Evidence map›Paper›PMID 40731321›Full record

ArticleBMC bioinformatics2025

The BeeBiome data portal provides easy access to bee microbiome information.

Valentine Rech de Laval, Benjamin Dainat, Philippe Engel, Marc Robinson-Rechavi

Abstract read
In one paragraph

Article in BMC bioinformatics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Valentine Rech de LavalDepartment of Ecology and Evolution, University of Lausanne, 1015, Lausanne, Switzerland.ORCID http://orcid.org/0000-0002-3020-1490
Benjamin DainatAgroscope, Swiss Bee Research Centre, Schwarzenburgstrasse 161, 3003, Bern, Switzerland.ORCID http://orcid.org/0000-0002-1740-7136
Philippe EngelDepartment of Fundamental Microbiology, University of Lausanne, 1015, Lausanne, Switzerland.ORCID http://orcid.org/0000-0002-4678-6200
Marc Robinson-RechaviDepartment of Ecology and Evolution, University of Lausanne, 1015, Lausanne, Switzerland. marc.robinson-rechavi@unil.ch.ORCID http://orcid.org/0000-0002-3437-3329

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bees can be colonized by a large diversity of microbes, including beneficial gut symbionts and detrimental pathogens, with implications for bee health. Over the last few years, researchers around the world have collected a huge amount of genomic and transcriptomic data about the composition, genomic content, and gene expression of bee-associated microbial communities. While each of these datasets by itself has provided important insights, the integration of such datasets provides an unprecedented opportunity to obtain a global picture of the microbes associated with bees and their link to bee health. The challenge of such an approach is that datasets are difficult to find within large generalist repositories and are often not readily accessible, which hinders integrative analyses. Here we present a publicly-available online resource, the BeeBiome data portal ( https://www.beebiome.org ), which provides an overview of and easy access to currently available metagenomic datasets involving bee-associated microbes. Currently the data portal contains 33,678 Sequence Read Archive (SRA) experiments for 278 Apoidea hosts. We present the content and functionalities of this portal. By providing access to all bee microbiomes in a single place, with easy filtering on relevant criteria, BeeBiome will allow faster progress of applied and fundamental research on bee biology and health. It should be a useful tool for researchers, academics, funding agencies, and governments, with beneficial impacts for stakeholders.

Indexed as

Databases, GeneticMicrobiotaAnimalsBeesMetagenomeMetagenomicsBeeDatabaseMetagenomicsMicrobiome

Identifiers

PMID40731321
PMCPMC12309204

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.