Molecular Genetic Diversity of Manioc (Manihot esculenta Crantz) Using Simple Sequence Repeated Markers (SSR) in the Kara Region of Togo

Kossikouma Djodji Adjata, Simon Justin Pita, Aokpe Komi Amétépé Paul, Yawovi Godwin Agbetoho, Kodjovi Atassé Dansou-Kodjo, Assion Sétu Mivedor, Senya Sakina Allado
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Abstract

Cassava (Manihot esculenta Crantz), a plant of the future, is one of the main crops with high genetic potential. Therefore, the knowledge of its genetic variability would be of great importance for its effective use in genetic improvement programs. The objective of this work was to characterize the genetic diversity of cassava cultivars present in the Kara region of Togo. Thus, a total of 91 cassava leaf samples collected in the 7 prefectures of the Kara region were analyzed using 7 pairs of SSR microsatellite primers. Fifty-three alleles were detected with an average of 7.57 alleles per locus. The polymorphic information content ranged from 0.63 to 0.83 with an average of 0.74, indicating a high level of marker polymorphism. Molecular analysis of variance revealed that the majority of variability occurred within individuals and accounted for 99 % of the total variation between individuals. Weak genetic differentiation (Fst=0.011) was also observed between populations. The genetic structuring model based on the Neighbour-Joining algorithm method divided the individuals into 6 groups independently of local names. These results indicate the presence of high genetic resource variability in the studied populations. Therefore, it would be important to implement management strategies to better conserve cassava genetic resources and to facilitate the identification of successful cultivars.
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利用简单序列重复标记(SSR)研究多哥卡拉地区木薯(Manihot esculenta Crantz)的分子遗传多样性
木薯(Manihot esculenta Crantz)作为一种未来植物,是具有高遗传潜力的主要作物之一。因此,了解其遗传变异性对于在遗传改良计划中有效利用它具有重要意义。这项工作的目的是描述多哥卡拉地区木薯栽培品种的遗传多样性特征。因此,我们使用 7 对 SSR 微卫星引物分析了在卡拉地区 7 个县采集的 91 份木薯叶片样本。共检测到 53 个等位基因,平均每个位点有 7.57 个等位基因。多态信息含量从 0.63 到 0.83 不等,平均为 0.74,表明标记多态性水平较高。分子变异分析表明,大多数变异发生在个体内部,占个体间总变异的 99%。种群之间也出现了较弱的遗传分化(Fst=0.011)。基于 "邻接算法 "方法的遗传结构模型将个体分为 6 组,与当地名称无关。这些结果表明,所研究的种群存在较高的遗传资源变异性。因此,必须实施管理策略,更好地保护木薯遗传资源,促进成功栽培品种的鉴定。
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