LEADER 05451nam 2200709Ia 450 001 9910816538703321 005 20230801224734.0 010 $a9781118433041 010 $a1118433041 010 $a9781118433034 010 $a1118433033 010 $a9781283645270 010 $a1283645270 010 $a9781118433003 010 $a1118433009 035 $a(CKB)2670000000260802 035 $a(EBL)947717 035 $a(OCoLC)794625784 035 $a(MiAaPQ)EBC947717 035 $a(MiAaPQ)EBC4035363 035 $a(Au-PeEL)EBL947717 035 $a(CaPaEBR)ebr10606060 035 $a(CaONFJC)MIL395777 035 $a(Au-PeEL)EBL4035363 035 $a(CaPaEBR)ebr11110384 035 $a(Perlego)1004022 035 $a(EXLCZ)992670000000260802 100 $a20120531d2012 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aEngineering complex phenotypes in industrial strains /$fedited by Ranjan Patnaik 205 $a1st ed. 210 $aHoboken, N.J. $cWiley$d2012 215 $a1 online resource (290 p.) 300 $aDescription based upon print version of record. 311 08$a9780470610756 311 08$a0470610751 320 $aIncludes bibliographical references and index. 327 $aTitle page; Copyright page; Contents; Foreword; Preface; Contributors; 1: Classical Strain Improvement; 1.0 Introduction; 1.1 The Approach Defined; 1.2 Mutagenesis; 1.2.1 Numerical Considerations in Screen Design; 1.2.2 Random Genetic Drift; 1.2.3 Forced Mutagenesis; 1.2.4 Strain Mating; 1.3 Genotypic Landscapes; 1.4 Screening; 1.4.1 Rational Screens; 1.4.2 Random Screens; 1.4.3 Screening Platforms; 1.5 Conclusions; References; 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 327 $a2.3 Network Analysis: Maximum Theoretical Yield2.4 (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 Networks; 2.9 Conclusions; Acknowledgments; References; 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 327 $a3.6 Use of Metabolomics Data in Metabolic Models: TMFA Example3.7 Integration of Multiple Omics Data Sets; 3.8 Future Directions and Applications to Strain Engineering; References; 4: Strain Improvement via Evolutionary Engineering; 4.0 Introduction; 4.1 Methodologies for Evolutionary Engineering; 4.1.1 Adaptive Evolution; 4.1.2 Genome Shuffling; 4.1.3 Global Transcriptional Machinery Engineering; 4.1.4 Transposon Insertion Mutagenesis; 4.1.5 Multiplex Automated Genome Engineering; 4.1.6 Tractable Multiplex Recombineering; 4.1.7 Chemically Induced Chromosomal Evolution 327 $a4.1.8 Multiscale Analysis of Library Enrichment (SCALE)4.1.9 Screening and Selection; 4.2 Examples of Evolutionary Engineering; 4.2.1 Enhancement of Product Yield and Productivity; 4.2.2 Extension of Substrate Range; 4.2.3 Improvement of Cellular Properties; 4.3 Conclusions and Future Prospects; Acknowledgments; References; 5: Rapid Fermentation Process Development and Optimization; 5.0 Introduction; 5.1 Overview of Classical Fermentation Process Development Methodology; 5.1.1 Noninvasive Sensor Technologies; 5.2 Fermentation Process Development and Optimization 327 $a5.2.1 Medium Design and Optimization5.2.2 Optimization of Growth Conditions; 5.3 Rapid Process Development and Optimization Using Conventional Fermentation System; 5.3.1 Dynamic DO Control to Determine Optimal Feed Rate for Carbon Source-Limited Fermentation; 5.3.2 Feed Forward Control for Carbon Source Excess Fermentation; 5.4 Strain Evaluation and Process Optimization under Scale-Down Conditions; 5.4.1 Identify Scale-Down Parameters; 5.4.2 Scale-Down of Mixing Related Parameters; 5.4.3 Oxygen Uptake Rate (OUR) Clipping; 5.4.4 Dissolved CO2 327 $a5.5 Control and Sensor Technologies for Minibioreactor 330 $aThis 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 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. This book explains the newer tools to develop and enable engi 606 $aGenetic engineering 606 $aIndustrial microorganisms 615 0$aGenetic engineering. 615 0$aIndustrial microorganisms. 676 $a579/.163 686 $aTEC009010$2bisacsh 701 $aPatnaik$b Ranjan$f1969-$01597489 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910816538703321 996 $aEngineering complex phenotypes in industrial strains$93919254 997 $aUNINA