Evidence map›Paper›PMID 41038510›Full record

ArticleJournal of advanced research2026

Honey bee nutritranscriptomics reveals key insights towards precision nutrition.

Alexander McMenamin, Vincent Ricigliano

Abstract read
In one paragraph

Article in Journal of advanced research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

2 authors.

Alexander McMenaminUSDA-ARS Honey Bee Breeding, Genetics, and Physiology Research Unit, Baton Rouge, LA 70820, United States.
Vincent RiciglianoUSDA-ARS Pollinator Health Unit, Davis, CA 95616, United States. Electronic address: Vincent.ricigliano@usda.gov.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionHoney bees are essential managed pollinators faced by nutritional deficiencies which contributes to worldwide colony losses. The integration of nutrition science with genomics offers a powerful approach to optimize honey bee health by augmenting immune function and resilience to stressors through precision diet interventions.

objectivesTo uncover the impact of honey bee genetics on core physiological responses to natural and artificial diets.

methodsTwo honey bee genetic backgrounds (Russian and Pol-line) were fed diets consisting of sugar, pollen, and microalgae biomass from either Chlorella vulgaris or spirulina. Nutrigenetic variation was assessed by body weight measurements followed by transcriptome sequencing. Standard differential gene expression analysis and supervised machine learning algorithms were used to measure genotype-specific transcriptional responses to the diets.

resultsKnown (i.e., vitellogenin and Jhe, hex70a) and novel (i.e., Glob1, slif and sad) biomarkers of nutritional health exhibited a significant genetics-by-diet interaction. Furthermore, Russian bees featured a contracted transcriptional response, and a transcriptomic signature of delayed behavioral maturation as compared to Pol-line bees, suggesting alternative nutrient assimilation strategies between the two genetic backgrounds. Regardless of diet, Russian bees had significantly lower abundance of a major viral pathogen (DWV). Lastly, higher expression of humoral and cellular immune genes was detected in microalgae-fed bees, though spirulina was significantly more immunogenic than Chlorella.

conclusionGenetic background plays a key role in shaping honey bee responses to nutrition. By identifying novel biomarkers of nutritional status, our results support the unique benefits of two microalgae species as functional feed additives. Furthermore, these results reveal the importance of genetics as a consideration when optimizing supplemental feed for an agricultural pollinator. These findings contribute towards the development of tailored nutrition strategies and artificial diets to improve honey bee health.

Indexed as

Animal Nutritional Physiological PhenomenaNutrigenomicsTranscriptomeAnimal FeedAnimalsBeesDietGene Expression ProfilingHoney beeMicroalgaeNutrigeneticsNutritionNutritranscriptomicsPrecision nutrition

Identifiers

PMID41038510
PMCPMC13227215

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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.