Evidence map›Paper›PMID 37384354›Full record

ArticleFrontiers in plant science2023

Osmoprotectants play a major role in the

Jorge Candido Rodrigues Neto, Fernanda Ferreira Salgado, Ítalo de Oliveira Braga, Thalliton Luiz Carvalho da Silva, Vivianny Nayse Belo Silva, André Pereira Leão, José Antônio de Aquino Ribeiro, Patrícia Verardi Abdelnur, Leonardo Fonseca Valadares, Carlos Antônio Ferreira de Sousa and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in plant science, 2023. 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
1.9field-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

10 citing papers in PubMed, 13 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Plants (Basel, Switzerland) · 2025
    Article
  5. Article
  6. Review
  7. Review
  8. Plant stress and proteomics in medicinal plants.Frontiers in plant science · 2025
    Review
  9. Response Mechanisms ofInternational journal of molecular sciences · 2024
    Article
  10. 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

11 authors at 2 institutions in 1 country.

Jorge Candido Rodrigues NetoThe Brazilian Agricultural Research Corporation, Embrapa Agroenergy, Brasília, DF, Brazil.
Fernanda Ferreira SalgadoGraduate Program of Plant Biotechnology, Federal University of Lavras, Lavras, MG, Brazil.
Ítalo de Oliveira BragaGraduate Program of Plant Biotechnology, Federal University of Lavras, Lavras, MG, Brazil.
Thalliton Luiz Carvalho da SilvaGraduate Program of Plant Biotechnology, Federal University of Lavras, Lavras, MG, Brazil.
Vivianny Nayse Belo SilvaGraduate Program of Plant Biotechnology, Federal University of Lavras, Lavras, MG, Brazil.
André Pereira LeãoThe Brazilian Agricultural Research Corporation, Embrapa Agroenergy, Brasília, DF, Brazil.
José Antônio de Aquino RibeiroThe Brazilian Agricultural Research Corporation, Embrapa Agroenergy, Brasília, DF, Brazil.
Patrícia Verardi AbdelnurThe Brazilian Agricultural Research Corporation, Embrapa Agroenergy, Brasília, DF, Brazil.
Leonardo Fonseca ValadaresThe Brazilian Agricultural Research Corporation, Embrapa Agroenergy, Brasília, DF, Brazil.
Carlos Antônio Ferreira de SousaThe Brazilian Agricultural Research Corporation, Embrapa Mid-North, Teresina, PI, Brazil.
Manoel Teixeira Souza JúniorThe Brazilian Agricultural Research Corporation, Embrapa Agroenergy, Brasília, DF, Brazil.
Brazilian Agricultural Research Corporation · BRUniversidade Federal de Lavras · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Purslane (Portulaca oleracea L.) is a non-conventional food plant used extensively in folk medicine and classified as a multipurpose plant species, serving as a source of features of direct importance to the agricultural and agri-industrial sectors. This species is considered a suitable model to study the mechanisms behind resistance to several abiotic stresses including salinity. The recently achieved technological developments in high-throughput biology opened a new window of opportunity to gain additional insights on purslane resistance to salinity stress-a complex, multigenic, and still not well-understood trait. Only a few reports on single-omics analysis (SOA) of purslane are available, and only one multi-omics integration (MOI) analysis exists so far integrating distinct omics platforms (transcriptomics and metabolomics) to characterize the response of purslane plants to salinity stress. Methods: The present study is a second step in building a robust database on the morpho-physiological and molecular responses purslane to salinity stress and its subsequent use in attempting to decode the genetics behind its resistance to this abiotic stress. Here, the characterization of the morpho-physiological responses of adult purslane plants to salinity stress and a metabolomics and proteomics integrative approach to study the changes at the molecular level in their leaves and roots is presented. Results and discussion: Adult plants of the B1 purslane accession lost approximately 50% of the fresh and dry weight (from shoots and roots) whensubmitted to very high salinity stress (2.0 g of NaCl/100 g of the substrate). The resistance to very high levels of salinity stress increases as the purslane plant matures, and most of the absorbed sodium remains in the roots, with only a part (~12%) reaching the shoots. Crystal-like structures, constituted mainly by Na

Indexed as

abiotic stressanalytical methodchemometricshigh resolution mass spectrometrymetabolomicsproteomicspurslanesalt tolerance

Identifiers

PMID37384354
PMCPMC10296175
OpenAlexW4380632370

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.