Evidence map›Paper›PMID 23845136›Full record

ArticleBMC genomics2013

Analysis and annotation of the hexaploid oat seed transcriptome.

Juan J Gutierrez-Gonzalez, Zheng Jin Tu, David F Garvin

Abstract read
In one paragraph

Article in BMC genomics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing 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

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

39 citing papers in PubMed.

  1. Genome-wide identification of oatFrontiers in genetics · 2025
    Article
  2. Article
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  6. OMICS in Fodder Crops: Applications, Challenges, and Prospects.Current issues in molecular biology · 2022
    Review
  7. Article
  8. Article
  9. Article
  10. Multiple Antioxidative and Bioactive Molecules of Oats (Antioxidants (Basel, Switzerland) · 2021
    Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
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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.

Juan J Gutierrez-GonzalezUSDA-ARS Plant Science Research Unit and Department of Agronomy and Plant Genetics, University of Minnesota, St Paul, MN 55108, USA.
Zheng Jin Tu
David F Garvin

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNext generation sequencing provides new opportunities to explore transcriptomes. However, challenges remain for accurate differentiation of homoeoalleles and paralogs, particularly in polyploid organisms with no supporting genome sequence. In this study, RNA-Seq was employed to generate and characterize the first gene expression atlas for hexaploid oat.

resultsThe software packages Trinity and Oases were used to produce a transcript assembly from nearly 134 million 100-bp paired-end reads from developing oat seeds. Based on the quality-parameters employed, Oases assemblies were superior. The Oases 67-kmer assembly, denoted dnOST (de novo Oat Seed Transcriptome), is over 55 million nucleotides in length and the average transcript length is 1,043 nucleotides. The 74.8× sequencing depth was adequate to differentiate a large proportion of putative homoeoalleles and paralogs. To assess the robustness of dnOST, we successfully identified gene transcripts associated with the biosynthetic pathways of three compounds with health-promoting properties (avenanthramides, tocols, β-glucans), and quantified their expression.

conclusionsTo our knowledge, this study provides the first direct performance comparison between two major assemblers in a polyploid organism. The workflow we developed provides a useful guide for comparable analyses in other organisms. The transcript assembly developed here is a major advance. It expands the number of oat ESTs 3-fold, and constitutes the first comprehensive transcriptome study in oat. This resource will be a useful new tool both for analysis of genes relevant to nutritional enhancement of oat, and for improvement of this crop in general.

Indexed as

Gene Expression ProfilingMolecular Sequence AnnotationPolyploidyAvenaHigh-Throughput Nucleotide SequencingMicrosatellite RepeatsSeeds

Identifiers

PMID23845136
PMCPMC3720263

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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.