Evidence map›Paper›PMID 29378628›Full record

ArticleBMC research notes2018

Activation of MAP kinases by green leaf volatiles in grasses.

James E Dombrowski, Ruth C Martin

Open access · goldAbstract read
In one paragraph

Article in BMC research notes, 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
2.8field-weighted citation impact, top 11% 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, 20 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

2 authors at 1 institution in 1 country.

James E DombrowskiUSDA-ARS, National Forage Seed Production Research Center, 3450 SW Campus Way, Corvallis, OR, 97331-7102, USA. Jim.Dombrowski@ars.usda.gov.
Ruth C MartinUSDA-ARS, National Forage Seed Production Research Center, 3450 SW Campus Way, Corvallis, OR, 97331-7102, USA.
National Forage Seed Production Research Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivePreviously we have shown that mechanical wounding and volatiles released from cut grass, activated a 46 and 44 kDa mitogen-activated protein kinase (MAPK) in the model grass species Lolium temulentum (Lt). MAPKs play an important role as signal relays that connect incoming stress signals and stress responses. Since green leaf volatiles (GLV) are released during wounding, we wanted determine if specific compounds contained in the GLV mixture or if GLV generated from other plant species could activate these Lt MAPKs.

resultsOur analysis found that just a 1-min exposure to GLV was enough to activate the Lt 46 kDa MAPK within 3 min and the 44 kDa MAPK within 15 min. This activation pattern showed similar kinetics to those observed after wounding, and the GLV and wound activated bands associated with these MAPKs displayed identical migration on sodium dodecyl sulfate polyacrylamide gels. Thirteen different commercially available plant volatiles (alcohols, aldehydes and ketones) were tested and all thirteen volatile compounds were able to activate these same Lt MAPKs. Furthermore, GLV derived from three other grass species as well as tomato, a dicot, were also shown to activate these MAPKs in Lt.

Indexed as

Electrophoresis, Polyacrylamide GelEnzyme ActivationLoliumMitogen-Activated Protein KinasesMolecular WeightPlant LeavesPoaceaeSolanum lycopersicumSpecies SpecificityStress, MechanicalTime FactorsVolatile Organic CompoundsMitogen-Activated Protein KinasesVolatile Organic CompoundsGrassGreen leaf volatilesKinasesLoliumMAPKVolatilesWounding

Identifiers

PMID29378628
PMCPMC5789745
OpenAlexW2794686482

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.