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Presize: an approach for precise estimation of core collection size using the Similarity Elimination (SimEli) method

机译:预大小:一种使用相似性消除(SimEli)方法精确估算核心馆藏大小的方法

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摘要

Core collections are the integral part of biotechnology-aided modern-day crop improvement programmes and utilized for a variety of applications including conventional plant breeding, association mapping, resequencing, among others. Since their advent, determination of core collection size has been based on the size of the whole collection. In this study, we precisely estimated the size of the core collection based on the diversity of the whole collection using the Similarity Elimination method. For each of the elimination cycle, allele retention and pairwise and mean genetic distances were calculated and used as the criteria for the precise estimation of the core collection size. We sampled a coconut core collection with 266 entries by retaining the diversity of the whole collection. During the elimination process, accessions with very rare alleles were eliminated first when compared with those having rare and common alleles. Therefore, our results support the hypothesis that the less frequent alleles seldom contribute to the genetic distance when compared with common alleles. In conclusion, presize can be efficiently utilized in any crop for the precise estimation of core collection size.
机译:核心收藏是生物技术辅助的现代作物改良计划不可或缺的一部分,可用于多种应用,包括常规植物育种,关联映射,重测序等。自从问世以来,核心收藏规模的确定一直是基于整个收藏的规模。在这项研究中,我们使用相似度消除法根据整个馆藏的多样性精确估算了核心馆藏的大小。对于每个消除循环,均计算了等位基因保留以及成对和平均遗传距离,并将其用作精确估计核心收集量的标准。通过保留整个集合的多样性,我们对266个条目的椰子核心集合进行了采样。在消除过程中,与具有罕见和常见等位基因的那些相比,具有非常稀有等位基因的种首先被消除。因此,我们的研究结果支持以下假设:与普通等位基因相比,频率较低的等位基因很少有助于遗传距离。总而言之,可以在任何作物中有效利用预选尺寸,以精确估算核心资源的收集规模。

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