ArticlePloS one2015
Reduced SNP panels for genetic identification and introgression analysis in the dark honey bee (Apis mellifera mellifera).
Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.
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Who cites it
33 citing papers in PubMed.
- Biogeography from a food matrix: a temporal distribution map of Apis mellifera mitochondrial DNA lineages across Italy, obtained from honey samples.Scientific reports · 2026Article
- Country specific hybridization of honey bees from lineage M.GigaScience · 2026Article
- An XGBoost-Based Morphometric Classification System for Automatic Subspecies Identification ofInsects · 2025Article
- Assessing structure-function impacts on Vitellogenin by leveraging allelic variant found in honey bee subspeciesiScience · 2025Article
- COI Metabarcoding as a Novel Approach for Assessing the Honey Bee Source of European Honey.Foods (Basel, Switzerland) · 2025Article
- Accurate Detection ofEcology and evolution · 2024Article
- HBeeID: a molecular tool that identifies honey bee subspecies from different geographic populations.BMC bioinformatics · 2024Article
- snpAIMeR: R package for evaluating ancestry informative marker contributions in non-model population diagnostics.Bioinformatics (Oxford, England) · 2024Article
- Estimates of the vitality and performances ofPeerJ · 2024Article
- When One's Not Enough: Colony Pool-Seq Outperforms Individual-Based Methods for Assessing Introgression inInsects · 2023Article
- Using the Software DeepWings© to Classify Honey Bees across Europe through Wing Geometric Morphometrics.Insects · 2022Article
- A genotyping by sequencing approach can disclose Apis mellifera population genomic information contained in honey environmental DNA.Scientific reports · 2022Article
- Article
- Genetic verification of conservation measures of the gene pool of the Burzyan population of the dark forest honeybeeCanadian journal of veterinary research = Revue canadienne de recherche veterinaire · 2022Article
- Recapitulating whole genome based population genetic structure for Indian wild tigers through an ancestry informative marker panel.Heredity · 2022Article
- Thrice out of Asia and the adaptive radiation of the western honey bee.Science advances · 2021Article
- A SNP assay for assessing diversity in immune genes in the honey bee (Apis mellifera L.).Scientific reports · 2021Article
- Distribution of the MainInsects · 2021Article
- Authoritative subspecies diagnosis tool for European honey bees based on ancestry informative SNPs.BMC genomics · 2021Article
- Article
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Beekeeping activities, especially queen trading, have shaped the distribution of honey bee (Apis mellifera) subspecies in Europe, and have resulted in extensive introductions of two eastern European C-lineage subspecies (A. m. ligustica and A. m. carnica) into the native range of the M-lineage A. m. mellifera subspecies in Western Europe. As a consequence, replacement and gene flow between native and commercial populations have occurred at varying levels across western European populations. Genetic identification and introgression analysis using molecular markers is an important tool for management and conservation of honey bee subspecies. Previous studies have monitored introgression by using microsatellite, PCR-RFLP markers and most recently, high density assays using single nucleotide polymorphism (SNP) markers. While the latter are almost prohibitively expensive, the information gained to date can be exploited to create a reduced panel containing the most ancestry-informative markers (AIMs) for those purposes with very little loss of information. The objective of this study was to design reduced panels of AIMs to verify the origin of A. m. mellifera individuals and to provide accurate estimates of the level of C-lineage introgression into their genome. The discriminant power of the SNPs using a variety of metrics and approaches including the Weir & Cockerham's FST, an FST-based outlier test, Delta, informativeness (In), and PCA was evaluated. This study shows that reduced AIMs panels assign individuals to the correct origin and calculates the admixture level with a high degree of accuracy. These panels provide an essential tool in Europe for genetic stock identification and estimation of admixture levels which can assist management strategies and monitor honey bee conservation programs.
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