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利用微卫星和染色方法评估遗传多样性和微量元素与农艺性状的关系,从而加速不同小麦群体中高微量元素品种的选择。

Assessment of genetic biodiversity and association of micronutrients and agronomic traits using microsatellites and staining methods which accelerates high-micronutrients variety selections within different wheat groups.

机构信息

Department of Plant Production and Genetics, School of Agriculture, Shiraz University, Shiraz, Iran.

International Maize and Wheat Improvement Center (CIMMYT), Apdo postal 6-641, 06600, Mexico, Mexico.

出版信息

Sci Rep. 2024 Nov 9;14(1):27419. doi: 10.1038/s41598-024-78964-5.

Abstract

Evaluation of genetic biodiversity for micronutrients is crucial for breeding high-quality crops and addressing the negative impacts of mineral deficiencies. The objectives of this research were to assess genetic variation and the relationship between grain Fe and Zn levels and agronomic traits in a diverse collection of wheat varieties. Additionally, the study aimed to determine the correlation between microsatellite markers (SSR) and micronutrient quantities. A total of 42 genotypes (Iranian commercial cultivars, landraces, and Afghan and Swiss varieties) were evaluated over a two-year period. Fe and Zn levels were measured using two semi quantitative staining assays and atomic absorption spectrophotometry (AAS) facility. Semi-quantitative staining methods and AAS showed high correlations for micronutrient contents. Landraces exhibited higher Fe (63.79 mg/kg) and Zn (44.76 mg/kg) but lower grain yield compared with commercial cultivars. Heritability estimates ranged 53%-79.43%, suggesting that genetic variance played a higher contribution in the phenotypic variation of traits than environmental factors. Notably, Fe content displayed significant correlations with days to maturity. Canonical correlation analysis (CCA) revealed that Zn content was correlated with four agronomic traits. Evaluation of genetic diversity using SSR markers demonstrated high genetic variation among the genotypes tested. The analysis of polymorphism information content (PIC) indicated that SSR primers had an average PIC of 0.75, with the Xgwm192 primer exhibiting higher PIC than others. Several SSR markers revealed association with micronutrient content that can be used in marker-assisted selection (MAS) programs aimed at selection of high micronutrient genotypes. In conclusion, the findings underscored the substantial genetic diversity present in micronutrient levels among global wheat genotypes, the potential of landraces for micronutrients biofortification of wheat cultivars through cross hybridization, the utility of staining methods for screening high/low micronutrient genotypes, and use of microsatellite markers for marker-assisted breeding aiming to micronutrient improvement in breeding programs.

摘要

评估微量营养素的遗传多样性对于培育高质量作物和解决矿物质缺乏的负面影响至关重要。本研究的目的是评估不同小麦品种的遗传变异以及籽粒 Fe 和 Zn 水平与农艺性状之间的关系。此外,该研究旨在确定微卫星标记 (SSR) 与微量营养素数量之间的相关性。在两年的时间里,对 42 个基因型(伊朗商业品种、地方品种以及阿富汗和瑞士品种)进行了评估。使用两种半定量染色测定法和原子吸收分光光度法(AAS)来测量 Fe 和 Zn 水平。半定量染色方法和 AAS 显示出对微量元素含量的高度相关性。与商业品种相比,地方品种表现出更高的 Fe(63.79mg/kg)和 Zn(44.76mg/kg)含量,但籽粒产量较低。遗传力估计值在 53%-79.43%之间,表明遗传方差在性状的表型变异中比环境因素起着更高的作用。值得注意的是,Fe 含量与成熟天数呈显著相关性。典范相关分析(CCA)表明 Zn 含量与四个农艺性状相关。使用 SSR 标记评估遗传多样性表明,所测试的基因型之间存在高度遗传变异。多态信息含量(PIC)分析表明,SSR 引物的平均 PIC 为 0.75,其中 Xgwm192 引物的 PIC 高于其他引物。一些 SSR 标记与微量元素含量存在关联,可以用于标记辅助选择(MAS)计划,以选择富含微量营养素的基因型。总之,这些发现强调了全球小麦基因型中微量营养素水平存在的大量遗传多样性,地方品种通过杂交将微量元素生物强化到小麦品种中的潜力,染色方法用于筛选高/低微量营养素基因型的实用性,以及使用微卫星标记进行旨在改善微量营养素的标记辅助育种的育种计划。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/018e/11550475/c838df9b5aab/41598_2024_78964_Fig1_HTML.jpg

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