Cargando…
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...
Autores principales: | , , , , , , , , , , , , , , , |
---|---|
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 |
_version_ | 1783608015883075584 |
---|---|
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. |
format | Online Article Text |
id | pubmed-7654156 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT ndiayetolla molecularepidemiologyofplasmodiumfalciparumbymultiplexedamplicondeepsequencinginsenegal AT symouhamad molecularepidemiologyofplasmodiumfalciparumbymultiplexedamplicondeepsequencinginsenegal AT gayeamy molecularepidemiologyofplasmodiumfalciparumbymultiplexedamplicondeepsequencinginsenegal AT siddlekatherinej molecularepidemiologyofplasmodiumfalciparumbymultiplexedamplicondeepsequencinginsenegal AT parkdanielj molecularepidemiologyofplasmodiumfalciparumbymultiplexedamplicondeepsequencinginsenegal AT beiamyk molecularepidemiologyofplasmodiumfalciparumbymultiplexedamplicondeepsequencinginsenegal AT demeawab molecularepidemiologyofplasmodiumfalciparumbymultiplexedamplicondeepsequencinginsenegal AT mbayeaminata molecularepidemiologyofplasmodiumfalciparumbymultiplexedamplicondeepsequencinginsenegal AT dieyebaba molecularepidemiologyofplasmodiumfalciparumbymultiplexedamplicondeepsequencinginsenegal AT ndiayeyayedie molecularepidemiologyofplasmodiumfalciparumbymultiplexedamplicondeepsequencinginsenegal AT ndiayeibrahimambaye molecularepidemiologyofplasmodiumfalciparumbymultiplexedamplicondeepsequencinginsenegal AT diallomamadoualpha molecularepidemiologyofplasmodiumfalciparumbymultiplexedamplicondeepsequencinginsenegal AT dionguekhadim molecularepidemiologyofplasmodiumfalciparumbymultiplexedamplicondeepsequencinginsenegal AT volkmansarahk molecularepidemiologyofplasmodiumfalciparumbymultiplexedamplicondeepsequencinginsenegal AT badianeaidasadikh molecularepidemiologyofplasmodiumfalciparumbymultiplexedamplicondeepsequencinginsenegal AT ndiayedaouda molecularepidemiologyofplasmodiumfalciparumbymultiplexedamplicondeepsequencinginsenegal |