Rapid characterization of microbial biodegradation pathways by FT-IR spectroscopy

Fourier transform-infrared (FT-IR) spectroscopy has become an important tool for rapid analysis of complex biological samples. The infrared absorbance spectrum could be regarded as a "fingerprint" which is characteristic of biochemical substances. In this study, Pseudomonas putida NCIMB 9869 was grown with either 3,5-xylenol or m-cresol as the sole carbon source, each inducing different metabolic pathways for m-cresol biotransformation. FT-IR spectroscopy was capable of differentiating both induced cultures of P. putida NCIMB 9869 as well as the resulting biotransformation product mixtures. FT-IR spectral analysis indicated that carboxylic acids were key chemicals responsible for distinguishing the products of the two catabolic pathways. Gas chromatography-mass spectrometry (GC-MS) was performed to validate the FT-IR analysis, indicating that two carboxylic acids, 3-hydroxybenzoic acid and 2,5-dihydroxybenzoic acid, were present as m-cresol biotransformation products from 3,5-xylenol-grown cells, but were absent in m-cresol-grown cells. The ability to use FT-IR to rapidly distinguish between biotransformation product mixtures as well as differentially induced bacterial strains suggests this approach might be a valuable tool for screening large biotransformation assays for novel products and metabolic mutants.     

Metabolomic approaches reveal that phosphatidic and phosphatidyl glycerol phospholipids are major discriminatory non-polar metabolites in responses by Brachypodium distachyon to challenge by Magnaporthe grisea

Metabolomic approaches were used to elucidate some key metabolite changes occurring during interactions of Magnaporthe grisea--the cause of rice blast disease--with an alternate host, Brachypodium distachyon. Fourier-transform infrared (FT-IR) spectroscopy provided a high-throughput metabolic fingerprint of M. grisea interacting with the B. distachyon accessions ABR1 (susceptible) and ABR5 (resistant). Principal component-discriminant function analysis (PC-DFA) allowed the differentiation between developing disease symptoms and host resistance. Alignment of projected 'test-set' on to 'training-set' data indicated that our experimental approach produced highly reproducible data. Examination of PC-DFA loading plots indicated that fatty acids were one chemical group that discriminated between responses by ABR1 and ABR5 to M. grisea. To identify these, non-polar extracts of M. grisea-challenged B. distachyon were directly infused into an electrospray ionization mass spectrometer (ESI-MS). PC-DFA indicated that M. grisea-challenged ABR1 and ABR5 were differentially clustered away from healthy material. Subtraction spectra and PC-DFA loadings plots revealed discriminatory analytes (m/z) between each interaction and seven metabolites were subsequently identified as phospholipids (PLs) by ESI-MS-MS. Phosphatidyl glycerol (PG) PLs were suppressed during both resistant and susceptible responses. By contrast, different phosphatidic acid PLs either increased or were reduced during resistance or during disease development. This suggests considerable and differential PL processing of membrane lipids during each interaction which may be associated with the elaboration/suppression of defence mechanisms or developing disease symptoms.     

Metabolomic analyses show that electron donor and acceptor ratios control anaerobic electron transfer pathways in Shewanella oneidensis

This study investigated the physiological impact of changing electron donor–acceptor ratios on electron transfer pathways in the metabolically flexible subsurface bacterium Shewanella oneidensis, using batch and chemostat cultures, with an azo dye (ramazol black B) as the model electron acceptor. Altering the growth rate did result in changes in biomass yield, but not in other key physiological parameters including the total cytochrome content of the cells, the production of extracellular flavin redox shuttles or the potential of the organism to reduce the azo dye. Dramatic increases in the ability to reduce the dye were noted when cells were grown under conditions of electron acceptor (fumarate) limitation, although the yields of extracellular redox mediators (flavins) were similar under conditions of electron donor (lactate) or acceptor limitation. FT-IR spectroscopy confirmed shifts in the metabolic fingerprints of cells grown under these contrasting conditions, while spectrophotometric analyses supported a critical role for c-type cytochromes, expressed at maximal concentrations under conditions of electron acceptor limitation. Finally, key intracellular metabolites were quantified in batch experiments at various electron donor and acceptor ratios and analysed using discriminant analysis and a Bayesian network to construct a central metabolic pathway model for cells grown under conditions of electron donor or acceptor limitation. These results have identified key mechanisms involved in controlling electron transfer in Shewanella species, and have highlighted strategies to maximise reductive activity for a range of bioprocesses.     

