Evidence map›Paper›PMID 29713366›Full record

ArticlePlant methods2018

Accurate and easy method for systemin quantification and examining metabolic changes under different endogenous levels.

Victoria Pastor, Paloma Sánchez-Bel, Jordi Gamir, María J Pozo, Víctor Flors

Open access · goldAbstract read
In one paragraph

Article in Plant methods, 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
2.3field-weighted citation impact, top 13% 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, 22 citations in OpenAlex.

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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

5 authors at 2 institutions in 1 country.

Victoria Pastor1Associated Unit EEZ-UJI. Metabolic Integration and Cell Signaling Laboratory, Plant Physiology Section, Universitat Jaume I, Associated Unit to the CSIC, Castellón de la Plana, Castellón Spain.ORCID 0000-0003-3750-4184
Paloma Sánchez-Bel1Associated Unit EEZ-UJI. Metabolic Integration and Cell Signaling Laboratory, Plant Physiology Section, Universitat Jaume I, Associated Unit to the CSIC, Castellón de la Plana, Castellón Spain.
Jordi Gamir2Department of Soil Microbiology and Symbiotic Systems, Estacion Experimental del Zaidin (CSIC), Granada, Spain.
María J Pozo2Department of Soil Microbiology and Symbiotic Systems, Estacion Experimental del Zaidin (CSIC), Granada, Spain.
Víctor Flors1Associated Unit EEZ-UJI. Metabolic Integration and Cell Signaling Laboratory, Plant Physiology Section, Universitat Jaume I, Associated Unit to the CSIC, Castellón de la Plana, Castellón Spain.
Universitat Jaume I · ESEstación Experimental del Zaidín · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSystemin has been extensively studied since it was discovered and is described as a peptidic hormone in tomato plants and other

resultsIn this study, a simple and accurate method for systemin quantification was developed to understand its impact on plant metabolism. The basal levels of systemin were found to be extremely low. To study the role of endogenous systemin on plant metabolism, systemin was quantified in a transgenic line overexpressing the

conclusionsA simple method, requiring notably little sample manipulation to quantify the peptide SYS, is described. Previous studies were based on genetic changes. In our study, SYS accumulated at extremely low levels in wild-type tomato leaves, showed slightly higher levels in the PROSYSTEMIN-overexpressing plants and was absent in the silenced lines. These small changes have a significant impact on plant metabolism. SA and OPDA, but not JA, were higher in the PROSYS-overexpressing plants.

Identifiers

PMID29713366
PMCPMC5918566
OpenAlexW2805404518

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Registered trials

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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.