Evidence map›Paper›PMID 34943959›Full record

ArticleCells2021

Planting Season Impacts Sugarcane Stem Development, Secondary Metabolite Levels, and Natural Antisense Transcription.

Maryke Wijma, Carolina Gimiliani Lembke, Augusto Lima Diniz, Luciane Santini, Leonardo Zambotti-Villela, Pio Colepicolo, Monalisa Sampaio Carneiro, Glaucia Mendes Souza

Open access · goldAbstract read
In one paragraph

Article in Cells, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 15% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. 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

8 authors at 2 institutions in 1 country.

Maryke WijmaDepartamento de Bioquímica, Instituto de Química, Universidade de São Paulo, São Paulo 05508-900, Brazil.ORCID 0000-0003-4502-7453
Carolina Gimiliani LembkeDepartamento de Bioquímica, Instituto de Química, Universidade de São Paulo, São Paulo 05508-900, Brazil.
Augusto Lima DinizDepartamento de Bioquímica, Instituto de Química, Universidade de São Paulo, São Paulo 05508-900, Brazil.ORCID 0000-0002-0407-1039
Luciane SantiniDepartamento de Bioquímica, Instituto de Química, Universidade de São Paulo, São Paulo 05508-900, Brazil.
Leonardo Zambotti-VillelaDepartamento de Bioquímica, Instituto de Química, Universidade de São Paulo, São Paulo 05508-900, Brazil.
Pio ColepicoloDepartamento de Bioquímica, Instituto de Química, Universidade de São Paulo, São Paulo 05508-900, Brazil.
Monalisa Sampaio CarneiroCentro de Ciências Agrárias, Departamento de Biotecnologia e Produção Vegetal e Animal, Universidade Federal de São Carlos, São Paulo 13600-970, Brazil.ORCID 0000-0002-9835-7205
Glaucia Mendes SouzaDepartamento de Bioquímica, Instituto de Química, Universidade de São Paulo, São Paulo 05508-900, Brazil.ORCID 0000-0001-6903-9913
Universidade de São Paulo · BRUniversidade Federal de São Carlos · BR

Funding

São Paulo Research Foundation #2014/50921-8;#2008/52146-0;2018/25788-3;2017/02270-6;#2018/09867-0
6 · The paper itself

Abstract

To reduce the potentially irreversible environmental impacts caused by fossil fuels, the use of renewable energy sources must be increased on a global scale. One promising source of biomass and bioenergy is sugarcane. The study of this crop's development in different planting seasons can aid in successfully cultivating it in global climate change scenarios. The sugarcane variety SP80-3280 was field grown under two planting seasons with different climatic conditions. A systems biology approach was taken to study the changes on physiological, morphological, agrotechnological, transcriptomics, and metabolomics levels in the leaf +1, and immature, intermediate and mature internodes. Most of the variation found within the transcriptomics and metabolomics profiles is attributed to the differences among the distinct tissues. However, the integration of both transcriptomics and metabolomics data highlighted three main metabolic categories as the principal sources of variation across tissues: amino acid metabolism, biosynthesis of secondary metabolites, and xenobiotics biodegradation and metabolism. Differences in ripening and metabolite levels mainly in leaves and mature internodes may reflect the impact of contrasting environmental conditions on sugarcane development. In general, the same metabolites are found in mature internodes from both "one-year" and "one-and-a-half-year sugarcane", however, some metabolites (i.e., phenylpropanoids with economic value) and natural antisense transcript expression are only detected in the leaves of "one-year" sugarcane.

Indexed as

Transcription, GeneticEdible GrainGene Expression Regulation, PlantPlant DevelopmentPlant LeavesPlant StemsRNA, AntisenseSaccharumSecondary MetabolismTranscriptomeRNA, Antisenseantisense expressionHPLC-MSmetabolomicsmulti-omics integrationoligoarraysecondary metabolismSP80-3280sugarcanesystems biologytranscriptomics

Identifiers

PMID34943959
PMCPMC8700069
OpenAlexW4200530870

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.