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甘蓝型油菜株高QTL定位及主效QTL区间候选基因预测

姜成红 耿鑫鑫 魏文辉 姜慧芳

河南农业科学2017,Vol.46Issue(8):27-31,5.
河南农业科学2017,Vol.46Issue(8):27-31,5.DOI:10.15933/j.cnki.1004-3268.2017.08.005

甘蓝型油菜株高QTL定位及主效QTL区间候选基因预测

QTL Mapping of Plant Height and Prediction of Candidate Genes in Major QTL Interval of Brassica napus

姜成红 1耿鑫鑫 1魏文辉 1姜慧芳1

作者信息

  • 1. 中国农业科学院油料作物研究所/农业部油料作物生物学与遗传育种重点实验室,湖北武汉430062
  • 折叠

摘要

Abstract

For studying the genetic basis controlling the plant height of rapeseed (Brassica napus),a recombinant inbred line population(190 lines) derived from a cross between a dwarf B.napus line DH-7-9 and a tall B.napus line DH-G-42 constructed by selfing for successive generations was used as material.This population was grown in Xining and Wuhan.The plant heights of individual lines were measured.The QTLs of plant height were detected using the genetic map constructed before by the complex interval graph method (CIM) of WinQTLcart 2.5 software under two environments.The results showed that a total of 11 putative QTLs for plant height were detected under two environments,each of them explained 1.17%-10.45% of phenotypic variation.In linkage group A10,one major QTL(qPH-X-A10 or qPH-W-A10) was identified under two environments repeatedly,explaining 10.24%-10.45% of the phenotypic variation.We collected 156 genes associated with the plant height of Arabidopsis thaliana and then searched the genomic region corresponding to the major QTL confidence interval to screen the possible candidate genes in B.napus.Two candidate genes,BnaA10g07740D and BnaA10g12020D,associated with plant height were founded.They had three ortholcgous genes ATGA20ox2,GA5/ATGA20ox1 and STA1,all involving in plant height differentiation of A.thaliana.

关键词

甘蓝型油菜/株高/QTL定位/候选基因

Key words

Brassica napus/plant height/QTL mapping/candidate genes

分类

农业科技

引用本文复制引用

姜成红,耿鑫鑫,魏文辉,姜慧芳..甘蓝型油菜株高QTL定位及主效QTL区间候选基因预测[J].河南农业科学,2017,46(8):27-31,5.

基金项目

国家自然科学基金项目(31371664) (31371664)

武汉市科技攻关计划项目(2013020501010174) (2013020501010174)

中央级公益性科研院所基本科研业务费专项资金项目(1610172012001) (1610172012001)

河南农业科学

OA北大核心CSCDCSTPCD

1004-3268

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