Repository logo
    Info Pages
    Content PolicyCopyright & Access InfoDepositing to MRODeposit LicenseDeposit License SummaryFile FormatsTheses FAQDoctoral Thesis Deposit
    Communities & Collections
    All of MRO
  • English
  • العربية
  • বাংলা
  • Català
  • Čeština
  • Deutsch
  • Ελληνικά
  • Español
  • Suomi
  • Français
  • Gàidhlig
  • हिंदी
  • Magyar
  • Italiano
  • Қазақ
  • Latviešu
  • Nederlands
  • Polski
  • Português
  • Português do Brasil
  • Srpski (lat)
  • Српски
  • Svenska
  • Türkçe
  • Yкраї́нська
  • Tiếng Việt
Log In
New user? Click here to register using a personal email and password.Have you forgotten your password?
  1. Home
  2. Browse by Author

Browsing by Author "Velathanthir N"

Filter results by typing the first few letters
Now showing 1 - 1 of 1
  • Results Per Page
  • Sort Options
  • Loading...
    Thumbnail Image
    Item
    Metabarcoding captures genetic diversity and links cases in outbreaks of cryptosporidiosis in New Zealand.
    (Elsevier Ltd on behalf of The British Infection Association, 2025-01-30) Ogbuigwe P; Biggs PJ; Garcia-Ramirez JC; Knox MA; Pita A; Velathanthir N; French NP; Hayman DTS
    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.

Copyright © Massey University  |  DSpace software copyright © 2002-2026 LYRASIS

  • Contact Us
  • Copyright Take Down Request
  • Massey University Privacy Statement
  • Cookie settings
Repository logo COAR Notify