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Development of amplicon deep sequencing markers and data analysis pipeline for genotyping multi-clonal malaria infections

BACKGROUND: Amplicon deep sequencing permits sensitive detection of minority clones and improves discriminatory power for genotyping multi-clone Plasmodium falciparum infections. New amplicon sequencing and data analysis protocols are needed for genotyping in epidemiological studies and drug efficac...

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Autores principales: Lerch, Anita, Koepfli, Cristian, Hofmann, Natalie E., Messerli, Camilla, Wilcox, Stephen, Kattenberg, Johanna H., Betuela, Inoni, O’Connor, Liam, Mueller, Ivo, Felger, Ingrid
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5682641/
https://www.ncbi.nlm.nih.gov/pubmed/29132317
http://dx.doi.org/10.1186/s12864-017-4260-y
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author Lerch, Anita
Koepfli, Cristian
Hofmann, Natalie E.
Messerli, Camilla
Wilcox, Stephen
Kattenberg, Johanna H.
Betuela, Inoni
O’Connor, Liam
Mueller, Ivo
Felger, Ingrid
author_facet Lerch, Anita
Koepfli, Cristian
Hofmann, Natalie E.
Messerli, Camilla
Wilcox, Stephen
Kattenberg, Johanna H.
Betuela, Inoni
O’Connor, Liam
Mueller, Ivo
Felger, Ingrid
author_sort Lerch, Anita
collection PubMed
description BACKGROUND: Amplicon deep sequencing permits sensitive detection of minority clones and improves discriminatory power for genotyping multi-clone Plasmodium falciparum infections. New amplicon sequencing and data analysis protocols are needed for genotyping in epidemiological studies and drug efficacy trials of P. falciparum. METHODS: Targeted sequencing of molecular marker csp and novel marker cpmp was conducted in duplicate on mixtures of parasite culture strains and 37 field samples. A protocol allowing to multiplex up to 384 samples in a single sequencing run was applied. Software “HaplotypR” was developed for data analysis. RESULTS: Cpmp was highly diverse (H(e) = 0.96) in contrast to csp (H(e) = 0.57). Minority clones were robustly detected if their frequency was >1%. False haplotype calls owing to sequencing errors were observed below that threshold. CONCLUSIONS: To reliably detect haplotypes at very low frequencies, experiments are best performed in duplicate and should aim for coverage of >10′000 reads/amplicon. When compared to length polymorphic marker msp2, highly multiplexed amplicon sequencing displayed greater sensitivity in detecting minority clones. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12864-017-4260-y) contains supplementary material, which is available to authorized users.
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spelling pubmed-56826412017-11-20 Development of amplicon deep sequencing markers and data analysis pipeline for genotyping multi-clonal malaria infections Lerch, Anita Koepfli, Cristian Hofmann, Natalie E. Messerli, Camilla Wilcox, Stephen Kattenberg, Johanna H. Betuela, Inoni O’Connor, Liam Mueller, Ivo Felger, Ingrid BMC Genomics Methdology Article BACKGROUND: Amplicon deep sequencing permits sensitive detection of minority clones and improves discriminatory power for genotyping multi-clone Plasmodium falciparum infections. New amplicon sequencing and data analysis protocols are needed for genotyping in epidemiological studies and drug efficacy trials of P. falciparum. METHODS: Targeted sequencing of molecular marker csp and novel marker cpmp was conducted in duplicate on mixtures of parasite culture strains and 37 field samples. A protocol allowing to multiplex up to 384 samples in a single sequencing run was applied. Software “HaplotypR” was developed for data analysis. RESULTS: Cpmp was highly diverse (H(e) = 0.96) in contrast to csp (H(e) = 0.57). Minority clones were robustly detected if their frequency was >1%. False haplotype calls owing to sequencing errors were observed below that threshold. CONCLUSIONS: To reliably detect haplotypes at very low frequencies, experiments are best performed in duplicate and should aim for coverage of >10′000 reads/amplicon. When compared to length polymorphic marker msp2, highly multiplexed amplicon sequencing displayed greater sensitivity in detecting minority clones. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12864-017-4260-y) contains supplementary material, which is available to authorized users. BioMed Central 2017-11-13 /pmc/articles/PMC5682641/ /pubmed/29132317 http://dx.doi.org/10.1186/s12864-017-4260-y Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Methdology Article
Lerch, Anita
Koepfli, Cristian
Hofmann, Natalie E.
Messerli, Camilla
Wilcox, Stephen
Kattenberg, Johanna H.
Betuela, Inoni
O’Connor, Liam
Mueller, Ivo
Felger, Ingrid
Development of amplicon deep sequencing markers and data analysis pipeline for genotyping multi-clonal malaria infections
title Development of amplicon deep sequencing markers and data analysis pipeline for genotyping multi-clonal malaria infections
title_full Development of amplicon deep sequencing markers and data analysis pipeline for genotyping multi-clonal malaria infections
title_fullStr Development of amplicon deep sequencing markers and data analysis pipeline for genotyping multi-clonal malaria infections
title_full_unstemmed Development of amplicon deep sequencing markers and data analysis pipeline for genotyping multi-clonal malaria infections
title_short Development of amplicon deep sequencing markers and data analysis pipeline for genotyping multi-clonal malaria infections
title_sort development of amplicon deep sequencing markers and data analysis pipeline for genotyping multi-clonal malaria infections
topic Methdology Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5682641/
https://www.ncbi.nlm.nih.gov/pubmed/29132317
http://dx.doi.org/10.1186/s12864-017-4260-y
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