Suppr超能文献

春小麦种质资源的大量元素、微量元素和痕量金属的遗传特征分析

Genetic Characterization of Spring Wheat Germplasm for Macro-, Microelements and Trace Metals.

作者信息

Morgounov Alexey, Li Huihui, Shepelev Sergey, Ali Mohsin, Flis Paulina, Koksel Hamit, Savin Timur, Shamanin Vladimir

机构信息

Agronomy Department, Omsk State Agrarian University, 644008 Omsk, Russia.

Institute of Crop Sciences, Chinese Academy of Agricultural Sciences & CIMMYT-China, Beijing 100081, China.

出版信息

Plants (Basel). 2022 Aug 21;11(16):2173. doi: 10.3390/plants11162173.

Abstract

Wheat as a staple food crop is the main source of micro- and macronutrients for most people of the world and is recognized as an attractive crop for biofortification. This study presents a comprehensive investigation of genomic regions governing grain micro- and macroelements concentrations in a panel of 135 diverse wheat accessions through a genome-wide association study. The genetic diversity panel was genotyped using the genotyping-by-sequencing (GBS) method and phenotyped in two environments during 2017−2018. Wide ranges of variation in nutrient element concentrations in grain were detected among the accessions. Based on 33,808 high-quality single nucleotide polymorphisms (SNPs), 2997 marker-element associations (MEAs) with −log10(p-value) > 3.5 were identified, representing all three subgenomes of wheat for 15-grain concentration elements. The highest numbers of MEAs were identified for Mg (499), followed by S (399), P (394), Ni (381), Cd (243), Ca (229), Mn (224), Zn (212), Sr (212), Cu (111), Rb (78), Fe (63), Mo (43), K (32) and Co (19). Further, MEAs associated with multiple elements and referred to as pleiotropic SNPs were identified for Mg, P, Cd, Mn, and Zn on chromosomes 1B, 2B, and 6B. Fifty MEAs were subjected to validation using KASIB multilocational trial at six sites in two years using 39 genotypes. Gene annotation of MEAs identified putative candidate genes that potentially encode different types of proteins related to disease, metal transportation, and metabolism. The MEAs identified in the present study could be potential targets for further validation and may be used in marker-assisted breeding to improve nutrient element concentrations in wheat grain.

摘要

小麦作为主要粮食作物,是世界上大多数人微量和大量营养素的主要来源,并且被认为是生物强化的理想作物。本研究通过全基因组关联研究,对135份不同小麦种质组成的群体中控制籽粒微量和大量元素浓度的基因组区域进行了全面调查。利用简化基因组测序(GBS)方法对该遗传多样性群体进行基因分型,并于2017 - 2018年在两种环境下进行表型分析。在这些种质中检测到籽粒营养元素浓度存在广泛变异。基于33,808个高质量单核苷酸多态性(SNP),鉴定出2997个标记 - 元素关联(MEA),其 -log10(p值)> 3.5,代表了小麦所有三个亚基因组的15种籽粒浓度元素。MEA数量最多的是Mg(499个),其次是S(399个)、P(394个)、Ni(381个)、Cd(243个)、Ca(229个)、Mn(224个)、Zn(212个)、Sr(212个)、Cu(111个)、Rb(78个)、Fe(63个)、Mo(43个)、K(32个)和Co(19个)。此外,在1B、2B和6B染色体上鉴定出与多种元素相关的MEA,即多效性SNP,涉及Mg、P、Cd、Mn和Zn。使用39个基因型在两年内的六个地点进行KASIB多点试验,对50个MEA进行了验证。MEA的基因注释鉴定出了可能编码与疾病、金属运输和代谢相关的不同类型蛋白质的推定候选基因。本研究中鉴定出的MEA可能是进一步验证的潜在目标,并可用于标记辅助育种,以提高小麦籽粒中的营养元素浓度。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3623/9412593/f528decb6fc3/plants-11-02173-g001.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验