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McCarthy WP, Srinivas M, Danaher M, Connor CO, Callaghan TFO, van Sinderen D, Kenny J, Tobin JT. Isolation and identification of chlorate-reducing Hafnia sp. from milk. MICROBIOLOGY (READING, ENGLAND) 2023; 169:001347. [PMID: 37450378 PMCID: PMC10433419 DOI: 10.1099/mic.0.001347] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/26/2022] [Accepted: 05/31/2023] [Indexed: 07/18/2023]
Abstract
Chlorate has become a concern in the food and beverage sector, related to chlorine sanitizers in industrial food production and water treatment. It is of particular concern to regulatory bodies due to the negative health effects of chlorate exposure. This study investigated the fate of chlorate in raw milk and isolated bacterial strains of interest responsible for chlorate breakdown. Unpasteurized milk was demonstrated to have a chlorate-reducing capacity, breaking down enriched chlorate to undetectable levels in 11 days. Further enrichment and isolation using conditions specific to chlorate-reducing bacteria successfully isolated three distinct strains of Hafnia paralvei. Chlorate-reducing bacteria were observed to grow in a chlorate-enriched medium with lactate as an electron donor. All isolated strains were demonstrated to reduce chlorate in liquid medium; however, the exact mechanism of chlorate degradation was not definitively identified in this study.
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Affiliation(s)
- William P. McCarthy
- Food Chemistry and Technology Department, Teagasc Food Research Centre, Moorepark, Fermoy, Cork, Ireland
- School of Food Science and Environmental Health, Technological University Dublin, Grangegorman, Dublin 7, Ireland
| | - Meghana Srinivas
- Food Biosciences Department, Teagasc Food Research Centre, Moorepark, Fermoy, Cork, Ireland
- School of Microbiology, University College Cork, Cork, Ireland
- APC Microbiome Ireland, University College Cork, Cork, Ireland
| | - Martin Danaher
- Food Safety Department, Teagasc Food Research Centre, Ashtown, Dublin 15, Ireland
| | - Christine O. Connor
- School of Food Science and Environmental Health, Technological University Dublin, Grangegorman, Dublin 7, Ireland
| | - Tom F. O. Callaghan
- School of Food and Nutritional Sciences, University College Cork, Cork, Ireland
| | - Douwe van Sinderen
- School of Microbiology, University College Cork, Cork, Ireland
- APC Microbiome Ireland, University College Cork, Cork, Ireland
| | - John Kenny
- Food Biosciences Department, Teagasc Food Research Centre, Moorepark, Fermoy, Cork, Ireland
- VistaMilk Science Foundation Ireland Research Centre, Teagasc, Moorepark, Fermoy, Cork, Ireland
| | - John T. Tobin
- Food Chemistry and Technology Department, Teagasc Food Research Centre, Moorepark, Fermoy, Cork, Ireland
- VistaMilk Science Foundation Ireland Research Centre, Teagasc, Moorepark, Fermoy, Cork, Ireland
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The Changing Face of the Family Enterobacteriaceae (Order: " Enterobacterales"): New Members, Taxonomic Issues, Geographic Expansion, and New Diseases and Disease Syndromes. Clin Microbiol Rev 2021; 34:34/2/e00174-20. [PMID: 33627443 DOI: 10.1128/cmr.00174-20] [Citation(s) in RCA: 67] [Impact Index Per Article: 22.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
The family Enterobacteriaceae has undergone significant morphogenetic changes in its more than 85-year history, particularly during the past 2 decades (2000 to 2020). The development and introduction of new and novel molecular methods coupled with innovative laboratory techniques have led to many advances. We now know that the global range of enterobacteria is much more expansive than previously recognized, as they play important roles in the environment in vegetative processes and through widespread environmental distribution through insect vectors. In humans, many new species have been described, some associated with specific disease processes. Some established species are now observed in new infectious disease settings and syndromes. The results of molecular taxonomic and phylogenetics studies suggest that the current family Enterobacteriaceae should possibly be divided into seven or more separate families. The logarithmic explosion in the number of enterobacterial species described brings into question the relevancy, need, and mechanisms to potentially identify these taxa. This review covers the progression, transformation, and morphogenesis of the family from the seminal Centers for Disease Control and Prevention publication (J. J. Farmer III, B. R. Davis, F. W. Hickman-Brenner, A. McWhorter, et al., J Clin Microbiol 21:46-76, 1985, https://doi.org/10.1128/JCM.21.1.46-76.1985) to the present.
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Performance and Application of 16S rRNA Gene Cycle Sequencing for Routine Identification of Bacteria in the Clinical Microbiology Laboratory. Clin Microbiol Rev 2020; 33:33/4/e00053-19. [PMID: 32907806 DOI: 10.1128/cmr.00053-19] [Citation(s) in RCA: 106] [Impact Index Per Article: 26.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
This review provides a state-of-the-art description of the performance of Sanger cycle sequencing of the 16S rRNA gene for routine identification of bacteria in the clinical microbiology laboratory. A detailed description of the technology and current methodology is outlined with a major focus on proper data analyses and interpretation of sequences. The remainder of the article is focused on a comprehensive evaluation of the application of this method for identification of bacterial pathogens based on analyses of 16S multialignment sequences. In particular, the existing limitations of similarity within 16S for genus- and species-level differentiation of clinically relevant pathogens and the lack of sequence data currently available in public databases is highlighted. A multiyear experience is described of a large regional clinical microbiology service with direct 16S broad-range PCR followed by cycle sequencing for direct detection of pathogens in appropriate clinical samples. The ability of proteomics (matrix-assisted desorption ionization-time of flight) versus 16S sequencing for bacterial identification and genotyping is compared. Finally, the potential for whole-genome analysis by next-generation sequencing (NGS) to replace 16S sequencing for routine diagnostic use is presented for several applications, including the barriers that must be overcome to fully implement newer genomic methods in clinical microbiology. A future challenge for large clinical, reference, and research laboratories, as well as for industry, will be the translation of vast amounts of accrued NGS microbial data into convenient algorithm testing schemes for various applications (i.e., microbial identification, genotyping, and metagenomics and microbiome analyses) so that clinically relevant information can be reported to physicians in a format that is understood and actionable. These challenges will not be faced by clinical microbiologists alone but by every scientist involved in a domain where natural diversity of genes and gene sequences plays a critical role in disease, health, pathogenicity, epidemiology, and other aspects of life-forms. Overcoming these challenges will require global multidisciplinary efforts across fields that do not normally interact with the clinical arena to make vast amounts of sequencing data clinically interpretable and actionable at the bedside.
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Lau SK, Woo PC. Pitfalls in big data analysis: next-generation technologies, last-generation data. Diagn Microbiol Infect Dis 2019; 94:209-210. [DOI: 10.1016/j.diagmicrobio.2018.12.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2018] [Accepted: 12/12/2018] [Indexed: 11/25/2022]
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Jung-Schroers V, Jung A, Ryll M, Bauer J, Teitge F, Steinhagen D. Diagnostic methods for identifying different Aeromonas species and examining their pathogenicity factors, their correlation to cytotoxicity and adherence to fish mucus. JOURNAL OF FISH DISEASES 2019; 42:189-219. [PMID: 30521094 DOI: 10.1111/jfd.12917] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/24/2018] [Revised: 09/28/2018] [Accepted: 09/28/2018] [Indexed: 06/09/2023]
Abstract
Aeromonas spp. are ubiquitous in the aquatic environment, acting as facultative or obligate pathogens for fish. Identifying Aeromonas spp. is important for pathogenesis and prognosis in diagnostic cases but can be difficult because of their close relationship. Forty-four already characterized isolates of Aeromonas spp. were analysed by 16S rRNA gene sequencing, by gyrase B sequencing, by analysing their fatty acid profiles, by biochemical reactions and by MALDI-TOF MS. To determine their pathogenicity, cytotoxicity, adhesion to mucus and the expression of 12 virulence factors were tested. The susceptibility of the isolates towards 13 different antibiotics was determined. MALDI-TOF MS was found to be an acceptable identification method for Aeromonas spp. Although the method does not detect all species correctly, it is time-effective and entails relatively low costs and no other methods achieved better results. A high prevalence of virulence-related gene fragments was detected in almost all examined Aeromonas spp., especially in A. hydrophila and A. salmonicida, and most isolates exhibited a cytotoxic effect. Single isolates of A. hydrophila and A. salmonicida showed multiple resistance to antibiotics. These results might indicate the potentially pathogenic capacity of Aeromonas spp., suggesting a risk for aquatic animals and even humans, given their ubiquitous nature.
