Evidence map›Paper›PMID 39470737›Full record

ArticleNucleic acids research2025

BacDive in 2025: the core database for prokaryotic strain data.

Isabel Schober, Julia Koblitz, Joaquim Sardà Carbasse, Christian Ebeling, Marvin Leon Schmidt, Adam Podstawka, Rohit Gupta, Vinodh Ilangovan, Javad Chamanara, Jörg Overmann and 1 more

Abstract read
In one paragraph

Article in Nucleic acids research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 79 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
79citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

79 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  18. International journal of systematic and evolutionary microbiology · 2026
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19 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Isabel SchoberLeibniz Institute DSMZ - German Collection of Microorganisms and Cell Cultures, Braunschweig, Germany.ORCID 0000-0002-4894-1913
Julia KoblitzLeibniz Institute DSMZ - German Collection of Microorganisms and Cell Cultures, Braunschweig, Germany.ORCID 0000-0002-7260-2129
Joaquim Sardà CarbasseLeibniz Institute DSMZ - German Collection of Microorganisms and Cell Cultures, Braunschweig, Germany.
Christian EbelingLeibniz Institute DSMZ - German Collection of Microorganisms and Cell Cultures, Braunschweig, Germany.
Marvin Leon SchmidtLeibniz Institute DSMZ - German Collection of Microorganisms and Cell Cultures, Braunschweig, Germany.
Adam PodstawkaLeibniz Institute DSMZ - German Collection of Microorganisms and Cell Cultures, Braunschweig, Germany.
Rohit GuptaGerman National Library of Science and Technology (TIB) - Leibniz Information Centre for Science and Technology - University Library, Hannover, Germany.
Vinodh IlangovanGerman National Library of Science and Technology (TIB) - Leibniz Information Centre for Science and Technology - University Library, Hannover, Germany.
Javad ChamanaraGerman National Library of Science and Technology (TIB) - Leibniz Information Centre for Science and Technology - University Library, Hannover, Germany.
Jörg OvermannLeibniz Institute DSMZ - German Collection of Microorganisms and Cell Cultures, Braunschweig, Germany.
Lorenz Christian ReimerLeibniz Institute DSMZ - German Collection of Microorganisms and Cell Cultures, Braunschweig, Germany.ORCID 0000-0002-7805-0660

Funding

Deutsche Forschungsgemeinschaft 442032008DZIF 8005512901Federal Ministry of Education and Research 021A539CLeibniz Association K280/2019
6 · The paper itself

Abstract

In 2025, the bacterial diversity database BacDive is the leading database for strain-level bacterial and archaeal information. It has been selected as an ELIXIR Core Data Resource as well as a Global Core Biodata Resource. Since its initial release more than ten years ago, BacDive (https://bacdive.dsmz.de) has grown tremendously in content and functionalities, and is a comprehensive resource covering the phenotypic diversity of prokaryotes with data on taxonomy, morphology, physiology, cultivation, and more. The current release (2023.2) contains 2.6 million data points on 97 334 strains, reflecting an increase by 52% since the previous publication in 2021. This remarkable growth can largely be attributed to the integration of the world-wide largest collection of Analytical Profile Index (API) test results, which are now fully integrated into the database and searchable. A novel BacDive knowledge graph provides powerful search options through a SPARQL endpoint, including the possibility for federated searches across multiple data sources. The high-quality data provided by BacDive is increasingly being used for the training of artificial intelligence models and resulting genome-based predictions with high confidence are now used to fill content gaps in the database.

Indexed as

ArchaeaBacteriaDatabases, GeneticGenome, ArchaealGenome, BacterialSoftware

Identifiers

PMID39470737
PMCPMC11701647

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.