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Saville L, Wu L, Habtewold J, Cheng Y, Gollen B, Mitchell L, Stuart-Edwards M, Haight T, Mohajerani M, Zovoilis A. NERD-seq: a novel approach of Nanopore direct RNA sequencing that expands representation of non-coding RNAs. Genome Biol 2024; 25:233. [PMID: 39198865 PMCID: PMC11351768 DOI: 10.1186/s13059-024-03375-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2024] [Accepted: 08/20/2024] [Indexed: 09/01/2024] Open
Abstract
Non-coding RNAs (ncRNAs) are frequently documented RNA modification substrates. Nanopore Technologies enables the direct sequencing of RNAs and the detection of modified nucleobases. Ordinarily, direct RNA sequencing uses polyadenylation selection, studying primarily mRNA gene expression. Here, we present NERD-seq, which enables detection of multiple non-coding RNAs, excluded by the standard approach, alongside natively polyadenylated transcripts. Using neural tissues as a proof of principle, we show that NERD-seq expands representation of frequently modified non-coding RNAs, such as snoRNAs, snRNAs, scRNAs, srpRNAs, tRNAs, and rRFs. NERD-seq represents an RNA-seq approach to simultaneously study mRNA and ncRNA epitranscriptomes in brain tissues and beyond.
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Affiliation(s)
- Luke Saville
- Department of Biochemistry and Medical Genetics, University of Manitoba, Winnipeg, MB, R3E3N4, Canada
- Paul Albrechtsen Research Institute, CCMB, Winnipeg, MB, R3E3N4, Canada
- Southern Alberta Genome Sciences Centre, Lethbridge, AB, T1K3M4, Canada
- Canadian Centre for Behavioral Neuroscience, Lethbridge, AB, T1K3M4, Canada
| | - Li Wu
- Department of Biochemistry and Medical Genetics, University of Manitoba, Winnipeg, MB, R3E3N4, Canada
- Paul Albrechtsen Research Institute, CCMB, Winnipeg, MB, R3E3N4, Canada
| | - Jemaneh Habtewold
- Department of Biochemistry and Medical Genetics, University of Manitoba, Winnipeg, MB, R3E3N4, Canada
- Paul Albrechtsen Research Institute, CCMB, Winnipeg, MB, R3E3N4, Canada
| | - Yubo Cheng
- Southern Alberta Genome Sciences Centre, Lethbridge, AB, T1K3M4, Canada
- Canadian Centre for Behavioral Neuroscience, Lethbridge, AB, T1K3M4, Canada
| | - Babita Gollen
- Southern Alberta Genome Sciences Centre, Lethbridge, AB, T1K3M4, Canada
- Canadian Centre for Behavioral Neuroscience, Lethbridge, AB, T1K3M4, Canada
| | - Liam Mitchell
- Department of Biochemistry and Medical Genetics, University of Manitoba, Winnipeg, MB, R3E3N4, Canada
- Paul Albrechtsen Research Institute, CCMB, Winnipeg, MB, R3E3N4, Canada
- Southern Alberta Genome Sciences Centre, Lethbridge, AB, T1K3M4, Canada
- Canadian Centre for Behavioral Neuroscience, Lethbridge, AB, T1K3M4, Canada
| | - Matthew Stuart-Edwards
- Department of Biochemistry and Medical Genetics, University of Manitoba, Winnipeg, MB, R3E3N4, Canada
- Paul Albrechtsen Research Institute, CCMB, Winnipeg, MB, R3E3N4, Canada
- Southern Alberta Genome Sciences Centre, Lethbridge, AB, T1K3M4, Canada
- Canadian Centre for Behavioral Neuroscience, Lethbridge, AB, T1K3M4, Canada
| | - Travis Haight
- Department of Biochemistry and Medical Genetics, University of Manitoba, Winnipeg, MB, R3E3N4, Canada
- Paul Albrechtsen Research Institute, CCMB, Winnipeg, MB, R3E3N4, Canada
- Southern Alberta Genome Sciences Centre, Lethbridge, AB, T1K3M4, Canada
- Canadian Centre for Behavioral Neuroscience, Lethbridge, AB, T1K3M4, Canada
| | - Majid Mohajerani
- Canadian Centre for Behavioral Neuroscience, Lethbridge, AB, T1K3M4, Canada
| | - Athanasios Zovoilis
- Department of Biochemistry and Medical Genetics, University of Manitoba, Winnipeg, MB, R3E3N4, Canada.
