Evidence map›Paper›PMID 32631983›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2020

Genomic regions influencing aggressive behavior in honey bees are defined by colony allele frequencies.

Arián Avalos, Miaoquan Fang, Hailin Pan, Aixa Ramirez Lluch, Alexander E Lipka, Sihai Dave Zhao, Tugrul Giray, Gene E Robinson, Guojie Zhang, Matthew E Hudson

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
5.4field-weighted citation impact, top 4% 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

20 citing papers in PubMed, 60 citations in OpenAlex.

  1. Article
  2. Article
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  7. Division of labour during honeybee colony defence: poetic and scientific views.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025
    Review
  8. Article
  9. Article
  10. Review
  11. The Molecular Substrates of Insect Eusociality.Annual review of genetics · 2024
    Review
  12. Article
  13. Article
  14. Article
  15. Honey Bee Colonies (Insects · 2023
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Honey bee colony aggression and indirect genetic effects.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 3 institutions in 4 countries.

Arián AvalosCarl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, IL 61801.ORCID 0000-0002-4011-3099
Miaoquan FangBeijing Genomics Institute - Shenzhen, 518083 Shenzhen, Guangdong, China.ORCID 0000-0001-8714-9753
Hailin PanBeijing Genomics Institute - Shenzhen, 518083 Shenzhen, Guangdong, China.ORCID 0000-0001-6785-9862
Aixa Ramirez LluchDepartamento de Biología, Universidad de Puerto Rico, Río Piedras, Puerto Rico 00931.
Alexander E LipkaCarl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, IL 61801.
Sihai Dave ZhaoCarl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, IL 61801.
Tugrul GirayDepartamento de Biología, Universidad de Puerto Rico, Río Piedras, Puerto Rico 00931.ORCID 0000-0003-4383-4681
Gene E RobinsonCarl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, IL 61801; generobi@illinois.edu zhanggj@genomics.cn mhudson@illinois.edu.ORCID 0000-0003-4828-4068
Guojie ZhangBeijing Genomics Institute - Shenzhen, 518083 Shenzhen, Guangdong, China; generobi@illinois.edu zhanggj@genomics.cn mhudson@illinois.edu.
Matthew E HudsonCarl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, IL 61801; generobi@illinois.edu zhanggj@genomics.cn mhudson@illinois.edu.ORCID 0000-0002-4737-0936
University of Illinois Urbana-Champaign · USBGI Group (China) · CNUniversity of Puerto Rico at Río Piedras · PR

Funding

Emergence of collective multi-level network dynamics in a model society: From brain transcriptome to social behaviorR01GM117467 · NIGMS · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI GOLDENFELD, NIGEL, ROBINSON, GENE E · 2015 to 2017
$1.2M
NIGMS NIH HHS R01 GM117467
6 · The paper itself

Abstract

For social animals, the genotypes of group members affect the social environment, and thus individual behavior, often indirectly. We used genome-wide association studies (GWAS) to determine the influence of individual vs. group genotypes on aggression in honey bees. Aggression in honey bees arises from the coordinated actions of colony members, primarily nonreproductive "soldier" bees, and thus, experiences evolutionary selection at the colony level. Here, we show that individual behavior is influenced by colony environment, which in turn, is shaped by allele frequency within colonies. Using a population with a range of aggression, we sequenced individual whole genomes and looked for genotype-behavior associations within colonies in a common environment. There were no significant correlations between individual aggression and specific alleles. By contrast, we found strong correlations between colony aggression and the frequencies of specific alleles within colonies, despite a small number of colonies. Associations at the colony level were highly significant and were very similar among both soldiers and foragers, but they covaried with one another. One strongly significant association peak, containing an ortholog of the

Indexed as

AggressionAnimalsBeesGene FrequencyGenome, InsectGenome-Wide Association StudyPolymorphism, Single NucleotideSocial Behavioraggressionbehavioral geneticsGWAS

Identifiers

PMID32631983
PMCPMC7382227
OpenAlexW3039137271

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.