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河南省审定花生品种的指纹图谱构建

孙子淇 汤丰收 刘志勇 张新友 徐静 张忠信 刘华 严玫 董文召 黄冰艳 韩锁义

作物学报2016,Vol.42Issue(10):1448-1461,14.
作物学报2016,Vol.42Issue(10):1448-1461,14.DOI:10.3724/SP.J.1006.2016.01448

河南省审定花生品种的指纹图谱构建

DNA Fingerprinting of Peanut (Arachis hypogaea L.) Varieties Released in Henan Province

孙子淇 1汤丰收 2刘志勇 3张新友 1徐静 3张忠信 3刘华 3严玫 3董文召 3黄冰艳 3韩锁义3

作者信息

  • 1. 中国农业大学农学院,北京 100193
  • 2. 河南省农业科学院经济作物研究所/农业部黄淮海油料作物重点实验室/河南省油料作物遗传改良重点实验室,河南郑州 450002
  • 3. 河南省农业科学院经济作物研究所/农业部黄淮海油料作物重点实验室/河南省油料作物遗传改良重点实验室,河南郑州 450002
  • 折叠

摘要

Abstract

The DNA fingerprints of 90 peanut varieties released in Henan province before 2015 were generated using 95 poly-morphic loci of 14 SSR markers. All varieties were distinguished by the DNA polymorphisms except for three pairs of varieties with only one SSR locus difference between each pair. SSR clustering analysis revealed that the 90 peanut varieties could be clas-sified into 88 types at a 0.98 genetic similarity coefficient. The remaining two variety pairs had only one allele difference since one variety was the maternal parent of the other. About three fourth (74.4%) of the peanut varieties were distinctive from other varieties at a genetic similarity coefficient threshold of 0.95, indicating a very relatively narrow genetic background of the re-leased peanut varieties in Henan province compared to other crops. Population structure analysis based on 60 SSR markers demonstrated that the 90 varieties could be divided into three subgroups in accordance with the classification according to botani-cal and pod characteristics, which was consistent with the results of SSR markers cluster analysis. This study provides some fundamental information for selection of parental lines, identification and evaluation of new varieties, as well as establishment of DNA fingerprinting standard in peanut breeding program.

关键词

花生品种/指纹图谱/SSR标记/群体结构

Key words

Peanut variety/Fingerprinting/SSR/Population structure

引用本文复制引用

孙子淇,汤丰收,刘志勇,张新友,徐静,张忠信,刘华,严玫,董文召,黄冰艳,韩锁义..河南省审定花生品种的指纹图谱构建[J].作物学报,2016,42(10):1448-1461,14.

基金项目

本研究由河南省重大科技专项(141100110600),国家现代农业产业技术体系建设专项(CARS-14),河南省现代农业产业技术体系建设项目(S2012-5)和河南省农业科学院自主创新专项基金资助。This study was supported by the Key Project of Science and Technology of Henan Province (141100110600), the China Agriculture Research System of Peanut (CARS-14), the Agriculture Research System of Henan Province (S2012-5), and the Special Fund for Independent Innova-tion of Henan Academy of Agricultural Science (141100110600)

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