- Paul Albrechtsen Research Institute, CCMB, Winnipeg, MB, R3E3N4, Canada.
- Southern Alberta Genome Sciences Centre, Lethbridge, AB, T1K3M4, Canada.
- Canadian Centre for Behavioral Neuroscience, Lethbridge, AB, T1K3M4, Canada.
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Lopez-Labrador FX, Huber M, Sidorov IA, Brown JR, Cuypers L, Laenen L, Vanmechelen B, Maes P, Fischer N, Pichler I, Storey N, Atkinson L, Schmutz S, Kufner V, van Boheemen S, Mulders CE, Grundhoff A, Blümke P, Robitaille A, Cinek O, Hubáčková K, Mourik K, Boers SA, Stauber L, Salmona M, Cappy P, Ramette A, Franze' A, LeGoff J, Claas ECJ, Rodriguez C, de Vries JJC. Multicenter benchmarking of short and long read wet lab protocols for clinical viral metagenomics. J Clin Virol 2024; 173:105695. [PMID: 38823290 DOI: 10.1016/j.jcv.2024.105695] [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: 01/13/2024] [Revised: 04/10/2024] [Accepted: 05/18/2024] [Indexed: 06/03/2024]
Abstract
Metagenomics is gradually being implemented for diagnosing infectious diseases. However, in-depth protocol comparisons for viral detection have been limited to individual sets of experimental workflows and laboratories. In this study, we present a benchmark of metagenomics protocols used in clinical diagnostic laboratories initiated by the European Society for Clinical Virology (ESCV) Network on NGS (ENNGS). A mock viral reference panel was designed to mimic low biomass clinical specimens. The panel was used to assess the performance of twelve metagenomic wet lab protocols currently in use in the diagnostic laboratories of participating ENNGS member institutions. Both Illumina and Nanopore, shotgun and targeted capture probe protocols were included. Performance metrics sensitivity, specificity, and quantitative potential were assessed using a central bioinformatics pipeline. Overall, viral pathogens with loads down to 104 copies/ml (corresponding to CT values of 31 in our PCR assays) were detected by all the evaluated metagenomic wet lab protocols. In contrast, lower abundant mixed viruses of CT values of 35 and higher were detected only by a minority of the protocols. Considering the reference panel as the gold standard, optimal thresholds to define a positive result were determined per protocol, based on the horizontal genome coverage. Implementing these thresholds, sensitivity and specificity of the protocols ranged from 67 to 100 % and 87 to 100 %, respectively. A variety of metagenomic protocols are currently in use in clinical diagnostic laboratories. Detection of low abundant viral pathogens and mixed infections remains a challenge, implying the need for standardization of metagenomic analysis for use in clinical settings.
