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Population Structure Shapes Copy Number Variation in Malaria Parasites

If copy number variants (CNVs) are predominantly deleterious, we would expect them to be more efficiently purged from populations with a large effective population size (N(e)) than from populations with a small N(e). Malaria parasites (Plasmodium falciparum) provide an excellent organism to examine...

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Autores principales: Cheeseman, Ian H., Miller, Becky, Tan, John C., Tan, Asako, Nair, Shalini, Nkhoma, Standwell C., De Donato, Marcos, Rodulfo, Hectorina, Dondorp, Arjen, Branch, Oralee H., Mesia, Lastenia Ruiz, Newton, Paul, Mayxay, Mayfong, Amambua-Ngwa, Alfred, Conway, David J., Nosten, François, Ferdig, Michael T., Anderson, Tim J. C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4760083/
https://www.ncbi.nlm.nih.gov/pubmed/26613787
http://dx.doi.org/10.1093/molbev/msv282
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author Cheeseman, Ian H.
Miller, Becky
Tan, John C.
Tan, Asako
Nair, Shalini
Nkhoma, Standwell C.
De Donato, Marcos
Rodulfo, Hectorina
Dondorp, Arjen
Branch, Oralee H.
Mesia, Lastenia Ruiz
Newton, Paul
Mayxay, Mayfong
Amambua-Ngwa, Alfred
Conway, David J.
Nosten, François
Ferdig, Michael T.
Anderson, Tim J. C.
author_facet Cheeseman, Ian H.
Miller, Becky
Tan, John C.
Tan, Asako
Nair, Shalini
Nkhoma, Standwell C.
De Donato, Marcos
Rodulfo, Hectorina
Dondorp, Arjen
Branch, Oralee H.
Mesia, Lastenia Ruiz
Newton, Paul
Mayxay, Mayfong
Amambua-Ngwa, Alfred
Conway, David J.
Nosten, François
Ferdig, Michael T.
Anderson, Tim J. C.
author_sort Cheeseman, Ian H.
collection PubMed
description If copy number variants (CNVs) are predominantly deleterious, we would expect them to be more efficiently purged from populations with a large effective population size (N(e)) than from populations with a small N(e). Malaria parasites (Plasmodium falciparum) provide an excellent organism to examine this prediction, because this protozoan shows a broad spectrum of population structures within a single species, with large, stable, outbred populations in Africa, small unstable inbred populations in South America and with intermediate population characteristics in South East Asia. We characterized 122 single-clone parasites, without prior laboratory culture, from malaria-infected patients in seven countries in Africa, South East Asia and South America using a high-density single-nucleotide polymorphism/CNV microarray. We scored 134 high-confidence CNVs across the parasite exome, including 33 deletions and 102 amplifications, which ranged in size from <500 bp to 59 kb, as well as 10,107 flanking, biallelic single-nucleotide polymorphisms. Overall, CNVs were rare, small, and skewed toward low frequency variants, consistent with the deleterious model. Relative to African and South East Asian populations, CNVs were significantly more common in South America, showed significantly less skew in allele frequencies, and were significantly larger. On this background of low frequency CNV, we also identified several high-frequency CNVs under putative positive selection using an F(ST) outlier analysis. These included known adaptive CNVs containing rh2b and pfmdr1, and several other CNVs (e.g., DNA helicase and three conserved proteins) that require further investigation. Our data are consistent with a significant impact of genetic structure on CNV burden in an important human pathogen.
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spelling pubmed-47600832016-02-22 Population Structure Shapes Copy Number Variation in Malaria Parasites Cheeseman, Ian H. Miller, Becky Tan, John C. Tan, Asako Nair, Shalini Nkhoma, Standwell C. De Donato, Marcos Rodulfo, Hectorina Dondorp, Arjen Branch, Oralee H. Mesia, Lastenia Ruiz Newton, Paul Mayxay, Mayfong Amambua-Ngwa, Alfred Conway, David J. Nosten, François Ferdig, Michael T. Anderson, Tim J. C. Mol Biol Evol Fast Track If copy number variants (CNVs) are predominantly deleterious, we would expect them to be more efficiently purged from populations with a large effective population size (N(e)) than from populations with a small N(e). Malaria parasites (Plasmodium falciparum) provide an excellent organism to examine this prediction, because this protozoan shows a broad spectrum of population structures within a single species, with large, stable, outbred populations in Africa, small unstable inbred populations in South America and with intermediate population characteristics in South East Asia. We characterized 122 single-clone parasites, without prior laboratory culture, from malaria-infected patients in seven countries in Africa, South East Asia and South America using a high-density single-nucleotide polymorphism/CNV microarray. We scored 134 high-confidence CNVs across the parasite exome, including 33 deletions and 102 amplifications, which ranged in size from <500 bp to 59 kb, as well as 10,107 flanking, biallelic single-nucleotide polymorphisms. Overall, CNVs were rare, small, and skewed toward low frequency variants, consistent with the deleterious model. Relative to African and South East Asian populations, CNVs were significantly more common in South America, showed significantly less skew in allele frequencies, and were significantly larger. On this background of low frequency CNV, we also identified several high-frequency CNVs under putative positive selection using an F(ST) outlier analysis. These included known adaptive CNVs containing rh2b and pfmdr1, and several other CNVs (e.g., DNA helicase and three conserved proteins) that require further investigation. Our data are consistent with a significant impact of genetic structure on CNV burden in an important human pathogen. Oxford University Press 2016-03 2015-11-26 /pmc/articles/PMC4760083/ /pubmed/26613787 http://dx.doi.org/10.1093/molbev/msv282 Text en © The Author 2015. Published by Oxford University Press on behalf of the Society for Molecular Biology and Evolution. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Fast Track
Cheeseman, Ian H.
Miller, Becky
Tan, John C.
Tan, Asako
Nair, Shalini
Nkhoma, Standwell C.
De Donato, Marcos
Rodulfo, Hectorina
Dondorp, Arjen
Branch, Oralee H.
Mesia, Lastenia Ruiz
Newton, Paul
Mayxay, Mayfong
Amambua-Ngwa, Alfred
Conway, David J.
Nosten, François
Ferdig, Michael T.
Anderson, Tim J. C.
Population Structure Shapes Copy Number Variation in Malaria Parasites
title Population Structure Shapes Copy Number Variation in Malaria Parasites
title_full Population Structure Shapes Copy Number Variation in Malaria Parasites
title_fullStr Population Structure Shapes Copy Number Variation in Malaria Parasites
title_full_unstemmed Population Structure Shapes Copy Number Variation in Malaria Parasites
title_short Population Structure Shapes Copy Number Variation in Malaria Parasites
title_sort population structure shapes copy number variation in malaria parasites
topic Fast Track
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4760083/
https://www.ncbi.nlm.nih.gov/pubmed/26613787
http://dx.doi.org/10.1093/molbev/msv282
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