scholarly journals Comparison of matrix-assisted laser desorption ionization time of flight mass spectrometry (MALDI-TOF MS) systems for the identification of moulds in the routine microbiology laboratory

2019 ◽  
Vol 25 (7) ◽  
pp. 892-897 ◽  
Author(s):  
D. Dupont ◽  
A.-C. Normand ◽  
F. Persat ◽  
M. Hendrickx ◽  
R. Piarroux ◽  
...  
2005 ◽  
Vol 51 (7) ◽  
pp. 1123-1131 ◽  
Author(s):  
Yoon Jun Kim ◽  
Soo-Ok Kim ◽  
Hyun Jae Chung ◽  
Mi Sun Jee ◽  
Byeong Gwan Kim ◽  
...  

Abstract Background: Identifying hepatitis C virus (HCV) genotypes has become increasingly important for determining clinical course and the outcome of antiviral therapy. Here we describe the development of restriction fragment mass polymorphism (RFMP) analysis, a novel matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) assay suitable for high-throughput, sensitive, specific genotyping of multiple HCV species. Methods: The assay is based on PCR amplification and mass measurement of oligonucleotides containing genotype-specific motifs in the 5′ untranslated region, into which a type IIS restriction endonuclease recognition was introduced by PCR amplification. Enzymatic cleavage of the products led to excision of multiple oligonucleotide fragments representing variable regions whose masses were determined by MALDI-TOF MS. Results: The RFMP assay identified viral genotypes present at concentrations as low as 0.5% and reliably determined their relative abundance. When sera from 318 patients were analyzed, the RFMP assay exhibited 100% concordance with results obtained by clonal sequencing and identified mixed-genotype infections in 22% of the samples, in addition to several subtype variants. Conclusions: The RFMP assay has practical advantages over existing methods, including better quantitative detection of mixed populations and detection of genotype variants without need for population-based cloning, enabling reliable viral genotyping in laboratories and efficient study of the relationship between viral genotypes and clinical outcome.


2019 ◽  
Vol 57 (9) ◽  
Author(s):  
Joachim Spergser ◽  
Claudia Hess ◽  
Igor Loncaric ◽  
Ana S. Ramírez

ABSTRACTIn veterinary diagnostic laboratories, identification of mycoplasmas is achieved by demanding, cost-intensive, and time-consuming methods that rely on antigenic or genetic identification. Since matrix-assisted laser desorption ionization–time of flight mass spectrometry (MALDI-TOF MS) seems to represent a promising alternative to the currently practiced cumbersome diagnostics, we assessed its applicability for the identification of almost all mycoplasma species isolated from vertebrate animals so far. For generating main spectrum profiles (MSPs), the type strains of 98Mycoplasma, 11Acholeplasma, and 5Ureaplasmaspecies and, in the case of 69 species, 1 to 7 clinical isolates were used. To complete the database, 3 to 7 representatives of 23 undescribedMycoplasmaspecies isolated from livestock, companion animals, and wildlife were also analyzed. A large in-house library containing 530 MSPs was generated, and the diversity of spectra within a species was assessed by constructing dendrograms based on a similarity matrix. All strains of a given species formed cohesive clusters clearly distinct from all other species. In addition, phylogenetically closely related species also clustered closely but were separated accurately, indicating that the established database was highly robust, reproducible, and reliable. Further validation of the in-house mycoplasma library using 335 independent clinical isolates of 32 mycoplasma species confirmed the robustness of the established database by achieving reliable species identification with log scores of ≥1.80. In summary, MALDI-TOF MS proved to be an excellent method for the identification and differentiation of animal mycoplasmas, combining convenience, ease, speed, precision, and low running costs. Furthermore, this method is a powerful and supportive tool for the taxonomic resolution of animal mycoplasmas.


2010 ◽  
Vol 76 (12) ◽  
pp. 4055-4062 ◽  
Author(s):  
Kana Tanigawa ◽  
Hiroaki Kawabata ◽  
Koichi Watanabe

ABSTRACT Currently, the genus Lactococcus is classified into six species: Lactococcus chungangensis, L. garvieae, L. lactis, L. piscium, L. plantarum, and L. raffinolactis. Among these six species, L. lactis is especially important because of its use in the manufacture of probiotic dairy products. L. lactis consists of three subspecies: L. lactis subsp. cremoris, L. lactis subsp. hordniae, and L. lactis subsp. lactis. However, these subspecies have not yet been reliably discriminated. To date, mainly phenotypic identification has been used, with a few genotypic identifications. We discriminated species or subspecies in the genus Lactococcus not only by proteomics identification using matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS) but also by phenotypic and genotypic identification. The proteomics identification using differences in the mass spectra of ribosomal proteins was nearly identical to that by genotypic identification (i.e., by analyses of 16S rRNA and recA gene sequences and amplified fragment length polymorphism). The three ribosomal subunits 30S/L31, 50S/L31, and 50S/L35 were the best markers for discriminating L. lactis subsp. cremoris from L. lactis subsp. lactis. Proteomics identification using MALDI-TOF MS was therefore a powerful method for discriminating and identifying these bacteria. In addition, this method was faster and more reliable than others that we examined.


Sign in / Sign up

Export Citation Format

Share Document