Transcriptional profiling of Saccharomyces cerevisiae exposed to propolis

BMC Complementary and Alternative Medicine

Research Article

Diego Bonatto¹  Iran Malavazi²  Marcela Savoldi³  Patrícia Alves de Castro³  Andresa A Berretta⁴  Gustavo Henrique Goldman⁵  Maria Helena S Goldman⁶ 

[1] Centro de Biotecnologia da UFRGS, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil;Departamento de Genética e Evolução, Centro de Ciências Biológicas e da Saúde (CCBS), Universidade Federal de São Carlos, Porto Alegre, Brazil;Faculdade de Ciências Farmacêuticas de Ribeirão, Preto Universidade de São Paulo, São Paulo, Brazil;Faculdade de Ciências Farmacêuticas de Ribeirão, Preto Universidade de São Paulo, São Paulo, Brazil;Apis Flora Industrial e Comercial, Ribeirão Preto, São Paulo, Brazil;Faculdade de Ciências Farmacêuticas de Ribeirão, Preto Universidade de São Paulo, São Paulo, Brazil;Laboratório Nacional de Ciência e Tecnologia do Bioetanol – CTBE, Caixa Postal 6170, 13083-970, Campinas, São Paulo, Brazil;Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo, São Paulo, Brazil;

关键词: Gene Ontology;    Node Degree;    Propolis;    Microarray Hybridization;    Saccharomyces Genome Database;   

DOI  :  10.1186/1472-6882-12-194

 received in 2012-07-31, accepted in 2012-10-17,  发布年份 2012

来源: Springer

【 摘 要 】

BackgroundPropolis is a natural product of plant resins collected by honeybees (Apis mellifera) from various plant sources. Our previous studies indicated that propolis sensitivity is dependent on the mitochondrial function and that vacuolar acidification and autophagy are important for yeast cell death caused by propolis. Here, we extended our understanding of propolis-mediated cell death in the yeast Saccharomyces cerevisiae by applying systems biology tools to analyze the transcriptional profiling of cells exposed to propolis.MethodsWe have used transcriptional profiling of S. cerevisiae exposed to propolis. We validated our findings by using real-time PCR of selected genes. Systems biology tools (physical protein-protein interaction [PPPI] network) were applied to analyse the propolis-induced transcriptional bevavior, aiming to identify which pathways are modulated by propolis in S. cerevisiae and potentially influencing cell death.ResultsWe were able to observe 1,339 genes modulated in at least one time point when compared to the reference time (propolis untreated samples) (t- test, p- value 0.01). Enrichment analysis performed by Gene Ontology (GO) Term finder tool showed enrichment for several biological categories among the genes up-regulated in the microarray hybridization such as transport and transmembrane transport and response to stress. Real-time RT-PCR analysis of selected genes showed by our microarray hybridization approach was capable of providing information about S. cerevisiae gene expression modulation with a considerably high level of confidence. Finally, a physical protein-protein (PPPI) network design and global topological analysis stressed the importance of these pathways in response of S. cerevisiae to propolis and were correlated with the transcriptional data obtained thorough the microarray analysis.ConclusionsIn summary, our data indicate that propolis is largely affecting several pathways in the eukaryotic cell. However, the most prominent pathways are related to oxidative stress, mitochondrial electron transport chain, vacuolar acidification, regulation of macroautophagy associated with protein target to vacuole, cellular response to starvation, and negative regulation of transcription from RNA polymerase II promoter. Our work emphasizes again the importance of S. cerevisiae as a model system to understand at molecular level the mechanism whereby propolis causes cell death in this organism at the concentration herein tested. Our study is the first one that investigates systematically by using functional genomics how propolis influences and modulates the mRNA abundance of an organism and may stimulate further work on the propolis-mediated cell death mechanisms in fungi.

【 授权许可】

Unknown   
© de Castro et al.; licensee BioMed Central Ltd. 2012. This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.