Evidence map›Paper›PMID 25266559›Full record

ArticleNature communications2014

Caste-specific RNA editomes in the leaf-cutting ant Acromyrmex echinatior.

Qiye Li, Zongji Wang, Jinmin Lian, Morten Schiøtt, Lijun Jin, Pei Zhang, Yanyan Zhang, Sanne Nygaard, Zhiyu Peng, Yang Zhou and 4 more

Open access · hybridAbstract read
In one paragraph

Article in Nature communications, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed, 1 pooled it
5.1field-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

47 citing papers in PubMed, 1 synthesis or guideline pooled it, 76 citations in OpenAlex.

  1. Pooled it
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  13. RNA biology · 2024
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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

14 authors at 4 institutions in 2 countries.

Qiye Li1] School of Bioscience and Bioengineering, South China University of Technology, Guangzhou 510006, China [2] China National GeneBank, BGI-Shenzhen, Building No. 11, Beishan Industrial Zone, Yantian District, Shenzhen 518083, China.
Zongji Wang1] School of Bioscience and Bioengineering, South China University of Technology, Guangzhou 510006, China [2] China National GeneBank, BGI-Shenzhen, Building No. 11, Beishan Industrial Zone, Yantian District, Shenzhen 518083, China.
Jinmin LianChina National GeneBank, BGI-Shenzhen, Building No. 11, Beishan Industrial Zone, Yantian District, Shenzhen 518083, China.
Morten SchiøttCentre for Social Evolution, Department of Biology, University of Copenhagen, Universitetsparken 15, DK-2100 Copenhagen, Denmark.
Lijun JinChina National GeneBank, BGI-Shenzhen, Building No. 11, Beishan Industrial Zone, Yantian District, Shenzhen 518083, China.
Pei ZhangChina National GeneBank, BGI-Shenzhen, Building No. 11, Beishan Industrial Zone, Yantian District, Shenzhen 518083, China.
Yanyan ZhangBGI-Shenzhen, Shenzhen 518083, China.
Sanne NygaardCentre for Social Evolution, Department of Biology, University of Copenhagen, Universitetsparken 15, DK-2100 Copenhagen, Denmark.
Zhiyu PengBGI-Shenzhen, Shenzhen 518083, China.
Yang Zhou1] School of Bioscience and Bioengineering, South China University of Technology, Guangzhou 510006, China [2] China National GeneBank, BGI-Shenzhen, Building No. 11, Beishan Industrial Zone, Yantian District, Shenzhen 518083, China.
Yuan DengChina National GeneBank, BGI-Shenzhen, Building No. 11, Beishan Industrial Zone, Yantian District, Shenzhen 518083, China.
Wenwei ZhangBGI-Shenzhen, Shenzhen 518083, China.
Jacobus J BoomsmaCentre for Social Evolution, Department of Biology, University of Copenhagen, Universitetsparken 15, DK-2100 Copenhagen, Denmark.
Guojie Zhang1] China National GeneBank, BGI-Shenzhen, Building No. 11, Beishan Industrial Zone, Yantian District, Shenzhen 518083, China [2] Centre for Social Evolution, Department of Biology, University of Copenhagen, Universitetsparken 15, DK-2100 Copenhagen, Denmark.
China National GeneBank · CNUniversity of Copenhagen · DKBGI Group (China) · CNSouth China University of Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Eusocial insects have evolved the capacity to generate adults with distinct morphological, reproductive and behavioural phenotypes from the same genome. Recent studies suggest that RNA editing might enhance the diversity of gene products at the post-transcriptional level, particularly to induce functional changes in the nervous system. Using head samples from the leaf-cutting ant Acromyrmex echinatior, we compare RNA editomes across eusocial castes, identifying ca. 11,000 RNA editing sites in gynes, large workers and small workers. Those editing sites map to 800 genes functionally enriched for neurotransmission, circadian rhythm, temperature response, RNA splicing and carboxylic acid biosynthesis. Most A. echinatior editing sites are species specific, but 8-23% are conserved across ant subfamilies and likely to have been important for the evolution of eusociality in ants. The level of editing varies for the same site between castes, suggesting that RNA editing might be a general mechanism that shapes caste behaviour in ants.

Indexed as

RNA EditingAnimalsAntsBase SequenceMaleMolecular Sequence DataPhylogenyRNASpecies SpecificityRNA

Identifiers

PMID25266559
PMCPMC4200514
OpenAlexW2119824183

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.