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利用微卫星标记对普通荞麦和苦荞麦基因型的遗传变异性进行表征

Characterization of Genetic Variability of Common and Tartary Buckwheat Genotypes Using Microsatellite Markers.

作者信息

Balážová Želmíra, Čišecká Lucia, Gálová Zdenka, Hromadová Zuzana, Chňapek Milan, Pipan Barbara, Meglič Vladimir

机构信息

Institute of Biotechnology, Faculty of Biotechnology and Food Sciences, Slovak University of Agriculture in Nitra, Tr. A. Hlinku 2, 949 76 Nitra, Slovakia.

Crop Science Department, Agricultural Institute of Slovenia, Hacquetocva Ulica 17, SI-1000 Ljubljana, Slovenia.

出版信息

Plants (Basel). 2024 Aug 2;13(15):2147. doi: 10.3390/plants13152147.

Abstract

Buckwheat is a highly nutritional pseudocereal with antioxidant potential. The aim of this study was to analyze the genetic variability of 21 varieties of common buckwheat ( Moench.) and 14 varieties of Tartary buckwheat ( Gaertn.) using microsatellite markers. By analyzing 21 SSR markers, an average of 11.6 alleles per locus were amplified and an average PIC value of 0.711 was determined. We determined the heterozygous status of the individuals and variability in the set using the SSR analysis on the basis of expected heterozygosity (He, 0.477), observed heterozygosity (Ho, 0.675), Shannon's index (I, 0.820), and fixation indices (FST, FIS, FIT). Based on the SSR analyses, the lower level of expected heterozygosity in the analyzed set of Tartary buckwheat genotypes was observed compared to common buckwheat. With the help of a hierarchical cluster analysis using the UPGMA algorithm, Structure analysis, and PCoA analysis for the SSR markers, we divided the buckwheat varieties in the dendrogram into two main clusters according to the species. The AMOVA analysis showed that genetic variability between the individuals prevails in the analyzed set. The SSR technique proved to be a suitable tool for the determination of intra- and inter-varietal genetic variability and for analysis of diversity.

摘要

荞麦是一种具有抗氧化潜力的高营养假谷物。本研究的目的是利用微卫星标记分析21个普通荞麦品种(Moench.)和14个苦荞麦品种(Gaertn.)的遗传变异性。通过分析21个SSR标记,每个位点平均扩增出11.6个等位基因,平均PIC值为0.711。我们基于预期杂合度(He,0.477)、观察杂合度(Ho,0.675)、香农指数(I,0.820)和固定指数(FST、FIS、FIT),通过SSR分析确定了个体的杂合状态和群体中的变异性。基于SSR分析,与普通荞麦相比,在所分析的苦荞基因型群体中观察到较低水平的预期杂合度。借助使用UPGMA算法的层次聚类分析、结构分析和SSR标记的主坐标分析(PCoA),我们在树状图中将荞麦品种根据物种分为两个主要聚类。方差分析(AMOVA)表明,在所分析的群体中个体间的遗传变异性占主导。SSR技术被证明是确定品种内和品种间遗传变异性以及分析多样性的合适工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2bf3/11313801/ab3d287b8909/plants-13-02147-g001.jpg

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