应用基质辅助激光电离飞行时间质谱快速鉴定临床酵母菌

目的研究基质辅助激光解析电离飞行时间质谱(Matrix-Assisted Laser Desorption Ionization-Time of Flight MassSpectrometry,MALDI-TOF-MS)用于快速检测鉴定临床分离的酵母菌的可行性。方法应用Bruker MALDI-TOF-MS和VITEK 2-compact系统分别鉴定150株临床分离的酵母菌,结果不一致的菌株通过基因序列测定来鉴定。结果 MALDI-TOF-MS快速准确鉴定出了150株临床酵母菌,鉴定符合率在属水平上为100%,种水平上为94%。结论基于MALDI-TOF-MS鉴定方法具有很好的可重复性和准确性,并且其检测成本较低,实验准备时间很短,MALDI-TOF-MS可以用于临床分离的酵母菌的快速鉴定。     

Comparison of the Biolog OmniLog Identification System and 16S ribosomal RNA gene sequencing for accuracy in identification of atypical bacteria of clinical origin

The Biolog OmniLog Identification System (Biolog) and the 16S ribosomal RNA (rRNA) gene sequencing methods were compared to conventional microbiological methods and evaluated for accuracy of bacterial identification. These methods were evaluated using 159 clinical isolates. Each isolate was initially identified by conventional biochemical tests and morphological characteristics and subsequently placed into one of seven categories: aerobic Actinomycetes, Bacillus, Coryneforms, fastidious Gram-negative rods (GNR), non-fermenting GNR, miscellaneous Gram-positive rods (GPR), and Vibrio/Aeromonas. After comparison to the conventional identification, the Biolog system and 16S rRNA gene sequence identifications were classified as follows: a) correct to the genus and species levels; b) correct to the genus level only; or c) neither (unacceptable) identification. Overall, 16S rRNA gene sequencing had the highest percent accuracy with 90.6% correct identifications, while the Biolog system identified 68.3% of the isolates correctly. For each category, 16S rRNA gene sequencing had a substantially higher percent accuracy compared to the conventional methods. It was determined that the Biolog system is deficient when identifying organisms in the fastidious GNR category (20.0%). The observed data suggest that 16S rRNA gene sequencing provides a more accurate identification of atypical bacteria than the Biolog system.     

伏曲酵母菌的分类鉴定及来源分析的研究

目的:统计分析酵母菌的来源,为大曲微生物物种及其来源变化提供基础资料.方法:利用Biolog微生物自动分析系统进行精确鉴定,并通过统计分析得出微生物菌种的来源.结果:从伏曲样品中分离纯化出7株酵母菌J-1,2,3,4,5,6,7,利用Biolog微生物自动鉴定系统进行鉴定,确定其分别为白吉利丝孢酵母A、无名假丝酵母菌、汉逊德巴利酵母C、海隐球酵母菌、东方伊萨酵母菌、解脂耶罗威亚酵母菌、皱落假丝酵母菌.这些物种主要来源于原料本身和空气,原料为了人室大曲提供了J-1,2,3三种酵母菌,其比例为25.45%、19.23%和7.5%.结论:空气巾含有大曲中所有的酵母菌的种类,曲房空气中的酵母菌数量和种类均较多.     

Characterization of the yeast flora present in some Turkish high-sugar products

In this study, 129 Turkish high-sugar products were examined in terms of their yeast flora and 73 representative strains were isolated. Yeast isolates were identified at species level by using Apilab Plus (bioMérieux, France), a specific computer program developed for ID 32C strips (bioMérieux, France). While one of the isolates could be identified at genus level as Aureobasidium, 66 of them were identified as 21 species belonging to 8 different genera. The distribution of these isolates were as follows: Candida (38), Rhodotorula (8), Zygosaccharomyces (7), Cryptococcus (6), Saccharomyces (3), Debaryomyces (2), Pichia (1) and Torulaspora (1). Approximately 70% of the isolates were found to have the ability to grow on media with 50% (w/w) glucose. Hence, they were characterized as xerotolerant strains. Although Zygosaccharomyces rouxii is known as the most xerotolerant yeast species, only two strains of Z. rouxii could be isolated from Turkish high-sugar foods. During identification studies, it was observed that ID 32C test strips should certainly be supported by morphological and physiological tests for obtaining more reliable identification results. If not, closely related yeast species such as anamorph and telemorph forms can not be distinguished.     

