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

ABSTRACT:

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 be

SUBMITTER: Donthu R 

PROVIDER: S-EPMC11348773 | biostudies-literature | 2024 Aug

REPOSITORIES: biostudies-literature