Literature DB >> 22517266

Genome-scale genetic manipulation methods for exploring bacterial molecular biology.

Alla Gagarinova1, Andrew Emili.   

Abstract

Bacteria are diverse and abundant, playing key roles in human health and disease, the environment, and biotechnology. Despite progress in genome sequencing and bioengineering, much remains unknown about the functional organization of prokaryotes. For instance, roughly a third of the protein-coding genes of the best-studied model bacterium, Escherichia coli, currently lack experimental annotations. Systems-level experimental approaches for investigating the functional associations of bacterial genes and genetic structures are essential for defining the fundamental molecular biology of microbes, preventing the spread of antibacterial resistance in the clinic, and driving the development of future biotechnological applications. This review highlights recently introduced large-scale genetic manipulation and screening procedures for the systematic exploration of bacterial gene functions, molecular relationships, and the global organization of bacteria at the gene, pathway, and genome levels.

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Year:  2012        PMID: 22517266     DOI: 10.1039/c2mb25040c

Source DB:  PubMed          Journal:  Mol Biosyst        ISSN: 1742-2051


  10 in total

1.  Metabolism of Fructooligosaccharides in Lactobacillus plantarum ST-III via Differential Gene Transcription and Alteration of Cell Membrane Fluidity.

Authors:  Chen Chen; Guozhong Zhao; Wei Chen; Benheng Guo
Journal:  Appl Environ Microbiol       Date:  2015-08-28       Impact factor: 4.792

2.  Nonhybrid, finished microbial genome assemblies from long-read SMRT sequencing data.

Authors:  Chen-Shan Chin; David H Alexander; Patrick Marks; Aaron A Klammer; James Drake; Cheryl Heiner; Alicia Clum; Alex Copeland; John Huddleston; Evan E Eichler; Stephen W Turner; Jonas Korlach
Journal:  Nat Methods       Date:  2013-05-05       Impact factor: 28.547

3.  Engineering complex biological systems in bacteria through recombinase-assisted genome engineering.

Authors:  Christine Nicole S Santos; Yasuo Yoshikuni
Journal:  Nat Protoc       Date:  2014-05-15       Impact factor: 13.491

4.  Multiplexed Non-barcoded Long-Read Sequencing and Assembling Genomes of Bacillus Strains in Error-Free Simulations.

Authors:  Jiating Qian; Qiao Meng; Yifan Feng; Xuanxuan Mao; Yayue Ling; Jie Li
Journal:  Curr Microbiol       Date:  2019-11-13       Impact factor: 2.188

5.  Mapping bacterial functional networks and pathways in Escherichia Coli using synthetic genetic arrays.

Authors:  Alla Gagarinova; Mohan Babu; Jack Greenblatt; Andrew Emili
Journal:  J Vis Exp       Date:  2012-11-12       Impact factor: 1.355

6.  Fine-Tuning of the Fatty Acid Pathway by Synthetic Antisense RNA for Enhanced (2S)-Naringenin Production from l-Tyrosine in Escherichia coli.

Authors:  Junjun Wu; Oliver Yu; Guocheng Du; Jingwen Zhou; Jian Chen
Journal:  Appl Environ Microbiol       Date:  2014-09-19       Impact factor: 4.792

7.  Quantitative Genetic Screens for Mapping Bacterial Pathways and Functional Networks.

Authors:  Alla Gagarinova; Ali Hosseinnia; Mohan Babu
Journal:  Methods Mol Biol       Date:  2021

Review 8.  Applications of CRISPR/Cas System to Bacterial Metabolic Engineering.

Authors:  Suhyung Cho; Jongoh Shin; Byung-Kwan Cho
Journal:  Int J Mol Sci       Date:  2018-04-05       Impact factor: 5.923

9.  Enhancing flavonoid production by systematically tuning the central metabolic pathways based on a CRISPR interference system in Escherichia coli.

Authors:  Junjun Wu; Guocheng Du; Jian Chen; Jingwen Zhou
Journal:  Sci Rep       Date:  2015-09-01       Impact factor: 4.379

10.  Quantitative genome-wide genetic interaction screens reveal global epistatic relationships of protein complexes in Escherichia coli.

Authors:  Mohan Babu; Roland Arnold; Cedoljub Bundalovic-Torma; Alla Gagarinova; Keith S Wong; Ashwani Kumar; Geordie Stewart; Bahram Samanfar; Hiroyuki Aoki; Omar Wagih; James Vlasblom; Sadhna Phanse; Krunal Lad; Angela Yeou Hsiung Yu; Christopher Graham; Ke Jin; Eric Brown; Ashkan Golshani; Philip Kim; Gabriel Moreno-Hagelsieb; Jack Greenblatt; Walid A Houry; John Parkinson; Andrew Emili
Journal:  PLoS Genet       Date:  2014-02-20       Impact factor: 5.917

  10 in total

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