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A HIGH-DENSITY AND TIME DYNAMIC DISTRIBUTION MAP OF HONEY BEE MITOCHONDRIAL DNA LINEAGES COVERING THE ENTIRE ITALY

Authors: Valeria Taurisano; Anisa Ribani; Dalal Sami; Kate Elise Johnson; Valerio Joe Utzeri; Samuele Bovo; Giuseppina Schiavo; +1 Authors

A HIGH-DENSITY AND TIME DYNAMIC DISTRIBUTION MAP OF HONEY BEE MITOCHONDRIAL DNA LINEAGES COVERING THE ENTIRE ITALY

Abstract

Growing interest has emerged in the need to monitor the genetic integrity of the European Apis mellifera subspecies, which could be threatened by the human-mediated dispersion of non-native populations and lines. Honey contains environmental DNA (eDNA) traces from all organisms that directly or indirectly were involved in its production, including the DNA of the honey bees that produced it. Specific mitochondrial DNA (mtDNA) lineages (known as mitotypes) characterize several A. mellifera subspecies. Different mitotypes can be detected using honey as a source of honey bee DNA, providing approximate population genetic information useful for estimating the diffusion and frequency of honey bee mitotypes. In this study we present a snapshot of the diffusion of the main A. mellifera mtDNA lineages in Italy over five years (2018-2022). DNA was extracted from more than 3200 honey samples produced in all regions of the Italian peninsula, Sardinia and Sicily, during these five years. PCR products were analysed using a fragment sizebased assay. Results confirmed that the C lineage was the most frequent mitotype throughout Italy except in Sicily where the A lineage was always highly represented. Other mtDNA haplotypes (A and M lineages) were present in almost all Italian regions. The updated distribution map of honey bee mtDNA lineages obtained in this study can be useful for designing and evaluating the potential effectiveness of conservation policies aimed at maintaining the integrity of honey bee genetic resources in Italy. Furthermore, we demonstrated that this approach based on the entomological footprint left in honey can provide a simplified yet extensive population genetic analysis, considering that each honey sample may contain the DNA of many different honey bees, from different colonies or even different apiaries.

Country
Italy
Keywords

eDNA, Honey, mtDNA, Population genetic, Apis mellifera

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green