Development of a Single Nucleotide Polymorphism Barcode to Genotype Plasmodium vivax Infections
Plasmodium vivax, one of the five species of Plasmodium parasites that cause human malaria, is responsible for 25-40% of malaria cases worldwide. Malaria global elimination efforts will benefit from accurate and effective genotyping tools that will provide insight into the population genetics and di...
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| Published in | PLoS neglected tropical diseases Vol. 9; no. 3; p. e0003539 |
|---|---|
| Main Authors | , , , , , , , , , , , , , , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
United States
Public Library of Science
01.03.2015
Public Library of Science (PLoS) |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1935-2735 1935-2727 1935-2735 |
| DOI | 10.1371/journal.pntd.0003539 |
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| Abstract | Plasmodium vivax, one of the five species of Plasmodium parasites that cause human malaria, is responsible for 25-40% of malaria cases worldwide. Malaria global elimination efforts will benefit from accurate and effective genotyping tools that will provide insight into the population genetics and diversity of this parasite. The recent sequencing of P. vivax isolates from South America, Africa, and Asia presents a new opportunity by uncovering thousands of novel single nucleotide polymorphisms (SNPs). Genotyping a selection of these SNPs provides a robust, low-cost method of identifying parasite infections through their unique genetic signature or barcode. Based on our experience in generating a SNP barcode for P. falciparum using High Resolution Melting (HRM), we have developed a similar tool for P. vivax. We selected globally polymorphic SNPs from available P. vivax genome sequence data that were located in putatively selectively neutral sites (i.e., intergenic, intronic, or 4-fold degenerate coding). From these candidate SNPs we defined a barcode consisting of 42 SNPs. We analyzed the performance of the 42-SNP barcode on 87 P. vivax clinical samples from parasite populations in South America (Brazil, French Guiana), Africa (Ethiopia) and Asia (Sri Lanka). We found that the P. vivax barcode is robust, as it requires only a small quantity of DNA (limit of detection 0.3 ng/μl) to yield reproducible genotype calls, and detects polymorphic genotypes with high sensitivity. The markers are informative across all clinical samples evaluated (average minor allele frequency > 0.1). Population genetic and statistical analyses show the barcode captures high degrees of population diversity and differentiates geographically distinct populations. Our 42-SNP barcode provides a robust, informative, and standardized genetic marker set that accurately identifies a genomic signature for P. vivax infections. |
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| AbstractList | Plasmodium vivax, one of the five species of Plasmodium parasites that cause human malaria, is responsible for 25-40% of malaria cases worldwide. Malaria global elimination efforts will benefit from accurate and effective genotyping tools that will provide insight into the population genetics and diversity of this parasite. The recent sequencing of P. vivax isolates from South America, Africa, and Asia presents a new opportunity by uncovering thousands of novel single nucleotide polymorphisms (SNPs). Genotyping a selection of these SNPs provides a robust, low-cost method of identifying parasite infections through their unique genetic signature or barcode. Based on our experience in generating a SNP barcode for P. falciparum using High Resolution Melting (HRM), we have developed a similar tool for P. vivax. We selected globally polymorphic SNPs from available P. vivax genome sequence data that were located in putatively selectively neutral sites (i.e., intergenic, intronic, or 4-fold degenerate coding). From these candidate SNPs we defined a barcode consisting of 42 SNPs. We analyzed the performance of the 42-SNP barcode on 87 P. vivax clinical samples from parasite populations in South America (Brazil, French Guiana), Africa (Ethiopia) and Asia (Sri Lanka). We found that the P. vivax barcode is robust, as it requires only a small quantity of DNA (limit of detection 0.3 ng/μl) to yield reproducible genotype calls, and detects polymorphic genotypes with high sensitivity. The markers are informative across all clinical samples evaluated (average minor allele frequency > 0.1). Population genetic and statistical analyses