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Affiliation(s)
- Verena Jung-Schroers
- Fish Disease Research Unit, University of Veterinary Medicine, Hannover, Germany
| | - Arne Jung
- Clinic for Poultry, University of Veterinary Medicine, Hannover, Germany
| | - Martin Ryll
- Clinic for Poultry, University of Veterinary Medicine, Hannover, Germany
| | - Julia Bauer
- Fish Disease Research Unit, University of Veterinary Medicine, Hannover, Germany
| | - Felix Teitge
- Fish Disease Research Unit, University of Veterinary Medicine, Hannover, Germany
| | - Dieter Steinhagen
- Fish Disease Research Unit, University of Veterinary Medicine, Hannover, Germany
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Jung JY, Yoon HK, An S, Lee JW, Ahn ER, Kim YJ, Park HC, Lee K, Hwang JH, Lim SK. Rapid oral bacteria detection based on real-time PCR for the forensic identification of saliva. Sci Rep 2018; 8:10852. [PMID: 30022122 PMCID: PMC6052055 DOI: 10.1038/s41598-018-29264-2] [Citation(s) in RCA: 32] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2017] [Accepted: 07/09/2018] [Indexed: 11/09/2022] Open
Abstract
This study developed a new method for forensic saliva identification using three oral bacteria, Streptococcus salivarius, Streptococcus sanguinis, and Neisseria subflava, combined with a real-time polymerase chain reaction (RT-PCR) system we called OB mRT-PCR. Analytical sensitivity results showed that the target bacteria were amplified at 102-107 copies/reaction, and analytical specificity was assessed using 24 other viruses, bacteria, and protozoa. To evaluate the OB mRT-PCR kit for forensic applications, saliva from 140 Korean individuals was tested, and at least two target bacteria were detected in all the samples. Additional studies on non-saliva samples demonstrated the specificity of the kit. Comparison of the kit with two conventional saliva test methods, the SALIgAE and RSID-Saliva assays, indicated that it was more sensitive and applicable to saliva samples in long-term storage (up to 14 weeks). Additionally, through amplification of mock forensic items and old DNA samples (isolated without lysis of the bacterial cells, regardless of their Gram-positivity), we found that the kit was applicable to not only saliva swabs, but also DNA samples. We suggest that this simple RT-PCR-based experimental method is feasible for rapid on-site analysis, and we expect this kit to be useful for saliva detection in old forensic DNA samples.
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Affiliation(s)
- Ju Yeon Jung
- Forensic DNA Division, National Forensic Service, 10, Ipchun-ro, Wonju-si, Gangwon-do, 26460, Republic of Korea
| | - Hyun Kyu Yoon
- JS Biotech, Business Incubation Center, Kyungbok University, 425 Kyungbokdae-ro, Jinjeop-eup, Namyangju-si, Gyeonggi-do, 12051, Republic of Korea
| | - Sanghyun An
- DNA Analysis Division, Seoul Institute, National Forensic Service, 139, Jiyang-ro, Yangcheon-gu, Seoul, 08036, Republic of Korea
| | - Jee Won Lee
- Forensic DNA Division, National Forensic Service, 10, Ipchun-ro, Wonju-si, Gangwon-do, 26460, Republic of Korea
| | - Eu-Ree Ahn
- Forensic DNA Division, National Forensic Service, 10, Ipchun-ro, Wonju-si, Gangwon-do, 26460, Republic of Korea
| | - Yeon-Ji Kim
- Forensic DNA Division, National Forensic Service, 10, Ipchun-ro, Wonju-si, Gangwon-do, 26460, Republic of Korea
| | - Hyun-Chul Park
- Forensic DNA Division, National Forensic Service, 10, Ipchun-ro, Wonju-si, Gangwon-do, 26460, Republic of Korea
| | - Kyungmyung Lee
- Forensic DNA Division, National Forensic Service, 10, Ipchun-ro, Wonju-si, Gangwon-do, 26460, Republic of Korea
| | - Jung Ho Hwang
- Forensic DNA Division, National Forensic Service, 10, Ipchun-ro, Wonju-si, Gangwon-do, 26460, Republic of Korea
| | - Si-Keun Lim
- Forensic DNA Division, National Forensic Service, 10, Ipchun-ro, Wonju-si, Gangwon-do, 26460, Republic of Korea.
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Mustafa AS, Habibi N, Osman A, Shaheed F, Khan MW. Species identification and molecular typing of human Brucella isolates from Kuwait. PLoS One 2017; 12:e0182111. [PMID: 28800594 PMCID: PMC5553756 DOI: 10.1371/journal.pone.0182111] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2017] [Accepted: 07/12/2017] [Indexed: 11/19/2022] Open
Abstract
Brucellosis is a zoonotic disease of major concern in Kuwait and the Middle East. Human brucellosis can be caused by several Brucella species with varying degree of pathogenesis, and relapses are common after apparently successful therapy. The classical biochemical methods for identification of Brucella are time-consuming, cumbersome, and provide information limited to the species level only. In contrast, molecular methods are rapid and provide differentiation at intra-species level. In this study, four molecular methods [16S rRNA gene sequencing, real-time PCR, enterobacterial repetitive intergenic consensus (ERIC)-PCR and multilocus variable-number tandem-repeat analysis (MLVA)-8, MLVA-11 and MLVA-16 were evaluated for the identification and typing of 75 strains of Brucella isolated in Kuwait. 16S rRNA gene sequencing of all isolates showed 90-99% sequence identity with B. melitensis and real-time PCR with genus- and species- specific primers identified all isolates as B. melitensis. The results of ERIC-PCR suggested the existence of 75 ERIC genotypes of B. melitensis with a discriminatory index of 0.997. Cluster classification of these genotypes divided them into two clusters, A and B, diverging at ~25%. The maximum number of genotypes (n = 51) were found in cluster B5. MLVA-8 analysis identified all isolates as B. melitensis, and MLVA-8, MLVA-11 and MLVA-16 typing divided the isolates into 10, 32 and 71 MLVA types, respectively. Furthermore, the combined minimum spanning tree analysis demonstrated that, compared to MLVA types discovered all over the world, the Kuwaiti isolates were a distinct group of MLVA-11 and MLVA-16 types in the East Mediterranean Region.