TARDIS-based microbial metabolomics: time and relative differences in systems

Metabolomics can play a particularly important role in elucidating novel anabolic and catabolic pathways in bacteria and fungi, and in understanding the dynamics of metabolism. In these approaches, an isotopically labelled substrate, with an artificially high abundance of isotopic label, is fed to the microorganism under study. The products become isotopically labelled, and can be measured using a combination of mass spectrometry and nuclear magnetic resonance spectroscopy. This mass isotopomer analysis is referred to as time and relative differences in systems (TARDIS)-based analysis, as it measures and quantifies the temporal sequential emergence of these labelled products. In this review, we cover this topic from an experimental point of view in relation to the study of metabolism, and summarise how the application of radioactive and stable isotopes is being used in pathway elucidation and metabolic flux determination (fluxomics).     

A genetic algorithm-Bayesian network approach for the analysis of metabolomics and spectroscopic data: application to the rapid identification of Bacillus spores and classification of Bacillus species

Background  

The rapid identification of Bacillus spores and bacterial identification are paramount because of their implications in food poisoning, pathogenesis and their use as potential biowarfare agents. Many automated analytical techniques such as Curie-point pyrolysis mass spectrometry (Py-MS) have been used to identify bacterial spores giving use to large amounts of analytical data. This high number of features makes interpretation of the data extremely difficult We analysed Py-MS data from 36 different strains of aerobic endospore-forming bacteria encompassing seven different species. These bacteria were grown axenically on nutrient agar and vegetative biomass and spores were analyzed by Curie-point Py-MS.     

Detection of small genotypic changes in Escherichia coli by pyrolysis mass spectroscopy

Abstract Pyrolysis mass spectrometry (Py-MS0 has been used to discriminate between four very closely related strains of Escherichia coli ; a parent strain UB5021 and three derivatives each containing one of the antibiotic resistance plasmids, pBR322, pACYC184 or R388.     

Analysis of serial measurements in medical research.

In medical research data are often collected serially on subjects. The statistical analysis of such data is often inadequate in two ways: it may fail to settle clinically relevant questions and it may be statistically invalid. A commonly used method which compares groups at a series of time points, possibly with t tests, is flawed on both counts. There may, however, be a remedy, which takes the form of a two stage method that uses summary measures. In the first stage a suitable summary of the response in an individual, such as a rate of change or an area under a curve, is identified and calculated for each subject. In the second stage these summary measures are analysed by simple statistical techniques as though they were raw data. The method is statistically valid and likely to be more relevant to the study questions. If this method is borne in mind when the experiment is being planned it should promote studies with enough subjects and sufficient observations at critical times to enable useful conclusions to be drawn. Use of summary measures to analyse serial measurements, though not new, is potentially a useful and simple tool in medical research.     

The frequency of mouse spleen dendritic cells which present alloantigens or ovalbumin to primed T lymphocytes is equal

We have used limiting dilution analysis to compare the frequency of dendritic cells (DC) which present endogenous alloantigens with that which present an exogenous protein antigen to T lymphocytes. Spleen DC present alloantigens or ovalbumin to primed T lymphocytes with equal frequency, showing that DC are equipotent for presenting endogenous and exogenous antigens. Also, antigen-presenting cell (APC) frequencies among DC were compared with other APC populations. DC were enriched about 1000-fold for APC compared to unfractionated spleen cells.