雪松根腐病病原体 Pythium cedri Chen 4 的基因组序列数据草案

IF 1 Q3 MULTIDISCIPLINARY SCIENCES
Jin-Feng Peng , Yusufjon Gafforov , Jian Yu , Hong-Jun Yang , Yuan-Yuan Chen , Yi-Fan Xing , Jia-Jia Chen
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引用次数: 0

摘要

Pythium 菌种分布在全球各地,其中某些成员作为植物和动物病原体发挥着重要作用。Pythium cedri Chen 4 已被鉴定为导致雪松根腐病的致病分离株。本文利用 Illumina NovaSeq 测序平台和 Pacific Biosciences Sequel 测序平台对 P. cedri 株 Chen 4 进行了全面的全基因组测序。Cedri 菌株 Chen 4 的基因组被组装成 150 个等位组,总大小为 41.25 Mb,N50 值为 1,717,859 bp,N90 值为 431,829 bp。基因组注释发现了 14,077 个编码蛋白质的基因,1016 个预测蛋白质中有 364 个是假定的效应蛋白。本研究丰富了 P. cedri 的遗传资源,有助于研究其进化,并有助于更好地理解 P. cedri 与宿主的相互作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Draft genome sequence data of Pythium cedri Chen 4, the causal pathogen of deodar cedar root rot

Pythium species are distributed globally, with certain members playing significant roles as plant and animal pathogens. Pythium cedri Chen 4 has been identified as a pathogenic isolate responsible for causing root rot on Cedrus deodara. Here, a comprehensive genome-wide sequence of P. cedri strain Chen 4 utilizing the Illumina NovaSeq sequencing platform and a Pacific Biosciences Sequel sequencing platform is presented. The genome of P. cedri strain Chen 4 was assembled into 150 contigs containing a combined size of 41.25 Mb, N50 value of 1,717,859 bp and N90 value of 431,829 bp. Genome annotation revealed 14,077 protein-encoding genes and 364 of the 1016 predicted proteins were putative effectors. The present work enriches the genetic resources of P. cedri for studying its evolution and can contribute to a better understanding of P. cedri–host interaction.

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来源期刊
Data in Brief
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.
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