, VTN, VNH; Mongolia, MGN; Kyrgyzstan, KGPS; Nepal, NPS; Sri Lanka, SBC) and three imported breeds (RIR, Rhode Island Red; WLG, White Leghorn; CON, Cornish). Their genetic diversity and phylogenetic relationships were analyzed using 20 MS markers.

Results: In total, 193 alleles were observed across all 20 MS markers, and the number of alleles ranged from 3 (MCW0103) to 20 (LEI0192) with a mean of 9.7 overall. The NPS breed had the highest expected heterozygosity (Hexp, 0.718±0.027) and polymorphism information content (PIC, 0.663±0.030). Additionally, the observed heterozygosity (Hobs) was highest in LCH (0.690±0.039), whereas WLG showed the lowest Hexp (0.372±0.055), Hobs (0.384±0.019), and PIC (0.325±0.049). Nei's DA genetic distance was the closest between VTN and VNH (0.086), and farthest between KNG and MGN (0.503). Principal coordinate analysis showed similar results to the phylogenetic analysis, and three axes explained 56.2% of the variance (axis 1, 19.17%; 2, 18.92%; 3, 18.11%). STRUCTURE analysis revealed that the 22 chicken breeds should be divided into 20 clusters, based on the highest ΔK value (46.92).

Conclusion: This study provides a basis for future genetic variation studies and the development of conservation strategies for 22 chicken breeds in Asia.

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来源期刊
Asian-Australasian Journal of Animal Sciences
Asian-Australasian Journal of Animal Sciences AGRICULTURE, DAIRY & ANIMAL SCIENCE-
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审稿时长
3 months
期刊介绍: Asian-Australasian Journal of Animal Sciences (AJAS) aims to publish original and cutting-edge research results and reviews on animal-related aspects of the life sciences. Emphasis will be placed on studies involving farm animals such as cattle, buffaloes, sheep, goats, pigs, horses, and poultry. Studies for the improvement of human health using animal models may also be publishable. AJAS will encompass all areas of animal production and fundamental aspects of animal sciences: breeding and genetics, reproduction and physiology, nutrition, meat and milk science, biotechnology, behavior, welfare, health, and livestock farming systems.
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