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

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.

Authors

Institutions

Publication Details

Journal
Journal of Infection
Published
2025-01-29
DOI
https://doi.org/10.1016/j.jinf.2025.106427
Citations
1
Primary Topic
Parasitic Infections and Diagnostics
Type
article
Field-Weighted Citation Impact
2.05

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Matthew A. Knox, David T. S. Hayman, Paul Ogbuigwe, Juan C. García–R et al.
1 citations
Journal of Infection
Parasitic Infections and Diagnostics
2.05
article

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

Matthew A. Knox, David T. S. Hayman, Paul Ogbuigwe, Juan C. García–R, Nigel French, Patrick J. Biggs, Anthony Pita, Niluka Velathanthir
article en
1 citations

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.

Journal of InfectionVol. 90(2)
Massey University (NZ)
Ministry of Health, New Zealand, Royal Society Te Apārangi, Massey University
Life below water
Openalex Percentile: Top 21%
Parasitic Infections and Diagnostics
2.05
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.