Literature DB >> 19467921

Genomics enabled approaches in strain engineering.

Joseph R Warner1, Ranjan Patnaik, Ryan T Gill.   

Abstract

Progress in the field of strain engineering is being made by identifying the genetic basis of complex phenotypes, engineering new phenotypes, and combining beneficial phenotypes in industrial hosts. Advances in genomics technologies including high-throughput sequencing and DNA microarrays have improved our ability to make genotype-phenotype correlations. Applications include the analyses of traits that have evolved in nature and traits that have been created in the laboratory. Additionally, newer tools such as Whole Genome Shuffling (WGS), Scalar Analysis of Library Enrichments (SCALEs), global transcription machinery engineering (gTME), and gene-disruption methods such as transposon insertion or site-specific homologous recombination are improving the construction of phenotypic libraries and the selection and analysis of cells with desirable traits. This review focuses on some of these current methods.

Mesh:

Year:  2009        PMID: 19467921     DOI: 10.1016/j.mib.2009.04.005

Source DB:  PubMed          Journal:  Curr Opin Microbiol        ISSN: 1369-5274            Impact factor:   7.934


  13 in total

Review 1.  Genomics in mammalian cell culture bioprocessing.

Authors:  Diane M Wuest; Sarah W Harcum; Kelvin H Lee
Journal:  Biotechnol Adv       Date:  2011-11-04       Impact factor: 14.227

2.  Evolution combined with genomic study elucidates genetic bases of isobutanol tolerance in Escherichia coli.

Authors:  Jeremy J Minty; Ann A Lesnefsky; Fengming Lin; Yu Chen; Ted A Zaroff; Artur B Veloso; Bin Xie; Catie A McConnell; Rebecca J Ward; Donald R Schwartz; Jean-Marie Rouillard; Yuan Gao; Erdogan Gulari; Xiaoxia Nina Lin
Journal:  Microb Cell Fact       Date:  2011-03-25       Impact factor: 5.328

3.  Isolation of improved free fatty acid overproducing strains of Escherichia coli via Nile red based high-throughput screening.

Authors:  Spencer W Hoover; J Tyler Youngquist; Phil A Angart; Sydnor T Withers; Rebecca M Lennen; Brian F Pfleger
Journal:  Environ Prog Sustain Energy       Date:  2011-11-17       Impact factor: 2.431

4.  Recovery of phenotypes obtained by adaptive evolution through inverse metabolic engineering.

Authors:  Kuk-Ki Hong; Jens Nielsen
Journal:  Appl Environ Microbiol       Date:  2012-08-17       Impact factor: 4.792

5.  Whole genome sequencing of Saccharomyces cerevisiae: from genotype to phenotype for improved metabolic engineering applications.

Authors:  José Manuel Otero; Wanwipa Vongsangnak; Mohammad A Asadollahi; Roberto Olivares-Hernandes; Jérôme Maury; Laurent Farinelli; Loïc Barlocher; Magne Osterås; Michel Schalk; Anthony Clark; Jens Nielsen
Journal:  BMC Genomics       Date:  2010-12-22       Impact factor: 3.969

6.  Engineering microbes for tolerance to next-generation biofuels.

Authors:  Mary J Dunlop
Journal:  Biotechnol Biofuels       Date:  2011-09-21       Impact factor: 6.040

7.  Computational identification of adaptive mutants using the VERT system.

Authors:  James Winkler; Katy C Kao
Journal:  J Biol Eng       Date:  2012-04-02       Impact factor: 4.355

8.  Tolerance against butanol stress by disrupting succinylglutamate desuccinylase in Escherichia coli.

Authors:  Yuan Guo; Bo Lu; Hongchi Tang; Dewu Bi; Zhikai Zhang; Lihua Lin; Hao Pang
Journal:  RSC Adv       Date:  2019-04-15       Impact factor: 3.361

9.  Improving a recombinant Zymomonas mobilis strain 8b through continuous adaptation on dilute acid pretreated corn stover hydrolysate.

Authors:  Ali Mohagheghi; Jeffrey G Linger; Shihui Yang; Holly Smith; Nancy Dowe; Min Zhang; Philip T Pienkos
Journal:  Biotechnol Biofuels       Date:  2015-03-31       Impact factor: 6.040

Review 10.  Toward engineering synthetic microbial metabolism.

Authors:  George H McArthur; Stephen S Fong
Journal:  J Biomed Biotechnol       Date:  2009-12-14
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