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推出 EzBioCloud:一个统一分类学的 16S rRNA 基因序列和全基因组组装数据库。

Introducing EzBioCloud: a taxonomically united database of 16S rRNA gene sequences and whole-genome assemblies.

机构信息

Department of ChunLab, Inc, Seoul National University, Seoul, Republic of Korea.

出版信息

Int J Syst Evol Microbiol. 2017 May;67(5):1613-1617. doi: 10.1099/ijsem.0.001755. Epub 2017 May 30.


DOI:10.1099/ijsem.0.001755
PMID:28005526
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5563544/
Abstract

The recent advent of DNA sequencing technologies facilitates the use of genome sequencing data that provide means for more informative and precise classification and identification of members of the Bacteria and Archaea. Because the current species definition is based on the comparison of genome sequences between type and other strains in a given species, building a genome database with correct taxonomic information is of paramount need to enhance our efforts in exploring prokaryotic diversity and discovering novel species as well as for routine identifications. Here we introduce an integrated database, called EzBioCloud, that holds the taxonomic hierarchy of the Bacteria and Archaea, which is represented by quality-controlled 16S rRNA gene and genome sequences. Whole-genome assemblies in the NCBI Assembly Database were screened for low quality and subjected to a composite identification bioinformatics pipeline that employs gene-based searches followed by the calculation of average nucleotide identity. As a result, the database is made of 61 700 species/phylotypes, including 13 132 with validly published names, and 62 362 whole-genome assemblies that were identified taxonomically at the genus, species and subspecies levels. Genomic properties, such as genome size and DNA G+C content, and the occurrence in human microbiome data were calculated for each genus or higher taxa. This united database of taxonomy, 16S rRNA gene and genome sequences, with accompanying bioinformatics tools, should accelerate genome-based classification and identification of members of the Bacteria and Archaea. The database and related search tools are available at www.ezbiocloud.net/.

摘要

最近 DNA 测序技术的出现,使得人们可以利用基因组测序数据,为细菌和古菌的更具信息性和更精确的分类和鉴定提供手段。由于当前的物种定义是基于在给定物种的模式株和其他菌株之间的基因组序列比较,因此构建具有正确分类学信息的基因组数据库对于增强我们探索原核生物多样性和发现新物种以及进行常规鉴定的努力至关重要。在这里,我们介绍了一个名为 EzBioCloud 的综合数据库,它包含了细菌和古菌的分类层次结构,由经过质量控制的 16S rRNA 基因和基因组序列表示。NCBI 组装数据库中的全基因组组装被筛选出低质量,并通过基于基因的搜索和平均核苷酸同一性的计算的综合鉴定生物信息学管道进行鉴定。结果,该数据库由 61700 个种/类群组成,其中包括 13132 个具有有效发表名称的种/类群,以及 62362 个在属、种和亚种水平上进行了分类学鉴定的全基因组组装。为每个属或更高分类群计算了基因组大小和 DNA G+C 含量等基因组特性,以及在人类微生物组数据中的出现情况。这个具有分类学、16S rRNA 基因和基因组序列的综合数据库,以及配套的生物信息学工具,应该加速基于基因组的细菌和古菌分类和鉴定。该数据库和相关搜索工具可在 www.ezbiocloud.net/ 上获得。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/294d/5563544/39cd0bce6950/ijsem-67-1613-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/294d/5563544/51badecb3de3/ijsem-67-1613-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/294d/5563544/39cd0bce6950/ijsem-67-1613-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/294d/5563544/51badecb3de3/ijsem-67-1613-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/294d/5563544/39cd0bce6950/ijsem-67-1613-g002.jpg

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本文引用的文献

[1]
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Int J Syst Evol Microbiol. 2016-2

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Nucleic Acids Res. 2013-11-27

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Nat Biotechnol. 2013-8-25

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