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Gut Bacterial Microbiota and its Resistome Rapidly Recover to Basal State Levels after Short-term Amoxicillin-Clavulanic Acid Treatment in Healthy Adults. Sci Rep 2018; 8:11192. [PMID: 30046129 PMCID: PMC6060159 DOI: 10.1038/s41598-018-29229-5] [Citation(s) in RCA: 57] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2017] [Accepted: 06/29/2018] [Indexed: 12/23/2022] Open
Abstract
Clinical effects of antimicrobials and probiotics in combination have been reported, however, little is known about their impact on gut microbiota and its resistome. In this study 16S rRNA gene amplicon, shotgun metagenomics sequencing and antibiotic resistance (ABR) microarray were used on fecal samples of 70 healthy participants, taken at four time points in probiotic (Lactobacillus rhamnosus R0011 and Lactobacillus helveticus R0052) and placebo groups to profile the gut bacterial microbiota and its resistome following administration of amoxicillin-clavulanic acid for one week. Significant shifts in microbiota family composition caused by the antimicrobial in both groups that included decreases in the proportion of Lachnospiraceae, Coriobacteriaceae and unidentified Clostridiales; and notable increases for the proportion of Enterobacteriaceae, Bacteroidaceae and Porphyromonadaceae compared to baseline levels. Resistome showed a corresponding enrichment of ABR genes compared to baseline from such classes as aminoglycosides and beta-lactams that were linked, by in silico inference, to the enrichment of the family Enterobacteriaceae. Despite perturbations caused by short-term antibiotic treatment, both gut microbiota and resistome showed prompt recovery to baseline levels one week after cessation of the antimicrobial. This rapid recovery may be explained by the hypothesis of community resilience.
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Abstract
BACKGROUND Differentiating both typhoid (Salmonella Typhi) and paratyphoid (Salmonella Paratyphi A) infection from other causes of fever in endemic areas is a diagnostic challenge. Although commercial point-of-care rapid diagnostic tests (RDTs) for enteric fever are available as alternatives to the current reference standard test of blood or bone marrow culture, or to the widely used Widal Test, their diagnostic accuracy is unclear. If accurate, they could potentially replace blood culture as the World Health Organization (WHO)-recommended main diagnostic test for enteric fever. OBJECTIVES To assess the diagnostic accuracy of commercially available rapid diagnostic tests (RDTs) and prototypes for detecting Salmonella Typhi or Paratyphi A infection in symptomatic persons living in endemic areas. SEARCH METHODS We searched the Cochrane Infectious Diseases Group Specialized Register, MEDLINE, Embase, Science Citation Index, IndMED, African Index Medicus, LILACS, ClinicalTrials.gov, and the World Health Organization (WHO) International Clinical Trials Registry Platform (ICTRP) up to 4 March 2016. We manually searched WHO reports, and papers from international conferences on Salmonella infections. We also contacted test manufacturers to identify studies. SELECTION CRITERIA We included diagnostic accuracy studies of enteric fever RDTs in patients with fever or with symptoms suggestive of enteric fever living in endemic areas. We classified the reference standard used as either Grade 1 (result from a blood culture and a bone marrow culture) or Grade 2 (result from blood culture and blood polymerase chain reaction, or from blood culture alone). DATA COLLECTION AND ANALYSIS Two review authors independently extracted the test result data. We used a modified QUADAS-2 extraction form to assess methodological quality. We performed a meta-analysis when there were sufficient studies for the test and heterogeneity was reasonable. MAIN RESULTS Thirty-seven studies met the inclusion criteria and included a total of 5080 participants (range 50 to 1732). Enteric fever prevalence rates in the study populations ranged from 1% to 75% (median prevalence 24%, interquartile range (IQR) 11% to 46%). The included studies evaluated 16 different RDTs, and 16 studies compared two or more different RDTs. Only three studies used the Grade 1 reference standard, and only 11 