51
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Voinson M, Nunn CL, Goldberg A. Primate malarias as a model for cross-species parasite transmission. eLife 2022; 11:e69628. [PMID: 35086643 PMCID: PMC8798051 DOI: 10.7554/elife.69628] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2021] [Accepted: 01/14/2022] [Indexed: 12/16/2022] Open
Abstract
Parasites regularly switch into new host species, representing a disease burden and conservation risk to the hosts. The distribution of these parasites also gives insight into characteristics of ecological networks and genetic mechanisms of host-parasite interactions. Some parasites are shared across many species, whereas others tend to be restricted to hosts from a single species. Understanding the mechanisms producing this distribution of host specificity can enable more effective interventions and potentially identify genetic targets for vaccines or therapies. As ecological connections between human and local animal populations increase, the risk to human and wildlife health from novel parasites also increases. Which of these parasites will fizzle out and which have the potential to become widespread in humans? We consider the case of primate malarias, caused by Plasmodium parasites, to investigate the interacting ecological and evolutionary mechanisms that put human and nonhuman primates at risk for infection. Plasmodium host switching from nonhuman primates to humans led to ancient introductions of the most common malaria-causing agents in humans today, and new parasite switching is a growing threat, especially in Asia and South America. Based on a wild host-Plasmodium occurrence database, we highlight geographic areas of concern and potential areas to target further sampling. We also discuss methodological developments that will facilitate clinical and field-based interventions to improve human and wildlife health based on this eco-evolutionary perspective.
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Affiliation(s)
- Marina Voinson
- Department of Evolutionary Anthropology, Duke UniversityDurhamUnited States
| | - Charles L Nunn
- Department of Evolutionary Anthropology, Duke UniversityDurhamUnited States
- Duke Global Health, Duke UniversityDurhamUnited States
| | - Amy Goldberg
- Department of Evolutionary Anthropology, Duke UniversityDurhamUnited States
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52
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Han J, Munro JE, Kocoski A, Barry AE, Bahlo M. Population-level genome-wide STR discovery and validation for population structure and genetic diversity assessment of Plasmodium species. PLoS Genet 2022; 18:e1009604. [PMID: 35007277 PMCID: PMC8782505 DOI: 10.1371/journal.pgen.1009604] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2021] [Revised: 01/21/2022] [Accepted: 12/14/2021] [Indexed: 11/18/2022] Open
Abstract
Short tandem repeats (STRs) are highly informative genetic markers that have been used extensively in population genetics analysis. They are an important source of genetic diversity and can also have functional impact. Despite the availability of bioinformatic methods that permit large-scale genome-wide genotyping of STRs from whole genome sequencing data, they have not previously been applied to sequencing data from large collections of malaria parasite field samples. Here, we have genotyped STRs using HipSTR in more than 3,000 Plasmodium falciparum and 174 Plasmodium vivax published whole-genome sequence data from samples collected across the globe. High levels of noise and variability in the resultant callset necessitated the development of a novel method for quality control of STR genotype calls. A set of high-quality STR loci (6,768 from P. falciparum and 3,496 from P. vivax) were used to study Plasmodium genetic diversity, population structures and genomic signatures of selection and these were compared to genome-wide single nucleotide polymorphism (SNP) genotyping data. In addition, the genome-wide information about genetic variation and other characteristics of STRs in P. falciparum and P. vivax have been available in an interactive web-based R Shiny application PlasmoSTR (https://github.com/bahlolab/PlasmoSTR).
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Affiliation(s)
- Jiru Han
- Population Health and Immunity Division, The Walter and Eliza Hall Institute of Medical Research, Melbourne, Australia
- Department of Medical Biology, The University of Melbourne, Melbourne, Australia
| | - Jacob E. Munro
- Population Health and Immunity Division, The Walter and Eliza Hall Institute of Medical Research, Melbourne, Australia
- Department of Medical Biology, The University of Melbourne, Melbourne, Australia
| | - Anthony Kocoski
- Population Health and Immunity Division, The Walter and Eliza Hall Institute of Medical Research, Melbourne, Australia
- Department of Mathematics and Statistics, The University of Melbourne, Melbourne, Australia
| | - Alyssa E. Barry
- Population Health and Immunity Division, The Walter and Eliza Hall Institute of Medical Research, Melbourne, Australia
- Department of Medical Biology, The University of Melbourne, Melbourne, Australia
- Disease Elimination Program, Burnet Institute, Melbourne, Australia
- IMPACT Institute for Innovation in Mental and Physical Health and Clinical Translation, Deakin University, Geelong, Australia
| | - Melanie Bahlo
- Population Health and Immunity Division, The Walter and Eliza Hall Institute of Medical Research, Melbourne, Australia
- Department of Medical Biology, The University of Melbourne, Melbourne, Australia
- * E-mail:
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53
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Band G, Leffler EM, Jallow M, Sisay-Joof F, Ndila CM, Macharia AW, Hubbart C, Jeffreys AE, Rowlands K, Nguyen T, Gonçalves S, Ariani CV, Stalker J, Pearson RD, Amato R, Drury E, Sirugo G, d'Alessandro U, Bojang KA, Marsh K, Peshu N, Saelens JW, Diakité M, Taylor SM, Conway DJ, Williams TN, Rockett KA, Kwiatkowski DP. Malaria protection due to sickle haemoglobin depends on parasite genotype. Nature 2021; 602:106-111. [PMID: 34883497 PMCID: PMC8810385 DOI: 10.1038/s41586-021-04288-3] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2021] [Accepted: 11/29/2021] [Indexed: 11/30/2022]
Abstract
Host genetic factors can confer resistance against malaria1, raising the question of whether this has led to evolutionary adaptation of parasite populations. Here we searched for association between candidate host and parasite genetic variants in 3,346 Gambian and Kenyan children with severe malaria caused by Plasmodium falciparum. We identified a strong association between sickle haemoglobin (HbS) in the host and three regions of the parasite genome, which is not explained by population structure or other covariates, and which is replicated in additional samples. The HbS-associated alleles include nonsynonymous variants in the gene for the acyl-CoA synthetase family member2–4PfACS8 on chromosome 2, in a second region of chromosome 2, and in a region containing structural variation on chromosome 11. The alleles are in strong linkage disequilibrium and have frequencies that covary with the frequency of HbS across populations, in particular being much more common in Africa than other parts of the world. The estimated protective effect of HbS against severe malaria, as determined by comparison of cases with population controls, varies greatly according to the parasite genotype at these three loci. These findings open up a new avenue of enquiry into the biological and epidemiological significance of the HbS-associated polymorphisms in the parasite genome and the evolutionary forces that have led to their high frequency and strong linkage disequilibrium in African P. falciparum populations. A strong association has been found between three regions of the Plasmodium falciparum genome and sickle haemoglobin in children with severe malaria, suggesting parasites have adapted to overcome natural host immunity.
