Evidence map›Paper›PMID 26820137›Full record

ArticlePlant molecular biology2016

Co-expression network analysis reveals transcription factors associated to cell wall biosynthesis in sugarcane.

Savio Siqueira Ferreira, Carlos Takeshi Hotta, Viviane Guzzo de Carli Poelking, Debora Chaves Coelho Leite, Marcos Silveira Buckeridge, Marcelo Ehlers Loureiro, Marcio Henrique Pereira Barbosa, Monalisa Sampaio Carneiro, Glaucia Mendes Souza

Abstract read
In one paragraph

Article in Plant molecular biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed, 1 pooled it
–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

40 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
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  8. Article
  9. NetREx: Network-based Rice Expression Analysis Server for abiotic stress conditions.Database : the journal of biological databases and curation · 2022
    Article
  10. Transcriptome changes in the developing sugarcane culm associated with high yield and early-season high sugar content.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2022
    Article
  11. Gene Co-expression Network Analysis.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  12. Visualization of Suberization and Lignification in Sugarcane.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Modern Approaches for Transcriptome Analyses in Plants.Advances in experimental medicine and biology · 2021
    Article
  18. Article
  19. Review
  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.

Savio Siqueira FerreiraInstituto de Química, Universidade de São Paulo, São Paulo, Brazil.
Carlos Takeshi HottaInstituto de Química, Universidade de São Paulo, São Paulo, Brazil.
Viviane Guzzo de Carli PoelkingDepartamento de Biologia Vegetal, Universidade Federal de Viçosa, Viçosa, Brazil.
Debora Chaves Coelho LeiteInstituto de Biociências, Universidade de São Paulo, São Paulo, Brazil.
Marcos Silveira BuckeridgeInstituto de Biociências, Universidade de São Paulo, São Paulo, Brazil.
Marcelo Ehlers LoureiroDepartamento de Biologia Vegetal, Universidade Federal de Viçosa, Viçosa, Brazil.
Marcio Henrique Pereira BarbosaDepartamento de Fitotecnia, Universidade Federal de Viçosa, Viçosa, Brazil.
Monalisa Sampaio CarneiroCentro de Ciências Agrárias, Universidade Federal de São Carlos, São Carlos, Brazil.
Glaucia Mendes SouzaInstituto de Química, Universidade de São Paulo, São Paulo, Brazil. glmsouza@iq.usp.br.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sugarcane is a hybrid of Saccharum officinarum and Saccharum spontaneum, with minor contributions from other species in Saccharum and other genera. Understanding the molecular basis of cell wall metabolism in sugarcane may allow for rational changes in fiber quality and content when designing new energy crops. This work describes a comparative expression profiling of sugarcane ancestral genotypes: S. officinarum, S. spontaneum and S. robustum and a commercial hybrid: RB867515, linking gene expression to phenotypes to identify genes for sugarcane improvement. Oligoarray experiments of leaves, immature and intermediate internodes, detected 12,621 sense and 995 antisense transcripts. Amino acid metabolism was particularly evident among pathways showing natural antisense transcripts expression. For all tissues sampled, expression analysis revealed 831, 674 and 648 differentially expressed genes in S. officinarum, S. robustum and S. spontaneum, respectively, using RB867515 as reference. Expression of sugar transporters might explain sucrose differences among genotypes, but an unexpected differential expression of histones were also identified between high and low Brix° genotypes. Lignin biosynthetic genes and bioenergetics-related genes were up-regulated in the high lignin genotype, suggesting that these genes are important for S. spontaneum to allocate carbon to lignin, while S. officinarum allocates it to sucrose storage. Co-expression network analysis identified 18 transcription factors possibly related to cell wall biosynthesis while in silico analysis detected cis-elements involved in cell wall biosynthesis in their promoters. Our results provide information to elucidate regulatory networks underlying traits of interest that will allow the improvement of sugarcane for biofuel and chemicals production.

Indexed as

Amino AcidsCarbonCell WallGene Expression Regulation, PlantGenotypeLignansNitrogenPhenotypePlant ProteinsPromoter Regions, GeneticProtein Array AnalysisSaccharumTranscription FactorsTranscriptomeAmino AcidsCarbonLignansNitrogenPlant ProteinsTranscription FactorsCell wallCo-expression networkExpression profilingLigninSugarcaneTranscription factors

Identifiers

PMID26820137
PMCPMC4837222

What OpenQuestion holds

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LicenceCC BY
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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.