Evidence map›Paper›PMID 32238901›Full record

ArticleCell research2020

Accelerated evolution of an Lhx2 enhancer shapes mammalian social hierarchies.

Yuting Wang, Guangyi Dai, Zhili Gu, Guopeng Liu, Ke Tang, Yi-Hsuan Pan, Yujie Chen, Xin Lin, Nan Wu, Haoshan Chen and 16 more

Open access · bronzeAbstract read
In one paragraph

Article in Cell research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
5.6field-weighted citation impact, top 5% 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

8 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Cis-Regulatory Elements in Mammals.International journal of molecular sciences · 2023
    Review
  6. Review
  7. Article
  8. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

26 authors at 5 institutions in 2 countries.

Yuting Wang *CAS Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Yueyang Road 320, 200031, Shanghai, China.
Guangyi Dai *CAS Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Yueyang Road 320, 200031, Shanghai, China.
Zhili Gu *CAS Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Yueyang Road 320, 200031, Shanghai, China.
Guopeng Liu *CAS Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Yueyang Road 320, 200031, Shanghai, China.
Ke TangPrecise Genome Engineering Center, School of Life Sciences, Guangzhou University, Guangzhou, 510405, Guangdong, China.
Yi-Hsuan PanKey Laboratory of Brain Functional Genomics of Ministry of Education, School of Life Science, East China Normal University, 200062, Shanghai, China.ORCID http://orcid.org/0000-0001-5156-9887
Yujie ChenBio-Med Big Data Center, CAS Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Yueyang Road 320, 200031, Shanghai, China.
Xin LinCAS Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Yueyang Road 320, 200031, Shanghai, China.
Nan WuKey Laboratory of Brain Functional Genomics of Ministry of Education, School of Life Science, East China Normal University, 200062, Shanghai, China.
Haoshan ChenUniversity of Chinese Academy of Sciences, Beijing, China.
Su FengUniversity of Chinese Academy of Sciences, Beijing, China.
Shou QiuUniversity of Chinese Academy of Sciences, Beijing, China.
Hongduo SunCAS Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Yueyang Road 320, 200031, Shanghai, China.
Qian LiCAS Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Yueyang Road 320, 200031, Shanghai, China.
Chuan XuCAS Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Yueyang Road 320, 200031, Shanghai, China.
Yanan MaoUniversity of Chinese Academy of Sciences, Beijing, China.
Yong Edward ZhangUniversity of Chinese Academy of Sciences, Beijing, China.ORCID http://orcid.org/0000-0003-3770-2383
Philipp KhaitovichCAS Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Yueyang Road 320, 200031, Shanghai, China.
Yan-Ling WangState Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, 100101, Beijing, China.
Qunxiu LiuShanghai Zoological Park, 200335, Shanghai, China.
Jing-Dong Jackie HanCAS Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Yueyang Road 320, 200031, Shanghai, China.
Zhen ShaoCAS Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Yueyang Road 320, 200031, Shanghai, China.ORCID http://orcid.org/0000-0002-4934-4360
Gang WeiCAS Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Yueyang Road 320, 200031, Shanghai, China.ORCID http://orcid.org/0000-0001-5839-1276
Chun XuInstitute of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Yueyang Road 320, 200031, Shanghai, China.ORCID http://orcid.org/0000-0001-5149-8257
Naihe JingState Key Laboratory of Cell Biology, Institute of Biochemistry and Cell Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Yueyang Road 320, 200031, Shanghai, China.ORCID http://orcid.org/0000-0003-1509-6378
Haipeng LiCAS Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Yueyang Road 320, 200031, Shanghai, China. lihaipeng@picb.ac.cn.
Chinese Academy of Sciences · CNEast China Normal University · CNGuangzhou University · CNInstitute of Zoology · KZKunming Institute of Zoology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Social hierarchies emerged during evolution, and social rank influences behavior and health of individuals. However, the evolutionary mechanisms of social hierarchy are still unknown in amniotes. Here we developed a new method and performed a genome-wide screening for identifying regions with accelerated evolution in the ancestral lineage of placental mammals, where mammalian social hierarchies might have initially evolved. Then functional analyses were conducted for the most accelerated region designated as placental-accelerated sequence 1 (PAS1, P = 3.15 × 10

Indexed as

Hierarchy, SocialLIM-Homeodomain ProteinsRegulatory Sequences, Nucleic AcidSocial EvolutionAnimalsCattleChick EmbryoChickensEmbryo, MammalianHEK293 CellsHumansMacropodidaeMice, Inbred C57BLMice, KnockoutSocial DominanceTranscription FactorsLIM-Homeodomain ProteinsTranscription Factors

Identifiers

PMID32238901
PMCPMC7196073
OpenAlexW3014663482

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.