show the barcode captures high degrees of population diversity and differentiates geographically distinct populations. Our 42-SNP barcode provides a robust, informative, and standardized genetic marker set that accurately identifies a genomic signature for P. vivax infections. Plasmodium vivax, one of the five species of Plasmodium parasites that cause human malaria, is responsible for 25-40% of malaria cases worldwide. Malaria global elimination efforts will benefit from accurate and effective genotyping tools that will provide insight into the population genetics and diversity of this parasite. The recent sequencing of P. vivax isolates from South America, Africa, and Asia presents a new opportunity by uncovering thousands of novel single nucleotide polymorphisms (SNPs). Genotyping a selection of these SNPs provides a robust, low-cost method of identifying parasite infections through their unique genetic signature or barcode. Based on our experience in generating a SNP barcode for P. falciparum using High Resolution Melting (HRM), we have developed a similar tool for P. vivax. We selected globally polymorphic SNPs from available P. vivax genome sequence data that were located in putatively selectively neutral sites (i.e., intergenic, intronic, or 4-fold degenerate coding). From these candidate SNPs we defined a barcode consisting of 42 SNPs. We analyzed the performance of the 42-SNP barcode on 87 P. vivax clinical samples from parasite populations in South America (Brazil, French Guiana), Africa (Ethiopia) and Asia (Sri Lanka). We found that the P. vivax barcode is robust, as it requires only a small quantity of DNA (limit of detection 0.3 ng/µl) to yield reproducible genotype calls, and detects polymorphic genotypes with high sensitivity. The markers are informative across all clinical samples evaluated (average minor allele frequency > 0.1). Population genetic and statistical analyses show the barcode captures high degrees of population diversity and differentiates geographically distinct populations. Our 42-SNP barcode provides a robust, informative, and standardized genetic marker set that accurately identifies a genomic signature for P. vivax infections. Plasmodium vivax, one of the five species of Plasmodium parasites that cause human malaria, is responsible for 25-40% of malaria cases worldwide. Malaria global elimination efforts will benefit from accurate and effective genotyping tools that will provide insight into the population genetics and diversity of this parasite. The recent sequencing of P. vivax isolates from South America, Africa, and Asia presents a new opportunity by uncovering thousands of novel single nucleotide polymorphisms (SNPs). Genotyping a selection of these SNPs provides a robust, low-cost method of identifying parasite infections through their unique genetic signature or barcode. Based on our experience in generating a SNP barcode for P. falciparum using High Resolution Melting (HRM), we have developed a similar tool for P. vivax. We selected globally polymorphic SNPs from available P. vivax genome sequence data that were located in putatively selectively neutral sites (i.e., intergenic, intronic, or 4-fold degenerate coding). From these candidate SNPs we defined a barcode consisting of 42 SNPs. We analyzed the performance of the 42-SNP barcode on 87 P. vivax clinical samples from parasite populations in South America (Brazil, French Guiana), Africa (Ethiopia) and Asia (Sri Lanka). We found that the P. vivax barcode is robust, as it requires only a small quantity of DNA (limit of detection 0.3 ng/μl) to yield reproducible genotype calls, and detects polymorphic genotypes with high sensitivity. The markers are informative across all clinical samples evaluated (average minor allele frequency > 0.1). Population genetic and statistical analyses show the barcode captures high degrees of population diversity and differentiates geographically distinct populations. Our 42-SNP barcode provides a robust, informative, and standardized genetic marker set that accurately identifies a genomic signature for P. vivax infections. Plasmodium vivax, one of the five species of Plasmodium parasites that cause human malaria, is responsible for 25-40% of malaria cases worldwide. Malaria global elimination efforts will benefit from accurate and effective genotyping tools that will provide insight into the population genetics and diversity of this parasite. The recent sequencing of P. vivax isolates from South America, Africa, and Asia presents a new opportunity