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Engineering Complex Phenotypes in Industrial Strains [Hardcover]

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  • Category: Books (Technology & Engineering)
  • Author:  Patnaik, Ranjan
  • Author:  Patnaik, Ranjan
  • ISBN-10:  0470610751
  • ISBN-10:  0470610751
  • ISBN-13:  9780470610756
  • ISBN-13:  9780470610756
  • Publisher:  Wiley-AIChE
  • Publisher:  Wiley-AIChE
  • Pages:  288
  • Pages:  288
  • Binding:  Hardcover
  • Binding:  Hardcover
  • Pub Date:  01-May-2012
  • Pub Date:  01-May-2012
  • SKU:  0470610751-11-SPLV
  • SKU:  0470610751-11-SPLV
  • Item ID: 105152553
  • List Price: $124.95
  • Seller: ShopSpell
  • Ships in: 2 business days
  • Transit time: Up to 5 business days
  • Delivery by: Sep 28 to Sep 30
  • Notes: Brand New Book. Order Now.
This book 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 microorganisms 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. This book 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.

Foreword vii
John Pierce

Preface ix

Contributors xi

1 Classical Strain Improvement 1
Nathan Crook and Hal S. Alper

2 Tracer-Based Analysis of Metabolic Flux Networks 35
Michael Dauner

3 Integration of Omics Data with Genome-Scale Metabolic Models 77
Stephen Van Dien, Priti Pharkya, and Robin Osterhout

4 Strain Improvement via Evolutionary Engineering 111
Byoungjin Kim, Jing Du, and Huimin Zhao

5 Rapid Fermentation Process Devl/

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