Evidence map›Paper›PMID 30755189›Full record

ArticleBMC plant biology2019

Transcriptional profiling of methyl jasmonate-induced defense responses in bilberry (Vaccinium myrtillus L.).

Rafael Fonseca Benevenuto, Tarald Seldal, Stein Joar Hegland, Cesar Rodriguez-Saona, Joseph Kawash, James Polashock

Open access · goldAbstract read
In one paragraph

Article in BMC plant biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
6.8field-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

25 citing papers in PubMed, 60 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

6 authors at 3 institutions in 2 countries.

Rafael Fonseca BenevenutoFaculty of Engineering and Science, Western Norway University of Applied Sciences, Sogndal, Norway.
Tarald SeldalFaculty of Engineering and Science, Western Norway University of Applied Sciences, Sogndal, Norway.
Stein Joar HeglandFaculty of Engineering and Science, Western Norway University of Applied Sciences, Sogndal, Norway.
Cesar Rodriguez-SaonaRutgers, Department of Entomology, Philip E. Marucci Center for Blueberry and Cranberry Research, The State University of New Jersey, Chatsworth, NJ, USA.
Joseph KawashGenetic Improvement of Fruits and Vegetables Lab, Philip E. Marucci Center for Blueberry and Cranberry Research, United States Department of Agriculture-Agricultural Research Service, Chatsworth, NJ, USA.
James PolashockGenetic Improvement of Fruits and Vegetables Lab, Philip E. Marucci Center for Blueberry and Cranberry Research, United States Department of Agriculture-Agricultural Research Service, Chatsworth, NJ, USA. James.Polashock@ars.usda.gov.ORCID http://orcid.org/0000-0002-7977-2921
Western Norway University of Applied Sciences · NOUnited States Department of Agriculture · USRutgers, The State University of New Jersey · US

Funding

Norwegian Research Council 204403/E40
6 · The paper itself

Abstract

backgroundBilberry (Vaccinium myrtillus L.) is one of the most abundant wild berries in the Northern European ecosystems. This species plays an important ecological role as a food source for many vertebrate and invertebrate herbivores. It is also well-recognized for its bioactive compounds, particularly substances involved in natural defenses against herbivory. These defenses are known to be initiated by leaf damage (e.g. chewing by insects) and mediated by activation of the jasmonic acid (JA) signaling pathway. This pathway can be activated by exogenous application of methyl jasmonate (MeJA), the volatile derivative of JA, which is often used to stimulate plant defense responses in studies of plant-herbivore interactions at ecological, biochemical, and molecular organismal levels. As a proxy for herbivore damage, wild V. myrtillus plants were treated in the field with MeJA and changes in gene expression were compared to untreated plants.

resultsThe de novo transcriptome assembly consisted of 231,887 unigenes. Nearly 71% of the unigenes were annotated in at least one of the databases interrogated. Differentially expressed genes (DEGs), between MeJA-treated and untreated control bilberry plants were identified using DESeq. A total of 3590 DEGs were identified between the treated and control plants, with 2013 DEGs upregulated and 1577 downregulated. The majority of the DEGs identified were associated with primary and secondary metabolism pathways in plants. DEGs associated with growth (e.g. those encoding photosynthesis-related components) and reproduction (e.g. flowering control genes) were frequently down-regulated while those associated with defense (e.g. encoding enzymes involved in biosynthesis of flavonoids, lignin compounds, and deterrent/repellent volatile organic compounds) were up-regulated in the MeJA treated plants.

conclusionsEcological studies are often limited by controlled conditions to reduce the impact of environmental effects. The results from this study support the hypothesis that bilberry plants, growing in natural conditions, shift resources from growth and reproduction to defenses while in a MeJA-induced state, as when under insect attack. This study highlights the occurrence of this trade-off at the transcriptional level in a realistic field scenario and supports published field observations wherein plant growth is retarded and defenses are upregulated.

Indexed as

AcetatesCyclopentanesFlowersGene Expression Regulation, PlantOxylipinsTranscriptomeVaccinium myrtillusAcetatesCyclopentanesmethyl jasmonateOxylipinsDifferential expressionFloweringHerbivorySecondary metabolismSignalingTranscriptome

Identifiers

PMID30755189
PMCPMC6373060
OpenAlexW2944968808

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.