摘要
分子标记基因型分析是作物品种多样性评估、优异种质发掘与有效利用的重要手段。本研究利用覆盖大豆全基因组的60个微卫星(SSR)分子标记对以黄淮海地区新近育成品系为主的284份大豆材料进行基因型分析,以揭示我国黄淮海地区近期大豆育成品系的遗传多样性特点。结果表明:在供试群体中,60个标记共检测出363个等位变异,每个位点平均有6.05个;PIC指数变异范围为0.297~0.849,平均为0.614。黄淮海地区大豆新品系平均每个位点等位变异为5.75,PIC指数平均为0.604,表现出较高的多样性水平;不同省区中,北京、河北材料多样性最高。基于SSR数据的聚类分析,可将供试材料分为5大类,聚类结果与品系的地理来源相关。进一步选出8对SSR引物能够区分供试材料,可用于构建指纹图谱。
Genotyping analysis of molecular markers is an important way to evaluate the diversity of crop varieties, discover and effectively utilize elite germplasm. The objective of this study is to reveal the genetic basis of newly developed soybean lines/cuhivars in Huang-Huai-Hai area. Total 60 microsatellite (SSR) molecular markers distributing evenly through soybean genome were used to genotype 284 lines. A total of 363 alleles were detected for the 60 SSR markers, with an average allele variation of 6. 05 for each locus. The PIC index ranged from 0. 297 to 0. 849 with an average of 0. 614. The average allele var- iation of soybean lines in Huang-Huai-Hai area was 5.75, and the PIC index was 0. 604, showing a high diversity. In different provinces, Beijing and Hebei showed the highest diversity. Based on SSR data clustering analysis, the test materials could be divided into five clusters, the clustering result was related to the geographical origin. Eight pairs of SSR primers were selected to build the fingerprints of all 284 lines, these marker allele combinations could distinguish all those materials.
作者
金尚昆
朱玉萍
缪依琳
孔可可
孔杰杰
赵团结
JIN Shang-kun, ZHU Yu-ping, MIAO Yi-lin, KONG Ke-ke, KONG Jie-jie, ZHAO Tuan-jie(Soybean Research Institute/National Center for Soybean Improvement/Key Laboratory for Biology and Genetic Improvement of Soybean (General)/Min- istry of Agriculture/National Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University,Nanjing 210095 ,China)
出处
《大豆科学》
CAS
CSCD
北大核心
2018年第2期173-178,共6页
Soybean Science
基金
国家大豆良种重大科研协作攻关项目
国家大学生创新性实验计划项目(201610307015)
江苏省现代作物生产协同创新中心项目(JCIC-MCP)
关键词
大豆
新品系
微卫星标记
遗传多样性
指纹图谱
Soybean
New breeding lines
Microsatellite marker
Genetic diversity
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