Abstract

The natural distribution of the honeybee (Apis mellifera L.) has been changed by humans in recent decades to such an extent that the formerly widest-spread European subspecies, Apis 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 for the four assays combined (117 SNPs). The best compromise between accuracy and 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 levels to more effectively monitor and manage A. m. mellifera conservatories.

Details

Title
High sample throughput genotyping for estimating C-lineage introgression in the dark honeybee: an accurate and cost-effective SNP-based tool
Author
Henriques, Dora 1 ; Browne, Keith A 2 ; Barnett, Mark W 3 ; Parejo, Melanie 4 ; Kryger, Per 5 ; Freeman, Tom C 3 ; Muñoz, Irene 6 ; Garnery, Lionel 7 ; Highet, Fiona 8 ; J Spencer Jonhston 9 ; McCormack, Grace P 2 ; Pinto, M Alice 10   VIAFID ORCID Logo 

 Mountain Research Centre (CIMO), Polytechnic Institute of Bragança, Bragança, Portugal; Centre of Molecular and Environmental Biology (CBMA), University of Minho, Braga, Portugal 
 Department of Zoology, Ryan Institute, School of Natural Sciences, National University of Ireland Galway, Galway, Ireland 
 The Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Easter Bush, Edinburgh, Midlothian, Scotland, UK 
 Agroscope, Swiss Bee Research Centre, Bern, Switzerland 
 Aarhus University, Department of Agroecology, Slagelse, Denmark 
 Área de Biología Animal, Dpto. de Zoología y Antropología Física, Universidad de Murcia, Murcia, Spain 
 Laboratoire Evolution, Génomes et Spéciation, CNRS, Gif-sur-Yvette, France; Saint Quentin en Yvelines, Université de Versailles, Versailles, France 
 Science and Advice for Scottish Agriculture (SASA), Edinburgh, Scotland, UK 
 Department of Entomology, Texas A&M University, College Station, USA 
10  Mountain Research Centre (CIMO), Polytechnic Institute of Bragança, Bragança, Portugal 
Pages
1-14
Publication year
2018
Publication date
Jun 2018
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2049880148
Copyright
© 2018. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.