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Time-Resolved Transcriptomics and Constraint-Based Modeling Identify System-Level Metabolic Features and Overexpression Targets to Increase Spiramycin Production in Streptomyces ambofaciens.
Fondi, Marco; Pinatel, Eva; Talà, Adelfia; Damiano, Fabrizio; Consolandi, Clarissa; Mattorre, Benedetta; Fico, Daniela; Testini, Mariangela; De Benedetto, Giuseppe E; Siculella, Luisa; De Bellis, Gianluca; Alifano, Pietro; Peano, Clelia.
Afiliación
  • Fondi M; Department of Biology, University of FlorenceFlorence, Italy.
  • Pinatel E; Institute of Biomedical Technologies, National Research CouncilSegrate, Italy.
  • Talà A; Department of Biological and Environmental Sciences and Technologies, University of SalentoLecce, Italy.
  • Damiano F; Department of Biological and Environmental Sciences and Technologies, University of SalentoLecce, Italy.
  • Consolandi C; Institute of Biomedical Technologies, National Research CouncilSegrate, Italy.
  • Mattorre B; Department of Biology, University of FlorenceFlorence, Italy.
  • Fico D; Laboratory of Analytical and Isotopic Mass Spectrometry, Department of Cultural Heritage, University of SalentoLecce, Italy.
  • Testini M; Department of Biological and Environmental Sciences and Technologies, University of SalentoLecce, Italy.
  • De Benedetto GE; Laboratory of Analytical and Isotopic Mass Spectrometry, Department of Cultural Heritage, University of SalentoLecce, Italy.
  • Siculella L; Department of Biological and Environmental Sciences and Technologies, University of SalentoLecce, Italy.
  • De Bellis G; Institute of Biomedical Technologies, National Research CouncilSegrate, Italy.
  • Alifano P; Department of Biological and Environmental Sciences and Technologies, University of SalentoLecce, Italy.
  • Peano C; Institute of Biomedical Technologies, National Research CouncilSegrate, Italy.
Front Microbiol ; 8: 835, 2017.
Article en En | MEDLINE | ID: mdl-28553270
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Front Microbiol Año: 2017 Tipo del documento: Article País de afiliación: Italia
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Front Microbiol Año: 2017 Tipo del documento: Article País de afiliación: Italia