by uncovering thousands of novel single nucleotide polymorphisms (SNPs). Genotyping a selection of these SNPs provides a robust, low-cost method of identifying parasite infections through their unique genetic signature or barcode. Based on our experience in generating a SNP barcode for P. falciparum using High Resolution Melting (HRM), we have developed a similar tool for P. vivax. We selected globally polymorphic SNPs from available P. vivax genome sequence data that were located in putatively selectively neutral sites (i.e., intergenic, intronic, or 4-fold degenerate coding). From these candidate SNPs we defined a barcode consisting of 42 SNPs. We analyzed the performance of the 42-SNP barcode on 87 P. vivax clinical samples from parasite populations in South America (Brazil, French Guiana), Africa (Ethiopia) and Asia (Sri Lanka). We found that the P. vivax barcode is robust, as it requires only a small quantity of DNA (limit of detection 0.3 ng/ mu l) to yield reproducible genotype calls, and detects polymorphic genotypes with high sensitivity. The markers are informative across all clinical samples evaluated (average minor allele frequency > 0.1). Population genetic and statistical analyses show the barcode captures high degrees of population diversity and differentiates geographically distinct populations. Our 42-SNP barcode provides a robust, informative, and standardized genetic marker set that accurately identifies a genomic signature for P. vivax infections. Plasmodium vivax malaria is a major global public health problem, with nearly 2.5 billion people at risk for infection and approximately 132-391 million clinical infections annually. It has a wide geographical range, with a high disease burden in Asia, Central and South America, the Middle East, Oceania, and East Africa. Advances in sequencing technology and sample processing have made it possible to characterize the genetic diversity of P. vivax populations. This genetic variation provides a means to identify parasites by unique genetic signatures, or "barcodes." We developed such a genetic barcode for P. vivax, composed of 42 robust and informative variants. Here we report its development and validation based on 87 clinical samples identified by microscopy to contain P. vivax from geographically diverse parasite populations from South America (Brazil, French Guiana), Africa (Ethiopia) and Asia (Sri Lanka). We show that the SNP barcode provides a genotyping tool that can be performed at low cost, providing a means to uniquely identify parasite infections and distinguish geographic origins, and that barcode data may offer new insights into P. vivax population structure and diversity. Plasmodium vivax, one of the five species of Plasmodium parasites that cause human malaria, is responsible for 25-40% of malaria cases worldwide. Malaria global elimination efforts will benefit from accurate and effective genotyping tools that will provide insight into the population genetics and diversity of this parasite. The recent sequencing of P. vivax isolates from South America, Africa, and Asia presents a new opportunity by uncovering thousands of novel single nucleotide polymorphisms (SNPs). Genotyping a selection of these SNPs provides a robust, low-cost method of identifying parasite infections through their unique genetic signature or barcode. Based on our experience in generating a SNP barcode for P. falciparum using High Resolution Melting (HRM), we have developed a similar tool for P. vivax. We selected globally polymorphic SNPs from available P. vivax genome sequence data that were located in putatively selectively neutral sites (i.e., intergenic, intronic, or 4-fold degenerate coding). From these candidate SNPs we defined a barcode consisting of 42 SNPs. We analyzed the performance of the 42-SNP barcode on 87 P. vivax clinical samples from parasite populations in South America (Brazil, French Guiana), Africa (Ethiopia) and Asia (Sri Lanka). We found that the P. vivax barcode is robust, as it requires only a small quantity of DNA (limit of detection 0.3 ng/μl) to yield reproducible genotype calls, and detects polymorphic genotypes with high sensitivity. The markers are informative across all clinical samples evaluated (average minor allele frequency > 0.1). Population genetic and statistical analyses show the barcode captures high degrees of population diversity and differentiates geographically distinct populations. Our 42-SNP barcode provides a robust, informative, and standardized genetic marker set that