The rapid identification of Acinetobacter species using Fourier transform infrared spectroscopy

Winder, Catherine; Carr, E.; Goodacre, Royston; Seviour, Robert J.

doi:10.1046/j.1365-2672.2003.02154.x

Cited by 46 publications

(35 citation statements)

References 38 publications

(71 reference statements)

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“…The plate was loaded onto a motorized high‐throughput stage (HTR‐XT; Bruker, Billerica, MA, USA) attached to a Bruker Equinox 55 FTIR and run in transmission mode according to Winder et al . (2004). …”

Section: Methodsmentioning

confidence: 99%

Acclimation of metabolism to light in Arabidopsis thaliana: the glucose 6‐phosphate/phosphate translocator GPT2 directs metabolic acclimation

Dyson

Allwood

Feil

et al. 2015

Plant Cell & Environment

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Mature leaves of plants transferred from low to high light typically increase their photosynthetic capacity. In A rabidopsis thaliana, this dynamic acclimation requires expression of GPT2, a glucose 6‐phosphate/phosphate translocator. Here, we examine the impact of GPT2 on leaf metabolism and photosynthesis. Plants of wild type and of a GPT2 knockout (gpt2.2) grown under low light achieved the same photosynthetic rate despite having different metabolic and transcriptomic strategies. Immediately upon transfer to high light, gpt2.2 plants showed a higher rate of photosynthesis than wild‐type plants (35%); however, over subsequent days, wild‐type plants acclimated photosynthetic capacity, increasing the photosynthesis rate by 100% after 7 d. Wild‐type plants accumulated more starch than gpt2.2 plants throughout acclimation. We suggest that GPT2 activity results in the net import of glucose 6‐phosphate from cytosol to chloroplast, increasing starch synthesis. There was clear acclimation of metabolism, with short‐term changes typically being reversed as plants acclimated. Distinct responses to light were observed in wild‐type and gpt2.2 leaves. Significantly higher levels of sugar phosphates were observed in gpt2.2. We suggest that GPT2 alters the distribution of metabolites between compartments and that this plays an essential role in allowing the cell to interpret environmental signals.

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Section: Methodsmentioning

confidence: 99%

Acclimation of metabolism to light in Arabidopsis thaliana: the glucose 6‐phosphate/phosphate translocator GPT2 directs metabolic acclimation

Dyson

Allwood

Feil

et al. 2015

Plant Cell & Environment

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“…FT-IR analysis was initially performed on the plate without samples to provide a reference reading for each well. The plate was loaded onto the motorized stage of a reflectance TLC accessory (Winder et al, 2004) attached to a Bruker IFS28 FT-IR spectrometer (Bruker Spectrospin). This was equipped with a mercury-cadmium-telluride (MCT) detector, which was cooled with liquid N 2 .…”

Section: Methodsmentioning

confidence: 99%

“…Numerous advantages of using this method of discrimination over traditional microbiological and molecular techniques are documented; these include speed, minimal sample preparation, automation and relatively low expense. The use of multivariate statistical techniques to analyse the infrared spectra has proved successful in the discrimination of the bacteria to subspecies levels (Maquelin et al, 2003;Naumann et al, 1991;Timmins et al, 1998;Winder et al, 2004). To date, the discrimination of members of the Mycobacterium genus by FT-IR has not been reported in the literature.…”

