2012
DOI: 10.1371/journal.pgen.1002992
|View full text |Cite
|
Sign up to set email alerts
|

Population Genomic Scan for Candidate Signatures of Balancing Selection to Guide Antigen Characterization in Malaria Parasites

Abstract: Acquired immunity in vertebrates maintains polymorphisms in endemic pathogens, leading to identifiable signatures of balancing selection. To comprehensively survey for genes under such selection in the human malaria parasite Plasmodium falciparum, we generated paired-end short-read sequences of parasites in clinical isolates from an endemic Gambian population, which were mapped to the 3D7 strain reference genome to yield high-quality genome-wide coding sequence data for 65 isolates. A minority of genes did not… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

19
216
2

Year Published

2013
2013
2021
2021

Publication Types

Select...
4
3
2

Relationship

0
9

Authors

Journals

citations
Cited by 156 publications
(241 citation statements)
references
References 82 publications
(112 reference statements)
19
216
2
Order By: Relevance
“…The DBL domains of MSPDBL1 and MSPDBL2 are extremely polymorphic, indicating that they are under high levels of selective pressure presumably from the host immune system (27)(28)(29). This is indicative of the important roles of the DBL domains within MSPDBL1 and -2 and is consistent with the inability to disrupt the function of both within the same parasite.…”
Section: Discussionmentioning
confidence: 66%
See 1 more Smart Citation
“…The DBL domains of MSPDBL1 and MSPDBL2 are extremely polymorphic, indicating that they are under high levels of selective pressure presumably from the host immune system (27)(28)(29). This is indicative of the important roles of the DBL domains within MSPDBL1 and -2 and is consistent with the inability to disrupt the function of both within the same parasite.…”
Section: Discussionmentioning
confidence: 66%
“…This function suggests that they may be involved in the initial interaction of the merozoite with the host erythrocyte, and the ability of antibodies to MSPDBL1 to partially inhibit parasite growth is consistent with this (25). These proteins appear to be functionally important to parasite survival as they have been shown to be under balancing selection with one of the strongest selection signatures for P. falciparum proteins observed for MSPDBL2 (27,28). Importantly, naturally acquired antibodies against the highly polymorphic DBL domain of MSPDBL2 have been shown to be significantly associated with protection from malaria (29).…”
mentioning
confidence: 59%
“…Such work illuminated the recent demographic history of multiple parasite and vector species, defined sometimes complex gene flow boundaries, and revealed the impact of immune, drug, or insecticide selection on the genomes of malaria parasites and vectors. Subsequently, more comprehensive characterizations of genetic diversity have yielded thorough inventories of genomic diversity across many geographic regions (Amambua-Ngwa et al 2012;Manske et al 2012;Miotto et al 2013Miotto et al , 2015 MalariaGEN P. falciparum Community Project 2016), refining our understanding of population boundaries and diversity differences between populations. Collectively, this deep genomic sequencing dataset, for example, represented in the open-access Pf3k collaboration and database (www.malariagen.net/projects/ pf3k), facilitates informed development of markers for genotyping to analyze even larger sample collections.…”
Section: An Abundance Of Genomic Datamentioning
confidence: 99%
“…M alaria, which is caused by the parasite Plasmodium falciparum, is one of the major causes of death worldwide. To aid the development of vaccines and drug treatments for malaria, researchers have studied the P. falciparum genome and identified genes that are essential to malaria parasites as well as genes that are related to drug-resistance phenotypes using population genetic tools (1)(2)(3)(4)(5)(6). Researchers have also focused on particular genes related to drug resistance and characterized the evolutionary pathways of emerging drug resistance using Escherichia coli and Saccharomyces cerevisiae as model systems (7)(8)(9)(10).…”
mentioning
confidence: 99%