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dc.contributor.authorMayo Pérez, Baltasar-
dc.contributor.authorRachid, Caio T. C. C.-
dc.contributor.authorAlegría, Ángel-
dc.contributor.authorLeite, Analy M. O.-
dc.contributor.authorPeixoto, R. S.-
dc.contributor.authorDelgado, Susana-
dc.date.accessioned2014-12-17T12:13:51Z-
dc.date.available2014-12-17T12:13:51Z-
dc.date.issued2014-11-01-
dc.identifierdoi: 10.2174/1389202915666140616233211-
dc.identifierissn: 1389-2029-
dc.identifiere-issn: 1875-5488-
dc.identifier.citationCurrent Genomics 15(4): 293-309 (2014)-
dc.identifier.urihttp://hdl.handle.net/10261/108834-
dc.description.abstractUnderstanding the Maxam-Gilbert and Sanger sequencing as the first generation, in recent years there has been an explosion of newly-developed sequencing strategies, which are usually referred to as next generation sequencing (NGS) techniques. NGS techniques have high-throughputs and produce thousands or even millions of sequences at the same time. These sequences allow for the accurate identification of microbial taxa, including uncultivable organisms and those present in small numbers. In specific applications, NGS provides a complete inventory of all microbial operons and genes present or being expressed under different study conditions. NGS techniques are revolutionizing the field of microbial ecology and have recently been used to examine several food ecosystems. After a short introduction to the most common NGS systems and platforms, this review addresses how NGS techniques have been employed in the study of food microbiota and food fermentations, and discusses their limits and perspectives. The most important findings are reviewed, including those made in the study of the microbiota of milk, fermented dairy products, and plant-, meat- and fishderived fermented foods. The knowledge that can be gained on microbial diversity, population structure and population dynamics via the use of these technologies could be vital in improving the monitoring and manipulation of foods and fermented food products. They should also improve their safety. © 2014 Bentham Science Publishers.-
dc.description.sponsorshipFinancial support for working at the authors’ laboratories was provided by projects from the Spanish Ministry of Economy and Competitiveness (Ref. AGL2011-24300 and RM2011-00005-00-00) to B.M., and the Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq), Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (Capes) and Fundação de Amparo à Pesquisa do Estado do Rio de Janeiro (FAPERJ) to C.T.C.C.R., A.M.O.L., and R.S.P.-
dc.publisherBentham Science Publishers-
dc.relation.isversionofPostprint-
dc.rightsopenAccessen_EN
dc.subjectNext generation sequencing-
dc.subjectIllumina-
dc.subjectMolecular microbial ecology-
dc.subjectFood microbiology-
dc.subjectPyrosequencing-
dc.subjectFood ecology-
dc.subjectNGS techniques-
dc.titleImpact of next generation sequencing techniques in food microbiology-
dc.typeartículo-
dc.identifier.doi10.2174/1389202915666140616233211-
dc.relation.publisherversionhttp://dx.doi.org/10.2174/1389202915666140616233211-
dc.embargo.terms2015-11-01-
dc.date.updated2014-12-17T12:13:51Z-
dc.description.versionPeer Reviewed-
dc.language.rfc3066eng-
dc.contributor.funderMinisterio de Economía y Competitividad (España)-
dc.contributor.funderConselho Nacional de Desenvolvimento Científico e Tecnológico (Brasil)-
dc.contributor.funderMinistério da Educação (Brasil)-
dc.contributor.funderFundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro-
dc.identifier.funderhttp://dx.doi.org/10.13039/501100003329es_ES
dc.identifier.funderhttp://dx.doi.org/10.13039/501100003593es_ES
dc.identifier.funderhttp://dx.doi.org/10.13039/501100006366es_ES
dc.identifier.funderhttp://dx.doi.org/10.13039/501100004586es_ES
dc.identifier.pmid25132799-
dc.type.coarhttp://purl.org/coar/resource_type/c_6501es_ES
item.fulltextWith Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
item.grantfulltextopen-
item.openairetypeartículo-
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