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Affiliation(s)
- Abu S. Mustafa
- OMICS Research Unit and Research Core Facility, Heath Sciences Centre, Kuwait University, Jabriya, Kuwait
- Department of Microbiology, Faculty of Medicine, Heath Sciences Centre, Kuwait University, Jabriya, Kuwait
- * E-mail:
| | - Nazima Habibi
- OMICS Research Unit and Research Core Facility, Heath Sciences Centre, Kuwait University, Jabriya, Kuwait
| | - Amr Osman
- OMICS Research Unit and Research Core Facility, Heath Sciences Centre, Kuwait University, Jabriya, Kuwait
| | - Faraz Shaheed
- OMICS Research Unit and Research Core Facility, Heath Sciences Centre, Kuwait University, Jabriya, Kuwait
| | - Mohd W. Khan
- OMICS Research Unit and Research Core Facility, Heath Sciences Centre, Kuwait University, Jabriya, Kuwait
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8
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Park G, Jin WY, Jang SJ, Kook JK, Choi JA, Park GC, Lee MJ, Park SN, Li XM, Cho SS, Jang CH, Kang SH, Moon DS. Evaluation of four methods of assigning species and genus to medically important bacteria using 16S rRNA gene sequence analysis. Microbiol Immunol 2016; 59:285-98. [PMID: 25786669 DOI: 10.1111/1348-0421.12254] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2014] [Revised: 03/03/2015] [Accepted: 03/04/2015] [Indexed: 01/08/2023]
Abstract
The four methods for assigning bacterial species are the Clinical and Laboratory Standards Institute (CLSI), modified CLSI (mCLSI), phylogenetic analysis (PA) and closest match (CM) methods, these are used to identify the genus and species using 16S rRNA gene sequence results. In this study, the results of identification by these four methods of 37 aerobic reference strains, 30 anaerobic reference strains, 15 Acinetobacter reference strains and 167 Acinetobacter clinical strains were compared. The rates of accurate identification to the species level using the CLSI, mCLSI, PA and CM methods were as follows: 24.3, 86.5, 86.5 and 89.2%, respectively, for the 37 aerobic reference strains; 73.3%, 96.7%, 90.0% and 93.3%, respectively, for the 30 anaerobic reference strains; 40.0%, 93.3%, 100% and 93.3%, respectively, for the 15 Acinetobacter reference strains; and 53.9%, 90.4%, 95.8% and 90.4%, respectively, for the 167 Acinetobacter clinical strains. The rates of accurate identification to the genus level using the CLSI, mCLSI, PA, and CM methods were as follows: 91.9%, 91.9%, 94.6% and 91.9%, respectively, for the 37 aerobic reference strains; 100%, 100%, 100% and 100%, respectively, for all of the 30 anaerobic reference strains, 15 Acinetobacter reference strains and the 167 Acinetobacter clinical strains. The mCLSI is the most practical and pragmatic method for identification of species based on 16S rRNA sequences for hospital, research or industry laboratories because it performs well and involves a simple procedure.
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Affiliation(s)
- Geon Park
- Department of Laboratory Medicine, College of Medicine, Chosun University, Gwang-Ju, Republic of Korea
| | - Won-Young Jin
- Department of Laboratory Medicine, College of Medicine, Chosun University, Gwang-Ju, Republic of Korea
| | - Sook-Jin Jang
- Department of Laboratory Medicine, College of Medicine, Chosun University, Gwang-Ju, Republic of Korea.,Research Center for Resistant Cells, College of Medicine, Chosun University, Gwang-Ju, Republic of Korea
| | - Joong-Ki Kook
- Korean Collection for Oral Microbiology and Department of Oral Biochemistry, College of Dentistry, Chosun University, Gwang-Ju, Republic of Korea
| | - Ji Ae Choi
- Research Center for Resistant Cells, College of Medicine, Chosun University, Gwang-Ju, Republic of Korea
| | - Gyun Cheol Park
- Department of Laboratory Medicine, College of Medicine, Chosun University, Gwang-Ju, Republic of Korea
| | - Min-Jung Lee
- Research Center for Resistant Cells, College of Medicine, Chosun University, Gwang-Ju, Republic of Korea
| | - Soon-Nang Park
- Korean Collection for Oral Microbiology and Department of Oral Biochemistry, College of Dentistry, Chosun University, Gwang-Ju, Republic of Korea
| | - Xue Min Li
- Department of Internal Medicine, Yantaishan Hospital, Yantai, China
| | - Seong-Sig Cho
- Department of Laboratory Medicine, Chosun University Hospital, Gwang-Ju, Republic of Korea
| | - Chul Ho Jang
- Department of Otolaryngology, Chonnam National University Medical School, Gwangju, 501-757, Republic of Korea
| | - Seong-Ho Kang
- Department of Laboratory Medicine, College of Medicine, Chosun University, Gwang-Ju, Republic of Korea
| | - Dae-Soo Moon
- Department of Laboratory Medicine, College of Medicine, Chosun University, Gwang-Ju, Republic of Korea
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Sridhar S, Wong SS, Tam EW, Lau SK, Woo PC. Report of isolation of Cryptobacterium curtum from a pelvic abscess. JMM Case Rep 2015. [DOI: 10.1099/jmmcr.0.000067] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Affiliation(s)
- Siddharth Sridhar
- Department of Microbiology, University of Hong Kong, University Pathology Building, Queen Mary Hospital, Hong Kong SAR, PR China
| | - Samson S.Y. Wong
- Research Centre of Infection and Immunology, University of Hong Kong, University Pathology Building, Queen Mary Hospital, Hong Kong SAR, PR China
- State Key Laboratory of Emerging Infectious Diseases, University of Hong Kong, University Pathology Building, Queen Mary Hospital, Hong Kong SAR, PR China
- Department of Microbiology, University of Hong Kong, University Pathology Building, Queen Mary Hospital, Hong Kong SAR, PR China
| | - Emily W.T. Tam
- Department of Microbiology, University of Hong Kong, University Pathology Building, Queen Mary Hospital, Hong Kong SAR, PR China
| | - Susanna K.P. Lau
- Research Centre of Infection and Immunology, University of Hong Kong, University Pathology Building, Queen Mary Hospital, Hong Kong SAR, PR China
- State Key Laboratory of Emerging Infectious Diseases, University of Hong Kong, University Pathology Building, Queen Mary Hospital, Hong Kong SAR, PR China
- Department of Microbiology, University of Hong Kong, University Pathology Building, Queen Mary Hospital, Hong Kong SAR, PR China
| | - Patrick C.Y. Woo
- Research Centre of Infection and Immunology, University of Hong Kong, University Pathology Building, Queen Mary Hospital, Hong Kong SAR, PR China
- State Key Laboratory of Emerging Infectious Diseases, University of Hong Kong, University Pathology Building, Queen Mary Hospital, Hong Kong SAR, PR China
- Department of Microbiology, University of Hong Kong, University Pathology Building, Queen Mary Hospital, Hong Kong SAR, PR China
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Comparing the identification of Clostridium spp. by two Matrix-Assisted Laser Desorption Ionization-Time of Flight (MALDI-TOF) mass spectrometry platforms to 16S rRNA PCR sequencing as a reference standard: A detailed analysis of age of culture and sample preparation. Anaerobe 2014; 30:85-9. [DOI: 10.1016/j.anaerobe.2014.09.007] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2014] [Revised: 07/31/2014] [Accepted: 09/07/2014] [Indexed: 11/30/2022]
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Teng JLL, Ho TCC, Yeung RSY, Wong AYP, Wang H, Chen C, Fung KSC, Lau SKP, Woo PCY. Evaluation of 16SpathDB 2.0, an automated 16S rRNA gene sequence database, using 689 complete bacterial genomes. Diagn Microbiol Infect Dis 2013; 78:105-15. [PMID: 24295571 DOI: 10.1016/j.diagmicrobio.2013.10.019] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2013] [Revised: 10/21/2013] [Accepted: 10/27/2013] [Indexed: 02/04/2023]
Abstract
Interpretation of 16S rRNA sequences is a difficult problem faced by clinical microbiologists and technicians. In this study, we evaluated the updated 16SpathDB 2.0 database, using 689 16S rRNA sequences from 689 complete genomes of medically important bacteria. Among these 689 16S rRNA sequences, none was wrongly identified, with 35.8% reported as a single bacterial species having >98% identity with the query sequence (category 1), 63.9% reported as more than 1 bacterial species having >98% identity with the query sequence (category 2), 0.3% reported to the genus level (category 3), and none reported as no match (category 4). For the 16S rRNA sequences of non-duplicated bacterial species reported as category 1 or 2, the percentage of bacterial species reported as category 1 was significantly higher for anaerobic Gram-positive/Gram-negative bacteria than aerobic/facultative anaerobic Gram-positive/Gram-negative bacteria. 16SpathDB 2.0 is a user-friendly and accurate database for 16S rRNA sequence interpretation in clinical laboratories.
