Evidence map›Paper›PMID 40996712›Full record

ArticleDatabase : the journal of biological databases and curation2025

StrainInfo-the central database for linked microbial strain identifiers.

Artur Lissin, Isabel Schober, Julius F Witte, Helko Lüken, Adam Podstawka, Julia Koblitz, Boyke Bunk, Peter Dawyndt, Peter Vandamme, Paul de Vos and 2 more

Abstract read
In one paragraph

Article in Database : the journal of biological databases and curation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. StrainInfo-the central database for linked microbial strain identifiers.Database : the journal of biological databases and curation · 2025
    Article
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

12 authors.

Artur LissinLeibniz Institute DSMZ-German Collection of Microorganisms and Cell Cultures, Inhoffenstraße 7B, 38124 Braunschweig, Germany.ORCID 0009-0007-3729-1533
Isabel SchoberLeibniz Institute DSMZ-German Collection of Microorganisms and Cell Cultures, Inhoffenstraße 7B, 38124 Braunschweig, Germany.ORCID 0000-0002-4894-1913
Julius F WitteLeibniz Institute DSMZ-German Collection of Microorganisms and Cell Cultures, Inhoffenstraße 7B, 38124 Braunschweig, Germany.ORCID 0009-0005-9790-9097
Helko LükenLeibniz Institute DSMZ-German Collection of Microorganisms and Cell Cultures, Inhoffenstraße 7B, 38124 Braunschweig, Germany.
Adam PodstawkaLeibniz Institute DSMZ-German Collection of Microorganisms and Cell Cultures, Inhoffenstraße 7B, 38124 Braunschweig, Germany.
Julia KoblitzLeibniz Institute DSMZ-German Collection of Microorganisms and Cell Cultures, Inhoffenstraße 7B, 38124 Braunschweig, Germany.ORCID 0000-0002-7260-2129
Boyke BunkLeibniz Institute DSMZ-German Collection of Microorganisms and Cell Cultures, Inhoffenstraße 7B, 38124 Braunschweig, Germany.
Peter DawyndtDepartment of Mathematics, Computer Science and Statistics, Faculty of Sciences, Ghent University, Krijgslaan 281 - S9, 9000 Ghent, Belgium.
Peter VandammeLaboratory of Microbiology, Department of Biochemistry and Microbiology, Faculty of Sciences, Ghent University, K. L. Ledeganckstraat 35, 9000 Ghent, Belgium.
Paul de VosLaboratory of Microbiology, Department of Biochemistry and Microbiology, Faculty of Sciences, Ghent University, K. L. Ledeganckstraat 35, 9000 Ghent, Belgium.
Jörg OvermannLeibniz Institute DSMZ-German Collection of Microorganisms and Cell Cultures, Inhoffenstraße 7B, 38124 Braunschweig, Germany.
Lorenz C ReimerLeibniz Institute DSMZ-German Collection of Microorganisms and Cell Cultures, Inhoffenstraße 7B, 38124 Braunschweig, Germany.ORCID 0000-0002-7805-0660

Funding

German Research Foundation 460129525
6 · The paper itself

Abstract

Throughout scientific literature and databases, microbial strains are often distinguished using either non-standardized designations or one of several available culture collection numbers. The fact that different sources use different strain identifiers to describe the same strain significantly impedes the findability, reusability, and integration of published information, and also affects the reproducibility of results. In order to ensure the traceability of microbial strains, the new StrainInfo database presented in this work was developed based on the defunct StrainInfo.net portal to re-establish and further develop this important service for the collection and matching of all existing identifiers of microbial strains. New data is collected, standardized, and integrated from culture collection catalogues, sequence databases as well as the scientific literature. A new interface provides easy access to the identifiers, their interrelations, associated information, as well as links to additional data. To improve and encourage the referencing and linking of microbial strain data, StrainInfo has introduced the Digital Object Identifier as a persistent identifier for strains. Database URL: https://straininfo.dsmz.de/.

Indexed as

BacteriaDatabases, Factual

Identifiers

PMID40996712
PMCPMC12462626

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.