studies recruited unselected febrile patients. Most included studies were from Asia, with five studies from sub-Saharan Africa. All of the RDTs were designed to detect S.Typhi infection only.Most studies evaluated three RDTs and their variants: TUBEX in 14 studies; Typhidot (Typhidot, Typhidot-M, and TyphiRapid-Tr02) in 22 studies; and the Test-It Typhoid immunochromatographic lateral flow assay, and its earlier prototypes (dipstick, latex agglutination) developed by the Royal Tropical Institute, Amsterdam (KIT) in nine studies. Meta-analyses showed an average sensitivity of 78% (95% confidence interval (CI) 71% to 85%) and specificity of 87% (95% CI 82% to 91%) for TUBEX; and an average sensitivity of 69% (95% CI 59% to 78%) and specificity of 90% (95% CI 78% to 93%) for all Test-It Typhoid and prototype tests (KIT). Across all forms of the Typhidot test, the average sensitivity was 84% (95% CI 73% to 91%) and specificity was 79% (95% CI 70% to 87%). When we based the analysis on the 13 studies of the Typhidot test that either reported indeterminate test results or where the test format means there are no indeterminate results, the average sensitivity was 78% (95% CI 65% to 87%) and specificity was 77% (95% CI 66% to 86%). We did not identify any difference in either sensitivity or specificity between TUBEX, Typhidot, and Test-it Typhoid tests when based on comparison to the 13 Typhidot studies where indeterminate results are either reported or not applicable. If TUBEX and Test-it Typhoid are compared to all Typhidot studies, the sensitivity of Typhidot was higher than Test-it Typhoid (15% (95% CI 2% to 28%), but other comparisons did not show a difference at the 95% level of CIs.In a hypothetical cohort of 1000 patients presenting with fever where 30% (300 patients) have enteric fever, on average Typhidot tests reporting indeterminate results or where tests do not produce indeterminate results will miss the diagnosis in 66 patients with enteric fever, TUBEX will miss 66, and Test-It Typhoid and prototype (KIT) tests will miss 93. In the 700 people without enteric fever, the number of people incorrectly diagnosed with enteric fever would be 161 with Typhidot tests, 91 with TUBEX, and 70 with Test-It Typhoid and prototype (KIT) tests. The CIs around these estimates were wide, with no difference in false positive results shown between tests.The quality of the data for each study was evaluated using a standardized checklist called QUADAS-2. Overall, the certainty of the evidence in the studies that evaluated enteric fever RDTs was low. AUTHORS' CONCLUSIONS In 37 studies that evaluated the diagnostic accuracy of RDTs for enteric fever, few studies were at a low risk of bias. The three main RDT tests and variants had moderate diagnostic accuracy. There was no evidence of a difference between the average sensitivity and specificity of the three main RDT tests. More robust evaluations of alternative RDTs for enteric fever are needed.
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Affiliation(s)
- Lalith Wijedoru
- Liverpool School of Tropical MedicineDepartment of Clinical SciencesLiverpoolUKL3 5QA
| | - Sue Mallett
- University of BirminghamInstitute of Applied Health SciencesEdgbastonBirminghamUKB15 2TT
| | - Christopher M Parry
- Liverpool School of Tropical MedicineDepartment of Clinical SciencesLiverpoolUKL3 5QA
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Shi X, Liu X, Wang Q, Das A, Ma G, Xu L, Sun Q, Peddireddi L, Jia W, Liu Y, Anderson G, Bai J, Shi J. A multiplex real-time PCR panel assay for simultaneous detection and differentiation of 12 common swine viruses. J Virol Methods 2016; 236:258-265. [PMID: 27506582 PMCID: PMC7119729 DOI: 10.1016/j.jviromet.2016.08.005] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2016] [Revised: 08/04/2016] [Accepted: 08/05/2016] [Indexed: 11/17/2022]
Abstract
A multiplex real-time PCR panel assay was developed for the detection of 12 major swine pathogens including VSV-IN, VSV-NJ, SVDV, CSFV, ASFV, FMDV, PCV2, PPV, PRV, PRRSV-NA, PRRSV-EU;. The panel assay was 100% specific against common swine pathogens;. Limits of detection of the assay were ranged 1–16 copies per reaction;. Detection sensitivity was not reduced by multiplexing three targets into one PCR reaction.
