Engineering Complex Phenotypes in Industrial Strains

About this book

Engineering Complex Phenotypes in Industrial Strains highlights current trends and developments in the area of engineering strains. The book details the current and future tools used in the production of bulk chemicals and biofuels from renewable biomass using green technologies. Complex phenotypes are traits in a microbe that requires multiple genetic changes to be modulated simultaneously in the microorganism’s DNA. Knowing what those genetic changes are for a given trait and how to make those changes in the most efficient way forms the motivation behind writing this book.

Engineering Complex Phenotypes in Industrial Strains explains the newer tools to develop and enable engineered strains at time scales much faster that the natural evolution process so that we can increase a cells' production of a certain substance, increase process productivity, and extend metabolic capability. This book provides a one stop platform of reference for practicing researchers in the field of industrial biotechnology. This book also explains that the commercial success of a process that uses microbial catalysts over platforms that use chemical catalysts and fossil fuels depends on the time it takes to engineer these microbes to perform the desired reaction under harsh manufacturing conditions and at rates that meets the criteria for economic feasibility.

Contents

Foreword
Preface

CHAPTER 1 Classical Strain Engineering
CHAPTER 2 Tracer-based Analysis of Metabolic Flux Networks
CHAPTER 3 Integration of ‘Omics’ Data with Genome-scale Metabolic Models
CHAPTER 4 Strain Improvement via Evolutionary Engineering
CHAPTER 5 Rapid Fermentation Process Development and Optimization
CHAPTER 6 The Clavulanic Acid Strain Improvement Program at DSM Anti-Infectives
CHAPTER 7 Metabolic Engineering of recombinant E. coli for the Production of 3-Hydroxypropionate
CHAPTER 8 Complex System Engineering: A Case Study for an Unsequenced Microalga
CHAPTER 9 Meiotic Recombination-based genome shuffling of Saccharomyces cerevisiae and Schefferomyces stiptis for increased inhibitor tolerance to lignocellulosic substrate toxicity

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