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Temporal and spatial analysis of Plasmodium falciparum genomics reveals patterns of parasite connectivity in a low-transmission district in Southern Province, Zambia.
Fola, Abebe A; Moser, Kara A; Aydemir, Ozkan; Hennelly, Chris; Kobayashi, Tamaki; Shields, Timothy; Hamapumbu, Harry; Musonda, Michael; Katowa, Ben; Matoba, Japhet; Stevenson, Jennifer C; Norris, Douglas E; Thuma, Philip E; Wesolowski, Amy; Moss, William J; Bailey, Jeffrey A; Juliano, Jonathan J.
Afiliación
  • Fola AA; Department of Pathology and Laboratory Medicine, Brown University, 55 Claverick Street, Providence, RI, 02906, USA. abebe_fola@brown.edu.
  • Moser KA; University of North Carolina Institute for Global Health and Infectious Diseases, University of North Carolina Chapel Hill, Chapel Hill, NC, 27599, USA.
  • Aydemir O; Department of Pathology and Laboratory Medicine, Brown University, 55 Claverick Street, Providence, RI, 02906, USA.
  • Hennelly C; University of North Carolina Institute for Global Health and Infectious Diseases, University of North Carolina Chapel Hill, Chapel Hill, NC, 27599, USA.
  • Kobayashi T; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, 21205, USA.
  • Shields T; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, 21205, USA.
  • Hamapumbu H; Macha Research Trust, Choma District, Choma, Zambia.
  • Musonda M; Macha Research Trust, Choma District, Choma, Zambia.
  • Katowa B; Macha Research Trust, Choma District, Choma, Zambia.
  • Matoba J; Macha Research Trust, Choma District, Choma, Zambia.
  • Stevenson JC; Macha Research Trust, Choma District, Choma, Zambia.
  • Norris DE; Department of Molecular Microbiology and Immunology, The Johns Hopkins Malaria Research Institute, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, 21205, USA.
  • Thuma PE; Macha Research Trust, Choma District, Choma, Zambia.
  • Wesolowski A; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, 21205, USA.
  • Moss WJ; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, 21205, USA.
  • Bailey JA; Department of Molecular Microbiology and Immunology, The Johns Hopkins Malaria Research Institute, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, 21205, USA.
  • Juliano JJ; Department of Pathology and Laboratory Medicine, Brown University, 55 Claverick Street, Providence, RI, 02906, USA.
Malar J ; 22(1): 208, 2023 Jul 07.
Article en En | MEDLINE | ID: mdl-37420265
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. 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. 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. 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.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Parásitos / Malaria Falciparum / Malaria Tipo de estudio: Prognostic_studies Límite: Animals / Humans País/Región como asunto: Africa Idioma: En Revista: Malar J Asunto de la revista: MEDICINA TROPICAL Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Parásitos / Malaria Falciparum / Malaria Tipo de estudio: Prognostic_studies Límite: Animals / Humans País/Región como asunto: Africa Idioma: En Revista: Malar J Asunto de la revista: MEDICINA TROPICAL Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos