Applying next-generation sequencing to track falciparum malaria in sub-Saharan Africa
Abstract Next-generation sequencing (NGS) technologies are increasingly being used to address a diverse range of biological and epidemiological questions. The current understanding of malaria transmission dynamics and parasite movement mainly relies on the analyses of epidemiologic data, e.g. case c...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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BMC
2019-09-01
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| Series: | Malaria Journal |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1186/s12936-019-2880-1 |
| _version_ | 1818212106023993344 |
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| author | Sofonias K. Tessema Jaishree Raman Craig W. Duffy Deus S. Ishengoma Alfred Amambua-Ngwa Bryan Greenhouse |
| author_facet | Sofonias K. Tessema Jaishree Raman Craig W. Duffy Deus S. Ishengoma Alfred Amambua-Ngwa Bryan Greenhouse |
| author_sort | Sofonias K. Tessema |
| collection | DOAJ |
| description | Abstract Next-generation sequencing (NGS) technologies are increasingly being used to address a diverse range of biological and epidemiological questions. The current understanding of malaria transmission dynamics and parasite movement mainly relies on the analyses of epidemiologic data, e.g. case counts and self-reported travel history data. However, travel history data are often not routinely collected or are incomplete, lacking the necessary level of accuracy. Although genetic data from routinely collected field samples provides an unprecedented opportunity to track the spread of malaria parasites, it remains an underutilized resource for surveillance due to lack of local awareness and capacity, limited access to sensitive laboratory methods and associated computational tools and difficulty in interpreting genetic epidemiology data. In this review, the potential roles of NGS in better understanding of transmission patterns, accurately tracking parasite movement and addressing the emerging challenges of imported malaria in low transmission settings of sub-Saharan Africa are discussed. Furthermore, this review highlights the insights gained from malaria genomic research and challenges associated with integrating malaria genomics into existing surveillance tools to inform control and elimination strategies. |
| first_indexed | 2024-12-12T05:43:07Z |
| format | Article |
| id | doaj.art-f04c537edf9d4049b26dbc8c18325819 |
| institution | Directory Open Access Journal |
| issn | 1475-2875 |
| language | English |
| last_indexed | 2024-12-12T05:43:07Z |
| publishDate | 2019-09-01 |
| publisher | BMC |
| record_format | Article |
| series | Malaria Journal |
| spelling | doaj.art-f04c537edf9d4049b26dbc8c183258192022-12-22T00:35:52ZengBMCMalaria Journal1475-28752019-09-011811910.1186/s12936-019-2880-1Applying next-generation sequencing to track falciparum malaria in sub-Saharan AfricaSofonias K. Tessema0Jaishree Raman1Craig W. Duffy2Deus S. Ishengoma3Alfred Amambua-Ngwa4Bryan Greenhouse5EPPIcenter Program, Division of HIV, Infectious Diseases, and Global Medicine, Department of Medicine, University of California San FranciscoCentre for Emerging Zoonotic and Parasitic Diseases, National Institute for Communicable DiseaseDepartment of Infection Biology, University of LiverpoolNational Institute for Medical Research, Tanga Research CentreMRC Gambia Unit, The Gambia at LSHTMEPPIcenter Program, Division of HIV, Infectious Diseases, and Global Medicine, Department of Medicine, University of California San FranciscoAbstract Next-generation sequencing (NGS) technologies are increasingly being used to address a diverse range of biological and epidemiological questions. The current understanding of malaria transmission dynamics and parasite movement mainly relies on the analyses of epidemiologic data, e.g. case counts and self-reported travel history data. However, travel history data are often not routinely collected or are incomplete, lacking the necessary level of accuracy. Although genetic data from routinely collected field samples provides an unprecedented opportunity to track the spread of malaria parasites, it remains an underutilized resource for surveillance due to lack of local awareness and capacity, limited access to sensitive laboratory methods and associated computational tools and difficulty in interpreting genetic epidemiology data. In this review, the potential roles of NGS in better understanding of transmission patterns, accurately tracking parasite movement and addressing the emerging challenges of imported malaria in low transmission settings of sub-Saharan Africa are discussed. Furthermore, this review highlights the insights gained from malaria genomic research and challenges associated with integrating malaria genomics into existing surveillance tools to inform control and elimination strategies.http://link.springer.com/article/10.1186/s12936-019-2880-1Next-generation sequencingMalaria genomicsMolecular epidemiologyTracking parasites |
| spellingShingle | Sofonias K. Tessema Jaishree Raman Craig W. Duffy Deus S. Ishengoma Alfred Amambua-Ngwa Bryan Greenhouse Applying next-generation sequencing to track falciparum malaria in sub-Saharan Africa Malaria Journal Next-generation sequencing Malaria genomics Molecular epidemiology Tracking parasites |
| title | Applying next-generation sequencing to track falciparum malaria in sub-Saharan Africa |
| title_full | Applying next-generation sequencing to track falciparum malaria in sub-Saharan Africa |
| title_fullStr | Applying next-generation sequencing to track falciparum malaria in sub-Saharan Africa |
| title_full_unstemmed | Applying next-generation sequencing to track falciparum malaria in sub-Saharan Africa |
| title_short | Applying next-generation sequencing to track falciparum malaria in sub-Saharan Africa |
| title_sort | applying next generation sequencing to track falciparum malaria in sub saharan africa |
| topic | Next-generation sequencing Malaria genomics Molecular epidemiology Tracking parasites |
| url | http://link.springer.com/article/10.1186/s12936-019-2880-1 |
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