Evidence map›Paper›PMID 32641764›Full record

ArticleScientific data2020

Chromatin accessibility and transcriptome landscapes of Monomorium pharaonis brain.

Mingyue Wang, Yang Liu, Tinggang Wen, Weiwei Liu, Qionghua Gao, Jie Zhao, Zijun Xiong, Zhifeng Wang, Wei Jiang, Yeya Yu and 13 more

Open access · goldAbstract readDataset
In one paragraph

Article in Scientific data, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
2.5field-weighted citation impact, top 11% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. Pooled it
  2. Genome Evolution in Social Insects.Genome biology and evolution · 2026
    Review
  3. ATAC-seq in Emerging Model Organisms: Challenges and Strategies.Journal of experimental zoology. Part B, Molecular and developmental evolution · 2025
    Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. A molecular toolkit for superorganisms.Trends in genetics : TIG · 2021
    Review
  10. Review
  11. Article
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

23 authors at 3 institutions in 2 countries.

Mingyue Wang *BGI Education Center, University of Chinese Academy of Sciences, Shenzhen, 518083, China.
Yang Liu *BGI Education Center, University of Chinese Academy of Sciences, Shenzhen, 518083, China.
Tinggang WenBGI-Shenzhen, Shenzhen, 518083, China.
Weiwei LiuState Key Laboratory of Genetic Resource and Evolution, Kunming Institution of Zoology, Chinese Academy of Science, Kunming, 650223, China.ORCID http://orcid.org/0000-0001-5082-9114
Qionghua GaoState Key Laboratory of Genetic Resource and Evolution, Kunming Institution of Zoology, Chinese Academy of Science, Kunming, 650223, China.
Jie ZhaoState Key Laboratory of Genetic Resource and Evolution, Kunming Institution of Zoology, Chinese Academy of Science, Kunming, 650223, China.
Zijun XiongBGI-Shenzhen, Shenzhen, 518083, China.ORCID http://orcid.org/0000-0003-3923-0703
Zhifeng WangBGI-Shenzhen, Shenzhen, 518083, China.
Wei JiangBGI-Shenzhen, Shenzhen, 518083, China.
Yeya YuBGI-Shenzhen, Shenzhen, 518083, China.
Liang WuBGI Education Center, University of Chinese Academy of Sciences, Shenzhen, 518083, China.
Yue YuanBGI Education Center, University of Chinese Academy of Sciences, Shenzhen, 518083, China.
Xiaoyu WeiBGI Education Center, University of Chinese Academy of Sciences, Shenzhen, 518083, China.
Jiangshan XuBGI Education Center, University of Chinese Academy of Sciences, Shenzhen, 518083, China.
Mengnan ChengBGI Education Center, University of Chinese Academy of Sciences, Shenzhen, 518083, China.
Pei ZhangBGI-Shenzhen, Shenzhen, 518083, China.
Panyi LiBGI-Shenzhen, Shenzhen, 518083, China.
Yong HouBGI-Shenzhen, Shenzhen, 518083, China.ORCID http://orcid.org/0000-0002-0420-0726
Huanming YangBGI Education Center, University of Chinese Academy of Sciences, Shenzhen, 518083, China.
Guojie ZhangChina National Gene Bank, BGI-Shenzhen, Shenzhen, 518120, China.
Qiye LiBGI-Shenzhen, Shenzhen, 518083, China.ORCID http://orcid.org/0000-0002-5993-0312
Chuanyu LiuBGI-Shenzhen, Shenzhen, 518083, China. liuchuanyu@genomics.cn.ORCID http://orcid.org/0000-0003-2258-0897
Longqi LiuBGI-Shenzhen, Shenzhen, 518083, China. liulongqi@genomics.cn.
BGI Group (China) · CNKunming Institute of Zoology · CNUniversity of Copenhagen · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The emergence of social organization (eusociality) is a major event in insect evolution. Although previous studies have investigated the mechanisms underlying caste differentiation and social behavior of eusocial insects including ants and honeybees, the molecular circuits governing sociality in these insects remain obscure. In this study, we profiled the transcriptome and chromatin accessibility of brain tissues in three Monomorium pharaonis ant castes: queens (including mature and un-mated queens), males and workers. We provide a comprehensive dataset including 16 RNA-sequencing and 16 assay for transposase accessible chromatin (ATAC)-sequencing profiles. We also demonstrate strong reproducibility of the datasets and have identified specific genes and open chromatin regions in the genome that may be associated with the social function of these castes. Our data will be a valuable resource for further studies of insect behaviour, particularly the role of brain in the control of eusociality.

Indexed as

BrainChromatinTranscriptomeAnimalsAntsBehavior, AnimalFemaleGenome, InsectMaleRNA, Ribosomal, 16SSocial BehaviorChromatinRNA, Ribosomal, 16S

Identifiers

PMID32641764
PMCPMC7343836
OpenAlexW3041588939

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.