Metabarcoding captures genetic diversity and links cases in outbreaks of cryptosporidiosis in New Zealand

IF 14.3 1区医学 Q1 INFECTIOUS DISEASES

Journal of Infection Pub Date : 2025-02-01 DOI:10.1016/j.jinf.2025.106427

Paul Ogbuigwe , Patrick J. Biggs, Juan Carlos Garcia-Ramirez, Matthew A. Knox, Anthony Pita, Niluka Velathanthiri, Nigel P. French, David T.S. Hayman

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引用次数: 0

Abstract

Cryptosporidiosis is a disease caused by the parasite Cryptosporidium. Globally, it is a leading cause of diarrhoea and a notifiable disease in New Zealand. Molecular analyses of Cryptosporidium isolated from notified cases do not always provide support for epidemiological links between individuals. We hypothesised this could be due to undetected diversity and the use of consensus Sanger sequence analyses. Here, we analysed 105 Cryptosporidium samples from outbreaks and sporadic cases occurring between 2010 and 2018 in New Zealand using both Next-Generation Sequencing (NGS) and Sanger sequencing of the glycoprotein 60 (gp60) locus. NGS metabarcoding at the gp60 locus uncovered significant intra- and inter-sample genotypic diversity in outbreaks and identified subtypes shared by epidemiologically linked cases, along with rare subtypes, suggesting it may be a useful tool for epidemiological investigations.

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来源期刊

Journal of Infection 医学-传染病学

CiteScore

45.90

自引率

3.20%

发文量

475

审稿时长

16 days

期刊介绍： The Journal of Infection publishes original papers on all aspects of infection - clinical, microbiological and epidemiological. The Journal seeks to bring together knowledge from all specialties involved in infection research and clinical practice, and present the best work in the ever-changing field of infection. Each issue brings you Editorials that describe current or controversial topics of interest, high quality Reviews to keep you in touch with the latest developments in specific fields of interest, an Epidemiology section reporting studies in the hospital and the general community, and a lively correspondence section.