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Affiliation(s)
- Gavin Band
- Wellcome Centre for Human Genetics, University of Oxford, Roosevelt Drive, Oxford, UK. .,Wellcome Sanger Institute, Hinxton, Cambridge, UK. .,Big Data Institute, Li Ka Shing Centre for Health and Information Discovery, Old Road Campus, Oxford, USA.
| | - Ellen M Leffler
- Wellcome Sanger Institute, Hinxton, Cambridge, UK.,Department of Human Genetics, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Muminatou Jallow
- Medical Research Council Unit The Gambia at the London School of Hygiene and Tropical Medicine, Atlantic Boulevard, Fajara, The Gambia.,Edward Francis Small Teaching Hospital (formerly Royal Victoria Teaching Hospital), Independence Drive, Banjul, The Gambia
| | - Fatoumatta Sisay-Joof
- Medical Research Council Unit The Gambia at the London School of Hygiene and Tropical Medicine, Atlantic Boulevard, Fajara, The Gambia
| | - Carolyne M Ndila
- KEMRI-Wellcome Trust Research Programme, PO Box 230, Kilifi, Kenya
| | | | - Christina Hubbart
- Wellcome Centre for Human Genetics, University of Oxford, Roosevelt Drive, Oxford, UK
| | - Anna E Jeffreys
- Wellcome Centre for Human Genetics, University of Oxford, Roosevelt Drive, Oxford, UK
| | - Kate Rowlands
- Wellcome Centre for Human Genetics, University of Oxford, Roosevelt Drive, Oxford, UK
| | - Thuy Nguyen
- Wellcome Sanger Institute, Hinxton, Cambridge, UK
| | | | | | - Jim Stalker
- Wellcome Sanger Institute, Hinxton, Cambridge, UK
| | - Richard D Pearson
- Wellcome Sanger Institute, Hinxton, Cambridge, UK.,Big Data Institute, Li Ka Shing Centre for Health and Information Discovery, Old Road Campus, Oxford, USA
| | | | | | - Giorgio Sirugo
- Medical Research Council Unit The Gambia at the London School of Hygiene and Tropical Medicine, Atlantic Boulevard, Fajara, The Gambia.,Division of Translational Medicine and Human Genetics, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
| | - Umberto d'Alessandro
- Medical Research Council Unit The Gambia at the London School of Hygiene and Tropical Medicine, Atlantic Boulevard, Fajara, The Gambia
| | - Kalifa A Bojang
- Medical Research Council Unit The Gambia at the London School of Hygiene and Tropical Medicine, Atlantic Boulevard, Fajara, The Gambia
| | - Kevin Marsh
- KEMRI-Wellcome Trust Research Programme, PO Box 230, Kilifi, Kenya.,Nuffield Department of Medicine, NDM Research Building, Roosevelt Drive, Headington, Oxford, UK
| | - Norbert Peshu
- KEMRI-Wellcome Trust Research Programme, PO Box 230, Kilifi, Kenya
| | - Joseph W Saelens
- Division of Infectious Diseases, Duke University School of Medicine, Durham, NC, USA
| | - Mahamadou Diakité
- Malaria Research and Training Center, University of Sciences, Techniques, and Technologies of Bamako, Bamako, Mali
| | - Steve M Taylor
- Division of Infectious Diseases, Duke University School of Medicine, Durham, NC, USA.,Duke Global Health Institute, Duke University, Durham, NC, USA
| | - David J Conway
- Medical Research Council Unit The Gambia at the London School of Hygiene and Tropical Medicine, Atlantic Boulevard, Fajara, The Gambia.,Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, Keppel Street, London, UK
| | - Thomas N Williams
- KEMRI-Wellcome Trust Research Programme, PO Box 230, Kilifi, Kenya.,Institute for Global Health Innovation, Department of Surgery and Cancer, Imperial College, London, London, UK
| | - Kirk A Rockett
- Wellcome Centre for Human Genetics, University of Oxford, Roosevelt Drive, Oxford, UK. .,Wellcome Sanger Institute, Hinxton, Cambridge, UK.
| | - Dominic P Kwiatkowski
- Wellcome Centre for Human Genetics, University of Oxford, Roosevelt Drive, Oxford, UK. .,Wellcome Sanger Institute, Hinxton, Cambridge, UK. .,Big Data Institute, Li Ka Shing Centre for Health and Information Discovery, Old Road Campus, Oxford, USA.
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54
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Ndiaye YD, Hartl DL, McGregor D, Badiane A, Fall FB, Daniels RF, Wirth DF, Ndiaye D, Volkman SK. Genetic surveillance for monitoring the impact of drug use on Plasmodium falciparum populations. Int J Parasitol Drugs Drug Resist 2021; 17:12-22. [PMID: 34333350 PMCID: PMC8342550 DOI: 10.1016/j.ijpddr.2021.07.004] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2021] [Revised: 06/24/2021] [Accepted: 07/07/2021] [Indexed: 11/23/2022]
Abstract
The use of antimalarial drugs is an effective strategy in the fight against malaria. However, selection of drug resistant parasites is a constant threat to the continued use of this approach. Antimalarial drugs are used not only to treat infections but also as part of population-level strategies to reduce malaria transmission toward elimination. While there is strong evidence that the ongoing use of antimalarial drugs increases the risk of the emergence and spread of drug-resistant parasites, it is less clear how population-level use of drug-based interventions like seasonal malaria chemoprevention (SMC) or mass drug administration (MDA) may contribute to drug resistance or loss of drug efficacy. Critical to sustained use of drug-based strategies for reducing the burden of malaria is the surveillance of population-level signals related to transmission reduction and resistance selection. Here we focus on Plasmodium falciparum and discuss the genetic signatures of a parasite population that are correlated with changes in transmission and related to drug pressure and resistance as a result of drug use. We review the evidence for MDA and SMC contributing to malaria burden reduction and drug resistance selection and examine the use and impact of these interventions in Senegal. Throughout we consider best strategies for ongoing surveillance of both population and resistance signals in the context of different parasite population parameters. Finally, we propose a roadmap for ongoing surveillance during population-level drug-based interventions to reduce the global malaria burden.
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Affiliation(s)
| | | | - David McGregor
- Harvard T.H. Chan School of Public Health, Boston, MA, USA.
| | | | - Fatou Ba Fall
- Programme National de Lutte Contre le Paludisme, Senegal.
| | - Rachel F Daniels
- Harvard T.H. Chan School of Public Health, Boston, MA, USA; The Broad Institute, Cambridge, MA, USA.
| | - Dyann F Wirth
- Harvard T.H. Chan School of Public Health, Boston, MA, USA; The Broad Institute, Cambridge, MA, USA.
| | | | - Sarah K Volkman
- Harvard T.H. Chan School of Public Health, Boston, MA, USA; The Broad Institute, Cambridge, MA, USA; Simmons University, Boston, MA, USA.
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55
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Comparative Analysis of Plasmodium falciparum Genotyping via SNP Detection, Microsatellite Profiling, and Whole-Genome Sequencing. Antimicrob Agents Chemother 2021; 66:e0116321. [PMID: 34694871 PMCID: PMC8765236 DOI: 10.1128/aac.01163-21] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
Research efforts to combat antimalarial drug resistance rely on quick, robust, and sensitive methods to genetically characterize Plasmodium falciparum parasites. We developed a single-nucleotide polymorphism (SNP)-based genotyping method that can assess 33 drug resistance-conferring SNPs in dhfr, dhps, pfmdr1, pfcrt, and k13 in nine PCRs, performed directly from P. falciparum cultures or infected blood. We also optimized multiplexed fragment analysis and gel electrophoresis-based microsatellite typing methods using a set of five markers that can distinguish 12 laboratory strains of diverse geographical and temporal origin. We demonstrate how these methods can be applied to screen for the multidrug-resistant KEL1/PLA1/PfPailin (KelPP) lineage that has been sweeping across the Greater Mekong Subregion, verify parasite in vitro SNP-editing, identify novel recombinant genetic cross progeny, or cluster strains to infer their geographical origins. Results were compared with Illumina-based whole-genome sequence analysis that provides the most detailed sequence information but is cost-prohibitive. These adaptable, simple, and inexpensive methods can be easily implemented into routine genotyping of P. falciparum parasites in both laboratory and field settings.
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56
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Rougeron V, Boundenga L, Arnathau C, Durand P, Renaud F, Prugnolle F. A population genetic perspective on the origin, spread and adaptation of the human malaria agents Plasmodium falciparum and Plasmodium vivax. FEMS Microbiol Rev 2021; 46:6373923. [PMID: 34550355 DOI: 10.1093/femsre/fuab047] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2021] [Accepted: 09/06/2021] [Indexed: 01/20/2023] Open
Abstract
Malaria is considered one of the most important scourges that humanity has faced during its history, being responsible every year for numerous deaths worldwide. The disease is caused by protozoan parasites, among which two species are responsible of the majority of the burden, Plasmodium falciparum and Plasmodium vivax. For these two parasite species, the questions of their origin (how and when they appeared in humans), of their spread throughout the world, as well as how they have adapted to humans have long been of interest to the scientific community. Here, we review the current knowledge that has accumulated on these different questions, thanks in particular to the analysis of the genetic and genomic variability of these parasites and comparison with related Plasmodium species infecting other host species (like non-human primates). In this paper we review the existing body of knowledge, including current research dealing with these questions, focusing particularly on genetic analysis and genomic variability of these parasites and comparison with related Plasmodium species infecting other species of host (such as non-human primates).
