Evidence map›Paper›PMID 41327441›Full record

ArticleGenome medicine2025

Typhi Mykrobe: fast and accurate lineage identification and antimicrobial resistance genotyping directly from sequence reads for the typhoid fever agent Salmonella Typhi.

Danielle J Ingle, Jane Hawkey, Martin Hunt, Zamin Iqbal, Jacqueline A Keane, Ayorinde O Afolayan, Niyaz Ahmed, Saadia Andleeb, Philip M Ashton, Isaac I Bogoch and 29 more

Abstract read
In one paragraph

Article in Genome medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

39 authors.

Danielle J IngleThe Department of Microbiology and Immunology, The University of Melbourne at The Peter Doherty Institute for Infection and Immunity, Melbourne, Australia. danielle.ingle@unimelb.edu.au.
Jane HawkeyDepartment of Infectious Diseases, School of Translational Medicine, Monash University, Melbourne, VIC, 3004, Australia.
Martin HuntEuropean Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, Cambridge, UK.
Zamin IqbalEuropean Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, Cambridge, UK.
Jacqueline A KeaneDepartment of Medicine, Institute of Therapeutic Immunology and Infectious Disease, Jeffrey Cheah Biomedical Centre, University of Cambridge, Cambridge , Cambridge Biomedical Campus, Cambridge, UK.
Ayorinde O AfolayanFaculty of Pharmacy and College of Medicine, University of Ibadan, Ibadan, Nigeria.
Niyaz AhmedPathogen Biology Laboratory, Department of Biotechnology and Bioinformatics, University of Hyderabad, Hyderabad, India.
Saadia AndleebAtta-Ur-Rahman School of Applied Biosciences, National University of Sciences and Technology, Rawalpindi, Pakistan.
Philip M AshtonMalawi Liverpool Wellcome Programme, Blantyre, Malawi.
Isaac I BogochDepartment of Medicine, University of Toronto, London, Canada.
Megan E CareyDepartment Infection Biology, London School of Hygiene and Tropical Medicine, London, UK.
Marie Anne ChattawayGastrointestinal Bacteria Reference Unit, United Kingdom Health Security Agency, London, UK.
John A CrumpCentre for International Health, University of Otago, Dunedin, New Zealand.
Paula Diaz GuevaraGrupo de Microbiologia, Instituto Nacional de Salud, Bogota, Colombia.
Benjamin P HowdenThe Department of Microbiology and Immunology, The University of Melbourne at The Peter Doherty Institute for Infection and Immunity, Melbourne, Australia.
Hidemasa IzumiyaDepartment of Bacteriology I, National Institute of Infectious Diseases, Tokyo, Japan.
Jobin John JacobDepartment of Clinical Microbiology, Christian Medical College, Vellore, India.
Louise M JuddThe Department of Microbiology and Immunology, The University of Melbourne at The Peter Doherty Institute for Infection and Immunity, Melbourne, Australia.
Arti KapilInstitute of Medical Sciences, New Delhi, India.
Karen H KeddyDepartment of Veterinary Tropical Diseases, Faculty of Veterinary Science, University of Pretoria, Pretoria, South Africa.
Justin Y KimCenters for Disease Control and Prevention, Atlanta, USA.
Myron M LevineCenter for Vaccine Development and Global Health, University of Maryland School of Medicine, Baltimore, MD, USA.
Masatomo MoritaDepartment of Bacteriology I, National Institute of Infectious Diseases, Tokyo, Japan.
Satheesh NairGastrointestinal Bacteria Reference Unit, United Kingdom Health Security Agency, London, UK.
Sophie OctaviaSchool of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, Australia.
Iruka N OkekeFaculty of Pharmacy and College of Medicine, University of Ibadan, Ibadan, Nigeria.
Precious E OsadebamwenFaculty of Pharmacy and College of Medicine, University of Ibadan, Ibadan, Nigeria.
Sadia Isfat Ara RahmanInternational Centre for Diarrhoeal Disease Research Bangladesh (Icddr,B), Dhaka, Bangladesh.
Assaf RokneyMinistry of Health, Jerusalem, Israel.
David A RaskoCenter for Vaccine Development and Global Health, University of Maryland School of Medicine, Baltimore, MD, USA.
Varun ShamannaCentral Research Laboratory, KIMS, Bengaluru, India.
Michael J SikorskiCenter for Vaccine Development and Global Health, University of Maryland School of Medicine, Baltimore, MD, USA.
Anthony M SmithCentre for Enteric Diseases, National Institute for Communicable Diseases, Johannesburg, South Africa.
Gabriel T SunmonuFaculty of Pharmacy and College of Medicine, University of Ibadan, Ibadan, Nigeria.
Kaitlin A TaggCenters for Disease Control and Prevention, Atlanta, USA.
Ryan R WickThe Department of Microbiology and Immunology, The University of Melbourne at The Peter Doherty Institute for Infection and Immunity, Melbourne, Australia.
Zoe A Dyson *Department Infection Biology, London School of Hygiene and Tropical Medicine, London, UK. zoe.dyson@lshtm.ac.uk.
Kathryn E Holt *Department of Infectious Diseases, School of Translational Medicine, Monash University, Melbourne, VIC, 3004, Australia. kat.holt@lshtm.ac.uk.
Global Typhoid Genomics Consortium

