Evidence map›Paper›PMID 28981695›Full record

ArticleMolecular biology and evolution2017

A Comprehensive Analysis of Transcript-Supported De Novo Genes in Saccharomyces sensu stricto Yeasts.

Tzu-Chiao Lu, Jun-Yi Leu, Wen-Chang Lin

Open access · bronzeAbstract read
In one paragraph

Article in Molecular biology and evolution, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

18 citing papers in PubMed, 32 citations in OpenAlex.

  1. Review
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  5. Review
  6. IntraspecificNAR genomics and bioinformatics · 2022
    Article
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  15. Article
  16. De novo gene birth.PLoS genetics · 2019
    Article
  17. Article
  18. Tracing themBio · 2018
    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

3 authors at 2 institutions in 1 country.

Tzu-Chiao LuGraduate Institute of Life Sciences, National Defense Medical Center, Taipei, Taiwan.
Jun-Yi LeuGraduate Institute of Life Sciences, National Defense Medical Center, Taipei, Taiwan.
Wen-Chang LinGraduate Institute of Life Sciences, National Defense Medical Center, Taipei, Taiwan.
National Defense Medical Center · TWInstitute of Biomedical Sciences, Academia Sinica · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Novel genes arising from random DNA sequences (de novo genes) have been suggested to be widespread in the genomes of different organisms. However, our knowledge about the origin and evolution of de novo genes is still limited. To systematically understand the general features of de novo genes, we established a robust pipeline to analyze >20,000 transcript-supported coding sequences (CDSs) from the budding yeast Saccharomyces cerevisiae. Our analysis pipeline combined phylogeny, synteny, and sequence alignment information to identify possible orthologs across 20 Saccharomycetaceae yeasts and discovered 4,340 S. cerevisiae-specific de novo genes and 8,871 S. sensu stricto-specific de novo genes. We further combine information on CDS positions and transcript structures to show that >65% of de novo genes arose from transcript isoforms of ancient genes, especially in the upstream and internal regions of ancient genes. Fourteen identified de novo genes with high transcript levels were chosen to verify their protein expressions. Ten of them, including eight transcript isoform-associated CDSs, showed translation signals and five proteins exhibited specific cytosolic localizations. Our results suggest that de novo genes frequently arise in the S. sensu stricto complex and have the potential to be quickly integrated into ancient cellular network.

Indexed as

Base SequenceDatabases, Nucleic AcidEvolution, MolecularGenes, FungalMutation RatePhylogenySaccharomycesSaccharomyces cerevisiaeSequence AlignmentSequence Analysis, DNASyntenyde novo genenovel geneS. sensu stricto yeastsynteny analysistranscript isoformyeast evolutionyeast genomics

Identifiers

PMID28981695
PMCPMC5850716
OpenAlexW2739060139

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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.