accurately identifies a genomic signature for P. vivax infections.Plasmodium vivax, one of the five species of Plasmodium parasites that cause human malaria, is responsible for 25-40% of malaria cases worldwide. Malaria global elimination efforts will benefit from accurate and effective genotyping tools that will provide insight into the population genetics and diversity of this parasite. The recent sequencing of P. vivax isolates from South America, Africa, and Asia presents a new opportunity by uncovering thousands of novel single nucleotide polymorphisms (SNPs). Genotyping a selection of these SNPs provides a robust, low-cost method of identifying parasite infections through their unique genetic signature or barcode. Based on our experience in generating a SNP barcode for P. falciparum using High Resolution Melting (HRM), we have developed a similar tool for P. vivax. We selected globally polymorphic SNPs from available P. vivax genome sequence data that were located in putatively selectively neutral sites (i.e., intergenic, intronic, or 4-fold degenerate coding). From these candidate SNPs we defined a barcode consisting of 42 SNPs. We analyzed the performance of the 42-SNP barcode on 87 P. vivax clinical samples from parasite populations in South America (Brazil, French Guiana), Africa (Ethiopia) and Asia (Sri Lanka). We found that the P. vivax barcode is robust, as it requires only a small quantity of DNA (limit of detection 0.3 ng/μl) to yield reproducible genotype calls, and detects polymorphic genotypes with high sensitivity. The markers are informative across all clinical samples evaluated (average minor allele frequency > 0.1). Population genetic and statistical analyses show the barcode captures high degrees of population diversity and differentiates geographically distinct populations. Our 42-SNP barcode provides a robust, informative, and standardized genetic marker set that accurately identifies a genomic signature for P. vivax infections. Plasmodium vivax , one of the five species of Plasmodium parasites that cause human malaria, is responsible for 25–40% of malaria cases worldwide. Malaria global elimination efforts will benefit from accurate and effective genotyping tools that will provide insight into the population genetics and diversity of this parasite. The recent sequencing of P. vivax isolates from South America, Africa, and Asia presents a new opportunity by uncovering thousands of novel single nucleotide polymorphisms (SNPs). Genotyping a selection of these SNPs provides a robust, low-cost method of identifying parasite infections through their unique genetic signature or barcode. Based on our experience in generating a SNP barcode for P. falciparum using High Resolution Melting (HRM), we have developed a similar tool for P. vivax . We selected globally polymorphic SNPs from available P. vivax genome sequence data that were located in putatively selectively neutral sites (i.e., intergenic, intronic, or 4-fold degenerate coding). From these candidate SNPs we defined a barcode consisting of 42 SNPs. We analyzed the performance of the 42-SNP barcode on 87 P. vivax clinical samples from parasite populations in South America (Brazil, French Guiana), Africa (Ethiopia) and Asia (Sri Lanka). We found that the P. vivax barcode is robust, as it requires only a small quantity of DNA (limit of detection 0.3 ng/μl) to yield reproducible genotype calls, and detects polymorphic genotypes with high sensitivity. The markers are informative across all clinical samples evaluated (average minor allele frequency > 0.1). Population genetic and statistical analyses show the barcode captures high degrees of population diversity and differentiates geographically distinct populations. Our 42-SNP barcode provides a robust, informative, and standardized genetic marker set that accurately identifies a genomic signature for P. vivax infections. Plasmodium vivax malaria is a major global public health problem, with nearly 2.5 billion people at risk for infection and approximately 132–391 million clinical infections annually. It has a wide geographical range, with a high disease burden in Asia, Central and South America, the Middle East, Oceania, and East Africa. Advances in sequencing technology and sample processing have made it possible to characterize the genetic diversity of P. vivax populations. This genetic variation provides a means to identify parasites by unique genetic signatures, or “barcodes.” We developed such a genetic barcode for P. vivax , composed of 42 robust and informative variants. Here we report its development and validation based on 87 clinical samples identified by microscopy to contain P. vivax from geographically diverse parasite populations from South America (Brazil, French Guiana), Africa (Ethiopia) and Asia (Sri Lanka). We show that the SNP barcode provides a genotyping tool that can be performed at low cost, providing a means to uniquely identify parasite infections and distinguish geographic origins, and that barcode data may offer new insights into P. vivax population structure and diversity. |
