Evidence map›Paper›PMID 41775798›Full record

ArticleScientific reports2026

Metagenomic and gene expression patterns in declining commercial honey bee colonies.

Anthony Nearman, Zachary S Lamas, Elina L Niño, Julia Fine, Christopher Mayack, Arathi Seshadri, Dawn Boncristiani, Wei-Fone Huang, Jay D Evans, Yan Ping Chen

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

10 authors.

Anthony NearmanUSDA-ARS Bee Research Lab, BARC-East Bldg. 306, Beltsville, MD, 20705, USA. anthony.j.nearman@gmail.com.ORCID http://orcid.org/0000-0002-6498-3275
Zachary S LamasUSDA-ARS Bee Research Lab, BARC-East Bldg. 306, Beltsville, MD, 20705, USA.ORCID http://orcid.org/0000-0003-2208-1887
Elina L NiñoDepartment of Entomology and Nematology, University of California Davis, One Shields Avenue, Davis, CA, 95616, USA.
Julia FineInvasive Species and Pollinator Health Research Unit, USDA-ARS, 3026 Bee Biology Rd, Davis, CA, 95616, USA.
Christopher MayackDepartment of Biology, William Paterson University, Wayne, NJ, 07470, USA.
Arathi SeshadriUSDA-ARS, Pollinator Health in Southern Crops Ecosystems Research Unit, Stoneville, MS, 38776, USA.
Dawn BoncristianiUSDA-ARS Bee Research Lab, BARC-East Bldg. 306, Beltsville, MD, 20705, USA.
Wei-Fone HuangSchool of Agriculture and Natural Resources, Kentucky State University, 400 E. Main St, Frankfort, KY, 40601, USA.
Jay D EvansUSDA-ARS Bee Research Lab, BARC-East Bldg. 306, Beltsville, MD, 20705, USA.
Yan Ping ChenUSDA-ARS Bee Research Lab, BARC-East Bldg. 306, Beltsville, MD, 20705, USA.

Funding

Animal and Plant Health Inspection Service 8130-0960Farm Service Agency FSA25IRA0012292
6 · The paper itself

Abstract

Managed honey bee colonies (Apis mellifera) in the US continue to experience high overwinter loss rates driven by parasites, pathogens, poor nutrition, and pesticides. To mitigate these losses, inspection and monitoring are critical for identifying traits of colonies in decline and potential causal factors. In this study, we apply molecular methods to associate potential causative agents with colonies in various stages of decline. Initially, we investigated in-hive bee metagenomic RNA isolated from 15 colonies across seven managed operations in California whose adult bee and brood populations were classified as Strong, Medium, or Weak in strength. We discovered that Weak colonies harbored 2.2- and 3.6- fold more viral species than Medium and Strong colonies, respectively, as well as larger viral read pools despite similar library sizes. They also displayed higher nucleotide variation in Varroa-vectored viruses, indicating associations with high mite populations. When investigating differences in host gene expression, we discovered an upregulation of immune-related pathways in Weak colonies relative to Strong. Specifically, Weak colonies upregulated genes related to wound healing, phagocytosis, oxidative stress resistance, apoptosis, and RNA interference. Most antimicrobial peptides were upregulated in Weak colonies, although defensin1 was significantly higher in Strong colonies, along with several detoxification enzymes and the royal jelly peptide apisimin. Weak colonies also showed an upregulation of transcripts tied to abnormal protein digestion. The low levels of viral replication and fewer species of mite-vectored viruses in Strong colonies may be due to successful Varroa management. Strong colonies also displayed upregulated levels of nine different ubiquinone transcripts, arguably reflecting increasing longevity or a younger in-hive population compared to Weak colonies. Overall, these results provide a detailed account of viral metagenomics and associated host responses, providing new insights into the mechanisms underlying honey bee colony decline under comparable management conditions.

Indexed as

Colony CollapseMetagenomeMetagenomicsAnimalsBeesCaliforniaGene Expression ProfilingGene Expression RegulationVarroidaeAgricultureGene expressionMetagenomicsPollinationRNA-sequencingVirus

Identifiers

PMID41775798
PMCPMC13061895

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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.