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Affiliation(s)
- Jade L L Teng
- Department of Microbiology, The University of Hong Kong, Hong Kong, China; Research Centre of Infection and Immunology, The University of Hong Kong, Hong Kong, China
| | - Tom C C Ho
- Department of Microbiology, The University of Hong Kong, Hong Kong, China
| | - Ronald S Y Yeung
- Department of Microbiology, The University of Hong Kong, Hong Kong, China; Department of Pathology, United Christian Hospital, Hong Kong, China
| | - Annette Y P Wong
- Department of Microbiology, The University of Hong Kong, Hong Kong, China
| | - Haiyin Wang
- National Institute for Communicable Disease Control and Prevention, Center for Disease Control and Prevention/State Key Laboratory for Infectious Disease Prevention and Control, Beijing, China
| | - Chen Chen
- National Institute for Communicable Disease Control and Prevention, Center for Disease Control and Prevention/State Key Laboratory for Infectious Disease Prevention and Control, Beijing, China
| | - Kitty S C Fung
- Department of Pathology, United Christian Hospital, Hong Kong, China
| | - Susanna K P Lau
- Department of Microbiology, The University of Hong Kong, Hong Kong, China; Research Centre of Infection and Immunology, The University of Hong Kong, Hong Kong, China; State Key Laboratory of Emerging Infectious Diseases, Hong Kong, China; Carol Yu Centre for Infection, The University of Hong Kong, Hong Kong, China.
| | - Patrick C Y Woo
- Department of Microbiology, The University of Hong Kong, Hong Kong, China; Research Centre of Infection and Immunology, The University of Hong Kong, Hong Kong, China; State Key Laboratory of Emerging Infectious Diseases, Hong Kong, China; Carol Yu Centre for Infection, The University of Hong Kong, Hong Kong, China.
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13
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Lau SKP, Tang BSF, Teng JLL, Chan TM, Curreem SOT, Fan RYY, Ng RHY, Chan JFW, Yuen KY, Woo PCY. Matrix-assisted laser desorption ionisation time-of-flight mass spectrometry for identification of clinically significant bacteria that are difficult to identify in clinical laboratories. J Clin Pathol 2013; 67:361-6. [PMID: 24143023 DOI: 10.1136/jclinpath-2013-201818] [Citation(s) in RCA: 36] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
AIMS Although the revolutionary matrix-assisted laser desorption ionisation time-of-flight mass spectrometry (MALDI-TOF MS) has been evaluated for identification of various groups of bacteria, its application in bacteria that are 'difficult-to-identify' by phenotypic tests has been less well studied. We aim to evaluate the usefulness of MALDI-TOF MS for identification of 'difficult-to-identify' bacterial isolates. METHODS We evaluated the performance of the Bruker MALDI-TOF MS system for a collection of 67 diverse clinically important bacterial isolates that were less commonly encountered, possessed ambiguous biochemical profiles or belonged to newly discovered species. The results were compared with 16S rRNA gene sequencing as a reference method for species identification. RESULTS Using 16S rRNA gene sequencing as the reference method, 30 (45%) isolates were identified correctly to species level (score ≥2.0), 20 (30%) were only identified to genus level (score ≥1.7), four (6%) were misidentified (incorrect species with score ≥2.0 or incorrect genus with score ≥1.7) and 13 (19%) showed 'no identification' (score <1.7). Aerobic Gram-positive bacteria showed the highest percentage of correct species identification, followed by aerobic Gram-negative, anaerobic Gram-positive and anaerobic Gram-negative bacteria. Sixteen isolates identified to genus level actually showed the correct species but with scores below the threshold for species identification. Most isolates which showed 'no identification' were due to the absence of the corresponding species in the Bruker database. CONCLUSIONS Expansion of commercial databases to include reference spectra of less commonly encountered and newly discovered species and to increase available spectra for each species is required to improve the accuracy of MALDI-TOF MS for identifying 'difficult-to-identify' bacteria.
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Affiliation(s)
- Susanna K P Lau
- State Key Laboratory of Emerging Infectious Diseases, The University of Hong Kong, , Hong Kong, China
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Romance of the three domains: how cladistics transformed the classification of cellular organisms. Protein Cell 2013; 4:664-76. [PMID: 23873078 PMCID: PMC4875529 DOI: 10.1007/s13238-013-3050-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2013] [Accepted: 07/01/2013] [Indexed: 11/23/2022] Open
Abstract
Cladistics is a biological philosophy that uses genealogical relationship among species and an inferred sequence of divergence as the basis of classification. This review critically surveys the chronological development of biological classification from Aristotle through our postgenomic era with a central focus on cladistics. In 1957, Julian Huxley coined cladogenesis to denote splitting from subspeciation. In 1960, the English translation of Willi Hennig’s 1950 work, Systematic Phylogenetics, was published, which received strong opposition from pheneticists, such as numerical taxonomists Peter Sneath and Robert Sokal, and evolutionary taxonomist, Ernst Mayr, and sparked acrimonious debates in 1960–1980. In 1977–1990, Carl Woese pioneered in using small subunit rRNA gene sequences to delimitate the three domains of cellular life and established major prokaryotic phyla. Cladistics has since dominated taxonomy. Despite being compatible with modern microbiological observations, i.e. organisms with unusual phenotypes, restricted expression of characteristics and occasionally being uncultivable, increasing recognition of pervasiveness and abundance of horizontal gene transfer has challenged relevance and validity of cladistics. The mosaic nature of eukaryotic and prokaryotic genomes was also gradually discovered. In the mid-2000s, high-throughput and whole-genome sequencing became routine and complex geneologies of organisms have led to the proposal of a reticulated web of life. While genomics only indirectly leads to understanding of functional adaptations to ecological niches, computational modeling of entire organisms is underway and the gap between genomics and phenetics may soon be bridged. Controversies are not expected to settle as taxonomic classifications shall remain subjective to serve the human scientist, not the classified.
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Jeon Y, Kim TS, Kim HB, Park KU, Song J, Kim EC. First Korean case of Robinsoniella peoriensis bacteremia in a patient with aspiration pneumonia. Ann Lab Med 2012; 32:370-4. [PMID: 22950075 PMCID: PMC3427827 DOI: 10.3343/alm.2012.32.5.370] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2012] [Revised: 04/28/2012] [Accepted: 07/17/2012] [Indexed: 11/19/2022] Open
Abstract
Robinsoniella peoriensis has recently been identified as a Gram-positive, spore-forming, anaerobic rod originally recovered from swine manure storage pits. To date, 6 cases of R. peoriensis infection have been reported, including 2 cases of bacteremia, 1 of abdominal fluid collection, and 3 of wound infection. In the present study, we report a 76-yr-old man with R. peoriensis bacteremia who developed aspiration pneumonia. Gram staining of a purified colony revealed Gram-positive, rod-shaped bacteria. Biochemical identification using API 20 A (bioMérieux, France) indicated presence of Clostridium spp. We performed both 500-bp and full-gene sequencing of 16S rRNA of the isolate. The sequence was analyzed with MicroSeq ID 16S rRNA Library v2.0 (Applied Biosystems, USA), GenBank Basic Local Alignment Search Tool (BLAST) (http://www.ncbi.nlm.nih.gov/genbank), and EzTaxon database v2.1 (http://www.eztaxon.org). The 500-bp 16S rRNA sequence of the blood culture isolate showed 99.16-99.79% similarity with R. peoriensis and the full-gene 16S rRNA sequence showed 98.87-99.50% similarity with R. peoriensis. The organism was confirmed as R. peoriensis by using all of the mentioned databases except for MicroSeq, which did not include the RNA sequence of this bacterium. This case suggests that identification of R. peoriensis might be challenging in clinical laboratories with no access to molecular methods, as certain commercial identification systems may not identify, or may misidentify, this organism. To the best of our knowledge, this is the first report of the isolation of R. peoriensis in Korea.
