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

Simple item page
dc.citation.issue2
dc.citation.volume90
dc.contributor.authorOgbuigwe P
dc.contributor.authorBiggs PJ
dc.contributor.authorGarcia-Ramirez JC
dc.contributor.authorKnox MA
dc.contributor.authorPita A
dc.contributor.authorVelathanthir N
dc.contributor.authorFrench NP
dc.contributor.authorHayman DTS
dc.coverage.spatialEngland
dc.date.accessioned2025-02-19T00:58:51Z
dc.date.available2025-02-19T00:58:51Z
dc.date.issued2025-01-30
dc.description.abstractCryptosporidiosis 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.
dc.description.confidentialfalse
dc.edition.editionFebruary 2025
dc.format.pagination106427-
dc.identifier.author-urlhttps://www.ncbi.nlm.nih.gov/pubmed/39889855
dc.identifier.citationOgbuigwe 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-).
dc.identifier.doi10.1016/j.jinf.2025.106427
dc.identifier.eissn1532-2742
dc.identifier.elements-typejournal-article
dc.identifier.issn0163-4453
dc.identifier.number106427
dc.identifier.piiS0163-4453(25)00021-0
dc.identifier.urihttps://mro.massey.ac.nz/handle/10179/72508
dc.languageeng
dc.publisherElsevier Ltd on behalf of The British Infection Association
dc.publisher.urihttps://www.sciencedirect.com/science/article/pii/S0163445325000210
dc.relation.isPartOfJ Infect
dc.rights(c) 2025 The Author/s
dc.rightsCC BY 4.0
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectCryptosporidiosis
dc.subjectmetabarcoding
dc.subjectmolecular Epidemiology
dc.subjectnext generation sequencing
dc.titleMetabarcoding captures genetic diversity and links cases in outbreaks of cryptosporidiosis in New Zealand.
dc.typeJournal article
pubs.elements-id499531
pubs.organisational-groupOther
Files
Original bundle
Now showing 1 - 3 of 3
Thumbnail Image
Name:
499531 PDF.pdf
Size:
2.36 MB
Format:
Adobe Portable Document Format
Description:
Evidence
Download
Thumbnail Image
Name:
1-s2.0-S0163445325000210-mmc2.xlsx
Size:
23.61 KB
Format:
Microsoft Excel
Description:
Evidence
Download
Thumbnail Image
Name:
1-s2.0-S0163445325000210-mmc1.docx
Size:
1.83 MB
Format:
Microsoft Word XML
Description:
Evidence
Download
License bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
license.txt
Size:
9.22 KB
Format:
Plain Text
Description:
Download
Collections
Journal Articles