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Si W, Chen W, Chen B, Zhou Y, Zhang H. Detection value of third-generation sequencing to identify the pathogenic organisms in prosthetic joint infection. Diagn Microbiol Infect Dis 2024; 109:116319. [PMID: 38669776 DOI: 10.1016/j.diagmicrobio.2024.116319] [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: 01/05/2024] [Revised: 04/03/2024] [Accepted: 04/18/2024] [Indexed: 04/28/2024]
Abstract
To compare the detection value of third-generation sequencing (TGS) with pathogenic microbial culture in prosthetic joint infection (PJI). Arthrocentesis was performed on 29 patients who underwent hip and knee revision surgeries. In the PJI group, TGS detected 85.71 % of positive cases, while pathogenic microbial culture detected only 42.85 %. TGS identified 17 different pathogenic microorganisms, including Staphylococcus epidermidis, Staphylococcus aureus, Streptococcus lactis, and Mycobacterium tuberculosis complex. In the loosening group, TGS was positive in one patient, while microbial culture was negative in all cases. TGS showed higher sensitivity (85.71 % vs. 42.85 %), comparable specificity (93.33 % vs. 100 %), and similar positive predictive value (92.31 % vs. 100 %) compared to culture.However, TGS had a higher negative predictive value (87.5 % vs. 65.22 %).Additionally, TGS provided faster results (mean time 23.8±3.6 h) compared to microbial culture (mean time 108.0±9.4 h).These findings suggest that TGS holds promise for detecting pathogenic microorganisms in PJI and has potential for clinical application.
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Affiliation(s)
- Wenteng Si
- Zhengzhou Orthopaedic Hospital of Joint Surgery, Zhengzhou 450052, China
| | - Wenzhong Chen
- Zhengzhou Orthopaedic Hospital of Joint Surgery, Zhengzhou 450052, China
| | - Bin Chen
- Zhengzhou Orthopaedic Hospital of Joint Surgery, Zhengzhou 450052, China
| | - Yu Zhou
- Zhengzhou Orthopaedic Hospital of Joint Surgery, Zhengzhou 450052, China
| | - Huaguo Zhang
- Department of Nursing, Beijing Shijitan Hospital, Capital Medical University, Beijing 100038, China.
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2
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Lou EG, Fu Y, Wang Q, Treangen TJ, Stadler LB. Sensitivity and consistency of long- and short-read metagenomics and epicPCR for the detection of antibiotic resistance genes and their bacterial hosts in wastewater. JOURNAL OF HAZARDOUS MATERIALS 2024; 469:133939. [PMID: 38490149 DOI: 10.1016/j.jhazmat.2024.133939] [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: 07/27/2023] [Revised: 02/12/2024] [Accepted: 02/29/2024] [Indexed: 03/17/2024]
Abstract
Wastewater surveillance is a powerful tool to assess the risks associated with antibiotic resistance in communities. One challenge is selecting which analytical tool to deploy to measure risk indicators, such as antibiotic resistance genes (ARGs) and their respective bacterial hosts. Although metagenomics is frequently used for analyzing ARGs, few studies have compared the performance of long-read and short-read metagenomics in identifying which bacteria harbor ARGs in wastewater. Furthermore, for ARG host detection, untargeted metagenomics has not been compared to targeted methods such as epicPCR. Here, we 1) evaluated long-read and short-read metagenomics as well as epicPCR for detecting ARG hosts in wastewater, and 2) investigated the host range of ARGs across the wastewater treatment plant (WWTP) to evaluate host proliferation. Results highlighted long-read revealed a wider range of ARG hosts compared to short-read metagenomics. Nonetheless, the ARG host range detected by long-read metagenomics only represented a subset of the hosts detected by epicPCR. The ARG-host linkages across the influent and effluent of the WWTP were characterized. Results showed the ARG-host phylum linkages were relatively consistent across the WWTP, whereas new ARG-host species linkages appeared in the WWTP effluent. The ARG-host linkages of several clinically relevant species found in the effluent were identified.
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Affiliation(s)
- Esther G Lou
- Department of Civil and Environmental Engineering, Rice University, 6100 Main Street, Houston, TX 77005, USA
| | - Yilei Fu
- Department of Computer Science, Rice University, 6100 Main Street, Houston, TX 77005, USA
| | - Qi Wang
- Department of Computer Science, Rice University, 6100 Main Street, Houston, TX 77005, USA
| | - Todd J Treangen
- Department of Computer Science, Rice University, 6100 Main Street, Houston, TX 77005, USA
| | - Lauren B Stadler
- Department of Civil and Environmental Engineering, Rice University, 6100 Main Street, Houston, TX 77005, USA.
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3
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Hu K, Meyer F, Deng ZL, Asgari E, Kuo TH, Münch PC, McHardy AC. Assessing computational predictions of antimicrobial resistance phenotypes from microbial genomes. Brief Bioinform 2024; 25:bbae206. [PMID: 38706320 PMCID: PMC11070729 DOI: 10.1093/bib/bbae206] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2023] [Revised: 04/08/2024] [Accepted: 04/11/2024] [Indexed: 05/07/2024] Open
Abstract
The advent of rapid whole-genome sequencing has created new opportunities for computational prediction of antimicrobial resistance (AMR) phenotypes from genomic data. Both rule-based and machine learning (ML) approaches have been explored for this task, but systematic benchmarking is still needed. Here, we evaluated four state-of-the-art ML methods (Kover, PhenotypeSeeker, Seq2Geno2Pheno and Aytan-Aktug), an ML baseline and the rule-based ResFinder by training and testing each of them across 78 species-antibiotic datasets, using a rigorous benchmarking workflow that integrates three evaluation approaches, each paired with three distinct sample splitting methods. Our analysis revealed considerable variation in the performance across techniques and datasets. Whereas ML methods generally excelled for closely related strains, ResFinder excelled for handling divergent genomes. Overall, Kover most frequently ranked top among the ML approaches, followed by PhenotypeSeeker and Seq2Geno2Pheno. AMR phenotypes for antibiotic classes such as macrolides and sulfonamides were predicted with the highest accuracies. The quality of predictions varied substantially across species-antibiotic combinations, particularly for beta-lactams; across species, resistance phenotyping of the beta-lactams compound, aztreonam, amoxicillin/clavulanic acid, cefoxitin, ceftazidime and piperacillin/tazobactam, alongside tetracyclines demonstrated more variable performance than the other benchmarked antibiotics. By organism, Campylobacter jejuni and Enterococcus faecium phenotypes were more robustly predicted than those of Escherichia coli, Staphylococcus aureus, Salmonella enterica, Neisseria gonorrhoeae, Klebsiella pneumoniae, Pseudomonas aeruginosa, Acinetobacter baumannii, Streptococcus pneumoniae and Mycobacterium tuberculosis. In addition, our study provides software recommendations for each species-antibiotic combination. It furthermore highlights the need for optimization for robust clinical applications, particularly for strains that diverge substantially from those used for training.
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Affiliation(s)
- Kaixin Hu
- Computational Biology of Infection Research, Helmholtz Center for Infection Research, Braunschweig, Germany
- Braunschweig Integrated Centre of Systems Biology (BRICS), Technische Universität Braunschweig, Braunschweig, Germany
| | - Fernando Meyer
- Computational Biology of Infection Research, Helmholtz Center for Infection Research, Braunschweig, Germany
- Braunschweig Integrated Centre of Systems Biology (BRICS), Technische Universität Braunschweig, Braunschweig, Germany
| | - Zhi-Luo Deng
- Computational Biology of Infection Research, Helmholtz Center for Infection Research, Braunschweig, Germany
- Braunschweig Integrated Centre of Systems Biology (BRICS), Technische Universität Braunschweig, Braunschweig, Germany
| | - Ehsaneddin Asgari
- Computational Biology of Infection Research, Helmholtz Center for Infection Research, Braunschweig, Germany
- Molecular Cell Biomechanics Laboratory, Department of Bioengineering and Mechanical Engineering, University of California, Berkeley, USA
| | - Tzu-Hao Kuo
- Computational Biology of Infection Research, Helmholtz Center for Infection Research, Braunschweig, Germany
- Braunschweig Integrated Centre of Systems Biology (BRICS), Technische Universität Braunschweig, Braunschweig, Germany
| | - Philipp C Münch
- Computational Biology of Infection Research, Helmholtz Center for Infection Research, Braunschweig, Germany
- Braunschweig Integrated Centre of Systems Biology (BRICS), Technische Universität Braunschweig, Braunschweig, Germany
- Cluster of Excellence RESIST (EXC 2155), Hannover Medical School, Hannover, Germany
- German Center for Infection Research (DZIF), partner site Hannover Braunschweig, Braunschweig, Germany
- Department of Biostatistics, Harvard School of Public Health, Boston, MA, USA
| | - Alice C McHardy
- Computational Biology of Infection Research, Helmholtz Center for Infection Research, Braunschweig, Germany
- Braunschweig Integrated Centre of Systems Biology (BRICS), Technische Universität Braunschweig, Braunschweig, Germany
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4
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Dorey A, Howorka S. Nanopore DNA sequencing technologies and their applications towards single-molecule proteomics. Nat Chem 2024; 16:314-334. [PMID: 38448507 DOI: 10.1038/s41557-023-01322-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2022] [Accepted: 07/14/2023] [Indexed: 03/08/2024]
Abstract
Sequencing of nucleic acids with nanopores has emerged as a powerful tool offering rapid readout, high accuracy, low cost and portability. This label-free method for sequencing at the single-molecule level is an achievement on its own. However, nanopores also show promise for the technologically even more challenging sequencing of polypeptides, something that could considerably benefit biological discovery, clinical diagnostics and homeland security, as current techniques lack portability and speed. Here we survey the biochemical innovations underpinning commercial and academic nanopore DNA/RNA sequencing techniques, and explore how these advances can fuel developments in future protein sequencing with nanopores.
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Affiliation(s)
- Adam Dorey
- Department of Chemistry & Institute of Structural Molecular Biology, University College London, London, UK.
| | - Stefan Howorka
- Department of Chemistry & Institute of Structural Molecular Biology, University College London, London, UK.
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5
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Bertolo A, Valido E, Stoyanov J. Optimized bacterial community characterization through full-length 16S rRNA gene sequencing utilizing MinION nanopore technology. BMC Microbiol 2024; 24:58. [PMID: 38365589 PMCID: PMC10870487 DOI: 10.1186/s12866-024-03208-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Accepted: 01/28/2024] [Indexed: 02/18/2024] Open
Abstract
BACKGROUND Accurate identification of bacterial communities is crucial for research applications, diagnostics, and clinical interventions. Although 16S ribosomal RNA (rRNA) gene sequencing is a widely employed technique for bacterial taxonomic classification, it often results in misclassified or unclassified bacterial taxa. This study sought to refine the full-length 16S rRNA gene sequencing protocol using the MinION sequencer, focusing on the V1-V9 regions. Our methodological enquiry examined several factors, including the number of PCR amplification cycles, choice of primers and Taq polymerase, and specific sequence databases and workflows employed. We used a microbial standard comprising eight bacterial strains (five gram-positive and three gram-negative) in known proportions as a validation control. RESULTS Based on the MinION protocol, we employed the microbial standard as the DNA template for the 16S rRNA gene amplicon sequencing procedure. Our analysis showed that an elevated number of PCR amplification cycles introduced PCR bias, and the selection of Taq polymerase and primer sets significantly affected the subsequent analysis. Bacterial identification at genus level demonstrated Pearson correlation coefficients ranging from 0.73 to 0.79 when assessed using BugSeq, Kraken-Silva and EPI2ME-16S workflows. Notably, the EPI2ME-16S workflow exhibited the highest Pearson correlation with the microbial standard, minimised misclassification, and increased alignment accuracy. At the species taxonomic level, the BugSeq workflow was superior, with a Pearson correlation coefficient of 0.92. CONCLUSIONS These findings emphasise the importance of careful selection of PCR settings and a well-structured analytical framework for 16S rRNA full-length gene sequencing. The results showed a robust correlation between the predicted and observed bacterial abundances at both the genus and species taxonomic levels, making these findings applicable across diverse research contexts and with clinical utility for reliable pathogen identification.
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Affiliation(s)
- Alessandro Bertolo
- SCI Population Biobanking & Translational Research Group, Swiss Paraplegic Research, Nottwil, Switzerland
- Department of Orthopaedic Surgery, University of Bern, Bern Inselspital, Bern, Switzerland
| | - Ezra Valido
- SCI Population Biobanking & Translational Research Group, Swiss Paraplegic Research, Nottwil, Switzerland
| | - Jivko Stoyanov
- SCI Population Biobanking & Translational Research Group, Swiss Paraplegic Research, Nottwil, Switzerland.
- Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland.
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6
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Zhou DT, Mudhluli TE, Hall LJ, Manasa J, Munyati S. A Scoping Review of Gut Microbiome and Bifidobacterium Research in Zimbabwe: Implications for Future Studies. Pediatric Health Med Ther 2023; 14:483-496. [PMID: 38145055 PMCID: PMC10743709 DOI: 10.2147/phmt.s414766] [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: 04/18/2023] [Accepted: 10/13/2023] [Indexed: 12/26/2023] Open
Abstract
Background Gut microbiota play a key role in host health, with certain Bifidobacterium strains critical for immune development. The healthy gut of breastfed infants is dominated by these pioneer microbes, especially the strains that feed on human milk oligosaccharides. Objective This is a scoping review of gut microbiome research from Zimbabwe. It focuses on distribution and dynamic changes of bifidobacteria, and milk components that promote growth of microbes in infants, together with the distribution of associated gut microbes in adults. Design Online databases were searched for publications from 2000 to 2023. Results and Analysis Fourteen publications on microbiota of infants and adults were included in this scoping review. Most were cross-sectional, while three were clinical trials/cohort protocols. Publications focused on pediatrics (78.5%), pregnant women (14.3%), and men (7.2%). Zimbabwe has a high burden of HIV; hence 35.7% of study populations were delineated by HIV status. The laboratory methods used included shotgun metagenomics (62%) or 16S rRNA gene amplicon sequencing. Almost 85% of the studies focused on total microbiome profiles and rarely reported the distribution of different Bifidobacterium species and variants. None of the papers studied human breast milk composition. There were reports of reduced abundance of beneficial genera in pregnant women, children, and adolescents living with HIV. Additionally, gut microbiota was reported to be poorly predictive of child growth and vaccine response, though this was not conclusive. Conclusion There are few studies that characterize the gut microbiome by Zimbabwe-based researchers. However, studies on strain level diversity of Bifidobacterium and other key microbes, and their role in health during and beyond infancy, lag behind in Zimbabwe and other low- and middle-income countries. Such cohorts are needed to inform future mechanistic studies and downstream translational work such as next-generation probiotics and prebiotics.
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Affiliation(s)
- Danai T Zhou
- Department of Laboratory Diagnostic and Investigative Sciences, University of Zimbabwe, Harare, Zimbabwe
| | - Taona E Mudhluli
- Department of Laboratory Diagnostic and Investigative Sciences, University of Zimbabwe, Harare, Zimbabwe
- Department of Biochemistry, Midlands State University, Gweru, Zimbabwe
| | - Lindsay J Hall
- Gut Microbes & Health, Quadram Institute Bioscience, Norwich, UK
- Norwich Medical School, University of East Anglia, Norwich, UK
- Intestinal Microbiome, Technical University of Munich, Freising, Germany
| | - Justen Manasa
- Department of Laboratory Diagnostic and Investigative Sciences, University of Zimbabwe, Harare, Zimbabwe
- Department of Laboratory Sciences, Biomedical Research and Training Institute, Harare, Zimbabwe
| | - Shungu Munyati
- Department of Laboratory Sciences, Biomedical Research and Training Institute, Harare, Zimbabwe
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7
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Lu J, Zhang X, Zhang X, Wang L, Zhao R, Liu XY, Liu X, Zhuang W, Chen L, Cai L, Wang J. Nanopore sequencing of full rRNA operon improves resolution in mycobiome analysis and reveals high diversity in both human gut and environments. Mol Ecol 2023; 32:6330-6344. [PMID: 35593386 DOI: 10.1111/mec.16534] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2021] [Revised: 04/24/2022] [Accepted: 05/12/2022] [Indexed: 10/18/2022]
Abstract
High-throughput sequencing has substantially improved our understanding of fungal diversity. However, the short read (<500 bp) length of current second-generation sequencing approaches provides limited taxonomic and phylogenetic resolution for species discrimination. Longer sequences containing more information are highly desired to provide greater taxonomic resolution. Here, we amplified full-length rRNA operons (~5.5 kb) and established a corresponding fungal rRNA operon database for ONT sequences (FRODO), which contains ONT sequences representing eight phyla, 41 classes, 109 orders, 256 families, 524 genera and 1116 species. We also benchmarked the optimal method for sequence classification and determined that the RDP classifier based on our FRODO database was capable of improving the classification of ONT reads, with an average of 98%-99% reads correctly classified at the genus or species level. We investigated the applicability of our approach in three representative mycobiomes, namely, the soil, marine and human gut mycobiomes, and found that the gut contains the largest number of unknown species (over 90%), followed by the marine (42%) and soil (33.8%) mycobiomes. We also observed a distinct difference in the composition of the marine and soil mycobiomes, with the highest richness and diversity detected in soils. Overall, our study provides a systematic approach for mycobiome studies and revealed that the previous methods might have underestimated the diversity of mycobiome species. Future application of this method will lead to a better understanding of the taxonomic and functional diversity of fungi in environmental and health-related mycobiomes.