Mixed infection with different pathogens is common in swine production systems especially under intensive production conditions. Quick and accurate detection and differentiation of different pathogens are necessary for epidemiological surveillance, disease management and import and export controls. In this study, we developed and validated a panel of multiplex real-time PCR/RT-PCR assays composed of four subpanels, each detects three common swine pathogens. The panel detects 12 viruses or viral serotypes, namely, VSV-IN, VSV-NJ, SVDV, CSFV, ASFV, FMDV, PCV2, PPV, PRV, PRRSV-NA, PRRSV-EU and SIV. Correlation coefficients (R2) and PCR amplification efficiencies of all singular and triplex real-time PCR reactions are within the acceptable range. Comparison between singular and triplex real-time PCR assays of each subpanel indicates that there is no significant interference on assay sensitivities caused by multiplexing. Specificity tests on 226 target clinical samples or 4 viral strains and 91 non-target clinical samples revealed that the real-time PCR panel is 100% specific, and there is no cross amplification observed. The limit of detection of each triplex real-time PCR is less than 10 copies per reaction for DNA, and less than 16 copies per reaction for RNA viruses. The newly developed multiplex real-time PCR panel also detected different combinations of co-infections as confirmed by other means of detections.
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Affiliation(s)
- Xiju Shi
- Beijing Entry-Exit Inspection & Quarantine Bureau, Beijing, China; Department of Anatomy and Physiology, College of Veterinary Medicine, Kansas State University, Manhattan, KS, United States
| | - Xuming Liu
- Kansas State Veterinary Diagnostic Laboratory, College of Veterinary Medicine, Kansas State University, Manhattan, KS, United States
| | - Qin Wang
- China Institute of Veterinary Drug Control, Beijing, China
| | - Amaresh Das
- Foreign Animal Diseases Diagnostic Laboratory, NVSL, APHIS, USDA, Greenport, NY, United States
| | - Guiping Ma
- Beijing Entry-Exit Inspection & Quarantine Bureau, Beijing, China
| | - Lu Xu
- China Institute of Veterinary Drug Control, Beijing, China
| | - Qing Sun
- Kansas State Veterinary Diagnostic Laboratory, College of Veterinary Medicine, Kansas State University, Manhattan, KS, United States
| | - Lalitha Peddireddi
- Kansas State Veterinary Diagnostic Laboratory, College of Veterinary Medicine, Kansas State University, Manhattan, KS, United States
| | - Wei Jia
- Foreign Animal Diseases Diagnostic Laboratory, NVSL, APHIS, USDA, Greenport, NY, United States
| | - Yanhua Liu
- Beijing Entry-Exit Inspection & Quarantine Bureau, Beijing, China
| | - Gary Anderson
- Kansas State Veterinary Diagnostic Laboratory, College of Veterinary Medicine, Kansas State University, Manhattan, KS, United States
| | - Jianfa Bai
- Kansas State Veterinary Diagnostic Laboratory, College of Veterinary Medicine, Kansas State University, Manhattan, KS, United States.
| | - Jishu Shi
- Department of Anatomy and Physiology, College of Veterinary Medicine, Kansas State University, Manhattan, KS, United States.
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Scheler O, Glynn B, Kurg A. Nucleic acid detection technologies and marker molecules in bacterial diagnostics. Expert Rev Mol Diagn 2014; 14:489-500. [PMID: 24724586 DOI: 10.1586/14737159.2014.908710] [Citation(s) in RCA: 32] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Abstract
There is a growing need for quick and reliable methods for microorganism detection and identification worldwide. Although traditional culture-based technologies are trustworthy and accurate at a relatively low cost, they are also time- and labor-consuming and are limited to culturable bacteria. Those weaknesses have created a necessity for alternative technologies that are capable for faster and more precise bacterial identification from medical, food or environmental samples. The most common current approach is to analyze the nucleic acid component of analyte solution and determine the bacterial composition according to the specific nucleic acid profiles that are present. This review aims to give an up-to-date overview of different nucleic acid target sequences and respective analytical technologies.
