Evidence map›Paper›PMID 29867207›Full record

ArticleScientific reports2018

High sample throughput genotyping for estimating C-lineage introgression in the dark honeybee: an accurate and cost-effective SNP-based tool.

Dora Henriques, Keith A Browne, Mark W Barnett, Melanie Parejo, Per Kryger, Tom C Freeman, Irene Muñoz, Lionel Garnery, Fiona Highet, J Spencer Jonhston and 2 more

Abstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

22 citing papers in PubMed.

  1. Article
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  5. Accurate Detection ofEcology and evolution · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Dora HenriquesMountain Research Centre (CIMO), Polytechnic Institute of Bragança, 5300-253, Bragança, Portugal.
Keith A BrowneDepartment of Zoology, Ryan Institute, School of Natural Sciences, National University of Ireland Galway, Galway, Ireland.
Mark W BarnettThe Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Easter Bush, Edinburgh, Midlothian, EH25 9RG, Scotland, UK.
Melanie ParejoAgroscope, Swiss Bee Research Centre, 3003, Bern, Switzerland.
Per KrygerAarhus University, Department of Agroecology, Slagelse, 4200, Denmark.
Tom C FreemanThe Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Easter Bush, Edinburgh, Midlothian, EH25 9RG, Scotland, UK.
Irene MuñozÁrea de Biología Animal, Dpto. de Zoología y Antropología Física, Universidad de Murcia, Campus de Espinardo, 30100, Murcia, Spain.
Lionel GarneryLaboratoire Evolution, Génomes et Spéciation, CNRS, Gif-sur-Yvette, France.
Fiona HighetScience and Advice for Scottish Agriculture (SASA), Roddinglaw Road, Edinburgh, EH12 9FJ, Scotland, UK.
J Spencer JonhstonDepartment of Entomology, Texas A&M University, College Station, USA.
Grace P McCormackDepartment of Zoology, Ryan Institute, School of Natural Sciences, National University of Ireland Galway, Galway, Ireland.
M Alice PintoMountain Research Centre (CIMO), Polytechnic Institute of Bragança, 5300-253, Bragança, Portugal. apinto@ipb.pt.ORCID 0000-0001-9663-8399

Funding

Biotechnology and Biological Sciences Research Council BB/I001107/1Biotechnology and Biological Sciences Research Council BB/JO1446X/1Biotechnology and Biological Sciences Research Council BBS/E/D/20211550Biotechnology and Biological Sciences Research Council BBS/E/D/20211552
6 · The paper itself

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.

Indexed as

DiploidyHaploidyPolymorphism, Single NucleotideAnimalsBeesGenotyping TechniquesOligonucleotide Array Sequence Analysis

Identifiers

PMID29867207
PMCPMC5986779

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.