Evidence map›Paper›PMID 36183028›Full record

ArticleScientific reports2022

Metabolic, physiological and anatomical responses of soybean plants under water deficit and high temperature condition.

Roberto Gomes Vital, Caroline Müller, Francisco Bruno Silva Freire, Fábia Barbosa Silva, Priscila Ferreira Batista, David Fuentes, Arthur Almeida Rodrigues, Luciana Minervina Freitas Moura, Danilo Menezes Daloso, Adinan Alves Silva and 2 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
7.6field-weighted citation impact, top 3% 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

15 citing papers in PubMed, 39 citations in OpenAlex.

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  14. Improvement of heat stress tolerance in soybean (Frontiers in plant science · 2022
    Review
  15. Protective enzyme activity regulation in cotton (Frontiers in plant science · 2022
    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

12 authors at 3 institutions in 2 countries.

Roberto Gomes Vital *Laboratório de Ecofisiologia e Produtividade Vegetal, Instituto Federal Goiano - Campus Rio Verde, Caixa Postal 66, Rio Verde, GO, 75901-970, Brazil.
Caroline Müller *Laboratório de Ecofisiologia e Produtividade Vegetal, Instituto Federal Goiano - Campus Rio Verde, Caixa Postal 66, Rio Verde, GO, 75901-970, Brazil.
Francisco Bruno Silva FreireLabPlant, Departamento de Bioquímica e Biologia Molecular, Universidade Federal do Ceará, Fortaleza, CE, 60451-970, Brazil.
Fábia Barbosa SilvaLaboratório de Ecofisiologia e Produtividade Vegetal, Instituto Federal Goiano - Campus Rio Verde, Caixa Postal 66, Rio Verde, GO, 75901-970, Brazil.
Priscila Ferreira BatistaLaboratório de Ecofisiologia e Produtividade Vegetal, Instituto Federal Goiano - Campus Rio Verde, Caixa Postal 66, Rio Verde, GO, 75901-970, Brazil.
David FuentesCentre for Carbon Water and Food, The University of Sydney, 380 Werombi Road, Camden, NSW, 2570, Australia.
Arthur Almeida RodriguesLaboratório de Anatomia Vegetal, Instituto Federal Goiano - Campus Rio Verde, Caixa Postal 66, Rio Verde, GO, 75901-970, Brazil.
Luciana Minervina Freitas MouraLaboratório de Ecofisiologia e Produtividade Vegetal, Instituto Federal Goiano - Campus Rio Verde, Caixa Postal 66, Rio Verde, GO, 75901-970, Brazil.
Danilo Menezes DalosoLabPlant, Departamento de Bioquímica e Biologia Molecular, Universidade Federal do Ceará, Fortaleza, CE, 60451-970, Brazil.
Adinan Alves SilvaLaboratório de Ecofisiologia e Produtividade Vegetal, Instituto Federal Goiano - Campus Rio Verde, Caixa Postal 66, Rio Verde, GO, 75901-970, Brazil.
Andrew MerchantCentre for Carbon Water and Food, The University of Sydney, 380 Werombi Road, Camden, NSW, 2570, Australia.
Alan Carlos CostaLaboratório de Ecofisiologia e Produtividade Vegetal, Instituto Federal Goiano - Campus Rio Verde, Caixa Postal 66, Rio Verde, GO, 75901-970, Brazil. alan.costa@ifgoiano.edu.br.
Instituto Federal Goiano · BRUniversidade Federal do Ceará · BRUniversity of Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Water deficit (WD) combined with high temperature (HT) is the major factor limiting agriculture worldwide, and it is predicted to become worse according to the current climate change scenario. It is thus important to understand how current cultivated crops respond to these stress conditions. Here we investigated how four soybean cultivars respond to WD and HT isolated or in combination at metabolic, physiological, and anatomical levels. The WD + HT increased the level of stress in soybean plants when compared to plants under well-watered (WW), WD, or HT conditions. WD + HT exacerbates the increases in ascorbate peroxidase activity, which was associated with the greater photosynthetic rate in two cultivars under WD + HT. The metabolic responses to WD + HT diverge substantially from plants under WW, WD, or HT conditions. Myo-inositol and maltose were identified as WD + HT biomarkers and were connected to subnetworks composed of catalase, amino acids, and both root and leaf osmotic potentials. Correlation-based network analyses highlight that the network heterogeneity increased and a higher integration among metabolic, physiological, and morphological nodes is observed under stress conditions. Beyond unveiling biochemical and metabolic WD + HT biomarkers, our results collectively highlight that the mechanisms behind the acclimation to WD + HT cannot be understood by investigating WD or HT stress separately.

Indexed as

Glycine maxWaterAmino AcidsAscorbate PeroxidasesCatalaseInositolMaltoseStress, PhysiologicalTemperatureAmino AcidsAscorbate PeroxidasesCatalaseInositolMaltoseWater

Identifiers

PMID36183028
PMCPMC9526742
OpenAlexW4298396001

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.