Evidence map›Paper›PMID 25757461›Full record

ArticleBMC genomics2015

A search for protein biomarkers links olfactory signal transduction to social immunity.

Maria Marta Guarna, Andony P Melathopoulos, Elizabeth Huxter, Immacolata Iovinella, Robert Parker, Nikolay Stoynov, Amy Tam, Kyung-Mee Moon, Queenie W T Chan, Paolo Pelosi and 3 more

Abstract read
In one paragraph

Article in BMC genomics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

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  18. Managing the risks and rewards of death in eusocial insects.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2018
    Review
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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

13 authors.

Maria Marta GuarnaDepartment of Biochemistry & Molecular Biology, Centre for High-Throughput Biology, University of British Columbia, 2125 East Mall, Vancouver, BC, V6T 1Z4, Canada. marta.guarna@outlook.com.
Andony P MelathopoulosBeaverlodge Research Farm, Agriculture & Agri-Food Canada, Beaverlodge, AB, T0H 0C0, Canada. Andony.Melathopoulos@dal.ca.
Elizabeth HuxterKettle Valley Queens, Grand Forks, BC, Canada. lizandterry@gmail.com.
Immacolata IovinellaDepartment of Agriculture, Food and Environment, University of Pisa, Pisa, Italy. imma.iovinella@gmail.com.
Robert ParkerDepartment of Biochemistry & Molecular Biology, Centre for High-Throughput Biology, University of British Columbia, 2125 East Mall, Vancouver, BC, V6T 1Z4, Canada. robert.rparker@gmail.com.
Nikolay StoynovDepartment of Biochemistry & Molecular Biology, Centre for High-Throughput Biology, University of British Columbia, 2125 East Mall, Vancouver, BC, V6T 1Z4, Canada. nstoynov@mail.ubc.ca.
Amy TamDepartment of Biochemistry & Molecular Biology, Centre for High-Throughput Biology, University of British Columbia, 2125 East Mall, Vancouver, BC, V6T 1Z4, Canada. amytam0517@hotmail.com.
Kyung-Mee MoonDepartment of Biochemistry & Molecular Biology, Centre for High-Throughput Biology, University of British Columbia, 2125 East Mall, Vancouver, BC, V6T 1Z4, Canada. kyungmee@mail.ubc.ca.
Queenie W T ChanDepartment of Biochemistry & Molecular Biology, Centre for High-Throughput Biology, University of British Columbia, 2125 East Mall, Vancouver, BC, V6T 1Z4, Canada. queeniecwt@gmail.com.
Paolo PelosiDepartment of Agriculture, Food and Environment, University of Pisa, Pisa, Italy. ppelosi.obp@gmail.com.
Rick WhiteDepartment of Statistics, University of British Columbia, Vancouver, BC, V6T 1Z4, Canada. rickw@stat.ubc.ca.
Stephen F PernalBeaverlodge Research Farm, Agriculture & Agri-Food Canada, Beaverlodge, AB, T0H 0C0, Canada. Steve.Pernal@AGR.GC.CA.
Leonard J FosterDepartment of Biochemistry & Molecular Biology, Centre for High-Throughput Biology, University of British Columbia, 2125 East Mall, Vancouver, BC, V6T 1Z4, Canada. foster@chibi.ubc.ca.

Funding

Washington University Institute of Clinical and Translational SciencesUL1TR000448 · NCATS · WASHINGTON UNIVERSITY · PI EVANOFF, BRADLEY A · 2012 to 2016
$41.4M
TRAINING PROGRAM IN CELLULAR AND MOLECULAR BIOLOGYT32GM007067 · NIGMS · WASHINGTON UNIVERSITY · PI TRUE-KROB, HEATHER L · 1985 to 2020
$20.4M
NCATS NIH HHS UL1 TR000448NIGMS NIH HHS 5T32GM7067
6 · The paper itself

Abstract

backgroundThe Western honey bee (Apis mellifera L.) is a critical component of human agriculture through its pollination activities. For years, beekeepers have controlled deadly pathogens such as Paenibacillus larvae, Nosema spp. and Varroa destructor with antibiotics and pesticides but widespread chemical resistance is appearing and most beekeepers would prefer to eliminate or reduce the use of in-hive chemicals. While such treatments are likely to still be needed, an alternate management strategy is to identify and select bees with heritable traits that allow them to resist mites and diseases. Breeding such bees is difficult as the tests involved to identify disease-resistance are complicated, time-consuming, expensive and can misidentify desirable genotypes. Additionally, we do not yet fully understand the mechanisms behind social immunity. Here we have set out to discover the molecular mechanism behind hygienic behavior (HB), a trait known to confer disease resistance in bees.

resultsAfter confirming that HB could be selectively bred for, we correlated measurements of this behavior with protein expression over a period of three years, at two geographically distinct sites, using several hundred bee colonies. By correlating the expression patterns of individual proteins with HB scores, we identified seven putative biomarkers of HB that survived stringent control for multiple hypothesis testing. Intriguingly, these proteins were all involved in semiochemical sensing (odorant binding proteins), nerve signal transmission or signal decay, indicative of the series of events required to respond to an olfactory signal from dead or diseased larvae. We then used recombinant versions of two odorant-binding proteins to identify the classes of ligands that these proteins might be helping bees detect.

conclusionsOur data suggest that neurosensory detection of odors emitted by dead or diseased larvae is the likely mechanism behind a complex and important social immunity behavior that allows bees to co-exist with pathogens.

Indexed as

Neurosecretory SystemsAgricultureAnimalsBeesBehavior, AnimalDisease ResistanceGenotypeHumansLarvaNosemaOdorantsPollinationSignal TransductionVarroidae

Identifiers

PMID25757461
PMCPMC4342888

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.