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Affiliation(s)
- Jingjing Lu
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Xudong Zhang
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Xuan Zhang
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
| | - Linqi Wang
- University of Chinese Academy of Sciences, Beijing, China
- State Key Laboratory of Mycology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
| | - Ruilin Zhao
- University of Chinese Academy of Sciences, Beijing, China
- State Key Laboratory of Mycology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
| | - Xiao Yong Liu
- College of Life Sciences, Shandong Normal University, Jinan, China
| | - Xinzhan Liu
- University of Chinese Academy of Sciences, Beijing, China
- State Key Laboratory of Mycology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
| | - Wenying Zhuang
- University of Chinese Academy of Sciences, Beijing, China
- State Key Laboratory of Mycology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
| | - Liang Chen
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
| | - Lei Cai
- University of Chinese Academy of Sciences, Beijing, China
- State Key Laboratory of Mycology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
| | - Jun Wang
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
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8
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Girgis ST, Adika E, Nenyewodey FE, Senoo Jnr DK, Ngoi JM, Bandoh K, Lorenz O, van de Steeg G, Harrott AJR, Nsoh S, Judge K, Pearson RD, Almagro-Garcia J, Saiid S, Atampah S, Amoako EK, Morang'a CM, Asoala V, Adjei ES, Burden W, Roberts-Sengier W, Drury E, Pierce ML, Gonçalves S, Awandare GA, Kwiatkowski DP, Amenga-Etego LN, Hamilton WL. Drug resistance and vaccine target surveillance of Plasmodium falciparum using nanopore sequencing in Ghana. Nat Microbiol 2023; 8:2365-2377. [PMID: 37996707 PMCID: PMC10686832 DOI: 10.1038/s41564-023-01516-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2022] [Accepted: 10/06/2023] [Indexed: 11/25/2023]
Abstract
Malaria results in over 600,000 deaths annually, with the highest burden of deaths in young children living in sub-Saharan Africa. Molecular surveillance can provide important information for malaria control policies, including detection of antimalarial drug resistance. However, genome sequencing capacity in malaria-endemic countries is limited. We designed and implemented an end-to-end workflow to detect Plasmodium falciparum antimalarial resistance markers and diversity in the vaccine target circumsporozoite protein (csp) using nanopore sequencing in Ghana. We analysed 196 clinical samples and showed that our method is rapid, robust, accurate and straightforward to implement. Importantly, our method could be applied to dried blood spot samples, which are readily collected in endemic settings. We report that P. falciparum parasites in Ghana are mostly susceptible to chloroquine, with persistent sulfadoxine-pyrimethamine resistance and no evidence of artemisinin resistance. Multiple single nucleotide polymorphisms were identified in csp, but their significance is uncertain. Our study demonstrates the feasibility of nanopore sequencing for malaria genomic surveillance in endemic countries.
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Affiliation(s)
- Sophia T Girgis
- Wellcome Sanger Institute, Wellcome Trust Genome Campus, Hinxton, UK
| | - Edem Adika
- West African Centre for Cell Biology of Infectious Pathogens (WACCBIP), College of Basic and Applied Sciences, University of Ghana, Legon, Ghana
| | - Felix E Nenyewodey
- Navrongo Health Research Centre (NHRC), Ghana Health Service, Navrongo, Upper East Region, Ghana
| | - Dodzi K Senoo Jnr
- Navrongo Health Research Centre (NHRC), Ghana Health Service, Navrongo, Upper East Region, Ghana
| | - Joyce M Ngoi
- West African Centre for Cell Biology of Infectious Pathogens (WACCBIP), College of Basic and Applied Sciences, University of Ghana, Legon, Ghana
| | - Kukua Bandoh
- West African Centre for Cell Biology of Infectious Pathogens (WACCBIP), College of Basic and Applied Sciences, University of Ghana, Legon, Ghana
| | - Oliver Lorenz
- Wellcome Sanger Institute, Wellcome Trust Genome Campus, Hinxton, UK
| | - Guus van de Steeg
- Wellcome Sanger Institute, Wellcome Trust Genome Campus, Hinxton, UK
| | | | - Sebastian Nsoh
- Navrongo Health Research Centre (NHRC), Ghana Health Service, Navrongo, Upper East Region, Ghana
| | - Kim Judge
- Wellcome Sanger Institute, Wellcome Trust Genome Campus, Hinxton, UK
| | - Richard D Pearson
- Wellcome Sanger Institute, Wellcome Trust Genome Campus, Hinxton, UK
| | | | - Samirah Saiid
- West African Centre for Cell Biology of Infectious Pathogens (WACCBIP), College of Basic and Applied Sciences, University of Ghana, Legon, Ghana
| | - Solomon Atampah
- West African Centre for Cell Biology of Infectious Pathogens (WACCBIP), College of Basic and Applied Sciences, University of Ghana, Legon, Ghana
| | - Enock K Amoako
- West African Centre for Cell Biology of Infectious Pathogens (WACCBIP), College of Basic and Applied Sciences, University of Ghana, Legon, Ghana
| | - Collins M Morang'a
- West African Centre for Cell Biology of Infectious Pathogens (WACCBIP), College of Basic and Applied Sciences, University of Ghana, Legon, Ghana
| | - Victor Asoala
- Navrongo Health Research Centre (NHRC), Ghana Health Service, Navrongo, Upper East Region, Ghana
| | - Elrmion S Adjei
- Ledzokuku Krowor Municipal Assembly (LEKMA) Hospital, Accra, Ghana
| | - William Burden
- Wellcome Sanger Institute, Wellcome Trust Genome Campus, Hinxton, UK
| | | | - Eleanor Drury
- Wellcome Sanger Institute, Wellcome Trust Genome Campus, Hinxton, UK
| | - Megan L Pierce
- Wellcome Sanger Institute, Wellcome Trust Genome Campus, Hinxton, UK
| | - Sónia Gonçalves
- Wellcome Sanger Institute, Wellcome Trust Genome Campus, Hinxton, UK
| | - Gordon A Awandare
- West African Centre for Cell Biology of Infectious Pathogens (WACCBIP), College of Basic and Applied Sciences, University of Ghana, Legon, Ghana
| | | | - Lucas N Amenga-Etego
- West African Centre for Cell Biology of Infectious Pathogens (WACCBIP), College of Basic and Applied Sciences, University of Ghana, Legon, Ghana.
| | - William L Hamilton
- Wellcome Sanger Institute, Wellcome Trust Genome Campus, Hinxton, UK.
- Department of Medicine, University of Cambridge, Cambridge, UK.
- Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK.
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9
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Wang Y, Chen T, Zhang S, Zhang L, Li Q, Lv Q, Kong D, Jiang H, Ren Y, Jiang Y, Li Y, Huang W, Liu P. Clinical evaluation of metagenomic next-generation sequencing in unbiased pathogen diagnosis of urinary tract infection. J Transl Med 2023; 21:762. [PMID: 37891586 PMCID: PMC10612365 DOI: 10.1186/s12967-023-04562-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Accepted: 09/22/2023] [Indexed: 10/29/2023] Open
Abstract
BACKGROUND Early availability of pathogen identification in urinary tract infections (UTIs) has critical importance in disease management. Metagenomic next-generation sequencing (mNGS) has the potential to transform how acute and serious infections are diagnosed by offering unbiased and culture-free pathogen detection. However, clinical experience with application of the mNGS test is relatively limited. METHODS We therefore established a MinION-based mNGS pathogens diagnostic platform and evaluated its potential for clinical implementation in UTIs with clinical samples. 213 urine samples from patients with suspected UTIs were included and subjected to mNGS testing using the MinION platform. mNGS results were compared to the gold standard of clinical culture and composite standard of combining clinical testing, confirmatory qPCR testing, and clinical adjudication by doctors. RESULTS The mNGS exhibited a sensitivity of 81.4% and a specificity of 92.3%, along with a positive predictive value of 96.6%, a negative predictive value of 64.9%, and an overall accuracy of 84.4%, all of which were determined based on the gold standard of routine culture results. When assessed against the composite standard, the sensitivity and specificity both increased to 89.9% and 100%, respectively, while the accuracy rose to 92.4%. Notably, the positive predictive value and negative predictive value also saw improvements, reaching 100% and 76.8%, respectively. Moreover, this diagnostic platform successfully identified dsDNA viruses. Among the 65 culture-negative samples, the viral detection rate reached 33.8% (22/65) and was subsequently validated through qPCR. Furthermore, the automatic bioinformatics pipeline we developed enabled one-click analysis from data to results, leading to a significant reduction in diagnosis time. CONCLUSION These results demonstrate that the pathogen detection performance of mNGS is sufficient for diagnostic testing in clinical settings. As the method is generally unbiased, it can improve diagnostic testing of UTIs and other microbial infections.
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Affiliation(s)
- Ye Wang
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Academy of Military Medical Sciences, Beijing, China
| | - Ting Chen
- Department of Critical Care Medicine, The Fifth Medical Center of PLA General Hospital, Beijing, China
| | - Shengwei Zhang
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Academy of Military Medical Sciences, Beijing, China
| | - Lei Zhang
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Academy of Military Medical Sciences, Beijing, China
| | - Qian Li
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Academy of Military Medical Sciences, Beijing, China
| | - Qingyu Lv
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Academy of Military Medical Sciences, Beijing, China
| | - Decong Kong
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Academy of Military Medical Sciences, Beijing, China
| | - Hua Jiang
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Academy of Military Medical Sciences, Beijing, China
| | - Yuhao Ren
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Academy of Military Medical Sciences, Beijing, China
| | - Yongqiang Jiang
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Academy of Military Medical Sciences, Beijing, China
| | - Yan Li
- Department of Critical Care Medicine, The Fifth Medical Center of PLA General Hospital, Beijing, China.
| | - Wenhua Huang
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Academy of Military Medical Sciences, Beijing, China.
| | - Peng Liu
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Academy of Military Medical Sciences, Beijing, China.
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Mollova D, Gozmanova M, Apostolova E, Yahubyan G, Iliev I, Baev V. Illuminating the Genomic Landscape of Lactiplantibacillus plantarum PU3-A Novel Probiotic Strain Isolated from Human Breast Milk, Explored through Nanopore Sequencing. Microorganisms 2023; 11:2440. [PMID: 37894099 PMCID: PMC10609609 DOI: 10.3390/microorganisms11102440] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2023] [Revised: 09/11/2023] [Accepted: 09/25/2023] [Indexed: 10/29/2023] Open
Abstract
Lactiplantibacillus plantarum stands out as a remarkably diverse species of lactic acid bacteria, occupying a myriad of ecological niches. Particularly noteworthy is its presence in human breast milk, which can serve as a reservoir of probiotic bacteria, contributing significantly to the establishment and constitution of infant gut microbiota. In light of this, our study attempted to conduct an initial investigation encompassing both genomic and phenotypic aspects of the L. plantarum PU3 strain, that holds potential as a probiotic agent. By employing the cutting-edge third-generation Nanopore sequencing technology, L. plantarum PU3 revealed a circular chromosome of 3,180,940 bp and nine plasmids of various lengths. The L. plantarum PU3 genome has a total of 2962 protein-coding and non-coding genes. Our in-depth investigations revealed more than 150 probiotic gene markers that unfold the genetic determinants for acid tolerance, bile resistance, adhesion, and oxidative and osmotic stress. The in vivo analysis showed the strain's proficiency in utilizing various carbohydrates as growth substrates, complementing the in silico analysis of the genes involved in metabolic pathways. Notably, the strain demonstrated a pronounced affinity for D-sorbitol, D-mannitol, and D-Gluconic acid, among other carbohydrate sources. The in vitro experimental verification of acid, osmotic and bile tolerance validated the robustness of the strain in challenging environments. Encouragingly, no virulence factors were detected in the genome of PU3, suggesting its safety profile. In search of beneficial properties, we found potential bacteriocin biosynthesis clusters, suggesting its capability for antimicrobial activity. The characteristics exhibited by L. plantarum PU3 pave the way for promising strain potential, warranting further investigations to unlock its full capacity and contributions to probiotic and therapeutic avenues.
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Affiliation(s)
- Daniela Mollova
- Faculty of Biology, Department of Biochemistry and Microbiology, University of Plovdiv, Tzar Assen 24, 4000 Plovdiv, Bulgaria; (D.M.); (I.I.)
| | - Mariyana Gozmanova
- Faculty of Biology, Department of Plant Physiology and Molecular Biology, University of Plovdiv, Tzar Assen 24, 4000 Plovdiv, Bulgaria; (M.G.); (E.A.); (G.Y.)
| | - Elena Apostolova
- Faculty of Biology, Department of Plant Physiology and Molecular Biology, University of Plovdiv, Tzar Assen 24, 4000 Plovdiv, Bulgaria; (M.G.); (E.A.); (G.Y.)
| | - Galina Yahubyan
- Faculty of Biology, Department of Plant Physiology and Molecular Biology, University of Plovdiv, Tzar Assen 24, 4000 Plovdiv, Bulgaria; (M.G.); (E.A.); (G.Y.)
| | - Ilia Iliev
- Faculty of Biology, Department of Biochemistry and Microbiology, University of Plovdiv, Tzar Assen 24, 4000 Plovdiv, Bulgaria; (D.M.); (I.I.)
| | - Vesselin Baev
- Faculty of Biology, Department of Plant Physiology and Molecular Biology, University of Plovdiv, Tzar Assen 24, 4000 Plovdiv, Bulgaria; (M.G.); (E.A.); (G.Y.)
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11
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Abukhattab S, Hosch S, Abu-Rmeileh NME, Hasan S, Vonaesch P, Crump L, Hattendorf J, Daubenberger C, Zinsstag J, Schindler T. Whole-genome sequencing for One Health surveillance of antimicrobial resistance in conflict zones: a case study of Salmonella spp. and Campylobacter spp. in the West Bank, Palestine. Appl Environ Microbiol 2023; 89:e0065823. [PMID: 37655921 PMCID: PMC10540982 DOI: 10.1128/aem.00658-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2023] [Accepted: 07/13/2023] [Indexed: 09/02/2023] Open
Abstract
Antimicrobial resistance (AMR) is a critical global concern driven by the overuse, misuse, and/or usage of inadequate antibiotics on humans, animals' agriculture, and as a result of contaminated environments. This study is the first One Health survey in the Middle East that incorporated whole-genome sequencing (WGS) to examine the spread of AMR in Campylobacter spp. and Salmonella spp. This cross-sectional study was conducted to examine the role of AMR at the human-animal-environmental interface and was performed in Ramallah/Al-Bireh and Jerusalem governorates of the central West Bank, Palestine. In 2021 and 2022, a total of 592 samples were collected and analyzed. From a total of 65 Campylobacter jejuni and 19 Salmonella spp. isolates, DNA was extracted for WGS using Oxford Nanopore Technologies MinION platform. We found that the dominant serotypes of C. jejuni and Salmonella enterica were present in chicken manure, chicken meat sold in markets, and feces of asymptomatic farm workers, with high genetic similarities between the isolates regardless of origin. Additionally, our results showed rapid strain turnover in C. jejuni from the same sites between 2021 and 2022. Most of the positive Salmonella spp. samples were multidrug-resistant (MDR) S. enterica serovar Muenchen carrying the plasmid of emerging S. infantis (pESI) megaplasmid, conferring resistance to multiple antibiotics. Our findings highlight the spread of MDR foodborne pathogens from animals to humans through the food chain, emphasizing the importance of a One Health approach that considers the interconnections between human, animal, and environmental health. IMPORTANCE Prior to this study, there existed hardly an integrated human-animal-environmental study of Salmonellosis and Campylobacteriosis and related AMR in Middle Eastern countries. The few existing studies lack robust epidemiological study designs, adequate for a One Health approach, and did not use WGS to determine the circulating serotypes and their AMR profiles. Civil unrest and war in Middle Eastern countries drive AMR because of the breakdown of public health and food security services. This study samples simultaneously humans, animals, and the environment to comprehensively investigate foodborne pathogens in the broiler chicken production chain in Palestine using WGS. We show that identical serotypes of C. jejuni and S. enterica can be found in samples from chicken farms, chicken meat sold in markets, and asymptomatic broiler chicken production workers. The most striking feature is the rapid dynamic of change in the genetic profile of the detected species in the same sampling locations. The majority of positive Salmonella spp. samples are MDR S. enterica serovar Muenchen isolates carrying the pESI megaplasmid. The results demonstrate a close relationship between the S. enterica serovar Muenchen isolates found in our sample collection and those responsible for 40% of all clinical Salmonella spp. isolates in Israel as previously reported, with a sequence identity of over 99.9%. These findings suggest the transboundary spread of MDR S. enterica serovar Muenchen strains from animals to humans through the food chain. The study underscores the importance of combining integrated One Health studies with WGS for detecting environmental-animal-human transmission of foodborne pathogens that could not be detected otherwise. This study showcases the benefits of integrated environmental-animal-human sampling and WGS for monitoring AMR. Environmental samples, which may be more accessible in conflict-torn places where monitoring systems are limited and regulations are weak, can provide an effective AMR surveillance solution. WGS of bacterial isolates provides causal inference of the distribution and spread of bacterial serotypes and AMR in complex social-ecological systems. Consequently, our results point toward the expected benefits of operationalizing a One Health approach through closer cooperation of public and animal health and food safety authorities.
