A paradoxical population structure of var DBLα types in Africa.
The var multigene family encodes Plasmodium falciparum erythrocyte membrane protein 1 (PfEMP1), central to host-parasite interactions. Genome structure studies have identified three major groups of var genes by specific upstream sequences (upsA, B, or C). Var with these ups groups have different chr...
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| Format: | Article |
| Language: | English |
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Public Library of Science (PLoS)
2025-02-01
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| Series: | PLoS Pathogens |
| Online Access: | https://doi.org/10.1371/journal.ppat.1012813 |
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| author | Mun Hua Tan Kathryn E Tiedje Qian Feng Qi Zhan Mercedes Pascual Heejung Shim Yao-Ban Chan Karen P Day |
| author_facet | Mun Hua Tan Kathryn E Tiedje Qian Feng Qi Zhan Mercedes Pascual Heejung Shim Yao-Ban Chan Karen P Day |
| author_sort | Mun Hua Tan |
| collection | DOAJ |
| description | The var multigene family encodes Plasmodium falciparum erythrocyte membrane protein 1 (PfEMP1), central to host-parasite interactions. Genome structure studies have identified three major groups of var genes by specific upstream sequences (upsA, B, or C). Var with these ups groups have different chromosomal locations, transcriptional directions, and associations with disease severity. Here we explore temporal and spatial diversity of a region of var genes encoding the DBLα domain of PfEMP1 in Africa. By applying a novel ups classification algorithm (cUps) to publicly-available DBLα sequence datasets, we categorised DBLα according to association with the three ups groups, thereby avoiding the need to sequence complete genes. Data from deep sequencing of DBLα types in a local population in northern Ghana surveyed seven times from 2012 to 2017 found variants with rare-to-moderate-to-extreme frequencies, and the common variants were temporally stable in this local endemic area. Furthermore, we observed that every isolate repertoire, whether mono- or multiclonal, comprised DBLα types occurring with these frequency ranges implying a common genome structure. When comparing African countries of Ghana, Gabon, Malawi, and Uganda, we report that some DBLα types were consistently found at high frequencies in multiple African countries while others were common only at the country level. The implication of these local and pan-Africa population patterns is discussed in terms of advantage to the parasite with regards to within-host adaptation and resilience to malaria control. |
| format | Article |
| id | doaj-art-bcabf7a0a2424fd9be3da43a96bd9f8b |
| institution | Kabale University |
| issn | 1553-7366 1553-7374 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS Pathogens |
| spelling | doaj-art-bcabf7a0a2424fd9be3da43a96bd9f8b2025-02-12T05:30:40ZengPublic Library of Science (PLoS)PLoS Pathogens1553-73661553-73742025-02-01212e101281310.1371/journal.ppat.1012813A paradoxical population structure of var DBLα types in Africa.Mun Hua TanKathryn E TiedjeQian FengQi ZhanMercedes PascualHeejung ShimYao-Ban ChanKaren P DayThe var multigene family encodes Plasmodium falciparum erythrocyte membrane protein 1 (PfEMP1), central to host-parasite interactions. Genome structure studies have identified three major groups of var genes by specific upstream sequences (upsA, B, or C). Var with these ups groups have different chromosomal locations, transcriptional directions, and associations with disease severity. Here we explore temporal and spatial diversity of a region of var genes encoding the DBLα domain of PfEMP1 in Africa. By applying a novel ups classification algorithm (cUps) to publicly-available DBLα sequence datasets, we categorised DBLα according to association with the three ups groups, thereby avoiding the need to sequence complete genes. Data from deep sequencing of DBLα types in a local population in northern Ghana surveyed seven times from 2012 to 2017 found variants with rare-to-moderate-to-extreme frequencies, and the common variants were temporally stable in this local endemic area. Furthermore, we observed that every isolate repertoire, whether mono- or multiclonal, comprised DBLα types occurring with these frequency ranges implying a common genome structure. When comparing African countries of Ghana, Gabon, Malawi, and Uganda, we report that some DBLα types were consistently found at high frequencies in multiple African countries while others were common only at the country level. The implication of these local and pan-Africa population patterns is discussed in terms of advantage to the parasite with regards to within-host adaptation and resilience to malaria control.https://doi.org/10.1371/journal.ppat.1012813 |
| spellingShingle | Mun Hua Tan Kathryn E Tiedje Qian Feng Qi Zhan Mercedes Pascual Heejung Shim Yao-Ban Chan Karen P Day A paradoxical population structure of var DBLα types in Africa. PLoS Pathogens |
| title | A paradoxical population structure of var DBLα types in Africa. |
| title_full | A paradoxical population structure of var DBLα types in Africa. |
| title_fullStr | A paradoxical population structure of var DBLα types in Africa. |
| title_full_unstemmed | A paradoxical population structure of var DBLα types in Africa. |
| title_short | A paradoxical population structure of var DBLα types in Africa. |
| title_sort | paradoxical population structure of var dblα types in africa |
| url | https://doi.org/10.1371/journal.ppat.1012813 |
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