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Identification of genetic variations in Necator americanus through resequencing by whole genome amplification
OBJECTIVE: To describe a new strategy for the whole genome resequencing of small parasite samples. METHODS: Whole genome resequencing was based on a multiple displacement amplification (MDA) method. Sequencing reads were aligned with the reference genome, and a Bayesian model was used to calculate g...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6753555/ https://www.ncbi.nlm.nih.gov/pubmed/31331217 http://dx.doi.org/10.1177/0300060519862069 |
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author | Liu, Yumei Liu, Hongxuan Xie, Yuefeng Zhang, Baohuan Zou, Xiaoqian Ou, Meiling Ye, Xiaohong Han, Yajing Wu, Jing Chen, Xiaojing Dong, Shirui Zhu, Kehui Guo, Congcong Wang, Penghua Zhai, Hening Jing, Chunxia Yang, Guang |
author_facet | Liu, Yumei Liu, Hongxuan Xie, Yuefeng Zhang, Baohuan Zou, Xiaoqian Ou, Meiling Ye, Xiaohong Han, Yajing Wu, Jing Chen, Xiaojing Dong, Shirui Zhu, Kehui Guo, Congcong Wang, Penghua Zhai, Hening Jing, Chunxia Yang, Guang |
author_sort | Liu, Yumei |
collection | PubMed |
description | OBJECTIVE: To describe a new strategy for the whole genome resequencing of small parasite samples. METHODS: Whole genome resequencing was based on a multiple displacement amplification (MDA) method. Sequencing reads were aligned with the reference genome, and a Bayesian model was used to calculate genotype probabilities. De novo genome assembly was conducted, and single nucleotide polymorphisms (SNPs) were detected. Gene ontology (GO) analysis was used to determine connections between SNPs and genes. RESULTS: In total, 64.12% of the parasite genome sequence was mapped to Necator americanus. fa, and 125,553 SNPs were detected. GO analysis revealed that most SNPs in coding regions were probably associated with common drug targets. CONCLUSION: These results reveal the feasibility of a new strategy to detect genetic variations of small parasites. This study also provides a proof-of-principle for the molecular classification and epidemiological analysis of other parasites. |
format | Online Article Text |
id | pubmed-6753555 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-67535552019-09-25 Identification of genetic variations in Necator americanus through resequencing by whole genome amplification Liu, Yumei Liu, Hongxuan Xie, Yuefeng Zhang, Baohuan Zou, Xiaoqian Ou, Meiling Ye, Xiaohong Han, Yajing Wu, Jing Chen, Xiaojing Dong, Shirui Zhu, Kehui Guo, Congcong Wang, Penghua Zhai, Hening Jing, Chunxia Yang, Guang J Int Med Res Clinical Research Reports OBJECTIVE: To describe a new strategy for the whole genome resequencing of small parasite samples. METHODS: Whole genome resequencing was based on a multiple displacement amplification (MDA) method. Sequencing reads were aligned with the reference genome, and a Bayesian model was used to calculate genotype probabilities. De novo genome assembly was conducted, and single nucleotide polymorphisms (SNPs) were detected. Gene ontology (GO) analysis was used to determine connections between SNPs and genes. RESULTS: In total, 64.12% of the parasite genome sequence was mapped to Necator americanus. fa, and 125,553 SNPs were detected. GO analysis revealed that most SNPs in coding regions were probably associated with common drug targets. CONCLUSION: These results reveal the feasibility of a new strategy to detect genetic variations of small parasites. This study also provides a proof-of-principle for the molecular classification and epidemiological analysis of other parasites. SAGE Publications 2019-07-23 2019-09 /pmc/articles/PMC6753555/ /pubmed/31331217 http://dx.doi.org/10.1177/0300060519862069 Text en © The Author(s) 2019 http://creativecommons.org/licenses/by-nc/4.0/ Creative Commons Non Commercial CC BY-NC: This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (http://www.creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Clinical Research Reports Liu, Yumei Liu, Hongxuan Xie, Yuefeng Zhang, Baohuan Zou, Xiaoqian Ou, Meiling Ye, Xiaohong Han, Yajing Wu, Jing Chen, Xiaojing Dong, Shirui Zhu, Kehui Guo, Congcong Wang, Penghua Zhai, Hening Jing, Chunxia Yang, Guang Identification of genetic variations in Necator americanus through resequencing by whole genome amplification |
title | Identification of genetic variations in Necator
americanus through resequencing by whole genome
amplification |
title_full | Identification of genetic variations in Necator
americanus through resequencing by whole genome
amplification |
title_fullStr | Identification of genetic variations in Necator
americanus through resequencing by whole genome
amplification |
title_full_unstemmed | Identification of genetic variations in Necator
americanus through resequencing by whole genome
amplification |
title_short | Identification of genetic variations in Necator
americanus through resequencing by whole genome
amplification |
title_sort | identification of genetic variations in necator
americanus through resequencing by whole genome
amplification |
topic | Clinical Research Reports |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6753555/ https://www.ncbi.nlm.nih.gov/pubmed/31331217 http://dx.doi.org/10.1177/0300060519862069 |
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