李云香,侯万伟,张小娟.引进ICARDA的小麦苗期抗旱性鉴定及SNP关联分析[J].干旱地区农业研究,2024,(3):22~34
引进ICARDA的小麦苗期抗旱性鉴定及SNP关联分析
Identification of drought resistance and SNP correlation analysis of wheat seedling introduced from ICARDA
  
DOI:10.7606/j.issn.1000-7601.2024.03.03
中文关键词:  小麦  抗旱性鉴定  SNP  关联分析
英文关键词:wheat  drought resistance identification  SNP  association analysis
基金项目:青海省昆仑英才·高端创新人才·培养拔尖(千人计划)(2022)
作者单位
李云香 青海大学生态环境工程学院青海 西宁 810016 
侯万伟 青海省农林科学院青海 西宁 810016国家农作物种质资源复份库青海 西宁 810016 
张小娟 青海大学生态环境工程学院青海 西宁 810016 
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中文摘要:
      以引进国际干旱地区农业研究中心(ICARDA)的160份小麦为研究对象,在苗期用20% PEG-6000模拟干旱条件进行处理,以正常营养液作为对照,分析干旱环境对7个苗期相关性状(苗高、最长根长、根数、茎叶鲜质量、茎叶干质量、根鲜质量和根干质量)的影响,利用综合评价值进行抗旱评价及抗旱分级,并结合55K SNP芯片对159份小麦的苗期抗旱相关性状的抗旱系数进行关联分析。抗旱鉴定结果表明:干旱处理下的各个苗期相关性状均低于正常处理水平,按照综合评价值及系统聚类,将160份小麦分为高抗旱(5份)、中等抗旱(53份)、低抗旱(97份)和干旱敏感(5份)四类;在苗期筛选出5份高抗旱品种,包括ICARDA69、ICARDA51、ICARDA49、ICARDA83、ICARDA84,其D值分别为0.823、0.813、0.765、0.722、0.711。关联分析结果显示:利用24151个SNP标记位点结合苗期相关性状的抗旱系数在P≤0.001水平下共定位到227个抗旱相关标记,分布在除1B、2D、4D和6D外的17条染色体上,可解释7.13%~14.68%的表型变异。检测到3个多效应位点,分别位于4B、5B和6A染色体上,可解释9.31%~13.28%的表型变异。其中,位于4B染色体上的AX-108789337与茎叶干质量和根干质量显著关联,可解释10.44%~13.28%的表型变异;位于5B染色体上的AX-109353092与苗高和根鲜质量显著关联,可解释9.31%~10.93%的表型变异;位于6A染色体上的AX-110432128与苗高和根鲜质量显著关联,可解释9.95%~9.99%的表型变异。
英文摘要:
      160 wheat samples imported from the International Center for Agricultural Research in the Dry Areas (ICARDA) were used as the research objects. Treating with 20% PEG-6000 simulated drought conditions at the seedling stage, and the effects of arid environment on seven seedling related traits (plant height, maximum root length, root number, straw fresh mass, straw dry mass, root fresh mass and root dry mass) were analyzed by using the comprehensive evaluation values, and the drought resistance coefficients of drought\|related traits at the seedling stage of 159 (excluded one unqualified sample) wheat were analyzed by combining 55K SNP markers. The results of drought resistance identification showed that the correlation of each seedling stage under drought treatment was lower than the normal treatment level. According to the comprehensive evaluation value and systematic clustering, 160 wheat samples were divided into four categories: high drought resistance (5 samples), medium drought resistance (53 samples), low drought resistance (97 samples), and drought sensitivity (5 samples). Five high drought resistant varieties were selected during the seedling stage, including ICARDA69, ICARDA51, ICARDA49, ICARDA83, and ICARDA84,and their D values were 0.823, 0.813, 0.765, 0.722, and 0.711, respectively. The association analysis results showed that a total of 227 drought resistance related markers were located at the P≤0.001 level using 24151 SNP marker loci combined with seedling related traits, distributed on 17 chromosomes except 1B, 2D, 4D, and 6D, which explained phenotypic variations of 7.13%~14.68%. Three multiple effector loci were detected, located on chromosomes 4B, 5B, and 6A respectively, which explained phenotypic variations ranging from 9.31%~13.28%. Among them, AX-108789337 located on chromosome 4B was significantly associated with straw dry mass and root dry mass, which explained 10.44%~13.28% of phenotypic variations. Located on the 5B chromosome, AX-109353092 was significantly associated with plant height and root fresh mass, which explained phenotypic variations ranging from 9.31%~10.93%. Located on chromosome 6A, AX-110432128 was significantly associated with plant height and root fresh mass, which explained phenotypic variations ranging from 9.95%~9.99%.
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