Extensive genetic diversity in plasmodium vivax from Sudan and its genetic relationships with other geographical isolates.

Genetic diversity Haplotype Malaria Microsatellite Plasmodium vivax Sudan

Journal

Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases
ISSN: 1567-7257
Titre abrégé: Infect Genet Evol
Pays: Netherlands
ID NLM: 101084138

Informations de publication

Date de publication:
23 Jul 2024
Historique:
received: 12 03 2024
revised: 03 07 2024
accepted: 13 07 2024
medline: 26 7 2024
pubmed: 26 7 2024
entrez: 25 7 2024
Statut: aheadofprint

Résumé

Plasmodium vivax, traditionally overlooked has experienced a notable increase in cases in East Africa. This study investigated the geographical origin and genetic diversity of P. vivax in Sudan using 14 microsatellite markers. A total of 113 clinical P. vivax samples were collected from two different ecogeographical zones, New Halfa and Khartoum, in Sudan. Additionally, 841 geographical samples from the database were incorporated for a global genetic analysis to discern genetic relationships among P. vivax isolates on regional and worldwide scales. On the regional scale, our findings revealed 91 unique and 8 shared haplotypes among the Sudan samples, showcasing a remarkable genetic diversity compared to other geographical isolates and supporting the hypothesis that P. vivax originated from Africa. On a global scale, distinct genetic clustering of P. vivax isolates from Africa, South America, and Asia (including Papua New Guinea and Solomon Island) was observed, with limited admixture among the three clusters. Principal component analysis emphasized the substantial contribution of African isolates to the observed global genetic variation. The Sudanese populations displayed extensive genetic diversity, marked by significant multi-locus linkage disequilibrium, suggesting an ancestral source of P. vivax variation globally and frequent recombination among the isolates. Notably, the East African P. vivax exhibited similarity with some Asian isolates, indicating potential recent introductions. Overall, our results underscore the effectiveness of utilizing microsatellite markers for implementing robust control measures, given their ability to capture extensive genetic diversity and linkage disequilibrium patterns.

Identifiants

pubmed: 39053565
pii: S1567-1348(24)00094-7
doi: 10.1016/j.meegid.2024.105643
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

105643

Informations de copyright

Copyright © 2024. Published by Elsevier B.V.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare no conflict of interest.

Auteurs

Musab M Ali Albsheer (MM)

Department of Parasitology and Medical Entomology, Institute of Endemic Diseases, University of Khartoum, Khartoum, Sudan; Faculty of Medical Laboratory Sciences, Sinnar University, Sudan.

Alfred Hubbard (A)

Department of Bioinformatics and Genomics, University of North Carolina, Charlotte, NC 28223, USA.

Cheikh Cambel Dieng (CC)

Department of Microbiology and Immunology, Drexel University, Philadelphia, PA 19129, USA.

Eyoab Iyasu Gebremeskel (EI)

Department of Biology, Mai Nefhi College of Science, Mai-Nefhi, Eritrea.

Safaa Ahmed (S)

Department of Parasitology and Medical Entomology, Institute of Endemic Diseases, University of Khartoum, Khartoum, Sudan.

Virginie Rougeron (V)

Laboratoire MIVEGEC (Université de Montpellier-CNRS-IRD), CREES, 34394 Montpellier, France.

Muntaser E Ibrahim (ME)

Department of Parasitology and Medical Entomology, Institute of Endemic Diseases, University of Khartoum, Khartoum, Sudan.

Eugenia Lo (E)

Department of Microbiology and Immunology, Drexel University, Philadelphia, PA 19129, USA. Electronic address: el855@drexel.edu.

Muzamil M Abdel Hamid (MM)

Department of Parasitology and Medical Entomology, Institute of Endemic Diseases, University of Khartoum, Khartoum, Sudan; Department of Microbiology, College of Veterinary Medicine, King Faisal University, 31982 Al-Ahsa, Saudi Arabia. Electronic address: mahdi@iend.org.

Classifications MeSH