Evidence map›Paper›PMID 27313581›Full record

ArticleFrontiers in plant science2016

Suppression Substractive Hybridization and NGS Reveal Differential Transcriptome Expression Profiles in Wayfaring Tree (Viburnum lantana L.) Treated with Ozone.

Elena Gottardini, Antonella Cristofori, Elisa Pellegrini, Nicola La Porta, Cristina Nali, Paolo Baldi, Gaurav Sablok

Abstract read
In one paragraph

Article in Frontiers in plant science, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Identification ofPeerJ · 2020
    Article
  5. Article
  6. What about the detoxification mechanisms underlying ozone sensitivity in Liriodendron tulipifera?Environmental science and pollution research international · 2018
    Article
  7. 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

7 authors.

Elena GottardiniFondazione Edmund Mach, Sustainable Agro-Ecosystems and Bioresources Department, Research and Innovation Centre Trento, Italy.
Antonella CristoforiFondazione Edmund Mach, Sustainable Agro-Ecosystems and Bioresources Department, Research and Innovation Centre Trento, Italy.
Elisa PellegriniDepartment of Agriculture, Food and Environment, University of Pisa Pisa, Italy.
Nicola La PortaFondazione Edmund Mach, Sustainable Agro-Ecosystems and Bioresources Department, Research and Innovation CentreTrento, Italy; MOUNTFOR Project Centre, European Forest InstituteTrento, Italy; Consiglio Nazionale delle Ricerche, Istituto per la Valorizzazione del Legno e delle Specie ArboreeFlorence, Italy.
Cristina NaliDepartment of Agriculture, Food and Environment, University of Pisa Pisa, Italy.
Paolo BaldiFondazione Edmund Mach, Genomics and Biology of Fruit Crops Department, Research and Innovation Centre Trento, Italy.
Gaurav SablokFondazione Edmund Mach, Sustainable Agro-Ecosystems and Bioresources Department, Research and Innovation CentreTrento, Italy; Plant Functional Biology and Climate Change Cluster (C3), University of Technology SydneySydney, NSW, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tropospheric ozone (O3) is a global air pollutant that causes high economic damages by decreasing plant productivity. It enters the leaves through the stomata, generates reactive oxygen species, which subsequent decrease in photosynthesis, plant growth, and biomass accumulation. In order to identify genes that are important for conferring O3 tolerance or sensitivity to plants, a suppression subtractive hybridization analysis was performed on the very sensitive woody shrub, Viburnum lantana, exposed to chronic O3 treatment (60 ppb, 5 h d(-1) for 45 consecutive days). Transcript profiling and relative expression assessment were carried out in asymptomatic leaves, after 15 days of O3 exposure. At the end of the experiment symptoms were observed on all treated leaves and plants, with an injured leaf area per plant accounting for 16.7% of the total surface. Cloned genes were sequenced by 454-pyrosequencing and transcript profiling and relative expression assessment were carried out on sequenced reads. A total of 38,800 and 12,495 high quality reads obtained in control and O3-treated libraries, respectively (average length of 319 ± 156.7 and 255 ± 107.4 bp). The Ensembl transcriptome yielded a total of 1241 unigenes with a total sequence length of 389,126 bp and an average length size of 389 bp (guanine-cytosine content = 49.9%). mRNA abundance was measured by reads per kilobase per million and 41 and 37 ensembl unigenes showed up- and down-regulation respectively. Unigenes functionally associated to photosynthesis and carbon utilization were repressed, demonstrating the deleterious effect of O3 exposure. Unigenes functionally associated to heat-shock proteins and glutathione were concurrently induced, suggesting the role of thylakoid-localized proteins and antioxidant-detoxification pathways as an effective strategy for responding to O3. Gene Ontology analysis documented a differential expression of co-regulated transcripts for several functional categories, including specific transcription factors (MYB and WRKY). This study demonstrates that a complex sequence of events takes place in the cells at intracellular and membrane level following O3 exposure and elucidates the effects of this oxidative stress on the transcriptional machinery of the non-model plant species V. lantana, with the final aim to provide the molecular supportive knowledge for the use of this plant as O3-bioindicator.

Indexed as

detoxificationgene ontologyHSP20-like chaperonelipoxygenase activityPCR-select™photosynthesisSSH

Identifiers

PMID27313581
PMCPMC4887494

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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.