BIOLOG细菌自动鉴定系统的应用与研究

利用ＢＩＯＬＯＧＭｉｃｒｏｓｔａｔｉｏｎ细菌自动鉴定系统对环境和临床来源的２０个属９０株菌进行了检测,同时以传统方法进行验证。２４ｈＢＩＯＬＯＧ系统鉴定结果：６２株革兰氏阴性菌中,５８株准确鉴定到属的水平（９３．５％）,５２株准确到种的水平（８３．９％）。２８株革兰氏阳性菌中,２５株准确到属的水平（８９．３％）,１１株准确到种的水平（３９．３％）,总计属的水平准确率９２．２％（８３／９０）,种的水平准确率７０．０％（６３／９０）,其中环境来源的菌株准确率高于临床样品。本文还对某些属遇到的问题     

Evaluation of the Auxacolor system for the identification of clinical yeast isolates

In the last decade the number of systemic yeast infections has increased significantly. Although Candida albicans is the most frequently isolated yeast from clinical specimens, the emergence of non-albicans species has clearly been a recent concern. As a consequence, there is a greater need for rapid and accurate methods for yeast identification. The aim of this study was to evaluate the performance of the AUXACOLOR system (Sanofi Diagnostics Pasteur) for the identification of clinically relevant yeasts, as compared with the conventional method. Yeast isolates (n = 97) belonging to 12 species were identified by the commercial system and the classic method. Correct identifications were obtained by using AUXACOLOR system in 79.4% of the isolates tested. Misidentification occurred in 5.2% of the strains and 15.5% were not identified due to a failure in the manufacturer's data base. In order to improve its accuracy, there is a need for expanding the database or revamping the tests included in the system. This revised version was published online in June 2006 with corrections to the Cover Date.     

Evaluation of the RAPID ID 32A system for the identification of Bacteroides fragilis and related organisms

This study evaluated the ability of a rapid identification system for anaerobic bacteria, ATB 32A, now renamed RAPID ID 32A (API-bioMérieux UK Ltd., Basingstoke), to identify accurately 74 strains of the 'B. fragilis group'. ATB 32A identified correctly 78.4% of strains to species level, without supplemental tests. The percentage of strains identified to species level rose to 94.6% when a supplementary test (advised by bioMérieux) for catalase production was used to differentiate between Bacteroides ovatus and Bacteroides uniformis. RAPID ID 32A is a rapid, accurate method for the identification of members of the 'B. fragilis group' isolated within a routine clinical laboratory.     

Evaluation of the RAPID ID 32A system for the identification of Bacteroides fragilis and related organisms

S.A. JENKINS, D.B. DRUCKER, M.G.L. KEANEY AND L.A. GANGULI. 1991. This study evaluated the ability of a rapid identification system for anaerobic bacteria. ATB 32A, now renamed RAPID ID 32A (API-bioMérieux UK Ltd., Basingstoke), to identify accurately 74 strains of the 'B. fragilis group'. ATB 32A identified correctly 78.4% of strains to species level, without supplemental tests. The percentage of strains identified to species level rose to 94.6% when a supplementary test (advised by bioMérieux) for catalase production was used to differentiate between Bacteroides ovatus and Bacteroides uniformis. RAPID ID 32A is a rapid, accurate method for the identification of members of the 'B. fragilis group' isolated within a routine clinical laboratory.     

