MALDI-TOF MS based identification of food-borne yeast isolates.

Abstract:

:In this study, food-borne yeast isolates (n=96), comprising at least 33 species, were identified using MALDI-TOF MS and conventional methods (API ID 32 C and Phoenix Yeast ID). Discrepancies of both methods were resolved by sequencing the ITS1-5.8S-rRNA-ITS2 region. For ten isolates, mainly classified to Rhodotorula and Trichosporon species, no clear final species identification was possible. 62 isolates were correctly identified to species level using either MALDI-TOF MS or conventional tests. 15 isolates were misidentified when applying conventional assays. In contrary, no species misidentifications were observed after MALDI-TOF MS based classification. In return, 16 isolates were not identifiable after matching their protein fingerprints against MALDI Biotyper 4.0.0.1 library. MALDI TOF MS in-house database update clearly improved the identification. In conclusion, the presented data suggest that MALDI-TOF MS is an appropriate platform for reliable classification and identification of food-borne yeast isolates.

journal_name

J Microbiol Methods

authors

Pavlovic M,Mewes A,Maggipinto M,Schmidt W,Messelhäußer U,Balsliemke J,Hörmansdorfer S,Busch U,Huber I

doi

10.1016/j.mimet.2014.08.021

subject

Has Abstract

pub_date

2014-11-01 00:00:00

pages

123-128

eissn

0167-7012

issn

1872-8359

pii

S0167-7012(14)00255-3

journal_volume

106

pub_type

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