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A novel SNP-based tool for estimating C-lineage introgression in the dark honey bee (Apis mellifera mellifera)

Authors: Pinto, M. Alice; Henriques, Dora; Browne, Keith A.; Barnett, Mark W.; Parejo, Melanie; Kryger, Per; Freeman, Tom C.; +5 Authors

A novel SNP-based tool for estimating C-lineage introgression in the dark honey bee (Apis mellifera mellifera)

Abstract

The natural distribution ofthe honeybee (Apis mellifera L.) hás been changed by humans in recent decades to such an extent that the formerly widest-spread European subspecies, Apís mellifera mellifera, is threatened by extinction through introgression from highly divergent commercial strains in large tracts of its range. Conservation efforts for A. m. mellifera are underway in multiple European countries requiring reliable and cost-efficient molecular tools to identify purebred colonies. Here, we developed four ancestry-informative SNP assays for high sample throughput genotyping using the iPLEX Mass Array system. Our customized assays were tested on DNA from individual and pooled, haploid and diploid honeybee samples extracted from different tissues using a diverse range of protocols. The assays had a high genotyping success rate and yielded accurate genotypes. Performance assessed against whole-genome data showed that individual assays behaved well, although the most accurate introgression estimates were obtained forthe fourassays combined (117 SNPs). The best compromise between accuracy ana genotyping costs was achieved when combining two assays (62 SNPs). We provide a ready-to-use cost-effective tool for accurate molecular identification and estimation of introgression leveis to more effectively monitor and manage A. m. mellífera conservatories.

Country
Portugal
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Keywords

Apis mellifera mellifera, Introgression, Dark bee, Reduced SNP assays

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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
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