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Affiliation(s)
- Virginie Rougeron
- Laboratory MIVEGEC, University of Montpellier, CNRS, IRD, 900 rue Jean François Breton, 34090 Montpellier, France.,CREES, Centre de Recherches en Écologie et Évolution de la Santé, Montpellier, France
| | - Larson Boundenga
- CIRMF, Centre Interdisciplinaire de Recherches Médicales de Franceville, Franceville, Gabon
| | - Céline Arnathau
- Laboratory MIVEGEC, University of Montpellier, CNRS, IRD, 900 rue Jean François Breton, 34090 Montpellier, France.,CREES, Centre de Recherches en Écologie et Évolution de la Santé, Montpellier, France
| | - Patrick Durand
- Laboratory MIVEGEC, University of Montpellier, CNRS, IRD, 900 rue Jean François Breton, 34090 Montpellier, France.,CREES, Centre de Recherches en Écologie et Évolution de la Santé, Montpellier, France
| | - François Renaud
- Laboratory MIVEGEC, University of Montpellier, CNRS, IRD, 900 rue Jean François Breton, 34090 Montpellier, France.,CREES, Centre de Recherches en Écologie et Évolution de la Santé, Montpellier, France
| | - Franck Prugnolle
- Laboratory MIVEGEC, University of Montpellier, CNRS, IRD, 900 rue Jean François Breton, 34090 Montpellier, France.,CREES, Centre de Recherches en Écologie et Évolution de la Santé, Montpellier, France
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57
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Ajibola O, Diop MF, Ghansah A, Amenga-Etego L, Golassa L, Apinjoh T, Randrianarivelojosia M, Maiga-Ascofare O, Yavo W, Bouyou-Akotet M, Oyebola KM, Andagalu B, D'Alessandro U, Ishengoma D, Djimde AA, Kamau E, Amambua-Ngwa A. In silico characterisation of putative Plasmodium falciparum vaccine candidates in African malaria populations. Sci Rep 2021; 11:16215. [PMID: 34376744 PMCID: PMC8355234 DOI: 10.1038/s41598-021-95442-4] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2020] [Accepted: 07/09/2021] [Indexed: 01/04/2023] Open
Abstract
Genetic diversity of surface exposed and stage specific Plasmodium falciparum immunogenic proteins pose a major roadblock to developing an effective malaria vaccine with broad and long-lasting immunity. We conducted a prospective genetic analysis of candidate antigens (msp1, ama1, rh5, eba175, glurp, celtos, csp, lsa3, Pfsea, trap, conserved chrom3, hyp9, hyp10, phistb, surfin8.2, and surfin14.1) for malaria vaccine development on 2375 P. falciparum sequences from 16 African countries. We described signatures of balancing selection inferred from positive values of Tajima's D for all antigens across all populations except for glurp. This could be as a result of immune selection on these antigens as positive Tajima's D values mapped to regions with putative immune epitopes. A less diverse phistb antigen was characterised with a transmembrane domain, glycophosphatidyl anchors between the N and C- terminals, and surface epitopes that could be targets of immune recognition. This study demonstrates the value of population genetic and immunoinformatic analysis for identifying and characterising new putative vaccine candidates towards improving strain transcending immunity, and vaccine efficacy across all endemic populations.
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Affiliation(s)
- O Ajibola
- Medical Research Council Unit, The Gambia at London School of Hygiene and Tropical Medicine, Banjul, The Gambia
- First Technical University, Ibadan, Nigeria
| | - M F Diop
- Medical Research Council Unit, The Gambia at London School of Hygiene and Tropical Medicine, Banjul, The Gambia
| | - A Ghansah
- Noguchi Memorial Institute for Medical Research, University of Ghana, P.O. Box LG 581, Legon, Ghana
| | - L Amenga-Etego
- West African Center for Cell Biology of Infectious Pathogens, University of Ghana, Accra, Ghana
| | - L Golassa
- Aklilu Lemma Institute of Pathobiology, Addis Ababa University, Addis Ababa, Ethiopia
| | - T Apinjoh
- Department of Biochemistry and Molecular Biology, University of Buea, Buea, Cameroon
| | | | - O Maiga-Ascofare
- Bernhard Nocht Institute for Topical Medicine (BNITM), Hamburg, Germany
| | - W Yavo
- Unite Des Sciences Pharmaceutiques et Biologiques, University Félix Houphouët-Boigny, Abidjan, Côte d'Ivoire
| | - M Bouyou-Akotet
- Faculty of Medicine, University of Health Sciences, Libreville, Gabon
| | - K M Oyebola
- Department of Zoology, University of Lagos, Lagos, Nigeria
| | - B Andagalu
- United States Army Medical Research Directorate-Africa, Kenya Medical Research Institute/Walter Reed Project, Kisumu, Kenya
| | - U D'Alessandro
- Medical Research Council Unit, The Gambia at London School of Hygiene and Tropical Medicine, Banjul, The Gambia
| | - D Ishengoma
- National Institute for Medical Research (NIMR), Tanga, Tanzania
| | - A A Djimde
- Malaria Research and Training Centre, University of Science, Techniques and Technologies of Bamako, Bamako, Mali
| | - E Kamau
- Department of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California, Los Angeles, CA, 90095, USA.
- U.S. Military HIV Research Program, Walter Reed Army Institute of Research, Silver Spring, MD, 20910, USA.
| | - A Amambua-Ngwa
- Medical Research Council Unit, The Gambia at London School of Hygiene and Tropical Medicine, Banjul, The Gambia.
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58
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Abstract
Almost 20 years have passed since the first reference genome assemblies were published for Plasmodium falciparum, the deadliest malaria parasite, and Anopheles gambiae, the most important mosquito vector of malaria in sub-Saharan Africa. Reference genomes now exist for all human malaria parasites and nearly half of the ~40 important vectors around the world. As a foundation for genetic diversity studies, these reference genomes have helped advance our understanding of basic disease biology and drug and insecticide resistance, and have informed vaccine development efforts. Population genomic data are increasingly being used to guide our understanding of malaria epidemiology, for example by assessing connectivity between populations and the efficacy of parasite and vector interventions. The potential value of these applications to malaria control strategies, together with the increasing diversity of genomic data types and contexts in which data are being generated, raise both opportunities and challenges in the field. This Review discusses advances in malaria genomics and explores how population genomic data could be harnessed to further support global disease control efforts.
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Affiliation(s)
- Daniel E Neafsey
- Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
- Infectious Disease and Microbiome Program, Broad Institute, Cambridge, MA, USA.
| | - Aimee R Taylor
- Infectious Disease and Microbiome Program, Broad Institute, Cambridge, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Bronwyn L MacInnis
- Infectious Disease and Microbiome Program, Broad Institute, Cambridge, MA, USA.
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59
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Abstract
Although the last two decades have seen a substantial decline in malaria incidence and mortality due to the use of insecticide-treated bed nets and artemisinin combination therapy, the threat of drug resistance is a constant obstacle to sustainable malaria control. Given that patients can die quickly from this disease, public health officials and doctors need to understand whether drug resistance exists in the parasite population, as well as how prevalent it is so they can make informed decisions about treatment. As testing for drug efficacy before providing treatment to malaria patients is impractical, researchers need molecular markers of resistance that can be more readily tracked in parasite populations. To this end, much work has been done to unravel the genetic underpinnings of drug resistance in Plasmodium falciparum. The aim of this review is to provide a broad overview of common genomic approaches that have been used to discover the alleles that drive drug response phenotypes in the most lethal human malaria parasite.
