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Combining next-generation pyrosequencing with microarray for large scale expression analysis in non-model species

BACKGROUND: The next generation sequencing technologies provide new options to characterize the transcriptome and to develop affordable tools for functional genomics. We describe here an innovative approach for this purpose and demonstrate its potential also for non-model species. RESULTS: The metho...

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Autores principales: Bellin, Diana, Ferrarini, Alberto, Chimento, Antonio, Kaiser, Olaf, Levenkova, Natasha, Bouffard, Pascal, Delledonne, Massimo
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2790472/
https://www.ncbi.nlm.nih.gov/pubmed/19930683
http://dx.doi.org/10.1186/1471-2164-10-555
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author Bellin, Diana
Ferrarini, Alberto
Chimento, Antonio
Kaiser, Olaf
Levenkova, Natasha
Bouffard, Pascal
Delledonne, Massimo
author_facet Bellin, Diana
Ferrarini, Alberto
Chimento, Antonio
Kaiser, Olaf
Levenkova, Natasha
Bouffard, Pascal
Delledonne, Massimo
author_sort Bellin, Diana
collection PubMed
description BACKGROUND: The next generation sequencing technologies provide new options to characterize the transcriptome and to develop affordable tools for functional genomics. We describe here an innovative approach for this purpose and demonstrate its potential also for non-model species. RESULTS: The method we developed is based on 454 sequencing of 3' cDNA fragments from a normalized library constructed from pooled RNAs to generate, through de novo reads assembly, a large catalog of unique transcripts in organisms for which a comprehensive collection of transcripts or the complete genome sequence, is not available. This "virtual transcriptome" provides extensive coverage depth, and can be used for the setting up of a comprehensive microarray based expression analysis. We evaluated the potential of this approach by monitoring gene expression during berry maturation in Vitis vinifera as if no other sequence information was available for this species. The microarray designed on the berries' transcriptome derived from half of a 454 run detected the expression of 19,609 genes, and proved to be more informative than one of the most comprehensive grape microarrays available to date, the GrapeArray 1.2 developed by the Italian-French Public Consortium for Grapevine Genome Characterization, which could detect the expression of 15,556 genes in the same samples. CONCLUSION: This approach provides a powerful method to rapidly build up an extensive catalog of unique transcripts that can be successfully used to develop a microarray for large scale analysis of gene expression in any species, without the need for prior sequence knowledge.
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spelling pubmed-27904722009-12-09 Combining next-generation pyrosequencing with microarray for large scale expression analysis in non-model species Bellin, Diana Ferrarini, Alberto Chimento, Antonio Kaiser, Olaf Levenkova, Natasha Bouffard, Pascal Delledonne, Massimo BMC Genomics Methodology article BACKGROUND: The next generation sequencing technologies provide new options to characterize the transcriptome and to develop affordable tools for functional genomics. We describe here an innovative approach for this purpose and demonstrate its potential also for non-model species. RESULTS: The method we developed is based on 454 sequencing of 3' cDNA fragments from a normalized library constructed from pooled RNAs to generate, through de novo reads assembly, a large catalog of unique transcripts in organisms for which a comprehensive collection of transcripts or the complete genome sequence, is not available. This "virtual transcriptome" provides extensive coverage depth, and can be used for the setting up of a comprehensive microarray based expression analysis. We evaluated the potential of this approach by monitoring gene expression during berry maturation in Vitis vinifera as if no other sequence information was available for this species. The microarray designed on the berries' transcriptome derived from half of a 454 run detected the expression of 19,609 genes, and proved to be more informative than one of the most comprehensive grape microarrays available to date, the GrapeArray 1.2 developed by the Italian-French Public Consortium for Grapevine Genome Characterization, which could detect the expression of 15,556 genes in the same samples. CONCLUSION: This approach provides a powerful method to rapidly build up an extensive catalog of unique transcripts that can be successfully used to develop a microarray for large scale analysis of gene expression in any species, without the need for prior sequence knowledge. BioMed Central 2009-11-24 /pmc/articles/PMC2790472/ /pubmed/19930683 http://dx.doi.org/10.1186/1471-2164-10-555 Text en Copyright ©2009 Bellin 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 Methodology article
Bellin, Diana
Ferrarini, Alberto
Chimento, Antonio
Kaiser, Olaf
Levenkova, Natasha
Bouffard, Pascal
Delledonne, Massimo
Combining next-generation pyrosequencing with microarray for large scale expression analysis in non-model species
title Combining next-generation pyrosequencing with microarray for large scale expression analysis in non-model species
title_full Combining next-generation pyrosequencing with microarray for large scale expression analysis in non-model species
title_fullStr Combining next-generation pyrosequencing with microarray for large scale expression analysis in non-model species
title_full_unstemmed Combining next-generation pyrosequencing with microarray for large scale expression analysis in non-model species
title_short Combining next-generation pyrosequencing with microarray for large scale expression analysis in non-model species
title_sort combining next-generation pyrosequencing with microarray for large scale expression analysis in non-model species
topic Methodology article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2790472/
https://www.ncbi.nlm.nih.gov/pubmed/19930683
http://dx.doi.org/10.1186/1471-2164-10-555
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