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构建适用于关联作图的核心种质库,以优化地中海橄榄(Olea europaea L.)遗传资源的利用。

Construction of core collections suitable for association mapping to optimize use of Mediterranean olive (Olea europaea L.) genetic resources.

机构信息

INRA, UMR Amélioration Génétique et Adaptation des Plantes (AGAP), Montpellier, France.

出版信息

PLoS One. 2013 May 7;8(5):e61265. doi: 10.1371/journal.pone.0061265. Print 2013.

Abstract

Phenotypic characterisation of germplasm collections is a decisive step towards association mapping analyses, but it is particularly expensive and tedious for woody perennial plant species. Characterisation could be more efficient if focused on a reasonably sized subset of accessions, or so-called core collection (CC), reflecting the geographic origin and variability of the germplasm. The questions that arise concern the sample size to use and genetic parameters that should be optimized in a core collection to make it suitable for association mapping. Here we investigated these questions in olive (Olea europaea L.), a perennial fruit species. By testing different sampling methods and sizes in a worldwide olive germplasm bank (OWGB Marrakech, Morocco) containing 502 unique genotypes characterized by nuclear and plastid loci, a two-step sampling method was proposed. The Shannon-Weaver diversity index was found to be the best criterion to be maximized in the first step using the Core Hunter program. A primary core collection of 50 entries (CC50) was defined that captured more than 80% of the diversity. This latter was subsequently used as a kernel with the Mstrat program to capture the remaining diversity. 200 core collections of 94 entries (CC94) were thus built for flexibility in the choice of varieties to be studied. Most entries of both core collections (CC50 and CC94) were revealed to be unrelated due to the low kinship coefficient, whereas a genetic structure spanning the eastern and western/central Mediterranean regions was noted. Linkage disequilibrium was observed in CC94 which was mainly explained by a genetic structure effect as noted for OWGB Marrakech. Since they reflect the geographic origin and diversity of olive germplasm and are of reasonable size, both core collections will be of major interest to develop long-term association studies and thus enhance genomic selection in olive species.

摘要

种质资源表型特征分析是进行关联作图分析的关键步骤,但对于木本多年生植物来说,这一过程尤其昂贵和繁琐。如果将重点放在一个大小合理的种质资源亚群(即核心种质库)上,或者说关注其地理起源和变异性,那么特征分析可以更有效率。在此,我们以橄榄(Olea europaea L.)这种多年生水果作物为例,研究了这些问题。通过在一个包含 502 个独特基因型的全球橄榄种质资源库(摩洛哥马拉喀什的 OWGB)中,测试不同的采样方法和大小,提出了一种两步采样方法。结果发现,利用 Core Hunter 程序,Shannon-Weaver 多样性指数是在第一步中最大化的最佳标准。定义了一个包含 50 个个体的初级核心种质库(CC50),该核心种质库可以捕获超过 80%的多样性。随后,该核心种质库被用作 Mstrat 程序的核心,以捕获剩余的多样性。由此构建了 200 个包含 94 个个体的核心种质库(CC94),以方便选择要研究的品种。由于亲缘系数较低,两个核心种质库(CC50 和 CC94)的大多数个体都被证明是不相关的,而在东部和西部/中部地中海地区则存在着遗传结构。在 CC94 中观察到连锁不平衡,这主要是由于遗传结构效应引起的,这与 OWGB Marrakech 的情况相同。由于这两个核心种质库反映了橄榄种质资源的地理起源和多样性,且规模合理,因此对于开发长期关联研究和提高橄榄物种的基因组选择具有重要意义。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4493/3646834/7b08e9ec876d/pone.0061265.g001.jpg

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