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

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 bacteria...

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Autores principales: Reimer, Lorenz Christian, Vetcininova, Anna, Carbasse, Joaquim Sardà, Söhngen, Carola, Gleim, Dorothea, Ebeling, Christian, Overmann, Jörg
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6323973/
https://www.ncbi.nlm.nih.gov/pubmed/30256983
http://dx.doi.org/10.1093/nar/gky879
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author Reimer, Lorenz Christian
Vetcininova, Anna
Carbasse, Joaquim Sardà
Söhngen, Carola
Gleim, Dorothea
Ebeling, Christian
Overmann, Jörg
author_facet Reimer, Lorenz Christian
Vetcininova, Anna
Carbasse, Joaquim Sardà
Söhngen, Carola
Gleim, Dorothea
Ebeling, Christian
Overmann, Jörg
author_sort Reimer, Lorenz Christian
collection PubMed
description 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.
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spelling pubmed-63239732019-01-10 BacDive in 2019: bacterial phenotypic data for High-throughput biodiversity analysis Reimer, Lorenz Christian Vetcininova, Anna Carbasse, Joaquim Sardà Söhngen, Carola Gleim, Dorothea Ebeling, Christian Overmann, Jörg Nucleic Acids Res Database Issue 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. Oxford University Press 2019-01-08 2018-09-26 /pmc/articles/PMC6323973/ /pubmed/30256983 http://dx.doi.org/10.1093/nar/gky879 Text en © The Author(s) 2018. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Database Issue
Reimer, Lorenz Christian
Vetcininova, Anna
Carbasse, Joaquim Sardà
Söhngen, Carola
Gleim, Dorothea
Ebeling, Christian
Overmann, Jörg
BacDive in 2019: bacterial phenotypic data for High-throughput biodiversity analysis
title BacDive in 2019: bacterial phenotypic data for High-throughput biodiversity analysis
title_full BacDive in 2019: bacterial phenotypic data for High-throughput biodiversity analysis
title_fullStr BacDive in 2019: bacterial phenotypic data for High-throughput biodiversity analysis
title_full_unstemmed BacDive in 2019: bacterial phenotypic data for High-throughput biodiversity analysis
title_short BacDive in 2019: bacterial phenotypic data for High-throughput biodiversity analysis
title_sort bacdive in 2019: bacterial phenotypic data for high-throughput biodiversity analysis
topic Database Issue
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6323973/
https://www.ncbi.nlm.nih.gov/pubmed/30256983
http://dx.doi.org/10.1093/nar/gky879
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