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dc.contributor.authorPereira, Filipa Alexandra Barrosopor
dc.contributor.authorAzevedo, Flávio Humberto Torres Dias Feiopor
dc.contributor.authorParachin, Nadia Skorupapor
dc.contributor.authorHahn-Hagerdal, Barbelpor
dc.contributor.authorGorwa-Grauslund, Marie F.por
dc.contributor.authorJohansson, Björnpor
dc.date.accessioned2018-03-07T17:14:58Z-
dc.date.issued2016-05-01-
dc.date.submitted2015-11-
dc.identifier.citationPereira, F., Azevedo, F., Parachin, N. S., Hahn-Hägerdal, B., Gorwa-Grauslund, M. F., & Johansson, B. (2016). Yeast pathway kit: a method for metabolic pathway assembly with automatically simulated executable documentation. ACS synthetic biology, 5(5), 386-394por
dc.identifier.issn2161-5063por
dc.identifier.urihttps://hdl.handle.net/1822/51751-
dc.description.abstractWe have developed the Yeast Pathway Kit (YPK) for rational and random metabolic pathway assembly in Saccharomyces cerevisiae using reusable and redistributable genetic elements. Genetic elements are cloned in a suicide vector in a rapid process that omits PCR product purification. Single-gene expression cassettes are assembled in vivo using genetic elements that are both promoters and terminators (TP). Cassettes sharing genetic elements are assembled by recombination into multigene pathways. A wide selection of prefabricated TP elements makes assembly both rapid and inexpensive. An innovative software tool automatically produces detailed self-contained executable documentation in the form of pydna code in the narrative Jupyter notebook format to facilitate planning and sharing YPK projects. A D-xylose catabolic pathway was created using YPK with four or eight genes that resulted in one of the highest growth rates reported on D-xylose (0.18 h(-1)) for recombinant S. cerevisiae without adaptation. The two-step assembly of single-gene expression cassettes into multigene pathways may improve the yield of correct pathways at the cost of adding overall complexity, which is offset by the supplied software tool.por
dc.description.sponsorship- This work was supported by the Fundacao para a Ciencia e Tecnologia Portugal (FCT) through Project MycoFat PTDC/AAC-AMB/120940/2010. F.A. was supported by FCT fellowship SFRH/BD/80934/2011. CBMA was supported by the strategic programme UID/BIA/04050/2013 (POCI-01-0145-FEDER-007569) funded by national funds through the FCT I.P. and by the ERDF through the COMPETE2020 - Programa Operational Competitividade e Internacionalizacao (POCI). The authors wish to thank to Dr. Paula Goncalves for the pGXF1 vector, Dr. Daniel Schlieper for the pCAP<SUP>s</SUP> vector, Dr. Yukio Nagano for the pSU0 vector, Dr. Peter Kotter, University of Frankfurt, Germany, for the S. cereivise CEN.PK strains, and Dr. Nina Q Meinander for the p4** vectors.por
dc.language.isoengpor
dc.publisherACSpor
dc.rightsclosedAccesspor
dc.subjectMetabolic engineeringpor
dc.subjectSaccharomyces cerevisiaepor
dc.subjectD-xylosepor
dc.subjectSynthetic biologypor
dc.subjectBioinformaticspor
dc.titleYeast Pathway Kit: A Method for Metabolic Pathway Assembly with Automatically Simulated Executable Documentationpor
dc.typearticle-
dc.peerreviewedyespor
dc.relation.publisherversionhttps://pubs.acs.org/doi/abs/10.1021/acssynbio.5b00250por
oaire.citationStartPage386por
oaire.citationEndPage394por
oaire.citationIssue5por
oaire.citationVolume5por
dc.date.updated2018-03-07T16:28:51Z-
dc.identifier.doi10.1021/acssynbio.5b00250por
dc.identifier.pmid26916955-
dc.subject.fosEngenharia e Tecnologia::Biotecnologia Industrialpor
dc.description.publicationversioninfo:eu-repo/semantics/publishedVersionpor
dc.subject.wosScience & Technology-
sdum.export.identifier2945-
sdum.journalACS SYNTHETIC BIOLOGYpor
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