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Affiliation(s)
- F Xavier Lopez-Labrador
- Virology Laboratory, Genomics and Health Area, Center for Public Health Research (FISABIO-Public Health), Generalitat Valenciana, Valencia, Spain; Microbiology & Ecology Department, Medical School, University of Valencia, Spain; and CIBERESP, Instituto de Salud Carlos III, Spain
| | - Michael Huber
- Institute of Medical Virology, University of Zurich, Switzerland
| | - Igor A Sidorov
- Clinical Microbiological Laboratory, Department of Medical Microbiology, Leiden University Medical Center, Leiden, the Netherlands
| | - Julianne R Brown
- Microbiology, Virology and Infection Prevention & Control, Great Ormond Street Hospital for Children NHS Foundation Trust, London, United Kingdom
| | - Lize Cuypers
- Department of Laboratory Medicine, University Hospitals Leuven, and Laboratory of Clinical Microbiology, KU, Leuven, Belgium
| | - Lies Laenen
- Department of Laboratory Medicine, University Hospitals Leuven, and Laboratory of Clinical Microbiology, KU, Leuven, Belgium
| | - Bert Vanmechelen
- Laboratory of Clinical and Epidemiological Virology, Department of Microbiology, Immunology and Transplantation, Rega Institute for Medical Research, KU Leuven, Belgium
| | - Piet Maes
- Laboratory of Clinical and Epidemiological Virology, Department of Microbiology, Immunology and Transplantation, Rega Institute for Medical Research, KU Leuven, Belgium
| | - Nicole Fischer
- University Medical Center Hamburg-Eppendorf, UKE Institute for Medical Microbiology, Virology and Hygiene, Germany
| | - Ian Pichler
- Institute of Medical Virology, University of Zurich, Switzerland
| | - Nathaniel Storey
- Microbiology, Virology and Infection Prevention & Control, Great Ormond Street Hospital for Children NHS Foundation Trust, London, United Kingdom
| | - Laura Atkinson
- Microbiology, Virology and Infection Prevention & Control, Great Ormond Street Hospital for Children NHS Foundation Trust, London, United Kingdom
| | - Stefan Schmutz
- Institute of Medical Virology, University of Zurich, Switzerland
| | - Verena Kufner
- Institute of Medical Virology, University of Zurich, Switzerland
| | | | | | | | | | | | - Ondrej Cinek
- Department of Medical Microbiology, 2nd Faculty of Medicine, Charles University, and University Hospital Motol, Prague, Czech Republic
| | - Klára Hubáčková
- Department of Medical Microbiology, 2nd Faculty of Medicine, Charles University, and University Hospital Motol, Prague, Czech Republic
| | - Kees Mourik
- Clinical Microbiological Laboratory, Department of Medical Microbiology, Leiden University Medical Center, Leiden, the Netherlands
| | - Stefan A Boers
- Clinical Microbiological Laboratory, Department of Medical Microbiology, Leiden University Medical Center, Leiden, the Netherlands
| | - Lea Stauber
- Institute for Infectious Diseases, University of Bern, Switzerland
| | - Maud Salmona
- Virology Department, AP-HP, Hôpital Saint Louis, F-75010 Paris, France
| | | | - Alban Ramette
- Institute for Infectious Diseases, University of Bern, Switzerland
| | - Alessandra Franze'
- Virology Laboratory, Genomics and Health Area, Center for Public Health Research (FISABIO-Public Health), Generalitat Valenciana, Valencia, Spain
| | - Jerome LeGoff
- Virology Department, AP-HP, Hôpital Saint Louis, F-75010 Paris, France
| | - Eric C J Claas
- Clinical Microbiological Laboratory, Department of Medical Microbiology, Leiden University Medical Center, Leiden, the Netherlands
| | | | - Jutte J C de Vries
- Clinical Microbiological Laboratory, Department of Medical Microbiology, Leiden University Medical Center, Leiden, the Netherlands.
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Chien YS, Chen FJ, Wu HC, Lin CH, Chang WC, Perera D, Yang JY, Lee MS, Liao YC. Cost-effective complete genome sequencing using the MinION platform for identification of recombinant enteroviruses. Microbiol Spectr 2023; 11:e0250723. [PMID: 37831475 PMCID: PMC10715163 DOI: 10.1128/spectrum.02507-23] [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: 06/14/2023] [Accepted: 08/30/2023] [Indexed: 10/14/2023] Open
Abstract
IMPORTANCE By employing a cost-effective approach for complete genome sequencing, the study has enabled the identification of novel enterovirus strains and shed light on the genetic exchange events during outbreaks. The success rate of genome sequencing and the scalability of the protocol demonstrate its practical utility for routine enterovirus surveillance. Moreover, the study's findings of recombinant strains of EVA71 and CVA2 contributing to epidemics in Malaysia and Taiwan emphasize the need for accurate detection and characterization of enteroviruses. The investigation of the whole genome and upstream ORF sequences has provided insights into the evolution and spread of enterovirus subgenogroups. These findings have important implications for the prevention, control, and surveillance of enteroviruses, ultimately contributing to the understanding and management of enterovirus-related illnesses.
