Evidence map›Paper›PMID 19340296›Full record

ArticlePloS one2009

PDK1 and HR46 gene homologs tie social behavior to ovary signals.

Ying Wang, Gro V Amdam, Olav Rueppell, Megan A Wallrichs, M Kim Fondrk, Osman Kaftanoglu, Robert E Page

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
1.8field-weighted citation impact, top 16% 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

32 citing papers in PubMed, 62 citations in OpenAlex.

  1. Article
  2. Sterol and lipid metabolism in bees.Metabolomics : Official journal of the Metabolomic Society · 2023
    Review
  3. International journal of molecular sciences · 2022
    Article
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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

7 authors at 2 institutions in 2 countries.

Ying WangSchool of Life Sciences, Arizona State University, Tempe, AZ, USA. ying.wang.6@asu.edu
Gro V Amdam
Olav Rueppell
Megan A Wallrichs
M Kim Fondrk
Osman Kaftanoglu
Robert E Page
Arizona State University · USUniversity of North Carolina at Greensboro · US

Funding

THE MATHEMATICAL DEMOGRAPHY OF BIODEMOGRAPHYP01AG022500 · NIA · UNIVERSITY OF CALIFORNIA DAVIS · PI CAREY, JAMES R. · 2003 to 2010
$8.1M
NIA NIH HHS P01 AG022500NIA NIH HHS P01 AG22500
6 · The paper itself

Abstract

The genetic basis of division of labor in social insects is a central question in evolutionary and behavioral biology. The honey bee is a model for studying evolutionary behavioral genetics because of its well characterized age-correlated division of labor. After an initial period of within-nest tasks, 2-3 week-old worker bees begin foraging outside the nest. Individuals often specialize by biasing their foraging efforts toward collecting pollen or nectar. Efforts to explain the origins of foraging specialization suggest that division of labor between nectar and pollen foraging specialists is influenced by genes with effects on reproductive physiology. Quantitative trait loci (QTL) mapping of foraging behavior also reveals candidate genes for reproductive traits. Here, we address the linkage of reproductive anatomy to behavior, using backcross QTL analysis, behavioral and anatomical phenotyping, candidate gene expression studies, and backcross confirmation of gene-to-anatomical trait associations. Our data show for the first time that the activity of two positional candidate genes for behavior, PDK1 and HR46, have direct genetic relationships to ovary size, a central reproductive trait that correlates with the nectar and pollen foraging bias of workers. These findings implicate two genes that were not known previously to influence complex social behavior. Also, they outline how selection may have acted on gene networks that affect reproductive resource allocation and behavior to facilitate the evolution of social foraging in honey bees.

Indexed as

Genes, InsectSocial BehaviorAnimalsBeesFemaleOvaryQuantitative Trait LociReproduction

Identifiers

PMID19340296
PMCPMC2659776
OpenAlexW2038436434

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.