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Affiliation(s)
- Said Abukhattab
- Swiss Tropical and Public Health Institute, Allschwil, Switzerland
- University of Basel, Basel, Switzerland
| | - Salome Hosch
- Swiss Tropical and Public Health Institute, Allschwil, Switzerland
- University of Basel, Basel, Switzerland
| | | | - Shadi Hasan
- Master program in Clinical Laboratory Sciences, Birzeit University, Birzeit, Palestine
| | - Pascale Vonaesch
- Department of Fundamental Microbiology, University of Lausanne, Lausanne, Switzerland
| | - Lisa Crump
- Swiss Tropical and Public Health Institute, Allschwil, Switzerland
- University of Basel, Basel, Switzerland
| | - Jan Hattendorf
- Swiss Tropical and Public Health Institute, Allschwil, Switzerland
- University of Basel, Basel, Switzerland
| | - Claudia Daubenberger
- Swiss Tropical and Public Health Institute, Allschwil, Switzerland
- University of Basel, Basel, Switzerland
| | - Jakob Zinsstag
- Swiss Tropical and Public Health Institute, Allschwil, Switzerland
- University of Basel, Basel, Switzerland
| | - Tobias Schindler
- Swiss Tropical and Public Health Institute, Allschwil, Switzerland
- University of Basel, Basel, Switzerland
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Campos-Madueno EI, Aldeia C, Perreten V, Sendi P, Moser AI, Endimiani A. Detection of blaCTX-M and blaDHA genes in stool samples of healthy people: comparison of culture- and shotgun metagenomic-based approaches. Front Microbiol 2023; 14:1236208. [PMID: 37720151 PMCID: PMC10501143 DOI: 10.3389/fmicb.2023.1236208] [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: 06/07/2023] [Accepted: 08/16/2023] [Indexed: 09/19/2023] Open
Abstract
We implemented culture- and shotgun metagenomic sequencing (SMS)-based methods to assess the gut colonization with extended-spectrum cephalosporin-resistant Enterobacterales (ESC-R-Ent) in 42 volunteers. Both methods were performed using native and pre-enriched (broth supplemented with cefuroxime) stools. Native culture screening on CHROMID® ESBL plates resulted in 17 positive samples, whereas the pre-enriched culture (gold-standard) identified 23 carriers. Overall, 26 ESC-R-Ent strains (24 Escherichia coli) were identified: 25 CTX-M and 3 DHA-1 producers (2 co-producing CTX-Ms). Using the SMS on native stool ("native SMS") with thresholds ≥60% for both identity and coverage, only 7 of the 23 pre-enriched culture-positive samples resulted positive for blaCTX-M/blaDHA genes (native SMS reads mapping to blaCTX-M/blaDHAs identified in gold-standard: sensitivity, 59.0%; specificity 100%). Moreover, an average of 31.5 and 24.6 antimicrobial resistance genes (ARGs) were detected in the 23 pre-enriched culture-positive and the 19 negative samples, respectively. When the pre-enriched SMS was implemented, more blaCTX-M/blaDHA genes were detected than in the native assay, including in stools that were pre-enriched culture-negative (pre-enriched SMS reads mapping to blaCTX-M/blaDHAs identified in gold-standard: sensitivity, 78.3%; specificity 75.0%). In addition, the pre-enriched SMS identified on average 38.6 ARGs/sample, whereas for the corresponding native SMS it was 29.4 ARGs/sample. Notably, stools resulting false-negative by using the native SMS had lower concentrations of ESC-R-Ent (average: ~105 vs. ~107 CFU/g) and E. coli classified reads (average: 193,959 vs. 1.45 million) than those of native SMS positive samples. Finally, the detection of blaCTX-M/blaDHA genes was compared with two well-established bioinformatic tools. In conclusion, only the pre-enriched SMS assured detection of most carriers of ESC-R-Ent. However, its performance was not comparable to the pre-enriched culture-based approach.
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Affiliation(s)
- Edgar I. Campos-Madueno
- Institute for Infectious Diseases (IFIK), University of Bern, Bern, Switzerland
- Graduate School for Cellular and Biomedical Sciences, University of Bern, Bern, Switzerland
| | - Claudia Aldeia
- Institute for Infectious Diseases (IFIK), University of Bern, Bern, Switzerland
| | - Vincent Perreten
- Institute of Veterinary Bacteriology, University of Bern, Bern, Switzerland
| | - Parham Sendi
- Institute for Infectious Diseases (IFIK), University of Bern, Bern, Switzerland
| | - Aline I. Moser
- Institute for Infectious Diseases (IFIK), University of Bern, Bern, Switzerland
| | - Andrea Endimiani
- Institute for Infectious Diseases (IFIK), University of Bern, Bern, Switzerland
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Li X, Li Z, Wang M, Fu A, Hao X, Guo X, Gu J, Jin W, Yang A. The diagnostic utility of nanopore targeted sequencing in suspected endophthalmitis. Int Ophthalmol 2023; 43:2653-2668. [PMID: 36941506 PMCID: PMC10371907 DOI: 10.1007/s10792-023-02665-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2022] [Accepted: 02/19/2023] [Indexed: 03/23/2023]
Abstract
PURPOSE This paper aimed to assess the diagnostic utility of a newly developed gene-based technology-nanopore targeted sequencing (NTS) in suspected endophthalmitis patients. METHODS This retrospective study included 43 patients (44 eyes) with suspected endophthalmitis. NTS was applied along with microbiological culture to detect unknown pathogens in intraocular fluid samples. The diagnostic utility of NTS was mainly evaluated from three aspects, including the positivity rate of bacterial/fungal presence, diagnostic turnaround time and the frequency of change in treatment based on etiology test results. Non-parametric, two-sided Wilcoxon rank sum test, the McNemar's test and the kappa statistic were used for statistical comparisons. RESULTS NTS showed significant advantages over traditional culture in positivity rates and diagnostic time (P < 0.001, kappa = 0.082; Z = -5.805, P < 0. 001). As regards antibiotic strategy, 17 patients (39.53%) and 5 patients (11.63%) underwent medication change following NTS and culture results respectively (P < 0.001, kappa = 0.335). With reasonable use of antibiotic and surgical intervention, most patients responded favorably, judged by significantly improved visual acuity (Z = -4.249, P < 0.001). The mean duration of hospitalization was 8.49 ± 2.45 days (range, 1-16 days). CONCLUSION The high efficiency feature of NTS in pathogen detection renders it a valuable supplementary to traditional culture. Additionally, it has facilitated patients' management for the early and precise diagnosis of endophthalmitis.
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Affiliation(s)
- Xuejie Li
- Eye Center, Renmin Hospital of Wuhan University, Jiefang Road 238#, Wuhan, 430060, Hubei Province, China
| | - Ziyue Li
- Eye Center, Renmin Hospital of Wuhan University, Jiefang Road 238#, Wuhan, 430060, Hubei Province, China
| | - Ming Wang
- Department of Clinical Laboratory, Renmin Hospital of Wuhan University, Wuhan, 430060, Hubei Province, China
| | - Aisi Fu
- Wuhan Dgensee Clinical Laboratory Co, Ltd. Wuhan 430075, Hubei Province, China
| | - Xinlei Hao
- Eye Center, Renmin Hospital of Wuhan University, Jiefang Road 238#, Wuhan, 430060, Hubei Province, China
| | - Xinyang Guo
- Eye Center, Renmin Hospital of Wuhan University, Jiefang Road 238#, Wuhan, 430060, Hubei Province, China
| | - Jiashuang Gu
- Wuhan Dgensee Clinical Laboratory Co, Ltd. Wuhan 430075, Hubei Province, China
| | - Wei Jin
- Eye Center, Renmin Hospital of Wuhan University, Jiefang Road 238#, Wuhan, 430060, Hubei Province, China.
| | - Anhuai Yang
- Eye Center, Renmin Hospital of Wuhan University, Jiefang Road 238#, Wuhan, 430060, Hubei Province, China.
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Montoro-Dasi L, Lorenzo-Rebenaque L, Marco-Fuertes A, Vega S, Marin C. Holistic Strategies to Control Salmonella Infantis: An Emerging Challenge in the European Broiler Sector. Microorganisms 2023; 11:1765. [PMID: 37512937 PMCID: PMC10386103 DOI: 10.3390/microorganisms11071765] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2023] [Revised: 06/30/2023] [Accepted: 07/04/2023] [Indexed: 07/30/2023] Open
Abstract
Salmonella spp. has been globally recognized as one of the leading causes of acute human bacterial gastroenteritis resulting from the consumption of animal-derived products. Salmonella Enteritidis, S. Typhimurium, and its monophasic variant are the main serovars responsible for human disease. However, a serovar known as S. Infantis has emerged as the fourth most prevalent serovar associated with human disease. A total of 95% of isolated S. Infantis serovars originate from broilers and their derived products. This serovar is strongly associated with an elevated antimicrobial (AMR) and multidrug resistance, a resistance to disinfectants, an increased tolerance to environmental mercury, a heightened virulence, and an enhanced ability to form biofilms and attach to host cells. Furthermore, this serovar harbors genes that confer resistance to colistin, a last-resort antibiotic in human medicine, and it has the potential to acquire additional transferable AMR against other critically important antimicrobials, posing a new and significant challenge to global public health. This review provides an overview of the current status of the S. Infantis serovar in the poultry sector, focusing on its key virulence factors, including its virulence genes, antimicrobial resistance, and biofilm formation. Additionally, novel holistic strategies for controlling S. Infantis along the entire food chain are presented in this review.
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Affiliation(s)
- Laura Montoro-Dasi
- Departamento de Producción y Sanidad Animal, Salud Pública Veterinaria y Ciencia y Tecnología de los Alimentos, Facultad de Veterinaria, Instituto de Ciencias Biomédicas, Universidad Cardenal Herrera-CEU, CEU Universities, Calle Santiago Ramón y Cajal 20, 45115 Alfara del Patriarca, Valencia, Spain
| | - Laura Lorenzo-Rebenaque
- Departamento de Producción y Sanidad Animal, Salud Pública Veterinaria y Ciencia y Tecnología de los Alimentos, Facultad de Veterinaria, Instituto de Ciencias Biomédicas, Universidad Cardenal Herrera-CEU, CEU Universities, Calle Santiago Ramón y Cajal 20, 45115 Alfara del Patriarca, Valencia, Spain
| | - Ana Marco-Fuertes
- Departamento de Producción y Sanidad Animal, Salud Pública Veterinaria y Ciencia y Tecnología de los Alimentos, Facultad de Veterinaria, Instituto de Ciencias Biomédicas, Universidad Cardenal Herrera-CEU, CEU Universities, Calle Santiago Ramón y Cajal 20, 45115 Alfara del Patriarca, Valencia, Spain
| | - Santiago Vega
- Departamento de Producción y Sanidad Animal, Salud Pública Veterinaria y Ciencia y Tecnología de los Alimentos, Facultad de Veterinaria, Instituto de Ciencias Biomédicas, Universidad Cardenal Herrera-CEU, CEU Universities, Calle Santiago Ramón y Cajal 20, 45115 Alfara del Patriarca, Valencia, Spain
| | - Clara Marin
- Departamento de Producción y Sanidad Animal, Salud Pública Veterinaria y Ciencia y Tecnología de los Alimentos, Facultad de Veterinaria, Instituto de Ciencias Biomédicas, Universidad Cardenal Herrera-CEU, CEU Universities, Calle Santiago Ramón y Cajal 20, 45115 Alfara del Patriarca, Valencia, Spain
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15
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Ring N, Low AS, Wee B, Paterson GK, Nuttall T, Gally D, Mellanby R, Fitzgerald JR. Rapid metagenomic sequencing for diagnosis and antimicrobial sensitivity prediction of canine bacterial infections. Microb Genom 2023; 9:mgen001066. [PMID: 37471128 PMCID: PMC10438823 DOI: 10.1099/mgen.0.001066] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2023] [Accepted: 06/18/2023] [Indexed: 07/21/2023] Open
Abstract
Antimicrobial resistance is a major threat to human and animal health. There is an urgent need to ensure that antimicrobials are used appropriately to limit the emergence and impact of resistance. In the human and veterinary healthcare setting, traditional culture and antimicrobial sensitivity testing typically requires 48-72 h to identify appropriate antibiotics for treatment. In the meantime, broad-spectrum antimicrobials are often used, which may be ineffective or impact non-target commensal bacteria. Here, we present a rapid, culture-free, diagnostics pipeline, involving metagenomic nanopore sequencing directly from clinical urine and skin samples of dogs. We have planned this pipeline to be versatile and easily implementable in a clinical setting, with the potential for future adaptation to different sample types and animals. Using our approach, we can identify the bacterial pathogen present within 5 h, in some cases detecting species which are difficult to culture. For urine samples, we can predict antibiotic sensitivity with up to 95 % accuracy. Skin swabs usually have lower bacterial abundance and higher host DNA, confounding antibiotic sensitivity prediction; an additional host depletion step will likely be required during the processing of these, and other types of samples with high levels of host cell contamination. In summary, our pipeline represents an important step towards the design of individually tailored veterinary treatment plans on the same day as presentation, facilitating the effective use of antibiotics and promoting better antimicrobial stewardship.
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Affiliation(s)
- Natalie Ring
- The Roslin Institute, University of Edinburgh, Edinburgh, UK
- Royal (Dick) School of Veterinary Studies, University of Edinburgh, Edinburgh, UK
| | - Alison S. Low
- The Roslin Institute, University of Edinburgh, Edinburgh, UK
| | - Bryan Wee
- The Roslin Institute, University of Edinburgh, Edinburgh, UK
| | - Gavin K. Paterson
- The Roslin Institute, University of Edinburgh, Edinburgh, UK
- Royal (Dick) School of Veterinary Studies, University of Edinburgh, Edinburgh, UK
| | - Tim Nuttall
- Royal (Dick) School of Veterinary Studies, University of Edinburgh, Edinburgh, UK
| | - David Gally
- The Roslin Institute, University of Edinburgh, Edinburgh, UK
| | - Richard Mellanby
- Royal (Dick) School of Veterinary Studies, University of Edinburgh, Edinburgh, UK
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16
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Kim M, Foster JC, Moore MD, Chen M. Improving Single-Molecule Antibody Detection Selectivity through Optimization of Peptide Epitope Presentation in OmpG Nanopore. ACS Sens 2023. [PMID: 37379512 DOI: 10.1021/acssensors.3c00528] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/30/2023]
Abstract
Outer membrane protein G (OmpG) is a monomeric porin found in Escherichia coli, which possesses seven flexible loops. OmpG has been engineered as a nanopore sensor, where its loops can host affinity epitopes for selective detection of biological molecules. In this study, we investigated various loop positions to incorporate a FLAG peptide antigen epitope in the most flexible loop 6 and tested the efficacy and sensitivity of these nanopore constructs in antibody detection. We observed an OmpG construct containing inserted FLAG sequence, which exhibited strong interaction with anti-FLAG antibodies in flow cytometry; however, it could not translate molecule interactions into a readable signal in current recordings. Further optimization of the peptide presentation strategy by replacing specific sections of loop 6 sequences with the FLAG tag created a construct capable of generating unique and distinct signals when interacting with various monoclonal or polyclonal anti-FLAG clones IgG antibodies in the mixture. The peptide display scheme demonstrated in this study can be generalized for the engineering of OmpG sensors, which can be used for screening and validating positive clones during antibody development, as well as for real-time quality control of cell cultures in monoclonal antibody production.
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Affiliation(s)
- Minji Kim
- Department of Food Science, University of Massachusetts Amherst, Amherst, Massachusetts 01003, United States
| | - Joshua C Foster
- Molecular and Cellular Biology Program, University of Massachusetts Amherst, Amherst, Massachusetts 01003, United States
| | - Matthew D Moore
- Department of Food Science, University of Massachusetts Amherst, Amherst, Massachusetts 01003, United States
- Molecular and Cellular Biology Program, University of Massachusetts Amherst, Amherst, Massachusetts 01003, United States
| | - Min Chen
- Molecular and Cellular Biology Program, University of Massachusetts Amherst, Amherst, Massachusetts 01003, United States
- Department of Chemistry, University of Massachusetts Amherst, Amherst, Massachusetts 01003, United States
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17
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Cha T, Kim HH, Keum J, Kwak MJ, Park JY, Hoh JK, Kim CR, Jeon BH, Park HK. Gut microbiome profiling of neonates using Nanopore MinION and Illumina MiSeq sequencing. Front Microbiol 2023; 14:1148466. [PMID: 37256051 PMCID: PMC10225602 DOI: 10.3389/fmicb.2023.1148466] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2023] [Accepted: 04/17/2023] [Indexed: 06/01/2023] Open
Abstract
This study aimed to evaluate the difference in gut microbiomes between preterm and term infants using third-generation long-read sequencing (Oxford Nanopore Technologies, ONT) compared with an established gold standard, Illumina (second-generation short-read sequencing). A total of 69 fecal samples from 51 term (T) and preterm (P) infants were collected at 7 and 28 days of life. Gut colonization profiling was performed by 16S rRNA gene sequencing using ONT. We used Illumina to validate and compare the patterns in 13 neonates. Using bioinformatic analysis, we identified features that differed between P and T. Both T1 and P1 microbiomes were dominated by Firmicutes (Staphylococcus and Enterococcus), whereas sequentially showed dominant transitions to Lactobacillus (p < 0.001) and Streptococcus in T2 (p = 0.001), and pathogenic bacteria (Klebsiella) in P2 (p = 0.001). The abundance of beneficial bacteria (Bifidobacterium and Lactobacillus) increased in T2 (p = 0.026 and p < 0.001, respectively). These assignments were correlated with the abundance at the species-level. Bacterial α-diversity increased in T (p = 0.005) but not in P (p = 0.156), and P2 showed distinct β-diversity clustering than T2 (p = 0.001). The ONT reliably identified pathogenic bacteria at the genus level, and taxonomic profiles were comparable to those identified by Illumina at the genus level. This study shows that ONT and Illumina are highly correlated. P and T had different microbiome profiles, and the α- and β-diversity varied. ONT sequencing has potential for pathogen detection in neonates in clinical settings.
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Affiliation(s)
- Teahyen Cha
- Department of Pediatrics, Hanyang University College of Medicine, Seoul, Republic of Korea
| | - Hoo Hugo Kim
- Department of Earth Resources and Environmental Engineering, Hanyang University, Seoul, Republic of Korea
| | - Jihyun Keum
- Department of Obstetrics and Gynecology, Hanyang University College of Medicine, Seoul, Republic of Korea
| | - Min-Jin Kwak
- Department of Agricultural Biotechnology and Research Institute of Agriculture and Life Sciences, Seoul National University, Seoul, Republic of Korea
| | - Jae Yong Park
- Division of Microbiome, Int-Gen Company, Seoul, Republic of Korea
| | - Jeong Kyu Hoh
- Department of Obstetrics and Gynecology, Hanyang University College of Medicine, Seoul, Republic of Korea
| | - Chang-Ryul Kim
- Department of Pediatrics, Hanyang University College of Medicine, Seoul, Republic of Korea
| | - Byong-Hun Jeon
- Department of Earth Resources and Environmental Engineering, Hanyang University, Seoul, Republic of Korea
| | - Hyun-Kyung Park
- Department of Pediatrics, Hanyang University College of Medicine, Seoul, Republic of Korea
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18
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Yang Y, Deng Y, Shi X, Liu L, Yin X, Zhao W, Li S, Yang C, Zhang T. QMRA of beach water by Nanopore sequencing-based viability-metagenomics absolute quantification. WATER RESEARCH 2023; 235:119858. [PMID: 36931186 DOI: 10.1016/j.watres.2023.119858] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/04/2022] [Revised: 02/28/2023] [Accepted: 03/07/2023] [Indexed: 06/18/2023]
Abstract
The majority of the current regulatory practices for routine monitoring of beach water quality rely on the culture-based enumeration of faecal indicator bacteria (FIB) to develop criteria for promoting the general public's health. To address the limitations of culture methods and the arguable reliability of FIB in indicating health risks, we developed a Nanopore metagenomic sequencing-based viable cell absolute quantification workflow to rapidly and accurately estimate a broad range of microbes in beach waters by a combination of propidium monoazide (PMA) and cellular spike-ins. Using the simple synthetic bacterial communities mixed with viable and heat-killed cells, we observed near-complete relic DNA removal by PMA with minimal disturbance to the composition of viable cells, demonstrating the feasibility of PMA treatment in profiling viable cells by Nanopore sequencing. On a simple mock community comprised of 15 prokaryotic species, our results showed high accordance between the expected and estimated concentrations, suggesting the accuracy of our method in absolute quantification. We then further assessed the accuracy of our method for counting viable Escherichia coli and Vibrio spp. in beach waters by comparing to culture-based method, which were also in high agreement. Furthermore, we demonstrated that 1 Gb sequences obtained within 2 h would be sufficient to quantify a species having a concentration of ≥ 10 cells/mL in beach waters. Using our viability-resolved quantification workflow to assess the microbial risk of the beach water, we conducted (1) screening-level quantitative microbial risk assessment (QMRA) to investigate human illness risk and site-specific risk patterns that might guide risk management efforts and (2) metagenomics-based resistome risk assessment to evaluate another layer of risk caused by difficult illness treatment due to antimicrobial resistance (AMR). In summary, our metagenomic workflow for the rapid absolute quantification of viable bacteria demonstrated its great potential in paving new avenues toward holistic microbial risk assessment.
