Evidence map›Paper›PMID 23091603›Full record

ArticlePloS one2012

De novo assembly, characterization and functional annotation of pineapple fruit transcriptome through massively parallel sequencing.

Wen Dee Ong, Lok-Yung Christopher Voo, Vijay Subbiah Kumar

Abstract read
In one paragraph

Article in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

21 citing papers in PubMed.

  1. Cysteine Peptidases ofCurrent protein & peptide science · 2025
    Review
  2. Article
  3. Article
  4. Article
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  6. Article
  7. The draft genome of MD-2 pineapple using hybrid error correction of long reads.DNA research : an international journal for rapid publication of reports on genes and genomes · 2016
    Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
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  15. Towards an improved apple reference transcriptome using RNA-seq.Molecular genetics and genomics : MGG · 2014
    Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. 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.

Wen Dee OngBiotechnology Research Institute, Universiti Malaysia Sabah, Kota Kinabalu, Sabah, Malaysia.
Lok-Yung Christopher Voo
Vijay Subbiah Kumar

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPineapple (Ananas comosus var. comosus), is an important tropical non-climacteric fruit with high commercial potential. Understanding the mechanism and processes underlying fruit ripening would enable scientists to enhance the improvement of quality traits such as, flavor, texture, appearance and fruit sweetness. Although, the pineapple is an important fruit, there is insufficient transcriptomic or genomic information that is available in public databases. Application of high throughput transcriptome sequencing to profile the pineapple fruit transcripts is therefore needed. METHODOLOGY/PRINCIPAL

findingsTo facilitate this, we have performed transcriptome sequencing of ripe yellow pineapple fruit flesh using Illumina technology. About 4.7 millions Illumina paired-end reads were generated and assembled using the Velvet de novo assembler. The assembly produced 28,728 unique transcripts with a mean length of approximately 200 bp. Sequence similarity search against non-redundant NCBI database identified a total of 16,932 unique transcripts (58.93%) with significant hits. Out of these, 15,507 unique transcripts were assigned to gene ontology terms. Functional annotation against Kyoto Encyclopedia of Genes and Genomes pathway database identified 13,598 unique transcripts (47.33%) which were mapped to 126 pathways. The assembly revealed many transcripts that were previously unknown.

conclusionsThe unique transcripts derived from this work have rapidly increased of the number of the pineapple fruit mRNA transcripts as it is now available in public databases. This information can be further utilized in gene expression, genomics and other functional genomics studies in pineapple.

Indexed as

High-Throughput Nucleotide SequencingMolecular Sequence AnnotationTranscriptomeAnanasBiosynthetic PathwaysComputational BiologyFruitMolecular Sequence DataQuantitative Trait, Heritable

Identifiers

PMID23091603
PMCPMC3473051

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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.