基于表型和SSR分子标记构建芝麻核心种质

doi:10.3864/j.issn.0578-1752.2017.13.003

Abstract

Abstract: 【Objective】The objective of this study was to manage, research and utilization of sesame (Sesamum indicum L.) germplasm resources more effectively, and to provide excellent genetic resources for sesame breeding.【Method】In this study, 5 020 accessions of sesame germplasm resources were systematically identified. Firstly, the primary core collections were constructed by using proportion strategy and UPGMA clustering sampling method within subgroups according to geographical origins. Then using an allele preferred sampling strategy and stepwise UPGMA clustering sampling approach according to SSR molecular data, these accessions were further screened to form core collections. The Nei’s gene diversity (He) and the Shannon-Wiener index (I) of the core collection and the primary one were measured by t-test. The cluster sampling was terminated until the genetic diversity of the core collection begun to have a significant difference with the primary one. Then the core collections without a significant difference with the primary core collection were chosen as the best core collections. The representativeness of the core collections was assessed by the Nei’s diversity index, Shannon-Wiener diversity index, percentage of polymorphic bands, polymorphic band retention, variable rate of coefficient of variation, coincidence rate of range, variance difference percentage and mean difference percentage.【Result】The primary core collections containing 816 accessions and core collections with 501 accessions were constructed, accounting for 16.25% and 9.98% of the total germplasm resources, respectively. The core collections consist of 442 Chinese landraces and 59 foreign germplasm resources. The core collection with 0.2989 in Nei’s diversity index and 0.4243 in Shannon-Wiener diversity index, and did not have a significant difference in molecular diversity with primary core collections (He=0.2791, I=0.4302) at P＜0.05. The percentage of polymorphic loci and reserved rate of number of polymorphic loci, variable rate of coefficient of variation and coincidence rate of range were 91.25%, 95.23%, 99.14%, 86.85%, respectively. Variance difference percentage and phenotypic indexes of mean difference percentage was 0. Results of t-test showed that no significant difference was found in genetic diversity indexes between the core collections and original collections. Compared with the random sampling strategy, allele preferred sampling strategy could construct more representative core collections with higher values of genetic diversity indexes and fewer loss of allele. The Shannon-Wiener index performed higher identifying efficiency than Nei’s diversity index. 【Conclusion】The primary core collections were constructed by using proportion strategy and clustering sampling method within subgroups according to geographical origin, and then using an allele preferred sampling strategy and stepwise UPGMA clustering sampling approach according to SSR molecular data to form core collections, which is a suitable method for constructing sesame core collections. The core collections of sesame are well representative of the original collections in the phenotypic and molecular genetic diversity.

Key words: sesame, germplasm resources, core collection, representative test

LIU YanYang, MEI HongXian, DU ZhenWei, WU Ke, ZHENG YongZhan, CUI XiangHua, ZHENG Lei. Construction of Core Collection of Sesame Based on Phenotype and Molecular Markers[J].Scientia Agricultura Sinica, 2017, 50(13): 2433-2441.

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Construction of Core Collection of Sesame Based on Phenotype and Molecular Markers

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