Engineering complex phenotypes in industrial strains
By: edited by Ranjan Patnaik
Publisher: Wiley
Published: 2012
Place of publication: Hoboken, N.J
Language: eng
ISBN-13: 9780470610756
Subjects: Genetic engineering; Industrial microorganisms; TECHNOLOGY & ENGINEERING / Chemical & Biochemical
Description: "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 time scales much faster than would occur naturally. It also highlights the advantages and drawbacks of all methods and tools used in multiple disciplines for genome engineering of complex phenotypes. Case-study examples on applying the tools reinforce the fundamental concepts. A must for research and development biochemists and engineers"--
Notes: Includes bibliographical references and index.
Table of contents: title: Machine generated contents note:  Foreword John Pierce PREFACE Ranjan Patnaik CHAPTER 1 Classical Strain Engineering Nathan Crook and Hal Alper CHAPTER 2 Tracer-based Analysis of Metabolic Flux Networks Michael Dauner CHAPTER 3 Integration of 'Omics' Data with Genome-scale Metabolic Models Stephen Van Dien, Priti Pharkya, and Robin Osterhout CHAPTER 4 Strain Improvement via Evolutionary Engineering Byoungjin Kim, Jing Du, and Huimin Zhao CHAPTER 5 Rapid Fermentation Process Development and Optimization Jun Sun and Lawrence Chew CHAPTER 6 The Clavulanic Acid Strain Improvement Program at DSM Anti-Infectives Bert Koekman and Marcus Hans CHAPTER 7 Metabolic Engineering of recombinant E. coli for the Production of 3-Hydroxypropionate Tanya Warnecke Lipscomb, Matthew L. Lipscomb, and Michael D. Lynch CHAPTER 8 Complex System Engineering: A Case Study for an Unsequenced Microalga Michael Guarnieri,Yat-Chen Chou, Bryon S. Donohoe, Eric Knoshaug, Lieve Laurens and Phillip T. Pienkos CHAPTER 9 Meiotic Recombination-based genome shuffling of Saccharomyces cerevisiae and Schefferomyces stiptis for increased inhibitor tolerance to lignocellulosic substrate toxicity Dominic Pinel and Vincent J. J. Martin .