Evidence map›Paper›PMID 41290716›Full record

ArticleNature communications2025

Spatial segregation and cross-kingdom interactions drive stingless bee hive microbiome assembly.

Lílian Caesar, Carlin Barksdale, Victor Hugo Valiati, Irene Newton

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
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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.

Lílian CaesarDepartment of Biology, Indiana University, Bloomington, IN, USA. lcaesar@iu.edu.ORCID http://orcid.org/0000-0002-9527-9125
Carlin BarksdaleDepartment of Biology, Indiana University, Bloomington, IN, USA.
Victor Hugo ValiatiLaboratory of Genetics and Molecular Biology, University of Vale do Rio dos Sinos, São Leopoldo, Rio Grande do Sul, Brazil.ORCID http://orcid.org/0000-0002-4467-4547
Irene NewtonDepartment of Biology, Indiana University, Bloomington, IN, USA. irnewton@iu.edu.ORCID http://orcid.org/0000-0002-7118-0374

Funding

National Science Foundation (NSF) 2005306National Science Foundation (NSF) 2022049
6 · The paper itself

Abstract

Studying host-associated microbiome assembly is key to understanding microbial and host evolution and health. While honey bee microbiome have been a central model for such investigations among pollinators, they overlook the diversity of eusocial dynamics and multi-kingdom interactions. Stingless bees-a diverse group of highly eusocial insects that includes managed species, varies in colony biology, and harbors a symbiotic yeast essential for larval development in at least one species-offer a valuable complementary system to study microbiome assembly under an eco-evolutionary context. Using amplicon sequencing, metagenomics, and microbial experiments, we investigate the drivers of microbiome assembly in stingless bee colonies. We reveal a spatially structured, site-adapted microbiome, where high microbial influx hive components are segregated from the brood, which harbors a stable, multi-kingdom community. We show that the brood microbiome is not only physically protected but also maintained through selective bacterial-fungal interactions and abiotic conditions shaped by bees and their symbionts, such as temperature and pH. Our findings uncover multi-layered mechanisms shaping eusocial superorganism microbiomes, from host biology to cross-kingdom interactions, while providing critical insights into microbiome maintenance of important pollinators.

Indexed as

MicrobiotaAnimalsBacteriaBeesFungiHydrogen-Ion ConcentrationMetagenomicsPollinationSymbiosis

Identifiers

PMID41290716
PMCPMC12749006

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.