Simple sequence repeat markers revealed genetic divergence and population structure of okra [Abelmoschus esculentus] collections of diverse geographic origin

W. Mohammed, Beyene A. Amelework, H. Shimelis
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引用次数: 1

Abstract

The study was carried out to assess the genetic diversity and population structure of okra collections from diverse geographic origin using selected polymorphic simple sequence repeat (SSR) markers. Thirty-two okra accessions collected from three geographic regions were genotyped using 16 selected SSR markers. The SSR markers generated a total of 71 loci of which 67% were polymorphic. Genetic distances among accessions ranged from 2.2 to 7.1, with a mean of 4.65. Gene diversity ranged from 0.10 to 0.78 with a mean of 0.52. Genetic clustering classified the accessions into three major clusters and four sub-clusters. Each cluster and sub-cluster consisted of accessions derived from different sources. Analysis of molecular variance revealed that 67%, 81% and 83% of the total genetic variation detected was found within populations of geographic origin, altitude and collection district, respectively. The observed moderate to high population differentiation could partly be attributed to limited germplasm exchange, agro-ecological differences, and partly by selection pressure. The present study revealed the presence of high genetic diversity and population divergence among okra collections from Ethiopia. The study demonstrated that a collection strategy for conservation of okra genetic resources should focus on sampling of representative genotypes covering wide geographic regions and altitudinal ranges of target agro-ecologies.
简单序列重复标记揭示了不同地理来源秋葵(Abelmoschus esculentus)的遗传分化和群体结构
利用SSR标记对不同产地秋葵的遗传多样性和群体结构进行了分析。利用16个SSR标记对来自3个地理区域的32份秋葵材料进行基因分型。SSR标记共生成71个位点,其中67%为多态性位点。遗传距离在2.2 ~ 7.1之间,平均为4.65。基因多样性范围为0.10 ~ 0.78,平均值为0.52。遗传聚类将材料分为3大聚类和4个子聚类。每个簇和子簇由来自不同来源的条目组成。分子变异分析表明,总遗传变异的67%、81%和83%分别存在于地理来源群体、海拔高度群体和采集区群体内。种群分化程度中至高的部分原因是有限的种质交换和农业生态差异,部分原因是选择压力。本研究揭示了埃塞俄比亚秋葵种质资源存在较高的遗传多样性和种群差异。研究表明,秋葵遗传资源保护的收集策略应侧重于在目标农业生态的广泛地理区域和高度范围内取样具有代表性的基因型。
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