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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
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 sea...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10327325/ https://www.ncbi.nlm.nih.gov/pubmed/37420265 http://dx.doi.org/10.1186/s12936-023-04637-9 |
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author | 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. |
author_facet | 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. |
author_sort | Fola, Abebe A. |
collection | PubMed |
description | 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12936-023-04637-9. |
format | Online Article Text |
id | pubmed-10327325 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-103273252023-07-08 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. Malar J Research 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12936-023-04637-9. BioMed Central 2023-07-07 /pmc/articles/PMC10327325/ /pubmed/37420265 http://dx.doi.org/10.1186/s12936-023-04637-9 Text en © This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://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 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. Temporal and spatial analysis of Plasmodium falciparum genomics reveals patterns of parasite connectivity in a low-transmission district in Southern Province, Zambia |
title | Temporal and spatial analysis of Plasmodium falciparum genomics reveals patterns of parasite connectivity in a low-transmission district in Southern Province, Zambia |
title_full | Temporal and spatial analysis of Plasmodium falciparum genomics reveals patterns of parasite connectivity in a low-transmission district in Southern Province, Zambia |
title_fullStr | Temporal and spatial analysis of Plasmodium falciparum genomics reveals patterns of parasite connectivity in a low-transmission district in Southern Province, Zambia |
title_full_unstemmed | Temporal and spatial analysis of Plasmodium falciparum genomics reveals patterns of parasite connectivity in a low-transmission district in Southern Province, Zambia |
title_short | Temporal and spatial analysis of Plasmodium falciparum genomics reveals patterns of parasite connectivity in a low-transmission district in Southern Province, Zambia |
title_sort | temporal and spatial analysis of plasmodium falciparum genomics reveals patterns of parasite connectivity in a low-transmission district in southern province, zambia |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10327325/ https://www.ncbi.nlm.nih.gov/pubmed/37420265 http://dx.doi.org/10.1186/s12936-023-04637-9 |
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