id pubmed-4966634
recordtype oai_dc
spelling pubmed-49666342016-12-27 Genomic analysis of local variation and recent evolution in Plasmodium vivax Pearson, Richard D Amato, Roberto Auburn, Sarah Miotto, Olivo Almagro-Garcia, Jacob Amaratunga, Chanaki Suon, Seila Mao, Sivanna Noviyanti, Rintis Trimarsanto, Hidayat Marfurt, Jutta Anstey, Nicholas M William, Timothy Boni, Maciej F Dolecek, Christiane Hien, Tinh Tran White, Nicholas J Michon, Pascal Siba, Peter Tavul, Livingstone Harrison, Gabrielle Barry, Alyssa Mueller, Ivo Ferreira, Marcelo U Karunaweera, Nadira Randrianarivelojosia, Milijaona Gao, Qi Hubbart, Christina Hart, Lee Jeffery, Ben Drury, Eleanor Mead, Daniel Kekre, Mihir Campino, Susana Manske, Magnus Cornelius, Victoria J MacInnis, Bronwyn Rockett, Kirk A Miles, Alistair Rayner, Julian C Fairhurst, Rick M Nosten, Francois Price, Ric N Kwiatkowski, Dominic P Article The widespread distribution and relapsing nature of Plasmodium vivax infection present major challenges for malaria elimination. To characterise the genetic diversity of this parasite within individual infections and across the population, we performed deep genome sequencing of >200 clinical samples collected across the Asia-Pacific region, and analysed data on >300,000 SNPs and 9 regions of the genome with large copy number variations. Individual infections showed complex patterns of genetic structure, with variation not only in the number of dominant clones but also in their level of relatedness and inbreeding. At the population level, we observed strong signals of recent evolutionary selection both in known drug resistance genes and at novel loci, and these varied markedly between geographical locations. These findings reveal a dynamic landscape of local evolutionary adaptation in P. vivax populations, and provide a foundation for genomic surveillance to guide effective strategies for control and elimination. 2016-06-27 2016-08 /pmc/articles/PMC4966634/ /pubmed/27348299 http://dx.doi.org/10.1038/ng.3599 Text en Users may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use:http://www.nature.com/authors/editorial_policies/license.html#terms
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 Pearson, Richard D
Amato, Roberto
Auburn, Sarah
Miotto, Olivo
Almagro-Garcia, Jacob
Amaratunga, Chanaki
Suon, Seila
Mao, Sivanna
Noviyanti, Rintis
Trimarsanto, Hidayat
Marfurt, Jutta
Anstey, Nicholas M
William, Timothy
Boni, Maciej F
Dolecek, Christiane
Hien, Tinh Tran
White, Nicholas J
Michon, Pascal
Siba, Peter
Tavul, Livingstone
Harrison, Gabrielle
Barry, Alyssa
Mueller, Ivo
Ferreira, Marcelo U
Karunaweera, Nadira
Randrianarivelojosia, Milijaona
Gao, Qi
Hubbart, Christina
Hart, Lee
Jeffery, Ben
Drury, Eleanor
Mead, Daniel
Kekre, Mihir
Campino, Susana
Manske, Magnus
Cornelius, Victoria J
MacInnis, Bronwyn
Rockett, Kirk A
Miles, Alistair
Rayner, Julian C
Fairhurst, Rick M
Nosten, Francois
Price, Ric N
Kwiatkowski, Dominic P
spellingShingle Pearson, Richard D
Amato, Roberto
Auburn, Sarah
Miotto, Olivo
Almagro-Garcia, Jacob
Amaratunga, Chanaki
Suon, Seila
Mao, Sivanna
Noviyanti, Rintis
Trimarsanto, Hidayat
Marfurt, Jutta
Anstey, Nicholas M
William, Timothy
Boni, Maciej F
Dolecek, Christiane
Hien, Tinh Tran
White, Nicholas J
Michon, Pascal
Siba, Peter
Tavul, Livingstone
Harrison, Gabrielle
Barry, Alyssa
Mueller, Ivo
Ferreira, Marcelo U
Karunaweera, Nadira
Randrianarivelojosia, Milijaona
Gao, Qi
Hubbart, Christina
Hart, Lee
Jeffery, Ben
Drury, Eleanor
Mead, Daniel
Kekre, Mihir
Campino, Susana
Manske, Magnus
Cornelius, Victoria J
MacInnis, Bronwyn
Rockett, Kirk A
Miles, Alistair
Rayner, Julian C
Fairhurst, Rick M
Nosten, Francois
Price, Ric N
Kwiatkowski, Dominic P
Genomic analysis of local variation and recent evolution in Plasmodium vivax
author_facet Pearson, Richard D
Amato, Roberto
Auburn, Sarah
Miotto, Olivo
Almagro-Garcia, Jacob
Amaratunga, Chanaki
Suon, Seila
Mao, Sivanna
Noviyanti, Rintis
Trimarsanto, Hidayat
Marfurt, Jutta
Anstey, Nicholas M
William, Timothy
Boni, Maciej F
Dolecek, Christiane
Hien, Tinh Tran
White, Nicholas J
Michon, Pascal
Siba, Peter
Tavul, Livingstone
Harrison, Gabrielle
Barry, Alyssa
Mueller, Ivo
Ferreira, Marcelo U
Karunaweera, Nadira
Randrianarivelojosia, Milijaona
Gao, Qi
Hubbart, Christina
Hart, Lee
Jeffery, Ben
Drury, Eleanor
Mead, Daniel
Kekre, Mihir
Campino, Susana
Manske, Magnus
Cornelius, Victoria J
MacInnis, Bronwyn
Rockett, Kirk A
Miles, Alistair
Rayner, Julian C
Fairhurst, Rick M
Nosten, Francois
Price, Ric N
Kwiatkowski, Dominic P
author_sort Pearson, Richard D
title Genomic analysis of local variation and recent evolution in Plasmodium vivax
title_short Genomic analysis of local variation and recent evolution in Plasmodium vivax
title_full Genomic analysis of local variation and recent evolution in Plasmodium vivax
title_fullStr Genomic analysis of local variation and recent evolution in Plasmodium vivax
title_full_unstemmed Genomic analysis of local variation and recent evolution in Plasmodium vivax
title_sort genomic analysis of local variation and recent evolution in plasmodium vivax
description The widespread distribution and relapsing nature of Plasmodium vivax infection present major challenges for malaria elimination. To characterise the genetic diversity of this parasite within individual infections and across the population, we performed deep genome sequencing of >200 clinical samples collected across the Asia-Pacific region, and analysed data on >300,000 SNPs and 9 regions of the genome with large copy number variations. Individual infections showed complex patterns of genetic structure, with variation not only in the number of dominant clones but also in their level of relatedness and inbreeding. At the population level, we observed strong signals of recent evolutionary selection both in known drug resistance genes and at novel loci, and these varied markedly between geographical locations. These findings reveal a dynamic landscape of local evolutionary adaptation in P. vivax populations, and provide a foundation for genomic surveillance to guide effective strategies for control and elimination.
publishDate 2016
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4966634/
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