Evidence map›Paper›PMID 29611082›Full record

ArticleEcotoxicology (London, England)2018

Comparative analysis of transcriptomic responses to sub-lethal levels of six environmentally relevant pesticides in Saccharomyces cerevisiae.

Fátima N Gil, Alina C Gonçalves, Jörg D Becker, Cristina A Viegas

Abstract read
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In one paragraph

Article in Ecotoxicology (London, England), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 36% 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

2 citing papers in PubMed, 16 citations in OpenAlex.

  1. Review
  2. Review
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

4 authors at 3 institutions in 1 country.

Fátima N GiliBB-Institute for Bioengineering and Biosciences, Instituto Superior Técnico (IST), Universidade de Lisboa (UL), Av Rovisco Pais, 1049-001, Lisboa, Portugal.ORCID http://orcid.org/0000-0001-6439-8941
Alina C GonçalvesiBB-Institute for Bioengineering and Biosciences, Instituto Superior Técnico (IST), Universidade de Lisboa (UL), Av Rovisco Pais, 1049-001, Lisboa, Portugal.
Jörg D BeckerInstituto Gulbenkian de Ciência, Rua da Quinta Grande N°6, 2780-156, Oeiras, Portugal.ORCID http://orcid.org/0000-0002-6845-6122
Cristina A ViegasiBB-Institute for Bioengineering and Biosciences, Instituto Superior Técnico (IST), Universidade de Lisboa (UL), Av Rovisco Pais, 1049-001, Lisboa, Portugal. cristina.viegas@tecnico.ulisboa.pt.ORCID http://orcid.org/0000-0003-1394-0731
University of Lisbon · PTInstituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento · PTInstituto Gulbenkian de Ciência · PT

Funding

Fundação para a Ciência e a Tecnologia PTDC/AMB/64230/2006Fundação para a Ciência e a Tecnologia SFRH/BD/60933/2009Fundação para a Ciência e a Tecnologia UID/BIO/04565/2013Programa Operacional Regional de Lisboa 2020 LISBOA-01-0145-FEDER-007317
6 · The paper itself

Abstract

Accidental spills and misuse of pesticides may lead to current and/or legacy environmental contamination and may pose concerns regarding possible risks towards non-target microbes and higher eukaryotes in ecosystems. The present study was aimed at comparing transcriptomic responses to effects of sub-lethal levels of six environmentally relevant pesticide active substances in the Saccharomyces cerevisiae eukaryotic model. The insecticide carbofuran, the fungicide pyrimethanil and the herbicides alachlor, S-metolachlor, diuron and methyl(4-chloro-2-methylphenoxy)acetate were studied. Some are currently used agricultural pesticides, while others are under restricted utilization or banned in Europe and/or North America albeit being used in other geographical locations. In the present work transcriptional profiles representing genome-wide responses in a standardized yeast population upon 2 h of exposure to concentrations of each compound exerting equivalent toxic effects, i.e., inhibition of growth by 20% relative to the untreated control cells, were examined. Hierarchical clustering and Venn analyses of the datasets of differentially expressed genes pointed out transcriptional patterns distinguishable between the six active substances. Functional enrichment analyses allowed predicting mechanisms of pesticide toxicity and response to pesticide stress in the yeast model. In general, variations in transcript numbers of selected genes assessed by Real-Time quantitative reverse transcription polymerase chain reaction confirmed microarray data and correlated well with growth inhibitory effects. A possible biological relevance of mechanistic predictions arising from these comparative transcriptomic analyses is discussed in the context of better understanding potential modes of action and adverse side-effects of pesticides.

Indexed as

Environmental PollutantsFungicides, IndustrialGenes, FungalHerbicidesInsecticidesSaccharomyces cerevisiaeTranscriptomeEnvironmental PollutantsFungicides, IndustrialHerbicidesInsecticidesMolecular responsePesticideSaccharomyces cerevisiaeSub-lethalToxicity mechanismsToxicogenomics

Identifiers

PMID29611082
OpenAlexW2795762074

What OpenQuestion holds

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Read underepoch 390

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.