Evidence map›Paper›PMID 22162860›Full record

ArticleThe Journal of experimental biology2012

Regulation of behaviorally associated gene networks in worker honey bee ovaries.

Ying Wang, Sarah D Kocher, Timothy A Linksvayer, Christina M Grozinger, Robert E Page, Gro V Amdam

Open access · bronzeAbstract read
In one paragraph

Article in The Journal of experimental biology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
3.2field-weighted citation impact, top 8% 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

22 citing papers in PubMed, 59 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

6 authors at 4 institutions in 2 countries.

Ying WangSchool of Life Sciences, Arizona State University, Tempe, AZ 85287, USA. ying.wang.6@asu.edu
Sarah D Kocher
Timothy A Linksvayer
Christina M Grozinger
Robert E Page
Gro V Amdam
Arizona State University · USPennsylvania State University · USNorwegian University of Life Sciences · NOUniversity of Pennsylvania · 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

Several lines of evidence support genetic links between ovary size and division of labor in worker honey bees. However, it is largely unknown how ovaries influence behavior. To address this question, we first performed transcriptional profiling on worker ovaries from two genotypes that differ in social behavior and ovary size. Then, we contrasted the differentially expressed ovarian genes with six sets of available brain transcriptomes. Finally, we probed behavior-related candidate gene networks in wild-type ovaries of different sizes. We found differential expression in 2151 ovarian transcripts in these artificially selected honey bee strains, corresponding to approximately 20.3% of the predicted gene set of honey bees. Differences in gene expression overlapped significantly with changes in the brain transcriptomes. Differentially expressed genes were associated with neural signal transmission (tyramine receptor, TYR) and ecdysteroid signaling; two independently tested nuclear hormone receptors (HR46 and ftz-f1) were also significantly correlated with ovary size in wild-type bees. We suggest that the correspondence between ovary and brain transcriptomes identified here indicates systemic regulatory networks among hormones (juvenile hormone and ecdysteroids), pheromones (queen mandibular pheromone), reproductive organs and nervous tissues in worker honey bees. Furthermore, robust correlations between ovary size and neuraland endocrine response genes are consistent with the hypothesized roles of the ovaries in honey bee behavioral regulation.

Indexed as

Genes, InsectAnimalsBeesFemaleGene Regulatory NetworksOvarySocial Behavior

Identifiers

PMID22162860
PMCPMC3233392
OpenAlexW2138809852

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.