Evidence map›Paper›PMID 24520158›Full record

ArticlePlant physiology2014

Evolution of gene structural complexity: an alternative-splicing-based model accounts for intron-containing retrogenes.

Chengjun Zhang, Andrea R Gschwend, Yidan Ouyang, Manyuan Long

Abstract read
In one paragraph

Article in Plant physiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

16 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Rapid Genome Evolution and Adaptation ofFrontiers in plant science · 2021
    Article
  9. Improved ontology for eukaryotic single-exon coding sequences in biological databases.Database : the journal of biological databases and curation · 2018
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Evolutionary Character of Alternative Splicing in Plants.Bioinformatics and biology insights · 2015
    Review
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

4 authors.

Chengjun ZhangDepartment of Ecology and Evolution, University of Chicago, Chicago, Illinois 60637.
Andrea R Gschwend
Yidan Ouyang
Manyuan Long

Funding

Re-Engineering Translational Research at the University of ChicagoUL1TR000430 · NCATS · UNIVERSITY OF CHICAGO · PI SOLWAY, JULIAN · 2012 to 2016
$20.2M
NCATS NIH HHS UL1 TR000430
6 · The paper itself

Abstract

The structure of eukaryotic genes evolves extensively by intron loss or gain. Previous studies have revealed two models for gene structure evolution through the loss of introns: RNA-based gene conversion, dubbed the Fink model and retroposition model. However, retrogenes that experienced both intron loss and intron-retaining events have been ignored; evolutionary processes responsible for the variation in complex exon-intron structure were unknown. We detected hundreds of retroduplication-derived genes in human (Homo sapiens), fly (Drosophila melanogaster), rice (Oryza sativa), and Arabidopsis (Arabidopsis thaliana) and categorized them either as duplicated genes that have all introns lost or as duplicated genes that have at least lost one and retained one intron compared with the parental copy (intron-retaining [IR] type). Our new model attributes intron retention alternative splicing to the generation of these IR-type gene pairs. We presented 25 parental genes that have an intron retention isoform and have retained introns in the same locations in the IR-type duplicate genes, which directly support our hypothesis. Our alternative-splicing-based model in conjunction with the retroposition and Fink models can explain the IR-type gene observed. We discovered a greater percentage of IR-type genes in plants than in animals, which may be due to the abundance of intron retention cases in plants. Given the prevalence of intron retention in plants, this new model gives a support that plant genomes have very complex gene structures.

Indexed as

Evolution, MolecularGenes, PlantModels, GeneticAlternative SplicingAnimalsArabidopsisGene ConversionGene DuplicationGenes, DuplicateHumansIntronsOryzaProtein IsoformsRetroelementsProtein IsoformsRetroelements

Identifiers

PMID24520158
PMCPMC4012599

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.