Genomic Insights into Uncapping Behavior in Varroa-Infested Brood Cells in Honeybee Workers

Genomic Insights into Uncapping Behavior in Varroa-Infested Brood Cells in Honeybee Workers | Authorea try { document.documentElement.classList.add('js'); } catch (e) { } var _gaq = _gaq || []; _gaq.push(['_setAccount', 'G-8VDV14Y67G']); _gaq.push(['_trackPageview']); (function() { var ga = document.createElement('script'); ga.type = 'text/javascript'; ga.async = true; ga.src = ('https:' == document.location.protocol ? 'https://ssl' : 'http://www') + '.google-analytics.com/ga.js'; var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(ga, s); })(); Skip to main content Preprints Collections Wiley Open Research IET Open Research Ecological Society of Japan All Collections About About Authorea FAQs Contact Us Quick Search anywhere Search for preprint articles, keywords, etc. Search Search ADVANCED SEARCH SCROLL This is a preprint and has not been peer reviewed. Data may be preliminary. 30 July 2025 V1 Latest version Share on Genomic Insights into Uncapping Behavior in Varroa-Infested Brood Cells in Honeybee Workers Authors : Peymaneh Davoodi 0000-0002-7037-2956 [email protected] and Mohammed Razmkabir Authors Info & Affiliations https://doi.org/10.22541/au.175391298.82612997/v1 164 views 112 downloads Contents Abstract Supplementary Material Information & Authors Metrics & Citations View Options References Figures Tables Media Share Abstract Uncapping behavior of Varroa-infested brood cells in worker honeybees serves as both a social response within colonies and a practical marker for selective breeding targeting Varroa destructor resistance. This study aimed to identify genomic variants influencing uncapping behavior quantified both continuously and binarily using the honeybee Affymetrix 44K low-quality SNP array and two genome-wide association study (GWAS) models: linear and logistic MLM-LOCO. Quantitative GWAS revealed seven significant single-nucleotide polymorphisms (SNPs) located on chromosomes 2, 4, 5, 7, 10, 12, and 14. The binary case-control GWAS identified a partially overlapping set of SNPs on chromosomes 1, 4, 6, 8, 12, 13, and 14. Three SNPs ( AMB-00037196 , AMB-00333896 , and AMB-00377381 ) were consistently detected across both analyses, reinforcing their utility as genomic markers for hygienic behavior. Candidate genes including LOC727092 , LOC408803 , and Cpr97Ea suggest involvement in transcriptional regulation, neurodevelopment, and cuticular function. Additional gene associations point to vesicle trafficking ( Tango , Vps13 ), cellular stress response ( Ask1 ), olfactory signaling ( Or19 ), and RNA processing ( Puf , TRNAL-AAG ), highlighting a coordinated molecular response underpinning behavioral resistance to Varroa mites. These findings underscore the polygenic nature of uncapping behavior and suggest that integrative GWAS frameworks can illuminate complex traits in honeybees. Although individual SNP contributions to phenotypic variance were modest (~1.5%), the results support the application of multi-locus models for future marker-assisted selection strategies to enhance colony resilience. Supplementary Material File (manuscript29-07-2025.docx) Download 1.99 MB Information & Authors Information Version history V1 Version 1 30 July 2025 Copyright This work is licensed under a Non Exclusive No Reuse License. Keywords gwas honeybees hygienic behavior varroa destructor Authors Affiliations Peymaneh Davoodi 0000-0002-7037-2956 [email protected] University of Kurdistan View all articles by this author Mohammed Razmkabir University of Kurdistan View all articles by this author Metrics & Citations Metrics Article Usage 164 views 112 downloads .FvxKWukQNSOunydq8rnd { width: 100px; } Citations Download citation Peymaneh Davoodi, Mohammed Razmkabir. Genomic Insights into Uncapping Behavior in Varroa-Infested Brood Cells in Honeybee Workers. Authorea . 30 July 2025. DOI: https://doi.org/10.22541/au.175391298.82612997/v1 If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download. For more information or tips please see 'Downloading to a citation manager' in the Help menu . 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