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Affiliation(s)
- Yongbum Jeon
- Department of Laboratory Medicine, Seoul National University Hospital, Seoul, Korea
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16
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Nagy E, Becker S, Kostrzewa M, Barta N, Urbán E. The value of MALDI-TOF MS for the identification of clinically relevant anaerobic bacteria in routine laboratories. J Med Microbiol 2012; 61:1393-1400. [PMID: 22700545 DOI: 10.1099/jmm.0.043927-0] [Citation(s) in RCA: 90] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
Between 2010 and 2011, 283 clinically relevant non-duplicate anaerobic isolates were analysed by MALDI-TOF MS and the results were compared with conventional identification. Immediately after isolation, an ethanol precipitation was carried out on isolated colonies and the stabilized samples were anonymized and sent to the laboratory of Bruker Daltonik, Bremen, Germany, where the identification was done using the standard protocol for micro-organism identification on a Microflex LT mass spectrometer equipped with the MALDI Biotyper 3.0 software. Of 283 isolates, 218 (77 %) were identified at species level [log(score) ≥2.0], 31 isolates (10.95 %) were identified at genus level [log(score) 1.7-2.0] and 34 (12 %) gave non-reliable identification [log(score) <1.7]. Out of the 31 isolates with log(score) 1.7-2.0, in the case of 24 isolates the species name given by the MALDI Biotyper was accepted if it was the same as for the classical identification. Of 218 isolates identified at species level, 40 results were discordant with phenotypic identification, and of the 31 isolates identified at genus level according to the manufacturer's score cut-off, four gave results discordant with the phenotypic method. For the 44 discordant results, 16S rRNA gene sequencing confirmed MALDI-TOF MS identification in 41 cases, leaving three isolates (0.7 %) that had been misidentified by MALDI-TOF MS.
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Affiliation(s)
- Elisabeth Nagy
- National Anaerobic Reference Laboratory, Institute of Clinical Microbiology, Faculty of Medicine, University of Szeged, Szeged, Hungary
| | | | | | - Noémi Barta
- National Anaerobic Reference Laboratory, Institute of Clinical Microbiology, Faculty of Medicine, University of Szeged, Szeged, Hungary
| | - Edit Urbán
- National Anaerobic Reference Laboratory, Institute of Clinical Microbiology, Faculty of Medicine, University of Szeged, Szeged, Hungary
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17
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Abstract
Catabacter hongkongensis is a recently described catalase-positive, motile, anaerobic, nonsporulating, Gram-positive coccobacillus that was first isolated from blood cultures of four patients from Hong Kong and Canada. Although DNA sequences representing C. hongkongensis have been detected in environmental sources, only one additional case of human infection has been reported, in France. We describe five cases of C. hongkongensis bacteremia in Hong Kong, two presenting with sepsis, one with acute gangrenous perforated appendicitis, one with acute calculous cholecystitis, and one with infected carcinoma of colon. Three patients, with gastrointestinal malignancy, died during admission. All five isolates were catalase positive, motile, and negative for indole production and nitrate reduction and produced acid from arabinose, glucose, mannose, and xylose. They were unambiguously identified as C. hongkongensis by 16S rRNA gene analysis. Of the total of 10 reported cases of C. hongkongensis bacteremia in the literature and this study, most patients had underlying diseases, while two cases occurred in healthy young individuals with acute appendicitis. Six patients presented with infections associated with either the gastrointestinal or biliary tract, supporting the gastrointestinal tract as the source of bacteremia. C. hongkongensis bacteremia is associated with a poor prognosis, with a high mortality of 50% among reported cases, especially in patients with advanced malignancies. All reported isolates were susceptible to metronidazole. Identification of more C. hongkongensis isolates by 16S rRNA gene sequencing will help better define its epidemiology and pathogenesis.
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18
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Citron DM. Pre-molecular identification – Ignorance was Bliss? Anaerobe 2012; 18:189-91. [DOI: 10.1016/j.anaerobe.2011.11.003] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2011] [Revised: 11/10/2011] [Accepted: 11/12/2011] [Indexed: 11/25/2022]
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19
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Almiñana C, Fazeli A. Exploring the application of high-throughput genomics technologies in the field of maternal-embryo communication. Theriogenology 2012; 77:717-37. [PMID: 22217573 DOI: 10.1016/j.theriogenology.2011.11.009] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2011] [Revised: 08/30/2011] [Accepted: 09/02/2011] [Indexed: 01/23/2023]
Abstract
Deciphering the complex molecular dialogue between the maternal tract and embryo is crucial to increasing our understanding of pregnancy failure, infertility problems and in the modulation of embryo development, which has consequences through adulthood. High-throughput genomic technologies have been applied to look for a holistic view of the molecular interactions occurring during this dialogue. Among these technologies, microarrays have been widely used, being one of the most popular tools in maternal-embryo communication. Today, next generation sequencing technologies are dwarfing the capabilities of microarrays. The application of these new technologies has broadened to almost all areas of genomics research, because of their massive sequencing capacity. We review the current status of high-throughput genomic technologies and their application to maternal-embryo communication research. We also survey next generation technologies and their huge potential in many research areas. Given the diversity of unanswered questions in the field of maternal-embryo communication and the wide range of possibilities that these technologies offer, here we discuss future perspectives on the use of these technologies to enhance maternal-embryo research.
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Affiliation(s)
- Carmen Almiñana
- Academic Unit of Reproductive and Development Medicine, University of Sheffield, Sheffield, UK.
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20
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21
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Teng JLL, Yeung MY, Yue G, Au-Yeung RKH, Yeung EYH, Fung AMY, Tse H, Yuen KY, Lau SKP, Woo PCY. In silico analysis of 16S rRNA gene sequencing based methods for identification of medically important aerobic Gram-negative bacteria. J Med Microbiol 2011; 60:1281-1286. [PMID: 21498652 DOI: 10.1099/jmm.0.027805-0] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
This study provides guidelines on the usefulness of full and 527 bp 16S rRNA gene sequencing and Microseq databases for identifying medically important aerobic Gram-negative bacteria. Overall, full and 527 bp 16S rRNA gene sequencing can identify 26.1 % and 32.6 %, respectively, of medically important aerobic Gram-negative bacteria confidently to the species level, whereas the full-MicroSeq and 500-MicroSeq databases can identify 15.2 % and 26.1 %, respectively, of medically important aerobic Gram-negative bacteria confidently to the species level. Among the major groups of aerobic Gram-negative bacteria, the methods and databases are least useful for identification of Aeromonas, Bordetella and Bartonella species. None of the Aeromonas species can be confidently or doubtfully identified, whereas only 0 % and 0-33.3 % of Bordetella species and 0-10 % and 0-10 % of Bartonella species can be confidently and doubtfully identified, respectively. On the other hand, these methods and databases are most useful for identification of members of the families Pasteurellaceae and Legionellaceae and Campylobacter species: 29.6-59.3 % and 7.4-18.5 % of members of Pasteurellaceae, 36-52 % and 12-24 % of members of Legionellaceae, and 26.7-60 % and 0-13.3 % of Campylobacter species can be confidently and doubtfully identified, respectively. Thirty-nine medically important aerobic Gram-negative bacteria that should be confidently identified by full 16S rRNA gene sequencing are not included in the full-MicroSeq database. Twenty-three medically important aerobic Gram-negative bacteria that should be confidently identified by 527 bp 16S rRNA gene sequencing are not included in the 500-MicroSeq database. Compared with results of our previous studies on anaerobic and Gram-positive bacteria, full and 527 bp 16S rRNA gene sequencing are able to confidently identify significantly more anaerobic Gram-positive and Gram-negative bacteria than aerobic Gram-positive and Gram-negative bacteria.