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Affiliation(s)
- Yu Yang
- Environmental Microbiome Engineering and Biotechnology Laboratory, Centre for Environmental Engineering Research, Department of Civil Engineering, The University of Hong Kong, Hong Kong, China; State Key Laboratory of Marine Pollution, City University of Hong Kong, Hong Kong, China
| | - Yu Deng
- Environmental Microbiome Engineering and Biotechnology Laboratory, Centre for Environmental Engineering Research, Department of Civil Engineering, The University of Hong Kong, Hong Kong, China
| | - Xianghui Shi
- Environmental Microbiome Engineering and Biotechnology Laboratory, Centre for Environmental Engineering Research, Department of Civil Engineering, The University of Hong Kong, Hong Kong, China
| | - Lei Liu
- Environmental Microbiome Engineering and Biotechnology Laboratory, Centre for Environmental Engineering Research, Department of Civil Engineering, The University of Hong Kong, Hong Kong, China
| | - Xiaole Yin
- Environmental Microbiome Engineering and Biotechnology Laboratory, Centre for Environmental Engineering Research, Department of Civil Engineering, The University of Hong Kong, Hong Kong, China
| | - Wanwan Zhao
- Key Laboratory of Molecular Microbiology and Technology for Ministry of Education, Department of Microbiology, College of Life Sciences, Nankai University, Tianjin 300071, China
| | - Shuxian Li
- Environmental Microbiome Engineering and Biotechnology Laboratory, Centre for Environmental Engineering Research, Department of Civil Engineering, The University of Hong Kong, Hong Kong, China
| | - Chao Yang
- Key Laboratory of Molecular Microbiology and Technology for Ministry of Education, Department of Microbiology, College of Life Sciences, Nankai University, Tianjin 300071, China.
| | - Tong Zhang
- Environmental Microbiome Engineering and Biotechnology Laboratory, Centre for Environmental Engineering Research, Department of Civil Engineering, The University of Hong Kong, Hong Kong, China; State Key Laboratory of Marine Pollution, City University of Hong Kong, Hong Kong, China; Macau Institute for Applied Research in Medicine and Health, Macau University of Science and Technology, Macau SAR, China.
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19
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Schwartz DJ, Shalon N, Wardenburg K, DeVeaux A, Wallace MA, Hall-Moore C, Ndao IM, Sullivan JE, Radmacher P, Escobedo M, D. Burnham CA, Warner BB, Tarr PI, Dantas G. Gut pathogen colonization precedes bloodstream infection in the neonatal intensive care unit. Sci Transl Med 2023; 15:eadg5562. [PMID: 37134153 PMCID: PMC10259202 DOI: 10.1126/scitranslmed.adg5562] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2023] [Accepted: 04/11/2023] [Indexed: 05/05/2023]
Abstract
Bacterial bloodstream infections (BSIs) resulting in late-onset sepsis affect up to half of extremely preterm infants and have substantial morbidity and mortality. Bacterial species associated with BSIs in neonatal intensive care units (NICUs) commonly colonize the preterm infant gut microbiome. Accordingly, we hypothesized that the gut microbiome is a reservoir of BSI-causing pathogenic strains that increase in abundance before BSI onset. We analyzed 550 previously published fecal metagenomes from 115 hospitalized neonates and found that recent ampicillin, gentamicin, or vancomycin exposure was associated with increased abundance of Enterobacteriaceae and Enterococcaceae in infant guts. We then performed shotgun metagenomic sequencing on 462 longitudinal fecal samples from 19 preterm infants (cases) with BSI and 37 non-BSI controls, along with whole-genome sequencing of the BSI isolates. Infants with BSI caused by Enterobacteriaceae were more likely than infants with BSI caused by other organisms to have had ampicillin, gentamicin, or vancomycin exposure in the 10 days before BSI. Relative to controls, gut microbiomes of cases had increased relative abundance of the BSI-causing species and clustered by Bray-Curtis dissimilarity according to BSI pathogen. We demonstrated that 11 of 19 (58%) of gut microbiomes before BSI, and 15 of 19 (79%) of gut microbiomes at any time, harbored the BSI isolate with fewer than 20 genomic substitutions. Last, BSI strains from the Enterobacteriaceae and Enterococcaceae families were detected in multiple infants, indicating BSI-strain transmission. Our findings support future studies to evaluate BSI risk prediction strategies based on gut microbiome abundance in hospitalized preterm infants.
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Affiliation(s)
- Drew J. Schwartz
- Edison Family Center for Genome Sciences and Systems Biology, Washington University School of Medicine, St. Louis, MO 63110, USA
- Center for Women’s Infectious Disease Research, Washington University School of Medicine, St. Louis, MO 63110, USA
- Department of Pediatrics, Washington University School of Medicine, St. Louis, MO 63110, USA
- Department of Molecular Microbiology, Washington University School of Medicine, St. Louis, MO 63110, USA
- Department of Obstetrics and Gynecology, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Nitan Shalon
- Edison Family Center for Genome Sciences and Systems Biology, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Kate Wardenburg
- Edison Family Center for Genome Sciences and Systems Biology, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Anna DeVeaux
- Edison Family Center for Genome Sciences and Systems Biology, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Meghan A. Wallace
- Department of Pathology and Immunology, Division of Laboratory and Genomic Medicine, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Carla Hall-Moore
- Department of Pediatrics, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - I. Malick Ndao
- Department of Pediatrics, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Janice E. Sullivan
- Department of Pediatrics, University of Louisville School of Medicine, Norton Children’s Hospital, Louisville, KY 40202, USA
| | - Paula Radmacher
- Department of Pediatrics, University of Louisville School of Medicine, Norton Children’s Hospital, Louisville, KY 40202, USA
| | - Marilyn Escobedo
- Department of Pediatrics, University of Oklahoma, Oklahoma City, OK 73117, USA
| | - Carey-Ann D. Burnham
- Department of Pediatrics, Washington University School of Medicine, St. Louis, MO 63110, USA
- Department of Molecular Microbiology, Washington University School of Medicine, St. Louis, MO 63110, USA
- Department of Pathology and Immunology, Division of Laboratory and Genomic Medicine, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Barbara B. Warner
- Department of Pediatrics, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Phillip I. Tarr
- Department of Pediatrics, Washington University School of Medicine, St. Louis, MO 63110, USA
- Department of Molecular Microbiology, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Gautam Dantas
- Edison Family Center for Genome Sciences and Systems Biology, Washington University School of Medicine, St. Louis, MO 63110, USA
- Department of Pediatrics, Washington University School of Medicine, St. Louis, MO 63110, USA
- Department of Molecular Microbiology, Washington University School of Medicine, St. Louis, MO 63110, USA
- Department of Pathology and Immunology, Division of Laboratory and Genomic Medicine, Washington University School of Medicine, St. Louis, MO 63110, USA
- Department of Biomedical Engineering, Washington University in St. Louis, St. Louis, MO 63130, USA
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20
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Hutchinson RA, Costeloe KL, Wade WG, Millar MR, Ansbro K, Stacey F, Fleming PF. Intravenous antibiotics in preterm infants have a negative effect upon microbiome development throughout preterm life. Gut Pathog 2023; 15:18. [PMID: 37085896 PMCID: PMC10120188 DOI: 10.1186/s13099-023-00544-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/21/2022] [Accepted: 04/09/2023] [Indexed: 04/23/2023] Open
Abstract
BACKGROUND Intestinal dysbiosis is implicated in the origins of necrotising enterocolitis and late-onset sepsis in preterm babies. However, the effect of modulators of bacterial growth (e.g. antibiotics) upon the developing microbiome is not well-characterised. In this prospectively-recruited, retrospectively-classified, case-control study, high-throughput 16S rRNA gene sequencing was combined with contemporaneous clinical data collection, to assess the within-subject relationship between antibiotic administration and microbiome development, in comparison to preterm infants with minimal antibiotic exposure. RESULTS During courses of antibiotics, diversity progression fell in comparison to that seen outside periods of antibiotic use (-0.71units/week vs. + 0.63units/week, p < 0.01); Enterobacteriaceae relative abundance progression conversely rose (+ 10.6%/week vs. -8.9%/week, p < 0.01). After antibiotic cessation, diversity progression remained suppressed (+ 0.2units/week, p = 0.02). CONCLUSIONS Antibiotic use has an acute and longer-lasting impact on the developing preterm intestinal microbiome. This has clinical implications with regard to the contribution of antibiotic use to evolving dysbiosis, and affects the interpretation of existing microbiome studies where this effect modulator is rarely accounted for.
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Affiliation(s)
- R A Hutchinson
- Queen Mary University of London, London, UK.
- Homerton University Hospital NHS Foundation Trust, London, UK.
| | | | - W G Wade
- Queen Mary University of London, London, UK
- King's College London, London, UK
- The Forsyth Institute, Cambridge, MA, USA
| | - M R Millar
- Queen Mary University of London, London, UK
| | - K Ansbro
- Queen Mary University of London, London, UK
| | - F Stacey
- Homerton University Hospital NHS Foundation Trust, London, UK
| | - P F Fleming
- Queen Mary University of London, London, UK
- Homerton University Hospital NHS Foundation Trust, London, UK
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21
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Wilson A, Bogie B, Chaaban H, Burge K. The Nonbacterial Microbiome: Fungal and Viral Contributions to the Preterm Infant Gut in Health and Disease. Microorganisms 2023; 11:909. [PMID: 37110332 PMCID: PMC10144239 DOI: 10.3390/microorganisms11040909] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2023] [Revised: 03/27/2023] [Accepted: 03/30/2023] [Indexed: 04/29/2023] Open
Abstract
The intestinal microbiome is frequently implicated in necrotizing enterocolitis (NEC) pathogenesis. While no particular organism has been associated with NEC development, a general reduction in bacterial diversity and increase in pathobiont abundance has been noted preceding disease onset. However, nearly all evaluations of the preterm infant microbiome focus exclusively on the bacterial constituents, completely ignoring any fungi, protozoa, archaea, and viruses present. The abundance, diversity, and function of these nonbacterial microbes within the preterm intestinal ecosystem are largely unknown. Here, we review findings on the role of fungi and viruses, including bacteriophages, in preterm intestinal development and neonatal intestinal inflammation, with potential roles in NEC pathogenesis yet to be determined. In addition, we highlight the importance of host and environmental influences, interkingdom interactions, and the role of human milk in shaping fungal and viral abundance, diversity, and function within the preterm intestinal ecosystem.
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Affiliation(s)
| | | | - Hala Chaaban
- Division of Neonatal-Perinatal Medicine, Department of Pediatrics, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104, USA
| | - Kathryn Burge
- Division of Neonatal-Perinatal Medicine, Department of Pediatrics, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104, USA
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22
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Kruasuwan W, Jenjaroenpun P, Arigul T, Chokesajjawatee N, Leekitcharoenphon P, Foongladda S, Wongsurawat T. Nanopore Sequencing Discloses Compositional Quality of Commercial Probiotic Feed Supplements. Sci Rep 2023; 13:4540. [PMID: 36941307 PMCID: PMC10027865 DOI: 10.1038/s41598-023-31626-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2022] [Accepted: 03/15/2023] [Indexed: 03/23/2023] Open
Abstract
The market for the application of probiotics as a livestock health improvement supplement has increased in recent years. However, most of the available products are quality-controlled using low-resolution techniques and un-curated databases, resulting in misidentification and incorrect product labels. In this work, we deployed two workflows and compared results obtained by full-length 16S rRNA genes (16S) and metagenomic (Meta) data to investigate their reliability for the microbial composition of both liquid and solid forms of animal probiotic products using Oxford Nanopore long-read-only (without short-read). Our result revealed that 16S amplicon data permits to detect the bacterial microbiota even with the low abundance in the samples. Moreover, the 16S approach has the potential to provide species-level resolution for prokaryotes but not for assessing yeast communities. Whereas, Meta data has more power to recover of high-quality metagenome-assembled genomes that enables detailed exploration of both bacterial and yeast populations, as well as antimicrobial resistance genes, and functional genes in the population. Our findings clearly demonstrate that implementing these workflows with long-read-only monitoring could be applied to assessing the quality and safety of probiotic products for animals and evaluating the quality of probiotic products on the market. This would benefit the sustained growth of the livestock probiotic industry.
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Affiliation(s)
- Worarat Kruasuwan
- Division of Medical Bioinformatics, Research Department, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
- Siriraj Long-Read Lab (Si-LoL), Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Piroon Jenjaroenpun
- Division of Medical Bioinformatics, Research Department, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
- Siriraj Long-Read Lab (Si-LoL), Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
- Department of Biomedical Informatics, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Tantip Arigul
- Division of Medical Bioinformatics, Research Department, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
- Siriraj Long-Read Lab (Si-LoL), Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Nipa Chokesajjawatee
- National Center for Genetic Engineering and Biotechnology (BIOTEC), 113 Thailand Science Park, Phahonyothin Road, Khlong Nueng, Khlong Luang, Pathum Thani, Thailand
| | - Pimlapas Leekitcharoenphon
- Research Group for Genomic Epidemiology, National Food Institute, Technical University of Denmark, 2800, Kgs. Lyngby, Denmark
| | - Suporn Foongladda
- Department of Microbiology, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Thidathip Wongsurawat
- Division of Medical Bioinformatics, Research Department, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.
- Siriraj Long-Read Lab (Si-LoL), Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.
- Department of Biomedical Informatics, University of Arkansas for Medical Sciences, Little Rock, AR, USA.
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23
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Nakamura A, Komatsu M. Performance evaluation of whole genome metagenomics sequencing with the MinION nanopore sequencer: Microbial community analysis and antimicrobial resistance gene detection. J Microbiol Methods 2023; 206:106688. [PMID: 36764487 DOI: 10.1016/j.mimet.2023.106688] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Revised: 01/31/2023] [Accepted: 02/07/2023] [Indexed: 02/11/2023]
Abstract
Recently, the human gut microbiota has been implicated in various diseases such as immunological and neuropsychiatric disorders, and comprehensive gut microbiota analysis by metagenomic analysis using next-generation sequencers has been attracting attention. In this study, we compared microbial communities of 16S rDNA metagenome sequencing (16S-meta) and whole genome metagenome sequencing (WG-meta) using the nanopore sequencer MinION and 16S-meta using the Illumina Miseq sequencer with simulated and fecal samples, and evaluated the ability of WG-meta to detect antimicrobial resistance genes. We used the commercial Microbial Community DNA Standard as the DNA standard and a simulated sample comprising 17 strains of 15 bacterial species. In the detection of antimicrobial resistance genes, we used a simulated sample and spiked fecal samples containing Escherichia coli carrying blaCTX-M-27, Klebsiella pneumoniae carrying blaOXA-48, and Staphylococcus aureus carrying mecA. WG-meta using MinION was superior to 16S-meta and could accurately analyze the microbial communities at the species level, but it underestimated or misidentified the Bacillus subtilis group, Cryptococcus neoformans, Shigella sonnei, and Campylobacter jejuni. WG-meta using MinION could analyze the microbial communities in 5 min, and antimicrobial resistance gene detection using WG-meta could be performed in >30 min in the simulated sample with fewer bacterial counts.
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Affiliation(s)
- Akihiro Nakamura
- Department of Clinical Laboratory Science, Faculty of Health Care, Tenri Health Care University, Tenri, Japan.
| | - Masaru Komatsu
- Department of Clinical Laboratory Science, Faculty of Health Care, Tenri Health Care University, Tenri, Japan
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24
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Predictive Power of Long-Read Whole-Genome Sequencing for Rapid Diagnostics of Multidrug-Resistant Brachyspira hyodysenteriae Strains. Microbiol Spectr 2023; 11:e0412322. [PMID: 36602320 PMCID: PMC9927316 DOI: 10.1128/spectrum.04123-22] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023] Open
Abstract
Infections with Brachyspira hyodysenteriae, the etiological agent of swine dysentery, result in major economic losses in the pig industry worldwide. Even though microbial differentiation of various Brachyspira species can be obtained via PCR, no quick diagnostics for antimicrobial susceptibility testing are in place, which is mainly due to the time-consuming (4 to 7 days) anaerobic growth requirements of these organisms. Veterinarians often rely on a clinical diagnosis for initiating antimicrobial treatment. These treatments are not always effective, which may be due to high levels of acquired resistance in B. hyodysenteriae field isolates. By using long-read-only whole-genome sequencing and a custom-trained Bonito base-calling model, 81 complete B. hyodysenteriae genomes with median Q51 scores and 99% completeness were obtained from 86 field strains. This allowed the assessment of the predictive potential of genetic markers in relation to the observed acquired resistance phenotypes obtained via agar dilution susceptibility testing. Multidrug resistance was observed in 77% and 21% of the tested strains based on epidemiological cutoff and clinical breakpoint values, respectively. The predictive power of genetic hallmarks (genes and/or gene mutations) for antimicrobial susceptibility testing was promising. Sensitivity and specificity for tiamulin [tva(A) and 50SL3N148S, 99% and 67%], valnemulin [tva(A), 97% and 92%), lincomycin (23SA2153T/G and lnuC, 94% and 100%), tylvalosin (23SA2153T/G, 99% and 93%), and doxycycline (16SG1026C, 93% and 87%) were determined. The predictive power of these genetic hallmarks is promising for use in sequencing-based workflows to speed up swine dysentery diagnostics in veterinary medicine and determine proper antimicrobial use. IMPORTANCE Diagnostics for swine dysentery rely on the identification of Brachyspira species using molecular techniques. Nevertheless, no quick diagnostic tools are available for antimicrobial susceptibility testing due to extended growth requirements (7 to 14 days). To enable practitioners to tailor antimicrobial treatment to specific strains, long-read sequencing-based methods are expected to lead to rapid methods in the future. Nevertheless, their potential implementation should be validated extensively. This mainly implies assessing sequencing accuracy and the predictive power of genetic hallmarks in relation to their observed (multi)resistance phenotypes.
