Evidence map›Paper›PMID 42455858›Full record

ArticlePLoS neglected tropical diseases2026

High resolution multi-locus sequence typing scheme for Giardia duodenalis assemblage B outbreak and population analysis.

Christian Klotz, Katja Winter, Marc W Schmid, Stephan Fuchs, Anna Rosa Sannella, Umer Chaudhry, Jacinto Gomes, Ralf Ignatius, Toni Aebischer, Martha Betson and 2 more

Abstract read
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Article in PLoS neglected tropical diseases, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

12 authors.

Christian KlotzDepartment of Infectious Diseases, Unit for Mycotic and Parasitic Agents and Mycobacteria, Robert Koch-Institute, Berlin, Germany.ORCID https://orcid.org/0000-0003-2609-9654
Katja WinterBioinformatics Core Facility (MF1), Robert Koch-Institute, Berlin, Germany.
Marc W SchmidMWSchmid GmbH, Glarus, Switzerland.
Stephan FuchsBioinformatics Core Facility (MF1), Robert Koch-Institute, Berlin, Germany.
Anna Rosa SannellaDepartment of Infectious Diseases, Istituto Superiore di Sanità, Rome, Italy.
Umer ChaudhryDiscipline of Comparative Biomedical Sciences, School of Veterinary Medicine, University of Surrey, Surrey, United Kingdom.
Jacinto GomesElvas School of Biosciences, Polytechnic Institute of Portalegre, Portalegre, Portugal.
Ralf IgnatiusMVZ Labor 28, Berlin, Germany.
Toni AebischerDepartment of Infectious Diseases, Unit for Mycotic and Parasitic Agents and Mycobacteria, Robert Koch-Institute, Berlin, Germany.
Martha BetsonDiscipline of Comparative Biomedical Sciences, School of Veterinary Medicine, University of Surrey, Surrey, United Kingdom.
Karin TroellSwedish Veterinary Agency, Uppsala, Sweden.
Simone M CacciòDepartment of Infectious Diseases, Istituto Superiore di Sanità, Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Giardia duodenalis represents a species complex of tetraploid protozoan parasites that infect the small intestine of mammals. Human giardiasis is a widespread gastrointestinal disease predominantly caused by two of eight genetically distinct G. duodenalis groups, termed assemblages A and B. These two assemblages differ in their host preferences, grade of genome identity as well as frequency of allelic sequence heterogeneity (ASH), therefore assemblage-specific typing schemes are needed for epidemiological purposes such as outbreak investigations and source attribution. Here, we used whole genome datasets of assemblage B parasites derived from 18 axenically cultured patient isolates to identify genomic markers for molecular typing. Of the 42 identified genomic loci, 20 were selected to design primer sets for a nested PCR and sequencing approach, and a final set of seven markers was included in a new multi locus sequence typing (MLST) scheme. The MLST scheme was successfully applied to 109 (75%) out of 146 tested assemblage B samples. As assemblage B is characterized by high ASH, the analysis included calling of ASH positions as part of the genotyping approach to distinguish isolates. In epidemiologically unrelated samples (n = 80), the MLST scheme revealed a bipartite population structure comprised of organisms with low or high ASH. On the other hand, samples from a waterborne outbreak (n = 16) and samples from six out of eight separate epidemiologically linked cases formed separate clusters that were distinct from unrelated sporadic cases. These results indicate that the new typing scheme is informative and could assist future epidemiological studies of G. duodenalis assemblage B.

Indexed as

Disease OutbreaksGiardia lambliaGiardiasisMultilocus Sequence TypingAnimalsDNA, ProtozoanGenetic VariationGenotypeHumansMolecular EpidemiologyPhylogenyPolymerase Chain ReactionDNA, Protozoan

Identifiers

PMID42455858
PMCPMC13395364

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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.