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Wang D, Shi D, Chen T, Zhou S, Yang Z, Li H, Yang D, Li J, Jin M. A mica filter enables bacterial enrichment from large volumes of natural water for sensitive monitoring of pathogens by nanopore sequencing. JOURNAL OF HAZARDOUS MATERIALS 2024; 472:134495. [PMID: 38714053 DOI: 10.1016/j.jhazmat.2024.134495] [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: 01/19/2024] [Revised: 04/28/2024] [Accepted: 04/29/2024] [Indexed: 05/09/2024]
Abstract
Nanopore sequencing is extremely promising for the high-throughput detection of pathogenic bacteria in natural water; these bacteria may be transmitted to humans and cause waterborne infectious diseases. However, the concentration of pathogenic bacteria in natural water is too low to be detected directly by nanopore sequencing. Herein, we developed a mica filter to enrich over 85% of bacteria from > 10 L of natural water in 100 min, which led to a 102-fold improvement in the assay limits of the MinION sequencer for assessing pathogenic bacteria. Correspondingly, the sequencing time of S. Typhi detection at a concentration as low as 105 CFU/L was reduced from traditional 48 h to 3 h. The bacterial adsorption followed pseudo-first-order kinetics and the successful adsorption of bacteria to the mica filter was confirmed by scanning electron microscopy and Fourier infrared spectroscopy et al. The mica filter remained applicable to a range of water samples whose quality parameters were within the EPA standard limits for freshwater water. The mica filter is thus an effective tool for the sensitive and rapid monitoring of pathogenic bacteria by nanopore sequencing, which can provide timely alerts for waterborne transmission events.
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Affiliation(s)
- Dongshuai Wang
- Tianjin Institute of Environmental and Operational Medicine, Tianjin 300050, PR China
| | - Danyang Shi
- Tianjin Institute of Environmental and Operational Medicine, Tianjin 300050, PR China
| | - Tianjiao Chen
- Tianjin Institute of Environmental and Operational Medicine, Tianjin 300050, PR China
| | - Shuqing Zhou
- Tianjin Institute of Environmental and Operational Medicine, Tianjin 300050, PR China
| | - Zhongwei Yang
- Tianjin Institute of Environmental and Operational Medicine, Tianjin 300050, PR China
| | - Haibei Li
- Tianjin Institute of Environmental and Operational Medicine, Tianjin 300050, PR China
| | - Dong Yang
- Tianjin Institute of Environmental and Operational Medicine, Tianjin 300050, PR China
| | - Junwen Li
- Tianjin Institute of Environmental and Operational Medicine, Tianjin 300050, PR China
| | - Min Jin
- Tianjin Institute of Environmental and Operational Medicine, Tianjin 300050, PR China.
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2
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Zhou L, Zou X, Yong Y, Hu Q. Using cerebrospinal fluid nanopore sequencing assay to diagnose tuberculous meningitis: a retrospective cohort study in China. BMJ Open 2024; 14:e080904. [PMID: 38862231 PMCID: PMC11168130 DOI: 10.1136/bmjopen-2023-080904] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/13/2023] [Accepted: 04/30/2024] [Indexed: 06/13/2024] Open
Abstract
OBJECTIVE This study aimed to evaluate the efficiency of nanopore sequencing for the early diagnosis of tuberculous meningitis (TBM) using cerebrospinal fluid and compared it with acid-fast bacilli (AFB) smear, mycobacterial growth indicator tube culture and Xpert Mycobacterium tuberculosis (MTB)/rifampicin (RIF). DESIGN Single-centre retrospective study. SETTING The Tuberculosis Diagnosis and Treatment Center of Zhejiang Chinese and Western Medicine Integrated Hospital. PARTICIPANTS We enrolled 64 adult patients with presumptive TBM admitted to our hospital from August 2021 to August 2023. METHODS We calculated the sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) of AFB smear, culture, Xpert MTB/RIF and nanopore sequencing to evaluate their diagnostic efficacy compared with a composite reference standard for TBM. RESULTS Among these 64 patients, all tested negative for TBM by AFB smear. The sensitivity, specificity, PPV and NPV were 11.11%, 100%, 100% and 32.2% for culture, 13.33%, 100%, 100% and 2.76% for Xpert MTB/RIF, and 77.78%, 100%, 100% and 65.52% for nanopore sequencing, respectively. CONCLUSION The diagnostic accuracy of the nanopore sequencing test was significantly higher than that of conventional testing methods used to detect TBM.
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Affiliation(s)
- Lihong Zhou
- Tuberculosis Diagnosis and Treatment Center, Integrated Traditional Chinese and Western Medicine Hospital of Zhejiang Province, Hangzhou, China
| | - Xingwu Zou
- Tuberculosis Diagnosis and Treatment Center, Integrated Traditional Chinese and Western Medicine Hospital of Zhejiang Province, Hangzhou, China
| | - Yan Yong
- Tuberculosis Diagnosis and Treatment Center, Integrated Traditional Chinese and Western Medicine Hospital of Zhejiang Province, Hangzhou, China
| | - Qin Hu
- Tuberculosis Diagnosis and Treatment Center, Integrated Traditional Chinese and Western Medicine Hospital of Zhejiang Province, Hangzhou, China
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3
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Buytaers FE, Verhaegen B, Van Nieuwenhuysen T, Roosens NHC, Vanneste K, Marchal K, De Keersmaecker SCJ. Strain-level characterization of foodborne pathogens without culture enrichment for outbreak investigation using shotgun metagenomics facilitated with nanopore adaptive sampling. Front Microbiol 2024; 15:1330814. [PMID: 38495515 PMCID: PMC10940517 DOI: 10.3389/fmicb.2024.1330814] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Accepted: 02/12/2024] [Indexed: 03/19/2024] Open
Abstract
Introduction Shotgun metagenomics has previously proven effective in the investigation of foodborne outbreaks by providing rapid and comprehensive insights into the microbial contaminant. However, culture enrichment of the sample has remained a prerequisite, despite the potential impact on pathogen detection resulting from the growth competition. To circumvent the need for culture enrichment, we explored the use of adaptive sampling using various databases for a targeted nanopore sequencing, compared to shotgun metagenomics alone. Methods The adaptive sampling method was first tested on DNA of mashed potatoes mixed with DNA of a Staphylococcus aureus strain previously associated with a foodborne outbreak. The selective sequencing was used to either deplete the potato sequencing reads or enrich for the pathogen sequencing reads, and compared to a shotgun sequencing. Then, living S. aureus were spiked at 105 CFU into 25 g of mashed potatoes. Three DNA extraction kits were tested, in combination with enrichment using adaptive sampling, following whole genome amplification. After data analysis, the possibility to characterize the contaminant with the different sequencing and extraction methods, without culture enrichment, was assessed. Results Overall, the adaptive sampling outperformed the shotgun sequencing. While the use of a host removal DNA extraction kit and targeted sequencing using a database of foodborne pathogens allowed rapid detection of the pathogen, the most complete characterization was achieved when using solely a database of S. aureus combined with a conventional DNA extraction kit, enabling accurate placement of the strain on a phylogenetic tree alongside outbreak cases. Discussion This method shows great potential for strain-level analysis of foodborne outbreaks without the need for culture enrichment, thereby enabling faster investigations and facilitating precise pathogen characterization. The integration of adaptive sampling with metagenomics presents a valuable strategy for more efficient and targeted analysis of microbial communities in foodborne outbreaks, contributing to improved food safety and public health.
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Affiliation(s)
- Florence E. Buytaers
- Transversal activities in Applied Genomics, Sciensano, Brussels, Belgium
- Department of Plant Biotechnology and Bioinformatics, Ghent University, Ghent, Belgium
| | - Bavo Verhaegen
- National Reference Laboratory for Foodborne Outbreaks (NRL-FBO) and for Coagulase Positive Staphylococci (NRL-CPS), Foodborne Pathogens, Sciensano, Brussels, Belgium
| | - Tom Van Nieuwenhuysen
- National Reference Laboratory for Foodborne Outbreaks (NRL-FBO) and for Coagulase Positive Staphylococci (NRL-CPS), Foodborne Pathogens, Sciensano, Brussels, Belgium
| | | | - Kevin Vanneste
- Transversal activities in Applied Genomics, Sciensano, Brussels, Belgium
| | - Kathleen Marchal
- Department of Plant Biotechnology and Bioinformatics, Ghent University, Ghent, Belgium
- Department of Information Technology, IDlab, IMEC, Ghent University, Ghent, Belgium
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4
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Duarte VDS, Porcellato D. Host DNA depletion methods and genome-centric metagenomics of bovine hindmilk microbiome. mSphere 2024; 9:e0047023. [PMID: 38054728 PMCID: PMC10826364 DOI: 10.1128/msphere.00470-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2023] [Accepted: 10/20/2023] [Indexed: 12/07/2023] Open
Abstract
Bovine mastitis is a multi-etiological and complex disease, resulting in serious economic consequences for dairy farmers and industry. In recent years, the microbiological evaluation of raw milk has been investigated in-depth using next-generation sequencing approaches such as metataxonomic analysis. Despite this, host DNA is a major concern in the shotgun metagenomic sequencing of microbial communities in milk samples, and it represents a big challenge. In this study, we aimed to evaluate different methods for host DNA depletion and/or microbial DNA enrichment and assess the use of PCR-based whole genome amplification in milk samples with high somatic cell count (SCC) by using short- and long-read sequencing technologies. Our results evidenced that DNA extraction performed differently in terms of host DNA removal, impacting metagenome composition and functional profiles.. Moreover, the ratio of SCC/bacteria ultimately impacts microbial DNA yield, and samples with low SCC (SCC below 100,000 cells/mL) are the most problematic. When milk samples with high SCC (SCC above 200,000 cells/mL) underwent multiple-displacement amplification (MDA), we successfully recovered high-quality metagenome-assembled genomes (MAGs), and long-read sequencing was feasible even for samples with low DNA concentration. By associating MDA and short-read sequencing, we recovered two times more MAGs than in untreated samples, and an ongoing co-infection not reported by traditional methods was detected for mastitis pathogen. Overall, this new approach will improve the detection of mastitis-associated microorganisms and make it possible to examine host-microbiome interactions in bovine mastitis.IMPORTANCENext-generation sequencing technologies have been widely used to gain new insights into the diversity of the microbial community of milk samples and dairy products for different purposes such as microbial safety, profiling of starter cultures, and host-microbiome interactions. Milk is a complex food matrix, and additionally, the presence of host nucleic acid sequences is considered a contaminant in untargeted high-throughput sequencing studies. Therefore, genomic-centric metagenomic studies of milk samples focusing on the health-disease status in dairy cattle are still scarce, which makes it difficult to evaluate the microbial ecophysiology of bovine hindmilk. This study provides an alternative method for genome-centric metagenome studies applied to hindmilk samples with high somatic cell content, which is indispensable to examining host-microbiome interactions in bovine mastitis.
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Affiliation(s)
- Vinícius da Silva Duarte
- Faculty of Chemistry, Biotechnology and Food Science, Norwegian University of Life Sciences, Ås, Norway
| | - Davide Porcellato
- Faculty of Chemistry, Biotechnology and Food Science, Norwegian University of Life Sciences, Ås, Norway
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Kocurek B, Ramachandran P, Grim CJ, Morin P, Howard L, Ottesen A, Timme R, Leonard SR, Rand H, Strain E, Tadesse D, Pettengill JB, Lacher DW, Mammel M, Jarvis KG. Application of quasimetagenomics methods to define microbial diversity and subtype Listeria monocytogenes in dairy and seafood production facilities. Microbiol Spectr 2023; 11:e0148223. [PMID: 37812012 PMCID: PMC10714831 DOI: 10.1128/spectrum.01482-23] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2023] [Accepted: 08/18/2023] [Indexed: 10/10/2023] Open
Abstract
IMPORTANCE In developed countries, the human diet is predominated by food commodities, which have been manufactured, processed, and stored in a food production facility. Little is known about the application of metagenomic sequencing approaches for detecting foodborne pathogens, such as L. monocytogenes, and characterizing microbial diversity in food production ecosystems. In this work, we investigated the utility of 16S rRNA amplicon and quasimetagenomic sequencing for the taxonomic and phylogenetic classification of Listeria culture enrichments of environmental swabs collected from dairy and seafood production facilities. We demonstrated that single-nucleotide polymorphism (SNP) analyses of L. monocytogenes metagenome-assembled genomes (MAGs) from quasimetagenomic data sets can achieve similar resolution as culture isolate whole-genome sequencing. To further understand the impact of genome coverage on MAG SNP cluster resolution, an in silico downsampling approach was employed to reduce the percentage of target pathogen sequence reads, providing an initial estimate of required MAG coverage for subtyping resolution of L. monocytogenes.
