Evidence map›Paper›PMID 21811850›Full record

ArticlePlant molecular biology2011

RNA-Seq analysis and de novo transcriptome assembly of Hevea brasiliensis.

Zhihui Xia, Huimin Xu, Jinling Zhai, Dejun Li, Hongli Luo, Chaozu He, Xi Huang

Abstract read
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Article in Plant molecular biology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 84 papers.

0numbers the graph read from it
0cells of the map it votes in
84citing 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

84 citing papers in PubMed.

  1. Article
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  18. Multiple facets of laticifer cells.Plant signaling & behavior · 2017
    Review
  19. Article
  20. Review

24 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

7 authors.

Zhihui XiaHainan Key Laboratory for Sustainable Utilization of Tropical Bioresources/Institute of BioScience and Technology, College of Agriculture, Hainan University, Haikou, 570228, People's Republic of China.
Huimin Xu
Jinling Zhai
Dejun Li
Hongli Luo
Chaozu He
Xi Huang

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hevea brasiliensis, being the only source of commercial natural rubber, is an extremely economically important crop. In an effort to facilitate biological, biochemical and molecular research in rubber biosynthesis, here we report the use of next-generation massively parallel sequencing technologies and de novo transcriptome assembly to gain a comprehensive overview of the H. brasiliensis transcriptome. The sequencing output generated more than 12 million reads with an average length of 90 nt. In total 48,768 unigenes (mean size = 436 bp, median size = 328 bp) were assembled through de novo transcriptome assembly. Out of 13,807 H. brasiliensis cDNA sequences deposited in Genbank of the National Center for Biotechnology Information (NCBI) (as of Feb 2011), 11,746 sequences (84.5%) could be matched with the assembled unigenes through nucleotide BLAST. The assembled sequences were annotated with gene descriptions, Gene Ontology (GO) and Clusters of Orthologous Group (COG) terms. In all, 37,432 unigenes were successfully annotated, of which 24,545 (65.5%) aligned to Ricinus communis proteins. Furthermore, the annotated uingenes were functionally classified according to the GO, COG and Kyoto Encyclopedia of Genes and Genomes databases. Our data provides the most comprehensive sequence resource available for the study of rubber trees as well as demonstrates effective use of Illumina sequencing and de novo transcriptome assembly in a species lacking genomic information.

Indexed as

TranscriptomeCluster AnalysisDNA, ComplementaryExpressed Sequence TagsHeveaLatexPlant LeavesRNA, PlantSequence Analysis, DNADNA, ComplementaryLatexRNA, Plant

Identifiers

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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.