Development of New Candidate Gene and EST-Based Molecular Markers for Gossypium Species.

International journal of plant genomics Pub Date : 2011-01-01 Epub Date: 2012-01-17 DOI:10.1155/2011/894598
Ramesh Buyyarapu, Ramesh V Kantety, John Z Yu, Sukumar Saha, Govind C Sharma
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引用次数: 11

Abstract

New source of molecular markers accelerate the efforts in improving cotton fiber traits and aid in developing high-density integrated genetic maps. We developed new markers based on candidate genes and G. arboreum EST sequences that were used for polymorphism detection followed by genetic and physical mapping. Nineteen gene-based markers were surveyed for polymorphism detection in 26 Gossypium species. Cluster analysis generated a phylogenetic tree with four major sub-clusters for 23 species while three species branched out individually. CAP method enhanced the rate of polymorphism of candidate gene-based markers between G. hirsutum and G. barbadense. Two hundred A-genome based SSR markers were designed after datamining of G. arboreum EST sequences (Mississippi Gossypium arboreum  EST-SSR: MGAES). Over 70% of MGAES markers successfully produced amplicons while 65 of them demonstrated polymorphism between the parents of G. hirsutum and G. barbadense RIL population and formed 14 linkage groups. Chromosomal localization of both candidate gene-based and MGAES markers was assisted by euploid and hypoaneuploid CS-B analysis. Gene-based and MGAES markers were highly informative as they were designed from candidate genes and fiber transcriptome with a potential to be integrated into the existing cotton genetic and physical maps.

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棉属植物新候选基因及est分子标记的开发。
分子标记的新来源加速了棉纤维性状改良的努力,有助于开发高密度的综合遗传图谱。我们基于候选基因和木本植物EST序列开发了新的标记,用于多态性检测,然后进行遗传和物理定位。对26种棉属植物的19个基因标记进行多态性检测。聚类分析得到23个物种的系统发育树,有4个主要的子聚类,3个单独分支。CAP方法提高了毛竹与巴氏毛竹候选基因标记的多态性率。对木棉EST序列进行数据挖掘(Mississippi Gossypium arboreum EST-SSR: MGAES),设计了200个基于a基因组的SSR标记。超过70%的MGAES标记成功扩增,其中65个标记在G. hirsutum和G. barbadense RIL群体亲本之间表现出多态性,形成14个连锁群。利用整倍体和次非整倍体CS-B分析辅助候选基因标记和MGAES标记的染色体定位。基因标记和MGAES标记是根据候选基因和纤维转录组设计的,具有很高的信息性,有可能整合到现有的棉花遗传和物理图谱中。
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