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Affiliation(s)
- Frances Rocamora
- Department of Pediatrics, School of Medicine, University of California, San Diego, La Jolla, California 92093, USA
| | - Elizabeth A Winzeler
- Department of Pediatrics, School of Medicine, University of California, San Diego, La Jolla, California 92093, USA
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60
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Stokes BH, Dhingra SK, Rubiano K, Mok S, Straimer J, Gnädig NF, Deni I, Schindler KA, Bath JR, Ward KE, Striepen J, Yeo T, Ross LS, Legrand E, Ariey F, Cunningham CH, Souleymane IM, Gansané A, Nzoumbou-Boko R, Ndayikunda C, Kabanywanyi AM, Uwimana A, Smith SJ, Kolley O, Ndounga M, Warsame M, Leang R, Nosten F, Anderson TJ, Rosenthal PJ, Ménard D, Fidock DA. Plasmodium falciparum K13 mutations in Africa and Asia impact artemisinin resistance and parasite fitness. eLife 2021; 10:66277. [PMID: 34279219 PMCID: PMC8321553 DOI: 10.7554/elife.66277] [Citation(s) in RCA: 75] [Impact Index Per Article: 25.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2021] [Accepted: 07/17/2021] [Indexed: 12/22/2022] Open
Abstract
The emergence of mutant K13-mediated artemisinin (ART) resistance in Plasmodium falciparum malaria parasites has led to widespread treatment failures across Southeast Asia. In Africa, K13-propeller genotyping confirms the emergence of the R561H mutation in Rwanda and highlights the continuing dominance of wild-type K13 elsewhere. Using gene editing, we show that R561H, along with C580Y and M579I, confer elevated in vitro ART resistance in some African strains, contrasting with minimal changes in ART susceptibility in others. C580Y and M579I cause substantial fitness costs, which may slow their dissemination in high-transmission settings, in contrast with R561H that in African 3D7 parasites is fitness neutral. In Cambodia, K13 genotyping highlights the increasing spatio-temporal dominance of C580Y. Editing multiple K13 mutations into a panel of Southeast Asian strains reveals that only the R561H variant yields ART resistance comparable to C580Y. In Asian Dd2 parasites C580Y shows no fitness cost, in contrast with most other K13 mutations tested, including R561H. Editing of point mutations in ferredoxin or mdr2, earlier associated with resistance, has no impact on ART susceptibility or parasite fitness. These data underline the complex interplay between K13 mutations, parasite survival, growth and genetic background in contributing to the spread of ART resistance.
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Affiliation(s)
- Barbara H Stokes
- Department of Microbiology and Immunology, Columbia University Irving Medical Center, New York, United States
| | - Satish K Dhingra
- Department of Microbiology and Immunology, Columbia University Irving Medical Center, New York, United States
| | - Kelly Rubiano
- Department of Microbiology and Immunology, Columbia University Irving Medical Center, New York, United States
| | - Sachel Mok
- Department of Microbiology and Immunology, Columbia University Irving Medical Center, New York, United States
| | - Judith Straimer
- Department of Microbiology and Immunology, Columbia University Irving Medical Center, New York, United States
| | - Nina F Gnädig
- Department of Microbiology and Immunology, Columbia University Irving Medical Center, New York, United States
| | - Ioanna Deni
- Department of Microbiology and Immunology, Columbia University Irving Medical Center, New York, United States
| | - Kyra A Schindler
- Department of Microbiology and Immunology, Columbia University Irving Medical Center, New York, United States
| | - Jade R Bath
- Department of Microbiology and Immunology, Columbia University Irving Medical Center, New York, United States
| | - Kurt E Ward
- Department of Microbiology and Immunology, Columbia University Irving Medical Center, New York, United States.,Department of Microbiology and Immunology, University of Otago, Dunedin, New Zealand
| | - Josefine Striepen
- Department of Microbiology and Immunology, Columbia University Irving Medical Center, New York, United States
| | - Tomas Yeo
- Department of Microbiology and Immunology, Columbia University Irving Medical Center, New York, United States
| | - Leila S Ross
- Department of Microbiology and Immunology, Columbia University Irving Medical Center, New York, United States
| | - Eric Legrand
- Malaria Genetics and Resistance Unit, Institut Pasteur, INSERM U1201, CNRS ERL9195, Paris, France
| | - Frédéric Ariey
- Institut Cochin, INSERM U1016, Université Paris Descartes, Paris, France
| | - Clark H Cunningham
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, United States
| | - Issa M Souleymane
- Programme National de Lutte Contre le Paludisme au Tchad, Ndjamena, Chad
| | - Adama Gansané
- Centre National de Recherche et de Formation sur le Paludisme, Ouagadougou, Burkina Faso
| | - Romaric Nzoumbou-Boko
- Laboratoire de Parasitologie, Institut Pasteur de Bangui, Bangui, Central African Republic
| | | | | | - Aline Uwimana
- Malaria and Other Parasitic Diseases Division, Rwanda Biomedical Centre, Kigali, Rwanda
| | - Samuel J Smith
- National Malaria Control Program, Freetown, Sierra Leone
| | | | - Mathieu Ndounga
- Programme National de Lutte Contre le Paludisme, Brazzaville, Democratic Republic of the Congo
| | - Marian Warsame
- School of Public Health and Community Medicine, University of Gothenburg, Gothenburg, Sweden
| | - Rithea Leang
- National Center for Parasitology, Entomology & Malaria Control, Phnom Penh, Cambodia
| | - François Nosten
- Shoklo Malaria Research Unit, Mahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Mae Sot, Thailand.,Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom
| | | | - Philip J Rosenthal
- Department of Medicine, University of California, San Francisco, San Francisco, United States
| | - Didier Ménard
- Malaria Genetics and Resistance Unit, Institut Pasteur, INSERM U1201, CNRS ERL9195, Paris, France
| | - David A Fidock
- Division of Infectious Diseases, Department of Medicine, Columbia University Irving Medical Center, New York, United States
| |
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61
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Ahouidi A, Ali M, Almagro-Garcia J, Amambua-Ngwa A, Amaratunga C, Amato R, Amenga-Etego L, Andagalu B, Anderson TJC, Andrianaranjaka V, Apinjoh T, Ariani C, Ashley EA, Auburn S, Awandare GA, Ba H, Baraka V, Barry AE, Bejon P, Bertin GI, Boni MF, Borrmann S, Bousema T, Branch O, Bull PC, Busby GBJ, Chookajorn T, Chotivanich K, Claessens A, Conway D, Craig A, D'Alessandro U, Dama S, Day NPJ, Denis B, Diakite M, Djimdé A, Dolecek C, Dondorp AM, Drakeley C, Drury E, Duffy P, Echeverry DF, Egwang TG, Erko B, Fairhurst RM, Faiz A, Fanello CA, Fukuda MM, Gamboa D, Ghansah A, Golassa L, Goncalves S, Hamilton WL, Harrison GLA, Hart L, Henrichs C, Hien TT, Hill CA, Hodgson A, Hubbart C, Imwong M, Ishengoma DS, Jackson SA, Jacob CG, Jeffery B, Jeffreys AE, Johnson KJ, Jyothi D, Kamaliddin C, Kamau E, Kekre M, Kluczynski K, Kochakarn T, Konaté A, Kwiatkowski DP, Kyaw MP, Lim P, Lon C, Loua KM, Maïga-Ascofaré O, Malangone C, Manske M, Marfurt J, Marsh K, Mayxay M, Miles A, Miotto O, Mobegi V, Mokuolu OA, Montgomery J, Mueller I, Newton PN, Nguyen T, Nguyen TN, Noedl H, Nosten F, Noviyanti R, Nzila A, Ochola-Oyier LI, Ocholla H, Oduro A, Omedo I, Onyamboko MA, Ouedraogo JB, Oyebola K, Pearson RD, Peshu N, Phyo AP, Plowe CV, Price RN, Pukrittayakamee S, Randrianarivelojosia M, Rayner JC, Ringwald P, Rockett KA, Rowlands K, Ruiz L, Saunders D, Shayo A, Siba P, Simpson VJ, Stalker J, Su XZ, Sutherland C, Takala-Harrison S, Tavul L, Thathy V, Tshefu A, Verra F, Vinetz J, Wellems TE, Wendler J, White NJ, Wright I, Yavo W, Ye H. An open dataset of Plasmodium falciparum genome variation in 7,000 worldwide samples. Wellcome Open Res 2021; 6:42. [PMID: 33824913 PMCID: PMC8008441 DOI: 10.12688/wellcomeopenres.16168.1] [Citation(s) in RCA: 54] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/15/2021] [Indexed: 02/02/2023] Open
Abstract
MalariaGEN is a data-sharing network that enables groups around the world to work together on the genomic epidemiology of malaria. Here we describe a new release of curated genome variation data on 7,000 Plasmodium falciparum samples from MalariaGEN partner studies in 28 malaria-endemic countries. High-quality genotype calls on 3 million single nucleotide polymorphisms (SNPs) and short indels were produced using a standardised analysis pipeline. Copy number variants associated with drug resistance and structural variants that cause failure of rapid diagnostic tests were also analysed. Almost all samples showed genetic evidence of resistance to at least one antimalarial drug, and some samples from Southeast Asia carried markers of resistance to six commonly-used drugs. Genes expressed during the mosquito stage of the parasite life-cycle are prominent among loci that show strong geographic differentiation. By continuing to enlarge this open data resource we aim to facilitate research into the evolutionary processes affecting malaria control and to accelerate development of the surveillance toolkit required for malaria elimination.