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Affiliation(s)
- Brandon Kocurek
- Center for Veterinary Medicine, U.S. Food and Drug Administration, Laurel, Maryland, USA
| | - Padmini Ramachandran
- Center for Food Safety and Applied Nutrition, U.S. Food and Drug Administration, College Park, Maryland, USA
| | - Christopher J. Grim
- Center for Food Safety and Applied Nutrition, U.S. Food and Drug Administration, College Park, Maryland, USA
| | - Paul Morin
- Office of Regulatory Science, Northeast Food and Feed Laboratory, U.S. Food and Drug Administration, Jamaica, New York, USA
| | - Laura Howard
- Office of Regulatory Science, Northeast Food and Feed Laboratory, U.S. Food and Drug Administration, Jamaica, New York, USA
| | - Andrea Ottesen
- Center for Veterinary Medicine, U.S. Food and Drug Administration, Laurel, Maryland, USA
| | - Ruth Timme
- Center for Food Safety and Applied Nutrition, U.S. Food and Drug Administration, College Park, Maryland, USA
| | - Susan R. Leonard
- Center for Food Safety and Applied Nutrition, U.S. Food and Drug Administration, Laurel, Maryland, USA
| | - Hugh Rand
- Center for Food Safety and Applied Nutrition, U.S. Food and Drug Administration, College Park, Maryland, USA
| | - Errol Strain
- Center for Food Safety and Applied Nutrition, U.S. Food and Drug Administration, College Park, Maryland, USA
| | - Daniel Tadesse
- Center for Veterinary Medicine, U.S. Food and Drug Administration, Laurel, Maryland, USA
| | - James B. Pettengill
- Center for Food Safety and Applied Nutrition, U.S. Food and Drug Administration, College Park, Maryland, USA
| | - David W. Lacher
- Center for Food Safety and Applied Nutrition, U.S. Food and Drug Administration, Laurel, Maryland, USA
| | - Mark Mammel
- Center for Food Safety and Applied Nutrition, U.S. Food and Drug Administration, Laurel, Maryland, USA
| | - Karen G. Jarvis
- Center for Food Safety and Applied Nutrition, U.S. Food and Drug Administration, College Park, Maryland, USA
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6
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Draft Genome Sequences of Antibiotic-Resistant
Serratia
sp. Strains Isolated from Raw Sewage and Sediment Sludge in Georgia, USA. Microbiol Resour Announc 2022; 11:e0096522. [DOI: 10.1128/mra.00965-22] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
Sewage has been established as a prime matrix for monitoring the emergence and dissemination of etiologic agents and antibiotic resistance determinants in a population. Here, we report the draft genomes and the acquired resistance genes of 11 antibiotic-resistant
Serratia
sp. isolates that were detected in samples from wastewater treatment plants.
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7
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Draft Genome Sequences of Multidrug-Resistant Escherichia coli Isolated from River Water. Microbiol Resour Announc 2022; 11:e0082722. [PMID: 36222705 PMCID: PMC9670951 DOI: 10.1128/mra.00827-22] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
Abstract
The spread of antibiotic resistance poses a critical challenge worldwide. Contaminated environments can become reservoirs, spreading antibiotic-resistant bacteria and genetic determinants of resistance to humans directly or indirectly. Here, we report the draft genome sequence, the resistome, virulence genes, and sequence types of seven multidrug-resistant Escherichia coli strains isolated from river water.
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8
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Banerjee G, Agarwal S, Marshall A, Jones DH, Sulaiman IM, Sur S, Banerjee P. Application of advanced genomic tools in food safety rapid diagnostics: challenges and opportunities. Curr Opin Food Sci 2022. [DOI: 10.1016/j.cofs.2022.100886] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
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9
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Flint A, Laidlaw A, Li L, Raitt C, Rao M, Cooper A, Weedmark K, Carrillo C, Tamber S. Choice of DNA extraction method affects detection of bacterial taxa from retail chicken breast. BMC Microbiol 2022; 22:230. [PMID: 36180850 PMCID: PMC9524001 DOI: 10.1186/s12866-022-02650-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2022] [Accepted: 09/14/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Sequence-based methods for the detection of bacteria such as 16S rRNA amplicon sequencing and metagenomics can provide a comprehensive view of the bacterial microbiome of food. These methods rely on the detection of gene sequences to indicate the presence of viable bacteria. This indirect form of detection can be prone to experimental artefacts. Sample handling and processing are key sources of variation that require standard approaches. Extracting sufficient quantities of high quality DNA from food matrices is challenging because target bacterial species are usually minor components of the microbiota and foods contain an array of compounds that are inhibitory to downstream DNA applications. Here, three DNA extraction methods are compared for their ability to extract high quality bacterial DNA from retail chicken breast rinses, with or without enrichment. Method performance was assessed by comparing ease of use, DNA yield, DNA quality, PCR amplicon yield, and the detection of bacterial taxa by 16S rRNA amplicon sequencing. RESULTS All three DNA extraction methods yielded DNA of sufficient quantity and quality to perform quantitative PCR and 16S rRNA amplicon sequencing. The extraction methods differed in ease of use, with the two commercial kits (PowerFood, PowerSoil) offering considerable time and cost savings over a hybrid method that used laboratory reagents for lysis and commercial column based kits for further purification. Bacterial richness as determined by 16S rRNA amplicon sequencing was similar across the three DNA extraction methods. However, differences were noted in the relative abundance of bacterial taxa, with significantly higher abundance of Gram-positive genera detected in the DNA samples prepared using the PowerFood DNA extraction kit. CONCLUSION The choice of DNA extraction method can affect the detection of bacterial taxa by 16S rRNA amplicon sequencing in chicken meat rinses. Investigators should be aware of this procedural bias and select methods that are fit for the purposes of their investigation.
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Affiliation(s)
- Annika Flint
- Bureau of Microbial Hazards Health Canada, 251 Sir Frederick Banting Driveway, A.L. 2204E, Ottawa, ON, K1A 0K9, Canada
| | - Anna Laidlaw
- Bureau of Microbial Hazards Health Canada, 251 Sir Frederick Banting Driveway, A.L. 2204E, Ottawa, ON, K1A 0K9, Canada
| | - Leo Li
- Bureau of Microbial Hazards Health Canada, 251 Sir Frederick Banting Driveway, A.L. 2204E, Ottawa, ON, K1A 0K9, Canada
| | - Courtney Raitt
- Bureau of Microbial Hazards Health Canada, 251 Sir Frederick Banting Driveway, A.L. 2204E, Ottawa, ON, K1A 0K9, Canada
| | - Mary Rao
- Bureau of Microbial Hazards Health Canada, 251 Sir Frederick Banting Driveway, A.L. 2204E, Ottawa, ON, K1A 0K9, Canada
| | - Ashley Cooper
- Canadian Food Inspection Agency, 960 Carling Road, Ottawa, ON, K1A 0Z2, Canada
| | - Kelly Weedmark
- Bureau of Microbial Hazards Health Canada, 251 Sir Frederick Banting Driveway, A.L. 2204E, Ottawa, ON, K1A 0K9, Canada
| | - Catherine Carrillo
- Canadian Food Inspection Agency, 960 Carling Road, Ottawa, ON, K1A 0Z2, Canada
| | - Sandeep Tamber
- Bureau of Microbial Hazards Health Canada, 251 Sir Frederick Banting Driveway, A.L. 2204E, Ottawa, ON, K1A 0K9, Canada.
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10
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Azinheiro S, Roumani F, Costa-Ribeiro A, Prado M, Garrido-Maestu A. Application of MinION sequencing as a tool for the rapid detection and characterization of Listeria monocytogenes in smoked salmon. Front Microbiol 2022; 13:931810. [PMID: 36033887 PMCID: PMC9399719 DOI: 10.3389/fmicb.2022.931810] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Accepted: 07/15/2022] [Indexed: 11/13/2022] Open
Abstract
Microbial pathogens may be present in different types of foods, and hence the development of novel methods to assure consumers' safeness is of great interest. Molecular methods are known to provide sensitive and rapid results; however, they are typically targeted approaches. In recent years, the advent of non-targeted approaches based on next-generation sequencing (NGS) has emerged as a rational way to proceed. This technology allows for the detection of several pathogens simultaneously. Furthermore, with the same set of data, it is possible to characterize the microorganisms in terms of serotype, virulence, and/ or resistance genes, among other molecular features. In the current study, a novel method for the detection of Listeria monocytogenes based on the "quasimetagenomics" approach was developed. Different enrichment media and immunomagnetic separation (IMS) strategies were compared to determine the best approach in terms of L. monocytogenes sequences generated from smoked salmon samples. Finally, the data generated were analyzed with a user-friendly workflow that simultaneously provided the species identification, serotype, and antimicrobial resistance genes. The new method was thoroughly evaluated against a culture-based approach, using smoked salmon inoculated with L. monocytogenes as the matrix of choice. The sequencing method reached a very low limit of detection (LOD50, 1.2 CFU/ 25 g) along with high diagnostic sensitivity and specificity (100%), and a perfect correlation with the culture-based method (Cohen's k = 1.00). Overall, the proposed method overcomes all the major limitations reported for the implementation of NGS as a routine food testing technology and paves the way for future developments taking its advantage into consideration.
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Affiliation(s)
- Sarah Azinheiro
- Food Quality and Safety Research Group, International Iberian Nanotechnology Laboratory, Braga, Portugal
- Department of Analytical Chemistry, Nutrition and Food Science, Faculty of Veterinary Science, University of Santiago de Compostela, Lugo, Spain
| | - Foteini Roumani
- Food Quality and Safety Research Group, International Iberian Nanotechnology Laboratory, Braga, Portugal
- Department of Analytical Chemistry, Nutrition and Food Science, Faculty of Veterinary Science, University of Santiago de Compostela, Lugo, Spain
| | - Ana Costa-Ribeiro
- Food Quality and Safety Research Group, International Iberian Nanotechnology Laboratory, Braga, Portugal
- Department of Biochemistry, Genetics and Immunology, University of Vigo, Vigo, Spain
| | - Marta Prado
- Food Quality and Safety Research Group, International Iberian Nanotechnology Laboratory, Braga, Portugal
| | - Alejandro Garrido-Maestu
- Food Quality and Safety Research Group, International Iberian Nanotechnology Laboratory, Braga, Portugal
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Sequino G, Valentino V, Villani F, De Filippis F. Omics-based monitoring of microbial dynamics across the food chain for the improvement of food safety and quality. Food Res Int 2022; 157:111242. [DOI: 10.1016/j.foodres.2022.111242] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2022] [Revised: 04/06/2022] [Accepted: 04/08/2022] [Indexed: 11/26/2022]
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12
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Zhou Y, Ren M, Zhang P, Jiang D, Yao X, Luo Y, Yang Z, Wang Y. Application of Nanopore Sequencing in the Detection of Foodborne Microorganisms. NANOMATERIALS 2022; 12:nano12091534. [PMID: 35564242 PMCID: PMC9100974 DOI: 10.3390/nano12091534] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/17/2022] [Revised: 04/28/2022] [Accepted: 04/29/2022] [Indexed: 12/21/2022]
Abstract
Foodborne pathogens have become the subject of intense interest because of their high incidence and mortality worldwide. In the past few decades, people have developed many methods to solve this challenge. At present, methods such as traditional microbial culture methods, nucleic acid or protein-based pathogen detection methods, and whole-genome analysis are widely used in the detection of pathogenic microorganisms in food. However, these methods are limited by time-consuming, cumbersome operations or high costs. The development of nanopore sequencing technology offers the possibility to address these shortcomings. Nanopore sequencing, a third-generation technology, has the advantages of simple operation, high sensitivity, real-time sequencing, and low turnaround time. It can be widely used in the rapid detection and serotyping of foodborne pathogens. This review article discusses foodborne diseases, the principle of nanopore sequencing technology, the application of nanopore sequencing technology in foodborne pathogens detection, as well as its development prospects.