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Affiliation(s)
- Ott Scheler
- Department of Biotechnology, IMCB, University of Tartu, Riia 23, Tartu 51010, Estonia
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Lee YJ, van Nostrand JD, Tu Q, Lu Z, Cheng L, Yuan T, Deng Y, Carter MQ, He Z, Wu L, Yang F, Xu J, Zhou J. The PathoChip, a functional gene array for assessing pathogenic properties of diverse microbial communities. ISME JOURNAL 2013; 7:1974-84. [PMID: 23765101 DOI: 10.1038/ismej.2013.88] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/22/2013] [Revised: 04/10/2013] [Accepted: 04/20/2013] [Indexed: 12/21/2022]
Abstract
Pathogens present in the environment pose a serious threat to human, plant and animal health as evidenced by recent outbreaks. As many pathogens can survive and proliferate in the environment, it is important to understand their population dynamics and pathogenic potential in the environment. To assess pathogenic potential in diverse habitats, we developed a functional gene array, the PathoChip, constructed with key virulence genes related to major virulence factors, such as adherence, colonization, motility, invasion, toxin, immune evasion and iron uptake. A total of 3715 best probes were selected from 13 virulence factors, covering 7417 coding sequences from 1397 microbial species (2336 strains). The specificity of the PathoChip was computationally verified, and approximately 98% of the probes provided specificity at or below the species level, proving its excellent capability for the detection of target sequences with high discrimination power. We applied this array to community samples from soil, seawater and human saliva to assess the occurrence of virulence genes in natural environments. Both the abundance and diversity of virulence genes increased in stressed conditions compared with their corresponding controls, indicating a possible increase in abundance of pathogenic bacteria under environmental perturbations such as warming or oil spills. Statistical analyses showed that microbial communities harboring virulence genes were responsive to environmental perturbations, which drove changes in abundance and distribution of virulence genes. The PathoChip provides a useful tool to identify virulence genes in microbial populations, examine the dynamics of virulence genes in response to environmental perturbations and determine the pathogenic potential of microbial communities.
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Affiliation(s)
- Yong-Jin Lee
- Institute for Environmental Genomics and Department of Microbiology and Plant Biology, University of Oklahoma, Norman, OK, USA
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Donatin E, Drancourt M. DNA microarrays for the diagnosis of infectious diseases. Med Mal Infect 2012; 42:453-9. [PMID: 23058632 PMCID: PMC7127767 DOI: 10.1016/j.medmal.2012.07.017] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2012] [Revised: 07/01/2012] [Accepted: 07/29/2012] [Indexed: 11/26/2022]
Abstract
The diagnosis of bacterial infections relies on isolation of the bacterium, which is rarely achieved when needed for patient management. Furthermore, culture is poorly suited to the diagnosis of polymicrobial infections. Finally, a syndromic approach should target both bacteria and viruses causing the same syndrome. The detection of specific DNA sequences in clinical specimen, using DNA microarrays, is an alternative. Microarrays were first used as a diagnostic tool in 1993, to identify a hantavirus associated with an outbreak of acute respiratory diseases. The main advantage of microarrays is multiplexing, enabling exploration of the microbiota and pathogen detection in bacteremia, respiratory infections, and digestive infections: circumstance in which DNA arrays may lack sensitivity and provide false negatives. Enrichment of sampling can increase sensitivity. Furthermore, chips allow typing Streptococcus pneumoniae and detecting resistance in Staphylococcus aureus (MRSA) and Mycobacterium tuberculosis (rifampicin, isoniazid, fluoroquinolones). However, the cost and high technical requirements remain a problem for routine use of this bacterial infection diagnostic technology.
