Literature DB >> 17002820

Studying bacterial metabolic states using Raman spectroscopy.

Maria Fernanda Escoriza1, Jeanne M Vanbriesen, Shona Stewart, John Maier.   

Abstract

Natural metabolic variability expected during characteristic growth phases in batch cultures of Escherichia coli and Staphylococcus epidermidis were studied by Raman spectroscopy. Spectral changes induced by metabolic changes found in the growth phases (i.e., lag, exponential, stationary, and decay) were identified. Maximum intensity of bands assigned to DNA and RNA bases are seen at the beginning of the exponential phase, when cells are metabolically active, and minimum intensities are seen when cells are decaying. High agreement in spectral variation due to growth phases was seen for all the trials that were performed, four growth cycles for E. coli and two for S. epidermidis. Batch cultures were monitored by standard plate counts to identify all growth phases, including decay. Spectral data were analyzed by principal component analysis (PCA) and discriminant analysis to identify similarities and differences and to estimate a classification performance based on growth phases. For the species evaluated, spectra during decay are grouped closer to each other and separated from lag, exponential, and stationary cells. These results suggest that Raman spectroscopy can be used to study metabolic states in bacteria and in particular cell viability.

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Year:  2006        PMID: 17002820     DOI: 10.1366/000370206778397290

Source DB:  PubMed          Journal:  Appl Spectrosc        ISSN: 0003-7028            Impact factor:   2.388


  6 in total

1.  Evaluation of Escherichia coli cell response to antibiotic treatment by use of Raman spectroscopy with laser tweezers.

Authors:  Tobias J Moritz; Christopher R Polage; Douglas S Taylor; Denise M Krol; Stephen M Lane; James W Chan
Journal:  J Clin Microbiol       Date:  2010-09-22       Impact factor: 5.948

2.  Characterizing the intracellular distribution of metabolites in intact Chlamydia-infected cells by Raman and two-photon microscopy.

Authors:  Márta Szaszák; Jiun Chiun Chang; Weinan Leng; Jan Rupp; David M Ojcius; Anne Myers Kelley
Journal:  Microbes Infect       Date:  2013-03-27       Impact factor: 2.700

3.  Development and Automation of a Bacterial Biosensor to the Targeting of the Pollutants Toxic Effects by Portable Raman Spectrometer.

Authors:  Oleksandra Bandeliuk; Ali Assaf; Marine Bittel; Marie-Jose Durand; Gérald Thouand
Journal:  Sensors (Basel)       Date:  2022-06-08       Impact factor: 3.847

4.  Evidence for phenotypic plasticity among multihost Campylobacter jejuni and C. coli lineages, obtained using ribosomal multilocus sequence typing and Raman spectroscopy.

Authors:  Daniel S Read; Dan J Woodcock; Norval J C Strachan; Kenneth J Forbes; Frances M Colles; Martin C J Maiden; Felicity Clifton-Hadley; Anne Ridley; Ana Vidal; John Rodgers; Andrew S Whiteley; Samuel K Sheppard
Journal:  Appl Environ Microbiol       Date:  2012-11-30       Impact factor: 4.792

Review 5.  Vibrational Spectroscopy for Imaging Single Microbial Cells in Complex Biological Samples.

Authors:  Jesse P Harrison; David Berry
Journal:  Front Microbiol       Date:  2017-04-13       Impact factor: 5.640

Review 6.  An ensemble approach to the structure-function problem in microbial communities.

Authors:  Chandana Gopalakrishnappa; Karna Gowda; Kaumudi H Prabhakara; Seppe Kuehn
Journal:  iScience       Date:  2022-01-11
  6 in total

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