Evidence map›Paper›PMID 39438542›Full record

ArticleScientific reports2024

Bioinformatic insights into sugar signaling pathways in sugarcane growth.

Lauana Pereira de Oliveira, João Pedro de Jesus Pereira, Bruno Viana Navarro, Marina C M Martins, Diego Mauricio Riaño-Pachón, Marcos Silveira Buckeridge

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Lauana Pereira de Oliveira *Laboratório de Fisiologia Ecológica de Plantas, Departamento de Botânica, Instituto de Biociências, Universidade de São Paulo, São Paulo, Brazil.ORCID 0000-0001-9622-7020
João Pedro de Jesus Pereira *Laboratório de Fisiologia Ecológica de Plantas, Departamento de Botânica, Instituto de Biociências, Universidade de São Paulo, São Paulo, Brazil.ORCID 0000-0002-7739-1324
Bruno Viana NavarroLaboratório de Fisiologia Ecológica de Plantas, Departamento de Botânica, Instituto de Biociências, Universidade de São Paulo, São Paulo, Brazil.ORCID 0000-0001-9289-4328
Marina C M MartinsLaboratório de Fisiologia Ecológica de Plantas, Departamento de Botânica, Instituto de Biociências, Universidade de São Paulo, São Paulo, Brazil.ORCID 0000-0001-9412-0545
Diego Mauricio Riaño-PachónLaboratório de Biologia Computacional, Evolutiva e de Sistemas, Centro de Energia Nuclear Na Agricultura, Universidade de São Paulo, Piracicaba, Brazil.ORCID 0000-0001-9803-3465
Marcos Silveira BuckeridgeLaboratório de Fisiologia Ecológica de Plantas, Departamento de Botânica, Instituto de Biociências, Universidade de São Paulo, São Paulo, Brazil. msbuck@usp.br.ORCID 0000-0002-5455-8136

Funding

Conselho Nacional de Desenvolvimento Científico e Tecnológico 115313/2019-2Conselho Nacional de Desenvolvimento Científico e Tecnológico 142090/2018-2Conselho Nacional de Desenvolvimento Científico e Tecnológico 310080/2018-5Fundação de Amparo à Pesquisa do Estado de São Paulo 2018/03764-5Fundação de Amparo à Pesquisa do Estado de São Paulo 2022/00441-6National Institute of Bioethanol Science and Technology - INCT of Bioethanol (FAPESP 2014/50884-5; CNPq 465319/2014-9)Research Center of Green House Gas Innovation 371055Research Center of Green House Gas Innovation (RCGI) (FAPESP 2014/50279-4; 2020/15230-5)
6 · The paper itself

Abstract

The SnRK1, hexokinase, and TORC1 (TOR, LST8, RAPTOR) are three pivotal kinases at the core of sugar level sensing, significantly impacting plant metabolism and development. We retrieved and analyzed protein sequences of these three kinase pathways from seven sugarcane transcriptome and genome datasets, identifying protein domains, phylogenetic relationships, sequence ancestry, and in silico expression levels. Additionally, we predicted HXK subcellular localization and assessed its enzymatic activity in sugarcane leaves and culms along development in the field. We retrieved 11 TOR, 23 RAPTOR, 55 LST8, 95 SnRK1α, 98 HXK, and 14 HXK-like putative full-length sequences containing all the conserved domains. Most of these transcripts seem to share a common origin with the three ancestral species of sugarcane: Saccharum officinarum, Saccharum spontaneum, and Saccharum barberi. We accessed the expression profile of sequences from one sugarcane transcriptome. We found the highest enzymatic activity of HXK in culms in the first month, which, at this stage, provides carbon (sucrose) and nitrogen (amino acids) for initial plant development. Our approach places novel sugar sensing sequences that work as a guideline for further research into the underlying signaling mechanisms and biotechnology applications in sugarcane.

Indexed as

Computational BiologyGene Expression Regulation, PlantPhylogenyPlant ProteinsSaccharumSignal TransductionHexokinaseSugarsTranscriptomeHexokinasePlant ProteinsSugarsBioinformaticsCarbohydratesHexokinaseSnRK1Sugar signaling kinasesTOR

Identifiers

PMID39438542
PMCPMC11496834

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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.