基于元分析和生物信息学分析的玉米抗旱相关性状QTL一致性区间定位

doi:10.3724/SP.J.1006.2010.01457

作物学报 ›› 2010, Vol. 36 ›› Issue (09): 1457-1467.doi: 10.3724/SP.J.1006.2010.01457

• 作物遗传育种·种质资源·分子遗传学 • 上一篇下一篇

基于元分析和生物信息学分析的玉米抗旱相关性状QTL一致性区间定位

栗文娟^1,2,刘志斋^2,3,石云素²,宋燕春²,王天宇^2,*,徐辰武^1,*,黎裕²

¹扬州大学江苏省作物遗传生理重点实验室，江苏扬州225009；²中国农业科学院作物科学研究所，北京 100081；³西南大学农学院，重庆400716

收稿日期:2010-01-15 修回日期:2010-04-20 出版日期:2010-09-12 网络出版日期:2010-07-05
通讯作者: 王天宇, E-mail: wangtianyu@263.net; 徐辰武, E-mail: qtls@yzu.edu.cn
基金资助:
本研究由国家重点基础研究发展计划(973计划)项目(2006CB101700), 国家高技术研究发展计划(863计划)项目(2006AA10Z188)和国家自然科学基金项目(30730063, 30971846)资助。

Detection of Consensus Genomic Region of QTLs Relevant to Drought-Tolerance in Maize by QTL Meta-Analysis and Bioinformatics Approach

LI Wen-Juan^1,2,LIU Zhi-Zhai^2,3,SHI Yun-Su²,SONG Yan-Chun²,WANG Tian-Yu^2*,XU Chen-Wu^1*,LI Yu²

¹ Jiangsu Provincial Key Laboratory of Crop Genetics and Physiology, Yangzhou University, Yangzhou 225009, China; ²Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China; ³Southwest University, Chongqing 400716, China

Received:2010-01-15 Revised:2010-04-20 Published:2010-09-12 Published online:2010-07-05
Contact: WANG Tian-Yu,E-mail:wangtianyu@263.net; 徐辰武, E-mail: qtls@yzu.edu.cn

摘要/Abstract

摘要： 定位玉米基因组中一致的抗旱性区段是玉米抗旱分子育种的重要基础。本研究对至今发表的在干旱条件下定位的相关性状QTL信息搜集整理，以IBM2 2008 Neighbors为参考图谱，利用overview分析和元分析方法进行Meta-QTL (MQTL)检测，共发掘79个MQTL，生物信息学分析结果显示，有43个区间内包含抗旱相关基因信息，占检出MQTL总数的54.43%。基于MaizeGDB网站的Genome Browser中的遗传图谱与物理图谱的整合信息，进行MQTL物理距离的估算，根据maizesequence网站的玉米基因组序列信息，进行初步的抗旱基因预测表明，这些区段中包含丰富的MYB、bZIP以及DREB转录因子序列信息以及大量的LEA基因家族成员。

关键词: 玉米, 抗旱性, “一致性”QTL, 元分析, 生物信息学方法

Abstract: Mapping consensus genomic regions for drought-tolerance is of great importance in the molecular breeding of maize. The present research integrated informations of the published QTLs relevant to drought-tolerance mapped in the environment of water stress. On the basis of the high-density linkage map of IBM2 2008 Neighbors, a total of 79 Meta-QTLs (MQTLs) were screened out through the methods of “overview” and meta-analysis, and the bioinformatic analysis indicated that 43 of these MQTLs (54.43%) contained the information of genes conferring drought tolerance. By integrating the genetic map and the physical map of maize via Genome Brower in maize genome database (http://www.maizegdb.org/), we estimated the physical map distance of MQTLs and analyzed the function of these candidate drought tolerance-related genomic regions based on the maize genome sequence information from the maize sequence database (http://www.maizesequence.org/). The results showed that these regions contained abundant sequences of transcription factors of MYB, bZIP and DREB, and a number of functional genes of LEA family.

Key words: Maize(Zea mays L.), Drought tolerance, Meta-QTL, Meta-analysis, Bioinformatics approach

栗文娟,刘志斋,石云素,宋燕春,王天宇,徐辰武,黎裕. 基于元分析和生物信息学分析的玉米抗旱相关性状QTL一致性区间定位[J]. 作物学报, 2010, 36(09): 1457-1467.

LI Wen-Juan, LIU Zhi-Zhai, SHI Yun-Su, SONG Yan-Chun, WANG Tian-Yu, XU Chen-Wu, LI Yu. Detection of Consensus Genomic Region of QTLs Relevant to Drought-Tolerance in Maize by QTL Meta-Analysis and Bioinformatics Approach[J]. Acta Agron Sin, 2010, 36(09): 1457-1467.

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基于元分析和生物信息学分析的玉米抗旱相关性状QTL一致性区间定位

Detection of Consensus Genomic Region of QTLs Relevant to Drought-Tolerance in Maize by QTL Meta-Analysis and Bioinformatics Approach

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