Evidence map›Paper›PMID 35993132›Full record

ArticleZoological research2022

Coevolutionary insights between promoters and transcription factors in the plant and animal kingdoms.

Jing-Song Zhang, Hai-Quan Wang, Jie Xia, Kun Sha, Shu-Tao He, Hao Dai, Xiao-Hu Hao, Yi-Wei Zhou, Qiu Wang, Ke-Ke Ding and 3 more

Open access · diamondAbstract read
In one paragraph

Article in Zoological research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.3field-weighted citation impact, top 18% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. 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

13 authors at 7 institutions in 1 country.

Jing-Song ZhangKey Laboratory of Systems Biology, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, Shanghai 200031, China. E-mail: jingsong.zhang@sibcb.ac.cn.
Hai-Quan WangDepartment of General Surgery, Shanghai General Hospital of Shanghai Jiao Tong University School of Medicine, Shanghai 200080, China.
Jie XiaKey Laboratory of Systems Biology, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, Shanghai 200031, China.
Kun ShaNaval Healthcare Information Center, Faculty of Military Health Services, Naval Medical University, Shanghai 200433, China.
Shu-Tao HeKey Laboratory of Systems Biology, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, Shanghai 200031, China.
Hao DaiKey Laboratory of Systems Biology, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, Shanghai 200031, China.
Xiao-Hu HaoBioinformatics Core of Excellence Department, GenScript Biotech Corporation, Nanjing, Jiangsu 211110, China.
Yi-Wei ZhouWaigaoqiao Free Trade Zone, Wuxi Biologics, Shanghai 200131, China.
Qiu WangKey Laboratory of Systems Biology, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, Shanghai 200031, China.
Ke-Ke DingDepartment of Cardiology, Tongji Hospital, Tongji University School of Medicine, Shanghai 200065, China.
Zhang-Lei JuKey Laboratory of Systems Biology, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, Shanghai 200031, China.
Wen WangSchool of Ecology and Environment, Northwestern Polytechnical University, Xi'an, Shanxi 710072, China.
Luo-Nan ChenKey Laboratory of Systems Biology, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, Shanghai 200031, China.
Chinese Academy of Sciences · CNNorthwestern Polytechnical University · CNSecond Military Medical University · CNTongji University · CNCenter for Excellence in Molecular Cell Science · CNShanghai First People's Hospital · CNWuXi AppTec (China) · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The divergence and continuous evolution of plants and animals contribute to ecological diversity. Promoters and transcription factors (TFs) are key determinants of gene regulation and transcription throughout life. However, the evolutionary trajectories and relationships of promoters and TFs are still poorly understood. Here, we conducted extensive analysis of large-scale multi-omics sequences in 420 animal species and 223 plant species spanning nearly a billion years of evolutionary history. Results showed that promoter GC-content and TF isoelectric points, as features/signatures that accompany long biological evolution, exhibited increasing growth in animal cells but a decreasing trend in plant cells. Furthermore, the evolutionary trajectories of promoter and TF signatures in the animal kingdom provided further evidence that Mammalia as well as Aves evolved directly from the ancestor Reptilia. The strong correlation between promoter and TF signatures indicates that promoters and TFs formed antagonistic coevolution in the animal kingdom, but mutualistic coevolution in the plant kingdom. The distinct coevolutionary patterns potentially drive the plant-animal divergence,divergent evolution and ecological diversity.

Indexed as

Gene Expression RegulationTranscription FactorsAnimalsBirdsPromoter Regions, GeneticTranscription FactorsCoevolutionMolecular evolutionPlant-animal divergencePromoterTranscription factor

Identifiers

PMID35993132
PMCPMC9486516
OpenAlexW4292178567

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.