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Affiliation(s)
| | | | - Mozam Ali
- Wellcome Sanger Institute, Hinxton, UK
| | - Jacob Almagro-Garcia
- Wellcome Sanger Institute, Hinxton, UK,MRC Centre for Genomics and Global Health, Big Data Institute, University of Oxford, Oxford, UK
| | - Alfred Amambua-Ngwa
- Wellcome Sanger Institute, Hinxton, UK,Medical Research Council Unit The Gambia, at the London School of Hygiene and Tropical Medicine, Banjul, The Gambia
| | - Chanaki Amaratunga
- National Institute of Allergy and Infectious Diseases (NIAID), NIH, Bethesda, USA
| | - Roberto Amato
- Wellcome Sanger Institute, Hinxton, UK,MRC Centre for Genomics and Global Health, Big Data Institute, University of Oxford, Oxford, UK
| | - Lucas Amenga-Etego
- Navrongo Health Research Centre, Ghana Health Service, Navrongo, Ghana,West African Centre for Cell Biology of Infectious Pathogens (WACCBIP), University of Ghana, Accra, Ghana
| | - Ben Andagalu
- United States Army Medical Research Directorate-Africa, Kenya Medical Research Institute/Walter Reed Project, Kisumu, Kenya
| | | | | | | | | | - Elizabeth A Ashley
- Mahidol-Oxford Tropical Medicine Research Unit (MORU), Bangkok, Thailand
| | - Sarah Auburn
- Menzies School of Health Research, Darwin, Australia,Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Gordon A. Awandare
- West African Centre for Cell Biology of Infectious Pathogens (WACCBIP), University of Ghana, Accra, Ghana,University of Ghana, Legon, Ghana
| | - Hampate Ba
- Institut National de Recherche en Santé Publique, Nouakchott, Mauritania
| | - Vito Baraka
- National Institute for Medical Research (NIMR), Dar es Salaam, Tanzania,Department of Epidemiology, International Health Unit, University of Antwerp, Antwerp, Belgium
| | - Alyssa E. Barry
- Deakin University, Geelong, Australia,Burnet Institute, Melbourne, Australia,Walter and Eliza Hall Institute, Melbourne, Australia
| | - Philip Bejon
- KEMRI Wellcome Trust Research Programme, Kilifi, Kenya
| | | | - Maciej F. Boni
- Nuffield Department of Medicine, University of Oxford, Oxford, UK,Oxford University Clinical Research Unit (OUCRU), Ho Chi Minh City, Vietnam
| | - Steffen Borrmann
- Institute for Tropical Medicine, University of Tübingen, Tübingen, Germany
| | - Teun Bousema
- London School of Hygiene and Tropical Medicine, London, UK,Radboud University Medical Center, Nijmegen, The Netherlands
| | - Oralee Branch
- NYU School of Medicine Langone Medical Center, New York, USA
| | - Peter C. Bull
- KEMRI Wellcome Trust Research Programme, Kilifi, Kenya,Department of Pathology, University of Cambridge, Cambridge, UK
| | - George B. J. Busby
- MRC Centre for Genomics and Global Health, Big Data Institute, University of Oxford, Oxford, UK
| | | | | | - Antoine Claessens
- Medical Research Council Unit The Gambia, at the London School of Hygiene and Tropical Medicine, Banjul, The Gambia,LPHI, MIVEGEC, INSERM, CNRS, IRD, University of Montpellier, Montpellier, France
| | - David Conway
- London School of Hygiene and Tropical Medicine, London, UK
| | - Alister Craig
- Liverpool School of Tropical Medicine, Liverpool, UK,Malawi-Liverpool-Wellcome Trust Clinical Research, Blantyre, Malawi
| | - Umberto D'Alessandro
- Medical Research Council Unit The Gambia, at the London School of Hygiene and Tropical Medicine, Banjul, The Gambia
| | - Souleymane Dama
- Malaria Research and Training Centre, University of Science, Techniques and Technologies of Bamako, Bamako, Mali
| | - Nicholas PJ Day
- Mahidol-Oxford Tropical Medicine Research Unit (MORU), Bangkok, Thailand
| | - Brigitte Denis
- Malawi-Liverpool-Wellcome Trust Clinical Research, Blantyre, Malawi
| | - Mahamadou Diakite
- Malaria Research and Training Centre, University of Science, Techniques and Technologies of Bamako, Bamako, Mali
| | - Abdoulaye Djimdé
- Malaria Research and Training Centre, University of Science, Techniques and Technologies of Bamako, Bamako, Mali
| | | | - Arjen M Dondorp
- Mahidol-Oxford Tropical Medicine Research Unit (MORU), Bangkok, Thailand
| | - Chris Drakeley
- London School of Hygiene and Tropical Medicine, London, UK
| | | | - Patrick Duffy
- National Institute of Allergy and Infectious Diseases (NIAID), NIH, Bethesda, USA
| | - Diego F. Echeverry
- Centro Internacional de Entrenamiento e Investigaciones Médicas - CIDEIM, Cali, Colombia,Universidad Icesi, Cali, Colombia
| | | | - Berhanu Erko
- Aklilu Lemma Institute of Pathobiology, Addis Ababa University, Addis Ababa, Ethiopia
| | | | | | | | - Mark M. Fukuda
- Department of Immunology and Medicine, US Army Medical Component, Armed Forces Research Institute of Medical Sciences (USAMC-AFRIMS), Bangkok, Thailand
| | - Dionicia Gamboa
- Laboratorio ICEMR-Amazonia, Laboratorios de Investigacion y Desarrollo, Facultad de Ciencias y Filosofia, Universidad Peruana Cayetano Heredia, Lima, Peru
| | - Anita Ghansah
- Nogouchi Memorial Institute for Medical Research, Legon-Accra, Ghana
| | - Lemu Golassa
- Aklilu Lemma Institute of Pathobiology, Addis Ababa University, Addis Ababa, Ethiopia
| | | | - William L. Hamilton
- Wellcome Sanger Institute, Hinxton, UK,Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | | | - Lee Hart
- MRC Centre for Genomics and Global Health, Big Data Institute, University of Oxford, Oxford, UK
| | - Christa Henrichs
- MRC Centre for Genomics and Global Health, Big Data Institute, University of Oxford, Oxford, UK
| | - Tran Tinh Hien
- Oxford University Clinical Research Unit (OUCRU), Ho Chi Minh City, Vietnam,Centre for Tropical Medicine and Global Health, University of Oxford, Oxford, UK
| | | | | | - Christina Hubbart
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
| | | | - Deus S. Ishengoma
- National Institute for Medical Research (NIMR), Dar es Salaam, Tanzania,East African Consortium for Clinical Research (EACCR), Dar es Salaam, Tanzania
| | - Scott A. Jackson
- Center for Applied Genetic Technologies, University of Georgia, Athens, GA, USA
| | | | - Ben Jeffery
- MRC Centre for Genomics and Global Health, Big Data Institute, University of Oxford, Oxford, UK
| | - Anna E. Jeffreys
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Kimberly J. Johnson
- MRC Centre for Genomics and Global Health, Big Data Institute, University of Oxford, Oxford, UK
| | | | | | - Edwin Kamau
- Walter Reed Army Institute of Research, U.S. Military HIV Research Program, Silver Spring, MD, USA
| | | | - Krzysztof Kluczynski
- MRC Centre for Genomics and Global Health, Big Data Institute, University of Oxford, Oxford, UK
