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李属褐腐病知识的进一步发展:李属物种SSR标记数据库

One Step Forwards in Knowledge of Blossom Blight Brown Rot Disease: spp. SSR Marker Database.

作者信息

Antanynienė Raminta, Stanys Vidmantas, Frercks Birutė

机构信息

Lithuanian Research Centre for Agriculture and Forestry, Institute of Horticulture, Department of Orchard Plant Genetics and Biotechnology, Kaunas District, LT-54333 Babtai, Lithuania.

出版信息

Microorganisms. 2024 Mar 18;12(3):605. doi: 10.3390/microorganisms12030605.

Abstract

A freely available spp. marker database was created, containing microsatellite (SSR) data of the three most essential European fungal pathogens: , , and . These pathogens cause brown rot blossom blight. Microsatellites were identified using the bioinformatics tool Genome-wide Microsatellite Analyzing Toward Application (GMATA). The database provides information about SSR markers: forward and reverse sequences of the primers, fragment sizes, SSR motifs (and repeats), and the exact locations with the coordinates in the reference genome. This database currently contains information about 39,216 SSR motifs and 26,366 markers. In total, eight primers generated in silico were validated experimentally and they are marked in the database. All scientists can join this collaboration by adding their experimental data. This database is the initial start of organizing spp. molecular data worldwide and, in the future, it could be extended by adding more molecular and genomic information.

摘要

创建了一个免费的 spp. 标记数据库,其中包含三种最重要的欧洲真菌病原体: 、 和 的微卫星(SSR)数据。这些病原体导致褐腐花枯病。使用生物信息学工具全基因组微卫星分析应用(GMATA)鉴定微卫星。该数据库提供有关SSR标记的信息:引物的正向和反向序列、片段大小、SSR基序(和重复)以及参考基因组中具有坐标的精确位置。该数据库目前包含有关39,216个SSR基序和26,366个标记的信息。总共,通过实验验证了八条电子生成的引物,并在数据库中进行了标记。所有科学家都可以通过添加他们的实验数据来加入这项合作。该数据库是全球范围内组织 spp. 分子数据的初步开端,未来可以通过添加更多的分子和基因组信息进行扩展。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4b1/10975809/0af2b9b4d1bf/microorganisms-12-00605-g001.jpg

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