Literature DB >> 26814030

Raman spectroscopy detects phenotypic differences among Escherichia coli enriched for 1-butanol tolerance using a metagenomic DNA library.

Benjamin G Freedman1, Theresah N K Zu1, Robert S Wallace1, Ryan S Senger2.   

Abstract

Advances in Raman spectroscopy are enabling more comprehensive measurement of microbial cell chemical composition. Advantages include results returned in near real-time and minimal sample preparation. In this research, Raman spectroscopy is used to analyze E. coli with engineered solvent tolerance, which is a multi-genic trait associated with complex and uncharacterized phenotypes that are of value to industrial microbiology. To generate solvent tolerant phenotypes, E. coli transformed with DNA libraries are serially enriched in the presence of 0.9% (v/v) and 1.1% (v/v) 1-butanol. DNA libraries are created using degenerate oligonucleotide primed PCR (DOP-PCR) from the genomic DNA of E. coli, Clostridium acetobutylicum ATCC 824, and the metagenome of a stream bank soil sample, which contained DNA from 72 different phyla. DOP-PCR enabled high efficiency library cloning (with no DNA shearing or end-polishing) and the inclusion un-culturable organisms. Nine strains with improved tolerance are analyzed by Raman spectroscopy and vastly different solvent-tolerant phenotypes are characterized. Common among these are improved membrane rigidity from increasing the fraction of unsaturated fatty acids at the expense of cyclopropane fatty acids. Raman spectroscopy offers the ability to monitor cell phenotype changes in near real-time and is adaptable to high-throughput screening, making it relevant to metabolic engineering.
Copyright © 2016 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  Chemometric Fingerprinting; DOP-PCR; Genomic DNA Libraries; Raman Spectroscopy; Solvent Tolerance

Mesh:

Substances:

Year:  2016        PMID: 26814030     DOI: 10.1002/biot.201500144

Source DB:  PubMed          Journal:  Biotechnol J        ISSN: 1860-6768            Impact factor:   4.677


  5 in total

1.  Characterization of an evolved carotenoids hyper-producer of Saccharomyces cerevisiae through bioreactor parameter optimization and Raman spectroscopy.

Authors:  Michelle L Olson; James Johnson; William F Carswell; Luis H Reyes; Ryan S Senger; Katy C Kao
Journal:  J Ind Microbiol Biotechnol       Date:  2016-07-16       Impact factor: 3.346

2.  Spectral characteristics of urine from patients with end-stage kidney disease analyzed using Raman Chemometric Urinalysis (Rametrix).

Authors:  Ryan S Senger; Meaghan Sullivan; Austin Gouldin; Stephanie Lundgren; Kristen Merrifield; Caitlin Steen; Emily Baker; Tommy Vu; Ben Agnor; Gabrielle Martinez; Hana Coogan; William Carswell; Varun Kavuru; Lampros Karageorge; Devasmita Dev; Pang Du; Allan Sklar; James Pirkle; Susan Guelich; Giuseppe Orlando; John L Robertson
Journal:  PLoS One       Date:  2020-01-10       Impact factor: 3.240

3.  Rapid label-free detection of cholangiocarcinoma from human serum using Raman spectroscopy.

Authors:  Peeraya Suksuratin; Rutchanee Rodpai; Vor Luvira; Pewpan M Intapan; Wanchai Maleewong; Oranat Chuchuen
Journal:  PLoS One       Date:  2022-10-13       Impact factor: 3.752

4.  Characterizing glucose, illumination, and nitrogen-deprivation phenotypes of Synechocystis PCC6803 with Raman spectroscopy.

Authors:  Imen Tanniche; Eva Collakova; Cynthia Denbow; Ryan S Senger
Journal:  PeerJ       Date:  2020-03-30       Impact factor: 2.984

5.  Characterizing metabolic stress-induced phenotypes of Synechocystis PCC6803 with Raman spectroscopy.

Authors:  Imen Tanniche; Eva Collakova; Cynthia Denbow; Ryan S Senger
Journal:  PeerJ       Date:  2020-03-30       Impact factor: 2.984

  5 in total

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