Evidence map›Paper›PMID 30624681›Full record

ArticleMolecular biology and evolution2019

A Single SNP Turns a Social Honey Bee (Apis mellifera) Worker into a Selfish Parasite.

Denise Aumer, Eckart Stolle, Michael Allsopp, Fiona Mumoki, Christian W W Pirk, Robin F A Moritz

Open access · bronzeAbstract readComparative Study
In one paragraph

Article in Molecular biology and evolution, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
5.8field-weighted citation impact, top 5% of its field
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

10 citing papers in PubMed, 40 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 3 countries.

Denise AumerInstitute of Biology, Martin-Luther-Universität Halle-Wittenberg, Halle, Saale, Germany.
Eckart StolleInstitute of Biology, Martin-Luther-Universität Halle-Wittenberg, Halle, Saale, Germany.
Michael AllsoppHoney Bee Research Section, ARC Plant Protection Research Institute, Stellenbosch, South Africa.
Fiona MumokiDepartment of Zoology and Entomology, University of Pretoria, Pretoria, South Africa.
Christian W W PirkDepartment of Zoology and Entomology, University of Pretoria, Pretoria, South Africa.
Robin F A MoritzInstitute of Biology, Martin-Luther-Universität Halle-Wittenberg, Halle, Saale, Germany.
Martin Luther University Halle-Wittenberg · DEUniversity of Pretoria · ZAAgricultural Research Council of South Africa · ZA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The evolution of altruism in complex insect societies is arguably one of the major transitions in evolution and inclusive fitness theory plausibly explains why this is an evolutionary stable strategy. Yet, workers of the South African Cape honey bee (Apis mellifera capensis) can reverse to selfish behavior by becoming social parasites and parthenogenetically producing female offspring (thelytoky). Using a joint mapping and population genomics approach, in combination with a time-course transcript abundance dynamics analysis, we show that a single nucleotide polymorphism at the mapped thelytoky locus (Th) is associated with the iconic thelytokous phenotype. Th forms a linkage group with the ecdysis-triggering hormone receptor (Ethr) within a nonrecombining region under strong selection in the genome. A balanced detrimental allele system plausibly explains why the trait is specific to A. m. capensis and cannot easily establish itself into genomes of other honey bee subspecies.

Indexed as

AltruismAnimalsBeesFemaleParthenogenesisPolymorphism, Single NucleotideSelection, Geneticbalancing selectioninclusive fitnesssocial evolutionsocial parasitismthelytokyworker reproduction

Identifiers

PMID30624681
PMCPMC6389321
OpenAlexW2910509241

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

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.