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Affiliation(s)
- Jade L L Teng
- Department of Microbiology, The University of Hong Kong, Hong Kong SAR
| | - Ming-Yiu Yeung
- Department of Microbiology, The University of Hong Kong, Hong Kong SAR
| | - Geoffrey Yue
- Department of Microbiology, The University of Hong Kong, Hong Kong SAR
| | - Rex K H Au-Yeung
- Department of Microbiology, The University of Hong Kong, Hong Kong SAR
| | - Eugene Y H Yeung
- Department of Microbiology, The University of Hong Kong, Hong Kong SAR
| | - Ami M Y Fung
- Department of Microbiology, The University of Hong Kong, Hong Kong SAR
| | - Herman Tse
- Department of Microbiology, The University of Hong Kong, Hong Kong SAR.,State Key Laboratory of Emerging Infectious Diseases, The University of Hong Kong, Hong Kong SAR.,Research Centre of Infection and Immunology, The University of Hong Kong, Hong Kong SAR.,Carol Yu Centre for Infection, The University of Hong Kong, Hong Kong SAR
| | - Kwok-Yung Yuen
- Department of Microbiology, The University of Hong Kong, Hong Kong SAR.,State Key Laboratory of Emerging Infectious Diseases, The University of Hong Kong, Hong Kong SAR.,Carol Yu Centre for Infection, The University of Hong Kong, Hong Kong SAR.,Research Centre of Infection and Immunology, The University of Hong Kong, Hong Kong SAR
| | - Susanna K P Lau
- State Key Laboratory of Emerging Infectious Diseases, The University of Hong Kong, Hong Kong SAR.,Department of Microbiology, The University of Hong Kong, Hong Kong SAR.,Carol Yu Centre for Infection, The University of Hong Kong, Hong Kong SAR.,Research Centre of Infection and Immunology, The University of Hong Kong, Hong Kong SAR
| | - Patrick C Y Woo
- Carol Yu Centre for Infection, The University of Hong Kong, Hong Kong SAR.,State Key Laboratory of Emerging Infectious Diseases, The University of Hong Kong, Hong Kong SAR.,Research Centre of Infection and Immunology, The University of Hong Kong, Hong Kong SAR.,Department of Microbiology, The University of Hong Kong, Hong Kong SAR
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22
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Automated identification of medically important bacteria by 16S rRNA gene sequencing using a novel comprehensive database, 16SpathDB. J Clin Microbiol 2011; 49:1799-809. [PMID: 21389154 DOI: 10.1128/jcm.02350-10] [Citation(s) in RCA: 33] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022] Open
Abstract
Despite the increasing use of 16S rRNA gene sequencing, interpretation of 16S rRNA gene sequence results is one of the most difficult problems faced by clinical microbiologists and technicians. To overcome the problems we encountered in the existing databases during 16S rRNA gene sequence interpretation, we built a comprehensive database, 16SpathDB (http://147.8.74.24/16SpathDB) based on the 16S rRNA gene sequences of all medically important bacteria listed in the Manual of Clinical Microbiology and evaluated its use for automated identification of these bacteria. Among 91 nonduplicated bacterial isolates collected in our clinical microbiology laboratory, 71 (78%) were reported by 16SpathDB as a single bacterial species having >98.0% nucleotide identity with the query sequence, 19 (20.9%) were reported as more than one bacterial species having >98.0% nucleotide identity with the query sequence, and 1 (1.1%) was reported as no match. For the 71 bacterial isolates reported as a single bacterial species, all results were identical to their true identities as determined by a polyphasic approach. For the 19 bacterial isolates reported as more than one bacterial species, all results contained their true identities as determined by a polyphasic approach and all of them had their true identities as the "best match in 16SpathDB." For the isolate (Gordonibacter pamelaeae) reported as no match, the bacterium has never been reported to be associated with human disease and was not included in the Manual of Clinical Microbiology. 16SpathDB is an automated, user-friendly, efficient, accurate, and regularly updated database for 16S rRNA gene sequence interpretation in clinical microbiology laboratories.
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23
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Justesen US, Skov MN, Knudsen E, Holt HM, Søgaard P, Justesen T. 16S rRNA gene sequencing in routine identification of anaerobic bacteria isolated from blood cultures. J Clin Microbiol 2010; 48:946-8. [PMID: 20071555 PMCID: PMC2832449 DOI: 10.1128/jcm.02075-09] [Citation(s) in RCA: 47] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2009] [Revised: 12/25/2009] [Accepted: 01/02/2010] [Indexed: 12/15/2022] Open
Abstract
A comparison between conventional identification and 16S rRNA gene sequencing of anaerobic bacteria isolated from blood cultures in a routine setting was performed (n = 127). With sequencing, 89% were identified to the species level, versus 52% with conventional identification. The times for identification were 1.5 days and 2.8 days, respectively.
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MESH Headings
- Bacteria, Anaerobic/classification
- Bacteria, Anaerobic/genetics
- Bacteria, Anaerobic/isolation & purification
- Bacterial Infections/diagnosis
- Bacteriological Techniques/methods
- Blood/microbiology
- DNA, Bacterial/chemistry
- DNA, Bacterial/genetics
- DNA, Ribosomal/chemistry
- DNA, Ribosomal/genetics
- Humans
- RNA, Ribosomal, 16S/genetics
- Sensitivity and Specificity
- Sequence Analysis, DNA/methods
- Time Factors
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Affiliation(s)
- Ulrik Stenz Justesen
- Department of Clinical Microbiology, Odense University Hospital, Odense, Denmark.
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24
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Abstract
We report the first case of Gordonibacter pamelaeae bacteremia, identified by phenotypic tests and 16S rRNA sequencing in a patient with disseminated rectosigmoid carcinoma and responsive to amoxicillin-clavulanate. The bacterium was a nonsporulating, anaerobic, gram-positive, nonmotile, coccobacillus that was catalase, arginine dihydrolase, and arginine acrylamidase positive. The gastrointestinal tract is probably its reservoir.
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25
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Chan JFW, Lau SKP, Woo PCY, Fan RYY, Ip JJK, Chan CF, Luk JKH, Yuen KY. Lactobacillus rhamnosus hepatic abscess associated with Mirizzi syndrome: a case report and review of the literature. Diagn Microbiol Infect Dis 2009; 66:94-7. [PMID: 19766429 DOI: 10.1016/j.diagmicrobio.2009.08.009] [Citation(s) in RCA: 14] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2009] [Accepted: 08/16/2009] [Indexed: 01/23/2023]
Abstract
The clinical significance of Lactobacillus spp. isolated from clinical specimens has often been overlooked due to its low virulence. We report the first case of life-threatening bacteremic liver abscess due to Lactobacillus rhamnosus associated with Mirizzi syndrome in a 74-year-old Chinese man. Literature on sporadic reports of Lactobacillus liver abscess is reviewed.