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Affiliation(s)
- E Donatin
- URMITE, UMR CNRS 7278, IRD 198, Inserm 1095, unité des rickettsies, Aix-Marseille université, Marseille cedex, France
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Fu Y, Pan Y, Pan M, Wang Y, Liu W, Li Y. Development of a high-throughput DNA microarray for drug-resistant gene detection and its preliminary application. J Microbiol Methods 2012; 89:110-8. [PMID: 22619747 DOI: 10.1016/j.mimet.2012.02.010] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
Abstract
Most bacteria are resistant to a wide variety of antibiotics and other drugs, which decrease the effectiveness of clinical drug therapies. The present study developed a high-throughput DNA microarray for drug-resistant gene detection. A total of 115 specific oligonuclieotide probes with lengths of 42 nt to 45 nt and comparable Tm values were selected from 17 categories of drug-resistant genes in the National Center for Biotechnology Information database and were chemically synthesized. The entire bacterial DNA was extracted, randomly amplified, and labeled using Cy3-dCTP. The hybridization conditions of the microarray test were optimized to improve sensitivity and specificity. The drug-resistant genes were detected and genotyped using microarray analysis after hydration at 42°C for 4h with 2× hybridization solution. The microarray test sensitivity was 20ng/μL DNA. The performance of the microarray was validated using reference strains and clinical isolates. The results were consistent with direct DNA sequence analysis and drug susceptibility tests. The developed DNA microarray could be used to detect and screen drug-resistant bacteria rapidly and simultaneously. Thus, the present study could be helpful in effectively using antibiotics and controlling infectious diseases.
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Affiliation(s)
- Yali Fu
- Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing 210029, PR China
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Unc A, Zurek L, Peterson G, Narayanan S, Springthorpe SV, Sattar SA. Microarray assessment of virulence, antibiotic, and heavy metal resistance in an agricultural watershed creek. JOURNAL OF ENVIRONMENTAL QUALITY 2012; 41:534-543. [PMID: 22370416 DOI: 10.2134/jeq2011.0172] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/31/2023]
Abstract
Potential risks associated with impaired surface water quality have commonly been evaluated by indirect description of potential sources using various fecal microbial indicators and derived source-tracking methods. These approaches are valuable for assessing and monitoring the impacts of land-use changes and changes in management practices at the source of contamination. A more detailed evaluation of putative etiologically significant genetic determinants can add value to these assessments. We evaluated the utility of using a microarray that integrates virulence genes with antibiotic and heavy metal resistance genes to describe and discriminate among spatially and seasonally distinct water samples from an agricultural watershed creek in Eastern Ontario. Because microarray signals may be analyzed as binomial distributions, the significance of ambiguous signals can be easily evaluated by using available off-the-shelf software. The FAMD software was used to evaluate uncertainties in the signal data. Analysis of multilocus fingerprinting data sets containing missing data has shown that, for the tested system, any variability in microarray signals had a marginal effect on data interpretation. For the tested watershed, results suggest that in general the wet fall season increased the downstream detection of virulence and resistance genes. Thus, the tested microarray technique has the potential to rapidly describe the quality of surface waters and thus to provide a qualitative tool to augment quantitative microbial risk assessments.
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Affiliation(s)
- Adrian Unc
- Department of Plant and Environmental Sciences, New Mexico State University, Las Cruces, NM, USA.
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Kostić T, Sessitsch A. Microbial Diagnostic Microarrays for the Detection and Typing of Food- and Water-Borne (Bacterial) Pathogens. ACTA ACUST UNITED AC 2011; 1:3-24. [PMID: 27605332 PMCID: PMC5007712 DOI: 10.3390/microarrays1010003] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2011] [Revised: 10/05/2011] [Accepted: 10/07/2011] [Indexed: 01/02/2023]
Abstract
Reliable and sensitive pathogen detection in clinical and environmental (including food and water) samples is of greatest importance for public health. Standard microbiological methods have several limitations and improved alternatives are needed. Most important requirements for reliable analysis include: (i) specificity; (ii) sensitivity; (iii) multiplexing potential; (iv) robustness; (v) speed; (vi) automation potential; and (vii) low cost. Microarray technology can, through its very nature, fulfill many of these requirements directly and the remaining challenges have been tackled. In this review, we attempt to compare performance characteristics of the microbial diagnostic microarrays developed for the detection and typing of food and water pathogens, and discuss limitations, points still to be addressed and issues specific for the analysis of food, water and environmental samples.