Mycobacteria mobility shift assay: a method for the rapid identification of Mycobacterium tuberculosis and nontuberculous mycobacteria

The identification of mycobacteria is essential because tuberculosis (TB) and mycobacteriosis are clinically indistinguishable and require different therapeutic regimens. The traditional phenotypic method is time consuming and may last up to 60 days. Indeed, rapid, affordable, specific and easy-to-perform identification methods are needed. We have previously described a polymerase chain reaction-based method called a mycobacteria mobility shift assay (MMSA) that was designed for Mycobacterium tuberculosis complex (MTC) and nontuberculous mycobacteria (NTM) species identification. The aim of this study was to assess the MMSA for the identification of MTC and NTM clinical isolates and to compare its performance with that of the PRA-hsp65 method. A total of 204 clinical isolates (102 NTM and 102 MTC) were identified by the MMSA and PRA-hsp65. For isolates for which these methods gave discordant results, definitive species identification was obtained by sequencing fragments of the 16S rRNA and hsp65 genes. Both methods correctly identified all MTC isolates. Among the NTM isolates, the MMSA alone assigned 94 (92.2%) to a complex or species, whereas the PRA-hsp65 method assigned 100% to a species. A 91.5% agreement was observed for the 94 NTM isolates identified by both methods. The MMSA provided correct identification for 96.8% of the NTM isolates compared with 94.7% for PRA-hsp65. The MMSA is a suitable auxiliary method for routine use for the rapid identification of mycobacteria.     

Sequencer-Based Capillary Gel Electrophoresis (SCGE) Targeting the rDNA Internal Transcribed Spacer (ITS) Regions for Accurate Identification of Clinically Important Yeast Species

Accurate species identification of Candida, Cryptococcus, Trichosporon and other yeast pathogens is important for clinical management. In the present study, we developed and evaluated a yeast species identification scheme by determining the rDNA internal transcribed spacer (ITS) region length types (LTs) using a sequencer-based capillary gel electrophoresis (SCGE) approach. A total of 156 yeast isolates encompassing 32 species were first used to establish a reference SCGE ITS LT database. Evaluation of the ITS LT database was then performed on (i) a separate set of (n = 97) clinical isolates by SCGE, and (ii) 41 isolates of 41 additional yeast species from GenBank by in silico analysis. Of 156 isolates used to build the reference database, 41 ITS LTs were identified, which correctly identified 29 of the 32 (90.6%) species, with the exception of Trichosporon asahii, Trichosporon japonicum and Trichosporon asteroides. In addition, eight of the 32 species revealed different electropherograms and were subtyped into 2–3 different ITS LTs each. Of the 97 test isolates used to evaluate the ITS LT scheme, 96 (99.0%) were correctly identified to species level, with the remaining isolate having a novel ITS LT. Of the additional 41 isolates for in silico analysis, none was misidentified by the ITS LT database except for Trichosporon mucoides whose ITS LT profile was identical to that of Trichosporon dermatis. In conclusion, yeast identification by the present SCGE ITS LT assay is a fast, reproducible and accurate alternative for the identification of clinically important yeasts with the exception of Trichosporon species.     

田间施药对自然发酵葡萄酒酵母菌群落结构的影响

【背景】酵母菌是葡萄酒发酵过程中一类非常重要的微生物,其多样性及群体组成对葡萄酒的质量有重要贡献。影响葡萄酒中酵母菌组成的因素有很多,但目前尚未见葡萄园田管理对葡萄酒酵母菌群落结构影响方面的报道。【目的】探索田间施药对自然发酵葡萄酒酵母菌群落结构的影响。【方法】采用分离培养、常规分子生物学鉴定和Illumina MiSeq宏基因组测序结合的方法分析不同样品中的酵母菌群落结构情况。【结果】从不使用内吸收型化学农药的葡萄样品自然发酵液中分离鉴定出Pichia、Hanseniaspora、Schizosaccharomyces、Candida、Saccharomyces、Zygoascus、Issatchenkia等7个属8个种的酵母菌,宏基因组测序结果表明有Pichia(29.42%)、Saccharomyces(21.91%)、Issatchenkia(17.99%)、 Hanseniaspora(12.10%)、 Candida(7.47%)、 Zygosaccharomyces(5.32%)、Schizosaccharomyces (3.07%)、Aureobasidium (0.29%)等属的酵母菌参与发酵;使用常规化学农药的葡萄样品自然发酵液中分离鉴定出Pichia、Hanseniaspora、Schizosaccharomyces、Candida、Cryptococcus等5个属6个种的酵母菌,宏基因组测序结果表明有Pichia (41.66%)、Hanseniaspora (21.54%)、Candida(19.11%)、 Zygosaccharomyces(7.78%)、 Schizosaccharomyces(4.04%)、 Cryptococcus(3.21%)、Saccharomyces (1.12%)、Aureobasidium (0.49%)等属的酵母菌参与发酵。【结论】两样品中酵母菌比例有显著差异,表明在酿酒葡萄的园田管理中化学农药的使用对自然发酵葡萄酒的酵母菌群落结构有较大影响。     