Section: Introductionmentioning

confidence: 99%

Metabolic fingerprints of Mycobacterium bovis cluster with molecular type: implications for genotype–phenotype links

et al. 2006

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Mycobacterium bovis is the causative agent of bovine tuberculosis. Various genetic typing techniques have been used to trace the reservoirs of infection; however, they have limited success in population genetics and outbreak studies. Fourier-transform infrared spectroscopy (FT-IR) is a rapid phenotypic typing technique, which may be used to generate a metabolic fingerprinting and is increasingly used to characterize bacteria. When coupled with multivariate cluster analysis, this powerful combination has sufficient resolving power to discriminate bacteria down to subspecies level; however, to date this method has not been used in the differentiation of mycobacteria. Multiple isolates of the ten major spoligotypes in the UK, recovered from different geographical locations, were analysed using FT-IR. Hierarchical cluster analysis of the spectra showed that the isolates could be differentiated according to their spoligotypes. Six of the spoligotype FT-IR clusters were very homogeneous and all isolates were recovered together. However, the remaining four groups displayed a more heterogeneous phenotype, which may reflect greater variation than previously suspected within these groups. Included in the ten spoligotypes are the two most dominant isolates in the UK, designated types 9 and 17. Whilst type 17 showed a highly conserved phenotype as judged by FT-IR, type 9 showed a very heterogeneous metabolic profile and isolates were recovered throughout the dendrogram. This variation in type 9 is reflected in the high degree of diversity observed by variable number tandem repeats (VNTR) analysis, underlining the exquisite resolving power of FT-IR.

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“…The reference work of Helm and colleagues (14) prompted a large amount of research, reviewed by Mariey and colleagues (26). Since 2001, more groups and genera have been studied: Lactobacillus (3,36,37), Carnobacterium (21), Bacillus (1), Brucella (27), Acinetobacter (52), yeasts (20,41), enterococci (7,10,19), coryneforms (24,34), and actinomycetes (54). In all of them, the technique has shown qualities, such as high discriminatory power and reproducibility, allowing the differentiation of taxonomic entities at the species or subspecies level on the basis of changes in the IR absorption patterns of the microbial cell.…”

mentioning

confidence: 99%

Discrimination of Enterobacterial Repetitive Intergenic Consensus PCR Types of Campylobacter coli and Campylobacter jejuni by Fourier Transform Infrared Spectroscopy

Mouwen

Weijtens

Capita

et al. 2005

Appl Environ Microbiol

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Fourier transform infrared spectroscopy (FT-IR) has been used together with pattern recognition methodology to study isolates belonging to the species Campylobacter coli and Campylobacter jejuni and to compare FT-IR typing schemes with established genomic profiles based on enterobacterial repetitive intergenic consensus PCR (ERIC-PCR). Seventeen isolates were cultivated under standardized conditions for 2, 3, and 4 days to study variability and improve reproducibility. ERIC-PCR profiles and FT-IR spectra were obtained from strains belonging to the species Campylobacter coli and C. jejuni, normalized, and explored by hierarchical clustering and stepwise discriminant analysis. Strains could be differentiated by using mainly the firstderivative FT-IR spectral range, 1,200 to 900 cm ؊1 (described as the carbohydrate region). The reproducibility index varied depending on the ages of the cultures and on the spectral ranges investigated. Classification obtained by FT-IR spectroscopy provided valuable taxonomic information and was mostly in agreement with data from the genotypic method, ERIC-PCR. The classification functions obtained from the discriminant analysis allowed the identification of 98.72% of isolates from the validation set. FT-IR can serve as a valuable tool in the classification, identification, and typing of thermophilic Campylobacter isolates, and a number of types can be differentiated by means of FT-IR spectroscopy.

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The rapid identification of Acinetobacter species using Fourier transform infrared spectroscopy

Cited by 46 publications

References 38 publications

Acclimation of metabolism to light in Arabidopsis thaliana: the glucose 6‐phosphate/phosphate translocator GPT2 directs metabolic acclimation

Acclimation of metabolism to light in Arabidopsis thaliana: the glucose 6‐phosphate/phosphate translocator GPT2 directs metabolic acclimation

Metabolic fingerprints of Mycobacterium bovis cluster with molecular type: implications for genotype–phenotype links

Discrimination of Enterobacterial Repetitive Intergenic Consensus PCR Types of Campylobacter coli and Campylobacter jejuni by Fourier Transform Infrared Spectroscopy

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