| Audience | Academic |
| Author | Baniecki, Mary Lynn Wellems, Thomas E. Neafsey, Daniel E. Legrand, Eric Volkman, Sarah K. Ferreira, Marcelo U. Zimmerman, Peter A. Sá, Juliana M. Sabeti, Pardis C. Karunaweera, Nadira D. Park, Daniel J. Faust, Aubrey L. Hamilton, Elizabeth Musset, Lise Galinsky, Kevin Wirth, Dyann F. Daniels, Rachel F. Serre, David Melnikov, Alexandre Schaffner, Stephen F. |
| AuthorAffiliation | 4 Department of Parasitology, University of São Paulo, São Paulo, Brazil 10 School of Nursing and Health Sciences, Simmons College, Boston, Massachusetts, United States of America 5 Department of Parasitology, Faculty of Medicine, University of Colombo, Colombo, Sri Lanka 8 Laboratory of Malaria and Vector Research, Malaria Genetics Section, National Institute of Allergy and Infectious Diseases, Rockville, Maryland, United States of America 6 Department of Genomic Medicine Institute, Cleveland Clinic Lerner Research Institute, Cleveland, Ohio, United States of America 3 Department of Immunology and Infectious Diseases, Harvard School of Public Health, Boston, Massachusetts, United States of America 7 Department of International Health, Biology and Genetics, Case Western Reserve University, Cleveland, Ohio, United States of America 2 Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, Massachusetts, United States of America 9 Department of Parasitology, Institute P |
| AuthorAffiliation_xml | – name: 8 Laboratory of Malaria and Vector Research, Malaria Genetics Section, National Institute of Allergy and Infectious Diseases, Rockville, Maryland, United States of America – name: 3 Department of Immunology and Infectious Diseases, Harvard School of Public Health, Boston, Massachusetts, United States of America – name: 5 Department of Parasitology, Faculty of Medicine, University of Colombo, Colombo, Sri Lanka – name: 6 Department of Genomic Medicine Institute, Cleveland Clinic Lerner Research Institute, Cleveland, Ohio, United States of America – name: 7 Department of International Health, Biology and Genetics, Case Western Reserve University, Cleveland, Ohio, United States of America – name: Walter and Eliza Hall Institute, AUSTRALIA – name: 2 Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, Massachusetts, United States of America – name: 4 Department of Parasitology, University of São Paulo, São Paulo, Brazil – name: 1 Broad Institute, Cambridge, Massachusetts, United States of America – name: 9 Department of Parasitology, Institute Pasteur de la Guyane, Cayenne, French Guiana – name: 10 School of Nursing and Health Sciences, Simmons College, Boston, Massachusetts, United States of America |
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| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/25781890$$D View this record in MEDLINE/PubMed https://riip.hal.science/pasteur-01133539$$DView record in HAL |
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| Cites_doi | 10.1186/1475-2875-13-8 10.4269/ajtmh.2010.09-0588 10.1371/journal.pntd.0003071 10.1038/ng.806 10.1007/BF01245622 10.1186/1471-2156-11-65 10.4269/ajtmh.2007.77.79 10.1186/1475-2875-9-134 10.1016/j.pt.2007.09.010 10.1093/molbev/msj116 10.1016/j.gene.2007.11.022 10.4269/ajtmh.2009.09-0337 10.4269/ajtmh.2003.69.377 10.1038/ng.2373 10.1016/j.pt.2013.03.012 10.1038/nature07327 10.1073/pnas.1003776107 10.1016/B978-0-12-397900-1.00001-3 10.1186/1475-2875-12-447 10.1186/1471-2164-11-218 10.2217/14622416.8.6.597 10.1038/ng1930 10.1371/journal.pone.0060780 10.4269/ajtmh.2009.80.729 10.1016/j.ijpara.2007.02.010 10.1086/512685 10.4269/ajtmh.2010.09-0458 10.1371/journal.pntd.0001811 10.1128/AAC.05737-11 10.1146/annurev.genet.36.050802.093940 10.1016/B978-0-12-407826-0.00005-9 10.1373/49.6.853 10.1186/gb-2008-9-12-r171 10.1038/ncomms5052 10.1186/1475-2875-7-223 10.1093/molbev/msn073 10.1186/1471-2164-13-262 10.1373/clinchem.2004.032136 10.1073/pnas.082089499 10.1186/1475-2875-13-59 10.1186/1475-2875-9-151 10.1371/journal.pgen.0020190 |