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Affiliation(s)
- Tanja Kostić
- AIT Austrian Institute of Technology GmbH, Health & Environment Department, Bioresources Unit, Konrad Lorenz Strasse 24, A-3430 Tulln an der Donau, Austria.
- Christian Doppler Laboratory for Molecular Food Analytics, University of Veterinary Medicine, Veterinärplatz 1, A-1210 Vienna, Austria.
| | - Angela Sessitsch
- AIT Austrian Institute of Technology GmbH, Health & Environment Department, Bioresources Unit, Konrad Lorenz Strasse 24, A-3430 Tulln an der Donau, Austria
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Peterson G, Gerdes B, Berges J, Nagaraja TG, Frye JG, Boyle DS, Narayanan S. Development of microarray and multiplex polymerase chain reaction assays for identification of serovars and virulence genes in Salmonella enterica of human or animal origin. J Vet Diagn Invest 2010; 22:559-69. [PMID: 20622226 DOI: 10.1177/104063871002200410] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
Salmonella enterica is an important enteric pathogen consisting of many serovars that can cause severe clinical diseases in animals and humans. Rapid identification of Salmonella isolates is especially important for epidemiologic monitoring and controlling outbreaks of disease. Although immunologic and DNA-based serovar identification methods are available for rapid identification of isolates, they are time consuming or costly or both. In the current study, 2 molecular methods for identification of Salmonella serovars were developed and validated. A 70-mer oligonucleotide spotted microarray was developed that consisted of probes that detected genes responsible for genetic variation among isolates of Salmonella that can be used for serotyping. A multiplex polymerase chain reaction (PCR) assay was also developed, which is capable of identifying 42 serovars, thus providing a valuable prediction of the pathogenicity of the isolates by detecting the presence of virulence genes sseL, invA, and spvC. The gene spvC was the best predictor of pathogenicity. In a blind study, traditional serologic methods were correlated at 93.3% with the microarray-based method and 100% with the multiplex PCR-based serovar determination.
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Affiliation(s)
- Greg Peterson
- K-246 Mosier Hall, Department of Diagnostic Medicine and Pathobiology, 1800 Denison Avenue, College of Veterinary Medicine, Kansas State University, Manhattan, KS 66502, USA
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Davis MA, Lim JY, Soyer Y, Harbottle H, Chang YF, New D, Orfe LH, Besser TE, Call DR. Development and validation of a resistance and virulence gene microarray targeting Escherichia coli and Salmonella enterica. J Microbiol Methods 2010; 82:36-41. [PMID: 20362014 DOI: 10.1016/j.mimet.2010.03.017] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2009] [Revised: 03/23/2010] [Accepted: 03/24/2010] [Indexed: 11/19/2022]
Abstract
A microarray was developed to simultaneously screen Escherichia coli and Salmonella enterica for multiple genetic traits. The final array included 203 60-mer oligonucleotide probes, including 117 for resistance genes, 16 for virulence genes, 25 for replicon markers, and 45 other markers. Validity of the array was tested by assessing inter-laboratory agreement among four collaborating groups using a blinded study design. Internal validation indicated that the assay was reliable (area under the receiver-operator characteristic curve=0.97). Inter-laboratory agreement, however, was poor when estimated using the intraclass correlation coefficient, which ranged from 0.27 (95% confidence interval 0.24, 0.29) to 0.29 (0.23, 0.34). These findings suggest that extensive testing and procedure standardization will be needed before bacterial genotyping arrays can be readily shared between laboratories.
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Affiliation(s)
- Margaret A Davis
- Department of Veterinary Microbiology and Pathology, College of Veterinary Medicine, Washington State University, Pullman, WA 99164-7040, United States.
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General Aspects of Trace Analytical Methods—IV. Recommendations for Nomenclature, Standard Procedures and Reporting of Experimental Data for Surface Analysis Techniques. PURE APPL CHEM 1979. [DOI: 10.1351/pac197951112243] [Citation(s) in RCA: 54] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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