Evidence map›Paper›PMID 29556065›Full record

ArticleScientific reports2018

Integrative analysis of large scale transcriptome data draws a comprehensive landscape of Phaeodactylum tricornutum genome and evolutionary origin of diatoms.

Achal Rastogi, Uma Maheswari, Richard G Dorrell, Fabio Rocha Jimenez Vieira, Florian Maumus, Adam Kustka, James McCarthy, Andy E Allen, Paul Kersey, Chris Bowler and 1 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers.

0numbers the graph read from it
0cells of the map it votes in
62citing papers in PubMed
6.7field-weighted citation impact, top 2% 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

62 citing papers in PubMed, 133 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Localization of heme biosynthesis in the diatomFrontiers in plant science · 2025
    Article
  14. Article
  15. Article
  16. Article
  17. Comparative RNA-Seq of TenMarine drugs · 2024
    Article
  18. Article
  19. Article
  20. Article

2 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

11 authors at 5 institutions in 3 countries.

Achal RastogiInstitut de biologie de l'Ecole normale supérieure (IBENS), Ecole normale supérieure, CNRS, INSERM, PSL Université, 75005, Paris, France.
Uma MaheswariEMBL-EBI, Wellcome Trust Genome Campus, Cambridge, CB10 1 SD, United Kingdom.
Richard G DorrellInstitut de biologie de l'Ecole normale supérieure (IBENS), Ecole normale supérieure, CNRS, INSERM, PSL Université, 75005, Paris, France.
Fabio Rocha Jimenez VieiraInstitut de biologie de l'Ecole normale supérieure (IBENS), Ecole normale supérieure, CNRS, INSERM, PSL Université, 75005, Paris, France.
Florian MaumusURGI, INRA, Université Paris-Saclay, Versailles, 78026, France.
Adam KustkaEarth and Environmental Sciences, Rutgers University, 101 Warren Street, 07102, Newark, New Jersey, USA.
James McCarthyJ. Craig Venter Institute, 10355 Science Center Drive, 92121, San Diego, California, USA.
Andy E AllenJ. Craig Venter Institute, 10355 Science Center Drive, 92121, San Diego, California, USA.ORCID 0000-0001-5911-6081
Paul KerseyEMBL-EBI, Wellcome Trust Genome Campus, Cambridge, CB10 1 SD, United Kingdom.
Chris BowlerInstitut de biologie de l'Ecole normale supérieure (IBENS), Ecole normale supérieure, CNRS, INSERM, PSL Université, 75005, Paris, France. cbowler@biologie.ens.fr.
Leila TirichineInstitut de biologie de l'Ecole normale supérieure (IBENS), Ecole normale supérieure, CNRS, INSERM, PSL Université, 75005, Paris, France. tirichin@biologie.ens.fr.
Centre National de la Recherche Scientifique · FREuropean Bioinformatics Institute · GBJ. Craig Venter Institute · USRutgers, The State University of New Jersey · USUniversité Paris-Saclay · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diatoms are one of the most successful and ecologically important groups of eukaryotic phytoplankton in the modern ocean. Deciphering their genomes is a key step towards better understanding of their biological innovations, evolutionary origins, and ecological underpinnings. Here, we have used 90 RNA-Seq datasets from different growth conditions combined with published expressed sequence tags and protein sequences from multiple taxa to explore the genome of the model diatom Phaeodactylum tricornutum, and introduce 1,489 novel genes. The new annotation additionally permitted the discovery of extensive alternative splicing in diatoms, including intron retention and exon skipping, which increase the diversity of transcripts generated in changing environments. In addition, we have used up-to-date reference sequence libraries to dissect the taxonomic origins of diatom genes. We show that the P. tricornutum genome is enriched in lineage-specific genes, with up to 47% of the gene models present only possessing orthologues in other stramenopile groups. Finally, we have performed a comprehensive de novo annotation of repetitive elements showing novel classes of transposable elements such as SINE, MITE and TRIM/LARD. This work provides a solid foundation for future studies of diatom gene function, evolution and ecology.

Indexed as

Evolution, MolecularGene Expression ProfilingDiatomsIntronsModels, GeneticMolecular Sequence AnnotationProteomicsTerminal Repeat Sequences

Identifiers

PMID29556065
PMCPMC5859163
OpenAlexW2949231922

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.