| | - Theerarat Kochakarn
- Wellcome Sanger Institute, Hinxton, UK,Mahidol University, Bangkok, Thailand
| | | | - Dominic P. Kwiatkowski
- Wellcome Sanger Institute, Hinxton, UK,MRC Centre for Genomics and Global Health, Big Data Institute, University of Oxford, Oxford, UK,Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Myat Phone Kyaw
- The Myanmar Oxford Clinical Research Unit, University of Oxford, Yangon, Myanmar,University of Public Health, Yangon, Myanmar
| | - Pharath Lim
- National Institute of Allergy and Infectious Diseases (NIAID), NIH, Bethesda, USA,Medical Care Development International, Maryland, USA
| | - Chanthap Lon
- Department of Immunology and Medicine, US Army Medical Component, Armed Forces Research Institute of Medical Sciences (USAMC-AFRIMS), Bangkok, Thailand
| | | | - Oumou Maïga-Ascofaré
- Malaria Research and Training Centre, University of Science, Techniques and Technologies of Bamako, Bamako, Mali,Bernhard Nocht Institute for Tropical Medicine, Hamburg, Germany,Research in Tropical Medicine, Kwame Nkrumah University of Sciences and Technology, Kumasi, Ghana
| | | | | | - Jutta Marfurt
- Menzies School of Health Research, Darwin, Australia
| | - Kevin Marsh
- Nuffield Department of Medicine, University of Oxford, Oxford, UK,African Academy of Sciences, Nairobi, Kenya
| | - Mayfong Mayxay
- Lao-Oxford-Mahosot Hospital-Wellcome Trust Research Unit (LOMWRU), Vientiane, Lao People's Democratic Republic,Institute of Research and Education Development (IRED), University of Health Sciences, Ministry of Health, Vientiane, Lao People's Democratic Republic
| | - Alistair Miles
- Wellcome Sanger Institute, Hinxton, UK,MRC Centre for Genomics and Global Health, Big Data Institute, University of Oxford, Oxford, UK
| | - Olivo Miotto
- Wellcome Sanger Institute, Hinxton, UK,MRC Centre for Genomics and Global Health, Big Data Institute, University of Oxford, Oxford, UK,Mahidol-Oxford Tropical Medicine Research Unit (MORU), Bangkok, Thailand
| | - Victor Mobegi
- School of Medicine, University of Nairobi, Nairobi, Kenya
| | - Olugbenga A. Mokuolu
- Department of Paediatrics and Child Health, University of Ilorin, Ilorin, Nigeria
| | - Jacqui Montgomery
- Institute of Vector-Borne Disease, Monash University, Clayton, Victoria, 3800, Australia
| | - Ivo Mueller
- Walter and Eliza Hall Institute, Melbourne, Australia,Barcelona Centre for International Health Research, Barcelona, Spain
| | - Paul N. Newton
- Wellcome Trust-Mahosot Hospital-Oxford Tropical Medicine Research Collaboration, Vientiane, Lao People's Democratic Republic
| | | | - Thuy-Nhien Nguyen
- Oxford University Clinical Research Unit (OUCRU), Ho Chi Minh City, Vietnam
| | - Harald Noedl
- MARIB - Malaria Research Initiative Bandarban, Bandarban, Bangladesh
| | - Francois Nosten
- Nuffield Department of Medicine, University of Oxford, Oxford, UK,Shoklo Malaria Research Unit, Bangkok, Thailand
| | | | - Alexis Nzila
- King Fahid University of Petroleum and Minerals (KFUMP), Dharhran, Saudi Arabia
| | | | - Harold Ocholla
- KEMRI - Centres for Disease Control and Prevention (CDC) Research Program, Kisumu, Kenya,Centre for Bioinformatics and Biotechnology, University of Nairobi, Nairobi, Kenya
| | - Abraham Oduro
- Navrongo Health Research Centre, Ghana Health Service, Navrongo, Ghana
| | - Irene Omedo
- KEMRI Wellcome Trust Research Programme, Kilifi, Kenya
| | - Marie A. Onyamboko
- Kinshasa School of Public Health, University of Kinshasa, Kinshasa, Congo, Democratic Republic
| | | | - Kolapo Oyebola
- Nigerian Institute of Medical Research, Lagos, Nigeria,Parasitology and Bioinformatics Unit, Faculty of Science, University of Lagos, Lagos, Nigeria
| | - Richard D. Pearson
- Wellcome Sanger Institute, Hinxton, UK,MRC Centre for Genomics and Global Health, Big Data Institute, University of Oxford, Oxford, UK
| | - Norbert Peshu
- KEMRI Wellcome Trust Research Programme, Kilifi, Kenya
| | - Aung Pyae Phyo
- Mahidol-Oxford Tropical Medicine Research Unit (MORU), Bangkok, Thailand,Shoklo Malaria Research Unit, Bangkok, Thailand
| | - Chris V. Plowe
- School of Medicine, University of Maryland, Baltimore, MD, USA
| | - Ric N. Price
- Mahidol-Oxford Tropical Medicine Research Unit (MORU), Bangkok, Thailand,Menzies School of Health Research, Darwin, Australia,Centre for Tropical Medicine and Global Health, University of Oxford, Oxford, UK
| | | | - Milijaona Randrianarivelojosia
- Institut Pasteur de Madagascar, Antananarivo, Madagascar,Universités d'Antananarivo et de Mahajanga, Antananarivo, Madagascar
| | | | | | - Kirk A. Rockett
- Wellcome Sanger Institute, Hinxton, UK,Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
| | | | - Lastenia Ruiz
- Universidad Nacional de la Amazonia Peruana, Iquitos, Peru
| | - David Saunders
- Department of Immunology and Medicine, US Army Medical Component, Armed Forces Research Institute of Medical Sciences (USAMC-AFRIMS), Bangkok, Thailand
| | - Alex Shayo
- Nelson Mandela Institute of Science and Technology, Arusha, Tanzania
| | - Peter Siba
- Papua New Guinea Institute of Medical Research, Goroka, Papua New Guinea
| | - Victoria J. Simpson
- MRC Centre for Genomics and Global Health, Big Data Institute, University of Oxford, Oxford, UK
| | | | - Xin-zhuan Su
- National Institute of Allergy and Infectious Diseases (NIAID), NIH, Bethesda, USA
| | | | - Shannon Takala-Harrison
- Center for Vaccine Development and Global Health, University of Maryland, School of Medicine, Baltimore, MD, USA
| | - Livingstone Tavul
- Papua New Guinea Institute of Medical Research, Goroka, Papua New Guinea
| | - Vandana Thathy
- KEMRI Wellcome Trust Research Programme, Kilifi, Kenya,Department of Microbiology and Immunology, Columbia University Irving Medical Center, New York, New York, USA
| | | | | | - Joseph Vinetz
- Laboratorio ICEMR-Amazonia, Laboratorios de Investigacion y Desarrollo, Facultad de Ciencias y Filosofia, Universidad Peruana Cayetano Heredia, Lima, Peru,Yale School of Medicine, New Haven, CT, USA
| | - Thomas E. Wellems
- National Institute of Allergy and Infectious Diseases (NIAID), NIH, Bethesda, USA
| | - Jason Wendler
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Nicholas J. White
- Mahidol-Oxford Tropical Medicine Research Unit (MORU), Bangkok, Thailand
| | - Ian Wright
- MRC Centre for Genomics and Global Health, Big Data Institute, University of Oxford, Oxford, UK
| | - William Yavo
- University Félix Houphouët-Boigny, Abidjan, Cote d'Ivoire,Malaria Research and Control Center of the National Institute of Public Health, Abidjan, Cote d'Ivoire
