Emerging RNA-seq applications in food science

Groundbreaking research in food science is shifting from classical methods to novel analytical approaches in which high-throughput techniques have a key role. Among these techniques, RNA-Seq in combination with bioinformatics is applied to investigate topics in food science that were not approachabl...

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Detalles Bibliográficos
Autores: Valdés, Alberto, Simó, Carolina, Ibáñez, Clara, García-Cañas, Virginia
Tipo de recurso: otro
Estado:Versión aceptada para publicación
Fecha de publicación:2014
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/99967
Acceso en línea:http://hdl.handle.net/10261/99967
Access Level:acceso abierto
Palabra clave:Gene expression
Fermentations
Crops
Foodborne pathogens
Next-generation sequencing
RNA-Seq
Transcriptomics
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spelling Emerging RNA-seq applications in food scienceValdés, AlbertoSimó, CarolinaIbáñez, ClaraGarcía-Cañas, VirginiaGene expressionFermentationsCropsFoodborne pathogensNext-generation sequencingRNA-SeqTranscriptomicsGroundbreaking research in food science is shifting from classical methods to novel analytical approaches in which high-throughput techniques have a key role. Among these techniques, RNA-Seq in combination with bioinformatics is applied to investigate topics in food science that were not approachable few years ago. Relevant applications of transcriptomics in modern food science include transcriptome characterization and analysis of gene-expression levels in food crops, foodborne pathogens, and fermenting microorganisms. The aim of the present chapter is to provide an overview of the recent progress in RNA-Seq techniques discussing their advantages and drawbacks. Besides, relevant applications of these technologies will be highlighted in the context of food science to illustrate their impressive potential. Besides, some ideas of the foreseen technological advances and potential applications of these fast-evolving techniques are also provided. © 2014 Elsevier B.V.This work was supported by AGL2011-29857-C03-01 project (Ministerio de Economía y Competitividad, Spain), and CSD2007-00063 FUN-C-FOOD (Programa CONSOLIDER, Ministerio de Educación y Ciencia, Spain). A.V. thanks the Ministerio de Economía y Competitividad for his FPI pre-doctoral fellowship.Peer ReviewedElsevierMinisterio de Economía y Competitividad (España)European CommissionMinisterio de Educación y Ciencia (España)Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]2014201420142014info:eu-repo/semantics/otherhttp://purl.org/coar/resource_type/c_3248Postprintinfo:eu-repo/semantics/acceptedVersioninfo:eu-repo/semantics/bookParthttp://hdl.handle.net/10261/99967reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Ingléshttp://dx.doi.org/10.1016/B978-0-444-62650-9.00005-1Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/999672026-05-22T06:33:51Z
dc.title.none.fl_str_mv Emerging RNA-seq applications in food science
title Emerging RNA-seq applications in food science
spellingShingle Emerging RNA-seq applications in food science
Valdés, Alberto
Gene expression
Fermentations
Crops
Foodborne pathogens
Next-generation sequencing
RNA-Seq
Transcriptomics
title_short Emerging RNA-seq applications in food science
title_full Emerging RNA-seq applications in food science
title_fullStr Emerging RNA-seq applications in food science
title_full_unstemmed Emerging RNA-seq applications in food science
title_sort Emerging RNA-seq applications in food science
dc.creator.none.fl_str_mv Valdés, Alberto
Simó, Carolina
Ibáñez, Clara
García-Cañas, Virginia
author Valdés, Alberto
author_facet Valdés, Alberto
Simó, Carolina
Ibáñez, Clara
García-Cañas, Virginia
author_role author
author2 Simó, Carolina
Ibáñez, Clara
García-Cañas, Virginia
author2_role author
author
author
dc.contributor.none.fl_str_mv Ministerio de Economía y Competitividad (España)
European Commission
Ministerio de Educación y Ciencia (España)
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv Gene expression
Fermentations
Crops
Foodborne pathogens
Next-generation sequencing
RNA-Seq
Transcriptomics
topic Gene expression
Fermentations
Crops
Foodborne pathogens
Next-generation sequencing
RNA-Seq
Transcriptomics
description Groundbreaking research in food science is shifting from classical methods to novel analytical approaches in which high-throughput techniques have a key role. Among these techniques, RNA-Seq in combination with bioinformatics is applied to investigate topics in food science that were not approachable few years ago. Relevant applications of transcriptomics in modern food science include transcriptome characterization and analysis of gene-expression levels in food crops, foodborne pathogens, and fermenting microorganisms. The aim of the present chapter is to provide an overview of the recent progress in RNA-Seq techniques discussing their advantages and drawbacks. Besides, relevant applications of these technologies will be highlighted in the context of food science to illustrate their impressive potential. Besides, some ideas of the foreseen technological advances and potential applications of these fast-evolving techniques are also provided. © 2014 Elsevier B.V.
publishDate 2014
dc.date.none.fl_str_mv 2014
2014
2014
2014
dc.type.none.fl_str_mv info:eu-repo/semantics/other
http://purl.org/coar/resource_type/c_3248
Postprint
info:eu-repo/semantics/acceptedVersion
dc.type.openaire.fl_str_mv info:eu-repo/semantics/bookPart
format other
status_str acceptedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/99967
url http://hdl.handle.net/10261/99967
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv http://dx.doi.org/10.1016/B978-0-444-62650-9.00005-1
Sí
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.812429

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