首页> 外文会议>International Conference on Mathematics, Science, and Computer Science >In Silico Analysis of Cacao (Theobroma cacao L.) Genes that Involved in Pathogen and Disease Responses
【24h】

In Silico Analysis of Cacao (Theobroma cacao L.) Genes that Involved in Pathogen and Disease Responses

机译:在涉及病原体和疾病反应的可可(神悟的CacaO L.)基因中的硅藻分析

获取原文

摘要

Cocoa bean is one of the main commodities from Indonesia for the world, which still have problem regarding yield degradation due to pathogens and disease attack. Developing robust cacao plant that genetically resistant to pathogen and disease attack is an ideal solution in over taking on this problem. The aim of this study was to identify Theobroma cacao genes on database of cacao genome that homolog to response genes of pathogen and disease attack in other plant, through in silico analysis. Basic information survey and gene identification were performed in GenBank and The Arabidopsis Information Resource database. The In silico analysis contains protein BLAST, homology test of each gene's protein candidates, and identification of homologue gene in Cacao Genome Database using data source "Theobroma cacao cv. Matina 1-6 v1.1" genome. Identification found that Thecc1EG011959t1 (EDS1), Thecc1EG006803t1 (EDS5), Thecc1EG013842t1 (ICS1), and Thecc1EG015614t1 (BG_PPAP) gene of Cacao Genome Database were Theobroma cacao genes that homolog to plant's resistance genes which highly possible to have similar functions of each gene's homologue gene.
机译:可可豆是来自印度尼西亚世界的主要商品之一,由于病原体和疾病攻击,仍有关于产量降解的问题。发展稳健的可可植物,转基因病原体和疾病攻击是在接受这个问题的理想解决方案。本研究的目的是鉴定Cacao基因组数据库中的神经癌细胞基因,即其他植物的病原体和疾病发作的同源物,通过硅分析。基本信息调查和基因鉴定在Genbank和Arabidopsis信息资源数据库中进行。在硅分析中含有蛋白质爆炸,每个基因蛋白候选的同源性试验,以及使用数据源“CacroomaCacao CV的可可基因组数据库中同源基因的鉴定。Matina 1-6 V1.1”基因组。鉴定发现,可可解型的ThecC1EG011959T1(EDS1),ThecC1EG006803T1(EDS5),ThecC1EG013842T1(ICS1)和CacaO Genome数据库数据库的GenC1EG015614T1(BG_PPAP)基因是高度可能具有每个基因的同源基因的抗性基因的同源性可可基因。 。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号