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Affiliation(s)
- Jasper F W Chan
- Department of Microbiology, Queen Mary Hospital, The University of Hong Kong, Hong Kong Special Administrative Region, China
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26
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Woo PCY, Teng JLL, Wu JKL, Leung FPS, Tse H, Fung AMY, Lau SKP, Yuen KY. Guidelines for interpretation of 16S rRNA gene sequence-based results for identification of medically important aerobic Gram-positive bacteria. J Med Microbiol 2009; 58:1030-1036. [DOI: 10.1099/jmm.0.008615-0] [Citation(s) in RCA: 41] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023] Open
Abstract
This study is believed to be the first to provide guidelines for facilitating interpretation of results based on full and 527 bp 16S rRNA gene sequencing and MicroSeq databases used for identifying medically important aerobic Gram-positive bacteria. Overall, full and 527 bp 16S rRNA gene sequencing can identify 24 and 40 % of medically important Gram-positive cocci (GPC), and 21 and 34 % of medically important Gram-positive rods (GPR) confidently to the species level, whereas the full-MicroSeq and 500-MicroSeq databases can identify 15 and 34 % of medically important GPC and 14 and 25 % of medically important GPR confidently to the species level. Among staphylococci, streptococci, enterococci, mycobacteria, corynebacteria, nocardia and members of Bacillus and related taxa (Paenibacillus, Brevibacillus, Geobacillus and Virgibacillus), the methods and databases are least useful for identification of staphylococci and nocardia. Only 0–2 and 2–13 % of staphylococci, and 0 and 0–10 % of nocardia, can be confidently and doubtfully identified, respectively. However, these methods and databases are most useful for identification of Bacillus and related taxa, with 36–56 and 11–14 % of Bacillus and related taxa confidently and doubtfully identified, respectively. A total of 15 medically important GPC and 18 medically important GPR that should be confidently identified by full 16S rRNA gene sequencing are not included in the full-MicroSeq database. A total of 9 medically important GPC and 21 medically important GPR that should be confidently identified by 527 bp 16S rRNA gene sequencing are not included in the 500-MicroSeq database. 16S rRNA gene sequence results of Gram-positive bacteria should be interpreted with basic phenotypic tests results. Additional biochemical tests or sequencing of additional gene loci are often required for definitive identification. To improve the usefulness of the MicroSeq databases, bacterial species that can be confidently identified by 16S rRNA gene sequencing but are not found in the MicroSeq databases should be included.
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Affiliation(s)
- Patrick C. Y. Woo
- Department of Microbiology, University of Hong Kong, Hong Kong SAR
- Research Centre of Infection and Immunology, University of Hong Kong, Hong Kong SAR
- State Key Laboratory of Emerging Infectious Diseases, University of Hong Kong, Hong Kong SAR
| | - Jade L. L. Teng
- Department of Microbiology, University of Hong Kong, Hong Kong SAR
| | - Jeff K. L. Wu
- Department of Microbiology, University of Hong Kong, Hong Kong SAR
| | - Fion P. S. Leung
- Department of Microbiology, University of Hong Kong, Hong Kong SAR
| | - Herman Tse
- Department of Microbiology, University of Hong Kong, Hong Kong SAR
- Research Centre of Infection and Immunology, University of Hong Kong, Hong Kong SAR
- State Key Laboratory of Emerging Infectious Diseases, University of Hong Kong, Hong Kong SAR
| | - Ami M. Y. Fung
- Department of Microbiology, University of Hong Kong, Hong Kong SAR
| | - Susanna K. P. Lau
- Department of Microbiology, University of Hong Kong, Hong Kong SAR
- Research Centre of Infection and Immunology, University of Hong Kong, Hong Kong SAR
- State Key Laboratory of Emerging Infectious Diseases, University of Hong Kong, Hong Kong SAR
| | - Kwok-yung Yuen
- Department of Microbiology, University of Hong Kong, Hong Kong SAR
- Research Centre of Infection and Immunology, University of Hong Kong, Hong Kong SAR
- State Key Laboratory of Emerging Infectious Diseases, University of Hong Kong, Hong Kong SAR
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27
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Song SH, Park JS, Kwon HR, Kim SH, Kim HB, Chang HE, Park KU, Song J, Kim EC. Human bloodstream infection caused by Staphylococcus pettenkoferi. J Med Microbiol 2009; 58:270-272. [PMID: 19141749 DOI: 10.1099/jmm.0.004697-0] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
Staphylococcus pettenkoferi is a recently isolated human pathogen with only a few reported cases of infection. We report a case of bloodstream infection caused by S. pettenkoferi in a patient with pulmonary tuberculosis.
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Affiliation(s)
- Sang Hoon Song
- Department of Laboratory Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea.,Department of Laboratory Medicine, Seoul National University Bundang Hospital, Gyeonggi-do, Republic of Korea
| | - Jeong Su Park
- Department of Laboratory Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Hye Rin Kwon
- Department of Laboratory Medicine, Seoul National University Bundang Hospital, Gyeonggi-do, Republic of Korea
| | - Sung Han Kim
- Department of Internal Medicine, Seoul National University Bundang Hospital, Gyeonggi-do, Republic of Korea
| | - Hong Bin Kim
- Department of Internal Medicine, Seoul National University Bundang Hospital, Gyeonggi-do, Republic of Korea
| | - Ho Eun Chang
- Department of Laboratory Medicine, Seoul National University Bundang Hospital, Gyeonggi-do, Republic of Korea
| | - Kyoung Un Park
- Department of Laboratory Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea.,Department of Laboratory Medicine, Seoul National University Bundang Hospital, Gyeonggi-do, Republic of Korea
| | - Junghan Song
- Department of Laboratory Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea.,Department of Laboratory Medicine, Seoul National University Bundang Hospital, Gyeonggi-do, Republic of Korea
| | - Eui Chong Kim
- Department of Laboratory Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
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28
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Utility of pyrosequencing in identifying bacteria directly from positive blood culture bottles. J Clin Microbiol 2008; 47:368-72. [PMID: 19091813 DOI: 10.1128/jcm.01991-08] [Citation(s) in RCA: 63] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2023] Open
Abstract
Growth in liquid media is the gold standard for detecting microorganisms associated with bloodstream infections. The Gram stain provides the first clue as to the etiology of infection, with phenotypic identification completed 1 or 2 days later. Providing more detailed information than the Gram stain can impart, and in less time than subculturing, would allow the use of more directed empirical therapy and, thus, reduce the patient's exposure to unnecessary or ineffective antibiotics sooner. The study had two objectives, as follows: (i) to identify new targets to improve our ability to differentiate among certain enteric gram-negative rods or among certain Streptococcus species and (ii) to determine whether real-time PCR and pyrosequencing could as accurately identify organisms directly from positive blood culture bottles as culture-based methods. Two hundred and fifty-five consecutive positive blood culture bottles were included. The results showed a high level of agreement between the two approaches; of the 270 bacteria isolated from the 255 blood culture bottles, results for pyrosequencing and culture-based identifications were concordant for 264/270 (97.8%) bacteria with three failed sequences, and three sequences without match. Additionally, compared to the universal 16S rRNA gene target, the new 23S rRNA gene targets greatly improved our ability to differentiate among certain enteric gram-negative rods or among certain Streptococcus species. In conclusion, combining real-time PCR and pyrosequencing provided valuable information beyond that derived from the initial Gram stain and in less time than phenotypic culture-based identification. This strategy, if implemented, could result in a more directed empirical therapy in patients and would promote responsible antibiotic stewardship.
