Genome adaptation to chemical stress: clues from comparative transcriptomics in Saccharomyces cerevisiae and Candida glabrataReportar como inadecuado




Genome adaptation to chemical stress: clues from comparative transcriptomics in Saccharomyces cerevisiae and Candida glabrata - Descarga este documento en PDF. Documentación en PDF para descargar gratis. Disponible también para leer online.

Genome Biology

, 9:R164

First Online: 24 November 2008Received: 06 October 2008Accepted: 24 November 2008

Abstract

BackgroundRecent technical and methodological advances have placed microbial models at the forefront of evolutionary and environmental genomics. To better understand the logic of genetic network evolution, we combined comparative transcriptomics, a differential clustering algorithm and promoter analyses in a study of the evolution of transcriptional networks responding to an antifungal agent in two yeast species: the free-living model organism Saccharomyces cerevisiae and the human pathogen Candida glabrata.

ResultsWe found that although the gene expression patterns characterizing the response to drugs were remarkably conserved between the two species, part of the underlying regulatory networks differed. In particular, the roles of the oxidative stress response transcription factors ScYap1p in S. cerevisiae and Cgap1p in C. glabrata had diverged. The sets of genes whose benomyl response depends on these factors are significantly different. Also, the DNA motifs targeted by ScYap1p and Cgap1p are differently represented in the promoters of these genes, suggesting that the DNA binding properties of the two proteins are slightly different. Experimental assays of ScYap1p and Cgap1p activities in vivo were in accordance with this last observation.

ConclusionsBased on these results and recently published data, we suggest that the robustness of environmental stress responses among related species contrasts with the rapid evolution of regulatory sequences, and depends on both the coevolution of transcription factor binding properties and the versatility of regulatory associations within transcriptional networks.

AbbreviationsBREbenomyl response element

DCAdifferential clustering algorithm

DMSOdimethylsulfoxide

ORFopen reading frame

PCprincipal component

PCAprincipal component analysis

PSAMposition apecific affinity matrix

SAMsignificance analysis of microarrays

STREstress response element

YREYap1 response element.

Electronic supplementary materialThe online version of this article doi:10.1186-gb-2008-9-11-r164 contains supplementary material, which is available to authorized users.

Download fulltext PDF



Autor: Gaëlle Lelandais - Véronique Tanty - Colette Geneix - Catherine Etchebest - Claude Jacq - Frédéric Devaux

Fuente: https://link.springer.com/



DESCARGAR PDF




Documentos relacionados