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25
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Buonavoglia A, Zamparini F, Lanave G, Pellegrini F, Diakoudi G, Spinelli A, Lucente MS, Camero M, Vasinioti VI, Gandolfi MG, Martella V, Prati C. Endodontic Microbial Communities in Apical Periodontitis. J Endod 2023; 49:178-189. [PMID: 36526107 DOI: 10.1016/j.joen.2022.11.015] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2022] [Revised: 11/23/2022] [Accepted: 11/28/2022] [Indexed: 12/15/2022]
Abstract
INTRODUCTION Apical periodontitis (AP) represents an inflammatory condition of peri-radicular tissues due to invasion and colonization of bacteria in the root canals. Primary apical periodontitis (PAP) is associated with untreated necrotic root canal and can be efficiently treated with endodontic treatment to remove bacteria. Persistent/secondary apical periodontitis (SAP) is a perpetual periapical lesion due to unsuccessfully treated root canals after an initial apparent healing of the tooth. The aim of the study was evaluating the microbial communities associated with root canals using Nanopore sequencing. METHODS Seventeen samples from the root canals of 15 patients with AP were Polymerase Chain Reaction-amplified for 16s ribosomal DNA gene and sequenced. Information regarding the presence or absence of AP symptoms, PAP and SAP, and periapical index of patients were recorded. RESULTS Firmicutes, Bacteroidetes, and Actinobacteria were the most abundant phyla detected and Phocaeicola, Pseudomonas, Rothia, and Prevotella were the most prominent genera. In samples of patients with AP symptoms, the most frequent detected genera were Cutibacterium, Lactobacillus, Pseudomonas, Dialister, Prevotella, and Staphylococcus. In PAP samples, the most represented genera were Cutibacterium, Lactobacillus, Pseudomonas, and Prevotella, whilst in SAP cases were Cutibacterium, Prevotella, Atopobium, Capnocytophaga, Fusobacterium, Pseudomonas, Solobacterium, and Streptococcus. CONCLUSIONS The results provide additional information on the microbiota of root-canals. These data evidence the complexity of the microbiota and the relationship with many clinical and endodontic conditions. Future studies must evaluate these conditions and identify their role in inducing bone damage and local and systemic disease, aiming to better elucidate the relationship between microbes and endodontic pathologies.
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Affiliation(s)
- Alessio Buonavoglia
- Department of Biomedical and Neuromotor Sciences, Dental School, University of Bologna, Bologna, Italy
| | - Fausto Zamparini
- Department of Biomedical and Neuromotor Sciences, Dental School, University of Bologna, Bologna, Italy
| | - Gianvito Lanave
- Department of Veterinary Medicine, University of Bari, Valenzano, Italy.
| | | | - Georgia Diakoudi
- Department of Veterinary Medicine, University of Bari, Valenzano, Italy
| | - Andrea Spinelli
- Department of Biomedical and Neuromotor Sciences, Dental School, University of Bologna, Bologna, Italy
| | | | - Michele Camero
- Department of Veterinary Medicine, University of Bari, Valenzano, Italy
| | | | - Maria Giovanna Gandolfi
- Department of Biomedical and Neuromotor Sciences, Dental School, University of Bologna, Bologna, Italy
| | - Vito Martella
- Department of Veterinary Medicine, University of Bari, Valenzano, Italy
| | - Carlo Prati
- Department of Biomedical and Neuromotor Sciences, Dental School, University of Bologna, Bologna, Italy
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26
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Applying Metagenomic Analysis Using Nanopore Sequencer (MinION) for Precision Medicine in Bacterial Keratoconjunctivitis: Comprehensive Validation of Molecular Biological and Conventional Examinations. Int J Mol Sci 2023; 24:ijms24032611. [PMID: 36768930 PMCID: PMC9916690 DOI: 10.3390/ijms24032611] [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: 12/06/2022] [Revised: 01/15/2023] [Accepted: 01/18/2023] [Indexed: 02/03/2023] Open
Abstract
Smear microscopic examination and culture of the corneal scrapings are the gold standards for the diagnosis of bacterial keratoconjunctivitis. High-sensitivity molecular biological examinations of the ocular surface specimens are used clinically. However, the results require careful interpretation to avoid the unintentional detection of indigenous bacteria. Results of conventional and state-of-the-art examinations require clinical verification for specificity and sensitivity. In this study, smear microscopic examination, culture, and nanopore sequencing using the MinION of ocular surface specimens from eight clinically diagnosed bacterial keratoconjunctivitis cases were performed and compared. Seven of the eight cases (87.5%) were smear positive and five (62.5%) were culture positive. The former showed the same genus in >60% of the classified reads as one specific bacterium inferred from the smear microscopy when sequenced by the MinION. In two of the three culture-negative cases, the smear-positive images were highly reminiscent of the species comprising most of the MinION sequences. Four of the five culture-positive cases were consistent with the most prevalent bacteria in the sequencing results. Probable contamination among specimens processed on the same day were observed. In conclusion, the microscopic examination of the corneal scraping specimens may be more sensitive and specific than the culture examination. Additionally, although metagenomic analysis using the MinION contributes to more precise medication for bacterial keratoconjunctivitis, contamination can affect the results.
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27
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Chen Y, Mao L, Lai D, Xu W, Zhang Y, Wu S, Yang D, Zhao S, Liu Z, Xiao Y, Tang Y, Meng X, Wang M, Shi J, Chen Q, Shu Q. Improved targeting of the 16S rDNA nanopore sequencing method enables rapid pathogen identification in bacterial pneumonia in children. Front Cell Infect Microbiol 2023; 12:1001607. [PMID: 36699719 PMCID: PMC9868273 DOI: 10.3389/fcimb.2022.1001607] [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: 07/23/2022] [Accepted: 12/19/2022] [Indexed: 01/11/2023] Open
Abstract
Objectives To develop a rapid and low-cost method for 16S rDNA nanopore sequencing. Methods This was a prospective study on a 16S rDNA nanopore sequencing method. We developed this nanopore barcoding 16S sequencing method by adding barcodes to the 16S primer to reduce the reagent cost and simplify the experimental procedure. Twenty-one common pulmonary bacteria (7 reference strains, 14 clinical isolates) and 94 samples of bronchoalveolar lavage fluid from children with severe pneumonia were tested. Results indicating low-abundance pathogenic bacteria were verified with the polymerase chain reaction (PCR). Further, the results were compared with those of culture or PCR. Results The turnaround time was shortened to 6~8 hours and the reagent cost of DNA preparation was reduced by employing a single reaction adding barcodes to the 16S primer in advance. The accuracy rate for the 21 common pulmonary pathogens with an abundance ≥ 99% was 100%. Applying the culture or PCR results as the gold standard, 71 (75.5%) of the 94 patients were positive, including 25 positive cultures (26.6%) and 52 positive quantitative PCRs (55.3%). The median abundance in the positive culture and qPCR samples were 29.9% and 6.7%, respectively. With an abundance threshold increase of 1%, 5%, 10%, 15% and 20%, the test sensitivity decreased gradually to 98.6%, 84.9%, 72.6%, 67.1% and 64.4%, respectively, and the test specificity increased gradually to 33.3%, 71.4%, 81.0%, 90.5% and 100.0%, respectively. Conclusions The nanopore barcoding 16S sequencing method can rapidly identify the pathogens causing bacterial pneumonia in children.
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Affiliation(s)
- Yinghu Chen
- The Children’s Hospital, Zhejiang University School of Medicine, Hangzhou, China,National Clinical Research Center for Child Health, Hangzhou, China,Joint Research Center for Molecular Diagnosis of Severe Infection in Children, Binjiang Institute of Zhejiang University, Hangzhou, China
| | - Lingfeng Mao
- Joint Research Center for Molecular Diagnosis of Severe Infection in Children, Binjiang Institute of Zhejiang University, Hangzhou, China
| | - Dengming Lai
- The Children’s Hospital, Zhejiang University School of Medicine, Hangzhou, China,National Clinical Research Center for Child Health, Hangzhou, China,Joint Research Center for Molecular Diagnosis of Severe Infection in Children, Binjiang Institute of Zhejiang University, Hangzhou, China
| | - Weize Xu
- The Children’s Hospital, Zhejiang University School of Medicine, Hangzhou, China,National Clinical Research Center for Child Health, Hangzhou, China,Joint Research Center for Molecular Diagnosis of Severe Infection in Children, Binjiang Institute of Zhejiang University, Hangzhou, China
| | - Yuebai Zhang
- The Children’s Hospital, Zhejiang University School of Medicine, Hangzhou, China,National Clinical Research Center for Child Health, Hangzhou, China
| | - Sihao Wu
- Joint Research Center for Molecular Diagnosis of Severe Infection in Children, Binjiang Institute of Zhejiang University, Hangzhou, China
| | - Di Yang
- Joint Research Center for Molecular Diagnosis of Severe Infection in Children, Binjiang Institute of Zhejiang University, Hangzhou, China
| | - Shaobo Zhao
- The Children’s Hospital, Zhejiang University School of Medicine, Hangzhou, China,National Clinical Research Center for Child Health, Hangzhou, China
| | - Zhicong Liu
- The Children’s Hospital, Zhejiang University School of Medicine, Hangzhou, China,National Clinical Research Center for Child Health, Hangzhou, China
| | - Yi Xiao
- The Children’s Hospital, Zhejiang University School of Medicine, Hangzhou, China,National Clinical Research Center for Child Health, Hangzhou, China
| | - Yi Tang
- Joint Research Center for Molecular Diagnosis of Severe Infection in Children, Binjiang Institute of Zhejiang University, Hangzhou, China
| | - Xiaofang Meng
- Joint Research Center for Molecular Diagnosis of Severe Infection in Children, Binjiang Institute of Zhejiang University, Hangzhou, China
| | - Min Wang
- Joint Research Center for Molecular Diagnosis of Severe Infection in Children, Binjiang Institute of Zhejiang University, Hangzhou, China
| | - Jueliang Shi
- Joint Research Center for Molecular Diagnosis of Severe Infection in Children, Binjiang Institute of Zhejiang University, Hangzhou, China
| | - Qixing Chen
- The Children’s Hospital, Zhejiang University School of Medicine, Hangzhou, China,National Clinical Research Center for Child Health, Hangzhou, China,Joint Research Center for Molecular Diagnosis of Severe Infection in Children, Binjiang Institute of Zhejiang University, Hangzhou, China,*Correspondence: Qixing Chen, ; Qiang Shu,
| | - Qiang Shu
- The Children’s Hospital, Zhejiang University School of Medicine, Hangzhou, China,National Clinical Research Center for Child Health, Hangzhou, China,Joint Research Center for Molecular Diagnosis of Severe Infection in Children, Binjiang Institute of Zhejiang University, Hangzhou, China,*Correspondence: Qixing Chen, ; Qiang Shu,
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28
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Martin S, Ayling M, Patrono L, Caccamo M, Murcia P, Leggett RM. Capturing variation in metagenomic assembly graphs with MetaCortex. Bioinformatics 2023; 39:6986127. [PMID: 36722204 PMCID: PMC9889960 DOI: 10.1093/bioinformatics/btad020] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2022] [Revised: 11/10/2022] [Accepted: 01/11/2023] [Indexed: 01/13/2023] Open
Abstract
MOTIVATION The assembly of contiguous sequence from metagenomic samples presents a particular challenge, due to the presence of multiple species, often closely related, at varying levels of abundance. Capturing diversity within species, for example, viral haplotypes, or bacterial strain-level diversity, is even more challenging. RESULTS We present MetaCortex, a metagenome assembler that captures intra-species diversity by searching for signatures of local variation along assembled sequences in the underlying assembly graph and outputting these sequences in sequence graph format. We show that MetaCortex produces accurate assemblies with higher genome coverage and contiguity than other popular metagenomic assemblers on mock viral communities with high levels of strain-level diversity and on simulated communities containing simulated strains. AVAILABILITY AND IMPLEMENTATION Source code is freely available to download from https://github.com/SR-Martin/metacortex, is implemented in C and supported on MacOS and Linux. The version used for the results presented in this article is available at doi.org/10.5281/zenodo.7273627. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
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Affiliation(s)
| | | | | | | | - Pablo Murcia
- MRC-University of Glasgow Centre for Virus Research, Glasgow G61 1QH, UK
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Vereecke N, Van Hoorde S, Sperling D, Theuns S, Devriendt B, Cox E. Virotyping and genetic antimicrobial susceptibility testing of porcine ETEC/STEC strains and associated plasmid types. Front Microbiol 2023; 14:1139312. [PMID: 37143544 PMCID: PMC10151945 DOI: 10.3389/fmicb.2023.1139312] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2023] [Accepted: 03/13/2023] [Indexed: 05/06/2023] Open
Abstract
Introduction Enterotoxigenic Escherichia coli (ETEC) infections are the most common cause of secretory diarrhea in suckling and post-weaning piglets. For the latter, Shiga toxin-producing Escherichia coli (STEC) also cause edema disease. This pathogen leads to significant economic losses. ETEC/STEC strains can be distinguished from general E. coli by the presence of different host colonization factors (e.g., F4 and F18 fimbriae) and various toxins (e.g., LT, Stx2e, STa, STb, EAST-1). Increased resistance against a wide variety of antimicrobial drugs, such as paromomycin, trimethoprim, and tetracyclines, has been observed. Nowadays, diagnosing an ETEC/STEC infection requires culture-dependent antimicrobial susceptibility testing (AST) and multiplex PCRs, which are costly and time-consuming. Methods Here, nanopore sequencing was used on 94 field isolates to assess the predictive power, using the meta R package to determine sensitivity and specificity and associated credibility intervals of genotypes associated with virulence and AMR. Results Genetic markers associated with resistance for amoxicillin (plasmid-encoded TEM genes), cephalosporins (ampC promoter mutations), colistin (mcr genes), aminoglycosides (aac(3) and aph(3) genes), florfenicol (floR), tetracyclines (tet genes), and trimethoprim-sulfa (dfrA genes) could explain most acquired resistance phenotypes. Most of the genes were plasmid-encoded, of which some collocated on a multi-resistance plasmid (12 genes against 4 antimicrobial classes). For fluoroquinolones, AMR was addressed by point mutations within the ParC and GyrA proteins and the qnrS1 gene. In addition, long-read data allowed to study the genetic landscape of virulence- and AMR-carrying plasmids, highlighting a complex interplay of multi-replicon plasmids with varying host ranges. Conclusion Our results showed promising sensitivity and specificity for the detection of all common virulence factors and most resistance genotypes. The use of the identified genetic hallmarks will contribute to the simultaneous identification, pathotyping, and genetic AST within a single diagnostic test. This will revolutionize future quicker and more cost-efficient (meta)genomics-driven diagnostics in veterinary medicine and contribute to epidemiological studies, monitoring, tailored vaccination, and management.
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Affiliation(s)
- Nick Vereecke
- Laboratory of Virology, Department of Translational Physiology, Infectiology and Public Health, Faculty of Veterinary Medicine, Ghent University, Merelbeke, Belgium
- PathoSense BV, Lier, Belgium
- *Correspondence: Nick Vereecke,
| | - Sander Van Hoorde
- Laboratory of Immunology, Department of Translational Physiology, Infectiology and Public Health, Faculty of Veterinary Medicine, Ghent University, Merelbeke, Belgium
| | | | - Sebastiaan Theuns
- Laboratory of Virology, Department of Translational Physiology, Infectiology and Public Health, Faculty of Veterinary Medicine, Ghent University, Merelbeke, Belgium
| | - Bert Devriendt
- Laboratory of Immunology, Department of Translational Physiology, Infectiology and Public Health, Faculty of Veterinary Medicine, Ghent University, Merelbeke, Belgium
| | - Eric Cox
- Laboratory of Immunology, Department of Translational Physiology, Infectiology and Public Health, Faculty of Veterinary Medicine, Ghent University, Merelbeke, Belgium
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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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Morsli M, Boudet A, Kerharo Q, Stephan R, Salipante F, Dunyach-Remy C, Houhamdi L, Fournier PE, Lavigne JP, Drancourt M. Real-time metagenomics-based diagnosis of community-acquired meningitis: A prospective series, southern France. EBioMedicine 2022; 84:104247. [PMID: 36087524 PMCID: PMC9463524 DOI: 10.1016/j.ebiom.2022.104247] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Revised: 08/16/2022] [Accepted: 08/16/2022] [Indexed: 11/05/2022] Open
Abstract
BACKGROUND Point-Of-Care (POC) diagnosis of life-threatening community-acquired meningitis currently relies on multiplexed RT-PCR assays, that lack genotyping and antibiotic susceptibility profiling. We assessed the usefulness of real-time metagenomics (RTM) directly applied to the cerebrospinal fluid (CSF) for the identification, typing and susceptibility profiling of pathogens responsible for community-acquired meningitis. METHODS A series of 52 CSF samples from patients suspected of having community-acquired meningitis, were investigated at POC by direct RTM in parallel to routine real-time multiplex PCR (RT-PCR) and bacterial culture, for the detection of pathogens. RTM-generated sequences were blasted in real-time against an in-house database incorporating the panel of 12 most prevalent pathogens and against NCBI using EPI2ME online software, for pathogen identification. In-silico antibiogram and genotype prediction were determined using the ResFinder bio-tool and MLST online software. FINDINGS Over eight months, routine multiplex RT-PCR yielded 49/52 positive CSFs, including 21 Streptococcus pneumoniae, nine Neisseria meningitidis, eight Haemophilus influenzae, three Streptococcus agalactiae, three Herpesvirus-1, two Listeria monocytogenes, and one each of Escherichia coli, Staphylococcus aureus and Varicella-Zoster Virus. Parallel RTM agreed with the results of 47/52 CSFs and revealed two discordant multiplex RT-PCR false positives, one H. influenzae and one S. pneumoniae. Both multiplex RT-PCR and RTM agreed on the negativity of three CSFs. While multiplex RT-PCR routinely took 90 min, RTM took 120 min, although the pipeline analysis detected the pathogen genome after 20 min of sequencing in 33 CSF samples; and after two hours in 14 additional CSFs; yielding > 50% genome coverage in 19 CSFs. RTM identified 14 pathogen genotypes, including a majority of H. influenzae b, N. meningitidis B and S. pneumoniae 11A and 3A. In all 16 susceptible cultured bacteria, the in-silico antibiogram agreed with the in-vitro antibiogram in 10 cases, available within 48 h in routine bacteriology. INTERPRETATION In addition to pathogen detection, RTM applied to CSF samples offered supplementary information on bacterial profiling and genotyping. These data provide the proof-of-concept that RTM could be implemented in a POC laboratory for one-shot diagnostic and genomic surveillance of pathogens responsible for life-threatening meningitis. FUNDING This work was supported by the French Government under the Investments in the Future programme managed by the National Agency for Research reference: Méditerranée Infection 10-IAHU-03.
