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Transcriptional profiling in Saccharomyces cerevisiae relevant for predicting alachlor mechanisms of toxicity

dc.contributor.authorGil, Fátima N.
dc.contributor.authorGonçalves, Alina C.
dc.contributor.authorJacinto, Maria João
dc.contributor.authorBecker, Jörg D.
dc.contributor.authorViegas, Cristina A.
dc.date.accessioned2016-11-22T15:30:26Z
dc.date.available2016-11-22T15:30:26Z
dc.date.issued2011-10-14
dc.description.abstractAlachlor has been a commonly applied herbicide and is a substance of ecotoxicological concern. The present study aims to identify molecular biomarkers in the eukaryotic model Saccharomyces cerevisiae that can be used to predict potential cytotoxic effects of alachlor, while providing new mechanistic clues with possible relevance for experimentally less accessible eukaryotes. It focuses on genome-wide expression profiling in a yeast population in response to two exposure scenarios exerting effects from slight to moderate magnitude at phenotypic level. In particular, 100 and 264 genes, respectively, were found as differentially expressed on a 2-h exposure of yeast cells to the lowest observed effect concentration (110 mg/L) and the 20% inhibitory concentration (200 mg/L) of alachlor, in comparison with cells not exposed to the herbicide. The datasets of alachlor-responsive genes showed functional enrichment in diverse metabolic, transmembrane transport, cell defense, and detoxification categories. In general, the modifications in transcript levels of selected candidate biomarkers, assessed by quantitative reverse transcriptase polymerase chain reaction, confirmed the microarray data and varied consistently with the growth inhibitory effects of alachlor. Approximately 16% of the proteins encoded by alachlor-differentially expressed genes were found to share significant homology with proteins from ecologically relevant eukaryotic species. The biological relevance of these results is discussed in relation to new insights into the potential adverse effects of alachlor in health of organisms from ecosystems, particularly in worst-case situations such as accidental spills or careless storage, usage, and disposal.pt_PT
dc.description.sponsorshipFundo Europeu de Desenvolvimento Regional; Fundação para a Ciência e Tecnologia BII fellowship.pt_PT
dc.identifier.citationGil, F. N., Gonçalves, A. C., Jacinto, M. J., Becker, J. D. and Viegas, C. A. (2011), Transcriptional profiling in Saccharomyces cerevisiae relevant for predicting alachlor mechanisms of toxicity. Environmental Toxicology and Chemistry, 30: 2506–2518. doi:10.1002/etc.640pt_PT
dc.identifier.doi10.1002/etc.640pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.7/719
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherWileypt_PT
dc.relationIDENTIFICATION OF MOLECULAR BIOMARKERS RELEVANT FOR ENVIRONMENTAL BIOMONITORING OF PESTICIDE TOXICITY USING SIMPLE EUKARYOTIC MODELS
dc.relation.publisherversionhttp://onlinelibrary.wiley.com/doi/10.1002/etc.640/abstractpt_PT
dc.subjectAcetamidespt_PT
dc.subjectGene Expression Profilingpt_PT
dc.subjectHerbicidespt_PT
dc.subjectOligonucleotide Array Sequence Analysispt_PT
dc.subjectReverse Transcriptase Polymerase Chain Reactionpt_PT
dc.subjectSaccharomyces cerevisiaept_PT
dc.subjectSaccharomyces cerevisiae Proteinspt_PT
dc.subjectTranscriptomept_PT
dc.titleTranscriptional profiling in Saccharomyces cerevisiae relevant for predicting alachlor mechanisms of toxicitypt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleIDENTIFICATION OF MOLECULAR BIOMARKERS RELEVANT FOR ENVIRONMENTAL BIOMONITORING OF PESTICIDE TOXICITY USING SIMPLE EUKARYOTIC MODELS
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/3599-PPCDT/PTDC%2FAMB%2F64230%2F2006/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT//SFRH%2FBD%2F60933%2F2009/PT
oaire.citation.endPage2518pt_PT
oaire.citation.issue11pt_PT
oaire.citation.startPage2506pt_PT
oaire.citation.titleEnvironmental Toxicology and Chemistrypt_PT
oaire.citation.volume30pt_PT
oaire.fundingStream3599-PPCDT
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsrestrictedAccesspt_PT
rcaap.typearticlept_PT
relation.isProjectOfPublicationfc86bd6d-a572-4c39-a570-bc49882b05b2
relation.isProjectOfPublication90b611cd-2b1d-43da-84a9-8d399244318a
relation.isProjectOfPublication.latestForDiscovery90b611cd-2b1d-43da-84a9-8d399244318a

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