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Brown EW, Bell R, Zhang G, Timme R, Zheng J, Hammack TS, Allard MW. Salmonella Genomics in Public Health and Food Safety. EcoSal Plus 2021; 9:eESP00082020. [PMID: 34125583 PMCID: PMC11163839 DOI: 10.1128/ecosalplus.esp-0008-2020] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2021] [Accepted: 03/16/2021] [Indexed: 12/26/2022]
Abstract
The species Salmonella enterica comprises over 2,600 serovars, many of which are known to be intracellular pathogens of mammals, birds, and reptiles. It is now apparent that Salmonella is a highly adapted environmental microbe and can readily persist in a number of environmental niches, including water, soil, and various plant (including produce) species. Much of what is known about the evolution and diversity of nontyphoidal Salmonella serovars (NTS) in the environment is the result of the rise of the genomics era in enteric microbiology. There are over 340,000 Salmonella genomes available in public databases. This extraordinary breadth of genomic diversity now available for the species, coupled with widespread availability and affordability of whole-genome sequencing (WGS) instrumentation, has transformed the way in which we detect, differentiate, and characterize Salmonella enterica strains in a timely way. Not only have WGS data afforded a detailed and global examination of the molecular epidemiological movement of Salmonella from diverse environmental reservoirs into human and animal hosts, but they have also allowed considerable consolidation of the diagnostic effort required to test for various phenotypes important to the characterization of Salmonella. For example, drug resistance, serovar, virulence determinants, and other genome-based attributes can all be discerned using a genome sequence. Finally, genomic analysis, in conjunction with functional and phenotypic approaches, is beginning to provide new insights into the precise adaptive changes that permit persistence of NTS in so many diverse and challenging environmental niches.
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Affiliation(s)
- Eric W. Brown
- Center for Food Safety and Applied Nutrition, U.S. Food and Drug Administration, College Park, Maryland, USA
| | - Rebecca Bell
- Center for Food Safety and Applied Nutrition, U.S. Food and Drug Administration, College Park, Maryland, USA
| | - Guodong Zhang
- Center for Food Safety and Applied Nutrition, U.S. Food and Drug Administration, College Park, Maryland, USA
| | - Ruth Timme
- Center for Food Safety and Applied Nutrition, U.S. Food and Drug Administration, College Park, Maryland, USA
| | - Jie Zheng
- Center for Food Safety and Applied Nutrition, U.S. Food and Drug Administration, College Park, Maryland, USA
| | - Thomas S. Hammack
- Center for Food Safety and Applied Nutrition, U.S. Food and Drug Administration, College Park, Maryland, USA
| | - Marc W. Allard
- Center for Food Safety and Applied Nutrition, U.S. Food and Drug Administration, College Park, Maryland, USA
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14
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Surveillance of Listeria monocytogenes: Early Detection, Population Dynamics, and Quasimetagenomic Sequencing during Selective Enrichment. Appl Environ Microbiol 2021; 87:e0177421. [PMID: 34613762 PMCID: PMC8612253 DOI: 10.1128/aem.01774-21] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022] Open
Abstract
In this study, we addressed different aspects regarding the implementation of quasimetagenomic sequencing as a hybrid surveillance method in combination with enrichment for early detection of Listeria monocytogenes in the food industry. Different experimental enrichment cultures were used, comprising seven L. monocytogenes strains of different sequence types (STs), with and without a background microbiota community. To assess whether the proportions of the different STs changed over time during enrichment, the growth and population dynamics were assessed using dapE colony sequencing and dapE and 16S rRNA amplicon sequencing. There was a tendency of some STs to have a higher relative abundance during the late stage of enrichment when L. monocytogenes was enriched without background microbiota. When coenriched with background microbiota, the population dynamics of the different STs was more consistent over time. To evaluate the earliest possible time point during enrichment that allows the detection of L. monocytogenes and at the same time the generation of genetic information that enables an estimation regarding the strain diversity in a sample, quasimetagenomic sequencing was performed early during enrichment in the presence of the background microbiota using Oxford Nanopore Technologies Flongle and Illumina MiSeq sequencing. The application of multiple displacement amplification (MDA) enabled detection of L. monocytogenes (and the background microbiota) after only 4 h of enrichment using both applied sequencing approaches. The MiSeq sequencing data additionally enabled the prediction of cooccurring L. monocytogenes strains in the samples. IMPORTANCE We showed that a combination of a short primary enrichment combined with MDA and Nanopore sequencing can accelerate the traditional process of cultivation and identification of L. monocytogenes. The use of Illumina MiSeq sequencing additionally allowed us to predict the presence of cooccurring L. monocytogenes strains. Our results suggest quasimetagenomic sequencing is a valuable and promising hybrid surveillance tool for the food industry that enables faster identification of L. monocytogenes during early enrichment. Routine application of this approach could lead to more efficient and proactive actions in the food industry that prevent contamination and subsequent product recalls and food destruction, economic and reputational losses, and human listeriosis cases.
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Buytaers FE, Saltykova A, Denayer S, Verhaegen B, Vanneste K, Roosens NHC, Piérard D, Marchal K, De Keersmaecker SCJ. Towards Real-Time and Affordable Strain-Level Metagenomics-Based Foodborne Outbreak Investigations Using Oxford Nanopore Sequencing Technologies. Front Microbiol 2021; 12:738284. [PMID: 34803953 PMCID: PMC8602914 DOI: 10.3389/fmicb.2021.738284] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2021] [Accepted: 10/13/2021] [Indexed: 11/18/2022] Open
Abstract
The current routine laboratory practices to investigate food samples in case of foodborne outbreaks still rely on attempts to isolate the pathogen in order to characterize it. We present in this study a proof of concept using Shiga toxin-producing Escherichia coli spiked food samples for a strain-level metagenomics foodborne outbreak investigation method using the MinION and Flongle flow cells from Oxford Nanopore Technologies, and we compared this to Illumina short-read-based metagenomics. After 12 h of MinION sequencing, strain-level characterization could be achieved, linking the food containing a pathogen to the related human isolate of the affected patient, by means of a single-nucleotide polymorphism (SNP)-based phylogeny. The inferred strain harbored the same virulence genes as the spiked isolate and could be serotyped. This was achieved by applying a bioinformatics method on the long reads using reference-based classification. The same result could be obtained after 24-h sequencing on the more recent lower output Flongle flow cell, on an extract treated with eukaryotic host DNA removal. Moreover, an alternative approach based on in silico DNA walking allowed to obtain rapid confirmation of the presence of a putative pathogen in the food sample. The DNA fragment harboring characteristic virulence genes could be matched to the E. coli genus after sequencing only 1 h with the MinION, 1 h with the Flongle if using a host DNA removal extraction, or 5 h with the Flongle with a classical DNA extraction. This paves the way towards the use of metagenomics as a rapid, simple, one-step method for foodborne pathogen detection and for fast outbreak investigation that can be implemented in routine laboratories on samples prepared with the current standard practices.
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Affiliation(s)
- Florence E. Buytaers
- Transversal Activities in Applied Genomics, Sciensano, Brussels, Belgium
- Department of Plant Biotechnology and Bioinformatics, Ghent University, Ghent, Belgium
| | - Assia Saltykova
- Transversal Activities in Applied Genomics, Sciensano, Brussels, Belgium
- Department of Plant Biotechnology and Bioinformatics, Ghent University, Ghent, Belgium
| | - Sarah Denayer
- National Reference Laboratory for Shiga Toxin-Producing Escherichia coli (NRL STEC), Foodborne Pathogens, Sciensano, Brussels, Belgium
| | - Bavo Verhaegen
- National Reference Laboratory for Shiga Toxin-Producing Escherichia coli (NRL STEC), Foodborne Pathogens, Sciensano, Brussels, Belgium
| | - Kevin Vanneste
- Transversal Activities in Applied Genomics, Sciensano, Brussels, Belgium
| | | | - Denis Piérard
- National Reference Center for Shiga Toxin-Producing Escherichia coli (NRC STEC), Department of Microbiology and Infection Control, Universitair Ziekenhuis Brussel (UZ Brussel), Vrije Universiteit Brussel (VUB), Brussels, Belgium
| | - Kathleen Marchal
- Department of Plant Biotechnology and Bioinformatics, Ghent University, Ghent, Belgium
- Department of Information Technology, IDlab, IMEC, Ghent University, Ghent, Belgium
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Azinheiro S, Roumani F, Carvalho J, Prado M, Garrido-Maestu A. Suitability of the MinION long read sequencer for semi-targeted detection of foodborne pathogens. Anal Chim Acta 2021; 1184:339051. [PMID: 34625270 DOI: 10.1016/j.aca.2021.339051] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2021] [Accepted: 09/07/2021] [Indexed: 12/20/2022]
Abstract
Foodborne pathogens are still a significant source of morbidity and mortality worldwide. In addition to this the current methodologies to track these microorganisms cannot cope with the current intensive production systems, thus novel methods are of outmost importance. DNA-based methods have already demonstrated suitable to address this issue, but most of them are targeted methods such as real-time PCR (qPCR), meaning that one will only find what is looking for, thus taking the risk of missing relevant pathogens in a given sample. To overcome this limitation we have developed an easy-to-implement methodology which enables the detection of several pathogens simultaneously by using long-read Next Generation Sequencing (NGS) with MinION. The method was named "semi-targeted" due to the combination of a non-targeted detection method, NGS, with the usage of selective media in order to partially eliminate non-pathogenic interfering bacteria. To this end, we included an enrichment step for the recovery of different pathogens, namely Salmonella Enteritidis and Typhimurium, Listeria monocytogenes and Escherichia coli O157:H7, after DNA extraction and library preparation, the samples were analyzed with MinION implementing the low-cost Flongle Flow Cells. The methodology was successfully evaluated in spiked milk samples with an excellent agreement with the results obtained by qPCR and culture-based methods. The method can provide accurate results after only 2 h of sequencing. Sample multiplexing, along with the lower cost of the Flongle Flow Cells and the reduced price of the MinION platform, make the assay cost-effective that is of importance for the food industry. Starting the method with a classical microbiological approach, the enrichment, the method is easy to implement in testing laboratories, it provides flexibility in terms of potential pathogens to be detected, and the positive results can be easily confirmed following culture-based, or other type, of confirmation procedures.
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Affiliation(s)
- Sarah Azinheiro
- Food Quality and Safety Research Group. International Iberian Nanotechnology Laboratory, Av. Mestre José Veiga S/n, 4715-330 Braga, Portugal; College of Pharmacy/School of Veterinary Sciences. Department of Analytical Chemistry, Nutrition and Food Science, School of Veterinary Sciences, University of Santiago de Compostela, Spain
| | - Foteini Roumani
- Food Quality and Safety Research Group. International Iberian Nanotechnology Laboratory, Av. Mestre José Veiga S/n, 4715-330 Braga, Portugal; College of Pharmacy/School of Veterinary Sciences. Department of Analytical Chemistry, Nutrition and Food Science, School of Veterinary Sciences, University of Santiago de Compostela, Spain
| | - Joana Carvalho
- Food Quality and Safety Research Group. International Iberian Nanotechnology Laboratory, Av. Mestre José Veiga S/n, 4715-330 Braga, Portugal; College of Pharmacy/School of Veterinary Sciences. Department of Analytical Chemistry, Nutrition and Food Science, School of Veterinary Sciences, University of Santiago de Compostela, Spain
| | - Marta Prado
- Food Quality and Safety Research Group. International Iberian Nanotechnology Laboratory, Av. Mestre José Veiga S/n, 4715-330 Braga, Portugal
| | - Alejandro Garrido-Maestu
- Food Quality and Safety Research Group. International Iberian Nanotechnology Laboratory, Av. Mestre José Veiga S/n, 4715-330 Braga, Portugal.
