» Articles » PMID: 29315306

Modeling the Genetic Relatedness of Plasmodium Falciparum Parasites Following Meiotic Recombination and Cotransmission

Overview
Specialty Biology
Date 2018 Jan 10
PMID 29315306
Citations 25
Authors
Affiliations
Soon will be listed here.
Abstract

Unlike in most pathogens, multiple-strain (polygenomic) infections of P. falciparum are frequently composed of genetic siblings. These genetic siblings are the result of sexual reproduction and can coinfect the same host when cotransmitted by the same mosquito. The degree with which coinfecting strains are related varies among infections and populations. Because sexual recombination occurs within the mosquito, the relatedness of cotransmitted strains could depend on transmission dynamics, but little is actually known of the factors that influence the relatedness of cotransmitted strains. Part of the uncertainty stems from an incomplete understanding of how within-host and within-vector dynamics affect cotransmission. Cotransmission is difficult to examine experimentally but can be explored using a computational model. We developed a malaria transmission model that simulates sexual reproduction in order to understand what determines the relatedness of cotransmitted strains. This study highlights how the relatedness of cotransmitted strains depends on both within-host and within-vector dynamics including the complexity of infection. We also used our transmission model to analyze the genetic relatedness of polygenomic infections following a series of multiple transmission events and examined the effects of superinfection. Understanding the factors that influence the relatedness of cotransmitted strains could lead to a better understanding of the population-genetic correlates of transmission and therefore be important for public health.

Citing Articles

MalKinID: A classification model for identifying malaria parasite genealogical relationships using identity-by-descent.

Wong W, Wang L, Schaffner S, Schaffner S, Li X, Cheeseman I Genetics. 2024; 229(2).

PMID: 39579070 PMC: 11796457. DOI: 10.1093/genetics/iyae197.


MOIRE: a software package for the estimation of allele frequencies and effective multiplicity of infection from polyallelic data.

Murphy M, Greenhouse B Bioinformatics. 2024; 40(10).

PMID: 39423091 PMC: 11524891. DOI: 10.1093/bioinformatics/btae619.


MalKinID: A Likelihood-Based Model for Identifying Malaria Parasite Genealogical Relationships Using Identity-by-Descent.

Wong W, Wang L, Schaffner S, Li X, Cheeseman I, Anderson T bioRxiv. 2024; .

PMID: 39071294 PMC: 11275886. DOI: 10.1101/2024.07.12.603328.


A maximum-likelihood method to estimate haplotype frequencies and prevalence alongside multiplicity of infection from SNP data.

Tsoungui Obama H, Schneider K Front Epidemiol. 2024; 2:943625.

PMID: 38455338 PMC: 10911023. DOI: 10.3389/fepid.2022.943625.


The many definitions of multiplicity of infection.

Schneider K, Tsoungui Obama H, Kamanga G, Kayanula L, Adil Mahmoud Yousif N Front Epidemiol. 2024; 2:961593.

PMID: 38455332 PMC: 10910904. DOI: 10.3389/fepid.2022.961593.


References
1.
Conway D, Roper C, Oduola A, Arnot D, Kremsner P, Grobusch M . High recombination rate in natural populations of Plasmodium falciparum. Proc Natl Acad Sci U S A. 1999; 96(8):4506-11. PMC: 16362. DOI: 10.1073/pnas.96.8.4506. View

2.
Arnot D . Unstable malaria in Sudan: the influence of the dry season. Clone multiplicity of Plasmodium falciparum infections in individuals exposed to variable levels of disease transmission. Trans R Soc Trop Med Hyg. 1999; 92(6):580-5. DOI: 10.1016/s0035-9203(98)90773-8. View

3.
Su X, Ferdig M, Huang Y, Huynh C, Liu A, You J . A genetic map and recombination parameters of the human malaria parasite Plasmodium falciparum. Science. 1999; 286(5443):1351-3. DOI: 10.1126/science.286.5443.1351. View

4.
Broman K, Weber J . Characterization of human crossover interference. Am J Hum Genet. 2000; 66(6):1911-26. PMC: 1378063. DOI: 10.1086/302923. View

5.
Anderson T, Haubold B, Williams J, Estrada-Franco J, Richardson L, MOLLINEDO R . Microsatellite markers reveal a spectrum of population structures in the malaria parasite Plasmodium falciparum. Mol Biol Evol. 2000; 17(10):1467-82. DOI: 10.1093/oxfordjournals.molbev.a026247. View