面包小麦(Triticum aestivum L.)基因型干旱指标的遗传解剖与基因组预测

Zakaria El Gataa , Alemu Admas , Samira El Hanafi , Zakaria Kehel , Fatima Ezzahra Rachdad , Wuletaw Tadesse
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摘要

干旱是影响中亚、西亚和北非(CWANA)地区农业生产力的主要障碍,特别是由于末端缺水导致小麦产量大幅下降。采用抗旱小麦品种似乎是在气候挑战面前维持小麦生产的一项重要战略。在此背景下,利用国际干旱地区农业研究中心(ICARDA)开发的198个优质面包小麦基因型进行了一项研究。在为期两年(2021-2022年)的摩洛哥Sidi Al-Aidi站,在雨养和灌溉条件下对这组精英基因型进行了评估。对籽粒产量和干旱指标进行表型评估,并使用15k SNP标记对群体进行基因分型。这些准备步骤促进了全基因组关联研究(GWAS)和基因组预测,利用混合线性模型(MLM)来确定与粮食产量和干旱指标相关的标记-性状关联(mta)和候选基因。结果表明,籽粒产量和干旱指标在不同基因型间存在显著差异。旱作条件下的粮食产量表现为0.34 ~ 2.57 t/公顷,灌溉条件下为1.12 ~ 4.57 t/公顷。综合分析确定了39个显著mta (p <;0.001)和14个与干旱指数和粮食产量相关的推定基因。值得注意的是,5B染色体上的标记“wsnp_Ex_c12127_19394952”与雨养环境下的籽粒产量有显著的相关性。此外,与耐受性指数(TOL)相关最显著的标记是位于染色体5A上的BobWhite_c42349_99,与TraesCS5A02G498000基因相关。这个基因起着至关重要的作用,编码过氧化氢酶蛋白,对过氧化氢的反应至关重要。这些标记可用于小麦抗旱性育种的标记辅助选择。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Genetic dissection and genomic prediction of drought indices in bread wheat (Triticum aestivum L.) genotypes
Drought constitutes the main obstacle to agricultural productivity in the Central and West Asia and North Africa (CWANA) region, notably leading to substantial reductions in wheat yields due to terminal water stress. The adoption of drought-resistant wheat varieties appears to be a vital strategy to maintain wheat production in the face of climatic challenges. In this context, a study was conducted utilizing a set of 198 elite bread wheat genotypes developed at the International Center for Agricultural Research in the Dry Areas (ICARDA). This set of elite genotypes was evaluated at the Sidi Al-Aidi station in Morocco over two years (2021–2022), under rain-fed and irrigated conditions. Phenotypic assessments for grain yield and drought indices were performed, alongside genotyping the population using 15k SNP markers. These preparatory steps facilitated a genome-wide association study (GWAS) and genomic prediction, leveraging the Mixed Linear Model (MLM) to pinpoint marker-trait associations (MTAs) and candidate genes pertinent to grain yield and drought indices. The results manifested substantial variations in both grain yield and drought indices among the genotypes tested. Grain yield performance ranged from 0.34 to 2.57 ​t/ha under rain-fed conditions and 1.12 to 4.57 ​t/ha under irrigated scenarios. The comprehensive analysis identified 39 significant MTAs (p ​< ​0.001) and 14 putative genes associated with drought indices and grain yield. Noteworthy is the marker “wsnp_Ex_c12127_19394952” on chromosome 5B, which displayed a significant correlation with grain yield in rain-fed environments. Furthermore, the most prominent marker linked to tolerance index (TOL) was “BobWhite_c42349_99”, situated on chromosome 5A and associated with the TraesCS5A02G498000 gene. This gene plays a critical role, encoding for catalase protein crucial for response to hydrogen peroxide. These markers could be used for marker-assisted selection in wheat breeding programs targeting drought tolerance.
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