Evidence map›Paper›PMID 25364374›Full record

ArticlePlant methods2014

Next generation sequencing and de novo transcriptomics to study gene evolution.

Achala S Jayasena, David Secco, Kalia Bernath-Levin, Oliver Berkowitz, James Whelan, Joshua S Mylne

Abstract read
In one paragraph

Article in Plant methods, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Review
  2. Article
  3. Plant derived cyclic peptides.Biochemical Society transactions · 2021
    Review
  4. Article
  5. Article
  6. Integrated Analysis of the Transcriptome and Metabolome ofInternational journal of molecular sciences · 2020
    Article
  7. Impact of arbuscular mycorrhizal fungi (AMF) on gene expression of some cell wall and membrane elements of wheat (Physiology and molecular biology of plants : an international journal of functional plant biology · 2020
    Article
  8. Article
  9. Article
  10. Article
  11. A tripartite approach identifies the major sunflower seed albumins.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2016
    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

6 authors.

Achala S JayasenaThe University of Western Australia, School of Chemistry and Biochemistry & ARC Centre of Excellence in Plant Energy Biology, 35 Stirling Highway, Crawley Perth, 6009 Australia.
David SeccoThe University of Western Australia, School of Chemistry and Biochemistry & ARC Centre of Excellence in Plant Energy Biology, 35 Stirling Highway, Crawley Perth, 6009 Australia.
Kalia Bernath-LevinThe University of Western Australia, School of Chemistry and Biochemistry & ARC Centre of Excellence in Plant Energy Biology, 35 Stirling Highway, Crawley Perth, 6009 Australia.
Oliver BerkowitzThe University of Western Australia, School of Chemistry and Biochemistry & ARC Centre of Excellence in Plant Energy Biology, 35 Stirling Highway, Crawley Perth, 6009 Australia ; The University of Western Australia, School of Plant Biology, 35 Stirling Highway, Crawley Perth, 6009 Australia.
James WhelanLa Trobe University, Department of Botany, School of Life Sciences & ARC Centre of Excellence in Plant Energy Biology, AgriBio, the Centre for AgriBioscience, 5 Ring Road, Melbourne, Bundoora Victoria 3086 Australia.
Joshua S MylneThe University of Western Australia, School of Chemistry and Biochemistry & ARC Centre of Excellence in Plant Energy Biology, 35 Stirling Highway, Crawley Perth, 6009 Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStudying gene evolution in non-model species by PCR-based approaches is limited to highly conserved genes. The plummeting cost of next generation sequencing enables the application of de novo transcriptomics to any species.

resultsHere we describe how to apply de novo transcriptomics to pursue the evolution of a single gene of interest. We follow a rapidly evolving seed protein that encodes small, stable peptides. We use software that needs limited bioinformatics background and assemble four de novo seed transcriptomes. To demonstrate the quality of the assemblies, we confirm the predicted genes at the peptide level on one species which has over ten copies of our gene of interest. We explain strategies that favour assembly of low abundance genes, what assembly parameters help capture the maximum number of transcripts, how to develop a suite of control genes to test assembly quality and we compare several sequence depths to optimise cost and data volume.

conclusionsDe novo transcriptomics is an effective approach for studying gene evolution in species for which genome support is lacking.

Indexed as

Cyclic peptidesDe novo transcriptomicsGene evolutionPawS1

Identifiers

PMID25364374
PMCPMC4216380

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.