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| Copyright | COPYRIGHT 2015 Public Library of Science CC0 - Public Domain Dedication 2015 Public Library of Science. 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 credited: Infections. PLoS Negl Trop Dis 9(3): e0003539. doi:10.1371/journal.pntd.0003539 |
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| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 Conceived and designed the experiments: MLB. Performed the experiments: MLB. Analyzed the data: ALF SFS DJP KG DEN SKV DFW PCS. Contributed reagents/materials/analysis tools: RFD EH MUF NDK DS PAZ TEW JMS LM EL AM. Wrote the paper: MLB ALF. The authors have declared that no competing interests exist. |
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| References | SK Volkman (ref37) 2007; 39 MU Ferreira (ref11) 2007; 195 ref33 S Gunawardena (ref32) 2010; 82 P Orjuela-Sanchez (ref31) 2009; 81 JM Carlton (ref16) 2008; 455 DE Neafsey (ref38) 2008; 9 C Delgado-Ratto (ref40) 2014; 13 AM Rezende (ref42) 2009; 80 KE Battle (ref1) 2012; 80 C. Kevin Galinsky V (ref44) 2014 M Imwong (ref43) 2007; 37 M Liew (ref27) 2004; 50 R Daniels (ref23) 2012; 56 P Van den Eede (ref13) 2010; 82 FB Dean (ref39) 2002; 99 R Udomsangpetch (ref4) 2008; 24 AD Ball (ref15) 2010; 11 DE Neafsey (ref20) 2012; 44 PL Sutton (ref14) 2013; 12 ER Chan (ref19) 2012; 6 R Daniels (ref22) 2008; 7 JC Gomez (ref9) 2003; 69 R Daniels (ref25) 2013; 8 MA DePristo (ref29) 2011; 43 CT Wittwer (ref26) 2003; 49 WG Hill (ref34) 1968; 38 DA Joy (ref12) 2008; 25 P Van den Eede (ref41) 2010; 9 LA Goncalves (ref5) 2014; 0 ND Karunaweera (ref7) 2014; 13 LS Gan (ref24) 2010; 9 AT Bright (ref18) 2012; 13 F Noulin (ref3) 2013; 29 BS Weir (ref35) 2002; 36 ND Karunaweera (ref10) 2008; 410 P Orjuela-Sanchez (ref45) 2010; 11 NV Dharia (ref30) 2010; 107 C Naing (ref6) 2014; 8 MD Preston (ref21) 2014; 5 M Imwong (ref8) 2006; 23 RN Price (ref2) 2007; 77 GH Reed (ref28) 2007; 8 JM Carlton (ref17) 2013; 81 N Patterson (ref36) 2006; 2 |
| References_xml | – volume: 13 start-page: 8 year: 2014 ident: ref40 article-title: Population structure and spatio-temporal transmission dynamics of Plasmodium vivax after radical cure treatment in a rural village of the Peruvian Amazon publication-title: Malar J doi: 10.1186/1475-2875-13-8 – volume: 82 start-page: 235 year: 2010 ident: ref32 article-title: Geographic structure of Plasmodium vivax: microsatellite analysis of parasite populations from Sri Lanka, Myanmar, and Ethiopia publication-title: Am J Trop Med Hyg doi: 10.4269/ajtmh.2010.09-0588 – volume: 8 start-page: e3071 year: 2014 ident: ref6 article-title: Is Plasmodium vivax Malaria a Severe Malaria?: A Systematic Review and Meta-Analysis publication-title: PLoS Negl Trop Dis doi: 10.1371/journal.pntd.0003071 – volume: 43 start-page: 491 year: 2011 ident: ref29 article-title: A framework for variation discovery and genotyping using next-generation DNA sequencing data publication-title: Nat Genet doi: 10.1038/ng.806 – volume: 38 start-page: 226 year: 1968 ident: ref34 article-title: Linkage disequilibrium in finite populations publication-title: Theor Appl Genet doi: 10.1007/BF01245622 – volume: 11 start-page: 65 year: 2010 ident: ref45 article-title: Single-nucleotide polymorphism, linkage disequilibrium and geographic structure in the malaria parasite Plasmodium vivax: prospects for genome-wide association studies publication-title: BMC Genet doi: 10.1186/1471-2156-11-65 – volume: 77 start-page: 79 year: 2007 ident: ref2 article-title: Vivax malaria: neglected and not benign publication-title: Am J Trop Med Hyg doi: 10.4269/ajtmh.2007.77.79 – volume: 9 start-page: 134 year: 2010 ident: ref24 article-title: Rapid identification of chloroquine and atovaquone drug resistance in Plasmodium falciparum using high-resolution melt polymerase chain reaction publication-title: Malar J doi: 10.1186/1475-2875-9-134 – volume: 24 start-page: 85 year: 2008 ident: ref4 article-title: Cultivation of Plasmodium vivax publication-title: Trends Parasitol doi: 10.1016/j.pt.2007.09.010 – volume: 23 start-page: 1016 year: 2006 ident: ref8 article-title: Microsatellite variation, repeat array length, and population history of Plasmodium vivax publication-title: Mol Biol Evol doi: 10.1093/molbev/msj116 – volume: 410 start-page: 105 year: 2008 ident: ref10 article-title: Extensive microsatellite diversity in the human malaria parasite Plasmodium vivax publication-title: Gene doi: 10.1016/j.gene.2007.11.022 – volume: 81 start-page: 961 year: 2009 ident: ref31 article-title: Recurrent parasitemias and population dynamics of Plasmodium vivax polymorphisms in rural Amazonia publication-title: Am J Trop Med Hyg doi: 10.4269/ajtmh.2009.09-0337 – volume: 69 start-page: 377 year: 2003 ident: ref9 article-title: Identification of a polymorphic Plasmodium vivax microsatellite marker publication-title: Am J Trop Med Hyg doi: 10.4269/ajtmh.2003.69.377 – volume: 44 start-page: 1046 year: 2012 ident: ref20 article-title: The malaria parasite Plasmodium vivax exhibits greater genetic diversity than Plasmodium falciparum publication-title: Nat Genet doi: 10.1038/ng.2373 – volume: 29 start-page: 286 year: 2013 ident: ref3 article-title: 1912–2012: a century of research on Plasmodium vivax in vitro culture publication-title: Trends Parasitol doi: 10.1016/j.pt.2013.03.012 – volume: 455 start-page: 757 year: 2008 ident: ref16 article-title: Comparative genomics of the neglected human malaria parasite Plasmodium vivax publication-title: Nature doi: 10.1038/nature07327 – volume: 107 start-page: 20045 year: 2010 ident: ref30 article-title: Whole-genome sequencing and microarray analysis of ex vivo Plasmodium vivax reveal selective pressure on putative drug resistance genes publication-title: Proc Natl Acad Sci U S A doi: 10.1073/pnas.1003776107 – volume: 80 start-page: 1 year: 2012 ident: ref1 article-title: The global public health significance of Plasmodium vivax publication-title: Adv Parasitol doi: 10.1016/B978-0-12-397900-1.00001-3 – volume: 12 start-page: 447 year: 2013 ident: ref14 article-title: A call to arms: on refining Plasmodium vivax microsatellite marker panels for comparing global diversity publication-title: Malar J doi: 10.1186/1475-2875-12-447 – volume: 0 year: 2014 ident: ref5 article-title: Emerging Plasmodium vivax resistance to chloroquine in South America: an overview publication-title: Mem Inst Oswaldo Cruz – volume: 11 start-page: 218 year: 2010 ident: ref15 article-title: A comparison of SNPs and microsatellites as linkage mapping markers: lessons from the zebra finch (Taeniopygia guttata) publication-title: BMC Genomics doi: 10.1186/1471-2164-11-218 – volume: 8 start-page: 597 year: 2007 ident: ref28 article-title: High-resolution DNA melting analysis for simple and efficient molecular diagnostics publication-title: Pharmacogenomics doi: 10.2217/14622416.8.6.597 – volume: 39 start-page: 113 year: 2007 ident: ref37 article-title: A genome-wide map of diversity in Plasmodium falciparum publication-title: Nat Genet doi: 10.1038/ng1930 – volume: 8 start-page: e60780 year: 2013 ident: ref25 article-title: Genetic surveillance detects both clonal and epidemic transmission of malaria following enhanced intervention in Senegal publication-title: PLoS One doi: 10.1371/journal.pone.0060780 – volume: 80 start-page: 729 year: 2009 ident: ref42 article-title: Analysis of genetic variability of Plasmodium vivax isolates from different Brazilian Amazon areas using tandem repeats publication-title: Am J Trop Med Hyg doi: 10.4269/ajtmh.2009.80.729 – volume: 37 start-page: 1013 year: 2007 ident: ref43 article-title: Contrasting genetic structure in Plasmodium vivax populations from Asia and South America publication-title: Int J Parasitol doi: 10.1016/j.ijpara.2007.02.010 – volume: 195 start-page: 1218 year: 2007 ident: ref11 article-title: Population structure and transmission dynamics of Plasmodium vivax in rural Amazonia publication-title: J Infect Dis doi: 10.1086/512685 – volume: 82 start-page: 223 year: 2010 ident: ref13 article-title: High complexity of Plasmodium vivax infections in symptomatic patients from a rural community in central Vietnam detected by microsatellite genotyping publication-title: Am J Trop Med Hyg doi: 10.4269/ajtmh.2010.09-0458 – volume: 6 start-page: e1811 year: 2012 ident: ref19 article-title: Whole genome sequencing of field isolates provides robust characterization of genetic diversity in Plasmodium vivax publication-title: PLoS Negl Trop Dis doi: 10.1371/journal.pntd.0001811 – volume: 56 start-page: 2976 year: 2012 ident: ref23 article-title: Rapid, field-deployable method for genotyping and discovery of single-nucleotide polymorphisms associated with drug resistance in Plasmodium falciparum publication-title: Antimicrob Agents Chemother doi: 10.1128/AAC.05737-11 – volume: 36 start-page: 721 year: 2002 ident: ref35 article-title: Estimating F-statistics publication-title: Annu Rev Genet doi: 10.1146/annurev.genet.36.050802.093940 – year: 2014 ident: ref44 article-title: COIL: A methodology for