Exploring genomic loci and candidate genes associated with drought tolerance indices in spring wheat evaluated under two levels of drought.

IF 4.3 2区 生物学 Q1 PLANT SCIENCES
Mohamed Mosalam, Rahma A Nemr, Maha Aljabri, Alaa A Said, Mohamed El-Soda
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引用次数: 0

Abstract

Background: Wheat is a major global crop, and increasing its productivity is essential to meet the growing population demand. However limited water resources is the primary constraint. This study aimed to identify genetic factors associated with drought tolerance using a diverse panel of 287 wheat genotypes evaluated under well-watered and drought-stressed conditions. Water Use Efficiency (WUE) and Grain Yield (GY), along with drought tolerance indices, were assessed. A genome-wide association study (GWAS) using 26,814 high-density SNP markers identified loci linked to these traits, with 768 SNPs showing significant associations. Additionally, genomic selection (GS) was performed using the rrBLUP model to predict trait performance across environments.

Results: Among the 768 significant SNPs associated with the measured traits at -log10 (P) ≥ 3, 81 SNPs were mapped with a higher threshold -log10 (P) ≥ 4, indicating pleiotropic and QTL-by-environment interaction effects. Several novel and known genes, previously reported to have functions related to biotic and abiotic stresses response were linked to significant SNPs. Among the drought indices evaluated, stress tolerance index (STI), geometric mean productivity (GMP), and tolerance index (TOL) were the most reliable indicators for selecting stable, high-yielding genotypes under drought and control conditions. The same three indices exhibited high prediction values under the severe drought stress (SS) condition. Five genotypes were identified as promising candidates for breeding programs based on their superior drought tolerance, high grain yield, and nutritional value.

Conclusion: This study provides valuable insights into the genetic basis of drought tolerance in wheat, highlighting key SNPs and genomic regions associated with improved water use efficiency and yield stability. The findings contribute to the development of drought-tolerant wheat varieties with optimized water utilization to achieve increased yield per unit of water at diverse water levels, ultimately contributing to sustainable agriculture and food security.

两级干旱条件下春小麦耐旱性指标相关基因位点和候选基因的探索
背景:小麦是一种主要的全球作物,提高其产量对于满足日益增长的人口需求至关重要。然而,有限的水资源是主要的制约因素。本研究旨在通过对287种小麦基因型在水分充足和干旱胁迫条件下进行评估,确定与耐旱性相关的遗传因素。对籽粒水分利用效率(WUE)和产量(GY)以及抗旱指标进行了评价。一项使用26,814个高密度SNP标记的全基因组关联研究(GWAS)发现了与这些性状相关的位点,其中768个SNP显示出显著的关联。此外,使用rrBLUP模型进行基因组选择(GS)来预测不同环境下的性状表现。结果:在-log10 (P)≥3的768个与性状相关的显著snp中,有81个snp被定位为高阈值-log10 (P)≥4,表明存在多效性和qtl -环境互作效应。一些新的和已知的基因,先前报道具有与生物和非生物应激反应相关的功能,与显著的snp相关。其中,抗旱性指数(STI)、几何平均生产力(GMP)和耐旱性指数(TOL)是选择干旱和对照条件下稳定高产基因型的最可靠指标。在严重干旱胁迫条件下,这3个指标均具有较高的预测价值。根据其优异的耐旱性、高产量和营养价值,确定了五个有希望的育种候选基因型。结论:该研究为小麦耐旱性的遗传基础提供了有价值的见解,突出了与提高水分利用效率和产量稳定性相关的关键snp和基因组区域。研究结果有助于培育具有最佳水分利用能力的耐旱小麦品种,从而提高不同水位下的单位水分产量,最终促进农业可持续发展和粮食安全。
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来源期刊
BMC Plant Biology
BMC Plant Biology 生物-植物科学
CiteScore
8.40
自引率
3.80%
发文量
539
审稿时长
3.8 months
期刊介绍: BMC Plant Biology is an open access, peer-reviewed journal that considers articles on all aspects of plant biology, including molecular, cellular, tissue, organ and whole organism research.
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