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Affiliation(s)
- Yeh-Sheng Chien
- National Institute of Infectious Diseases and Vaccinology, National Health Research Institutes, Zhunan, Taiwan
| | - Feng-Jui Chen
- National Institute of Infectious Diseases and Vaccinology, National Health Research Institutes, Zhunan, Taiwan
- Department of Biological Science and Technology, National Yang Ming Chiao Tung University, Hsinchu, Taiwan
| | - Han-Chieh Wu
- National Institute of Infectious Diseases and Vaccinology, National Health Research Institutes, Zhunan, Taiwan
| | - Chieh-Hua Lin
- Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Taiwan
| | - Wen-Chiung Chang
- National Institute of Infectious Diseases and Vaccinology, National Health Research Institutes, Zhunan, Taiwan
| | - David Perera
- Institute of Health and Community Medicine, Universiti Malaysia Sarawak, Sarawak, Malaysia
| | - Jyh-Yuan Yang
- Research and Diagnosis Center, Centers for Disease Control, Taipei, Taiwan
| | - Min-Shi Lee
- National Institute of Infectious Diseases and Vaccinology, National Health Research Institutes, Zhunan, Taiwan
| | - Yu-Chieh Liao
- Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Taiwan
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Abou Kubaa R, Amoia SS, Altamura G, Minafra A, Chiumenti M, Cillo F. Nanopore Technology Applied to Targeted Detection of Tomato Brown Rugose Fruit Virus Allows Sequencing of Related Viruses and the Diagnosis of Mixed Infections. PLANTS (BASEL, SWITZERLAND) 2023; 12:999. [PMID: 36903859 PMCID: PMC10005216 DOI: 10.3390/plants12050999] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/20/2023] [Revised: 02/10/2023] [Accepted: 02/17/2023] [Indexed: 06/18/2023]
Abstract
Tomato (Solanum lycopersicum) plants from a commercial glasshouse were identified with symptoms compatible with a tomato brown rugose fruit virus (ToBRFV) infection. Reverse transcription-PCR and quantitative PCR confirmed the presence of ToBRFV. Subsequently, the same RNA sample and a second from tomato plants infected with a similar tobamovirus, tomato mottle mosaic virus (ToMMV), were extracted and processed for high-throughput sequencing with the Oxford Nanopore Technology (ONT). For the targeted detection of ToBRFV, the two libraries were synthesized by using six ToBRFV sequence-specific primers in the reverse transcription step. This innovative target enrichment technology enabled deep coverage sequencing of ToBRFV, with 30% of the total reads mapping to the target virus genome and 57% mapping to the host genome. The same set of primers applied to the ToMMV library generated 5% of the total reads mapping to the latter virus, indicating that sequencing of similar, non-target viral sequences was also allowed. Further, the complete genome of pepino mosaic virus (PepMV) was also sequenced from the ToBRFV library, thus suggesting that, even using multiple sequence-specific primers, a low rate of off-target sequencing can usefully provide additional information on unexpected viral species coinfecting the same samples in an individual assay. These results demonstrate that targeted nanopore sequencing can specifically identify viral agents and has sufficient sensitivity towards non-target organisms to provide evidence of mixed virus infections.
