Evidence map›Paper›PMID 28827652›Full record

ArticleScientific reports2017

Peptide biomarkers used for the selective breeding of a complex polygenic trait in honey bees.

M Marta Guarna, Shelley E Hoover, Elizabeth Huxter, Heather Higo, Kyung-Mee Moon, Dominik Domanski, Miriam E F Bixby, Andony P Melathopoulos, Abdullah Ibrahim, Michael Peirson and 7 more

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

31 citing papers in PubMed.

  1. Article
  2. Body Size and Body Weight inLife (Basel, Switzerland) · 2026
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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

17 authors.

M Marta GuarnaDepartment of Biochemistry & Molecular Biology, and Centre for Sustainable Food Systems, University of British Columbia, Vancouver, BC, Canada.
Shelley E HooverDepartment of Biochemistry & Molecular Biology, and Centre for Sustainable Food Systems, University of British Columbia, Vancouver, BC, Canada.
Elizabeth HuxterKettle Valley Queens, Grand Forks, BC, Canada.
Heather HigoDepartment of Biochemistry & Molecular Biology, and Centre for Sustainable Food Systems, University of British Columbia, Vancouver, BC, Canada.
Kyung-Mee MoonDepartment of Biochemistry & Molecular Biology, and Centre for Sustainable Food Systems, University of British Columbia, Vancouver, BC, Canada.
Dominik DomanskiUniversity of Victoria-Genome British Columbia Proteomics Centre, Victoria, BC, Canada.
Miriam E F BixbyDepartment of Biochemistry & Molecular Biology, and Centre for Sustainable Food Systems, University of British Columbia, Vancouver, BC, Canada.
Andony P MelathopoulosAgriculture & Agri-Food Canada, Beaverlodge Research Farm, Beaverlodge, AB, Canada.
Abdullah IbrahimAgriculture & Agri-Food Canada, Beaverlodge Research Farm, Beaverlodge, AB, Canada.
Michael PeirsonAgriculture & Agri-Food Canada, Beaverlodge Research Farm, Beaverlodge, AB, Canada.
Suresh DesaiDepartment of Entomology, University of Manitoba, Winnipeg, MB, Canada.
Derek MicholsonDepartment of Entomology, University of Manitoba, Winnipeg, MB, Canada.
Rick WhiteDepartment of Statistics, University of British Columbia, Vancouver, BC, Canada.
Christoph H BorchersUniversity of Victoria-Genome British Columbia Proteomics Centre, Victoria, BC, Canada.
Robert W CurrieDepartment of Entomology, University of Manitoba, Winnipeg, MB, Canada.
Stephen F PernalAgriculture & Agri-Food Canada, Beaverlodge Research Farm, Beaverlodge, AB, Canada. Steve.Pernal@agr.gc.ca.
Leonard J FosterDepartment of Biochemistry & Molecular Biology, and Centre for Sustainable Food Systems, University of British Columbia, Vancouver, BC, Canada. foster@msl.ubc.ca.ORCID 0000-0001-8551-4817

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We present a novel way to select for highly polygenic traits. For millennia, humans have used observable phenotypes to selectively breed stronger or more productive livestock and crops. Selection on genotype, using single-nucleotide polymorphisms (SNPs) and genome profiling, is also now applied broadly in livestock breeding programs; however, selection on protein/peptide or mRNA expression markers has not yet been proven useful. Here we demonstrate the utility of protein markers to select for disease-resistant hygienic behavior in the European honey bee (Apis mellifera L.). Robust, mechanistically-linked protein expression markers, by integrating cis- and trans- effects from many genomic loci, may overcome limitations of genomic markers to allow for selection. After three generations of selection, the resulting marker-selected stock outperformed an unselected benchmark stock in terms of hygienic behavior, and had improved survival when challenged with a bacterial disease or a parasitic mite, similar to bees selected using a phenotype-based assessment for this trait. This is the first demonstration of the efficacy of protein markers for industrial selective breeding in any agricultural species, plant or animal.

Indexed as

Multifactorial InheritanceSelective BreedingAnimalsBeesBiomarkersGenotypePeptidesBiomarkersPeptides

Identifiers

PMID28827652
PMCPMC5566959

What OpenQuestion holds

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Registered trials

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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.