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29
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Woo P, Lau S, Teng J, Tse H, Yuen KY. Then and now: use of 16S rDNA gene sequencing for bacterial identification and discovery of novel bacteria in clinical microbiology laboratories. Clin Microbiol Infect 2008; 14:908-34. [DOI: 10.1111/j.1469-0691.2008.02070.x] [Citation(s) in RCA: 524] [Impact Index Per Article: 32.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/29/2023]
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30
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Multicenter evaluation of the Vitek 2 anaerobe and Corynebacterium identification card. J Clin Microbiol 2008; 46:2646-51. [PMID: 18562580 DOI: 10.1128/jcm.00450-08] [Citation(s) in RCA: 40] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
Abstract
The new anaerobe and Corynebacterium (ANC) identification card for Vitek 2 was compared with a 16S rRNA gene sequencing (16S) reference method for accuracy in the identification of corynebacteria and anaerobic species. Testing was performed on a Vitek 2 XL system with modified software at three clinical trial laboratories. Reproducibility was determined with nine ATCC quality control strains that were tested 20 times over a minimum of 10 days at all three sites. A challenge set of 50 well-characterized strains and 365 recent fresh and frozen clinical isolates were included in the study. The expected positive and negative biochemical well reactions were also evaluated for substrate reproducibility. All strains were tested with the ANC card, and clinical isolates were saved for 16S rRNA gene sequencing. All reproducibility tests yielded expected results within a 95% confidence interval, except for that with Corynebacterium striatum ATCC 6940, for which identification failed at one trial site. For the challenge isolates, there was 98% correct identification, 5% low discrimination, and 2% incorrect identification, and 0% were unidentified. For clinical strains, there was 95.1% correct identification, 4.9% low discrimination, and 4.6% incorrect identification, and 0.3% were unidentified. The 4.6% (17/365) of clinical isolates that were incorrectly identified consisted of 14 isolates that were correct at the genus level and three that were incorrect at the genus level. The new ANC card met all performance criteria within a 95% confidence interval compared to the identification performance by 16S rRNA gene sequencing.
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31
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Identification of clinical coryneform bacterial isolates: comparison of biochemical methods and sequence analysis of 16S rRNA and rpoB genes. J Clin Microbiol 2007; 46:921-7. [PMID: 18160450 DOI: 10.1128/jcm.01849-07] [Citation(s) in RCA: 33] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
We compared the relative levels of effectiveness of three commercial identification kits and three nucleic acid amplification tests for the identification of coryneform bacteria by testing 50 diverse isolates, including 12 well-characterized control strains and 38 organisms obtained from pediatric oncology patients at our institution. Between 33.3 and 75.0% of control strains were correctly identified to the species level by phenotypic systems or nucleic acid amplification assays. The most sensitive tests were the API Coryne system and amplification and sequencing of the 16S rRNA gene using primers optimized for coryneform bacteria, which correctly identified 9 of 12 control isolates to the species level, and all strains with a high-confidence call were correctly identified. Organisms not correctly identified were species not included in the test kit databases or not producing a pattern of reactions included in kit databases or which could not be differentiated among several genospecies based on reaction patterns. Nucleic acid amplification assays had limited abilities to identify some bacteria to the species level, and comparison of sequence homologies was complicated by the inclusion of allele sequences obtained from uncultivated and uncharacterized strains in databases. The utility of rpoB genotyping was limited by the small number of representative gene sequences that are currently available for comparison. The correlation between identifications produced by different classification systems was poor, particularly for clinical isolates.
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32
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Janda JM, Abbott SL. 16S rRNA gene sequencing for bacterial identification in the diagnostic laboratory: pluses, perils, and pitfalls. J Clin Microbiol 2007; 45:2761-4. [PMID: 17626177 PMCID: PMC2045242 DOI: 10.1128/jcm.01228-07] [Citation(s) in RCA: 1021] [Impact Index Per Article: 60.1] [Reference Citation Analysis] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Affiliation(s)
- J Michael Janda
- Microbial Diseases Laboratory, Division of Communicable Disease Control, California Department of Public Health, Richmond, California 94804, USA.
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33
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Woo PCY, Lau SKP, Lin AWC, Curreem SOT, Fung AMY, Yuen KY. Surgical site abscess caused by Lactobacillus fermentum identified by 16S ribosomal RNA gene sequencing. Diagn Microbiol Infect Dis 2007; 58:251-4. [PMID: 17368805 DOI: 10.1016/j.diagmicrobio.2006.12.005] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2006] [Revised: 12/01/2006] [Accepted: 12/06/2006] [Indexed: 11/19/2022]
Abstract
We report the first case of surgical site abscess caused by Lactobacillus fermentum from a 53-year-old woman with squamous cell carcinoma of the esophagus after transthoracic esophagectomy and neoadjuvant chemoirradiation. 16S rRNA gene sequencing is a useful tool to better characterize the epidemiology and clinical significance of L. fermentum.
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Affiliation(s)
- Patrick C Y Woo
- Department of Microbiology, The University of Hong Kong, University Pathology Building, Queen Mary Hospital, Hong Kong
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Lau SKP, Teng JLL, Leung KW, Li NKH, Ng KHL, Chau KY, Que TL, Woo PCY, Yuen KY. Bacteremia caused by Solobacterium moorei in a patient with acute proctitis and carcinoma of the cervix. J Clin Microbiol 2006; 44:3031-4. [PMID: 16891535 PMCID: PMC1594659 DOI: 10.1128/jcm.00555-06] [Citation(s) in RCA: 29] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
We describe a case of Solobacterium moorei bacteremia in a 43-year-old woman presenting with acute proctitis complicating radiotherapy for cervical carcinoma. Phenotypic tests failed to identify the bacterium, which was subsequently identified by 16S rRNA gene sequencing. 16S rRNA gene sequencing could help better define the pathogenicity of S. moorei.
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Affiliation(s)
- Susanna K P Lau
- Department of Microbiology, State Key Laboratory of Emerging Infectious Diseases, Tuen Mun Hospital, Hong Kong
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Woo PCY, Chung LMW, Teng JLL, Tse H, Pang SSY, Lau VYT, Wong VWK, Kam KL, Lau SKP, Yuen KY. In silico analysis of 16S ribosomal RNA gene sequencing-based methods for identification of medically important anaerobic bacteria. J Clin Pathol 2006; 60:576-9. [PMID: 17046845 PMCID: PMC1994535 DOI: 10.1136/jcp.2006.038653] [Citation(s) in RCA: 16] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
This study is the first study that provides useful guidelines to clinical microbiologists and technicians on the usefulness of full 16S rRNA sequencing, 5'-end 527-bp 16S rRNA sequencing and the existing MicroSeq full and 500 16S rDNA bacterial identification system (MicroSeq, Perkin-Elmer Applied Biosystems Division, Foster City, California, USA) databases for the identification of all existing medically important anaerobic bacteria. Full and 527-bp 16S rRNA sequencing are able to identify 52-63% of 130 Gram-positive anaerobic rods, 72-73% of 86 Gram-negative anaerobic rods and 78% of 23 anaerobic cocci. The existing MicroSeq databases are able to identify only 19-25% of 130 Gram-positive anaerobic rods, 38% of 86 Gram-negative anaerobic rods and 39% of 23 anaerobic cocci. These represent only 45-46% of those that should be confidently identified by full and 527-bp 16S rRNA sequencing. To improve the usefulness of MicroSeq, bacterial species that should be confidently identified by full and/or 527-bp 16S rRNA sequencing but not included in the existing MicroSeq databases should be included.
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Affiliation(s)
- Patrick C Y Woo
- Department of Microbiology, The University of Hong Kong, Hong Kong
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