Evidence map›Paper›PMID 24670056›Full record

ArticleBMC genomics2014

De novo transcriptome analysis of Hevea brasiliensis tissues by RNA-seq and screening for molecular markers.

Leonardo Rippel Salgado, Daniela Martins Koop, Daniel Guariz Pinheiro, Ronan Rivallan, Vincent Le Guen, Marisa Fabiana Nicolás, Luiz Gonzaga Paula de Almeida, Viviani Ribeiro Rocha, Milena Magalhães, Alexandra Lehmkuhl Gerber and 6 more

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
4.7field-weighted citation impact, top 4% of its field
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

28 citing papers in PubMed, 79 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Biosynthesis of Natural Rubber: Current State and Perspectives.International journal of molecular sciences · 2018
    Review
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Large-scale collection of full-length cDNA and transcriptome analysis in Hevea brasiliensis.DNA research : an international journal for rapid publication of reports on genes and genomes · 2017
    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

16 authors at 6 institutions in 2 countries.

Leonardo Rippel SalgadoDepartamento de Genética/FMRP/USP, Laboratório de Genética Molecular e Bioinformática, Rua Tenente Catão Roxo, 2501, CEP 14,051- 140 Ribeirão Preto, São Paulo, Brazil. lrippel@usp.br.
Daniela Martins Koop
Daniel Guariz Pinheiro
Ronan Rivallan
Vincent Le Guen
Marisa Fabiana Nicolás
Luiz Gonzaga Paula de Almeida
Viviani Ribeiro Rocha
Milena Magalhães
Alexandra Lehmkuhl Gerber
Antonio Figueira
Júlio Cézar de Mattos Cascardo
AnaTereza Ribeiro de Vasconcelos
Wilson Araújo Silva
Luiz Lehmann Coutinho
Dominique Garcia
Laboratório Nacional de Computação Científica · BRUniversidade de São Paulo · BRUniversidade Estadual de Santa Cruz · BRAgropolis International · FRCentre de Coopération Internationale en Recherche Agronomique pour le Développement · FRGenetic Improvement and Adaptation of Mediterranean and Tropical Plants · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe rubber tree, Hevea brasiliensis, is a species native to the Brazilian Amazon region and it supplies almost all the world's natural rubber, a strategic raw material for a variety of products. One of the major challenges for developing rubber tree plantations is adapting the plant to biotic and abiotic stress. Transcriptome analysis is one of the main approaches for identifying the complete set of active genes in a cell or tissue for a specific developmental stage or physiological condition.

resultsHere, we report on the sequencing, assembling, annotation and screening for molecular markers from a pool of H. brasiliensis tissues. A total of 17,166 contigs were successfully annotated. Then, 2,191 Single Nucleotide Variation (SNV) and 1.397 Simple Sequence Repeat (SSR) loci were discriminated from the sequences. From 306 putative, mainly non-synonymous SNVs located in CDS sequences, 191 were checked for their ability to characterize 23 Hevea genotypes by an allele-specific amplification technology. For 172 (90%), the nucleotide variation at the predicted genomic location was confirmed, thus validating the different steps from sequencing to the in silico detection of the SNVs.

conclusionsThis is the first study of the H. brasiliensis transcriptome, covering a wide range of tissues and organs, leading to the production of the first developed SNP markers. This process could be amplified to a larger set of in silico detected SNVs in expressed genes in order to increase the marker density in available and future genetic maps. The results obtained in this study will contribute to the H. brasiliensis genetic breeding program focused on improving of disease resistance and latex yield.

Indexed as

Genes, PlantCluster AnalysisContig MappingExpressed Sequence TagsGene Expression ProfilingGenetic LociGenetic MarkersGenotypeHeveaHigh-Throughput Nucleotide SequencingMicrosatellite RepeatsPolymorphism, Single NucleotideSequence Analysis, RNATranscriptomeGenetic Markers

Identifiers

PMID24670056
PMCPMC4051172
OpenAlexW1999991306

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.