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Complete gene expression profiling of Saccharopolyspora erythraea using GeneChip DNA microarrays

BACKGROUND: The Saccharopolyspora erythraea genome sequence, recently published, presents considerable divergence from those of streptomycetes in gene organization and function, confirming the remarkable potential of S. erythraea for producing many other secondary metabolites in addition to erythrom...

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Autores principales: Peano, Clelia, Bicciato, Silvio, Corti, Giorgio, Ferrari, Francesco, Rizzi, Ermanno, Bonnal, Raoul JP, Bordoni, Roberta, Albertini, Alberto, Bernardi, Luigi Rossi, Donadio, Stefano, De Bellis, Gianluca
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2007
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2206050/
https://www.ncbi.nlm.nih.gov/pubmed/18039355
http://dx.doi.org/10.1186/1475-2859-6-37
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author Peano, Clelia
Bicciato, Silvio
Corti, Giorgio
Ferrari, Francesco
Rizzi, Ermanno
Bonnal, Raoul JP
Bordoni, Roberta
Albertini, Alberto
Bernardi, Luigi Rossi
Donadio, Stefano
De Bellis, Gianluca
author_facet Peano, Clelia
Bicciato, Silvio
Corti, Giorgio
Ferrari, Francesco
Rizzi, Ermanno
Bonnal, Raoul JP
Bordoni, Roberta
Albertini, Alberto
Bernardi, Luigi Rossi
Donadio, Stefano
De Bellis, Gianluca
author_sort Peano, Clelia
collection PubMed
description BACKGROUND: The Saccharopolyspora erythraea genome sequence, recently published, presents considerable divergence from those of streptomycetes in gene organization and function, confirming the remarkable potential of S. erythraea for producing many other secondary metabolites in addition to erythromycin. In order to investigate, at whole transcriptome level, how S. erythraea genes are modulated, a DNA microarray was specifically designed and constructed on the S. erythraea strain NRRL 2338 genome sequence, and the expression profiles of 6494 ORFs were monitored during growth in complex liquid medium. RESULTS: The transcriptional analysis identified a set of 404 genes, whose transcriptional signals vary during growth and characterize three distinct phases: a rapid growth until 32 h (Phase A); a growth slowdown until 52 h (Phase B); and another rapid growth phase from 56 h to 72 h (Phase C) before the cells enter the stationary phase. A non-parametric statistical method, that identifies chromosomal regions with transcriptional imbalances, determined regional organization of transcription along the chromosome, highlighting differences between core and non-core regions, and strand specific patterns of expression. Microarray data were used to characterize the temporal behaviour of major functional classes and of all the gene clusters for secondary metabolism. The results confirmed that the ery cluster is up-regulated during Phase A and identified six additional clusters (for terpenes and non-ribosomal peptides) that are clearly regulated in later phases. CONCLUSION: The use of a S. erythraea DNA microarray improved specificity and sensitivity of gene expression analysis, allowing a global and at the same time detailed picture of how S. erythraea genes are modulated. This work underlines the importance of using DNA microarrays, coupled with an exhaustive statistical and bioinformatic analysis of the results, to understand the transcriptional organization of the chromosomes of micro-organisms producing natural products.
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spelling pubmed-22060502008-01-18 Complete gene expression profiling of Saccharopolyspora erythraea using GeneChip DNA microarrays Peano, Clelia Bicciato, Silvio Corti, Giorgio Ferrari, Francesco Rizzi, Ermanno Bonnal, Raoul JP Bordoni, Roberta Albertini, Alberto Bernardi, Luigi Rossi Donadio, Stefano De Bellis, Gianluca Microb Cell Fact Research BACKGROUND: The Saccharopolyspora erythraea genome sequence, recently published, presents considerable divergence from those of streptomycetes in gene organization and function, confirming the remarkable potential of S. erythraea for producing many other secondary metabolites in addition to erythromycin. In order to investigate, at whole transcriptome level, how S. erythraea genes are modulated, a DNA microarray was specifically designed and constructed on the S. erythraea strain NRRL 2338 genome sequence, and the expression profiles of 6494 ORFs were monitored during growth in complex liquid medium. RESULTS: The transcriptional analysis identified a set of 404 genes, whose transcriptional signals vary during growth and characterize three distinct phases: a rapid growth until 32 h (Phase A); a growth slowdown until 52 h (Phase B); and another rapid growth phase from 56 h to 72 h (Phase C) before the cells enter the stationary phase. A non-parametric statistical method, that identifies chromosomal regions with transcriptional imbalances, determined regional organization of transcription along the chromosome, highlighting differences between core and non-core regions, and strand specific patterns of expression. Microarray data were used to characterize the temporal behaviour of major functional classes and of all the gene clusters for secondary metabolism. The results confirmed that the ery cluster is up-regulated during Phase A and identified six additional clusters (for terpenes and non-ribosomal peptides) that are clearly regulated in later phases. CONCLUSION: The use of a S. erythraea DNA microarray improved specificity and sensitivity of gene expression analysis, allowing a global and at the same time detailed picture of how S. erythraea genes are modulated. This work underlines the importance of using DNA microarrays, coupled with an exhaustive statistical and bioinformatic analysis of the results, to understand the transcriptional organization of the chromosomes of micro-organisms producing natural products. BioMed Central 2007-11-26 /pmc/articles/PMC2206050/ /pubmed/18039355 http://dx.doi.org/10.1186/1475-2859-6-37 Text en Copyright © 2007 Peano et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 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.
spellingShingle Research
Peano, Clelia
Bicciato, Silvio
Corti, Giorgio
Ferrari, Francesco
Rizzi, Ermanno
Bonnal, Raoul JP
Bordoni, Roberta
Albertini, Alberto
Bernardi, Luigi Rossi
Donadio, Stefano
De Bellis, Gianluca
Complete gene expression profiling of Saccharopolyspora erythraea using GeneChip DNA microarrays
title Complete gene expression profiling of Saccharopolyspora erythraea using GeneChip DNA microarrays
title_full Complete gene expression profiling of Saccharopolyspora erythraea using GeneChip DNA microarrays
title_fullStr Complete gene expression profiling of Saccharopolyspora erythraea using GeneChip DNA microarrays
title_full_unstemmed Complete gene expression profiling of Saccharopolyspora erythraea using GeneChip DNA microarrays
title_short Complete gene expression profiling of Saccharopolyspora erythraea using GeneChip DNA microarrays
title_sort complete gene expression profiling of saccharopolyspora erythraea using genechip dna microarrays
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2206050/
https://www.ncbi.nlm.nih.gov/pubmed/18039355
http://dx.doi.org/10.1186/1475-2859-6-37
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