| | - Htut Ye
- Department of Medical Research, Yangon, Myanmar
| |
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62
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Ahouidi A, Ali M, Almagro-Garcia J, Amambua-Ngwa A, Amaratunga C, Amato R, Amenga-Etego L, Andagalu B, Anderson TJC, Andrianaranjaka V, Apinjoh T, Ariani C, Ashley EA, Auburn S, Awandare GA, Ba H, Baraka V, Barry AE, Bejon P, Bertin GI, Boni MF, Borrmann S, Bousema T, Branch O, Bull PC, Busby GBJ, Chookajorn T, Chotivanich K, Claessens A, Conway D, Craig A, D'Alessandro U, Dama S, Day NPJ, Denis B, Diakite M, Djimdé A, Dolecek C, Dondorp AM, Drakeley C, Drury E, Duffy P, Echeverry DF, Egwang TG, Erko B, Fairhurst RM, Faiz A, Fanello CA, Fukuda MM, Gamboa D, Ghansah A, Golassa L, Goncalves S, Hamilton WL, Harrison GLA, Hart L, Henrichs C, Hien TT, Hill CA, Hodgson A, Hubbart C, Imwong M, Ishengoma DS, Jackson SA, Jacob CG, Jeffery B, Jeffreys AE, Johnson KJ, Jyothi D, Kamaliddin C, Kamau E, Kekre M, Kluczynski K, Kochakarn T, Konaté A, Kwiatkowski DP, Kyaw MP, Lim P, Lon C, Loua KM, Maïga-Ascofaré O, Malangone C, Manske M, Marfurt J, Marsh K, Mayxay M, Miles A, Miotto O, Mobegi V, Mokuolu OA, Montgomery J, Mueller I, Newton PN, Nguyen T, Nguyen TN, Noedl H, Nosten F, Noviyanti R, Nzila A, Ochola-Oyier LI, Ocholla H, Oduro A, Omedo I, Onyamboko MA, Ouedraogo JB, Oyebola K, Pearson RD, Peshu N, Phyo AP, Plowe CV, Price RN, Pukrittayakamee S, Randrianarivelojosia M, Rayner JC, Ringwald P, Rockett KA, Rowlands K, Ruiz L, Saunders D, Shayo A, Siba P, Simpson VJ, Stalker J, Su XZ, Sutherland C, Takala-Harrison S, Tavul L, Thathy V, Tshefu A, Verra F, Vinetz J, Wellems TE, Wendler J, White NJ, Wright I, Yavo W, Ye H. An open dataset of Plasmodium falciparum genome variation in 7,000 worldwide samples. Wellcome Open Res 2021; 6:42. [PMID: 33824913 PMCID: PMC8008441.2 DOI: 10.12688/wellcomeopenres.16168.2] [Citation(s) in RCA: 44] [Impact Index Per Article: 14.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/28/2021] [Indexed: 02/02/2023] Open
Abstract
MalariaGEN is a data-sharing network that enables groups around the world to work together on the genomic epidemiology of malaria. Here we describe a new release of curated genome variation data on 7,000 Plasmodium falciparum samples from MalariaGEN partner studies in 28 malaria-endemic countries. High-quality genotype calls on 3 million single nucleotide polymorphisms (SNPs) and short indels were produced using a standardised analysis pipeline. Copy number variants associated with drug resistance and structural variants that cause failure of rapid diagnostic tests were also analysed. Almost all samples showed genetic evidence of resistance to at least one antimalarial drug, and some samples from Southeast Asia carried markers of resistance to six commonly-used drugs. Genes expressed during the mosquito stage of the parasite life-cycle are prominent among loci that show strong geographic differentiation. By continuing to enlarge this open data resource we aim to facilitate research into the evolutionary processes affecting malaria control and to accelerate development of the surveillance toolkit required for malaria elimination.
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Affiliation(s)
| | | | - Mozam Ali
- Wellcome Sanger Institute, Hinxton, UK
| | - Jacob Almagro-Garcia
- Wellcome Sanger Institute, Hinxton, UK,MRC Centre for Genomics and Global Health, Big Data Institute, University of Oxford, Oxford, UK
| | - Alfred Amambua-Ngwa
- Wellcome Sanger Institute, Hinxton, UK,Medical Research Council Unit The Gambia, at the London School of Hygiene and Tropical Medicine, Banjul, The Gambia
| | - Chanaki Amaratunga
- National Institute of Allergy and Infectious Diseases (NIAID), NIH, Bethesda, USA
| | - Roberto Amato
- Wellcome Sanger Institute, Hinxton, UK,MRC Centre for Genomics and Global Health, Big Data Institute, University of Oxford, Oxford, UK
| | - Lucas Amenga-Etego
- Navrongo Health Research Centre, Ghana Health Service, Navrongo, Ghana,West African Centre for Cell Biology of Infectious Pathogens (WACCBIP), University of Ghana, Accra, Ghana
| | - Ben Andagalu
- United States Army Medical Research Directorate-Africa, Kenya Medical Research Institute/Walter Reed Project, Kisumu, Kenya
| | | | | | | | | | - Elizabeth A Ashley
- Mahidol-Oxford Tropical Medicine Research Unit (MORU), Bangkok, Thailand
| | - Sarah Auburn
- Menzies School of Health Research, Darwin, Australia,Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Gordon A. Awandare
- West African Centre for Cell Biology of Infectious Pathogens (WACCBIP), University of Ghana, Accra, Ghana,University of Ghana, Legon, Ghana
| | - Hampate Ba
- Institut National de Recherche en Santé Publique, Nouakchott, Mauritania
| | - Vito Baraka
- National Institute for Medical Research (NIMR), Dar es Salaam, Tanzania,Department of Epidemiology, International Health Unit, University of Antwerp, Antwerp, Belgium
| | - Alyssa E. Barry
- Deakin University, Geelong, Australia,Burnet Institute, Melbourne, Australia,Walter and Eliza Hall Institute, Melbourne, Australia
| | - Philip Bejon
- KEMRI Wellcome Trust Research Programme, Kilifi, Kenya
| | | | - Maciej F. Boni
- Nuffield Department of Medicine, University of Oxford, Oxford, UK,Oxford University Clinical Research Unit (OUCRU), Ho Chi Minh City, Vietnam
| | - Steffen Borrmann
- Institute for Tropical Medicine, University of Tübingen, Tübingen, Germany
| | - Teun Bousema
- London School of Hygiene and Tropical Medicine, London, UK,Radboud University Medical Center, Nijmegen, The Netherlands
| | - Oralee Branch
- NYU School of Medicine Langone Medical Center, New York, USA
| | - Peter C. Bull
- KEMRI Wellcome Trust Research Programme, Kilifi, Kenya,Department of Pathology, University of Cambridge, Cambridge, UK
| | - George B. J. Busby
- MRC Centre for Genomics and Global Health, Big Data Institute, University of Oxford, Oxford, UK
| | | | | | - Antoine Claessens
- Medical Research Council Unit The Gambia, at the London School of Hygiene and Tropical Medicine, Banjul, The Gambia,LPHI, MIVEGEC, INSERM, CNRS, IRD, University of Montpellier, Montpellier, France
| | - David Conway
- London School of Hygiene and Tropical Medicine, London, UK
| | - Alister Craig
- Liverpool School of Tropical Medicine, Liverpool, UK,Malawi-Liverpool-Wellcome Trust Clinical Research, Blantyre, Malawi
| | - Umberto D'Alessandro
- Medical Research Council Unit The Gambia, at the London School of Hygiene and Tropical Medicine, Banjul, The Gambia