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Affiliation(s)
- Raied Abou Kubaa
- Institute for Sustainable Plant Protection—National Research Council, 70126 Bari, Italy
| | - Serafina Serena Amoia
- Institute for Sustainable Plant Protection—National Research Council, 70126 Bari, Italy
- Department of Soil, Plant and Food Sciences, University of Bari Aldo Moro, 70126 Bari, Italy
| | - Giuseppe Altamura
- Institute for Sustainable Plant Protection—National Research Council, 70126 Bari, Italy
- Research, Experimentation and Education Centre in Agriculture (CRSFA) “Basile Caramia”, Via Cisternino 281, 70010 Locorotondo, Italy
| | - Angelantonio Minafra
- Institute for Sustainable Plant Protection—National Research Council, 70126 Bari, Italy
| | - Michela Chiumenti
- Institute for Sustainable Plant Protection—National Research Council, 70126 Bari, Italy
| | - Fabrizio Cillo
- Institute for Sustainable Plant Protection—National Research Council, 70126 Bari, Italy
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Bigi S, Ramette A, Barbani MT, Bieri A, Hoffmann A, Aebi C. Acute flaccid myelitis in Switzerland - association with enterovirus D68. Swiss Med Wkly 2023; 153:40045. [PMID: 36787499 DOI: 10.57187/smw.2023.40045] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/10/2023] Open
Abstract
Poliomyelitis-like acute flaccid myelitis associated with enterovirus D68 (EV-D68) has emerged globally during the past decade. Here we describe the first documented case reported from Switzerland, and a second, suspected case occurring in temporal association. AFM occurs primarily in children, is usually heralded by a febrile, respiratory prodrome followed by acute-onset, usually asymmetrical, limb weakness with some predilection for the upper extremities, and respiratory muscle compromise in one third of reported cases. There is no specific therapy and the majority of cases result in permanent neurological sequelae. A comprehensive diagnostic workup and timely reporting to the health authorities are essential. Surveillance of respiratory and stool samples for EV-D68 and other neurotropic enteroviruses is in place in several European countries and warrants consideration in Switzerland. This could entail the extension of the poliomyelitis surveillance program of the Federal Office of Public Health by monitoring and enteroviral typing of respiratory samples from patients with acute flaccid paralysis.
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Affiliation(s)
- Sandra Bigi
- Institute of Social and Preventive Medicine, University of Bern, Switzerland.,Department of Neurology, Bern University Hospital, Inselspital, University of Bern, Switzerland
| | - Alban Ramette
- Institute for Infectious Diseases, University of Bern, Switzerland
| | | | - Andreas Bieri
- Department of Paediatrics, Cantonal Hospital Aarau, Switzerland
| | - Angelika Hoffmann
- University Institute of Diagnostic and Interventional Neuroradiology, University Hospital Bern, Inselspital, University of Bern, Switzerland
| | - Christoph Aebi
- Division of Paediatric Infectious Diseases, Department of Paediatrics, Bern University Hospital, Inselspital, University of Bern, Switzerland
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Itani T, Chalapa V, Semenov A, Sergeev A. Laboratory diagnosis of nonpolio enteroviruses: A review of the current literature. BIOSAFETY AND HEALTH 2022. [DOI: 10.1016/j.bsheal.2022.12.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022] Open
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7
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Genome Sequences of Rare Human Enterovirus Genotypes Recovered from Clinical Respiratory Samples in Bern, Switzerland. Microbiol Resour Announc 2022; 11:e0027622. [PMID: 35993703 PMCID: PMC9476959 DOI: 10.1128/mra.00276-22] [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] [Indexed: 11/20/2022] Open
Abstract
We report on genomic sequences of human enteroviruses (EVs) that were identified in respiratory samples in Bern, Switzerland, in 2018 and 2019. Besides providing sequences for coxsackievirus A2, echovirus 11, and echovirus 30, we determined the sequences of rare EV-D68 and EV-C105 genotypes circulating in Switzerland.