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Sserwadda I, Mboowa G. rMAP: the Rapid Microbial Analysis Pipeline for ESKAPE bacterial group whole-genome sequence data. Microb Genom 2021; 7:000583. [PMID: 34110280 PMCID: PMC8461470 DOI: 10.1099/mgen.0.000583] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2020] [Accepted: 04/13/2021] [Indexed: 12/13/2022] Open
Abstract
The recent re-emergence of multidrug-resistant pathogens has exacerbated their threat to worldwide public health. The evolution of the genomics era has led to the generation of huge volumes of sequencing data at an unprecedented rate due to the ever-reducing costs of whole-genome sequencing (WGS). We have developed the Rapid Microbial Analysis Pipeline (rMAP), a user-friendly pipeline capable of profiling the resistomes of ESKAPE pathogens (Enterococcus faecium, Staphylococcus aureus, Klebsiella pneumoniae, Acinetobacter baumannii, Pseudomonas aeruginosa and Enterobacter species) using WGS data generated from Illumina's sequencing platforms. rMAP is designed for individuals with little bioinformatics expertise, and automates the steps required for WGS analysis directly from the raw genomic sequence data, including adapter and low-quality sequence read trimming, de novo genome assembly, genome annotation, single-nucleotide polymorphism (SNP) variant calling, phylogenetic inference by maximum likelihood, antimicrobial resistance (AMR) profiling, plasmid profiling, virulence factor determination, multi-locus sequence typing (MLST), pangenome analysis and insertion sequence characterization (IS). Once the analysis is finished, rMAP generates an interactive web-like html report. rMAP installation is very simple, it can be run using very simple commands. It represents a rapid and easy way to perform comprehensive bacterial WGS analysis using a personal laptop in low-income settings where high-performance computing infrastructure is limited.
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Affiliation(s)
- Ivan Sserwadda
- Department of Immunology and Molecular Biology, College of Health Sciences, School of Biomedical Sciences, Makerere University, Kampala, Uganda
- Department of Biochemistry and Bioinformatics, School of Pure and Applied Sciences, Pwani University, Kilifi, Kenya
| | - Gerald Mboowa
- Department of Immunology and Molecular Biology, College of Health Sciences, School of Biomedical Sciences, Makerere University, Kampala, Uganda
- The African Center of Excellence in Bioinformatics and Data-Intensive Sciences, the Infectious Diseases Institute, College of Health Sciences, Makerere University, Kampala, Uganda
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Tong S, Ma L, Ronholm J, Hsiao W, Lu X. Whole genome sequencing of Campylobacter in agri-food surveillance. Curr Opin Food Sci 2021. [DOI: 10.1016/j.cofs.2020.12.020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
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Commichaux S, Javkar K, Ramachandran P, Nagarajan N, Bertrand D, Chen Y, Reed E, Gonzalez-Escalona N, Strain E, Rand H, Pop M, Ottesen A. Evaluating the accuracy of Listeria monocytogenes assemblies from quasimetagenomic samples using long and short reads. BMC Genomics 2021; 22:389. [PMID: 34039264 PMCID: PMC8157722 DOI: 10.1186/s12864-021-07702-2] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2020] [Accepted: 05/11/2021] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND Whole genome sequencing of cultured pathogens is the state of the art public health response for the bioinformatic source tracking of illness outbreaks. Quasimetagenomics can substantially reduce the amount of culturing needed before a high quality genome can be recovered. Highly accurate short read data is analyzed for single nucleotide polymorphisms and multi-locus sequence types to differentiate strains but cannot span many genomic repeats, resulting in highly fragmented assemblies. Long reads can span repeats, resulting in much more contiguous assemblies, but have lower accuracy than short reads. RESULTS We evaluated the accuracy of Listeria monocytogenes assemblies from enrichments (quasimetagenomes) of naturally-contaminated ice cream using long read (Oxford Nanopore) and short read (Illumina) sequencing data. Accuracy of ten assembly approaches, over a range of sequencing depths, was evaluated by comparing sequence similarity of genes in assemblies to a complete reference genome. Long read assemblies reconstructed a circularized genome as well as a 71 kbp plasmid after 24 h of enrichment; however, high error rates prevented high fidelity gene assembly, even at 150X depth of coverage. Short read assemblies accurately reconstructed the core genes after 28 h of enrichment but produced highly fragmented genomes. Hybrid approaches demonstrated promising results but had biases based upon the initial assembly strategy. Short read assemblies scaffolded with long reads accurately assembled the core genes after just 24 h of enrichment, but were highly fragmented. Long read assemblies polished with short reads reconstructed a circularized genome and plasmid and assembled all the genes after 24 h enrichment but with less fidelity for the core genes than the short read assemblies. CONCLUSION The integration of long and short read sequencing of quasimetagenomes expedited the reconstruction of a high quality pathogen genome compared to either platform alone. A new and more complete level of information about genome structure, gene order and mobile elements can be added to the public health response by incorporating long read analyses with the standard short read WGS outbreak response.
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Affiliation(s)
- Seth Commichaux
- Center for Food Safety and Applied Nutrition, Food and Drug Administration, Laurel, MD, USA.
- Center for Bioinformatics and Computational Biology, University of Maryland, College Park, MD, USA.
- Biological Science Graduate Program, University of Maryland, College Park, MD, USA.
| | - Kiran Javkar
- Center for Bioinformatics and Computational Biology, University of Maryland, College Park, MD, USA
- Department of Computer Science, University of Maryland, College Park, MD, USA
- Joint Institute for Food Safety and Applied Nutrition, University of Maryland, College Park, MD, USA
| | - Padmini Ramachandran
- Center for Food Safety and Nutrition, Food and Drug Administration, College Park, MD, USA
| | - Niranjan Nagarajan
- Computational and Systems Biology, Genome Institute of Singapore, Singapore, 13862, Singapore
| | - Denis Bertrand
- Computational and Systems Biology, Genome Institute of Singapore, Singapore, 13862, Singapore
| | - Yi Chen
- Center for Food Safety and Nutrition, Food and Drug Administration, College Park, MD, USA
| | - Elizabeth Reed
- Center for Food Safety and Nutrition, Food and Drug Administration, College Park, MD, USA
| | | | - Errol Strain
- Center for Food Safety and Applied Nutrition, Food and Drug Administration, Laurel, MD, USA
| | - Hugh Rand
- Center for Food Safety and Nutrition, Food and Drug Administration, College Park, MD, USA
| | - Mihai Pop
- Department of Computer Science, University of Maryland, College Park, MD, USA
| | - Andrea Ottesen
- Center for Veterinary Medicine, Food and Drug Administration, Laurel, MD, USA
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Draft Genome Sequences of Colistin-Resistant and mcr-1.1-Carrying Escherichia coli Strains Isolated from Irrigation Water. Microbiol Resour Announc 2021; 10:10/14/e00120-21. [PMID: 33833024 PMCID: PMC8032466 DOI: 10.1128/mra.00120-21] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
Abstract
Colistin has been classified as a highest priority clinically important antibiotic. However, the emergence of mobile colistin resistance (mcr) genes has threatened the therapeutic uses of colistin. Here, we report the draft genome sequences, antibiotic resistance genes, and sequence types (STs) of two multidrug-resistant and mcr-1.1-positive Escherichia coli strains isolated from irrigation water. Colistin has been classified as a highest priority critically important antibiotic. However, the emergence of mobile colistin resistance (mcr) genes has threatened the therapeutic uses of colistin. Here, we report the draft genome sequences, antibiotic resistance genes, and sequence types (STs) of two multidrug-resistant and mcr-1.1-positive Escherichia coli strains isolated from irrigation water.
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Buytaers FE, Saltykova A, Mattheus W, Verhaegen B, Roosens NHC, Vanneste K, Laisnez V, Hammami N, Pochet B, Cantaert V, Marchal K, Denayer S, De Keersmaecker SC. Application of a strain-level shotgun metagenomics approach on food samples: resolution of the source of a Salmonella food-borne outbreak. Microb Genom 2021; 7:000547. [PMID: 33826490 PMCID: PMC8208685 DOI: 10.1099/mgen.0.000547] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2021] [Accepted: 02/23/2021] [Indexed: 02/04/2023] Open
Abstract
Food-borne outbreak investigation currently relies on the time-consuming and challenging bacterial isolation from food, to be able to link food-derived strains to more easily obtained isolates from infected people. When no food isolate can be obtained, the source of the outbreak cannot be unambiguously determined. Shotgun metagenomics approaches applied to the food samples could circumvent this need for isolation from the suspected source, but require downstream strain-level data analysis to be able to accurately link to the human isolate. Until now, this approach has not yet been applied outside research settings to analyse real food-borne outbreak samples. In September 2019, a Salmonella outbreak occurred in a hotel school in Bruges, Belgium, affecting over 200 students and teachers. Following standard procedures, the Belgian National Reference Center for human salmonellosis and the National Reference Laboratory for Salmonella in food and feed used conventional analysis based on isolation, serotyping and MLVA (multilocus variable number tandem repeat analysis) comparison, followed by whole-genome sequencing, to confirm the source of the contamination over 2 weeks after receipt of the sample, which was freshly prepared tartar sauce in a meal cooked at the school. Our team used this outbreak as a case study to deliver a proof of concept for a short-read strain-level shotgun metagenomics approach for source tracking. We received two suspect food samples: the full meal and some freshly made tartar sauce served with this meal, requiring the use of raw eggs. After analysis, we could prove, without isolation, that Salmonella was present in both samples, and we obtained an inferred genome of a Salmonella enterica subsp. enterica serovar Enteritidis that could be linked back to the human isolates of the outbreak in a phylogenetic tree. These metagenomics-derived outbreak strains were separated from sporadic cases as well as from another outbreak circulating in Europe at the same time period. This is, to our knowledge, the first Salmonella food-borne outbreak investigation uniquely linking the food source using a metagenomics approach and this in a fast time frame.
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Affiliation(s)
- Florence E. Buytaers
- Transversal Activities in Applied Genomics, Sciensano, Brussels, Belgium
- Department of Plant Biotechnology and Bioinformatics, Ghent University, Ghent, Belgium
| | - Assia Saltykova
- Transversal Activities in Applied Genomics, Sciensano, Brussels, Belgium
- Department of Plant Biotechnology and Bioinformatics, Ghent University, Ghent, Belgium
| | - Wesley Mattheus
- National Reference Center for Salmonella and Shigella spp., Sciensano, Brussels, Belgium
| | - Bavo Verhaegen
- National Reference Laboratory for Salmonella and Food-Borne Infections, Food-Borne Pathogens, Sciensano, Brussels, Belgium
| | | | - Kevin Vanneste
- Transversal Activities in Applied Genomics, Sciensano, Brussels, Belgium
| | | | | | - Brigitte Pochet
- Federal Agency for the Security of the Food Chain, Brussels, Belgium
| | - Vera Cantaert
- Federal Agency for the Security of the Food Chain, Brussels, Belgium
| | - Kathleen Marchal
- Department of Plant Biotechnology and Bioinformatics, Ghent University, Ghent, Belgium
- Department of Information Technology, IDlab, IMEC, Ghent University, Ghent, Belgium
- Department of Genetics, University of Pretoria, Pretoria, South Africa
| | - Sarah Denayer
- National Reference Laboratory for Salmonella and Food-Borne Infections, Food-Borne Pathogens, Sciensano, Brussels, Belgium
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Xu F, Ge C, Li S, Tang S, Wu X, Luo H, Deng X, Zhang G, Stevenson A, Baker RC. Evaluation of nanopore sequencing technology to identify Salmonella enterica Choleraesuis var. Kunzendorf and Orion var. 15 +, 34 . Int J Food Microbiol 2021; 346:109167. [PMID: 33774575 DOI: 10.1016/j.ijfoodmicro.2021.109167] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2020] [Revised: 03/04/2021] [Accepted: 03/08/2021] [Indexed: 02/06/2023]
Abstract
Our previous study demonstrated that whole genome sequencing (WGS) data generated by Oxford Nanopore Technologies (ONT) can be used for rapid and accurate prediction of selected Salmonella serotypes. However, one limitation is that established methods for WGS-based serotype prediction, utilizing data from either ONT or Illumina, cannot differentiate certain serotypes and serotype variants with the same or closely related antigenic formulae. This study aimed to evaluate nanopore sequencing and additional data analysis for identification of Salmonella enterica Choleraesuis var. Kunzendorf and S. enterica Orion var. 15+, 34+, thus overcoming this limitation. Five workflows that combined different flow cells, library construction methods and basecaller models were evaluated and compared. The workflow that consisted of the R9 flow cell, rapid sequencing library construction kit and guppy basecaller with base modified model performed best for Single Nucleotide Polymorphism (SNP) analysis. With this workflow, 99.98% of matching identity between assembled genomes from ONT and that from Illumina was achieved. Less than five high-quality SNPs differed when comparing sequencing data between ONT and Illumina. SNP typing successfully identified Choleraesuis var. Kunzendorf. While prophage prediction further differentiated Orion var. 15+, 34+ from the other two Orion variants. Our study improves the readiness of ONT as a Salmonella subtyping and source tracking tool for food industry applications.
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Affiliation(s)
- Feng Xu
- Mars Global Food Safety Center, Beijing 101407, China.
| | - Chongtao Ge
- Mars Global Food Safety Center, Beijing 101407, China.
| | - Shaoting Li
- Center for Food Safety, University of Georgia, Griffin, GA 30223, USA
| | - Silin Tang
- Mars Global Food Safety Center, Beijing 101407, China
| | - Xingwen Wu
- Mars Global Food Safety Center, Beijing 101407, China
| | - Hao Luo
- Mars Global Food Safety Center, Beijing 101407, China
| | - Xiangyu Deng
- Center for Food Safety, University of Georgia, Griffin, GA 30223, USA
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Draft Genome Sequences of Multidrug-Resistant and mcr-1.1-Harboring Escherichia coli Isolated from Drinking and Well Waters Used in Syrian Refugee Camps. Microbiol Resour Announc 2021; 10:10/2/e01252-20. [PMID: 33446591 PMCID: PMC7849704 DOI: 10.1128/mra.01252-20] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
Resistance to colistin, a last-resort antibiotic, threatens the treatment of complicated infections, especially in susceptible populations such as Syrian refugees who live in makeshift camps. Two multidrug-resistant Escherichia coli strains with the plasmid-borne colistin resistance gene (mcr-1.1) were isolated from the waters used by refugees and sequenced to analyze antibiotic resistance determinants.
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Assessing Nanopore Sequencing for Clinical Diagnostics: a Comparison of Next-Generation Sequencing (NGS) Methods for Mycobacterium tuberculosis. J Clin Microbiol 2020; 59:JCM.00583-20. [PMID: 33055186 DOI: 10.1128/jcm.00583-20] [Citation(s) in RCA: 43] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2020] [Accepted: 10/06/2020] [Indexed: 12/20/2022] Open
Abstract
Next-generation sequencing technologies are being rapidly adopted as a tool of choice for diagnostic and outbreak investigation in public health laboratories. However, costs of operation and the need for specialized staff remain major hurdles for laboratories with limited resources for implementing these technologies. This project aimed to assess the feasibility of using Oxford Nanopore MinION whole-genome sequencing data of Mycobacterium tuberculosis isolates for species identification, in silico spoligotyping, detection of mutations associated with antimicrobial resistance (AMR) to accurately predict drug susceptibility profiles, and phylogenetic analysis to detect transmission between cases. The results were compared prospectively in real time to those obtained with our current clinically validated Illumina MiSeq sequencing assay for M. tuberculosis and phenotypic drug susceptibility testing results when available. Our assessment of 431 sequenced samples over a 32-week period demonstrates that, when using the proper quality controls and thresholds, the MinION can achieve levels of genotyping analysis and phenotypic resistance predictions comparable to those of the Illumina MiSeq at a very competitive cost per sample. Our results indicate that nanopore sequencing can be a suitable alternative to, or complement, currently used sequencing platforms in a clinical setting and has the potential to be widely adopted in public health laboratories in the near future.
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The Mobile Colistin Resistance Gene, mcr-1.1, Is Carried on IncX4 Plasmids in Multidrug Resistant E. coli Isolated from Rainbow Trout Aquaculture. Microorganisms 2020; 8:microorganisms8111636. [PMID: 33113918 PMCID: PMC7690709 DOI: 10.3390/microorganisms8111636] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2020] [Revised: 10/13/2020] [Accepted: 10/21/2020] [Indexed: 12/22/2022] Open
Abstract
Colistin, a last resort antibiotic, is important for controlling infections with carbapenem-resistant Enterobacteriaceae. The recent emergence of mobile-colistin-resistance (mcr) genes has threatened the effectiveness of colistin. Aquaculture is hypothesized to be a major contributor to the evolution and dissemination of mcr. However, data on mcr in aquaculture are limited. Here, the occurrence of mcr-1 was assessed in Rainbow Trout in Lebanon, a country with developing antimicrobial stewardship and an established use of colistin for medical and farming purposes. mcr-1 was detected in 5 Escherichia coli isolated from fish guts. The isolates were classified as multidrug-resistant and their colistin minimum inhibitory concentration ranged between 16 and 32 μg/mL. Whole genome sequencing analysis showed that mcr-1 was carried on transmissible IncX4 plasmids and that the isolates harbored more than 14 antibiotic resistance genes. The isolates belonged to ST48 and ST101, which have been associated with mcr and can occur in humans and fish. The mcr-1-positive E. coli persisted in 6-day biofilms, but there was a potential fitness cost. Given the status of infrastructure in Lebanon, there is a high potential for the dissemination of mcr via aquatic environments. Urgent actions are needed to control mcr and to enhance antimicrobial stewardship in Lebanon.
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Buytaers FE, Saltykova A, Denayer S, Verhaegen B, Vanneste K, Roosens NHC, Piérard D, Marchal K, De Keersmaecker SCJ. A Practical Method to Implement Strain-Level Metagenomics-Based Foodborne Outbreak Investigation and Source Tracking in Routine. Microorganisms 2020; 8:E1191. [PMID: 32764329 PMCID: PMC7463776 DOI: 10.3390/microorganisms8081191] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2020] [Revised: 07/31/2020] [Accepted: 08/01/2020] [Indexed: 12/13/2022] Open
Abstract
The management of a foodborne outbreak depends on the rapid and accurate identification of the responsible food source. Conventional methods based on isolation of the pathogen from the food matrix and target-specific real-time polymerase chain reactions (qPCRs) are used in routine. In recent years, the use of whole genome sequencing (WGS) of bacterial isolates has proven its value to collect relevant information for strain characterization as well as tracing the origin of the contamination by linking the food isolate with the patient's isolate with high resolution. However, the isolation of a bacterial pathogen from food matrices is often time-consuming and not always successful. Therefore, we aimed to improve outbreak investigation by developing a method that can be implemented in reference laboratories to characterize the pathogen in the food vehicle without its prior isolation and link it back to human cases. We tested and validated a shotgun metagenomics approach by spiking food pathogens in specific food matrices using the Shiga toxin-producing Escherichia coli (STEC) as a case study. Different DNA extraction kits and enrichment procedures were investigated to obtain the most practical workflow. We demonstrated the feasibility of shotgun metagenomics to obtain the same information as in ISO/TS 13136:2012 and WGS of the isolate in parallel by inferring the genome of the contaminant and characterizing it in a shorter timeframe. This was achieved in food samples containing different E. coli strains, including a combination of different STEC strains. For the first time, we also managed to link individual strains from a food product to isolates from human cases, demonstrating the power of shotgun metagenomics for rapid outbreak investigation and source tracking.
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Affiliation(s)
- Florence E. Buytaers
- Transversal activities in Applied Genomics, Sciensano, 1050 Brussels, Belgium; (F.E.B.); (A.S.); (K.V.); (N.H.C.R.)
- Department of Plant Biotechnology and Bioinformatics, Ghent University, 9000 Ghent, Belgium;
| | - Assia Saltykova
- Transversal activities in Applied Genomics, Sciensano, 1050 Brussels, Belgium; (F.E.B.); (A.S.); (K.V.); (N.H.C.R.)
- Department of Plant Biotechnology and Bioinformatics, Ghent University, 9000 Ghent, Belgium;
| | - Sarah Denayer
- National Reference Laboratory for Shiga Toxin-Producing Escherichia coli (NRL STEC), Foodborne Pathogens, Sciensano, 1050 Brussels, Belgium; (S.D.); (B.V.)
| | - Bavo Verhaegen
- National Reference Laboratory for Shiga Toxin-Producing Escherichia coli (NRL STEC), Foodborne Pathogens, Sciensano, 1050 Brussels, Belgium; (S.D.); (B.V.)
| | - Kevin Vanneste
- Transversal activities in Applied Genomics, Sciensano, 1050 Brussels, Belgium; (F.E.B.); (A.S.); (K.V.); (N.H.C.R.)
| | - Nancy H. C. Roosens
- Transversal activities in Applied Genomics, Sciensano, 1050 Brussels, Belgium; (F.E.B.); (A.S.); (K.V.); (N.H.C.R.)
| | - Denis Piérard
- National Reference Center for Shiga Toxin-Producing Escherichia coli (NRC STEC), Department of Microbiology and Infection Control, Universitair Ziekenhuis Brussel (UZ Brussel), Vrije Universiteit Brussel (VUB), 1090 Brussels, Belgium;
| | - Kathleen Marchal
- Department of Plant Biotechnology and Bioinformatics, Ghent University, 9000 Ghent, Belgium;
- Department of Information Technology, IDlab, IMEC, Ghent University, 9000 Ghent, Belgium
- Department of Genetics, University of Pretoria, 0001 Pretoria, South Africa
| | - Sigrid C. J. De Keersmaecker
- Transversal activities in Applied Genomics, Sciensano, 1050 Brussels, Belgium; (F.E.B.); (A.S.); (K.V.); (N.H.C.R.)
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Xu F, Ge C, Luo H, Li S, Wiedmann M, Deng X, Zhang G, Stevenson A, Baker RC, Tang S. Evaluation of real-time nanopore sequencing for Salmonella serotype prediction. Food Microbiol 2020; 89:103452. [DOI: 10.1016/j.fm.2020.103452] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2019] [Revised: 02/02/2020] [Accepted: 02/03/2020] [Indexed: 12/21/2022]
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Quijada NM, Rodríguez-Lázaro D, Eiros JM, Hernández M. TORMES: an automated pipeline for whole bacterial genome analysis. Bioinformatics 2020; 35:4207-4212. [PMID: 30957837 DOI: 10.1093/bioinformatics/btz220] [Citation(s) in RCA: 60] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2018] [Revised: 02/12/2019] [Accepted: 04/04/2019] [Indexed: 01/09/2023] Open
Abstract
MOTIVATION The progress of High Throughput Sequencing (HTS) technologies and the reduction in the sequencing costs are such that Whole Genome Sequencing (WGS) could replace many traditional laboratory assays and procedures. Exploiting the volume of data produced by HTS platforms requires substantial computing skills and this is the main bottleneck in the implementation of WGS as a routine laboratory technique. The way in which the vast amount of results are presented to researchers and clinicians with no specialist knowledge of genome sequencing is also a significant issue. RESULTS Here we present TORMES, a user-friendly pipeline for WGS analysis of bacteria from any origin generated by HTS on Illumina platforms. TORMES is designed for non-bioinformatician users, and automates the steps required for WGS analysis directly from the raw sequence data: sequence quality filtering, de novo assembly, draft genome ordering against a reference, genome annotation, multi-locus sequence typing (MLST), searching for antibiotic resistance and virulence genes, and pangenome comparisons. Once the analysis is finished, TORMES generates and interactive web-like report that can be opened in any web browser and shared and revised by researchers in a simple manner. TORMES can be run by using very simple commands and represent a quick an easy way to perform WGS analysis. AVAILABILITY AND IMPLEMENTATION TORMES is free available at https://github.com/nmquijada/tormes. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
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Affiliation(s)
- Narciso M Quijada
- Laboratory of Molecular Biology and Microbiology, Instituto Tecnológico Agrario de Castilla y León, Valladolid, Spain.,Division of Microbiology, Department of Biotechnology and Food Science, Universidad de Burgos, Burgos, Spain
| | - David Rodríguez-Lázaro
- Division of Microbiology, Department of Biotechnology and Food Science, Universidad de Burgos, Burgos, Spain
| | - Jose María Eiros
- Servicio de Microbiología y Parasitología, Hospital Universitario del Río Hortega, Valladolid, Spain
| | - Marta Hernández
- Laboratory of Molecular Biology and Microbiology, Instituto Tecnológico Agrario de Castilla y León, Valladolid, Spain.,Division of Microbiology, Department of Biotechnology and Food Science, Universidad de Burgos, Burgos, Spain
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29
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Forghani F, Li S, Zhang S, Mann DA, Deng X, den Bakker HC, Diez-Gonzalez F. Salmonella enterica and Escherichia coli in Wheat Flour: Detection and Serotyping by a Quasimetagenomic Approach Assisted by Magnetic Capture, Multiple-Displacement Amplification, and Real-Time Sequencing. Appl Environ Microbiol 2020; 86:e00097-20. [PMID: 32358002 PMCID: PMC7301854 DOI: 10.1128/aem.00097-20] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2020] [Accepted: 04/14/2020] [Indexed: 11/20/2022] Open
Abstract
Food safety is a new area for novel applications of metagenomics analysis, which not only can detect and subtype foodborne pathogens in a single workflow but may also produce additional information with in-depth analysis capabilities. In this study, we applied a quasimetagenomic approach by combining short-term enrichment, immunomagnetic separation (IMS), multiple-displacement amplification (MDA), and nanopore sequencing real-time analysis for simultaneous detection of Salmonella and Escherichia coli in wheat flour. Tryptic soy broth was selected for the 12-h enrichment of samples at 42°C. Enrichments were subjected to IMS using beads capable of capturing both Salmonella and E. coli MDA was performed on harvested beads, and amplified DNA fragments were subjected to DNA library preparation for sequencing. Sequencing was performed on a portable device with real-time basecalling adaptability, and resulting sequences were subjected to two parallel pipelines for further analysis. After 1 h of sequencing, the quasimetagenomic approach could detect all targets inoculated at approximately 1 CFU/g flour to the species level. Discriminatory power was determined by simultaneous detection of dual inoculums of Salmonella and E. coli, absence of detection in control samples, and consistency in microbial flora composition of the same flour samples over several rounds of experiments. The total turnaround time for detection was approximately 20 h. Longer sequencing for up to 15 h enabled serotyping for many of the samples with more than 99% genome coverage, which could be subjected to other appropriate genetic analysis pipelines in less than a total of 36 h.IMPORTANCE Enterohemorrhagic Escherichia coli (EHEC) and Salmonella are of serious concern in low-moisture foods, including wheat flour and its related products, causing illnesses, outbreaks, and recalls. The development of advanced detection methods based on molecular principles of analysis is essential to incorporate into interventions intended to reduce the risk from these pathogens. In this work, a quasimetagenomic method based on real-time sequencing analysis and assisted by magnetic capture and DNA amplification was developed. This protocol is capable of detecting multiple Salmonella and/or E. coli organisms in the sample within less than a day, and it can also generate sufficient whole-genome sequences of the target organisms suitable for subsequent bioinformatics analysis. Multiplex detection and identification were accomplished in less than 20 h and additional whole-genome analyses of different nature were attained within 36 h, in contrast to the several days required in previous sequencing pipelines.