| | - Souleymane Dama
- Malaria Research and Training Centre, University of Science, Techniques and Technologies of Bamako, Bamako, Mali
| | - Nicholas PJ Day
- Mahidol-Oxford Tropical Medicine Research Unit (MORU), Bangkok, Thailand
| | - Brigitte Denis
- Malawi-Liverpool-Wellcome Trust Clinical Research, Blantyre, Malawi
| | - Mahamadou Diakite
- Malaria Research and Training Centre, University of Science, Techniques and Technologies of Bamako, Bamako, Mali
| | - Abdoulaye Djimdé
- Malaria Research and Training Centre, University of Science, Techniques and Technologies of Bamako, Bamako, Mali
| | | | - Arjen M Dondorp
- Mahidol-Oxford Tropical Medicine Research Unit (MORU), Bangkok, Thailand
| | - Chris Drakeley
- London School of Hygiene and Tropical Medicine, London, UK
| | | | - Patrick Duffy
- National Institute of Allergy and Infectious Diseases (NIAID), NIH, Bethesda, USA
| | - Diego F. Echeverry
- Centro Internacional de Entrenamiento e Investigaciones Médicas - CIDEIM, Cali, Colombia,Universidad Icesi, Cali, Colombia
| | | | - Berhanu Erko
- Aklilu Lemma Institute of Pathobiology, Addis Ababa University, Addis Ababa, Ethiopia
| | | | | | | | - Mark M. Fukuda
- Department of Immunology and Medicine, US Army Medical Component, Armed Forces Research Institute of Medical Sciences (USAMC-AFRIMS), Bangkok, Thailand
| | - Dionicia Gamboa
- Laboratorio ICEMR-Amazonia, Laboratorios de Investigacion y Desarrollo, Facultad de Ciencias y Filosofia, Universidad Peruana Cayetano Heredia, Lima, Peru
| | - Anita Ghansah
- Nogouchi Memorial Institute for Medical Research, Legon-Accra, Ghana
| | - Lemu Golassa
- Aklilu Lemma Institute of Pathobiology, Addis Ababa University, Addis Ababa, Ethiopia
| | | | - William L. Hamilton
- Wellcome Sanger Institute, Hinxton, UK,Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | | | - Lee Hart
- MRC Centre for Genomics and Global Health, Big Data Institute, University of Oxford, Oxford, UK
| | - Christa Henrichs
- MRC Centre for Genomics and Global Health, Big Data Institute, University of Oxford, Oxford, UK
| | - Tran Tinh Hien
- Oxford University Clinical Research Unit (OUCRU), Ho Chi Minh City, Vietnam,Centre for Tropical Medicine and Global Health, University of Oxford, Oxford, UK
| | | | | | - Christina Hubbart
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
| | | | - Deus S. Ishengoma
- National Institute for Medical Research (NIMR), Dar es Salaam, Tanzania,East African Consortium for Clinical Research (EACCR), Dar es Salaam, Tanzania
| | - Scott A. Jackson
- Center for Applied Genetic Technologies, University of Georgia, Athens, GA, USA
| | | | - Ben Jeffery
- MRC Centre for Genomics and Global Health, Big Data Institute, University of Oxford, Oxford, UK
| | - Anna E. Jeffreys
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Kimberly J. Johnson
- MRC Centre for Genomics and Global Health, Big Data Institute, University of Oxford, Oxford, UK
| | | | | | - Edwin Kamau
- Walter Reed Army Institute of Research, U.S. Military HIV Research Program, Silver Spring, MD, USA
| | | | - Krzysztof Kluczynski
- MRC Centre for Genomics and Global Health, Big Data Institute, University of Oxford, Oxford, UK
| | - Theerarat Kochakarn
- Wellcome Sanger Institute, Hinxton, UK,Mahidol University, Bangkok, Thailand
| | | | - Dominic P. Kwiatkowski
- Wellcome Sanger Institute, Hinxton, UK,MRC Centre for Genomics and Global Health, Big Data Institute, University of Oxford, Oxford, UK,Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Myat Phone Kyaw
- The Myanmar Oxford Clinical Research Unit, University of Oxford, Yangon, Myanmar,University of Public Health, Yangon, Myanmar
| | - Pharath Lim
- National Institute of Allergy and Infectious Diseases (NIAID), NIH, Bethesda, USA,Medical Care Development International, Maryland, USA
| | - Chanthap Lon
- Department of Immunology and Medicine, US Army Medical Component, Armed Forces Research Institute of Medical Sciences (USAMC-AFRIMS), Bangkok, Thailand
| | | | - Oumou Maïga-Ascofaré
- Malaria Research and Training Centre, University of Science, Techniques and Technologies of Bamako, Bamako, Mali,Bernhard Nocht Institute for Tropical Medicine, Hamburg, Germany,Research in Tropical Medicine, Kwame Nkrumah University of Sciences and Technology, Kumasi, Ghana
| | | | | | - Jutta Marfurt
- Menzies School of Health Research, Darwin, Australia
| | - Kevin Marsh
- Nuffield Department of Medicine, University of Oxford, Oxford, UK,African Academy of Sciences, Nairobi, Kenya
| | - Mayfong Mayxay
- Lao-Oxford-Mahosot Hospital-Wellcome Trust Research Unit (LOMWRU), Vientiane, Lao People's Democratic Republic,Institute of Research and Education Development (IRED), University of Health Sciences, Ministry of Health, Vientiane, Lao People's Democratic Republic
| | - Alistair Miles
- Wellcome Sanger Institute, Hinxton, UK,MRC Centre for Genomics and Global Health, Big Data Institute, University of Oxford, Oxford, UK
| | - Olivo Miotto
- Wellcome Sanger Institute, Hinxton, UK,MRC Centre for Genomics and Global Health, Big Data Institute, University of Oxford, Oxford, UK,Mahidol-Oxford Tropical Medicine Research Unit (MORU), Bangkok, Thailand
| | - Victor Mobegi
- School of Medicine, University of Nairobi, Nairobi, Kenya
| | - Olugbenga A. Mokuolu
- Department of Paediatrics and Child Health, University of Ilorin, Ilorin, Nigeria
| | - Jacqui Montgomery
- Institute of Vector-Borne Disease, Monash University, Clayton, Victoria, 3800, Australia
| | - Ivo Mueller
- Walter and Eliza Hall Institute, Melbourne, Australia,Barcelona Centre for International Health Research, Barcelona, Spain
| | - Paul N. Newton
- Wellcome Trust-Mahosot Hospital-Oxford Tropical Medicine Research Collaboration, Vientiane, Lao People's Democratic Republic
| | | | - Thuy-Nhien Nguyen
- Oxford University Clinical Research Unit (OUCRU), Ho Chi Minh City, Vietnam
| | - Harald Noedl
- MARIB - Malaria Research Initiative Bandarban, Bandarban, Bangladesh
| | - Francois Nosten
- Nuffield Department of Medicine, University of Oxford, Oxford, UK,Shoklo Malaria Research Unit, Bangkok, Thailand
| | | | - Alexis Nzila
- King Fahid University of Petroleum and Minerals (KFUMP), Dharhran, Saudi Arabia
| | | | - Harold Ocholla
- KEMRI - Centres for Disease Control and Prevention (CDC) Research Program, Kisumu, Kenya,Centre for Bioinformatics and Biotechnology, University of Nairobi, Nairobi, Kenya
| | - Abraham Oduro
- Navrongo Health Research Centre, Ghana Health Service, Navrongo, Ghana
| | - