Ogbuigwe PBiggs PJGarcia-Ramirez JCKnox MAPita AVelathanthir NFrench NPHayman DTS2025-02-192025-02-192025-01-30Ogbuigwe P, Biggs PJ, Garcia-Ramirez JC, Knox MA, Pita A, Velathanthir N, French NP, Hayman DTS. (2025). Metabarcoding captures genetic diversity and links cases in outbreaks of cryptosporidiosis in New Zealand.. J Infect. 90. 2. (pp. 106427-).0163-4453https://mro.massey.ac.nz/handle/10179/72508Cryptosporidiosis 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.(c) 2025 The Author/sCC BY 4.0https://creativecommons.org/licenses/by/4.0/Cryptosporidiosismetabarcodingmolecular Epidemiologynext generation sequencingJournal article10.1016/j.jinf.2025.1064271532-2742journal-article106427-https://www.ncbi.nlm.nih.gov/pubmed/39889855106427S0163-4453(25)00021-0