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

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 para...

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Main Authors: Amambua-Ngwa, Alfred, Tetteh, Kevin K. A., Manske, Magnus, Gomez-Escobar, Natalia, Stewart, Lindsay B., Deerhake, M. Elizabeth, Cheeseman, Ian H., Newbold, Christopher I., Holder, Anthony A., Knuepfer, Ellen, Janha, Omar, Jallow, Muminatou, Campino, Susana, MacInnis, Bronwyn, Kwiatkowski, Dominic P., Conway, David J.
Format: Online
Language:English
Published: Public Library of Science 2012
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3486833/
id pubmed-3486833
recordtype oai_dc
spelling pubmed-34868332012-11-06 Population Genomic Scan for Candidate Signatures of Balancing Selection to Guide Antigen Characterization in Malaria Parasites Amambua-Ngwa, Alfred Tetteh, Kevin K. A. Manske, Magnus Gomez-Escobar, Natalia Stewart, Lindsay B. Deerhake, M. Elizabeth Cheeseman, Ian H. Newbold, Christopher I. Holder, Anthony A. Knuepfer, Ellen Janha, Omar Jallow, Muminatou Campino, Susana MacInnis, Bronwyn Kwiatkowski, Dominic P. Conway, David J. Research Article 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 map reliably, including the hypervariable var, rifin, and stevor families, but 5,056 genes (90.9% of all in the genome) had >70% sequence coverage with minimum read depth of 5 for at least 50 isolates, of which 2,853 genes contained 3 or more single nucleotide polymorphisms (SNPs) for analysis of polymorphic site frequency spectra. Against an overall background of negatively skewed frequencies, as expected from historical population expansion combined with purifying selection, the outlying minority of genes with signatures indicating exceptionally intermediate frequencies were identified. Comparing genes with different stage-specificity, such signatures were most common in those with peak expression at the merozoite stage that invades erythrocytes. Members of clag, PfMC-2TM, surfin, and msp3-like gene families were highly represented, the strongest signature being in the msp3-like gene PF10_0355. Analysis of msp3-like transcripts in 45 clinical and 11 laboratory adapted isolates grown to merozoite-containing schizont stages revealed surprisingly low expression of PF10_0355. In diverse clonal parasite lines the protein product was expressed in a minority of mature schizonts (<1% in most lines and ∼10% in clone HB3), and eight sub-clones of HB3 cultured separately had an intermediate spectrum of positive frequencies (0.9 to 7.5%), indicating phase variable expression of this polymorphic antigen. This and other identified targets of balancing selection are now prioritized for functional study. Public Library of Science 2012-11-01 /pmc/articles/PMC3486833/ /pubmed/23133397 http://dx.doi.org/10.1371/journal.pgen.1002992 Text en © 2012 Amambua-Ngwa et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
repository_type Open Access Journal
institution_category Foreign Institution
institution US National Center for Biotechnology Information
building NCBI PubMed
collection Online Access
language English
format Online
author Amambua-Ngwa, Alfred
Tetteh, Kevin K. A.
Manske, Magnus
Gomez-Escobar, Natalia
Stewart, Lindsay B.
Deerhake, M. Elizabeth
Cheeseman, Ian H.
Newbold, Christopher I.
Holder, Anthony A.
Knuepfer, Ellen
Janha, Omar
Jallow, Muminatou
Campino, Susana
MacInnis, Bronwyn
Kwiatkowski, Dominic P.
Conway, David J.
spellingShingle Amambua-Ngwa, Alfred
Tetteh, Kevin K. A.
Manske, Magnus
Gomez-Escobar, Natalia
Stewart, Lindsay B.
Deerhake, M. Elizabeth
Cheeseman, Ian H.
Newbold, Christopher I.
Holder, Anthony A.
Knuepfer, Ellen
Janha, Omar
Jallow, Muminatou
Campino, Susana
MacInnis, Bronwyn
Kwiatkowski, Dominic P.
Conway, David J.
Population Genomic Scan for Candidate Signatures of Balancing Selection to Guide Antigen Characterization in Malaria Parasites
author_facet Amambua-Ngwa, Alfred
Tetteh, Kevin K. A.
Manske, Magnus
Gomez-Escobar, Natalia
Stewart, Lindsay B.
Deerhake, M. Elizabeth
Cheeseman, Ian H.
Newbold, Christopher I.
Holder, Anthony A.
Knuepfer, Ellen
Janha, Omar
Jallow, Muminatou
Campino, Susana
MacInnis, Bronwyn
Kwiatkowski, Dominic P.
Conway, David J.
author_sort Amambua-Ngwa, Alfred
title Population Genomic Scan for Candidate Signatures of Balancing Selection to Guide Antigen Characterization in Malaria Parasites
title_short Population Genomic Scan for Candidate Signatures of Balancing Selection to Guide Antigen Characterization in Malaria Parasites
title_full Population Genomic Scan for Candidate Signatures of Balancing Selection to Guide Antigen Characterization in Malaria Parasites
title_fullStr Population Genomic Scan for Candidate Signatures of Balancing Selection to Guide Antigen Characterization in Malaria Parasites
title_full_unstemmed Population Genomic Scan for Candidate Signatures of Balancing Selection to Guide Antigen Characterization in Malaria Parasites
title_sort population genomic scan for candidate signatures of balancing selection to guide antigen characterization in malaria parasites
description 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 map reliably, including the hypervariable var, rifin, and stevor families, but 5,056 genes (90.9% of all in the genome) had >70% sequence coverage with minimum read depth of 5 for at least 50 isolates, of which 2,853 genes contained 3 or more single nucleotide polymorphisms (SNPs) for analysis of polymorphic site frequency spectra. Against an overall background of negatively skewed frequencies, as expected from historical population expansion combined with purifying selection, the outlying minority of genes with signatures indicating exceptionally intermediate frequencies were identified. Comparing genes with different stage-specificity, such signatures were most common in those with peak expression at the merozoite stage that invades erythrocytes. Members of clag, PfMC-2TM, surfin, and msp3-like gene families were highly represented, the strongest signature being in the msp3-like gene PF10_0355. Analysis of msp3-like transcripts in 45 clinical and 11 laboratory adapted isolates grown to merozoite-containing schizont stages revealed surprisingly low expression of PF10_0355. In diverse clonal parasite lines the protein product was expressed in a minority of mature schizonts (<1% in most lines and ∼10% in clone HB3), and eight sub-clones of HB3 cultured separately had an intermediate spectrum of positive frequencies (0.9 to 7.5%), indicating phase variable expression of this polymorphic antigen. This and other identified targets of balancing selection are now prioritized for functional study.
publisher Public Library of Science
publishDate 2012
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3486833/
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