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Affiliation(s)
- Fereidoun Forghani
- Center for Food Safety, College of Agricultural and Environmental Sciences, University of Georgia, Griffin, Georgia, USA
| | - Shaoting Li
- Center for Food Safety, College of Agricultural and Environmental Sciences, University of Georgia, Griffin, Georgia, USA
| | - Shaokang Zhang
- Center for Food Safety, College of Agricultural and Environmental Sciences, University of Georgia, Griffin, Georgia, USA
| | - David A Mann
- Center for Food Safety, College of Agricultural and Environmental Sciences, University of Georgia, Griffin, Georgia, USA
| | - Xiangyu Deng
- Center for Food Safety, College of Agricultural and Environmental Sciences, University of Georgia, Griffin, Georgia, USA
| | - Henk C den Bakker
- Center for Food Safety, College of Agricultural and Environmental Sciences, University of Georgia, Griffin, Georgia, USA
| | - Francisco Diez-Gonzalez
- Center for Food Safety, College of Agricultural and Environmental Sciences, University of Georgia, Griffin, Georgia, USA
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30
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Ogunremi D, Dupras AA, Naushad S, Gao R, Duceppe MO, Omidi K, Márquez IG, Huang H, Goodridge L, Lévesque RC, Hasan NA, Dadlani M, Dixon B, Magierowski S, Masson L. A New Whole Genome Culture-Independent Diagnostic Test (WG-CIDT) for Rapid Detection of Salmonella in Lettuce. Front Microbiol 2020; 11:602. [PMID: 32362880 PMCID: PMC7181323 DOI: 10.3389/fmicb.2020.00602] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2019] [Accepted: 03/18/2020] [Indexed: 11/13/2022] Open
Abstract
The rapid detection of foodborne microbial pathogens contaminating fresh fruits and vegetables during the intervening period between harvest and consumption could revolutionize microbial quality assurance of food usually consumed raw and those with a limited shelf life. We have developed a sensitive, shotgun whole genome sequencing protocol capable of detecting as few as 1 colony forming unit (cfu) of Salmonella enterica serovar Typhimurium spiked on 25 g of lettuce. The Ion Torrent sequencing platform was used to generate reads of globally amplified DNA from microbes recovered from the surface of lettuce followed by bioinformatic analyses of the nucleotide sequences to detect the presence of Salmonella. The test is rapid and sensitive, and appropriate for testing perishable foods, and those consumed raw, for Salmonella contamination. The test has the potential to be universally applicable to any microbial contaminant on lettuce as long as a suitable bioinformatics pipeline is available and validated. A universal test is expected to pave the way for preventive and precision food safety and the re-shaping of the entire spectrum of food safety investigations from the current disease-limiting, reactive procedure to a proactive, disease prevention process.
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Affiliation(s)
- Dele Ogunremi
- Ottawa Laboratory Fallowfield, Canadian Food Inspection Agency, Ottawa, ON, Canada
| | - Andrée Ann Dupras
- Ottawa Laboratory Fallowfield, Canadian Food Inspection Agency, Ottawa, ON, Canada
| | - Sohail Naushad
- Ottawa Laboratory Fallowfield, Canadian Food Inspection Agency, Ottawa, ON, Canada
| | - Ruimin Gao
- Ottawa Laboratory Fallowfield, Canadian Food Inspection Agency, Ottawa, ON, Canada.,Department of Food Science and Agricultural Chemistry, McGill University, Sainte-Anne-de-Bellevue, QC, Canada
| | - Marc-Olivier Duceppe
- Ottawa Laboratory Fallowfield, Canadian Food Inspection Agency, Ottawa, ON, Canada
| | - Katayoun Omidi
- Ottawa Laboratory Fallowfield, Canadian Food Inspection Agency, Ottawa, ON, Canada
| | | | - Hongsheng Huang
- Ottawa Laboratory Fallowfield, Canadian Food Inspection Agency, Ottawa, ON, Canada
| | - Lawrence Goodridge
- Department of Food Science and Agricultural Chemistry, McGill University, Sainte-Anne-de-Bellevue, QC, Canada
| | - Roger C Lévesque
- Institut de Biologie Intégrative et des Systèmes, Université Laval, Quebec City, QC, Canada
| | | | | | - Brent Dixon
- Bureau of Microbial Hazards, Food Directorate, Health Canada, Ottawa, ON, Canada
| | - Sebastian Magierowski
- Department of Electrical Engineering and Computer Science, York University, Toronto, ON, Canada
| | - Luke Masson
- National Research Council of Canada, Montreal, QC, Canada
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31
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Yang M, Cousineau A, Liu X, Luo Y, Sun D, Li S, Gu T, Sun L, Dillow H, Lepine J, Xu M, Zhang B. Direct Metatranscriptome RNA-seq and Multiplex RT-PCR Amplicon Sequencing on Nanopore MinION - Promising Strategies for Multiplex Identification of Viable Pathogens in Food. Front Microbiol 2020; 11:514. [PMID: 32328039 PMCID: PMC7160302 DOI: 10.3389/fmicb.2020.00514] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2019] [Accepted: 03/10/2020] [Indexed: 12/20/2022] Open
Abstract
Viable pathogenic bacteria are major biohazards that pose a significant threat to food safety. Despite the recent developments in detection platforms, multiplex identification of viable pathogens in food remains a major challenge. A novel strategy is developed through direct metatranscriptome RNA-seq and multiplex RT-PCR amplicon sequencing on Nanopore MinION to achieve real-time multiplex identification of viable pathogens in food. Specifically, this study reports an optimized universal Nanopore sample extraction and library preparation protocol applicable to both Gram-positive and Gram-negative pathogenic bacteria, demonstrated using a cocktail culture of E. coli O157:H7, Salmonella enteritidis, and Listeria monocytogenes, which were selected based on their impact on economic loss or prevalence in recent outbreaks. Further evaluation and validation confirmed the accuracy of direct metatranscriptome RNA-seq and multiplex RT-PCR amplicon sequencing using Sanger sequencing and selective media. The study also included a comparison of different bioinformatic pipelines for metatranscriptomic and amplicon genomic analysis. MEGAN without rRNA mapping showed the highest accuracy of multiplex identification using the metatranscriptomic data. EPI2ME also demonstrated high accuracy using multiplex RT-PCR amplicon sequencing. In addition, a systemic comparison was drawn between Nanopore sequencing of the direct metatranscriptome RNA-seq and RT-PCR amplicons. Both methods are comparable in accuracy and time. Nanopore sequencing of RT-PCR amplicons has higher sensitivity, but Nanopore metatranscriptome sequencing excels in read length and dealing with complex microbiome and non-bacterial transcriptome backgrounds.
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Affiliation(s)
- Manyun Yang
- Department of Biomedical and Nutritional Sciences, University of Massachusetts, Lowell, MA, United States
| | | | - Xiaobo Liu
- Department of Biomedical and Nutritional Sciences, University of Massachusetts, Lowell, MA, United States
| | - Yaguang Luo
- Agricultural Research Service, U.S. Department of Agriculture, Beltsville, MD, United States
| | - Daniel Sun
- New England Biolabs, Inc., Ipswich, MA, United States
- Department of Chemistry, Brandeis University, Waltham, MA, United States
| | - Shaohua Li
- New England Biolabs, Inc., Ipswich, MA, United States
- U.S. Food and Drug Administration, Silver Spring, MD, United States
| | - Tingting Gu
- Department of Biomedical and Nutritional Sciences, University of Massachusetts, Lowell, MA, United States
| | - Luo Sun
- New England Biolabs, Inc., Ipswich, MA, United States
| | - Hayden Dillow
- Department of Biomedical and Nutritional Sciences, University of Massachusetts, Lowell, MA, United States
| | - Jack Lepine
- Biomolecular Characterization Lab, University of Massachusetts Lowell, Lowell, MA, United States
| | - Mingqun Xu
- New England Biolabs, Inc., Ipswich, MA, United States
| | - Boce Zhang
- Department of Biomedical and Nutritional Sciences, University of Massachusetts, Lowell, MA, United States
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32
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Lewis E, Hudson JA, Cook N, Barnes JD, Haynes E. Next-generation sequencing as a screening tool for foodborne pathogens in fresh produce. J Microbiol Methods 2020; 171:105840. [PMID: 31945388 DOI: 10.1016/j.mimet.2020.105840] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2019] [Revised: 01/10/2020] [Accepted: 01/10/2020] [Indexed: 01/10/2023]
Abstract
Next generation sequencing (NGS) approaches are increasingly applied to tracing microbial contaminants entering the food chain due to NGS' untargeted nature and ability to investigate non-culturable (and/or difficult to culture) organisms while yielding genomic information about the microbiota. So far, a plethora of microbes has been shown to be associated with fresh produce, but few studies have utilised NGS to identify contamination with human pathogens. This study aims to establish the limit of detection (LoD) for Salmonella and phage MS2 (a Norovirus surrogate) contamination of fresh produce employing NGS approaches on the Illumina MiSeq: 16S amplicon-sequencing, and RNA-seq, using ScriptSeq (Illumina) and NEBNext (New England BioLabs) kits. ScriptSeq proved the most sensitive approach; delivering an LoD of 104 CFU reaction-1 (Colony Forming Units) for Salmonella and 105 PFU reaction-1 (Plaque Forming Units) for phage MS2. Use of the NEBNext kit resulted in detection of Salmonella at 106 CFU reaction-1 and phage MS2 at 107 PFU reaction-1. 16S amplicon-sequencing yielded a similar LoD of 105 CFU reaction-1 for Salmonella but could not detect MS2. The tested NGS methodologies, in combination with bioinformatics approaches applied, proved less sensitive than conventional microbial detection approaches.