evaluating malarial Complexity of Infection using Likelihood from SNP genotype datadology for evaluating malarial Complexity of Infection using Likelihood from SNP genotype data publication-title: Malar J – volume: 81 start-page: 203 year: 2013 ident: ref17 article-title: Genomics, population genetics and evolutionary history of Plasmodium vivax publication-title: Adv Parasitol doi: 10.1016/B978-0-12-407826-0.00005-9 – volume: 49 start-page: 853 year: 2003 ident: ref26 article-title: High-resolution genotyping by amplicon melting analysis using LCGreen publication-title: Clin Chem doi: 10.1373/49.6.853 – volume: 9 start-page: R171 year: 2008 ident: ref38 article-title: Genome-wide SNP genotyping highlights the role of natural selection in Plasmodium falciparum population divergence publication-title: Genome Biol doi: 10.1186/gb-2008-9-12-r171 – volume: 5 start-page: 4052 year: 2014 ident: ref21 article-title: A barcode of organellar genome polymorphisms identifies the geographic origin of Plasmodium falciparum strains publication-title: Nat Commun doi: 10.1038/ncomms5052 – volume: 7 start-page: 223 year: 2008 ident: ref22 article-title: A general SNP-based molecular barcode for Plasmodium falciparum identification and tracking publication-title: Malar J doi: 10.1186/1475-2875-7-223 – volume: 25 start-page: 1245 year: 2008 ident: ref12 article-title: Local adaptation and vector-mediated population structure in Plasmodium vivax malaria publication-title: Mol Biol Evol doi: 10.1093/molbev/msn073 – volume: 13 start-page: 262 year: 2012 ident: ref18 article-title: Whole genome sequencing analysis of Plasmodium vivax using whole genome capture publication-title: BMC Genomics doi: 10.1186/1471-2164-13-262 – volume: 50 start-page: 1156 year: 2004 ident: ref27 article-title: Genotyping of single-nucleotide polymorphisms by high-resolution melting of small amplicons publication-title: Clin Chem doi: 10.1373/clinchem.2004.032136 – volume: 99 start-page: 5261 year: 2002 ident: ref39 article-title: Comprehensive human genome amplification using multiple displacement amplification publication-title: Proc Natl Acad Sci U S A doi: 10.1073/pnas.082089499 – volume: 13 start-page: 59 year: 2014 ident: ref7 article-title: On the road to eliminate malaria in Sri Lanka: lessons from history, challenges, gaps in knowledge and research needs publication-title: Malar J doi: 10.1186/1475-2875-13-59 – volume: 9 start-page: 151 year: 2010 ident: ref41 article-title: Multilocus genotyping reveals high heterogeneity and strong local population structure of the Plasmodium vivax population in the Peruvian Amazon publication-title: Malar J doi: 10.1186/1475-2875-9-151 – volume: 2 start-page: e190 year: 2006 ident: ref36 article-title: Population structure and eigenanalysis publication-title: PLoS Genet doi: 10.1371/journal.pgen.0020190 – ident: ref33 |
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| Snippet | Plasmodium vivax, one of the five species of Plasmodium parasites that cause human malaria, is responsible for 25-40% of malaria cases worldwide. Malaria... Plasmodium vivax , one of the five species of Plasmodium parasites that cause human malaria, is responsible for 25–40% of malaria cases worldwide. Malaria... Plasmodium vivax, one of the five species of Plasmodium parasites that cause human malaria, is responsible for 25-40% of malaria cases worldwide. Malaria... |
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| SubjectTerms | Africa - epidemiology Asia - epidemiology Base Sequence Chromosome Mapping Disease DNA Barcoding, Taxonomic - methods DNA, Protozoan - genetics Genetic aspects Genetic diversity Genetic Markers - genetics Genomes Genomics Genotype & phenotype Humans Identification and classification Infections Life Sciences Malaria Malaria, Vivax - epidemiology Malaria, Vivax - parasitology Microbiology and Parasitology Mortality Parasites Parasitology Physiological aspects Plasmodium falciparum Plasmodium falciparum - classification Plasmodium falciparum - genetics Plasmodium falciparum - isolation & purification Plasmodium vivax Plasmodium vivax - classification Plasmodium vivax - genetics Plasmodium vivax - isolation & purification Polymorphism, Single Nucleotide Population genetics Single nucleotide polymorphisms South America - epidemiology Standard deviation |
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| Title | Development of a Single Nucleotide Polymorphism Barcode to Genotype Plasmodium vivax Infections |
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