Evidence map›Paper›PMID 23555859›Full record

ArticlePloS one2013

RNA-Seq analysis of Cocos nucifera: transcriptome sequencing and de novo assembly for subsequent functional genomics approaches.

Haikuo Fan, Yong Xiao, Yaodong Yang, Wei Xia, Annaliese S Mason, Zhihui Xia, Fei Qiao, Songlin Zhao, Haoru Tang

Abstract read
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Article in PloS one, 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
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39citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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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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3 · Its place in the literature

Who cites it

39 citing papers in PubMed.

  1. Article
  2. When genes turn traitor:Frontiers in plant science · 2025
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  3. Elucidating the Mesocarp Drupe Transcriptome of Açai (International journal of molecular sciences · 2023
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  4. Review
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  7. Article
  8. Article
  9. Article
  10. G3 (Bethesda, Md.) · 2019
    Article
  11. Article
  12. Article
  13. Article
  14. Transcriptome sequencing and de novo assembly in arecanut,Biotechnology reports (Amsterdam, Netherlands) · 2018
    Article
  15. Article
  16. Article
  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

9 authors.

Haikuo FanCollege of Horticulture, Sichuan Agricultural University, Ya'an, Sichuang province, P.R. China.
Yong Xiao
Yaodong Yang
Wei Xia
Annaliese S Mason
Zhihui Xia
Fei Qiao
Songlin Zhao
Haoru Tang

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCocos nucifera (coconut), a member of the Arecaceae family, is an economically important woody palm grown in tropical regions. Despite its agronomic importance, previous germplasm assessment studies have relied solely on morphological and agronomical traits. Molecular biology techniques have been scarcely used in assessment of genetic resources and for improvement of important agronomic and quality traits in Cocos nucifera, mostly due to the absence of available sequence information. METHODOLOGY/PRINCIPAL

findingsTo provide basic information for molecular breeding and further molecular biological analysis in Cocos nucifera, we applied RNA-seq technology and de novo assembly to gain a global overview of the Cocos nucifera transcriptome from mixed tissue samples. Using Illumina sequencing, we obtained 54.9 million short reads and conducted de novo assembly to obtain 57,304 unigenes with an average length of 752 base pairs. Sequence comparison between assembled unigenes and released cDNA sequences of Cocos nucifera and Elaeis guineensis indicated that the assembled sequences were of high quality. Approximately 99.9% of unigenes were novel compared to the released coconut EST sequences. Using BLASTX, 68.2% of unigenes were successfully annotated based on the Genbank non-redundant (Nr) protein database. The annotated unigenes were then further classified using the Gene Ontology (GO), Clusters of Orthologous Groups (COG) and Kyoto Encyclopedia of Genes and Genomes (KEGG) databases. CONCLUSIONS/SIGNIFICANCE: Our study provides a large quantity of novel genetic information for Cocos nucifera. This information will act as a valuable resource for further molecular genetic studies and breeding in coconut, as well as for isolation and characterization of functional genes involved in different biochemical pathways in this important tropical crop species.

Indexed as

CocosDatabases, GeneticDNA, ComplementaryGene Expression ProfilingGenes, PlantGenomicsTranscriptomeDNA, Complementary

Identifiers

PMID23555859
PMCPMC3612046

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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.