Phylogenetic Classification And Identification Of Bacteria By Mass Spectrometry Pdf

phylogenetic classification and identification of bacteria by mass spectrometry pdf

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In general, the definite determination of bacterial species is a tedious process and requires extensive manual labour. Novel technologies for bacterial detection and analysis can therefore help microbiologists in minimising their efforts in developing a number of microbiological applications. We present a robust, standardized procedure for automated bacterial analysis that is based on the detection of patterns of protein masses by MALDI mass spectrometry.

Angolini a. Eduardo J. Pilau a. Lopes-Oliveira b.

Phylogenetic classification and identification of bacteria by mass spectrometry

Thank you for visiting nature. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser or turn off compatibility mode in Internet Explorer. In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript. The patterns of protein masses observed can be used for accurate classification and identification of bacteria.

Overview DOI: Bacterial taxonomy comprises systematics theory of classification , nomenclature formal process of naming , and identification. There are two basic approaches to classification. Similarities may be derived between microorganisms by numerical. By contrast, phylogenetics, the process of reconstructing possible evolutionary relationships, uses nucleotide sequences from conserved genes that act as molecular chronometers. A combination of both phenetics and phylogenetics is referred to as polyphasic taxonomy, and is the recommended strategy in description of new species and genera. Numerical analysis of small-subunit ribosomal RNA genes rDNA leading to the construction of branching trees representing the distance of divergence from a common ancestor has provided the mainstay of microbial phylogenetics.

Classification and Identification of Bacteria by Mass Spectrometry and Computational Analysis

This Website uses cookies to offer you a better browsing experience and to analyze our traffic. We also share information about your use of our Website with our group companies, distributors and analytics partners. Click "Accept Cookies" to accept the cookies or click "More Information" to find out more about the cookies used on this website. Please confirm that JavaScript is enabled in your browser. Although our previous study demonstrated the bacterial identification method at strain level based on ribosomal protein matching profiling by comparison between the observed masses in the MALDI mass spectra of sample strains and the biomarker masses of the reference strain, there is one disadvantage in making phylogenetic classification.

Identification of these isolates was routinely performed by sequencing the 16S rRNA gene. Although this technique is an industry standard, it is time consuming and has poor resolving power for some closely related taxa. However, manufacturer-provided databases lack the bacterial diversity found in spacecraft-assembly cleanrooms. With the use of this in-house database, bacterial isolates were successfully identified in concurrence with their 16S rRNA sequence-based classifications. The Committee on Space Research maintains the planetary protection policy for the protection of Earth and other planets from biological contamination.

Skip to search form Skip to main content You are currently offline. Some features of the site may not work correctly. DOI: Freiwald and S. Freiwald , S. The patterns of protein masses observed can be used for accurate classification and identification of bacteria. View on Nature.


A bacterial sample is subjected to a protein extraction method and then analyzed by mass spectrometry. Pattern-matching analysis software of.


Bacterial Taxonomics

In this study, we tested two recently published protocols for inactivation and disruption of mycobacteria, and we also examined the influence of different culture conditions four culture media and five cultivation times on mass spectral quality and the discriminatory power of the method. We found a significant influence of sample pretreatment method and culture medium on species identification and differentiation for a total of 10 strains belonging to Mycobacterium phlei and Mycobacterium smegmatis. Optimum culture conditions yielding the highest identification success rate against the BioTyper database Bruker Daltonics and permitting the possibility of automatic acquisition of mass spectra were found to be distinct for the two mycobacterial species examined.

In general, the definite determination of bacterial species is a tedious process and requires extensive manual labour. Novel technologies for bacterial detection and analysis can therefore help microbiologists in minimising their efforts in developing a number of microbiological applications. We present a robust, standardized procedure for automated bacterial analysis that is based on the detection of patterns of protein masses by MALDI mass spectrometry. We particularly applied the approach for classifying and identifying strains in species of the genus Erwinia. Many species of this genus are associated with disastrous plant diseases such as fire blight.

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time-of-flight mass spectrometry. The patterns of protein masses observed can be used for accurate classification and identification of bacteria. Key to the.


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