Evidence map›Paper›PMID 29988592›Full record

ArticleFrontiers in plant science2018

Metabolite Profiles of Sugarcane Culm Reveal the Relationship Among Metabolism and Axillary Bud Outgrowth in Genetically Related Sugarcane Commercial Cultivars.

Danilo A Ferreira, Marina C M Martins, Adriana Cheavegatti-Gianotto, Monalisa S Carneiro, Rodrigo R Amadeu, Juliana A Aricetti, Lucia D Wolf, Hermann P Hoffmann, Luis G F de Abreu, Camila Caldana

Abstract read
In one paragraph

Article in Frontiers in plant science, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
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  5. Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. BRANCHED1: A Key Hub of Shoot Branching.Frontiers in plant science · 2019
    Review
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

10 authors.

Danilo A FerreiraBrazilian Bioethanol Science and Technology Laboratory, Centro Nacional de Pesquisa em Energia e Materiais, Campinas, Brazil.
Marina C M MartinsBrazilian Bioethanol Science and Technology Laboratory, Centro Nacional de Pesquisa em Energia e Materiais, Campinas, Brazil.
Adriana Cheavegatti-GianottoBrazilian Bioethanol Science and Technology Laboratory, Centro Nacional de Pesquisa em Energia e Materiais, Campinas, Brazil.
Monalisa S CarneiroDepartment of Biotechnology and Plant and Animal Production, Center for Agricultural Sciences, Federal University of São Carlos, São Carlos, Brazil.
Rodrigo R AmadeuDepartment of Genetics, Luiz de Queiroz College of Agriculture, University of São Paulo, Piracicaba, Brazil.
Juliana A AricettiBrazilian Bioethanol Science and Technology Laboratory, Centro Nacional de Pesquisa em Energia e Materiais, Campinas, Brazil.
Lucia D WolfBrazilian Bioethanol Science and Technology Laboratory, Centro Nacional de Pesquisa em Energia e Materiais, Campinas, Brazil.
Hermann P HoffmannDepartment of Biotechnology and Plant and Animal Production, Center for Agricultural Sciences, Federal University of São Carlos, São Carlos, Brazil.
Luis G F de AbreuBrazilian Bioethanol Science and Technology Laboratory, Centro Nacional de Pesquisa em Energia e Materiais, Campinas, Brazil.
Camila CaldanaBrazilian Bioethanol Science and Technology Laboratory, Centro Nacional de Pesquisa em Energia e Materiais, Campinas, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metabolic composition is known to exert influence on several important agronomic traits, and metabolomics, which represents the chemical composition in a cell, has long been recognized as a powerful tool for bridging phenotype-genotype interactions. In this work, sixteen truly representative sugarcane Brazilian varieties were selected to explore the metabolic networks in buds and culms, the tissues involved in the vegetative propagation of this species. Due to the fact that bud sprouting is a key trait determining crop establishment in the field, the sprouting potential among the genotypes was evaluated. The use of partial least square discriminant analysis indicated only mild differences on bud outgrowth potential under controlled environmental conditions. However, primary metabolite profiling provided information on the variability of metabolic features even under a narrow genetic background, typical for modern sugarcane cultivars. Metabolite-metabolite correlations within and between tissues revealed more complex patterns for culms in relation to buds, and enabled the recognition of key metabolites (e.g., sucrose, putrescine, glutamate, serine, and myo-inositol) affecting sprouting ability. Finally, those results were associated with the genetic background of each cultivar, showing that metabolites can be potentially used as indicators for the genetic background.

Indexed as

breedingbud outgrowthmetabolic networkmetabolomesugarcane

Identifiers

PMID29988592
PMCPMC6027322

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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.