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香蕉抗病基因数据库:一个关于香蕉属植物抗病基因的在线综合数据库

MusaRgeneDB: an online comprehensive database for disease resistance genes in spp.

作者信息

Anuradha Chelliah, Chandrasekar Arumugam, Backiyarani Suthanthiram, Uma Subbaraya

机构信息

ICAR-National Research Centre for Banana, Thogamalai Road, Thayanur Post, Tiruchirappalli, Tamil Nadu 620 102 India.

出版信息

3 Biotech. 2022 Sep;12(9):222. doi: 10.1007/s13205-022-03285-1. Epub 2022 Aug 12.

DOI:10.1007/s13205-022-03285-1
PMID:35971335
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9374869/
Abstract

Banana is one of the major food crops and its production is subject to many pests and diseases. Banana breeding exploits wild relatives and progenitor species for the introgression of resistant genes (R) into cultivated varieties to overcome these hurdles. With advances in sequencing technologies, whole-genome sequences are available for many spp. and many of them are potential donors of disease resistance genes. Considering their potential role, R genes from these species were explored to develop an user-friendly open-access database that will be useful for studying and implementing disease resistance in bananas. MusaRgene database is complemented with complete details of 3598 R genes identified from eight spp. and rice, , sorghum along with its classification and separate modules on its expression under various stresses in resistant and susceptible cultivars and corresponding SSRs are also provided. This database can be regarded as the primary resource of information on R genes from bananas and their relatives. R genes from other allele mining studies are also incorporated which will enable the identification of its homolog in related spp. MusaRgene database will aid in the identification of genes and markers associated, cloning of full-length R genes, and genetic transformation or gene editing of the R genes in susceptible cultivars. Multiple R genes can also be identified for pyramiding the genes to increase the level of resistance and durability. Overall, this database will facilitate the understanding of defense mechanisms in bananas against biotic or abiotic stresses leading to the development of promising disease-resistant varieties.

摘要

香蕉是主要粮食作物之一,其生产受到多种病虫害的影响。香蕉育种利用野生近缘种和原始种,将抗性基因(R)导入栽培品种以克服这些障碍。随着测序技术的进步,许多物种都有了全基因组序列,其中许多是抗病基因的潜在供体。考虑到它们的潜在作用,人们探索了这些物种的R基因,以开发一个用户友好的开放获取数据库,该数据库将有助于研究和实现香蕉的抗病性。MusaRgene数据库补充了从8个物种以及水稻、高粱中鉴定出的3598个R基因的完整详细信息,以及其分类和在抗性和感病品种各种胁迫下的表达的单独模块,还提供了相应的SSR。该数据库可被视为香蕉及其近缘种R基因信息的主要资源。其他等位基因挖掘研究中的R基因也被纳入,这将有助于在相关物种中鉴定其同源基因。MusaRgene数据库将有助于鉴定相关基因和标记、克隆全长R基因,以及对感病品种中的R基因进行遗传转化或基因编辑。还可以鉴定多个R基因进行基因聚合,以提高抗性水平和持久性。总体而言,该数据库将有助于理解香蕉对生物或非生物胁迫的防御机制,从而培育出有前景的抗病品种。

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引用本文的文献

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Harnessing Genome Editing Techniques to Engineer Disease Resistance in Plants.利用基因组编辑技术培育植物抗病性
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MusatransSSRDB (a transcriptome derived SSR database) - An advanced tool for banana improvement.MusatransSSRDB(一个转录组衍生的SSR数据库)——香蕉改良的先进工具。
J Biosci. 2019 Mar;44(1).
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PRGdb 3.0: a comprehensive platform for prediction and analysis of plant disease resistance genes.PRGdb 3.0:一个用于植物抗病基因预测和分析的综合性平台。
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