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Rapid Identification of Drug-Resistant Tuberculosis Genes Using Direct PCR Amplification and Oxford Nanopore Technology Sequencing. THE CANADIAN JOURNAL OF INFECTIOUS DISEASES & MEDICAL MICROBIOLOGY = JOURNAL CANADIEN DES MALADIES INFECTIEUSES ET DE LA MICROBIOLOGIE MEDICALE 2022; 2022:7588033. [PMID: 35386470 PMCID: PMC8979720 DOI: 10.1155/2022/7588033] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/29/2021] [Revised: 01/27/2022] [Accepted: 03/14/2022] [Indexed: 12/31/2022]
Abstract
Mycobacterium tuberculosis antimicrobial resistance has been continually reported and is a major public health issue worldwide. Rapid prediction of drug resistance is important for selecting appropriate antibiotic treatments, which significantly increases cure rates. Gene sequencing technology has proven to be a powerful strategy for identifying relevant drug resistance information. This study established a sequencing method and bioinformatics pipeline for resistance gene analysis using an Oxford Nanopore Technologies sequencer. The pipeline was validated by Sanger sequencing and exhibited 100% concordance with the identified variants. Turnaround time for the nanopore sequencing workflow was approximately 12 h, facilitating drug resistance prediction several weeks earlier than that of traditional phenotype drug susceptibility testing. This study produced a customized gene panel assay for rapid bacterial identification via nanopore sequencing, which improves the timeliness of tuberculosis diagnoses and provides a reliable method that may have clinical application.
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Special Issue “Enteroviruses 2021”. Viruses 2022; 14:v14020306. [PMID: 35215899 PMCID: PMC8877513 DOI: 10.3390/v14020306] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2022] [Accepted: 01/28/2022] [Indexed: 01/27/2023] Open
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Waweru JW, de Laurent Z, Kamau E, Mohammed KS, Gicheru E, Mutunga M, Kibet C, Kinyua J, Nokes DJ, Sande C, Githinji G. Enrichment approach for unbiased sequencing of respiratory syncytial virus directly from clinical samples. Wellcome Open Res 2021; 6:99. [PMID: 38779569 PMCID: PMC11109592 DOI: 10.12688/wellcomeopenres.16756.1] [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] [Accepted: 04/22/2021] [Indexed: 05/25/2024] Open
Abstract
Background: Nasopharyngeal samples contain higher quantities of bacterial and host nucleic acids relative to viruses; presenting challenges during virus metagenomics sequencing, which underpins agnostic sequencing protocols. We aimed to develop a viral enrichment protocol for unbiased whole-genome sequencing of respiratory syncytial virus (RSV) from nasopharyngeal samples using the Oxford Nanopore Technology (ONT) MinION platform. Methods: We assessed two protocols using RSV positive samples. Protocol 1 involved physical pre-treatment of samples by centrifugal processing before RNA extraction, while Protocol 2 entailed direct RNA extraction without prior enrichment. Concentrates from Protocol 1 and RNA extracts from Protocol 2 were each divided into two fractions; one was DNase treated while the other was not. RNA was then extracted from both concentrate fractions per sample and RNA from both protocols converted to cDNA, which was then amplified using the tagged Endoh primers through Sequence-Independent Single-Primer Amplification (SISPA) approach, a library prepared, and sequencing done. Statistical significance during analysis was tested using the Wilcoxon signed-rank test. Results: DNase-treated fractions from both protocols recorded significantly reduced host and bacterial contamination unlike the untreated fractions (in each protocol p<0.01). Additionally, DNase treatment after RNA extraction (Protocol 2) enhanced host and bacterial read reduction compared to when done before (Protocol 1). However, neither protocol yielded whole RSV genomes. Sequenced reads mapped to parts of the nucleoprotein (N gene) and polymerase complex (L gene) from Protocol 1 and 2, respectively. Conclusions: DNase treatment was most effective in reducing host and bacterial contamination, but its effectiveness improved if done after RNA extraction than before. We attribute the incomplete genome segments to amplification biases resulting from the use of short length random sequence (6 bases) in tagged Endoh primers. Increasing the length of the random nucleotides from six hexamers to nine or 12 in future studies may reduce the coverage biases.
