Evidence map›Paper›PMID 30862647›Full record

ArticleGenome research2019

GenTree, an integrated resource for analyzing the evolution and function of primate-specific coding genes.

Yi Shao, Chunyan Chen, Hao Shen, Bin Z He, Daqi Yu, Shuai Jiang, Shilei Zhao, Zhiqiang Gao, Zhenglin Zhu, Xi Chen and 5 more

Open access · bronzeAbstract read
In one paragraph

Article in Genome research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 76 papers.

0numbers the graph read from it
0cells of the map it votes in
76citing papers in PubMed
–field-weighted citation impact
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

76 citing papers in PubMed, 119 citations in OpenAlex.

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  13. Gene age shapes functional and evolutionary properties of theProceedings of the National Academy of Sciences of the United States of America · 2025
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16 more citing papers are in PubMed but not listed here.

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

15 authors at 7 institutions in 2 countries.

Yi Shao *Key Laboratory of Zoological Systematics and Evolution and State Key Laboratory of Integrated Management of Pest Insects and Rodents, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China.
Chunyan Chen *Key Laboratory of Zoological Systematics and Evolution and State Key Laboratory of Integrated Management of Pest Insects and Rodents, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China.
Hao Shen *College of Computers, Hunan University of Technology, Zhuzhou Hunan 412007, China.
Bin Z He *FAS Center for Systems Biology and Howard Hughes Medical Institute, Harvard University, Cambridge, Massachusetts 02138, USA.
Daqi YuKey Laboratory of Zoological Systematics and Evolution and State Key Laboratory of Integrated Management of Pest Insects and Rodents, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China.
Shuai JiangState Key Laboratory of Protein and Plant Gene Research, School of Life Sciences, Center for Bioinformatics, Peking University, Beijing 100871, China.
Shilei ZhaoUniversity of Chinese Academy of Sciences, Beijing 100049, China.
Zhiqiang GaoUniversity of Chinese Academy of Sciences, Beijing 100049, China.
Zhenglin ZhuSchool of Life Sciences, Chongqing University, Chongqing 400044, China.
Xi ChenWuhan Institute of Biotechnology, Wuhan 430072, China.
Yan FuUniversity of Chinese Academy of Sciences, Beijing 100049, China.
Hua ChenUniversity of Chinese Academy of Sciences, Beijing 100049, China.
Ge GaoState Key Laboratory of Protein and Plant Gene Research, School of Life Sciences, Center for Bioinformatics, Peking University, Beijing 100871, China.
Manyuan LongDepartment of Ecology and Evolution, The University of Chicago, Chicago, Illinois 60637, USA.
Yong E ZhangKey Laboratory of Zoological Systematics and Evolution and State Key Laboratory of Integrated Management of Pest Insects and Rodents, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China.
Chinese Academy of Sciences · CNPeking University · CNChongqing University · CNHoward Hughes Medical Institute · USHunan University of Technology · CNUniversity of Chicago · USWuhan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The origination of new genes contributes to phenotypic evolution in humans. Two major challenges in the study of new genes are the inference of gene ages and annotation of their protein-coding potential. To tackle these challenges, we created GenTree, an integrated online database that compiles age inferences from three major methods together with functional genomic data for new genes. Genome-wide comparison of the age inference methods revealed that the synteny-based pipeline (SBP) is most suited for recently duplicated genes, whereas the protein-family-based methods are useful for ancient genes. For SBP-dated primate-specific protein-coding genes (PSGs), we performed manual evaluation based on published PSG lists and showed that SBP generated a conservative data set of PSGs by masking less reliable syntenic regions. After assessing the coding potential based on evolutionary constraint and peptide evidence from proteomic data, we curated a list of 254 PSGs with different levels of protein evidence. This list also includes 41 candidate misannotated pseudogenes that encode primate-specific short proteins. Coexpression analysis showed that PSGs are preferentially recruited into organs with rapidly evolving pathways such as spermatogenesis, immune response, mother-fetus interaction, and brain development. For brain development, primate-specific KRAB zinc-finger proteins (KZNFs) are specifically up-regulated in the mid-fetal stage, which may have contributed to the evolution of this critical stage. Altogether, hundreds of PSGs are either recruited to processes under strong selection pressure or to processes supporting an evolving novel organ.

Indexed as

Evolution, MolecularSoftwareAnimalsBrainHumansOpen Reading FramesPrimatesProteomeSequence Analysis, DNASyntenyProteome

Identifiers

PMID30862647
PMCPMC6442393
OpenAlexW2921723567

What OpenQuestion holds

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Registered trials

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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.