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Affiliation(s)
- Madjid Morsli
- IHU Méditerranée Infection, Marseille, France; IRD, MEPHI, IHU Méditerranée Infection, Aix-Marseille-Université, France
| | - Agathe Boudet
- VBIC, INSERM U 1047, Université de Montpellier, France; Service de Microbiologie et Hygiène Hospitalière, CHU Nîmes, Nîmes, France
| | - Quentin Kerharo
- IHU Méditerranée Infection, Marseille, France; Laboratoire de Microbiologie, Assistance Publique-Hôpitaux de Marseille, IHU, Méditerranée Infection, Marseille, France
| | - Robin Stephan
- Service de Microbiologie et Hygiène Hospitalière, CHU Nîmes, Nîmes, France
| | - Florian Salipante
- Service de Microbiologie et Hygiène Hospitalière, CHU Nîmes, Nîmes, France; Service de Biostatistique, Epidémiologie, Santé Publique, Innovation en Méthodologie, CHU Nîmes, Nîmes, France
| | - Catherine Dunyach-Remy
- VBIC, INSERM U 1047, Université de Montpellier, France; Service de Microbiologie et Hygiène Hospitalière, CHU Nîmes, Nîmes, France
| | | | - Pierre-Edouard Fournier
- IHU Méditerranée Infection, Marseille, France; VITROME, IHU Méditerranée Infection, Aix-Marseille Université, Marseille, France
| | - Jean Philippe Lavigne
- VBIC, INSERM U 1047, Université de Montpellier, France; Service de Microbiologie et Hygiène Hospitalière, CHU Nîmes, Nîmes, France
| | - Michel Drancourt
- IHU Méditerranée Infection, Marseille, France; IRD, MEPHI, IHU Méditerranée Infection, Aix-Marseille-Université, France; Laboratoire de Microbiologie, Assistance Publique-Hôpitaux de Marseille, IHU, Méditerranée Infection, Marseille, France.
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Ju Y, Pu M, Sun K, Song G, Geng J. Nanopore Electrochemistry for Pathogen Detection. Chem Asian J 2022; 17:e202200774. [PMID: 36069587 DOI: 10.1002/asia.202200774] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2022] [Revised: 09/06/2022] [Indexed: 11/05/2022]
Abstract
Pathogen infections have seriously threatened human health, and there is an urgent demand for rapid and efficient pathogen identification to provide instructions in clinical diagnosis and therapeutic intervention. Recently, nanopore technology, a rapidly maturing technology which delivers ultrasensitive sensing and high throughput in real-time and at low cost, has achieved success in pathogen detection. Furthermore, the remarkable development of nanopore sequencing, for example, the MinION sequencer from Oxford Nanopore Technologies (ONT) as a competitive sequencing technology, has facilitated the rapid analysis of disease-related microbiomes at the whole-genome level and on a large scale. Here, we highlighted recent advances in nanopore approaches for pathogen detection at the single-molecule level. We also overviewed the applications of nanopore sequencing in pathogenic bacteria identification and diagnosis. In the end, we discussed the challenges and future developments of nanopore technology as promising tools for the management of infections, which may be helpful to aid understanding as well as decision-making.
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Affiliation(s)
- Yuan Ju
- Sichuan University, Sichuan University Library, CHINA
| | - Mengjun Pu
- Sichuan University, Department of Laboratory Medicine, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University and Collaborative Innovation Center, CHINA
| | - Ke Sun
- Sichuan University, Department of Laboratory Medicine, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University and Collaborative Innovation Center, CHINA
| | - Guiqin Song
- North Sichuan Medical College [Search North Sichuan Medical College]: North Sichuan Medical University, Shool of Basic Medical Sciences and Forensic Medicine, CHINA
| | - Jia Geng
- Sichuan University, State Key Laboratory of Biotherapy, No 17 Section 3 of South Renmin Rd, 610040, Chengdu, CHINA
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Nanopore metatranscriptomics reveals cryptic catfish species as potential Shigella flexneri vectors in Kenya. Sci Rep 2022; 12:13875. [PMID: 35974032 PMCID: PMC9380665 DOI: 10.1038/s41598-022-17036-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2022] [Accepted: 07/20/2022] [Indexed: 11/26/2022] Open
Abstract
Bacteria in the Shigella genus remain a major cause of dysentery in sub-Saharan Africa, and annually cause an estimated 600,000 deaths worldwide. Being spread by contaminated food and water, this study highlights how wild caught food, in the form of freshwater catfish, can act as vectors for Shigella flexneri in Southern Kenya. A metatranscriptomic approach was used to identify the presence of Shigella flexneri in the catfish which had been caught for consumption from the Galana river. The use of nanopore sequencing was shown to be a simple and effective method to highlight the presence of Shigella flexneri and could represent a potential new tool in the detection and prevention of this deadly pathogen. Rather than the presence/absence results of more traditional testing methods, the use of metatranscriptomics highlighted how primarily one SOS response gene was being transcribed, suggesting the bacteria may be dormant in the catfish. Additionally, COI sequencing of the vector catfish revealed they likely represent a cryptic species. Morphological assignment suggested the fish were widehead catfish Clarotes laticeps, which range across Africa, but the COI sequences from the Kenyan fish are distinctly different from C. laticeps sequenced in West Africa.
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Rapid Oxford Nanopore Technologies MinION Sequencing Workflow for Campylobacter jejuni Identification in Broilers on Site—A Proof-of-Concept Study. Animals (Basel) 2022; 12:ani12162065. [PMID: 36009653 PMCID: PMC9405271 DOI: 10.3390/ani12162065] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2022] [Revised: 07/04/2022] [Accepted: 08/10/2022] [Indexed: 12/03/2022] Open
Abstract
Campylobacter is recognised as one of the most important foodborne bacteria, with a worldwide health and socioeconomic impact. This bacterium is one of the most important zoonotic players in poultry, where efficient and fast detection methods are required. Current official culture methods for Campylobacter enumeration in poultry usually include >44 h of culture and >72 h for identification, thus requiring at least five working shifts (ISO/TS 10272-2:2017). Here, we have assembled a portable sequencing kit composed of the Bento Lab and the MinION and developed a workflow for on-site farm use that is able to detect and report the presence of Campylobacter from caecal samples in less than five hours from sampling time, as well as the relationship of Campylobacter with other caecal microbes. Beyond that, our workflow may offer a cost-effective and practical method of microbiologically monitoring poultry at the farm. These results would demonstrate the possibility of carrying out rapid on-site screening to monitor the health status of the poultry farm/flock during the production chain.
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Bouchiat C, Ginevra C, Benito Y, Gaillard T, Salord H, Dauwalder O, Laurent F, Vandenesch F. Improving the Diagnosis of Bacterial Infections: Evaluation of 16S rRNA Nanopore Metagenomics in Culture-Negative Samples. Front Microbiol 2022; 13:943441. [PMID: 35910644 PMCID: PMC9329087 DOI: 10.3389/fmicb.2022.943441] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2022] [Accepted: 06/17/2022] [Indexed: 11/29/2022] Open
Abstract
While 16S rRNA PCR-Sanger sequencing has paved the way for the diagnosis of culture-negative bacterial infections, it does not provide the composition of polymicrobial infections. We aimed to evaluate the performance of the Nanopore-based 16S rRNA metagenomic approach, using both partial and full-length amplification of the gene, and to explore its feasibility and suitability as a routine diagnostic tool for bacterial infections in a clinical laboratory. Thirty-one culture-negative clinical samples from mono- and polymicrobial infections based on Sanger-sequencing results were sequenced on MinION using both the in-house partial amplification and the Nanopore dedicated kit for the full-length amplification of the 16S rRNA gene. Contamination, background noise definition, bacterial identification, and time-effectiveness issues were addressed. Cost optimization was also investigated with the miniaturized version of the flow cell (Flongle). The partial 16S approach had a greater sensitivity compared to the full-length kit that detected bacterial DNA in only 24/31 (77.4%) samples. Setting a threshold of 1% of total reads overcame the background noise issue and eased the interpretation of clinical samples. Results were obtained within 1 day, discriminated polymicrobial samples, and gave accurate bacterial identifications compared to Sanger-based results. We also found that multiplexing and using Flongle flow cells was a cost-effective option. The results confirm that Nanopore technology is user-friendly as well as cost- and time-effective. They also indicate that 16S rRNA targeted metagenomics is a suitable approach to be implemented for the routine diagnosis of culture-negative samples in clinical laboratories.
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Affiliation(s)
- Coralie Bouchiat
- Laboratoire de Bactériologie, Institut des Agents Infectieux, Biologie Moléculaire, Hospices Civils de Lyon, Lyon, France
- Equipe Inserm U1111, Centre International de Recherche en Infectiologie, Université de Lyon, Université Claude Bernard Lyon 1, CNRS, UMR5308, ENS de Lyon, Lyon, France
- *Correspondence: Coralie Bouchiat
| | - Christophe Ginevra
- Centre National de Référence des Légionelles, Institut des Agents Infectieux, Hospices Civils de Lyon, Lyon, France
| | - Yvonne Benito
- Laboratoire de Bactériologie, Institut des Agents Infectieux, Biologie Moléculaire, Hospices Civils de Lyon, Lyon, France
| | - Tiphaine Gaillard
- Laboratoire de Bactériologie, Institut des Agents Infectieux, Biologie Moléculaire, Hospices Civils de Lyon, Lyon, France
- Laboratoire de biologie médicale, Hôpital d'Instruction des Armées Desgenettes, Service de Santé des Armées, Lyon, France
| | - Hélène Salord
- Laboratoire de Bactériologie, Institut des Agents Infectieux, Biologie Moléculaire, Hospices Civils de Lyon, Lyon, France
| | - Olivier Dauwalder
- Laboratoire de Bactériologie, Institut des Agents Infectieux, Biologie Moléculaire, Hospices Civils de Lyon, Lyon, France
| | - Frédéric Laurent
- Laboratoire de Bactériologie, Institut des Agents Infectieux, Biologie Moléculaire, Hospices Civils de Lyon, Lyon, France
- Equipe Inserm U1111, Centre International de Recherche en Infectiologie, Université de Lyon, Université Claude Bernard Lyon 1, CNRS, UMR5308, ENS de Lyon, Lyon, France
| | - François Vandenesch
- Laboratoire de Bactériologie, Institut des Agents Infectieux, Biologie Moléculaire, Hospices Civils de Lyon, Lyon, France
- Equipe Inserm U1111, Centre International de Recherche en Infectiologie, Université de Lyon, Université Claude Bernard Lyon 1, CNRS, UMR5308, ENS de Lyon, Lyon, France
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Fuesslin V, Krautwurst S, Srivastava A, Winter D, Liedigk B, Thye T, Herrera-León S, Wohl S, May J, Fobil JN, Eibach D, Marz M, Schuldt K. Prediction of Antibiotic Susceptibility Profiles of Vibrio cholerae Isolates From Whole Genome Illumina and Nanopore Sequencing Data: CholerAegon. Front Microbiol 2022; 13:909692. [PMID: 35814690 PMCID: PMC9257098 DOI: 10.3389/fmicb.2022.909692] [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: 03/31/2022] [Accepted: 05/02/2022] [Indexed: 12/01/2022] Open
Abstract
During the last decades, antimicrobial resistance (AMR) has become a global public health concern. Nowadays multi-drug resistance is commonly observed in strains of Vibrio cholerae, the etiological agent of cholera. In order to limit the spread of pathogenic drug-resistant bacteria and to maintain treatment options the analysis of clinical samples and their AMR profiles are essential. Particularly, in low-resource settings a timely analysis of AMR profiles is often impaired due to lengthy culturing procedures for antibiotic susceptibility testing or lack of laboratory capacity. In this study, we explore the applicability of whole genome sequencing for the prediction of AMR profiles of V. cholerae. We developed the pipeline CholerAegon for the in silico prediction of AMR profiles of 82 V. cholerae genomes assembled from long and short sequencing reads. By correlating the predicted profiles with results from phenotypic antibiotic susceptibility testing we show that the prediction can replace in vitro susceptibility testing for five of seven antibiotics. Because of the relatively low costs, possibility for real-time data analyses, and portability, the Oxford Nanopore Technologies MinION sequencing platform-especially in light of an upcoming less error-prone technology for the platform-appears to be well suited for pathogen genomic analyses such as the one described here. Together with CholerAegon, it can leverage pathogen genomics to improve disease surveillance and to control further spread of antimicrobial resistance.
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Affiliation(s)
- Valeria Fuesslin
- Infectious Disease Epidemiology Department, Bernhard Nocht Institute for Tropical Medicine, Hamburg, Germany
| | - Sebastian Krautwurst
- RNA Bioinformatics and High-Throughput Analysis, Friedrich Schiller University Jena, Jena, Germany
| | - Akash Srivastava
- RNA Bioinformatics and High-Throughput Analysis, Friedrich Schiller University Jena, Jena, Germany
| | - Doris Winter
- Infectious Disease Epidemiology Department, Bernhard Nocht Institute for Tropical Medicine, Hamburg, Germany
- German Center for Infection Research (DZIF), Hamburg-Lübeck-Borstel-Riems, Hamburg, Germany
| | - Britta Liedigk
- Infectious Disease Epidemiology Department, Bernhard Nocht Institute for Tropical Medicine, Hamburg, Germany
| | - Thorsten Thye
- Infectious Disease Epidemiology Department, Bernhard Nocht Institute for Tropical Medicine, Hamburg, Germany
| | - Silvia Herrera-León
- National Center of Microbiology, Institute of Health Carlos III, Madrid, Spain
| | - Shirlee Wohl
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States
| | - Jürgen May
- Infectious Disease Epidemiology Department, Bernhard Nocht Institute for Tropical Medicine, Hamburg, Germany
- German Center for Infection Research (DZIF), Hamburg-Lübeck-Borstel-Riems, Hamburg, Germany
- Tropical Medicine II, University Medical Center Hamburg-Eppendorf (UKE), Hamburg, Germany
| | - Julius N. Fobil
- Department of Biological, Environmental and Occupational Health Sciences, School of Public Health, University of Ghana, Accra, Ghana
| | - Daniel Eibach
- Infectious Disease Epidemiology Department, Bernhard Nocht Institute for Tropical Medicine, Hamburg, Germany
| | - Manja Marz
- RNA Bioinformatics and High-Throughput Analysis, Friedrich Schiller University Jena, Jena, Germany
| | - Kathrin Schuldt
- Infectious Disease Epidemiology Department, Bernhard Nocht Institute for Tropical Medicine, Hamburg, Germany
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Boudar Z, Sehli S, El Janahi S, Al Idrissi N, Hamdi S, Dini N, Brim H, Amzazi S, Nejjari C, Lloyd-Puryear M, Ghazal H. Metagenomics Approaches to Investigate the Neonatal Gut Microbiome. Front Pediatr 2022; 10:886627. [PMID: 35799697 PMCID: PMC9253679 DOI: 10.3389/fped.2022.886627] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Accepted: 05/23/2022] [Indexed: 12/03/2022] Open
Abstract
Early infancy is critical for the development of an infant's gut flora. Many factors can influence microbiota development during the pre- and postnatal periods, including maternal factors, antibiotic exposure, mode of delivery, dietary patterns, and feeding type. Therefore, investigating the connection between these variables and host and microbiome interactions in neonatal development would be of great interest. As the "unculturable" era of microbiome research gives way to an intrinsically multidisciplinary field, microbiome research has reaped the advantages of technological advancements in next-generation sequencing, particularly 16S rRNA gene amplicon and shotgun sequencing, which have considerably expanded our knowledge about gut microbiota development during early life. Using omics approaches to explore the neonatal microbiome may help to better understand the link between the microbiome and newborn diseases. Herein, we summarized the metagenomics methods and tools used to advance knowledge on the neonatal microbiome origin and evolution and how the microbiome shapes early and late individuals' lives for health and disease. The way to overcome limitations in neonatal microbiome studies will be discussed.
