Evaluation of Apis 
                     mellifera 
                     syriaca Levant region honeybee conservation using comparative genome hybridization

Background Honey bees are the principal commercial pollinators. Along with other arthropods, they are increasingly under threat from anthropogenic factors such as the incursion of invasive honey bee subspecies, pathogens and parasites. Better tools are needed to identify bee subspecies. Genomic data for economic and ecologically important organisms is increasing, but in its basic form its practical application to address ecological problems is limited. Results We introduce HBeeID a means to identify honey bees. The tool utilizes a knowledge-based network and diagnostic SNPs identified by discriminant analysis of principle components and hierarchical agglomerative clustering. Tests of HBeeID showed that it identifies African, Americas-Africanized, Asian, and European honey bees with a high degree of certainty even when samples lack the full 272 SNPs of HBeeID. Its prediction capacity decreases with highly admixed samples. Conclusion HBeeID is a high-resolution genomic, SNP based tool, that can be used to identify honey bees and screen species that are invasive. Its flexible design allows for future improvements via sample data additions from other localities.

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Evaluation of Apis mellifera syriaca Levant region honeybee conservation using comparative genome hybridization

Cited by 3 publications

References 18 publications

Beekeeping in Parts of the Levant Region

Beekeeping in Parts of the Levant Region

Phylogenetic Relationships among Honey Bee Subspecies Apis mellifera caucasia and Apis mellifera carpathica Based on the Sequences of the Mitochondrial Genome

HBeeID: a molecular tool that identifies honey bee subspecies from different geographic populations

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