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结合遗传和表型分析,通过多变量分析技术检测面包小麦耐旱基因型

Combining Genetic and Phenotypic Analyses for Detecting Bread Wheat Genotypes of Drought Tolerance through Multivariate Analysis Techniques.

作者信息

Sallam Mohammed, Ghazy Abdelhalim, Al-Doss Abdullah, Al-Ashkar Ibrahim

机构信息

Department of Plant Production, College of Food and Agriculture Sciences, King Saud University, Riyadh 11451, Saudi Arabia.

出版信息

Life (Basel). 2024 Jan 25;14(2):183. doi: 10.3390/life14020183.

Abstract

Successfully promoting drought tolerance in wheat genotypes will require several procedures, such as field experimentations, measuring relevant traits, using analysis tools of high precision and efficiency, and taking a complementary approach that combines analyses of phenotyping and genotyping at once. The aim of this study is to assess the genetic diversity of 60 genotypes using SSR (simple sequence repeat) markers collected from several regions of the world and select 13 of them as more genetically diverse to be re-evaluated under field conditions to study drought stress by estimating 30 agro-physio-biochemical traits. Genetic parameters and multivariate analysis were used to compare genotype traits and identify which traits are increasingly efficient at detecting wheat genotypes of drought tolerance. Hierarchical cluster (HC) analysis of SSR markers divided the genotypes into five main categories of drought tolerance: four high tolerant (HT), eight tolerant (T), nine moderate tolerant (MT), six sensitive (S), and 33 high sensitive (HS). Six traits exhibit a combination of high heritability (>60%) and genetic gain (>20%). Analyses of principal components and stepwise multiple linear regression together identified nine traits (grain yield, flag leaf area, stomatal conductance, plant height, relative turgidity, glycine betaine, polyphenol oxidase, chlorophyll content, and grain-filling duration) as a screening tool that effectively detects the variation among the 13 genotypes used. HC analysis of the nine traits divided genotypes into three main categories: T, MT, and S, representing three, five, and five genotypes, respectively, and were completely identical in linear discriminant analysis. But in the case of SSR markers, they were classified into three main categories: T, MT, and S, representing five, three, and five genotypes, respectively, which are both significantly correlated as per the Mantel test. The SSR markers were associated with nine traits, which are considered an assistance tool in the selection process for drought tolerance. So, this study is useful and has successfully detected several agro-physio-biochemical traits, associated SSR markers, and some drought-tolerant genotypes, coupled with our knowledge of the phenotypic and genotypic basis of wheat genotypes.

摘要

要成功提高小麦基因型的耐旱性,需要采取多种步骤,如进行田间试验、测量相关性状、使用高精度和高效率的分析工具,以及采用一种将表型分析和基因分型分析同时结合的互补方法。本研究的目的是利用从世界多个地区收集的SSR(简单序列重复)标记评估60个基因型的遗传多样性,并选择其中13个遗传多样性更高的基因型在田间条件下重新评估,通过估计30个农业生理生化性状来研究干旱胁迫。利用遗传参数和多变量分析来比较基因型性状,并确定哪些性状在检测耐旱小麦基因型方面越来越有效。对SSR标记进行层次聚类(HC)分析,将基因型分为五个主要的耐旱类别:四个高耐旱(HT)、八个耐旱(T)、九个中度耐旱(MT)、六个敏感(S)和33个高敏感(HS)。六个性状表现出高遗传力(>60%)和遗传增益(>20%)的组合。主成分分析和逐步多元线性回归共同确定了九个性状(籽粒产量、旗叶面积、气孔导度、株高、相对含水量、甘氨酸甜菜碱、多酚氧化酶、叶绿素含量和灌浆持续时间)作为一种筛选工具,可有效检测所使用的13个基因型之间的变异。对这九个性状进行HC分析,将基因型分为三个主要类别:T、MT和S,分别代表三个、五个和五个基因型,并且在线性判别分析中完全相同。但就SSR标记而言,它们被分为三个主要类别:T、MT和S,分别代表五个、三个和五个基因型,根据曼特尔检验,这两者显著相关。SSR标记与九个性状相关,这些性状被认为是耐旱性选择过程中的辅助工具。因此,本研究很有用,成功检测到了几个农业生理生化性状、相关的SSR标记以及一些耐旱基因型,同时也增加了我们对小麦基因型表型和基因型基础的了解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f524/10890630/bb5ef4c26893/life-14-00183-g001.jpg

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