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Affiliation(s)
- Zakia Boudar
- Department of Fundamental Sciences, School of Medicine, Mohammed VI University of Health Sciences, Casablanca, Morocco
| | - Sofia Sehli
- Department of Fundamental Sciences, School of Medicine, Mohammed VI University of Health Sciences, Casablanca, Morocco
| | - Sara El Janahi
- Department of Fundamental Sciences, School of Medicine, Mohammed VI University of Health Sciences, Casablanca, Morocco
| | - Najib Al Idrissi
- Department of Surgery, Faculty of Medicine, Mohammed VI University of Health Sciences (UM6SS), Casablanca, Morocco
| | - Salsabil Hamdi
- Laboratory of Genomics and Bioinformatics, School of Pharmacy, Mohammed VI University of Health Sciences (UM6SS), Casablanca, Morocco
| | - Nouzha Dini
- Mother and Child Department, Cheikh Khalifa International University Hospital, Mohammed VI University of Health Sciences (UM6SS), Casablanca, Morocco
| | - Hassan Brim
- Department of Pathology, Howard University, Washington, DC, United States
| | - Saaïd Amzazi
- Laboratory of Human Pathologies Biology, Department of Biology, Faculty of Sciences, and Genomic Center of Human Pathologies, Faculty of Medicine and Pharmacy, Mohammed V University, Rabat, Morocco
| | - Chakib Nejjari
- Department of Epidemiology and Biostatistics, International School of Public Health, Mohammed VI University of Health Sciences, Casablanca, Morocco
- Department of Epidemiology and Public Health, Faculty of Medicine, University Sidi Mohammed Ben Abdellah, Fez, Morocco
| | | | - Hassan Ghazal
- Department of Fundamental Sciences, School of Medicine, Mohammed VI University of Health Sciences, Casablanca, Morocco
- National Center for Scientific and Technical Research, Rabat, Morocco
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Zhang L, Huang W, Zhang S, Li Q, Wang Y, Chen T, Jiang H, Kong D, Lv Q, Zheng Y, Ren Y, Liu P, Jiang Y, Chen Y. Rapid Detection of Bacterial Pathogens and Antimicrobial Resistance Genes in Clinical Urine Samples With Urinary Tract Infection by Metagenomic Nanopore Sequencing. Front Microbiol 2022; 13:858777. [PMID: 35655992 PMCID: PMC9152355 DOI: 10.3389/fmicb.2022.858777] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2022] [Accepted: 04/11/2022] [Indexed: 12/24/2022] Open
Abstract
Urinary tract infections (UTIs) are among the most common acquired bacterial infections in humans. The current gold standard method for identification of uropathogens in clinical laboratories is cultivation. However, culture-based assays have substantial drawbacks, including long turnaround time and limited culturability of many potential pathogens. Nanopore sequencing technology can overcome these limitations and detect pathogens while also providing reliable predictions of drug susceptibility in clinical samples. Here, we optimized a metagenomic nanopore sequencing (mNPS) test for pathogen detection and identification in urine samples of 76 patients with acute uncomplicated UTIs. We first used twenty of these samples to show that library preparation by the PCR Barcoding Kit (PBK) led to the highest agreement of positive results with gold standard clinical culture tests, and enabled antibiotic resistance detection in downstream analyses. We then compared the detection results of mNPS with those of culture-based diagnostics and found that mNPS sensitivity and specificity of detection were 86.7% [95% confidence interval (CI), 73.5-94.1%] and 96.8% (95% CI, 82.4-99.9%), respectively, indicating that the mNPS method is a valid approach for rapid and specific detection of UTI pathogens. The mNPS results also performed well at predicting antibiotic susceptibility phenotypes. These results demonstrate that our workflow can accurately diagnose UTI-causative pathogens and enable successful prediction of drug-resistant phenotypes within 6 h of sample receipt. Rapid mNPS testing is thus a promising clinical diagnostic tool for infectious diseases, based on clinical urine samples from UTI patients, and shows considerable potential for application in other clinical infections.
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Affiliation(s)
- Lei Zhang
- College of Life Science, Yantai University, Yantai, China.,State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Academy of Military Medical Sciences, Beijing, China
| | - Wenhua Huang
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Academy of Military Medical Sciences, Beijing, China
| | - Shengwei Zhang
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Academy of Military Medical Sciences, Beijing, China.,Department of Clinical Laboratory, Dongfang Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Qian Li
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Academy of Military Medical Sciences, Beijing, China
| | - Ye Wang
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Academy of Military Medical Sciences, Beijing, China
| | - Ting Chen
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Academy of Military Medical Sciences, Beijing, China
| | - Hua Jiang
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Academy of Military Medical Sciences, Beijing, China
| | - Decong Kong
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Academy of Military Medical Sciences, Beijing, China
| | - Qingyu Lv
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Academy of Military Medical Sciences, Beijing, China
| | - Yuling Zheng
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Academy of Military Medical Sciences, Beijing, China
| | - Yuhao Ren
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Academy of Military Medical Sciences, Beijing, China
| | - Peng Liu
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Academy of Military Medical Sciences, Beijing, China
| | - Yongqiang Jiang
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Academy of Military Medical Sciences, Beijing, China
| | - Ying Chen
- College of Life Science, Yantai University, Yantai, China
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Anthony WE, Wang B, Sukhum KV, D'Souza AW, Hink T, Cass C, Seiler S, Reske KA, Coon C, Dubberke ER, Burnham CAD, Dantas G, Kwon JH. Acute and persistent effects of commonly used antibiotics on the gut microbiome and resistome in healthy adults. Cell Rep 2022; 39:110649. [PMID: 35417701 PMCID: PMC9066705 DOI: 10.1016/j.celrep.2022.110649] [Citation(s) in RCA: 58] [Impact Index Per Article: 29.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2021] [Revised: 01/07/2022] [Accepted: 03/17/2022] [Indexed: 02/09/2023] Open
Abstract
Antibiotics are deployed against bacterial pathogens, but their targeting of conserved microbial processes means they also collaterally perturb the commensal microbiome. To understand acute and persistent effects of antibiotics on the gut microbiota of healthy adult volunteers, we quantify microbiome dynamics before, during, and 6 months after exposure to 4 commonly used antibiotic regimens. We observe an acute decrease in species richness and culturable bacteria after antibiotics, with most healthy adult microbiomes returning to pre-treatment species richness after 2 months, but with an altered taxonomy, resistome, and metabolic output, as well as an increased antibiotic resistance burden. Azithromycin delays the recovery of species richness, resulting in greater compositional distance. A subset of volunteers experience a persistent reduction in microbiome diversity after antibiotics and share compositional similarities with patients hospitalized in intensive care units. These results improve our quantitative understanding of the impact of antibiotics on commensal microbiome dynamics, resilience, and recovery.
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Affiliation(s)
- Winston E Anthony
- The Edison Family Center for Genome Sciences & Systems Biology, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Bin Wang
- The Edison Family Center for Genome Sciences & Systems Biology, Washington University School of Medicine, St. Louis, MO 63110, USA; Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Kimberley V Sukhum
- The Edison Family Center for Genome Sciences & Systems Biology, Washington University School of Medicine, St. Louis, MO 63110, USA; Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Alaric W D'Souza
- The Edison Family Center for Genome Sciences & Systems Biology, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Tiffany Hink
- Department of Medicine, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Candice Cass
- Department of Medicine, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Sondra Seiler
- Department of Medicine, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Kimberly A Reske
- Department of Medicine, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Christopher Coon
- Department of Medicine, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Erik R Dubberke
- Department of Medicine, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Carey-Ann D Burnham
- Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, MO 63110, USA; Department of Molecular Microbiology, Washington University School of Medicine, St. Louis, MO 63110, USA; Department of Medicine, Washington University School of Medicine, St. Louis, MO 63110, USA.
| | - Gautam Dantas
- The Edison Family Center for Genome Sciences & Systems Biology, Washington University School of Medicine, St. Louis, MO 63110, USA; Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, MO 63110, USA; Department of Molecular Microbiology, Washington University School of Medicine, St. Louis, MO 63110, USA; Department of Biomedical Engineering, Washington University in St. Louis, St. Louis, MO 63130, USA.
| | - Jennie H Kwon
- Department of Medicine, Washington University School of Medicine, St. Louis, MO 63110, USA.
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40
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Avershina E, Frye SA, Ali J, Taxt AM, Ahmad R. Ultrafast and Cost-Effective Pathogen Identification and Resistance Gene Detection in a Clinical Setting Using Nanopore Flongle Sequencing. Front Microbiol 2022; 13:822402. [PMID: 35369431 PMCID: PMC8970966 DOI: 10.3389/fmicb.2022.822402] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2021] [Accepted: 01/27/2022] [Indexed: 02/04/2023] Open
Abstract
Rapid bacterial identification and antimicrobial resistance gene (ARG) detection are crucial for fast optimization of antibiotic treatment, especially for septic patients where each hour of delayed antibiotic prescription might have lethal consequences. This work investigates whether the Oxford Nanopore Technology’s (ONT) Flongle sequencing platform is suitable for real-time sequencing directly from blood cultures to identify bacteria and detect resistance-encoding genes. For the analysis, we used pure bacterial cultures of four clinical isolates of Escherichia coli and Klebsiella pneumoniae and two blood samples spiked with either E. coli or K. pneumoniae that had been cultured overnight. We sequenced both the whole genome and plasmids isolated from these bacteria using two different sequencing kits. Generally, Flongle data allow rapid bacterial ID and resistome detection based on the first 1,000–3,000 generated sequences (10 min to 3 h from the sequencing start), albeit ARG variant identification did not always correspond to ONT MinION and Illumina sequencing-based data. Flongle data are sufficient for 99.9% genome coverage within at most 20,000 (clinical isolates) or 50,000 (positive blood cultures) sequences generated. The SQK-LSK110 Ligation kit resulted in higher genome coverage and more accurate bacterial identification than the SQK-RBK004 Rapid Barcode kit.
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Affiliation(s)
- Ekaterina Avershina
- Department of Biotechnology, Inland Norway University of Applied Sciences, Hamar, Norway
| | - Stephan A Frye
- Division of Laboratory Medicine, Department of Microbiology, Oslo University Hospital, Oslo, Norway
| | - Jawad Ali
- Department of Biotechnology, Inland Norway University of Applied Sciences, Hamar, Norway
| | - Arne M Taxt
- Division of Laboratory Medicine, Department of Microbiology, Oslo University Hospital, Oslo, Norway
| | - Rafi Ahmad
- Department of Biotechnology, Inland Norway University of Applied Sciences, Hamar, Norway.,Faculty of Health Sciences, Institute of Clinical Medicine, UiT - The Arctic University of Norway, Tromsø, Norway
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41
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LncRNA Biomarkers of Inflammation and Cancer. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2022; 1363:121-145. [PMID: 35220568 DOI: 10.1007/978-3-030-92034-0_7] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 12/09/2022]
Abstract
Long noncoding RNAs (lncRNAs) are promising candidates as biomarkers of inflammation and cancer. LncRNAs have several properties that make them well-suited as molecular markers of disease: (1) many lncRNAs are expressed in a tissue-specific manner, (2) distinct lncRNAs are upregulated based on different inflammatory or oncogenic stimuli, (3) lncRNAs released from cells are packaged and protected in extracellular vesicles, and (4) circulating lncRNAs in the blood are detectable using various RNA sequencing approaches. Here we focus on the potential for lncRNA biomarkers to detect inflammation and cancer, highlighting key biological, technological, and analytical considerations that will help advance the development of lncRNA-based liquid biopsies.
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42
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Zioutis C, Seki D, Bauchinger F, Herbold C, Berger A, Wisgrill L, Berry D. Ecological Processes Shaping Microbiomes of Extremely Low Birthweight Infants. Front Microbiol 2022; 13:812136. [PMID: 35295290 PMCID: PMC8919028 DOI: 10.3389/fmicb.2022.812136] [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: 11/09/2021] [Accepted: 02/07/2022] [Indexed: 11/23/2022] Open
Abstract
The human microbiome has been implicated in affecting health outcomes in premature infants, but the ecological processes governing early life microbiome assembly remain poorly understood. Here, we investigated microbial community assembly and dynamics in extremely low birth weight infants (ELBWI) over the first 2 weeks of life. We profiled the gut, oral cavity and skin microbiomes over time using 16S rRNA gene amplicon sequencing and evaluated the ecological forces shaping these microbiomes. Though microbiomes at all three body sites were characterized by compositional instability over time and had low body-site specificity (PERMANOVA, r 2 = 0.09, p = 0.001), they could nonetheless be clustered into four discrete community states. Despite the volatility of these communities, deterministic assembly processes were detectable in this period of initial microbial colonization. To further explore these deterministic dynamics, we developed a probabilistic approach in which we modeled microbiome state transitions in each ELBWI as a Markov process, or a "memoryless" shift, from one community state to another. This analysis revealed that microbiomes from different body sites had distinctive dynamics as well as characteristic equilibrium frequencies. Time-resolved microbiome sampling of premature infants may help to refine and inform clinical practices. Additionally, this work provides an analysis framework for microbial community dynamics based on Markov modeling that can facilitate new insights, not only into neonatal microbiomes but also other human-associated or environmental microbiomes.
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Affiliation(s)
- Christos Zioutis
- Division of Microbial Ecology, Department of Microbiology and Ecosystem Science, Centre for Microbiology and Environmental Systems Science, University of Vienna, Vienna, Austria
| | - David Seki
- Division of Microbial Ecology, Department of Microbiology and Ecosystem Science, Centre for Microbiology and Environmental Systems Science, University of Vienna, Vienna, Austria
- Division of Neonatology, Department of Pediatrics and Adolescent Medicine, Pediatric Intensive Care and Neuropediatrics, Comprehensive Center for Pediatrics, Medical University of Vienna, Vienna, Austria
| | - Franziska Bauchinger
- Division of Microbial Ecology, Department of Microbiology and Ecosystem Science, Centre for Microbiology and Environmental Systems Science, University of Vienna, Vienna, Austria
| | - Craig Herbold
- Division of Microbial Ecology, Department of Microbiology and Ecosystem Science, Centre for Microbiology and Environmental Systems Science, University of Vienna, Vienna, Austria
| | - Angelika Berger
- Division of Neonatology, Department of Pediatrics and Adolescent Medicine, Pediatric Intensive Care and Neuropediatrics, Comprehensive Center for Pediatrics, Medical University of Vienna, Vienna, Austria
| | - Lukas Wisgrill
- Division of Neonatology, Department of Pediatrics and Adolescent Medicine, Pediatric Intensive Care and Neuropediatrics, Comprehensive Center for Pediatrics, Medical University of Vienna, Vienna, Austria
| | - David Berry
- Division of Microbial Ecology, Department of Microbiology and Ecosystem Science, Centre for Microbiology and Environmental Systems Science, University of Vienna, Vienna, Austria
- Joint Microbiome Facility of the Medical University of Vienna, University of Vienna, Vienna, Austria
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43
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Yang Y, Che Y, Liu L, Wang C, Yin X, Deng Y, Yang C, Zhang T. Rapid absolute quantification of pathogens and ARGs by nanopore sequencing. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 809:152190. [PMID: 34890655 DOI: 10.1016/j.scitotenv.2021.152190] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/27/2021] [Revised: 11/30/2021] [Accepted: 12/01/2021] [Indexed: 06/13/2023]
Abstract
Compositional nature of relative abundance data in the current standard microbiome studies limits microbial dynamics interpretations and cross-sample comparisons. Here, we demonstrate the first rapid (1-h sequencing) method coupling Nanopore metagenomic sequencing with cellular spike-in to facilitate the absolute quantification and removal assessment of pathogens and antibiotic resistance genes (ARGs) in wastewater treatment plants (WWTPs). Nanopore sequencing-based quantification results for both simple mock community and complex real environmental samples showed a high consistency with those from the widely-used Illumina and culture-based approaches. Implementing such method, we quantified 46 predominant putative pathogenic species, and 361 ARGs in three WWTP sample sets. Though high log removals of dominant pathogens (2.23 logs) and ARGs (1.98 logs) were achieved, complete removal of all pathogens and ARGs were not achieved. Noticeably, Mycobacterium spp., Clostridium_P perfringens, and Borrelia hermsii exhibited low removal, and 13 ARGs even increased in absolute abundance after the treatment. Our proposed approach manifested its profound ability in providing absolute quantitation information guiding wastewater-based epidemiological surveillance and quantitative risk assessment facilitating microbial hazards management.
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Affiliation(s)
- Yu Yang
- Environmental Microbiome Engineering and Biotechnology Laboratory, Centre for Environmental Engineering Research, Department of Civil Engineering, The University of Hong Kong, Hong Kong, China
| | - You Che
- Environmental Microbiome Engineering and Biotechnology Laboratory, Centre for Environmental Engineering Research, Department of Civil Engineering, The University of Hong Kong, Hong Kong, China
| | - Lei Liu
- Environmental Microbiome Engineering and Biotechnology Laboratory, Centre for Environmental Engineering Research, Department of Civil Engineering, The University of Hong Kong, Hong Kong, China
| | - Chunxiao Wang
- Environmental Microbiome Engineering and Biotechnology Laboratory, Centre for Environmental Engineering Research, Department of Civil Engineering, The University of Hong Kong, Hong Kong, China
| | - Xiaole Yin
- Environmental Microbiome Engineering and Biotechnology Laboratory, Centre for Environmental Engineering Research, Department of Civil Engineering, The University of Hong Kong, Hong Kong, China
| | - Yu Deng
- Environmental Microbiome Engineering and Biotechnology Laboratory, Centre for Environmental Engineering Research, Department of Civil Engineering, The University of Hong Kong, Hong Kong, China
| | - Chao Yang
- Key Laboratory of Molecular Microbiology and Technology for Ministry of Education, College of Life Sciences, Nankai University, Tianjin 300071, China
| | - Tong Zhang
- Environmental Microbiome Engineering and Biotechnology Laboratory, Centre for Environmental Engineering Research, Department of Civil Engineering, The University of Hong Kong, Hong Kong, China.
