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Uncovering the genetic diversity of Giardia intestinalis in isolates from outbreaks in New Zealand
BACKGROUND: Giardia intestinalis is one of the most common causes of diarrhoea worldwide. Molecular techniques have greatly improved our understanding of the taxonomy and epidemiology of this parasite. Co-infection with mixed (sub-) assemblages has been reported, however, Sanger sequencing is someti...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9066983/ https://www.ncbi.nlm.nih.gov/pubmed/35509037 http://dx.doi.org/10.1186/s40249-022-00969-x |
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author | Ogbuigwe, Paul Biggs, Patrick J. Garcia-Ramirez, Juan Carlos Knox, Matthew A. Pita, Anthony Velathanthiri, Niluka French, Nigel P. Hayman, David T. S. |
author_facet | Ogbuigwe, Paul Biggs, Patrick J. Garcia-Ramirez, Juan Carlos Knox, Matthew A. Pita, Anthony Velathanthiri, Niluka French, Nigel P. Hayman, David T. S. |
author_sort | Ogbuigwe, Paul |
collection | PubMed |
description | BACKGROUND: Giardia intestinalis is one of the most common causes of diarrhoea worldwide. Molecular techniques have greatly improved our understanding of the taxonomy and epidemiology of this parasite. Co-infection with mixed (sub-) assemblages has been reported, however, Sanger sequencing is sometimes unable to identify shared subtypes between samples involved in the same epidemiologically linked event, due to samples showing multiple dominant subtypes within the same outbreak. Here, we aimed to use a metabarcoding approach to uncover the genetic diversity within samples from sporadic and outbreak cases of giardiasis to characterise the subtype diversity, and determine if there are common sequences shared by epidemiologically linked cases that are missed by Sanger sequencing. METHODS: We built a database with 1109 unique glutamate dehydrogenase (gdh) locus sequences covering most of the assemblages of G. intestinalis and used gdh metabarcoding to analyse 16 samples from sporadic and outbreak cases of giardiasis that occurred in New Zealand between 2010 and 2018. RESULTS: There is considerable diversity of subtypes of G. intestinalis present in each sample. The utilisation of metabarcoding enabled the identification of shared subtypes between samples from the same outbreak. Multiple variants were identified in 13 of 16 samples, with Assemblage B variants most common, and Assemblages E and A present in mixed infections. CONCLUSIONS: This study showed that G. intestinalis infections in humans are frequently mixed, with multiple subtypes present in each host. Shared sequences among epidemiologically linked cases not identified through Sanger sequencing were detected. Considering the variation in symptoms observed in cases of giardiasis, and the potential link between symptoms and (sub-) assemblages, the frequency of mixed infections could have implications for our understanding of host–pathogen interactions. GRAPHICAL ABSTRACT: [Image: see text] SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40249-022-00969-x. |
format | Online Article Text |
id | pubmed-9066983 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-90669832022-05-04 Uncovering the genetic diversity of Giardia intestinalis in isolates from outbreaks in New Zealand Ogbuigwe, Paul Biggs, Patrick J. Garcia-Ramirez, Juan Carlos Knox, Matthew A. Pita, Anthony Velathanthiri, Niluka French, Nigel P. Hayman, David T. S. Infect Dis Poverty Research Article BACKGROUND: Giardia intestinalis is one of the most common causes of diarrhoea worldwide. Molecular techniques have greatly improved our understanding of the taxonomy and epidemiology of this parasite. Co-infection with mixed (sub-) assemblages has been reported, however, Sanger sequencing is sometimes unable to identify shared subtypes between samples involved in the same epidemiologically linked event, due to samples showing multiple dominant subtypes within the same outbreak. Here, we aimed to use a metabarcoding approach to uncover the genetic diversity within samples from sporadic and outbreak cases of giardiasis to characterise the subtype diversity, and determine if there are common sequences shared by epidemiologically linked cases that are missed by Sanger sequencing. METHODS: We built a database with 1109 unique glutamate dehydrogenase (gdh) locus sequences covering most of the assemblages of G. intestinalis and used gdh metabarcoding to analyse 16 samples from sporadic and outbreak cases of giardiasis that occurred in New Zealand between 2010 and 2018. RESULTS: There is considerable diversity of subtypes of G. intestinalis present in each sample. The utilisation of metabarcoding enabled the identification of shared subtypes between samples from the same outbreak. Multiple variants were identified in 13 of 16 samples, with Assemblage B variants most common, and Assemblages E and A present in mixed infections. CONCLUSIONS: This study showed that G. intestinalis infections in humans are frequently mixed, with multiple subtypes present in each host. Shared sequences among epidemiologically linked cases not identified through Sanger sequencing were detected. Considering the variation in symptoms observed in cases of giardiasis, and the potential link between symptoms and (sub-) assemblages, the frequency of mixed infections could have implications for our understanding of host–pathogen interactions. GRAPHICAL ABSTRACT: [Image: see text] SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40249-022-00969-x. BioMed Central 2022-05-04 /pmc/articles/PMC9066983/ /pubmed/35509037 http://dx.doi.org/10.1186/s40249-022-00969-x Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visithttp://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Ogbuigwe, Paul Biggs, Patrick J. Garcia-Ramirez, Juan Carlos Knox, Matthew A. Pita, Anthony Velathanthiri, Niluka French, Nigel P. Hayman, David T. S. Uncovering the genetic diversity of Giardia intestinalis in isolates from outbreaks in New Zealand |
title | Uncovering the genetic diversity of Giardia intestinalis in isolates from outbreaks in New Zealand |
title_full | Uncovering the genetic diversity of Giardia intestinalis in isolates from outbreaks in New Zealand |
title_fullStr | Uncovering the genetic diversity of Giardia intestinalis in isolates from outbreaks in New Zealand |
title_full_unstemmed | Uncovering the genetic diversity of Giardia intestinalis in isolates from outbreaks in New Zealand |
title_short | Uncovering the genetic diversity of Giardia intestinalis in isolates from outbreaks in New Zealand |
title_sort | uncovering the genetic diversity of giardia intestinalis in isolates from outbreaks in new zealand |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9066983/ https://www.ncbi.nlm.nih.gov/pubmed/35509037 http://dx.doi.org/10.1186/s40249-022-00969-x |
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