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Molecular epidemiology of Plasmodium falciparum by multiplexed amplicon deep sequencing in Senegal

BACKGROUND: Molecular epidemiology can provide important information regarding the genetic diversity and transmission of Plasmodium falciparum, which can assist in designing and monitoring elimination efforts. However, malaria molecular epidemiology including understanding the genetic diversity of t...

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Autores principales: Ndiaye, Tolla, Sy, Mouhamad, Gaye, Amy, Siddle, Katherine J., Park, Daniel J., Bei, Amy K., Deme, Awa B., Mbaye, Aminata, Dieye, Baba, Ndiaye, Yaye Die, Ndiaye, Ibrahima Mbaye, Diallo, Mamadou Alpha, Diongue, Khadim, Volkman, Sarah K., Badiane, Aida Sadikh, Ndiaye, Daouda
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7654156/
https://www.ncbi.nlm.nih.gov/pubmed/33172455
http://dx.doi.org/10.1186/s12936-020-03471-7
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author Ndiaye, Tolla
Sy, Mouhamad
Gaye, Amy
Siddle, Katherine J.
Park, Daniel J.
Bei, Amy K.
Deme, Awa B.
Mbaye, Aminata
Dieye, Baba
Ndiaye, Yaye Die
Ndiaye, Ibrahima Mbaye
Diallo, Mamadou Alpha
Diongue, Khadim
Volkman, Sarah K.
Badiane, Aida Sadikh
Ndiaye, Daouda
author_facet Ndiaye, Tolla
Sy, Mouhamad
Gaye, Amy
Siddle, Katherine J.
Park, Daniel J.
Bei, Amy K.
Deme, Awa B.
Mbaye, Aminata
Dieye, Baba
Ndiaye, Yaye Die
Ndiaye, Ibrahima Mbaye
Diallo, Mamadou Alpha
Diongue, Khadim
Volkman, Sarah K.
Badiane, Aida Sadikh
Ndiaye, Daouda
author_sort Ndiaye, Tolla
collection PubMed
description BACKGROUND: Molecular epidemiology can provide important information regarding the genetic diversity and transmission of Plasmodium falciparum, which can assist in designing and monitoring elimination efforts. However, malaria molecular epidemiology including understanding the genetic diversity of the parasite and performing molecular surveillance of transmission has been poorly documented in Senegal. Next Generation Sequencing (NGS) offers a practical, fast and high-throughput approach to understand malaria population genetics. This study aims to unravel the population structure of P. falciparum and to estimate the allelic diversity, multiplicity of infection (MOI), and evolutionary patterns of the malaria parasite using the NGS platform. METHODS: Multiplex amplicon deep sequencing of merozoite surface protein 1 (PfMSP1) and merozoite surface protein 2 (PfMSP2) in fifty-three P. falciparum isolates from two epidemiologically different areas in the South and North of Senegal, was carried out. RESULTS: A total of 76 Pfmsp1 and 116 Pfmsp2 clones were identified and 135 different alleles were found, 56 and 79 belonged to the pfmsp1 and pfmsp2 genes, respectively. K1 and IC3D7 allelic families were most predominant in both sites. The local haplotype diversity (Hd) and nucleotide diversity (π) were higher in the South than in the North for both genes. For pfmsp1, a high positive Tajima’s D (TD) value was observed in the South (D = 2.0453) while negative TD value was recorded in the North (D = − 1.46045) and F-Statistic (Fst) was 0.19505. For pfmsp2, non-directional selection was found with a highly positive TD test in both areas and Fst was 0.02111. The mean MOI for both genes was 3.07 and 1.76 for the South and the North, respectively, with a statistically significant difference between areas (p = 0.001). CONCLUSION: This study revealed a high genetic diversity of pfmsp1 and pfmsp2 genes and low genetic differentiation in P. falciparum population in Senegal. The MOI means were significantly different between the Southern and Northern areas. Findings also showed that multiplexed amplicon deep sequencing is a useful technique to investigate genetic diversity and molecular epidemiology of P. falciparum infections.