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44
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Whittle E, Yonkus JA, Jeraldo P, Alva-Ruiz R, Nelson H, Kendrick ML, Grys TE, Patel R, Truty MJ, Chia N. Optimizing Nanopore Sequencing for Rapid Detection of Microbial Species and Antimicrobial Resistance in Patients at Risk of Surgical Site Infections. mSphere 2022; 7:e0096421. [PMID: 35171692 PMCID: PMC8849348 DOI: 10.1128/msphere.00964-21] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
Surgical site infections (SSI) are a significant burden to patients and health care systems. We evaluated the use of Nanopore sequencing (NS) to rapidly detect microbial species and antimicrobial resistance (AMR) genes present in intraoperative bile aspirates. Bile aspirates from 42 patients undergoing pancreatic head resection were included. Three methods of DNA extraction using mechanical cell lysis or protease cell lysis were compared to determine the optimum method of DNA extraction. The impact of host DNA depletion, sequence run duration, and use of different AMR gene databases was also assessed. To determine clinical value, NS results were compared to standard culture (SC) results. NS identified microbial species in all culture positive samples. Mechanical lysis improved NS detection of cultured species from 60% to 76%, enabled detection of fungal species, and increased AMR predictions. Host DNA depletion improved detection of streptococcal species and AMR correlation with SC. Selection of AMR database influenced the number of AMR hits and resistance profile of 13 antibiotics. AMR prediction using CARD and ResFinder 4.1 correctly predicted 79% and 81% of the bile antibiogram, respectively. Sequence run duration positively correlated with detection of AMR genes. A minimum of 6 h was required to characterize the biliary microbes, resulting in a turnaround time of 14 h. Rapid identification of microbial species and AMR genes can be achieved by NS. NS results correlated with SC, suggesting that NS may be useful in guiding early antimicrobial therapy postsurgery. IMPORTANCE Surgical site infections (SSI) are a significant burden to patients and health care systems. They increase mortality rates, length of hospital stays, and associated health care costs. To reduce the risk of SSI, surgical patients are administered broad-spectrum antibiotics that are later adapted to target microbial species detected at the site of surgical incision. Use of broad-spectrum antibiotics can be harmful to the patient. We wanted to develop a rapid method of detecting microbial species and their antimicrobial resistance phenotypes. We developed a method of detecting microbial species and predicting resistance phenotypes using Nanopore sequencing. Results generated using Nanopore sequencing were similar to current methods of detection but were obtained in a significantly shorter amount of time. This suggests that Nanopore sequencing could be used to tailor antibiotics in surgical patients and reduce use of broad-spectrum antibiotics.
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Affiliation(s)
- Emma Whittle
- Division of Surgical Research, Department of Surgery, Mayo Clinicgrid.66875.3a, Rochester, Minnesota, USA
| | - Jennifer A. Yonkus
- Division of Hepatobiliary & Pancreatic Surgery, Department of Surgery, Mayo Clinicgrid.66875.3a, Rochester, Minnesota, USA
| | - Patricio Jeraldo
- Division of Surgical Research, Department of Surgery, Mayo Clinicgrid.66875.3a, Rochester, Minnesota, USA
| | - Roberto Alva-Ruiz
- Division of Hepatobiliary & Pancreatic Surgery, Department of Surgery, Mayo Clinicgrid.66875.3a, Rochester, Minnesota, USA
| | - Heidi Nelson
- Division of Research and Optimal Patient Care, Cancer Programs, American College of Surgeonsgrid.417954.a, Chicago, Illinois, USA
| | - Michael L. Kendrick
- Division of Hepatobiliary & Pancreatic Surgery, Department of Surgery, Mayo Clinicgrid.66875.3a, Rochester, Minnesota, USA
| | - Thomas E. Grys
- Department of Laboratory Medicine and Pathology, Mayo Clinicgrid.66875.3a, Phoenix, Arizona, USA
| | - Robin Patel
- Division of Clinical Microbiology, Department of Laboratory Medicine and Pathology, Mayo Clinicgrid.66875.3a, Rochester, Minnesota, USA
| | - Mark J. Truty
- Division of Hepatobiliary & Pancreatic Surgery, Department of Surgery, Mayo Clinicgrid.66875.3a, Rochester, Minnesota, USA
| | - Nicholas Chia
- Division of Surgical Research, Department of Surgery, Mayo Clinicgrid.66875.3a, Rochester, Minnesota, USA
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45
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Kuehnast T, Abbott C, Pausan MR, Pearce DA, Moissl-Eichinger C, Mahnert A. The crewed journey to Mars and its implications for the human microbiome. MICROBIOME 2022; 10:26. [PMID: 35125119 PMCID: PMC8818331 DOI: 10.1186/s40168-021-01222-7] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/22/2021] [Accepted: 12/16/2021] [Indexed: 05/04/2023]
Abstract
A human spaceflight to Mars is scheduled for the next decade. In preparation for this unmatched endeavor, a plethora of challenges must be faced prior to the actual journey to Mars. Mission success will depend on the health of its crew and its working capacity. Hence, the journey to Mars will also depend on the microbiome and its far-reaching effects on individual crew health, the spaceship's integrity, and food supply. As human beings rely on their microbiome, these microbes are essential and should be managed to ensure their beneficial effects outweigh potential risks. In this commentary, we focus on the current state of knowledge regarding a healthy (gut) microbiome of space travelers based on research from the International Space Station and simulation experiments on Earth. We further indicate essential knowledge gaps of microbial conditions during long-term space missions in isolated confined space habitats or outposts and give detailed recommendations for microbial monitoring during pre-flight, in-flight, and post-flight. Finally, the conclusion outlines open questions and aspects of space traveler's health beyond the scope of this commentary. Video Abstract.
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Affiliation(s)
- Torben Kuehnast
- Institute of Hygiene, Microbiology and Environmental Medicine, Medical University of Graz, Neue Stiftingtalstraße 6, 8010, Graz, Austria
| | - Carmel Abbott
- Department of Applied Sciences, Faculty of Health and Life Sciences, Northumbria University at Newcastle, Northumberland Road, Newcastle-upon-Tyne, NE1 8ST, UK
| | - Manuela R Pausan
- Institute of Hygiene, Microbiology and Environmental Medicine, Medical University of Graz, Neue Stiftingtalstraße 6, 8010, Graz, Austria
| | - David A Pearce
- Department of Applied Sciences, Faculty of Health and Life Sciences, Northumbria University at Newcastle, Northumberland Road, Newcastle-upon-Tyne, NE1 8ST, UK
| | - Christine Moissl-Eichinger
- Institute of Hygiene, Microbiology and Environmental Medicine, Medical University of Graz, Neue Stiftingtalstraße 6, 8010, Graz, Austria
- BioTechMed, Graz, Austria
| | - Alexander Mahnert
- Institute of Hygiene, Microbiology and Environmental Medicine, Medical University of Graz, Neue Stiftingtalstraße 6, 8010, Graz, Austria.
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46
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Martin S, Heavens D, Lan Y, Horsfield S, Clark MD, Leggett RM. Nanopore adaptive sampling: a tool for enrichment of low abundance species in metagenomic samples. Genome Biol 2022; 23:11. [PMID: 35067223 PMCID: PMC8785595 DOI: 10.1186/s13059-021-02582-x] [Citation(s) in RCA: 57] [Impact Index Per Article: 28.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2021] [Accepted: 12/20/2021] [Indexed: 12/13/2022] Open
Abstract
Adaptive sampling is a method of software-controlled enrichment unique to nanopore sequencing platforms. To test its potential for enrichment of rarer species within metagenomic samples, we create a synthetic mock community and construct sequencing libraries with a range of mean read lengths. Enrichment is up to 13.87-fold for the least abundant species in the longest read length library; factoring in reduced yields from rejecting molecules the calculated efficiency raises this to 4.93-fold. Finally, we introduce a mathematical model of enrichment based on molecule length and relative abundance, whose predictions correlate strongly with mock and complex real-world microbial communities.
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Affiliation(s)
- Samuel Martin
- Earlham Institute, Norwich Research Park, Norwich, NR4 7UZ, UK
| | - Darren Heavens
- Earlham Institute, Norwich Research Park, Norwich, NR4 7UZ, UK
| | - Yuxuan Lan
- Earlham Institute, Norwich Research Park, Norwich, NR4 7UZ, UK
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47
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Lebeaux RM, Karalis DB, Lee J, Whitehouse HC, Madan JC, Karagas MR, Hoen AG. The association between early life antibiotic exposure and the gut resistome of young children: a systematic review. Gut Microbes 2022; 14:2120743. [PMID: 36289062 PMCID: PMC9621065 DOI: 10.1080/19490976.2022.2120743] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/18/2022] [Revised: 08/01/2022] [Accepted: 08/31/2022] [Indexed: 02/04/2023] Open
Abstract
Antimicrobial resistance is a growing public health burden, but little is known about the effects of antibiotic exposure on the gut resistome. As childhood (0-5 years) represents a sensitive window of microbiome development and a time of relatively high antibiotic use, the aims of this systematic review were to evaluate the effects of antibiotic exposure on the gut resistome of young children and identify knowledge gaps. We searched PubMed, Scopus, Web of Science, and the Cochrane Central Register of Controlled Trials. A PICO framework was developed to determine eligibility criteria. Our main outcomes were the mean or median difference in overall resistance gene load and resistome alpha diversity by antibiotic exposure groups. Bias assessment was completed using RoB 2 and ROBINS-I with quality of evidence assessed via the GRADE criteria. From 4885 records identified, 14 studies (3 randomized controlled trials and 11 observational studies) were included in the qualitative review. Eight studies that included information on antibiotic exposure and overall resistance gene load reported no or positive associations. Inconsistent associations were identified for the nine studies that assessed resistome alpha diversity. We identified three main groups of studies based on study design, location, participants, antibiotic exposures, and indication for antibiotics. Overall, the quality of evidence for our main outcomes was rated low or very low, mainly due to potential bias from the selective of reporting results and confounding. We found evidence that antibiotic exposure is associated with changes to the overall gut resistance gene load of children and may influence the diversity of antimicrobial resistance genes. Given the overall quality of the studies, more research is needed to assess how antibiotics impact the resistome of other populations. Nonetheless, this evidence indicates that the gut resistome is worthwhile to consider for antibiotic prescribing practices.
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Affiliation(s)
- Rebecca M. Lebeaux
- Department of Epidemiology, Geisel School of Medicine at Dartmouth, Hanover, NH, USA
- Department of Microbiology & Immunology, Geisel School of Medicine at Dartmouth, Hanover, NH, USA
- Program in Quantitative Biomedical Sciences, Geisel School of Medicine at Dartmouth, Hanover, NH, USA
| | - Despina B. Karalis
- Department of Epidemiology, Geisel School of Medicine at Dartmouth, Hanover, NH, USA
| | - Jihyun Lee
- Program in Quantitative Biomedical Sciences, Geisel School of Medicine at Dartmouth, Hanover, NH, USA
| | - Hanna C. Whitehouse
- Program in Quantitative Biomedical Sciences, Geisel School of Medicine at Dartmouth, Hanover, NH, USA
| | - Juliette C. Madan
- Department of Epidemiology, Geisel School of Medicine at Dartmouth, Hanover, NH, USA
- Department of Pediatrics, Children’s Hospital at Dartmouth, Lebanon, NH, USA
- Children’s Environmental Health & Disease Prevention Research Center at Dartmouth, Hanover, NH, USA
- Department of Biomedical Data Science, Geisel School of Medicine at Dartmouth, Hanover, NH, USA
| | - Margaret R. Karagas
- Department of Epidemiology, Geisel School of Medicine at Dartmouth, Hanover, NH, USA
- Children’s Environmental Health & Disease Prevention Research Center at Dartmouth, Hanover, NH, USA
| | - Anne G. Hoen
- Department of Epidemiology, Geisel School of Medicine at Dartmouth, Hanover, NH, USA
- Department of Microbiology & Immunology, Geisel School of Medicine at Dartmouth, Hanover, NH, USA
- Department of Biomedical Data Science, Geisel School of Medicine at Dartmouth, Hanover, NH, USA
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48
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Healy DB, Ryan CA, Ross RP, Stanton C, Dempsey EM. Clinical implications of preterm infant gut microbiome development. Nat Microbiol 2022; 7:22-33. [PMID: 34949830 DOI: 10.1038/s41564-021-01025-4] [Citation(s) in RCA: 38] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2021] [Accepted: 11/12/2021] [Indexed: 12/12/2022]
Abstract
Perturbations to the infant gut microbiome during the first weeks to months of life affect growth, development and health. In particular, assembly of an altered intestinal microbiota during infant development results in an increased risk of immune and metabolic diseases that can persist into childhood and potentially into adulthood. Most research into gut microbiome development has focused on full-term babies, but health-related outcomes are also important for preterm babies. The systemic physiological immaturity of very preterm gestation babies (born earlier than 32 weeks gestation) results in numerous other microbiome-organ interactions, the mechanisms of which have yet to be fully elucidated or in some cases even considered. In this Perspective, we compare assembly of the intestinal microbiome in preterm and term infants. We focus in particular on the clinical implications of preterm infant gut microbiome composition and discuss the prospects for microbiome diagnostics and interventions to improve the health of preterm babies.
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Affiliation(s)
- David B Healy
- APC Microbiome Ireland, University College Cork, Cork, Ireland. .,Department of Paediatrics and Child Health, University College Cork, Cork, Ireland.
| | - C Anthony Ryan
- APC Microbiome Ireland, University College Cork, Cork, Ireland.,Department of Paediatrics and Child Health, University College Cork, Cork, Ireland
| | - R Paul Ross
- APC Microbiome Ireland, University College Cork, Cork, Ireland
| | - Catherine Stanton
- APC Microbiome Ireland, University College Cork, Cork, Ireland.,Teagasc Food Research Centre, Moorepark, Fermoy, Ireland
| | - Eugene M Dempsey
- APC Microbiome Ireland, University College Cork, Cork, Ireland.,Department of Paediatrics and Child Health, University College Cork, Cork, Ireland.,INFANT Research Centre, Cork University Hospital, Cork, Ireland
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"Answers in hours": A prospective clinical study using nanopore sequencing for bile duct cultures. Surgery 2021; 171:693-702. [PMID: 34973809 DOI: 10.1016/j.surg.2021.09.037] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2021] [Revised: 08/17/2021] [Accepted: 09/07/2021] [Indexed: 12/12/2022]
Abstract
BACKGROUND Surgical site infection is a major source of morbidity in patients undergoing pancreatic head resection and is often from organisms in intraoperative bile duct cultures. As such, many institutions use prolonged prophylactic antibiotics and tailor based on bile duct cultures. However, standard cultures take days, leaving many patients unnecessarily on prolonged antibiotics. Nanopore sequencing can provide data in hours and, thus, has the potential to improve antibiotic stewardship. The present study investigates the feasibility of nanopore sequencing in intraoperative bile samples. METHODS Patients undergoing pancreatic head resection were included. Intra-operative bile microbial profiles were determined with standard cultures and nanopore sequencing. Antibiotic recommendations were generated, and time-to-results determined for both methods. Organism yields, resistance patterns, antibiotic recommendations, and costs were compared. RESULTS Out of 42 patients, 22 (52%) had samples resulting in positive standard cultures. All positive standard cultures had microbes detected using nanopore sequencing. All 20 patients with negative standard cultures had negative nanopore sequencing. Nanopore sequencing detected more bacterial species compared to standard cultures (10.5 vs 4.4, p < 0.05) and more resistance genotypes (10.3 vs 2.7, p < 0.05). Antimicrobial recommendations based on nanopore sequencing provided coverage for standard cultures in 27 out of 44 (61%) samples, with broader coverage recommended by nanopore sequencing in 13 out of 27 (48%) of these samples. Nanopore sequencing results were faster (8 vs 98 hours) than standard cultures but had higher associated costs ($165 vs $38.49). CONCLUSION Rapid microbial profiling with nanopore sequencing is feasible with broader organism and resistance profiling compared to standard cultures. Nanopore sequencing has perfect negative predictive value and can potentially improve antibiotic stewardship; thus, a randomized control trial is under development.
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Guo Y, Li L, Li Z, Sun L, Wang H. Tropheryma whipplei Detection by Nanopore Sequencing in Patients With Interstitial Lung Disease. Front Microbiol 2021; 12:760696. [PMID: 34912314 PMCID: PMC8667551 DOI: 10.3389/fmicb.2021.760696] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2021] [Accepted: 11/02/2021] [Indexed: 12/11/2022] Open
Abstract
Tropheryma whipplei is a bacterium associated with Whipple's disease, which commonly manifests as weight loss, arthralgia, and diarrhea. The most frequently involved organs comprise the heart and eyes, in addition to the central nervous system. Few studies have explored the relationship between T. whipplei and pneumonia. Herein, we report three patients with interstitial lung disease (ILD) of unknown cause, whose bronchoalveolar lavage fluid (BALF) were evaluated via Nanopore sequencing. In our in-house BALF Nanopore platform, human DNA was removed with saponin, to improve the reads ratio of microorganisms/host. T. whipplei was the sole or most abundant pathogen in all the patients, comprising 1,385, 826, and 285 reads. The positive result was confirmed via quantitative polymerase chain reaction (PCR) with two pairs of primers (cycle threshold value: 33.26/36.29; 31.68/32.01; 28.82/28.80) and Sanger sequencing. To our knowledge, this is the first report of T. whipplei detection using Nanopore-based sequencing. The turnaround time was approximately 6-8 h in clinical laboratories, including less than 1 h for analysis. In conclusion, the results of this study confirm that Nanopore sequencing can rapidly detect rare pathogens, to improve clinical diagnosis. In addition, diagnosis of Whipple's disease should be combined other laboratory findings, such as periodic acid-Schiff (PAS) staining, and considered a possibility in middle-aged men presenting with ILD and a clinical history of unexplained arthralgia and/or fever.
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Affiliation(s)
- Yifan Guo
- Department of Clinical Laboratory, Peking University People's Hospital, Beijing, China.,Institute of Medical Technology, Peking University Health Science Center, Beijing, China
| | - Lijuan Li
- Department of Pulmonary and Critical Care Medicine, National Center for Clinical Research on Respiratory Diseases, China-Japan Friendship Hospital, Beijing, China.,Department of Pulmonary and Critical Care Medicine, China-Japan Friendship Hospital, Beijing, China
| | - Zhenzhong Li
- State Key Laboratory of Translational Medicine and Innovative Drug Development, Jiangsu Simcere Diagnostics Co., Ltd., Nanjing, China.,Nanjing Simcere Medical Laboratory Science Co., Ltd., Nanjing, China
| | - Lingxiao Sun
- Department of Clinical Laboratory, Peking University People's Hospital, Beijing, China
| | - Hui Wang
- Department of Clinical Laboratory, Peking University People's Hospital, Beijing, China.,Institute of Medical Technology, Peking University Health Science Center, Beijing, China
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