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草业学报 ›› 2020, Vol. 29 ›› Issue (7): 143-153.DOI: 10.11686/cyxb2019448

• 研究论文 • 上一篇    下一篇

玉米自交系SSR多样性与穗部性状的关联分析

丁永福, 王纪良, 陈奋奇, 庄泽龙, 白明兴, 陆晏天, 金兵兵, 彭云玲*   

  1. 甘肃农业大学农学院,甘肃省干旱生境作物学重点实验室,甘肃省作物改良与种质创新重点实验室,甘肃 兰州 730070
  • 收稿日期:2019-10-22 修回日期:2019-12-23 出版日期:2020-07-20 发布日期:2020-07-20
  • 通讯作者: *E-mail: pengyunlingpyl@163.com
  • 作者简介:丁永福(1996-),男,甘肃张掖人,在读硕士。E-mail: 18893810043@163.com
  • 基金资助:
    国家重点研发项目(No.2018YFD0100203-4),甘肃省重点人才项目,中科院“西部之光”项目(20180504),甘肃省玉米产业技术体系(GARS-02-04),甘肃省重点研发计划(18YF1NA071)和甘肃省重大科技专项(17ZD2NA016)资助

Correlation between SSR diversity and ear traits of maize inbred lines

DING Yong-fu, WANG Ji-liang, CHEN Fen-qi, ZHUANG Ze-long, BAI Ming-xing, LU Yan-tian, JIN Bing-bing, PENG Yun-ling*   

  1. College of Agronomy, Gansu Agricultural University, Gansu Provincial Key Laboratory of Aridland Crop Science, Gansu Key Lab of Crop Improvement & Germplasm Enhancement, Lanzhou 730070, China
  • Received:2019-10-22 Revised:2019-12-23 Online:2020-07-20 Published:2020-07-20

摘要: 玉米穗部性状直接影响其单株产量。为深入剖析玉米自交系穗部性状的遗传多样性,寻找与目标性状关联的分子标记,采用145对SSR引物对186份玉米自交系进行遗传多样性分析,共检测到652个等位基因,平均等位基因数为4.5个,平均多态信息量为0.478;利用Structure软件,将186份自交系分为5个亚群(旅大红股、塘四平头、兰卡斯特、P群、瑞德);并通过GLM关联分析模型分析,共找到14个与穗行数、穗粗、轴粗、穗长、秃顶长、行粒数、单穗重、百粒重、穗轴重9个穗部性状相关的标记,各标记对表型变异的解释率为0.0211~0.2159;通过MLM关联分析模型,共检测到8个与穗部性状相关的标记,各标记对表型变异的解释率为0.0174~0.1243;这些标记分布在1、2、3、4、5、7、8、9、10号染色体上。通过研究玉米遗传多样性与穗部性状的关联分析,可以为发掘优异的等位变异基因,复杂性状的遗传学研究和分子标记辅助育种奠定基础。

关键词: 玉米自交系, 玉米穗部, 遗传多样性, SSR, 关联分析

Abstract: Ear-conformation traits directly affect the yield per plant of maize. This research aimed to provide an in-depth analysis of the genetic diversity of ear traits in maize inbred lines, and identify molecular markers associated with target traits. Pairs of SSR primers (n=145) were used to analyze the genetic diversity of 186 maize inbred lines in the study. A total of 652 alleles were detected. The average number of alleles was 4.5 per inbred line, and the average polymorphic information content of markers was 0.478. Using Structure software, 186 inbred lines were divided into 5 subgroups (Lyuda red cob, Tang sipingtou, Lancaster, P group and Reid). Using general linear model analysis, we found 14 markers related to the following 9 panicle traits: the number of kernel rows, ear diameter, cob diameter, ear length, bald length, number of kernels per row, grain weight per spike, 100-kernel weight, and cob weight. The tag contribution to phenotypic variation ranged from 0.0211 to 0.2159. A total of 8 ear-conformation trait tags were detected by an MLM (mixed linear model) correlation analysis model, and for these tags the phenotypic variation ranged from 0.0174 to 0.1243. These tags were located on chromosomes 1, 2, 3, 4, 5, 7, 8, 9, 10. This detailed analysis correlating maize genetic diversity for ear traits with SSR occurrence lays a foundation for the discovery of genes conveying superior allelic variation, for genetic studies of complex traits and for molecular marker-assisted breeding.

Key words: maize inbred lines, maize ear, genetic diversity, SSR, association analysis