干旱胁迫下小麦苗期根系性状的全基因组关联分析
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1.新疆农业大学农学院/优质专用麦类作物工程技术研究中心;2.新疆农业科学院农作物品种资源研究所

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新疆自治区重大科技专项(2021A02001-1)


Genome-wide Association Analysis of Seedling Root Traits in Wheat under Drought Stress
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Major science and technology projects of Xinjiang Autonomous Region (2021A02001-1)

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    摘要:

    研究小麦根系在干旱逆境下的形态特征和遗传机制是提升小麦抗旱能力并获得稳产的基础。本研究以300份国内外小麦品种(系)为材料,苗期采用PEG-6000模拟干旱胁迫对小麦根系的最长根长、根总长、根表面积、根体积、根平均直径、根尖数、根鲜重和根干重等8个性状进行表型鉴定,结合90K SNP芯片对8个性状的抗旱系数进行混合线性模型MLM(Q+K)的全基因组关联分析,并对稳定遗传的显著关联位点进行候选基因的挖掘。研究结果表明,干旱胁迫下小麦品种(系)的根系性状表现出丰富的表型变异,变异系数为0.17~0.58,全基因组多态信息量(PIC, polymorphic information content)为0.01~0.38,LD衰减距离为7Mb。群体结构分析表明,供试材料分为3个亚群。GWAS分析显示,共检测到与8个根系性状显著关联的41个SNP位点,主要集中于1B、2B、3A、3B、5A、6B和7B染色体上,可解释表型变异范围为3.91%~8.04%。同时在两个及两个以上的性状中均发现的显著关联位点13个,分布在1B、1D、2A、2B、3B(2)、4A、4D、5A、5B、6B(2)和7B染色体上,解释3.99%~7.05%的表型变异。其中Tdurum_contig71499_211(5A)、GENE-1743_858(3B)、Tdurum_contig28552_211(5B)3个位点同时与根鲜重、根表面积、根干重、根体积或总根长、根尖数等4~5个性状显著关联,分别能解释遗传变异的4.12%~5.37%、5.77%~6.70%、4.10%~5.22%。同时对41个稳定遗传的显著关联位点进行候选基因的挖掘,共筛选到11个与小麦抗旱性相关的候选基因。其中TraesCS3B01G392300(钙依赖而钙调素不依赖的蛋白激酶)参与Ca2+水平的刺激应答;TraesCS1D01G036900(半胱氨酸受体激酶)和TraesCS5A01G370400(丝氨酸蛋白激酶)在干旱、高盐等逆境环境以及各种生长发育的信号传导过程中起重要作用;TraesCS7B01G440700(细胞色素P450蛋白)对细胞防御有毒物质方面有重要作用,这些候选基因可作为抗旱性重要基因。

    Abstract:

    Study on the morphological characteristics and genetic mechanism of wheat root system under drought stress is the basis of improving drought tolerance and stabilizing wheat yield. Genome-wide association study (GWAS) was conducted on drought resistance coefficient of wheat root traits at seedling stage, and significant correlation loci and candidate genes were identified to provide information for genetic improvement of wheat drought tolerance. In this experiment, 300 domestic and exotic excellent wheat varieties (lines) were treated by PEG-6000 to simulate drought stress at seedling stage, followed by measurement of wheat root-related phenotypic characters. Genome-wide association analysis of drought resistance coefficients of eight traits including longest root length, total root length, root surface area, root volume, root average diameter, root tip number was performed using a hybrid linear model MLM (Q+K) using 90K SNP, and candidate genes were mined for significant association loci of stable inheritance. The root traits of wheat varieties (lines) showed abundant phenotype variation under drought tolerance, with the variation coefficient of 0.17-0.58, the polymorphic information content (PIC) of 0.01-0.38, and the LD attenuation distance of 7Mb. The population structure analysis suggested three subgroups in this collection. GWAS analysis identified a total of 41 SNPS, which were significantly associated with root drought resistance traits, and mainly found on chromosomes 1B, 2B, 3A, 3B, 5A, 6B and 7B. The phenotype variation explained by a single locus ranged from 3.91% to 8.04%. Thirteen significant association loci were found in two or more traits, distributed on chromosomes 1B, 1D, 2A, 2B, 3B (2), 4A, 4D, 5A, 5B, 6B (2) and 7B, explaining 3.99%-7.05% of the phenotype variation. Tdurum_contig71499_211, Gene-1743_858 and Tdurum_contig28552_211 were significantly associated with 4-5 traits including root fresh weight, root surface area, root dry weight, root volume or root total length and root tip number. Three loci contributed to 4.12%-5.37%, 5.77%-6.70% and 4.10%-5.22% of genetic variation, respectively. Eleven candidate genes were proposed by mining 41 significant association loci of stable inheritance. With gene annotation information, TraesCS3B01G392300 (Calcium-dependent lipid-binding domain-containing protein) is known to be involved in Ca2+ level stimulation response, TraesCS1D01G036900 (Cysteine receptor-kinase protein) and TraesCS5A01G370400 (Serine protein kinase) play important roles in drought, high salt stress and various signaling processes in growth and development. TraesCS7B01G440700 (Cytochrome P450) might function in cell defense against toxic substances. These annotated genes might be used as important genes of drought tolerance in wheat.

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王博华,任 毅,时晓磊,等.干旱胁迫下小麦苗期根系性状的全基因组关联分析[J].植物遗传资源学报,2022,23(4):1111-1123.

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  • 收稿日期:2022-01-13
  • 最后修改日期:2022-03-03
  • 录用日期:2022-03-15
  • 在线发布日期: 2022-07-08
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