Comparison of PCR-RFLP with 21-plex PCR and rDNA Sequencing for Identification of Clinical Yeast Isolates

Non-albicans Candida species and other rare yeasts have emerged as major opportunistic pathogens in fungal infections. Identification of opportunistic yeasts in developing countries is mainly performed by phenotypic assay, which are time-consuming and prone to errors. The aim of the present study was to evaluate PCR-RFLP as a routinely used identification technique for the most clinically important Candida species in Iran and make a comparison with a novel multiplex PCR, called 21-plex PCR. One hundred and seventy-three yeast isolates from clinical sources were selected and identified with sequence analysis of the D1/D2 domains of rDNA (LSU rDNA) sequencing as the gold standard method. The results were compared with those obtained by PCR-RFLP using MspI restriction enzyme and the 21-plex PCR. PCR-RFLP correctly identified 93.4% of common pathogenic Candida species (C. albicans, C. glabrata, C. parapsilosis, C. tropicalis, and P. kudriavsevii (=?C. krusei)) and was able to identify 45.5% of isolates of the uncommon yeast species compared to the D1/D2 rDNA sequencing. Compared with PCR-RFLP, all common Candida species and 72.7% of uncommon yeast species were correctly identified by the 21-plex PCR. The application of the 21-plex PCR assay as a non-sequence-based molecular method for the identification of common and rare yeasts can reduce turnaround time and costs for the identification of clinically important yeasts and can be applied in resource-limited settings.

     

Comparison of the Accuracy of Two Conventional Phenotypic Methods and Two MALDI-TOF MS Systems with That of DNA Sequencing Analysis for Correctly Identifying Clinically Encountered Yeasts

We assessed the accuracy of species-level identification of two commercially available matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS) systems (Bruker Biotyper and Vitek MS) and two conventional phenotypic methods (Phoenix 100 YBC and Vitek 2 Yeast ID) with that of rDNA gene sequencing analysis among 200 clinical isolates of commonly encountered yeasts. The correct identification rates of the 200 yeast isolates to species or complex (Candida parapsilosis complex, C. guilliermondii complex and C. rugosa complex) levels by the Bruker Biotyper, Vitek MS (using in vitro devices [IVD] database), Phoenix 100 YBC and Vitek 2 Yeast ID (Sabouraud''s dextrose agar) systems were 92.5%, 79.5%, 89%, and 74%, respectively. An additional 72 isolates of C. parapsilosis complex and 18 from the above 200 isolates (30 in each of C. parapsilosis, C. metapsilosis, and C. orthopsilosis) were also evaluated separately. Bruker Biotyper system could accurately identify all C. parapsilosis complex to species level. Using Vitek 2 MS (IVD) system, all C. parapsilosis but none of C. metapsilosis, or C. orthopsilosis could be accurately identified. Among the 89 yeasts misidentified by the Vitek 2 MS (IVD) system, 39 (43.8%), including 27 C. orthopsilosis isolates, could be correctly identified Using the Vitek MS Plus SARAMIS database for research use only. This resulted in an increase in the rate of correct identification of all yeast isolates (87.5%) by Vitek 2 MS. The two species in C. guilliermondii complex (C. guilliermondii and C. fermentati) isolates were correctly identified by cluster analysis of spectra generated by the Bruker Biotyper system. Based on the results obtained in the current study, MALDI-TOF MS systems present a promising alternative for the routine identification of yeast species, including clinically commonly and rarely encountered yeast species and several species belonging to C. parapsilosis complex, C. guilliermondii complex, and C. rugosa complex.     