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spelling pubmed-76541562020-11-12 Molecular epidemiology of Plasmodium falciparum by multiplexed amplicon deep sequencing in Senegal Ndiaye, Tolla Sy, Mouhamad Gaye, Amy Siddle, Katherine J. Park, Daniel J. Bei, Amy K. Deme, Awa B. Mbaye, Aminata Dieye, Baba Ndiaye, Yaye Die Ndiaye, Ibrahima Mbaye Diallo, Mamadou Alpha Diongue, Khadim Volkman, Sarah K. Badiane, Aida Sadikh Ndiaye, Daouda Malar J Research BACKGROUND: Molecular epidemiology can provide important information regarding the genetic diversity and transmission of Plasmodium falciparum, which can assist in designing and monitoring elimination efforts. However, malaria molecular epidemiology including understanding the genetic diversity of the parasite and performing molecular surveillance of transmission has been poorly documented in Senegal. Next Generation Sequencing (NGS) offers a practical, fast and high-throughput approach to understand malaria population genetics. This study aims to unravel the population structure of P. falciparum and to estimate the allelic diversity, multiplicity of infection (MOI), and evolutionary patterns of the malaria parasite using the NGS platform. METHODS: Multiplex amplicon deep sequencing of merozoite surface protein 1 (PfMSP1) and merozoite surface protein 2 (PfMSP2) in fifty-three P. falciparum isolates from two epidemiologically different areas in the South and North of Senegal, was carried out. RESULTS: A total of 76 Pfmsp1 and 116 Pfmsp2 clones were identified and 135 different alleles were found, 56 and 79 belonged to the pfmsp1 and pfmsp2 genes, respectively. K1 and IC3D7 allelic families were most predominant in both sites. The local haplotype diversity (Hd) and nucleotide diversity (π) were higher in the South than in the North for both genes. For pfmsp1, a high positive Tajima’s D (TD) value was observed in the South (D = 2.0453) while negative TD value was recorded in the North (D = − 1.46045) and F-Statistic (Fst) was 0.19505. For pfmsp2, non-directional selection was found with a highly positive TD test in both areas and Fst was 0.02111. The mean MOI for both genes was 3.07 and 1.76 for the South and the North, respectively, with a statistically significant difference between areas (p = 0.001). CONCLUSION: This study revealed a high genetic diversity of pfmsp1 and pfmsp2 genes and low genetic differentiation in P. falciparum population in Senegal. The MOI means were significantly different between the Southern and Northern areas. Findings also showed that multiplexed amplicon deep sequencing is a useful technique to investigate genetic diversity and molecular epidemiology of P. falciparum infections. BioMed Central 2020-11-10 /pmc/articles/PMC7654156/ /pubmed/33172455 http://dx.doi.org/10.1186/s12936-020-03471-7 Text en © The Author(s) 2020 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, visit http://creativecommons.org/licenses/by/4.0/. 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 in a credit line to the data.
spellingShingle Research
Ndiaye, Tolla
Sy, Mouhamad
Gaye, Amy
Siddle, Katherine J.
Park, Daniel J.
Bei, Amy K.
Deme, Awa B.
Mbaye, Aminata
Dieye, Baba
Ndiaye, Yaye Die
Ndiaye, Ibrahima Mbaye
Diallo, Mamadou Alpha
Diongue, Khadim
Volkman, Sarah K.
Badiane, Aida Sadikh
Ndiaye, Daouda
Molecular epidemiology of Plasmodium falciparum by multiplexed amplicon deep sequencing in Senegal
title Molecular epidemiology of Plasmodium falciparum by multiplexed amplicon deep sequencing in Senegal
title_full Molecular epidemiology of Plasmodium falciparum by multiplexed amplicon deep sequencing in Senegal
title_fullStr Molecular epidemiology of Plasmodium falciparum by multiplexed amplicon deep sequencing in Senegal
title_full_unstemmed Molecular epidemiology of Plasmodium falciparum by multiplexed amplicon deep sequencing in Senegal
title_short Molecular epidemiology of Plasmodium falciparum by multiplexed amplicon deep sequencing in Senegal
title_sort molecular epidemiology of plasmodium falciparum by multiplexed amplicon deep sequencing in senegal
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7654156/
https://www.ncbi.nlm.nih.gov/pubmed/33172455
http://dx.doi.org/10.1186/s12936-020-03471-7
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