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

Q3 Agricultural and Biological Sciences
Wen-Juan LI , Zhi-Zhai LIU , Yun-Su SHI , Yan-Chun SONG , Tian-Yu WANG , Chen-Wu XU , Yu LI
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引用次数: 17

Abstract

Mapping consensus genomic regions for drought-tolerance is of great importance in molecular breeding of maize (Zea mays L.). This study aimed to integrate published quantitative trait loci (QTLs) relevant to drought tolerance under water stress that were identified in different experiments. Based on 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, of which 43 (54.4%) contained information of genes conferring drought tolerance according to bioinformatic analysis. By integrating the genetic map and the physical map of maize via Genome Brower in maize genome database (http://www.maizegdb.org/), the physical map distance of MQTLs was estimated and the function of these candidate drought tolerance-related genomic regions was analyzed based on sequence information from the maize sequence database (http://www.maizesequence.org/). The results showed that these regions contained abundant sequences of transcription factors such as MYB, bZIP and DREB, and a number of functional genes of LEA family.

利用QTL荟萃分析和生物信息学方法检测玉米抗旱性相关QTL的一致基因组区域
在玉米分子育种中,定位一致的耐旱性基因组区域具有重要意义。本研究旨在整合不同试验中已发表的与水分胁迫下抗旱性相关的数量性状位点(qtl)。基于IBM2 2008“邻居”的高密度连锁图谱,通过“总览”和荟萃分析的方法,共筛选出79个meta- qtl (mqtl),其中43个(54.4%)包含生物信息学分析的耐旱基因信息。利用玉米基因组数据库(http://www.maizegdb.org/)中的Genome browser整合玉米遗传图谱和物理图谱,估算mqtl的物理图谱距离,并根据玉米序列数据库(http://www.maizesequence.org/)中的序列信息分析这些候选抗旱相关基因组区域的功能。结果表明,这些区域含有丰富的MYB、bZIP和DREB等转录因子序列,以及LEA家族的一些功能基因。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
1.50
自引率
0.00%
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30 weeks
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