26S rDNA单链构象多态性分析在临床酵母菌菌种鉴定中的应用

摘要： 【目的】探讨酵母菌临床分离株26S rDNA D1/D2区序列种内相似性和种间差异性的快速检测方法,为临床酵母菌菌种鉴定方法的改进奠定基础。调查北京地区临床酵母菌的种群多样性,为国内酵母菌感染的流行病学研究提供新的基础数据。【方法】用5种常见临床酵母菌种的模式和权威菌株作为标准参考菌株,从北京四家综合性医院收集临床酵母菌260余株,PCR扩增其26S rDNA D1/D2区,对扩增产物进行单链构象多态性（Single-Strand Conformation Polymorphism,SSCP）分析和序列测定分析。【结果】常见病原酵母菌26S rDNA D1/D2区的SSCP图谱具有明显的种间差异性和种内相似性,可以通过该方法对菌株进行初步的菌种鉴定。D1/D2-SSCP和序列分析相结合,对260余株临床酵母菌进行了菌种鉴定,共鉴定有10个属20个种,优势属为念珠菌属(Candida),优势种及其所占比例分别是：C. albicans (57.7%), C. parapsilosis (10.0%), C. tropicalis (9.2%), C. glabrata (6.7%)和C. krusei (5.8%),并发现过去从未或很少报道致病的酵母菌种,愈来愈多地出现在临床分离菌株中。【结论】 26S rDNA D1/D2区的SSCP图谱分析为临床酵母菌株的快速鉴定提供了新的方法;北京地区酵母菌临床分离株呈种群多样性分布,C. albicans虽然仍占优势,但其它念珠菌种的比例已达42%。     

Species-specific PCR primers for the rapid identification of yeasts of the genus Zygosaccharomyces

Species-specific primer pairs that produce a single band of known product size have been developed for members of the Zygosaccharomyces clade including Zygosaccharomyces bailii, Zygosaccharomyces bisporus, Zygosaccharomyces kombuchaensis, Zygosaccharomyces lentus, Zygosaccharomyces machadoi, Zygosaccharomyces mellis and Zygosaccharomyces rouxii. An existing primer pair for the provisional new species Zygosaccharomyces pseudorouxii has been confirmed as specific. The HIS3 gene, encoding imidazole-glycerolphosphate dehydratase, was used as the target gene. This housekeeping gene evolves slowly and is thus well conserved among different isolates, but shows a significant number of base pair changes between even closely related species, sufficient for species-specific primer design. The primers were tested on type and wild strains of the genus Zygosaccharomyces and on members of the Saccharomycetaceae. Sequencing of the D1/D2 region of rDNA was used to confirm the identification of all nonculture collection isolates. This approach used extracted genomic DNA, but in practice, it can be used efficiently with a rapid colony PCR protocol. The method also successfully detected known and new hybrid strains of Z. rouxii and Z. pseudorouxii. The method is rapid, robust and inexpensive. It requires little expertise by the user and is thus useful for preliminary, large-scale screens.     

FT-IR microspectroscopy: a promising method for the rapid identification of Listeria species

This work presents a pilot study to investigate the potential of fourier transform infrared (FT-IR) microspectroscopy for rapid identification of Listeria at the species level. Using this technique, FT-IR spectra were acquired from 30 strains from five Listeria species. The FT-IR spectra were analysed using stepwise canonical discriminant analysis and partial least-squares regression in a stepwise identification scheme. The results showed that 93% of all the samples were assigned to the correct species, and that 80% of the Listeria monocytogenes strains were correctly identified. In comparison, 100% of the samples, including the L. monocytogenes samples, were correctly identified using spectra acquired by FT-IR macrospectroscopy. The results show that FT-IR microspectroscopy has potential as a rapid screening method for Listeria, which is especially valuable for the food industry.     

Evaluation of the MicroScan enzyme-based system for the identification of foodborne yeasts

Eighty-nine strains representing 36 species of foodborne yeasts isolated from fruit juice concentrates were identified using the Baxter MicroScan enzyme-based kit, conventional tests according to a simplified identification method (SIM), and the API 20C kit. Of the 15 test species included in the MicroScan database, only 40% were correctly identified; 13% gave scores of unacceptably low probabilities, 20% were misidentified, and 27% could not be identified. Of the 21 test species not in the MicroScan database, 38% were misidentified and 62% produced biocodes with between-species differences not larger than differences between strains within species. The reliability of the MicroScan enzyme-based system is questioned, in that different results were sometimes obtained upon retesting the same strains. The MicroScan enzyme-based system is rapid, providing results within 4 h. However, because of its restricted and specific database and unreliability, the system appears to be unsuited for the identification of foodborne yeasts.     

