BacDive

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Short description: Online database for bacteria
BacDive
BacDive logo.png
Content
Descriptioninformation about bacterial and archaeal strains
Data types
captured		metadata
Contact
Research centreLeibniz Institute DSMZ - German Collection of Microorganisms and Cell Cultures GmbH
Primary citationPMID 34718743
Release date2012
Access
Websitehttp://bacdive.dsmz.de/
Web service URLhttps://api.bacdive.dsmz.de/

BacDive (the Bacterial Diversity Metadatabase) is a bacterial metadatabase that provides strain-linked information about bacterial and archaeal biodiversity.

Introduction

BacDive is a resource for different kind of metadata like taxonomy, morphology, physiology, environment and molecular-biology. [1][2][3][4][5][6][7][8] The majority of data is manually annotated and curated. With the release in December 2022 BacDive offers information for 93,254 strains, including 19,313 type strains. The database is hosted by the Leibniz Institute DSMZ - German Collection of Microorganisms and Cell Cultures GmbH and is part of de.NBI the German Network for Bioinformatics Infrastructure, as well as Elixir the European Network for Bioinformatics. In December 2022 BacDive was selected by the Global Biodata Coalition as a Global Core Biodata Resource (GCBR). GCBRs are considered critical data resources for the global research endeavour in life sciences and biomedicine.

Content and Features

Database

The December release of the database encompassed over 1000 different data fields, divided into the categories "Name and taxonomic classification", "Morphology", "Culture and growth conditions,"Physiology and metabolism", "Isolation, sampling and environmental information." "Safety information", "Sequence information" and "Strain availability". The database comprised 1,922,166 entries, linked to the according strain and reference.[9] The data are retrieved from internal descriptions of culture collections, expert-compiled compendia and primary scientific literature like species descriptions.

Data access

Data can be accessed either via a GUI or via the RESTful web service. Using the GUI the user can choose between a simple search for searching strains by name, Culture collection number, NCBI Tax ID or INSDC sequence accession number, or the user can use the advanced search, which enables the search in 130 data fields and gives the opportunity of complex queries by combining several fields. Data can be downloaded in PDF format (for single strains) or in CSV format for larger data sets (for multiple strains). Via the RESTful web service portal BacDive content can be accessed automatically (a free registration is needed).To support the use of the API, software clients in Python and R are available.

Other databases

For data that are outside the focus of BacDive, links to other databases are provided that deliver strain-associated data:

References

  1. ↑ Söhngen, C; Boyke, B; Podstawka, A; Gleim, D; Overmann, J (October 13, 2013). "BacDive - The Bacterial Diversity Metadatabase". Nucleic Acids Research 42 (Database issue): D592–D599. doi:10.1093/nar/gkt1058. PMID 24214959. 
  2. ↑ Fernández-Suárez, X. M.; Rigden, D. J.; Galperin, M. Y. (December 5, 2013). "The 2014 Nucleic Acids Research Database Issue and an updated NAR online Molecular Biology Database Collection". Nucleic Acids Research 42 (Database issue): D1–D6. doi:10.1093/nar/gkt1282. PMID 24316579. 
  3. ↑ Cohan lab (October 23, 2015). "DSMZ's BacDive Bacterial Diversity Database". http://cohanlab.research.wesleyan.edu/2015/10/23/dsmzs-bacdive-bacterial-diversity-database/. 
  4. ↑ Abu-Jamous, Basel; Fa, Rui; Nandi, Asoke K. (2015). Integrative Cluster Analysis in Bioinformatics. John Wiley & Sons. pp. 448. ISBN 9781118906552. https://books.google.com/books?id=5XBuCAAAQBAJ&q=Bacdive&pg=PA77. 
  5. ↑ Zhulin, I. B. (August 1, 2015). "Databases for Microbiologists". Journal of Bacteriology 197 (15): 2458–2467. doi:10.1128/JB.00330-15. PMID 26013493. 
  6. ↑ Söhngen, C; Podstawka, A; Boyke, B; Gleim, D; Vetcininova, A; Reimer, LC; Ebeling, C; Pendarovski, C et al. (September 30, 2015). "BacDive - The Bacterial Diversity Metadatabase in 2016". Nucleic Acids Research 44 (Database issue): D581–D585. doi:10.1093/nar/gkv983. PMID 26424852. 
  7. ↑ Reimer, LC; Vetcininova, A; Sardà Carbasse, J; Söhngen, C; Gleim, D; Ebeling, C; Overmann, J (September 17, 2018). "BacDive in 2019: bacterial phenotypic data for High-throughput biodiversity analysis". Nucleic Acids Research 47 (Database issue): D631–D636. doi:10.1093/nar/gky879. PMID 30256983. 
  8. ↑ Reimer, LC; Sardà Carbasse, J; Koblitz, J; Ebeling, C; Podstawka, A; Overmann, J (January 7, 2022). "BacDive in 2022: the knowledge base for standardized bacterial and archaeal data". Nucleic Acids Research 50 (Database issue): D741–D746. doi:10.1093/nar/gkab961. PMID 34718743. 
  9. ↑ "DSMZ's BacDive Bacterial Diversity Database". December 22, 2022. https://bacdive.dsmz.de/. 

External links



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