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Nanopore sequencing of drug-resistance-associated genes in malaria parasites, Plasmodium falciparum
Here, we report the application of a portable sequencer, MinION, for genotyping the malaria parasite Plasmodium falciparum. In the present study, an amplicon mixture of nine representative genes causing resistance to anti-malaria drugs is diagnosed. First, we developed the procedure for four laborat...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5974085/ https://www.ncbi.nlm.nih.gov/pubmed/29844487 http://dx.doi.org/10.1038/s41598-018-26334-3 |
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author | Runtuwene, Lucky R. Tuda, Josef S. B. Mongan, Arthur E. Makalowski, Wojciech Frith, Martin C. Imwong, Mallika Srisutham, Suttipat Nguyen Thi, Lan Anh Tuan, Nghia Nguyen Eshita, Yuki Maeda, Ryuichiro Yamagishi, Junya Suzuki, Yutaka |
author_facet | Runtuwene, Lucky R. Tuda, Josef S. B. Mongan, Arthur E. Makalowski, Wojciech Frith, Martin C. Imwong, Mallika Srisutham, Suttipat Nguyen Thi, Lan Anh Tuan, Nghia Nguyen Eshita, Yuki Maeda, Ryuichiro Yamagishi, Junya Suzuki, Yutaka |
author_sort | Runtuwene, Lucky R. |
collection | PubMed |
description | Here, we report the application of a portable sequencer, MinION, for genotyping the malaria parasite Plasmodium falciparum. In the present study, an amplicon mixture of nine representative genes causing resistance to anti-malaria drugs is diagnosed. First, we developed the procedure for four laboratory strains (3D7, Dd2, 7G8, and K1), and then applied the developed procedure to ten clinical samples. We sequenced and re-sequenced the samples using the obsolete flow cell R7.3 and the most recent flow cell R9.4. Although the average base-call accuracy of the MinION sequencer was 74.3%, performing >50 reads at a given position improves the accuracy of the SNP call, yielding a precision and recall rate of 0.92 and 0.8, respectively, with flow cell R7.3. These numbers increased significantly with flow cell R9.4, in which the precision and recall are 1 and 0.97, respectively. Based on the SNP information, the drug resistance status in ten clinical samples was inferred. We also analyzed K13 gene mutations from 54 additional clinical samples as a proof of concept. We found that a novel amino-acid changing variation is dominant in this area. In addition, we performed a small population-based analysis using 3 and 5 cases (K13) and 10 and 5 cases (PfCRT) from Thailand and Vietnam, respectively. We identified distinct genotypes from the respective regions. This approach will change the standard methodology for the sequencing diagnosis of malaria parasites, especially in developing countries. |
format | Online Article Text |
id | pubmed-5974085 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-59740852018-05-31 Nanopore sequencing of drug-resistance-associated genes in malaria parasites, Plasmodium falciparum Runtuwene, Lucky R. Tuda, Josef S. B. Mongan, Arthur E. Makalowski, Wojciech Frith, Martin C. Imwong, Mallika Srisutham, Suttipat Nguyen Thi, Lan Anh Tuan, Nghia Nguyen Eshita, Yuki Maeda, Ryuichiro Yamagishi, Junya Suzuki, Yutaka Sci Rep Article Here, we report the application of a portable sequencer, MinION, for genotyping the malaria parasite Plasmodium falciparum. In the present study, an amplicon mixture of nine representative genes causing resistance to anti-malaria drugs is diagnosed. First, we developed the procedure for four laboratory strains (3D7, Dd2, 7G8, and K1), and then applied the developed procedure to ten clinical samples. We sequenced and re-sequenced the samples using the obsolete flow cell R7.3 and the most recent flow cell R9.4. Although the average base-call accuracy of the MinION sequencer was 74.3%, performing >50 reads at a given position improves the accuracy of the SNP call, yielding a precision and recall rate of 0.92 and 0.8, respectively, with flow cell R7.3. These numbers increased significantly with flow cell R9.4, in which the precision and recall are 1 and 0.97, respectively. Based on the SNP information, the drug resistance status in ten clinical samples was inferred. We also analyzed K13 gene mutations from 54 additional clinical samples as a proof of concept. We found that a novel amino-acid changing variation is dominant in this area. In addition, we performed a small population-based analysis using 3 and 5 cases (K13) and 10 and 5 cases (PfCRT) from Thailand and Vietnam, respectively. We identified distinct genotypes from the respective regions. This approach will change the standard methodology for the sequencing diagnosis of malaria parasites, especially in developing countries. Nature Publishing Group UK 2018-05-29 /pmc/articles/PMC5974085/ /pubmed/29844487 http://dx.doi.org/10.1038/s41598-018-26334-3 Text en © The Author(s) 2018 Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Runtuwene, Lucky R. Tuda, Josef S. B. Mongan, Arthur E. Makalowski, Wojciech Frith, Martin C. Imwong, Mallika Srisutham, Suttipat Nguyen Thi, Lan Anh Tuan, Nghia Nguyen Eshita, Yuki Maeda, Ryuichiro Yamagishi, Junya Suzuki, Yutaka Nanopore sequencing of drug-resistance-associated genes in malaria parasites, Plasmodium falciparum |
title | Nanopore sequencing of drug-resistance-associated genes in malaria parasites, Plasmodium falciparum |
title_full | Nanopore sequencing of drug-resistance-associated genes in malaria parasites, Plasmodium falciparum |
title_fullStr | Nanopore sequencing of drug-resistance-associated genes in malaria parasites, Plasmodium falciparum |
title_full_unstemmed | Nanopore sequencing of drug-resistance-associated genes in malaria parasites, Plasmodium falciparum |
title_short | Nanopore sequencing of drug-resistance-associated genes in malaria parasites, Plasmodium falciparum |
title_sort | nanopore sequencing of drug-resistance-associated genes in malaria parasites, plasmodium falciparum |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5974085/ https://www.ncbi.nlm.nih.gov/pubmed/29844487 http://dx.doi.org/10.1038/s41598-018-26334-3 |
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