Identification of Microorganisms Using Fatty Acid Methyl Ester (fame) Analysis and the Midi Sherlock® Microbial Identification System
نویسندگان
چکیده
For more than 15 years, a substantial portion of the pharmaceutical industry has relied on the MIDI Sherlock® Microbial Identification System for identification in their microbiological testing laboratories. The Sherlock System identifies microorganisms based on gas chromatographic (GC) analysis of extracted microbial fatty acid methyl esters (FAMEs). Microbial fatty acid profiles are unique from one species to another, and this has allowed for the creation of very large microbial libraries. The current Sherlock System libraries have over 1,500 bacterial species, along with 200 species of yeast. A combination of features makes the system attractive for use in pharmaceutical quality
منابع مشابه
Differentiation between Candida dubliniensis and Candida albicans by fatty acid methyl ester analysis using gas-liquid chromatography.
Candida dubliniensis is often found in mixed culture with C. albicans, but its recognition is hampered as the color of its colonies in primary culture on CHROMagar Candida varies. Furthermore, definite identification of C. dubliniensis is difficult to achieve, time-consuming, and expensive. Therefore, a method to discriminate between these two closely related yeast species by fatty acid methyl ...
متن کاملAccuracy, reproducibility, and interpretation of Fatty Acid methyl ester profiles of model bacterial communities.
We determined the accuracy and reproducibility of whole-community fatty acid methyl ester (FAME) analysis with two model bacterial communities differing in composition by using the Microbial ID, Inc. (MIDI), system. The biomass, taxonomic structure, and expected MIDI-FAME profiles under a variety of environmental conditions were known for these model communities a priori. Not all members of eac...
متن کاملSignature Lipid Biomarker (SLB) Analysis in Determining Changes in Community Structure of Soil Microorganisms
Signature lipid biomarker (SLB) analysis is a useful tool for identifying microorganisms and characterizing microbial communities in natural systems. Specific fatty acids, especially phospholipids (PLFA), are essential membrane components, make up a relatively constant proportion of the microorganisms under natural conditions and their patterns provide insight into the bacterial and fungal comm...
متن کاملDifferentiation of species combined into the Burkholderia cepacia complex and related taxa on the basis of their fatty acid patterns.
Using the established commercial system Sherlock (MIDI, Inc.), cellular fatty acid methyl ester analysis for differentiation among Burkholderia cepacia complex species was proven. The identification key based on the diagnostic fatty acids is able to discern phenotypically related Ralstonia pickettii and Pandoraea spp. and further distinguish Burkholderia pyrrocinia, Burkholderia ambifaria, and ...
متن کاملTowards large-scale FAME-based bacterial species identification using machine learning techniques.
In the last decade, bacterial taxonomy witnessed a huge expansion. The swift pace of bacterial species (re-)definitions has a serious impact on the accuracy and completeness of first-line identification methods. Consequently, back-end identification libraries need to be synchronized with the List of Prokaryotic names with Standing in Nomenclature. In this study, we focus on bacterial fatty acid...
متن کامل