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Engineering complex phenotypes in industrial strains /
"This book details the current and future tools used in the production of bulk chemicals and biofuels developed from renewable biomass using green technologies. It describes in depth the technology used to unravel the complexity of microbial metabolism in order to produce engineering strains at...
| Clasificación: | Libro Electrónico |
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| Otros Autores: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Hoboken, N.J. :
Wiley,
2012.
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| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- TITLE PAGE; COPYRIGHT PAGE; FOREWORD; PREFACE; CONTRIBUTORS; 1 CLASSICAL STRAIN IMPROVEMENT; 1.0 INTRODUCTION; 1.1 THE APPROACH DEFINED; 1.2 MUTAGENESIS; 1.3 GENOTYPIC LANDSCAPES; 1.4 SCREENING; 1.5 CONCLUSIONS; 2 TRACER-BASED ANALYSIS OF METABOLIC FLUX NETWORKS; 2.0 INTRODUCTION; 2.1 SETTING UP A STOICHIOMETRIC NETWORK MODEL; 2.2 SMALL-SCALE MODELS VERSUS GENOME SCALE MODELS; 2.3 NETWORK ANALYSIS: MAXIMUM THEORETICAL YIELD; 2.4 (STOICHIOMETRIC) METABOLIC FLUX ANALYSIS; 2.5 CARRYING OUT A LABELING EXPERIMENT; 2.6 MEASURING ISOTOPE LABELING PATTERNS; 2.7 TRACER-BASED MFA.
- 2.8 VALIDATING METABOLIC FLUX NETWORKS2.9 CONCLUSIONS; ACKNOWLEDGMENTS; 3 INTEGRATION OF "OMICS" DATA WITH GENOME-SCALE METABOLIC MODELS; 3.0 INTRODUCTION; 3.1 GENOME-SCALE METABOLIC NETWORKS; 3.2 CONSTRAINT-BASED MODELING THEORY; 3.3 CURRENT ANALYSIS OF OMICS DATA; 3.4 NEW APPROACHES TO DEVELOPING MODEL CONSTRAINTS; 3.5 USE OF GENE EXPRESSION DATA IN METABOLIC MODELS; 3.6 USE OF METABOLOMICS DATA IN METABOLIC MODELS: TMFA EXAMPLE; 3.7 INTEGRATION OF MULTIPLE OMICS DATA SETS; 3.8 FUTURE DIRECTIONS AND APPLICATIONS TO STRAIN ENGINEERING; 4 STRAIN IMPROVEMENT VIA EVOLUTIONARY ENGINEERING.
- 4.0 INTRODUCTION4.1 METHODOLOGIES FOR EVOLUTIONARY ENGINEERING; 4.2 EXAMPLES OF EVOLUTIONARY ENGINEERING; 4.3 CONCLUSIONS AND FUTURE PROSPECTS; ACKNOWLEDGMENTS; 5 RAPID FERMENTATION PROCESS DEVELOPMENT AND OPTIMIZATION; 5.0 INTRODUCTION; 5.1 OVERVIEW OF CLASSICAL FERMENTATION PROCESS DEVELOPMENT METHODOLOGY; 5.2 FERMENTATION PROCESS DEVELOPMENT AND OPTIMIZATION; 5.3 RAPID PROCESS DEVELOPMENT AND OPTIMIZATION USING CONVENTIONAL FERMENTATION SYSTEM; 5.4 STRAIN EVALUATION AND PROCESS OPTIMIZATION UNDER SCALE-DOWN CONDITIONS; 5.5 CONTROL AND SENSOR TECHNOLOGIES FOR MINIBIOREACTOR.
- 5.6 COMMERCIAL HIGH-THROUGHPUT FERMENTATION SYSTEMS5.7 TRENDS IN DEVELOPMENT OF HIGH THE GREATA-THROUGHPUT MINIBIOREACTOR SYSTEM; 5.8 CASE STUDIES OF FERMENTATION PROCESS DEVELOPMENT AND OPTIMIZATION USING HIGH-THROUGHPUT MINIBIOREACTORS; 5.9 CONCLUSIONS AND THE PATH FORWARD; 6 THE CLAVULANIC ACID STRAIN IMPROVEMENT PROGRAM AT DSM ANTI-INFECTIVES; 6.0 INTRODUCTION; 6.1 THE BIOSYNTHETIC PATHWAY TO CLAVULANIC ACID; 6.2 THE STRATEGY FOR IMPROVEMENT OF MULTIPLE COMPLEX PHENOTYPES; 6.3 RESULTS AND DISCUSSION; 6.4 FUTURE PERSPECTIVES; ACKNOWLEDGMENTS.
- 7 METABOLIC ENGINEERING OF RECOMBINANT E. COLI FOR THE PRODUCTION OF 3-HYDROXYPROPIONATE7.0 INTRODUCTION TO BIOSYNTHESIS OF 3-HYDROXYPROPIONIC ACID; 7.1 ORGANIC ACID TOXICITY; 7.2 UNDERSTANDING 3-HP TOXICITY; 7.3 STRAIN DESIGN; 7.4 COMBINING 3-HP TOLERANCE AND 3-HP PRODUCTION; 7.5 SUMMARY; 8 COMPLEX SYSTEM ENGINEERING: A CASE STUDY FOR AN UNSEQUENCED MICROALGA; 8.0 HISTORICAL PERSPECTIVE; 8.1 ANALYSIS OF ALGAL BIOMASS COMPOSITION; 8.2 DEVELOPMENT OF HYPOTHESIS-DRIVEN STRAIN IMPROVEMENT STRATEGIES; 8.3 IMPLEMENTATION OF BIOLOGICAL TOOLS I- DEVELOPMENT OF A TRANSFORMATION SYSTEM.