Yeast species associated with orange juice: evaluation of different identification methods

Five different methods were used to identify yeast isolates from a variety of citrus juice sources. A total of 99 strains, including reference strains, were identified using a partial sequence of the 26S rRNA gene, restriction pattern analysis of the internal transcribed spacer region (5.8S-ITS), classical methodology, the RapID Yeast Plus system, and API 20C AUX. Twenty-three different species were identified representing 11 different genera. Distribution of the species was considerably different depending on the type of sample. Fourteen different species were identified from pasteurized single-strength orange juice that had been contaminated after pasteurization (PSOJ), while only six species were isolated from fresh-squeezed, unpasteurized orange juice (FSOJ). Among PSOJ isolates, Candida intermedia and Candida parapsilosis were the predominant species. Hanseniaspora occidentalis and Hanseniaspora uvarum represented up to 73% of total FSOJ isolates. Partial sequence of the 26S rRNA gene yielded the best results in terms of correct identification, followed by classical techniques and 5.8S-ITS analysis. The commercial identification kits RapID Yeast Plus system and API 20C AUX were able to correctly identify only 35 and 13% of the isolates, respectively. Six new 5.8S-ITS profiles were described, corresponding to Clavispora lusitaniae, Geotrichum citri-aurantii, H. occidentalis, H. vineae, Pichia fermentans, and Saccharomycopsis crataegensis. With the addition of these new profiles to the existing database, the use of 5.8S-ITS sequence became the best tool for rapid and accurate identification of yeast isolates from orange juice.     

Molecular assessment of indigenous yeast population from traditional balsamic vinegar

AIMS: To identify and describe the indigenous yeast population involved in traditional balsamic vinegar (TBV) fermentation. METHODS AND RESULTS: Using the restriction analysis of the ribosomal region 5.8S (5.8S rRNA) and the internal transcribed spacers 1 and 2 (5.8S-ITS region) we were able to group 133 strains isolated from 17 cooked grape must samples into 10 different yeast species, included into 4 genera. Moreover, we sequenced the D1/D2 domains of the 26S rRNA and confirmed the reliability of each identification at species level. Most strains belonged to the genus Zygosaccharomyces. In particular, Zygosaccharomyces bailii was found in 41% of the samples, followed by Saccharomyces cerevisiae, Zygosaccharomyces pseudorouxii and Candida stellata. Strains belonging respectively to Zygosaccharomyces mellis, Zygosaccharomyces bisporus, Zygosaccharomyces rouxii, Hanseniaspora valbyensis, Hanseniaspora osmophila and Candida lactis-condensi species were also detected. Despite the great number of species recovered, the mtDNA restriction profiles showed low variability at strain level. Saccharomyces cerevisiae isolates with an higher degree of intraspecific variance were considered an exception. CONCLUSIONS: Many different indigenous yeast species were recovered and TBV yeasts population seems to be far more complex than what was reported in previous literature. SIGNIFICANCE AND IMPACT OF THE STUDY: This study has allowed us to gain a better understanding of the indigenous yeast species of TBV cooked must.     

Zygosaccharomyces kombuchaensis,a new ascosporogenous yeast from 'Kombucha tea'

A new ascosporogenous yeast, Zygosaccharomyces kombuchaensis sp. n. (type strain NRRL YB-4811, CBS 8849), is described; it was isolated from Kombucha tea, a popular fermented tea-based beverage. The four known strains of the new species have identical nucleotide sequences in domain D1/D2 of 26S rDNA. Phylogenetic analysis of D1/D2 and 18S rDNA sequences places Z. kombuchaensis near Zygosaccharomyces lentus. The two species are indistinguishable on standard physiological tests used for yeast identification, but can be recognized from differences in restriction fragment length polymorphism patterns obtained by digestion of 18S-ITS1 amplicons with the restriction enzymes DdeI and MboI.