利用微卫星标记分析孟加拉国地方鸡的遗传多样性和种群结构。

IF 2.2 2区 农林科学
Asian-Australasian Journal of Animal Sciences Pub Date : 2020-11-01 Epub Date: 2020-08-03 DOI:10.5713/ajas.20.0189
Muhammad Abdur Rashid, Prabuddha Manjula, Shakila Faruque, A K Fazlul Haque Bhuiyan, Dongwon Seo, Jahangir Alam, Jun Heon Lee, Mohammad Shamsul Alam Bhuiyan
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引用次数: 6

摘要

目的:利用微卫星标记对孟加拉国5个鸡群体的遗传多样性、群体结构和亲缘性进行研究。方法:选取5个鸡种群161只(无描述种鸡德狮[ND]、裸颈鸡[NN]、丘陵鸡[HI]、阿塞尔鸡[AS]和红色丛林鸡[JF])进行遗传多样性测量、种群结构、遗传距离和系统发育关系研究。利用分布在10条染色体上的16个选择的多态性微卫星标记进行基因分型。结果:研究群体的平均观察杂合度、平均等位基因数和多态信息含量分别为0.67±0.01、0.70±0.01、10.7和0.748。FIS群体和FIT群体间杂合子缺乏症的总固定指数分别为0.04±0.02、0.05和0.16。分子变异分析表明,88.07%的遗传多样性来源于群体内变异,11.93%的遗传多样性来源于群体分化。ND与AS的遗传距离最高(0.154),JF与AS的遗传距离最低(0.084)。结构分析表明,研究样本可分为四种不同的类型或品种(ΔK = 3.74),如ND, NN和HI,其中as和JF作为混合种群聚集在一起。邻居联结系统发育树和主成分判别分析也表明,AS、HI和JF三个鸡品种亲缘关系密切。结论:孟加拉国土鸡具有丰富的遗传多样性,但群体间分化较弱。这一发现为遗传多样性措施提供了一些重要的见解,可以支持孟加拉国本地鸡未来育种计划的设计和实施。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Genetic diversity and population structure of indigenous chicken of Bangladesh using microsatellite markers.

Genetic diversity and population structure of indigenous chicken of Bangladesh using microsatellite markers.

Genetic diversity and population structure of indigenous chicken of Bangladesh using microsatellite markers.

Genetic diversity and population structure of indigenous chicken of Bangladesh using microsatellite markers.

Objective: The objectives of this study were to investigate the genetic diversity, population structure and relatedness among the five chicken populations of Bangladesh using microsatellite markers.

Methods: A total of 161 individuals representing 5 chicken populations (non-descript Deshi [ND], naked neck [NN], hilly [HI], Aseel [AS], and red jungle fowl [JF]) were included in this study to investigate genetic diversity measures, population structure, genetic distance and phylogenetic relationships. Genotyping was performed using 16 selected polymorphic microsatellite markers distributed across 10 chromosomes.

Results: The average observed and expected heterozygosity, mean number of alleles and polymorphic information content were found to be 0.67±0.01, 0.70±0.01, 10.7 and 0.748, respectively in the studied populations. The estimated overall fixation index across the loci (F), heterozygote deficiency within (FIS) and among (FIT) chicken populations were 0.04±0.02, 0.05 and 0.16, respectively. Analysis of molecular variance analysis revealed 88.07% of the total genetic diversity was accounted for within population variation and the rest 11.93% was incurred with population differentiation (FST). The highest pairwise genetic distance (0.154) was found between ND and AS while the lowest distance was between JF and AS (0.084). Structure analysis depicted that the studied samples can be categorized into four distinct types or varieties (ΔK = 3.74) such as ND, NN, and HI where AS and JF clustered together as an admixed population. The Neighbor-Joining phylogenetic tree and discriminant analysis of principal component also showed close relatedness among three chicken varieties namely AS, HI, and JF.

Conclusion: The results reflected that indigenous chicken of Bangladesh still possess rich genetic diversity but weak differentiation among the studied populations. This finding provides some important insight on genetic diversity measures that could support the designing and implementing of future breeding plans for indigenous chickens of Bangladesh.

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来源期刊
Asian-Australasian Journal of Animal Sciences
Asian-Australasian Journal of Animal Sciences AGRICULTURE, DAIRY & ANIMAL SCIENCE-
自引率
0.00%
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0
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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