PEG胁迫下春麦根部性状全基因组关联分析
作者:
作者单位:

1.新疆农业科学院农作物品种资源研究所,乌鲁木齐 830091;2.新疆农业大学农学院新疆作物遗传改良与种质创新重点实验室, 乌鲁木齐 830052;3.新疆农业科学院国际科技合作交流处,乌鲁木齐 830091

作者简介:

研究方向为小麦抗逆性育种,E-mail :1742360930@qq.com

通讯作者:

严勇亮,研究方向为作物遗传育种,E-mail :yanliang198279@163.com

中图分类号:

基金项目:

新疆农业科学院青年科技骨干创新能力培养专项(xjnkq-2022005);国家自然科学基金(31660389,U1403185)


Genome-wide Association Analysis of Spring Wheat Root Traits under PEG Stress Treatments
Author:
Affiliation:

1.Institute of Crop Variety Resources, Xinjiang Academy of Agricultural Sciences, Urumqi 830091;2.Key Laboratory of Xinjiang Crop Genetic and Germplasm Enhancement, College of Agronomy, Xinjiang Agricultural Univerysity, Urumqi 830052;3.International Science and Technology Cooperation and Exchange Office, Xinjiang Academy of Agricultural Sciences, Urumqi 830091

Fund Project:

Foundation projects: Xinjiang Academy of Agricultural Sciences Special Project for the Training of Innovation Ability of Young Scientists and Technologists (xjnkq-2022005); National Natural Science Foundation of China (31660389,U1403185)

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    摘要:

    小麦是多数国家重要口粮作物之一,干旱严重影响小麦的生长发育和产量。为挖掘与小麦根部性状抗旱性相关的SNP位点及候选基因,本研究以183份新疆春小麦自然群体为材料,使用20% PEG-6000溶液和正常营养液进行苗期抗旱水培试验,对总根长、根表面积、根体积、根平均直径、根鲜重、根干重、根尖数和最长根长等8个小麦根部性状的测定值进行统计分析,对根部性状的抗旱系数进行相关性分析,并结合55K基因芯片对根部性状的抗旱系数进行混合线性模型(Q+K)的全基因组关联分析。研究结果表明,正常培养下,8个根部性状变异系数为17.81%~70.71%,PEG胁迫处理下,8个根部性状变异系数为20.01%~61.62%。小麦根部性状抗旱系数的相关性分析结果表明,根平均直径抗旱系数与总根长抗旱系数、根尖数抗旱系数和最长根长抗旱系数呈极显著负相关,总根长抗旱系数与根表面积抗旱系数的相关系数最大,为0.74。全基因组关联分析结果显示,共定位到54个与根部抗旱性状相关的SNP位点(P≤0.001),单个位点可解释表型变异范围为6.18%~18.74%,分布在除3B、3D、5D、6D和7D外的16条染色体上。共检测到多效位点6个,分别位于1A、5A、7A、1B、5B和2D染色体上,可解释6.55%~18.74%的表型变异。其中,位于5A染色体上的AX-110482078~AX-110400975与根尖数、根体积和最长根长显著关联,贡献率为8.74%~15.44%。对显著关联的54个位点进行候选基因预测,获得TraesCS4A01G424000TraesCS6A01G047200TraesCS5B01G056600等9个可能与小麦根部性状抗旱性相关的基因,这些基因可能通过调控转脂蛋白、过氧化物酶、MYB转录因子等参与小麦逆境生理调控。

    Abstract:

    Wheat (Triticum aestivum) is one of important food crops in many countries, whereas drought seriously destabilizes its growth and yield production. In this study, the genome-wide association study (GWAS) was conducted to mine SNP loci and candidate genes that associate with drought resistance of wheat root traits at seedling stage. 183 Xinjiang spring wheat varieties (lines) were examined under 20% PEG-6000 or normal nutrient solution treatment conditions, to simulate drought stress at seedling stage. The measurement of root traits were statistically analyzed, and the correlation analysis of drought resistance coefficient was carried out. Genome-wide association analysis of drought resistance coefficients of eight traits including total root length, root surface area, root volume, root mean diameter, root fresh weight, root dry weight, root tip number and maximum root length was performed using a hybrid linear model MLM (Q+K) using 55K SNPs, and candidate genes were identified for significant inherited association loci. The results showed that the variation coefficient of eight root traits were 17.81%~70.71% and 20.01%~61.62% under normal and PEG stress conditions, respectively. Correlation analysis results showed that the drought resistance coefficient of average root diameter was significantly negatively correlated with those of total root length, number of root tips and maximum root length. The drought resistance coefficient of total root length and root surface area had the largest correlation coefficient of 0.74. Genome-wide association scanning enabled identification of 54 SNPs associated to root drought resistance (P≤0.001), distributed on 16 chromosomes except 3B, 3D, 5D, 6D and 7D. Each single locus could explain the phenotypic variation ranging from 6.18% to 18.74%. In addition, six pleiotropic loci were detected, which were located on chromosomes 1A, 5A, 7A, 1B, 5B and 2D, each explaining the phenotypic variation ranging from 6.55% to 18.74%. The locus AX-110482078-AX-110400975 was significantly associated with the number of root tips, root volume and maximum root length on chromosome 5A, with the contribution rate ranging from 8.74% to 15.44%. Nine candidate genes were proposed based on 54 significantly-associated SNPs. With gene annotation information, three genes TraesCS4A01G424000TraesCS6A01G047200 and TraesCS5B01G056600 were proposed to be involved in physiological regulation of wheat stress by regulating translipoprotein, peroxidase and MYB transcription factors, respectively.

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曲可佳,时晓磊,王兴州,等.PEG胁迫下春麦根部性状全基因组关联分析[J].植物遗传资源学报,2023,24(2):396-407.

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  • 收稿日期:2022-09-11
  • 最后修改日期:2022-11-02
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  • 在线发布日期: 2023-03-14
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