Funding

Systems-Level Research in Microbial PathogenesisT32AI162579 · NIAID · UNIVERSITY OF MARYLAND BALTIMORE · PI NICHOLAS H CARBONETTI, Julie Dunning Hotopp · 2022 to 2026
$1.7M
Genomics of Salmonella Typhi in Samoa: Population structure and genomic epidemiologyF30AI156973 · NIAID · UNIVERSITY OF MARYLAND BALTIMORE · PI SIKORSKI, MICHAEL JOSEPH · 2021 to 2024
$158k
Australian Research Council DE250100677Bill and Melinda Gates Foundation INV-000049Bill and Melinda Gates Foundation TyVACDepartment of Health and Social Care's Fleming Fund SEQAFRICAGates Foundation INV-009497Gates Foundation INV-036234Marie Curie 845681National Health and Medical Research Council GNT1195210National Health and Medical Research Council GNT1196103National Health and Medical Research Council GNT2034741National Institute for Health and Care Research #16/136/111National Institute for Health and Care Research NIHR200915National Institute of Allergy and Infectious Diseases F30AI156973National Institutes of Health,United States NIH T32AI162579NIAID NIH HHS F30 AI156973NIAID NIH HHS T32 AI162579NIH HHS U19 AI110802-01Wellcome TrustWellcome Trust 226432/Z/22/Z
6 · The paper itself

Abstract

backgroundTyphoid fever results from systemic infection with Salmonella enterica serovar Typhi (Typhi) and causes 10 million illnesses annually. Disease control relies on prevention (water, sanitation, and hygiene interventions or vaccination) and effective antimicrobial treatment. Antimicrobial-resistant (AMR) Typhi lineages have emerged and become established in many parts of the world. Knowledge of local pathogen populations informed by genomic surveillance, including of lineages (defined by the GenoTyphi scheme) and AMR determinants, is increasingly used to inform local treatment guidelines and to inform vaccination strategy. Current tools for genotyping Typhi require multiple read alignment or assembly steps and have not been validated for analysis of data generated with Oxford Nanopore Technologies (ONT) long-read sequencing devices. Here, we introduce Typhi Mykrobe, a command line software tool for rapid genotyping of Typhi lineages, AMR determinants, and plasmid replicons direct from sequencing reads.

resultsWe validated Typhi Mykrobe lineage genotyping by comparison with the current standard read mapping-based approach and demonstrated 99.8% concordance across nearly 13,000 genomes sequenced with Illumina platforms. For the few isolates with discordant calls, we show that Typhi Mykrobe results are better supported by the evidence from raw sequence read data than the results generated using the mapping-based approach. We also demonstrate 99.9% concordance for detection of AMR determinants compared with the current standard assembly-based approach, with similar results for plasmid marker detection. Typhi Mykrobe predicts clinical resistance categorization (S/I/R) for eight drug classes, and we show strong agreement with phenotypic categorizations generated from reference laboratory minimum inhibitory concentration (MIC) data for n = 1572 Illumina-sequenced isolates (> 99% agreement within one doubling dilution). We show strong concordance (> 96% for genotype and > 98% for AMR and plasmid) between calls made from ONT reads and those made from Illumina reads for isolates sequenced on both platforms (n = 93 genomes). Typhi Mykrobe takes less than a minute per sample and is available at https://github.com/typhoidgenomics/genotyphi .

conclusionsTyphi Mykrobe provides rapid and sensitive genotyping of Typhi genomes direct from Illumina and ONT reads, although lower accuracy was observed for R9 ONT data. It demonstrated accurate assignment of GenoTyphi lineage, detection of AMR determinants and prediction of corresponding AMR phenotypes, and identification of plasmid replicons.

Indexed as

Drug Resistance, BacterialGenotyping TechniquesSalmonella typhiSoftwareTyphoid FeverAnti-Bacterial AgentsGenome, BacterialGenotypeHigh-Throughput Nucleotide SequencingHumansPlasmidsAnti-Bacterial AgentsAntimicrobial resistance (AMR)GenotypingLineagePathogen sequencingSalmonella TyphiTyphoid feverWhole genome sequencing (WGS)

Identifiers

PMID41327441
PMCPMC12667118

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.