Authoritative subspecies diagnosis tool for European honey bees based on ancestry informative SNPs.

ABSTRACT:

Background

With numerous endemic subspecies representing four of its five evolutionary lineages, Europe holds a large fraction of Apis mellifera genetic diversity. This diversity and the natural distribution range have been altered by anthropogenic factors. The conservation of this natural heritage relies on the availability of accurate tools for subspecies diagnosis. Based on pool-sequence data from 2145 worker bees representing 22 populations sampled across Europe, we employed two highly discriminative approaches (PCA and F_ST) to select the most informative SNPs for ancestry inference.

Results

Using a supervised machine learning (ML) approach and a set of 3896 genotyped individuals, we could show that the 4094 selected single nucleotide polymorphisms (SNPs) prov

SUBMITTER: Momeni J 

PROVIDER: S-EPMC7860026 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature