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2019 年的 BacDive:用于高通量生物多样性分析的细菌表型数据。

BacDive in 2019: bacterial phenotypic data for High-throughput biodiversity analysis.

机构信息

Leibniz Institute DSMZ-German Collection of Microorganisms and Cell Cultures, Braunschweig, Germany.

出版信息

Nucleic Acids Res. 2019 Jan 8;47(D1):D631-D636. doi: 10.1093/nar/gky879.

Abstract

The bacterial metadatabase BacDive (http://bacdive.dsmz.de) has become a comprehensive resource for structured data on the taxonomy, morphology, physiology, cultivation, isolation and molecular data of prokaryotes. With its current release (7/2018) the database offers information for 63 669 bacterial and archaeal strains including 12 715 type strains. During recent developments of BacDive, the enrichment of information on existing strains was prioritized. This has resulted in a 146% increase of database content over the past three years. Especially rich datasets were integrated from 4782 manual annotated species descriptions in the International Journal of Systematic and Evolutionary Microbiology which yielded standardized phenotypic data for 5468 type strains. Another important improvement of content was achieved through the mobilization of 8977 Analytical Profile Index (API®) test results that constitute physiological data for the identification of 5237 strains. BacDive offers a unique API® data collection with respect to size and diversity. In addition, data on fatty acid profiles and antibiotic susceptibility tests were integrated. A revised graphical user interface and new search tools such as the API® test finder, the TAXplorer, or the Microbial Isolation Source Search significantly improve the user experience.

摘要

细菌元数据库 BacDive(http://bacdive.dsmz.de)已成为一个用于原核生物分类学、形态学、生理学、培养、分离和分子数据的结构化数据的综合资源。在其当前版本(2018 年 7 月)中,该数据库提供了 63669 株细菌和古菌菌株的信息,包括 12715 株模式菌株。在 BacDive 的最近开发过程中,优先考虑了现有菌株信息的丰富化。这使得数据库内容在过去三年中增加了 146%。特别是从《国际系统与进化微生物学杂志》中整合了 4782 个手动注释的物种描述,为 5468 株模式菌株提供了标准化的表型数据。内容的另一个重要改进是通过动员 8977 个分析性 Profile Index(API®)测试结果实现的,这些结果构成了 5237 株菌株鉴定的生理数据。BacDive 提供了具有规模和多样性的独特 API®数据集合。此外,还整合了脂肪酸图谱和抗生素药敏试验数据。经过修订的图形用户界面和新的搜索工具,如 API®测试查找器、TAXplorer 或微生物分离源搜索,显著改善了用户体验。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc6d/6323973/3d50d9c803c0/gky879fig1.jpg

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