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Affiliation(s)
- E Lewis
- IAFRI, Newcastle University, Newcastle upon Tyne, UK; Fera, National Agrifood Innovation Campus, Sand Hutton, York, UK.
| | | | - N Cook
- Jorvik Food Safety Services, York, UK
| | - J D Barnes
- IAFRI, Newcastle University, Newcastle upon Tyne, UK
| | - E Haynes
- Fera, National Agrifood Innovation Campus, Sand Hutton, York, UK
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33
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Sevim V, Lee J, Egan R, Clum A, Hundley H, Lee J, Everroad RC, Detweiler AM, Bebout BM, Pett-Ridge J, Göker M, Murray AE, Lindemann SR, Klenk HP, O'Malley R, Zane M, Cheng JF, Copeland A, Daum C, Singer E, Woyke T. Shotgun metagenome data of a defined mock community using Oxford Nanopore, PacBio and Illumina technologies. Sci Data 2019; 6:285. [PMID: 31772173 PMCID: PMC6879543 DOI: 10.1038/s41597-019-0287-z] [Citation(s) in RCA: 57] [Impact Index Per Article: 11.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2019] [Accepted: 10/31/2019] [Indexed: 11/17/2022] Open
Abstract
Metagenomic sequence data from defined mock communities is crucial for the assessment of sequencing platform performance and downstream analyses, including assembly, binning and taxonomic assignment. We report a comparison of shotgun metagenome sequencing and assembly metrics of a defined microbial mock community using the Oxford Nanopore Technologies (ONT) MinION, PacBio and Illumina sequencing platforms. Our synthetic microbial community BMock12 consists of 12 bacterial strains with genome sizes spanning 3.2–7.2 Mbp, 40–73% GC content, and 1.5–7.3% repeats. Size selection of both PacBio and ONT sequencing libraries prior to sequencing was essential to yield comparable relative abundances of organisms among all sequencing technologies. While the Illumina-based metagenome assembly yielded good coverage with few misassemblies, contiguity was greatly improved by both, Illumina + ONT and Illumina + PacBio hybrid assemblies but increased misassemblies, most notably in genomes with high sequence similarity to each other. Our resulting datasets allow evaluation and benchmarking of bioinformatics software on Illumina, PacBio and ONT platforms in parallel. Measurement(s) | metagenomic data • sequence_assembly | Technology Type(s) | ONT MinION • Illumina sequencing • PacBio RS II | Factor Type(s) | sequencing platform | Sample Characteristic - Organism | Bacteria | Sample Characteristic - Environment | mock community |
Machine-accessible metadata file describing the reported data: 10.6084/m9.figshare.10260740
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Affiliation(s)
- Volkan Sevim
- DOE Joint Genome Institute, 2800 Mitchell Drive, Walnut Creek, CA, 94598, USA
| | - Juna Lee
- DOE Joint Genome Institute, 2800 Mitchell Drive, Walnut Creek, CA, 94598, USA
| | - Robert Egan
- DOE Joint Genome Institute, 2800 Mitchell Drive, Walnut Creek, CA, 94598, USA
| | - Alicia Clum
- DOE Joint Genome Institute, 2800 Mitchell Drive, Walnut Creek, CA, 94598, USA
| | - Hope Hundley
- DOE Joint Genome Institute, 2800 Mitchell Drive, Walnut Creek, CA, 94598, USA
| | - Janey Lee
- DOE Joint Genome Institute, 2800 Mitchell Drive, Walnut Creek, CA, 94598, USA
| | - R Craig Everroad
- NASA Ames Research Center, Exobiology Branch, Moffett Field, CA, 94035, USA
| | - Angela M Detweiler
- NASA Ames Research Center, Exobiology Branch, Moffett Field, CA, 94035, USA.,Bay Area Environmental Research Institute, Moffett Field, CA, 94035, USA
| | - Brad M Bebout
- NASA Ames Research Center, Exobiology Branch, Moffett Field, CA, 94035, USA
| | - Jennifer Pett-Ridge
- Lawrence Livermore National Laboratory, Nuclear and Chemical Science Division, 7000 East Ave, Livermore, CA, 94550-9234, USA
| | - Markus Göker
- Leibniz-Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH, Inhoffenstraße 7B, 38124, Braunschweig, Germany
| | - Alison E Murray
- Desert Research Institute, Division of Earth and Ecosystem Sciences, 2215 Raggio Pkwy, Reno, NV, 89512, USA
| | | | - Hans-Peter Klenk
- Newcastle University, School of Natural and Environmental Sciences, Ridley Building 2, Newcastle upon Tyne, NE1 7RU, UK
| | - Ronan O'Malley
- DOE Joint Genome Institute, 2800 Mitchell Drive, Walnut Creek, CA, 94598, USA
| | - Matthew Zane
- DOE Joint Genome Institute, 2800 Mitchell Drive, Walnut Creek, CA, 94598, USA
| | - Jan-Fang Cheng
- DOE Joint Genome Institute, 2800 Mitchell Drive, Walnut Creek, CA, 94598, USA
| | - Alex Copeland
- DOE Joint Genome Institute, 2800 Mitchell Drive, Walnut Creek, CA, 94598, USA
| | - Christopher Daum
- DOE Joint Genome Institute, 2800 Mitchell Drive, Walnut Creek, CA, 94598, USA
| | - Esther Singer
- DOE Joint Genome Institute, 2800 Mitchell Drive, Walnut Creek, CA, 94598, USA. .,Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, CA, 94720, USA.
| | - Tanja Woyke
- DOE Joint Genome Institute, 2800 Mitchell Drive, Walnut Creek, CA, 94598, USA.
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34
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Quijada NM, Hernández M, Rodríguez-Lázaro D. High-throughput sequencing and food microbiology. ADVANCES IN FOOD AND NUTRITION RESEARCH 2019; 91:275-300. [PMID: 32035598 DOI: 10.1016/bs.afnr.2019.10.003] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Massive parallel sequencing (High-Throughput Sequencing, HTS) permits reading of sequenced millions to billions short DNAs in parallel (reads) and is revolutionizing microbiology and food safety research from the laboratory methods to computational analysis, with the inevitable use of Bioinformatics. The time and cost reduction of microbiota, microbiome and metagenome studies allows the rapid progress in diagnosis, taxonomy, epidemiology, comparative genomics, virulence, discovery of genes or variants of interest and the association of microorganisms with food spoilage and foodborne infections.
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Affiliation(s)
- Narciso M Quijada
- Laboratorio de Biología Molecular y Microbiología, Ibstituto tecnológico Agrario de Castilla y León (ITACyL), Valladolid, Spain
| | - Marta Hernández
- Laboratorio de Biología Molecular y Microbiología, Ibstituto tecnológico Agrario de Castilla y León (ITACyL), Valladolid, Spain; Microbiology Division, Department of Biotechnology and Food Science, Faculty of Sciences, University of Burgos, Burgos, Spain
| | - David Rodríguez-Lázaro
- Microbiology Division, Department of Biotechnology and Food Science, Faculty of Sciences, University of Burgos, Burgos, Spain.
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35
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SeqSero2: Rapid and Improved Salmonella Serotype Determination Using Whole-Genome Sequencing Data. Appl Environ Microbiol 2019; 85:AEM.01746-19. [PMID: 31540993 DOI: 10.1128/aem.01746-19] [Citation(s) in RCA: 166] [Impact Index Per Article: 33.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2019] [Accepted: 09/17/2019] [Indexed: 11/20/2022] Open
Abstract
SeqSero, launched in 2015, is a software tool for Salmonella serotype determination from whole-genome sequencing (WGS) data. Despite its routine use in public health and food safety laboratories in the United States and other countries, the original SeqSero pipeline is relatively slow (minutes per genome using sequencing reads), is not optimized for draft genome assemblies, and may assign multiple serotypes for a strain. Here, we present SeqSero2 (github.com/denglab/SeqSero2; denglab.info/SeqSero2), an algorithmic transformation and functional update of the original SeqSero. Major improvements include (i) additional sequence markers for identification of Salmonella species and subspecies and certain serotypes, (ii) a k-mer based algorithm for rapid serotype prediction from raw reads (seconds per genome) and improved serotype prediction from assemblies, and (iii) a targeted assembly approach for specific retrieval of serotype determinants from WGS for serotype prediction, new allele discovery, and prediction troubleshooting. Evaluated using 5,794 genomes representing 364 common U.S. serotypes, including 2,280 human isolates of 117 serotypes from the National Antimicrobial Resistance Monitoring System, SeqSero2 is up to 50 times faster than the original SeqSero while maintaining equivalent accuracy for raw reads and substantially improving accuracy for assemblies. SeqSero2 further suggested that 3% of the tested genomes contained reads from multiple serotypes, indicating a use for contamination detection. In addition to short reads, SeqSero2 demonstrated potential for accurate and rapid serotype prediction directly from long nanopore reads despite base call errors. Testing of 40 nanopore-sequenced genomes of 17 serotypes yielded a single H antigen misidentification.IMPORTANCE Serotyping is the basis of public health surveillance of Salmonella It remains a first-line subtyping method even as surveillance continues to be transformed by whole-genome sequencing. SeqSero allows the integration of Salmonella serotyping into a whole-genome-sequencing-based laboratory workflow while maintaining continuity with the classic serotyping scheme. SeqSero2, informed by extensive testing and application of SeqSero in the United States and other countries, incorporates important improvements and updates that further strengthen its application in routine and large-scale surveillance of Salmonella by whole-genome sequencing.
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36
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Han D, Li Z, Li R, Tan P, Zhang R, Li J. mNGS in clinical microbiology laboratories: on the road to maturity. Crit Rev Microbiol 2019; 45:668-685. [PMID: 31691607 DOI: 10.1080/1040841x.2019.1681933] [Citation(s) in RCA: 160] [Impact Index Per Article: 32.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Metagenomic next-generation sequencing (mNGS) is increasingly being applied in clinical laboratories for unbiased culture-independent diagnosis. Whether it can be a next routine pathogen identification tool has become a topic of concern. We review the current implementation of this new technology for infectious disease diagnostics and discuss the feasibility of transforming mNGS into a routine diagnostic test. Since 2008, numerous studies from over 20 countries have revealed the practicality of mNGS in the work-up of undiagnosed infectious diseases. mNGS performs well in identifying rare, novel, difficult-to-detect and coinfected pathogens directly from clinical samples and presents great potential in resistance prediction by sequencing the antibiotic resistance genes, providing new diagnostic evidence that can be used to guide treatment options and improve antibiotic stewardship. Many physicians recognized mNGS as a last resort method to address clinical infection problems. Although several hurdles, such as workflow validation, quality control, method standardisation, and data interpretation, remain before mNGS can be implemented routinely in clinical laboratories, they are temporary and can be overcome by rapidly evolving technologies. With more validated workflows, lower cost and turnaround time, and simplified interpretation criteria, mNGS will be widely accepted in clinical practice. Overall, mNGS is transforming the landscape of clinical microbiology laboratories, and to ensure that it is properly utilised in clinical diagnosis, both physicians and microbiologists should have a thorough understanding of the power and limitations of this method.
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Affiliation(s)
- Dongsheng Han
- National Center for Clinical Laboratories, Beijing Hospital, National Center of Gerontology, Beijing, People's Republic of China.,Graduate School, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, People's Republic of China.,Beijing Engineering Research Center of Laboratory Medicine, Beijing Hospital, Beijing, People's Republic of China
| | - Ziyang Li
- National Center for Clinical Laboratories, Beijing Hospital, National Center of Gerontology, Beijing, People's Republic of China.,Graduate School, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, People's Republic of China.,Beijing Engineering Research Center of Laboratory Medicine, Beijing Hospital, Beijing, People's Republic of China
| | - Rui Li
- National Center for Clinical Laboratories, Beijing Hospital, National Center of Gerontology, Beijing, People's Republic of China.,Graduate School, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, People's Republic of China.,Beijing Engineering Research Center of Laboratory Medicine, Beijing Hospital, Beijing, People's Republic of China
| | - Ping Tan
- National Center for Clinical Laboratories, Beijing Hospital, National Center of Gerontology, Beijing, People's Republic of China.,Graduate School, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, People's Republic of China.,Beijing Engineering Research Center of Laboratory Medicine, Beijing Hospital, Beijing, People's Republic of China
| | - Rui Zhang
- National Center for Clinical Laboratories, Beijing Hospital, National Center of Gerontology, Beijing, People's Republic of China.,Beijing Engineering Research Center of Laboratory Medicine, Beijing Hospital, Beijing, People's Republic of China
| | - Jinming Li
- National Center for Clinical Laboratories, Beijing Hospital, National Center of Gerontology, Beijing, People's Republic of China.,Graduate School, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, People's Republic of China.,Beijing Engineering Research Center of Laboratory Medicine, Beijing Hospital, Beijing, People's Republic of China
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37
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Edwards HS, Krishnakumar R, Sinha A, Bird SW, Patel KD, Bartsch MS. Real-Time Selective Sequencing with RUBRIC: Read Until with Basecall and Reference-Informed Criteria. Sci Rep 2019; 9:11475. [PMID: 31391493 PMCID: PMC6685950 DOI: 10.1038/s41598-019-47857-3] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2019] [Accepted: 07/09/2019] [Indexed: 12/12/2022] Open
Abstract
The Oxford MinION, the first commercial nanopore sequencer, is also the first to implement molecule-by-molecule real-time selective sequencing or “Read Until”. As DNA transits a MinION nanopore, real-time pore current data can be accessed and analyzed to provide active feedback to that pore. Fragments of interest are sequenced by default, while DNA deemed non-informative is rejected by reversing the pore bias to eject the strand, providing a novel means of background depletion and/or target enrichment. In contrast to the previously published pattern-matching Read Until approach, our RUBRIC method is the first example of real-time selective sequencing where on-line basecalling enables alignment against conventional nucleic acid references to provide the basis for sequence/reject decisions. We evaluate RUBRIC performance across a range of optimizable parameters, apply it to mixed human/bacteria and CRISPR/Cas9-cut samples, and present a generalized model for estimating real-time selection performance as a function of sample composition and computing configuration.
