Back to Search Start Over

Temporal and spatial analysis of Plasmodium falciparum genomics reveals patterns of parasite connectivity in a low-transmission district in Southern Province, Zambia.

Authors :
Fola AA
Moser KA
Aydemir O
Hennelly C
Kobayashi T
Shields T
Hamapumbu H
Musonda M
Katowa B
Matoba J
Stevenson JC
Norris DE
Thuma PE
Wesolowski A
Moss WJ
Bailey JA
Juliano JJ
Source :
Malaria journal [Malar J] 2023 Jul 07; Vol. 22 (1), pp. 208. Date of Electronic Publication: 2023 Jul 07.
Publication Year :
2023

Abstract

Background: Understanding temporal and spatial dynamics of malaria transmission will help to inform effective interventions and strategies in regions approaching elimination. Parasite genomics are increasingly used to monitor epidemiologic trends, including assessing residual transmission across seasons and importation of malaria into these regions.<br />Methods: In a low and seasonal transmission setting of southern Zambia, a total of 441 Plasmodium falciparum samples collected from 8 neighbouring health centres between 2012 and 2018 were genotyped using molecular inversion probes (MIPs n = 1793) targeting a total of 1832 neutral and geographically informative SNPs distributed across the parasite genome. After filtering for quality and missingness, 302 samples and 1410 SNPs were retained and used for downstream population genomic analyses.<br />Results: The analyses revealed most (67%, n = 202) infections harboured one clone (monogenomic) with some variation at local level suggesting low, but heterogenous malaria transmission. Relatedness identity-by-descent (IBD) analysis revealed variable distribution of IBD segments across the genome and 6% of pairs were highly-related (IBD ≥ 0.25). Some of the highly-related parasite populations persisted across multiple seasons, suggesting that persistence of malaria in this low-transmission region is fueled by parasites "seeding" across the dry season. For recent years, clusters of clonal parasites were identified that were dissimilar to the general parasite population, suggesting parasite populations were increasingly fragmented at small spatial scales due to intensified control efforts. Clustering analysis using PCA and t-SNE showed a lack of substantial parasite population structure.<br />Conclusion: Leveraging both genomic and epidemiological data provided comprehensive picture of fluctuations in parasite populations in this pre-elimination setting of southern Zambia over 7 years.<br /> (© 2023. This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply.)

Details

Language :
English
ISSN :
1475-2875
Volume :
22
Issue :
1
Database :
MEDLINE
Journal :
Malaria journal
Publication Type :
Academic Journal
Accession number :
37420265
Full Text :
https://doi.org/10.1186/s12936-023-04637-9