Evidence map›Paper›PMID 26961896›Full record

ArticleBiology letters2016

Genetic diversity confers colony-level benefits due to individual immunity.

Michael Simone-Finstrom, Megan Walz, David R Tarpy

Open access · bronzeAbstract read
In one paragraph

Article in Biology letters, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
5.1field-weighted citation impact, top 6% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 61 citations in OpenAlex.

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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

3 authors at 1 institution in 1 country.

Michael Simone-FinstromDepartment of Entomology, North Carolina State University, Raleigh, NC 27695-7613, USA W. M. Keck Center for Behavioral Biology, North Carolina State University, Raleigh, NC 27695-7613, USA michael.simonefinstrom@ars.usda.gov.ORCID http://orcid.org/0000-0003-2938-9788
Megan WalzDepartment of Entomology, North Carolina State University, Raleigh, NC 27695-7613, USA.
David R TarpyDepartment of Entomology, North Carolina State University, Raleigh, NC 27695-7613, USA W. M. Keck Center for Behavioral Biology, North Carolina State University, Raleigh, NC 27695-7613, USA.
North Carolina State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Several costs and benefits arise as a consequence of eusociality and group-living. With increasing group size, spread of disease among nest-mates poses selective pressure on both individual immunity and group-level mechanisms of disease resistance (social immunity). Another factor known to influence colony-level expression of disease is intracolony genetic diversity, which in honeybees (Apis mellifera) is a direct function of the number of mates of the queen. Colonies headed by queens with higher mating numbers have less variable infections of decreased intensity, though the underlying mechanisms remain unclear. By pathogen-challenging larvae in vitro, we decoupled larval immune response from mechanisms of social immunity. Our results show that baseline immunity and degree of immune response do not vary with genetic diversity. However, intracolony variance in antimicrobial peptide production after pathogen challenge decreases with increasing genetic diversity. This reduction in variability of the larval immune response could drive the mitigation of disease observed in genetically diverse colonies.

Indexed as

BeesGenetic VariationAnimalsLarvaPaenibacillus larvaeApis melliferaindividual versus social immunitypolyandrysocial insects

Identifiers

PMID26961896
PMCPMC4843219
OpenAlexW2299804607

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.