Evidence map›Paper›PMID 42813839›Full record

ArticleFEMS microbiology ecology2026

Variation in microbial and plant associations across wild bee families, functional groups, and urban environments.

Katherine D Chau, Trevor J L Sless, Phuong N Nguyen, Sandra M Rehan

Abstract read
In one paragraph

Article in FEMS microbiology ecology, 2026. 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.

Katherine D ChauDepartment of Biology, York University, Toronto, ON M3J 1P3, Canada.
Trevor J L SlessDepartment of Biology, York University, Toronto, ON M3J 1P3, Canada.
Phuong N NguyenDepartment of Biology, York University, Toronto, ON M3J 1P3, Canada.ORCID 0000-0002-7220-0402
Sandra M RehanDepartment of Biology, York University, Toronto, ON M3J 1P3, Canada.ORCID 0000-0001-7210-0316

Funding

Government of Canada's New Frontiers in Research Fund NFRFT-2020-00073NSERC
6 · The paper itself

Abstract

Bees harbour diverse microbiomes and floral associations, which may shift in response to several biological and environmental factors. We examined the diversity of bacterial, fungal, and plant associates (i.e. from foraging or nesting material) across 32 bee species from five families (Apidae, Megachilidae, Halictidae, Colletidae, and Andrenidae) using 16S rRNA, ITS1, and rbcL amplicon sequencing. The included bee species represent multiple axes of variation across functional traits including body size, nesting behaviour, sociality, diet, and native status, and response to urbanization. Apidae, Colletidae, and Andrenidae bee families had richer communities of bacterial and plant associates than Halictidae and Megachilidae, while fungal diversity and composition were similar across families. Common microbes and plant associations were detected across the bee community, but certain taxa were common only to specific bee species. Plant associations more often shifted significantly in diversity depending on functional trait and urban intensity, whereas bacterial and fungal diversity were largely consistent across bee families, functional traits, and urban intensities. Our findings show that while microbial communities are fairly stable across bee lineages and functional groups, bee-associated plant communities vary with urbanization and are the primary factor differentiating bee species in urban landscapes.

Indexed as

BacteriaFungiMicrobiotaPlantsAnimalsBeesBiodiversityCitiesRNA, Ribosomal, 16SUrbanizationRNA, Ribosomal, 16Sbacteriafungimicrobiomeplant associationsurbanizationwild bees

Identifiers

PMID42813839
PMCPMC13643926

What OpenQuestion holds

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Registered trials

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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.