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作 者:张娜 张希兰 赵明辉[3] 乔文臣[3] 傅晓艺[4] 何明琦[4] 孙丽静[5] 李辉[5] 赵月星 纪军[2] ZHANG Na;ZHANG Xi-Lan;ZHAO Ming-Hui;QIAO Wen-Chen;FU Xiao-Yi;HE Ming-Qi;SUN Li-Jing;LI Hui;ZHAO Yue-Xing;JI Jun(Xuzhou Institute of Agricultural Sciences in Xuhuai Region of Jiangsu,Xuzhou 221131,China;Center for Agricultural Resources Research,Institute of Genetics and Developmental Biology,Chinese Academy of Sciences,Shijiazhuang 050021,China;Institute of Dry Farming Agriculture,Hebei Academy of Agricultural and Forestry Sciences,Hengshui 053000,China;Shijiazhuang Academy of Agricultural and Forestry Sciences,Shijiazhuang 050041,China;Institute of Cereal and Oil Crops,Hebei Academy of Agricultural and Forestry Sciences,Shijiazhuang 050035,China;Agriculture and Rural Area of Yongnian District,Handan 057150,China)
机构地区:[1]江苏徐淮地区徐州农业科学研究所,徐州221131 [2]中国科学院遗传与发育生物学研究所农业资源研究中心,石家庄050021 [3]河北省农林科学院旱作农业研究所,衡水053000 [4]石家庄市农林科学研究院,石家庄050041 [5]河北省农林科学院粮油作物研究所,石家庄050035 [6]河北省邯郸市永年区农业农村局,邯郸057150
出 处:《农业生物技术学报》2021年第3期435-442,共8页Journal of Agricultural Biotechnology
基 金:国家自然科学基金(31901535);河北省科技支撑计划项目(16226320D)。
摘 要:单株穗数(Spike number per plant, SNPP)与小麦(Triticum aestivum)单位面积穗数直接相关且对氮素极其敏感。为了鉴定单株穗数耐低氮胁迫的遗传位点,促进氮高效或耐低氮的小麦品种的选育和改良,本研究利用黄淮北片冬麦区132份小麦品种(系)在高、低氮水平共8个环境下的单株穗数及单株穗数耐低氮胁迫系数,结合Affymetrix Wheat 55K SNP芯片进行了全基因组关联分析(genome-wide association study, GWAS)。共检测到4个位点在2个或2个以上环境中与单株穗数显著关联,对表型变异的贡献率为10.20%~17.5%;3个位点在2个环境中与单株穗数耐低氮胁迫系数显著关联,可解释11.4%~16.3%表型贡献率。显著关联位点等位基因的遗传效应及分布频率表明,加强AX-108733649-2B、AX-108889870-4A、AX-111667100-5B和AX-111039914-7D位点的选择,对小麦氮高效品种的遗传改良具有重要意义。As an important factor that affects the spike number per unit area of wheat(Triticum aestivum),spike number per plant(SNPP) is sensitive to nitrogen level. In order to detect loci of SNPP response to nitrogen stress and to assist selecting and improving the nitrogen use efficiency or nitrogen stress sustain ability of wheat varieties, genome wide association study(GWAS) was conducted. The association panel consisted of 132 wheat varieties and their advanced lines derived from the north Yellow and Huai Valley Wheat Region of China. SNPP in 8 environments under 2 different nitrogen levels and tolerant index(TI) of SNPP to low nitrogen stress were investigated. Affymetrix Wheat 55 K SNP was used to achieved the genetic data. Finally, 4 loci were identified to associated with SNPP in two or more environments accounting for10.20%~17.5% of the phenotypic variation. And 3 loci associated with TI of SNPP were detected in 2 environments with the phenotypic variation ranging from 11.4% to 16.3%. Evaluation of the genetic effects and frequency of the alleles in the significantly associated loci suggested that it was important to strengthen the selection of the AX-108733649-2 B, AX-108889870-4 A, AX-111667100-5 B and AX-111039914-7 D loci for genetic improvement of wheat varieties with high nitrogen use efficiency.
关 键 词:小麦 单株穗数 全基因组关联分析(GWAS) 氮素利用效率
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