High Plasmodium falciparum genetic diversity and temporal stability despite control efforts in high transmission settings along the international border between Zambia and the Democratic Republic of the Congo.


Journal

Malaria journal
ISSN: 1475-2875
Titre abrégé: Malar J
Pays: England
ID NLM: 101139802

Informations de publication

Date de publication:
04 Dec 2019
Historique:
received: 11 06 2019
accepted: 21 11 2019
entrez: 6 12 2019
pubmed: 6 12 2019
medline: 9 4 2020
Statut: epublish

Résumé

While the utility of parasite genotyping for malaria elimination has been extensively documented in low to moderate transmission settings, it has been less well-characterized in holoendemic regions. High malaria burden settings have received renewed attention acknowledging their critical role in malaria elimination. Defining the role for parasite genomics in driving these high burden settings towards elimination will enhance future control programme planning. Amplicon deep sequencing was used to characterize parasite population genetic diversity at polymorphic Plasmodium falciparum loci, Pfama1 and Pfcsp, at two timepoints in June-July 2016 and January-March 2017 in a high transmission region along the international border between Luapula Province, Zambia and Haut-Katanga Province, the Democratic Republic of the Congo (DRC). High genetic diversity was observed across both seasons and in both countries. No evidence of population structure was observed between parasite populations on either side of the border, suggesting that this region may be one contiguous transmission zone. Despite a decline in parasite prevalence at the sampling locations in Haut-Katanga Province, no genetic signatures of a population bottleneck were detected, suggesting that larger declines in transmission may be required to reduce parasite genetic diversity. Analysing rare variants may be a suitable alternative approach for detecting epidemiologically important genetic signatures in highly diverse populations; however, the challenge is distinguishing true signals from potential artifacts introduced by small sample sizes. Continuing to explore and document the utility of various parasite genotyping approaches for understanding malaria transmission in holoendemic settings will be valuable to future control and elimination programmes, empowering evidence-based selection of tools and methods to address pertinent questions, thus enabling more efficient resource allocation.

Sections du résumé

BACKGROUND BACKGROUND
While the utility of parasite genotyping for malaria elimination has been extensively documented in low to moderate transmission settings, it has been less well-characterized in holoendemic regions. High malaria burden settings have received renewed attention acknowledging their critical role in malaria elimination. Defining the role for parasite genomics in driving these high burden settings towards elimination will enhance future control programme planning.
METHODS METHODS
Amplicon deep sequencing was used to characterize parasite population genetic diversity at polymorphic Plasmodium falciparum loci, Pfama1 and Pfcsp, at two timepoints in June-July 2016 and January-March 2017 in a high transmission region along the international border between Luapula Province, Zambia and Haut-Katanga Province, the Democratic Republic of the Congo (DRC).
RESULTS RESULTS
High genetic diversity was observed across both seasons and in both countries. No evidence of population structure was observed between parasite populations on either side of the border, suggesting that this region may be one contiguous transmission zone. Despite a decline in parasite prevalence at the sampling locations in Haut-Katanga Province, no genetic signatures of a population bottleneck were detected, suggesting that larger declines in transmission may be required to reduce parasite genetic diversity. Analysing rare variants may be a suitable alternative approach for detecting epidemiologically important genetic signatures in highly diverse populations; however, the challenge is distinguishing true signals from potential artifacts introduced by small sample sizes.
CONCLUSIONS CONCLUSIONS
Continuing to explore and document the utility of various parasite genotyping approaches for understanding malaria transmission in holoendemic settings will be valuable to future control and elimination programmes, empowering evidence-based selection of tools and methods to address pertinent questions, thus enabling more efficient resource allocation.

Identifiants

pubmed: 31801548
doi: 10.1186/s12936-019-3023-4
pii: 10.1186/s12936-019-3023-4
pmc: PMC6894251
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

400

Subventions

Organisme : NLM NIH HHS
ID : DP2 LM013102
Pays : United States
Organisme : NIAID NIH HHS
ID : U19 AI089680
Pays : United States
Organisme : National Institute of Allergy and Infectious Diseases
ID : 5U19AI089680
Organisme : NIH HHS
ID : 5T32AI007417
Pays : United States

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Auteurs

Julia C Pringle (JC)

W. Harry Feinstone Department of Molecular Microbiology and Immunology, Johns Hopkins Malaria Research Institute, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, 21205, USA. jpringl3@jhu.edu.

Amy Wesolowski (A)

Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, 21205, USA.

Sophie Berube (S)

Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, 21205, USA.

Tamaki Kobayashi (T)

Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, 21205, USA.

Mary E Gebhardt (ME)

W. Harry Feinstone Department of Molecular Microbiology and Immunology, Johns Hopkins Malaria Research Institute, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, 21205, USA.

Modest Mulenga (M)

Tropical Diseases Research Centre, Ndola, Zambia.

Mike Chaponda (M)

Tropical Diseases Research Centre, Ndola, Zambia.

Thierry Bobanga (T)

Université Protestante au Congo and University of Kinshasa, Kinshasa, Democratic Republic of the Congo.

Jonathan J Juliano (JJ)

Division of Infectious Diseases, School of Medicine, University of North Carolina, Chapel Hill, NC, 27599, USA.

Steven Meshnick (S)

Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, 27599, USA.

William J Moss (WJ)

Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, 21205, USA.

Giovanna Carpi (G)

Department of Biological Sciences, Purdue University, West Lafayette, IN, 47907, USA.

Douglas E Norris (DE)

W. Harry Feinstone Department of Molecular Microbiology and Immunology, Johns Hopkins Malaria Research Institute, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, 21205, USA. douglas.norris@jhu.edu.

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Classifications MeSH