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Affiliation(s)
- Harrison S Edwards
- Exploratory Systems Dept., Sandia National Laboratories, Livermore, CA, USA.,Institute of Biomaterials and Biomedical Engineering, University of Toronto, Toronto, Canada
| | - Raga Krishnakumar
- Systems Biology Dept., Sandia National Laboratories, Livermore, CA, USA
| | - Anupama Sinha
- Systems Biology Dept., Sandia National Laboratories, Livermore, CA, USA
| | - Sara W Bird
- Biotechnology & Bioengineering Dept., Sandia National Laboratories, Livermore, CA, USA.,uBiome, San Francisco, CA, USA
| | - Kamlesh D Patel
- Exploratory Systems Dept., Sandia National Laboratories, Livermore, CA, USA.,Purdue Partnerships Dept., Sandia National Laboratories, Albuquerque, NM, USA
| | - Michael S Bartsch
- Exploratory Systems Dept., Sandia National Laboratories, Livermore, CA, USA.
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Abstract
The implementation of whole-genome sequencing in food safety has revolutionized foodborne pathogen tracking and outbreak investigations. The vast amounts of genomic data that are being produced through ongoing surveillance efforts continue advancing our understanding of pathogen diversity and genome biology. Produced genomic data are also supporting the use of metagenomics and metatranscriptomics for detection and functional characterization of microbiological hazards in foods and food processing environments. In addition to that, many studies have shown that metabolic and pathogenic potential, antimicrobial resistance, and other phenotypes relevant to food safety can be predicted from whole-genome sequences, omitting the need for multiple laboratory tests. Nevertheless, further work in the area of functional inference is necessary to enable accurate interpretation of functional information inferred from genomic and metagenomic data, as well as real-time detection and tracking of high-risk pathogen subtypes and microbiomes.
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39
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Arango-Argoty GA, Dai D, Pruden A, Vikesland P, Heath LS, Zhang L. NanoARG: a web service for detecting and contextualizing antimicrobial resistance genes from nanopore-derived metagenomes. MICROBIOME 2019; 7:88. [PMID: 31174603 PMCID: PMC6555988 DOI: 10.1186/s40168-019-0703-9] [Citation(s) in RCA: 54] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/22/2019] [Accepted: 05/28/2019] [Indexed: 05/21/2023]
Abstract
BACKGROUND Direct and indirect selection pressures imposed by antibiotics and co-selective agents and horizontal gene transfer are fundamental drivers of the evolution and spread of antibiotic resistance. Therefore, effective environmental monitoring tools should ideally capture not only antibiotic resistance genes (ARGs), but also mobile genetic elements (MGEs) and indicators of co-selective forces, such as metal resistance genes (MRGs). A major challenge towards characterizing the potential human health risk of antibiotic resistance is the ability to identify ARG-carrying microorganisms, of which human pathogens are arguably of greatest risk. Historically, short reads produced by next-generation sequencing technologies have hampered confidence in assemblies for achieving these purposes. RESULTS Here, we introduce NanoARG, an online computational resource that takes advantage of the long reads produced by nanopore sequencing technology. Specifically, long nanopore reads enable identification of ARGs in the context of relevant neighboring genes, thus providing valuable insight into mobility, co-selection, and pathogenicity. NanoARG was applied to study a variety of nanopore sequencing data to demonstrate its functionality. NanoARG was further validated through characterizing its ability to correctly identify ARGs in sequences of varying lengths and a range of sequencing error rates. CONCLUSIONS NanoARG allows users to upload sequence data online and provides various means to analyze and visualize the data, including quantitative and simultaneous profiling of ARGs, MRGs, MGEs, and putative pathogens. A user-friendly interface allows users the analysis of long DNA sequences (including assembled contigs), facilitating data processing, analysis, and visualization. NanoARG is publicly available and freely accessible at https://bench.cs.vt.edu/nanoarg .
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Affiliation(s)
| | - D. Dai
- Department of Civil and Environmental Engineering, Virginia Tech, Blacksburg, VA USA
| | - A. Pruden
- Department of Civil and Environmental Engineering, Virginia Tech, Blacksburg, VA USA
| | - P. Vikesland
- Department of Civil and Environmental Engineering, Virginia Tech, Blacksburg, VA USA
| | - L. S. Heath
- Department of Computer Science, Virginia Tech, Blacksburg, VA USA
| | - L. Zhang
- Department of Computer Science, Virginia Tech, Blacksburg, VA USA
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40
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Carleton HA, Besser J, Williams-Newkirk AJ, Huang A, Trees E, Gerner-Smidt P. Metagenomic Approaches for Public Health Surveillance of Foodborne Infections: Opportunities and Challenges. Foodborne Pathog Dis 2019; 16:474-479. [PMID: 31170005 PMCID: PMC6653786 DOI: 10.1089/fpd.2019.2636] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
Foodborne disease surveillance in the United States is at a critical point. Clinical and diagnostic laboratories are using culture-independent diagnostic tests (CIDTs) to identify the pathogen causing foodborne illness from patient specimens. CIDTs are molecular tests that allow doctors to rapidly identify the bacteria causing illness within hours. CIDTs, unlike previous gold standard methods such as bacterial culture, do not produce an isolate that can be subtyped as part of the national molecular subtyping network for foodborne disease surveillance, PulseNet. Without subtype information, cases can no longer be linked using molecular data to identify potentially related cases that are part of an outbreak. In this review, we discuss the public health needs for a molecular subtyping approach directly from patient specimen and highlight different approaches, including amplicon and shotgun metagenomic sequencing.
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Affiliation(s)
- Heather A Carleton
- Enteric Diseases Laboratory Branch, Division of Foodborne, Waterborne and Environmental Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - John Besser
- Enteric Diseases Laboratory Branch, Division of Foodborne, Waterborne and Environmental Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Amanda J Williams-Newkirk
- Enteric Diseases Laboratory Branch, Division of Foodborne, Waterborne and Environmental Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Andrew Huang
- Enteric Diseases Laboratory Branch, Division of Foodborne, Waterborne and Environmental Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Eija Trees
- Enteric Diseases Laboratory Branch, Division of Foodborne, Waterborne and Environmental Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Peter Gerner-Smidt
- Enteric Diseases Laboratory Branch, Division of Foodborne, Waterborne and Environmental Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia
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41
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Exploring Foodborne Pathogen Ecology and Antimicrobial Resistance in the Light of Shotgun Metagenomics. METHODS IN MOLECULAR BIOLOGY (CLIFTON, N.J.) 2018; 1918:229-245. [PMID: 30580413 DOI: 10.1007/978-1-4939-9000-9_19] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
Abstract
In this chapter, applications of shotgun metagenomics for taxonomic profiling and functional investigation of food microbial communities with a focus on antimicrobial resistance (AMR) were overviewed in the light of last data in the field. Potentialities of metagenomic approach, along with the challenges encountered for a wider and routinely use in food safety was discussed.
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42
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Hyeon JY, Mann DA, Townsend AM, Deng X. Quasi-metagenomic Analysis of Salmonella from Food and Environmental Samples. J Vis Exp 2018. [PMID: 30417889 DOI: 10.3791/58612] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/31/2022] Open
Abstract
Quasi-metagenomics sequencing refers to the sequencing-based analysis of modified microbiomes of food and environmental samples. In this protocol, microbiome modification is designed to concentrate genomic DNA of a target foodborne pathogen contaminant to facilitate the detection and subtyping of the pathogen in a single workflow. Here, we explain and demonstrate the sample preparation steps for the quasi-metagenomics analysis of Salmonella enterica from representative food and environmental samples including alfalfa sprouts, ground black pepper, ground beef, chicken breast and environmental swabs. Samples are first subjected to the culture enrichment of Salmonella for a shortened and adjustable duration (4-24 h). Salmonella cells are then selectively captured from the enrichment culture by immunomagnetic separation (IMS). Finally, multiple displacement amplification (MDA) is performed to amplify DNA from IMS-captured cells. The DNA output of this protocol can be sequenced by high throughput sequencing platforms. An optional quantitative PCR analysis can be performed to replace sequencing for Salmonella detection or assess the concentration of Salmonella DNA before sequencing.
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43
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Oniciuc EA, Likotrafiti E, Alvarez-Molina A, Prieto M, Santos JA, Alvarez-Ordóñez A. The Present and Future of Whole Genome Sequencing (WGS) and Whole Metagenome Sequencing (WMS) for Surveillance of Antimicrobial Resistant Microorganisms and Antimicrobial Resistance Genes across the Food Chain. Genes (Basel) 2018; 9:E268. [PMID: 29789467 PMCID: PMC5977208 DOI: 10.3390/genes9050268] [Citation(s) in RCA: 68] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2018] [Revised: 05/14/2018] [Accepted: 05/15/2018] [Indexed: 12/21/2022] Open
Abstract
Antimicrobial resistance (AMR) surveillance is a critical step within risk assessment schemes, as it is the basis for informing global strategies, monitoring the effectiveness of public health interventions, and detecting new trends and emerging threats linked to food. Surveillance of AMR is currently based on the isolation of indicator microorganisms and the phenotypic characterization of clinical, environmental and food strains isolated. However, this approach provides very limited information on the mechanisms driving AMR or on the presence or spread of AMR genes throughout the food chain. Whole-genome sequencing (WGS) of bacterial pathogens has shown potential for epidemiological surveillance, outbreak detection, and infection control. In addition, whole metagenome sequencing (WMS) allows for the culture-independent analysis of complex microbial communities, providing useful information on AMR genes occurrence. Both technologies can assist the tracking of AMR genes and mobile genetic elements, providing the necessary information for the implementation of quantitative risk assessments and allowing for the identification of hotspots and routes of transmission of AMR across the food chain. This review article summarizes the information currently available on the use of WGS and WMS for surveillance of AMR in foodborne pathogenic bacteria and food-related samples and discusses future needs that will have to be considered for the routine implementation of these next-generation sequencing methodologies with this aim. In particular, methodological constraints that impede the use at a global scale of these high-throughput sequencing (HTS) technologies are identified, and the standardization of methods and protocols is suggested as a measure to upgrade HTS-based AMR surveillance schemes.
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Affiliation(s)
- Elena A Oniciuc
- Faculty of Food Science and Engineering, Dunarea de Jos University of Galati, Galati 800008, Romania.
| | - Eleni Likotrafiti
- Laboratory of Food Microbiology, Department of Food Technology, Alexander Technological Educational Institute of Thessaloniki, Thessaloniki T.K. 57400, Greece.
| | - Adrián Alvarez-Molina
- Department of Food Hygiene and Technology and Institute of Food Science and Technology, Universidad de León, 24071 León, Spain.
| | - Miguel Prieto
- Department of Food Hygiene and Technology and Institute of Food Science and Technology, Universidad de León, 24071 León, Spain.
| | - Jesús A Santos
- Department of Food Hygiene and Technology and Institute of Food Science and Technology, Universidad de León, 24071 León, Spain.
| | - Avelino Alvarez-Ordóñez
- Department of Food Hygiene and Technology and Institute of Food Science and Technology, Universidad de León, 24071 León, Spain.
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