Literature DB >> 11837321

Identification of coryneform bacteria and related taxa by Fourier-transform infrared (FT-IR) spectroscopy.

Helene Oberreuter, Herbert Seiler, Siegfried Scherer.   

Abstract

An extensive Fourier-transform infrared (FT-IR) spectroscopy database for the identification of bacteria from the two suborders Micrococcineae and Corynebacterineae (Actinomycetales, Actinobacteria) as well as other morphologically similar genera was established. The database consists of averaged IR spectra from 730 reference strains, covering 220 different species out of 46 genera. A total of 192 species are represented by type strains. The identity of 352 reference strains was determined by comparative 16S rDNA sequence analysis and, if necessary, strains were reclassified accordingly. FT-IR frequency ranges, weights and reproducibility levels were optimized for this section of high-G+C gram-positive bacteria. In an internal validation, 98.1% of 208 strains were correctly identified at the species level. A simulated external validation which was carried out using 544 strains from 54 species out of 16 genera resulted in a correct identification of 87.3% at the species level and 95.4% at the genus level. The performance of this identification system is well within the range of those having been reported in the literature for the identification of coryneform bacteria by phenotypical methods. Coryneform and related taxa display a certain degree of overlapping distribution of different taxonomical markers, leading to a limited differentiation capacity of non-genotypical identification methods in general. However, easy handling, rapid identification within 25 h starting from a single colony, a satisfactory differentiation capacity and low cost, render FT-IR technology clearly superior over other routine methods for the identification of coryneform bacteria and related taxa.

Entities:  

Mesh:

Substances:

Year:  2002        PMID: 11837321     DOI: 10.1099/00207713-52-1-91

Source DB:  PubMed          Journal:  Int J Syst Evol Microbiol        ISSN: 1466-5026            Impact factor:   2.747


  23 in total

1.  Temporal stability and biodiversity of two complex antilisterial cheese-ripening microbial consortia.

Authors:  Ariel Maoz; Ralf Mayr; Siegfried Scherer
Journal:  Appl Environ Microbiol       Date:  2003-07       Impact factor: 4.792

2.  Inhibition of Listeria monocytogenes by food-borne yeasts.

Authors:  Stefanie Goerges; Ulrike Aigner; Barbara Silakowski; Siegfried Scherer
Journal:  Appl Environ Microbiol       Date:  2006-01       Impact factor: 4.792

3.  Rapid and reliable identification of Staphylococcus aureus capsular serotypes by means of artificial neural network-assisted Fourier transform infrared spectroscopy.

Authors:  Tom Grunert; Mareike Wenning; María Sol Barbagelata; Martina Fricker; Daniel O Sordelli; Fernanda R Buzzola; Monika Ehling-Schulz
Journal:  J Clin Microbiol       Date:  2013-05-08       Impact factor: 5.948

4.  Discrimination of enterobacterial repetitive intergenic consensus PCR types of Campylobacter coli and Campylobacter jejuni by Fourier transform infrared spectroscopy.

Authors:  D J M Mouwen; M J B M Weijtens; R Capita; C Alonso-Calleja; M Prieto
Journal:  Appl Environ Microbiol       Date:  2005-08       Impact factor: 4.792

5.  Differentiation of Listeria monocytogenes serovars by using artificial neural network analysis of Fourier-transformed infrared spectra.

Authors:  Cecilia A Rebuffo-Scheer; Jürgen Schmitt; Siegfried Scherer
Journal:  Appl Environ Microbiol       Date:  2006-12-01       Impact factor: 4.792

6.  Further characteristics of Arcanobacterium pinnipediorum DSM 28752T and Arcanobacterium wilhelmae DSM 102162T, two novel species of genus Arcanobacterium.

Authors:  Osama Sammra; Jörg Rau; Jörn Wickhorst; Mazen Alssahen; Abdulwahed Ahmed Hassan; Christoph Lämmler; Ellen Prenger-Berninghoff; Amir Abdulmawjood
Journal:  Folia Microbiol (Praha)       Date:  2018-05-13       Impact factor: 2.099

7.  Commercial ripening starter microorganisms inoculated into cheese milk do not successfully establish themselves in the resident microbial ripening consortia of a South german red smear cheese.

Authors:  Stefanie Goerges; Jérôme Mounier; Mary C Rea; Roberto Gelsomino; Valeska Heise; Rüdiger Beduhn; Timothy M Cogan; Marc Vancanneyt; Siegfried Scherer
Journal:  Appl Environ Microbiol       Date:  2008-02-15       Impact factor: 4.792

8.  Identification of Yersinia enterocolitica at the species and subspecies levels by Fourier transform infrared spectroscopy.

Authors:  Andrea Elisabeth Kuhm; Daniel Suter; Richard Felleisen; Jörg Rau
Journal:  Appl Environ Microbiol       Date:  2009-07-17       Impact factor: 4.792

9.  Fourier-transform infrared microspectroscopy, a novel and rapid tool for identification of yeasts.

Authors:  Mareike Wenning; Herbert Seiler; Siegfried Scherer
Journal:  Appl Environ Microbiol       Date:  2002-10       Impact factor: 4.792

10.  Reliable and rapid identification of Listeria monocytogenes and Listeria species by artificial neural network-based Fourier transform infrared spectroscopy.

Authors:  Cecilia A Rebuffo; Jürgen Schmitt; Mareike Wenning; Felix von Stetten; Siegfried Scherer
Journal:  Appl Environ Microbiol       Date:  2006-02       Impact factor: 4.792

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.