research data . Dataset . 2019

Mosquitoes as a feasible sentinel group for anti-malarial resistance surveillance by Next Generation Sequencing of Plasmodium falciparum

Smith-Aguasca, Rebecca; Himanshu Gupta; Uberegui, Estefania; Maquina, Mara; Saute, Francisco; Paaijmans, Krijn; Mayor, Alfredo; Huijben, Silvie;
  • Published: 18 Oct 2019
  • Publisher: figshare
Abstract
Abstract Background Plasmodium falciparum drug resistance surveillance is key to successful disease control and eradication. Contemporary methods that only allow determination of prevalence of resistance are expensive, time consuming and require ethical considerations. A newer method involving Next Generation Sequencing (NGS) permits obtaining frequency of resistance while allowing to detect minority variants in mixed infections. Here, NGS was tested for P. falciparum resistance marker detection in mosquito samples as a feasible and suitable alternative for molecular resistance surveillance. Anopheles funestus were collected in southern Mozambique using CDC ligh...
Subjects
Medical Subject Headings: parasitic diseases
free text keywords: Medicine, Microbiology, FOS: Biological sciences, Genetics, Biotechnology, Ecology, Cancer, 110309 Infectious Diseases, FOS: Health sciences, 60506 Virology, Computational Biology
Download fromView all 3 versions
figshare
Dataset . 2019
Provider: Datacite
figshare
Dataset . 2019
Provider: Datacite
Abstract
Abstract Background Plasmodium falciparum drug resistance surveillance is key to successful disease control and eradication. Contemporary methods that only allow determination of prevalence of resistance are expensive, time consuming and require ethical considerations. A newer method involving Next Generation Sequencing (NGS) permits obtaining frequency of resistance while allowing to detect minority variants in mixed infections. Here, NGS was tested for P. falciparum resistance marker detection in mosquito samples as a feasible and suitable alternative for molecular resistance surveillance. Anopheles funestus were collected in southern Mozambique using CDC ligh...
Subjects
Medical Subject Headings: parasitic diseases
free text keywords: Medicine, Microbiology, FOS: Biological sciences, Genetics, Biotechnology, Ecology, Cancer, 110309 Infectious Diseases, FOS: Health sciences, 60506 Virology, Computational Biology
Download fromView all 3 versions
figshare
Dataset . 2019
Provider: Datacite
figshare
Dataset . 2019
Provider: Datacite
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