ArticleBMC genomics2025
Multi-Genome-Wide association studies provide new insights into the genetic architecture of Varroa resistance in honeybees.
Article in BMC genomics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Leave-One-Chromosome-Out Association Testing Decodes Uncapping Behaviour in Honeybees During Varroa destructor Infestation.Veterinary medicine and science · 2026Article
- Simulation of CRISPR/Cas9-mediated gene editing for the Vitellogenin gene in Apis mellifera.Scientific reports · 2026Article
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Abstract
backgroundThe Varroa destructor represents one of the most significant global threats to honeybee colonies. Genome-wide association studies (GWAS) play a crucial role in identifying genetic markers associated with Varroa resistance in honeybees. Six scenarios of genome-wide association studies (additive, dominance, and epistatic for each case‒control and quantitative approach) were implemented to analyze SNP markers associated with hygienic behavior in worker bees.
resultsIn additive GWAS (case‒control), 10 SNPs were identified, whereas additive GWAS (quantitative) revealed 23 SNPs. For the dominance GWAS, 2 SNPs were found in the case‒control study, and 13 SNPs were found in the quantitative analysis. Moreover, the epistatic GWAS (case‒control) identified 10 paired SNPs, and the epistasis GWAS (quantitative) revealed 13 paired SNPs associated with uncapping behavior. These scenarios, along with some overlapping findings, highlighted unique SNPs. The results demonstrate that the type of data definition and genetic model used significantly influence the identification of SNPs associated with the uncapping trait. Additionally, combining multiple methods enhances SNP detection and provides deeper insights into the genetic architecture of Varroa resistance. The identified SNPs were distributed across the genome and presented distinct features from the perspective of minor allele frequency across different models. Furthermore, enrichment analysis revealed that genes related to these SNPs are predominantly involved in pathways related to the stress response and immunity.
conclusionsTogether, our research provides new insights into the genetics underlying varroa resistance in honeybees. By leveraging genomic data and different GWAS models, this study contributes significantly to the understanding of the genetic architecture of varroa resistance.
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