Evidence map›Paper›PMID 21960440›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2011

Behavior-specific changes in transcriptional modules lead to distinct and predictable neurogenomic states.

Sriram Chandrasekaran, Seth A Ament, James A Eddy, Sandra L Rodriguez-Zas, Bruce R Schatz, Nathan D Price, Gene E Robinson

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 87 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
87citing papers in PubMed, 1 pooled it
–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

87 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  16. Behavioral genetics and genomics: Mendel's peas, mice, and bees.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
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  18. Article
  19. Expression Profile of Genes Related to the Th17 Pathway in Macrophages Infected byFrontiers in cellular and infection microbiology · 2022
    Article
  20. Article

27 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Sriram ChandrasekaranCenter for Biophysics and Computational Biology, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA.
Seth A Ament
James A Eddy
Sandra L Rodriguez-Zas
Bruce R Schatz
Nathan D Price
Gene E Robinson

Funding

Johnny Bee Good: Bees as Models to Study the Hijacking of the Reward SystemDP1OD006416 · OD · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI ROBINSON, GENE E · 2009 to 2011
$2.4M
Integration of resources and studies to elucidate neuropeptide signalingR21DA027548 · NIDA · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI RODRIGUEZ ZAS, SANDRA L · 2009 to 2012
$961k
NIDA NIH HHS R21 DA027548NIH HHS 1DP1OD006416NIH HHS DP1 OD006416
6 · The paper itself

Abstract

Using brain transcriptomic profiles from 853 individual honey bees exhibiting 48 distinct behavioral phenotypes in naturalistic contexts, we report that behavior-specific neurogenomic states can be inferred from the coordinated action of transcription factors (TFs) and their predicted target genes. Unsupervised hierarchical clustering of these transcriptomic profiles showed three clusters that correspond to three ecologically important behavioral categories: aggression, maturation, and foraging. To explore the genetic influences potentially regulating these behavior-specific neurogenomic states, we reconstructed a brain transcriptional regulatory network (TRN) model. This brain TRN quantitatively predicts with high accuracy gene expression changes of more than 2,000 genes involved in behavior, even for behavioral phenotypes on which it was not trained, suggesting that there is a core set of TFs that regulates behavior-specific gene expression in the bee brain, and other TFs more specific to particular categories. TFs playing key roles in the TRN include well-known regulators of neural and behavioral plasticity, e.g., Creb, as well as TFs better known in other biological contexts, e.g., NF-κB (immunity). Our results reveal three insights concerning the relationship between genes and behavior. First, distinct behaviors are subserved by distinct neurogenomic states in the brain. Second, the neurogenomic states underlying different behaviors rely upon both shared and distinct transcriptional modules. Third, despite the complexity of the brain, simple linear relationships between TFs and their putative target genes are a surprisingly prominent feature of the networks underlying behavior.

Indexed as

BehaviorGenomicsTranscription, GeneticAnimalsBeesBrain

Identifiers

PMID21960440
PMCPMC3207651

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.