Literature DB >> 17914860

Engineering complex phenotypes in industrial strains.

Ranjan Patnaik1.   

Abstract

The global demand is rising for greener manufacturing processes that are cost-competitive and available in a timely manner. This has led to the development of a series of new tools and integrative platforms enabling rapid engineering of complex phenotypes in industrial microbes. By blending "old classical methods" of strain isolation with "newer approaches" of cell engineering, researchers are demonstrating the ability to stack multiple complex phenotypes in industrial hosts with some level of certainty. Newer tools for dissecting the genotype-phenotype correlation include association analysis (Precision Engineering), multiSCale Analysis of Library Enrichment (SCALE) in competition experiments, whole-genome transcriptional analysis, and proteomics and metabolomics technology. These newer and older tools of metabolic engineering and synthetic biology when combined with recent whole cell engineering approaches like whole genome shuffling, global transciptome machinery engineering, and directed evolutionary engineering, provide a powerful platform for engineering complex phenotypes in industrial strains. This review attempts to highlight and compare these newer tools and approaches with traditional strain isolation procedures as it applies to genome engineering with examples taken from literature.

Mesh:

Year:  2007        PMID: 17914860     DOI: 10.1021/bp0701214

Source DB:  PubMed          Journal:  Biotechnol Prog        ISSN: 1520-6033


  24 in total

1.  Experimental evolution of a facultative thermophile from a mesophilic ancestor.

Authors:  Ian K Blaby; Benjamin J Lyons; Ewa Wroclawska-Hughes; Grier C F Phillips; Tyler P Pyle; Stephen G Chamberlin; Steven A Benner; Thomas J Lyons; Valérie de Crécy-Lagard; Eudes de Crécy
Journal:  Appl Environ Microbiol       Date:  2011-10-21       Impact factor: 4.792

2.  Physiological and transcriptomic analysis of a salt-resistant Saccharomyces cerevisiae mutant obtained by evolutionary engineering.

Authors:  Seyma Hande Tekarslan-Sahin; Ceren Alkim; Tugba Sezgin
Journal:  Bosn J Basic Med Sci       Date:  2018-02-20       Impact factor: 3.363

3.  Protoplast mutation and genome shuffling induce the endophytic fungus Tubercularia sp. TF5 to produce new compounds.

Authors:  Mingzi Wang; Shaosong Liu; Yaoyao Li; Ren Xu; Chunhua Lu; Yuemao Shen
Journal:  Curr Microbiol       Date:  2010-03-16       Impact factor: 2.188

4.  Novel evolutionary engineering approach for accelerated utilization of glucose, xylose, and arabinose mixtures by engineered Saccharomyces cerevisiae strains.

Authors:  H Wouter Wisselink; Maurice J Toirkens; Qixiang Wu; Jack T Pronk; Antonius J A van Maris
Journal:  Appl Environ Microbiol       Date:  2008-12-12       Impact factor: 4.792

5.  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

6.  Enhanced succinic acid production by Actinobacillus succinogenes after genome shuffling.

Authors:  Pu Zheng; Kunkun Zhang; Qiang Yan; Yan Xu; Zhihao Sun
Journal:  J Ind Microbiol Biotechnol       Date:  2013-05-16       Impact factor: 3.346

7.  Strain engineering by genome mass transfer: efficient chromosomal trait transfer method utilizing donor genomic DNA and recipient recombineering hosts.

Authors:  James A Williams; Jeremy Luke; Clague Hodgson
Journal:  Mol Biotechnol       Date:  2009-05-20       Impact factor: 2.695

8.  Unravelling evolutionary strategies of yeast for improving galactose utilization through integrated systems level analysis.

Authors:  Kuk-Ki Hong; Wanwipa Vongsangnak; Goutham N Vemuri; Jens Nielsen
Journal:  Proc Natl Acad Sci U S A       Date:  2011-06-29       Impact factor: 11.205

9.  Enhancing E. coli tolerance towards oxidative stress via engineering its global regulator cAMP receptor protein (CRP).

Authors:  Souvik Basak; Rongrong Jiang
Journal:  PLoS One       Date:  2012-12-14       Impact factor: 3.240

10.  Improving ethanol tolerance of Escherichia coli by rewiring its global regulator cAMP receptor protein (CRP).

Authors:  Huiqing Chong; Lei Huang; Jianwei Yeow; Ivy Wang; Hongfang Zhang; Hao Song; Rongrong Jiang
Journal:  PLoS One       Date:  2013-02-28       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.