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Affiliation(s)
- Jacqueline Wahura Waweru
- Epidemiology and Demographics, KEMRI Wellcome Trust Research Programme, Kilifi, KENYA, 237-80108, Kenya
- Biochemistry, Jomo Kenyatta University of Agriculture and Technology, Nairobi, Kenya, 62000-00200, Kenya
| | - Zaydah de Laurent
- Epidemiology and Demographics, KEMRI Wellcome Trust Research Programme, Kilifi, KENYA, 237-80108, Kenya
| | - Everlyn Kamau
- Epidemiology and Demographics, KEMRI Wellcome Trust Research Programme, Kilifi, KENYA, 237-80108, Kenya
| | - Khadija Said Mohammed
- Epidemiology and Demographics, KEMRI Wellcome Trust Research Programme, Kilifi, KENYA, 237-80108, Kenya
| | - Elijah Gicheru
- Epidemiology and Demographics, KEMRI Wellcome Trust Research Programme, Kilifi, KENYA, 237-80108, Kenya
| | - Martin Mutunga
- Epidemiology and Demographics, KEMRI Wellcome Trust Research Programme, Kilifi, KENYA, 237-80108, Kenya
| | - Caleb Kibet
- Biochemistry, Jomo Kenyatta University of Agriculture and Technology, Nairobi, Kenya, 62000-00200, Kenya
| | - Johnson Kinyua
- Biochemistry, Jomo Kenyatta University of Agriculture and Technology, Nairobi, Kenya, 62000-00200, Kenya
| | - D. James Nokes
- Epidemiology and Demographics, KEMRI Wellcome Trust Research Programme, Kilifi, KENYA, 237-80108, Kenya
| | - Charles Sande
- Epidemiology and Demographics, KEMRI Wellcome Trust Research Programme, Kilifi, KENYA, 237-80108, Kenya
| | - George Githinji
- Epidemiology and Demographics, KEMRI Wellcome Trust Research Programme, Kilifi, KENYA, 237-80108, Kenya
- Biochemistry and Biotechnology, Pwani University, Kilifi, Kenya, 195-80108, Kenya
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Leo S, Cherkaoui A, Renzi G, Schrenzel J. Mini Review: Clinical Routine Microbiology in the Era of Automation and Digital Health. Front Cell Infect Microbiol 2020; 10:582028. [PMID: 33330127 PMCID: PMC7734209 DOI: 10.3389/fcimb.2020.582028] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2020] [Accepted: 10/20/2020] [Indexed: 12/13/2022] Open
Abstract
Clinical microbiology laboratories are the first line to combat and handle infectious diseases and antibiotic resistance, including newly emerging ones. Although most clinical laboratories still rely on conventional methods, a cascade of technological changes, driven by digital imaging and high-throughput sequencing, will revolutionize the management of clinical diagnostics for direct detection of bacteria and swift antimicrobial susceptibility testing. Importantly, such technological advancements occur in the golden age of machine learning where computers are no longer acting passively in data mining, but once trained, can also help physicians in making decisions for diagnostics and optimal treatment administration. The further potential of physically integrating new technologies in an automation chain, combined to machine-learning-based software for data analyses, is seducing and would indeed lead to a faster management in infectious diseases. However, if, from one side, technological advancement would achieve a better performance than conventional methods, on the other side, this evolution challenges clinicians in terms of data interpretation and impacts the entire hospital personnel organization and management. In this mini review, we discuss such technological achievements offering practical examples of their operability but also their limitations and potential issues that their implementation could rise in clinical microbiology laboratories.
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Affiliation(s)
- Stefano Leo
- Genomic Research Laboratory, Division of Infectious Diseases, Department of Medicine, Geneva University Hospitals and University of Geneva, Geneva, Switzerland
| | - Abdessalam Cherkaoui
- Bacteriology Laboratory, Division of Laboratory Medicine, Department of Diagnostics, Geneva University Hospitals, Geneva, Switzerland
| | - Gesuele Renzi
- Bacteriology Laboratory, Division of Laboratory Medicine, Department of Diagnostics, Geneva University Hospitals, Geneva, Switzerland
| | - Jacques Schrenzel
- Genomic Research Laboratory, Division of Infectious Diseases, Department of Medicine, Geneva University Hospitals and University of Geneva, Geneva, Switzerland
- Bacteriology Laboratory, Division of Laboratory Medicine, Department of Diagnostics, Geneva University Hospitals, Geneva, Switzerland
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