来自哈萨克斯坦的 Erwinia amilovora 菌株 E22 的全基因组序列数据

IF 1 Q3 MULTIDISCIPLINARY SCIENCES

Data in Brief Pub Date : 2024-10-28 DOI:10.1016/j.dib.2024.111090

Amankeldi Sadanov, Elvira Ismailova, Madina Alexyuk, Olga Shemshura, Gul Baimakhanova, Baiken Baimakhanova, Zere Turlybaeva, Assel Molzhigitova, Akmeiir Yelubayeva, Diana Tleubekova, Andrey Bogoyavlenskiy

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引用次数: 0

摘要

Erwinia amilovora 是玫瑰科植物细菌性枯萎病的病原体。这种病会影响该科的观赏植物和具有重要经济价值的果树，如苹果和梨。本研究在 Illumina MiSeq 平台上对在哈萨克斯坦分离到的 Erwinia amilovora 菌株 E22 进行了测序，随后使用 SPAdes、RAST、antiSMASH 和 CARD 程序和数据库进行了生物信息学处理和基因注释。组装的基因组大小为 3,799,623 bp。对 Erwinia amilovora 基因组的注释确定了 3462 个基因，包括 3251 个蛋白编码基因和 117 个 RNA 基因。该基因组将有助于进一步了解 Erwinia amilovora 的进化过程，并有助于获得防治药剂。

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Whole genome sequence data of Erwinia amilovora strain E22, from Kazakhstan

Erwinia amilovora is the causative agent of bacterial blight of rosaceae plants. The disease affects ornamental species of this family and fruit trees of great economic importance, such as apple and pear. In the presented research, sequencing of the Erwinia amilovora strain E22 isolated in Kazakhstan, was performed on the Illumina MiSeq platform, followed by bioinformatics processing and gene annotation using SPAdes, RAST, antiSMASH and CARD programs and databases. The size of the assembled genome is 3,799,623 bp. Annotation of the Erwinia amilovora genome assembly identified 3462 genes, including 3251 protein-coding genes and 117 RNA genes. This genome will be helpful to further understand the evolution of Erwinia amilovora and can be useful for obtaining control agents.

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来源期刊

Data in Brief MULTIDISCIPLINARY SCIENCES-

CiteScore

3.10

自引率

0.00%

发文量

996

审稿时长

70 days

期刊介绍： Data in Brief provides a way for researchers to easily share and reuse each other''s datasets by publishing data articles that: -Thoroughly describe your data, facilitating reproducibility. -Make your data, which is often buried in supplementary material, easier to find. -Increase traffic towards associated research articles and data, leading to more citations. -Open up doors for new collaborations. Because you never know what data will be useful to someone else, Data in Brief welcomes submissions that describe data from all research areas.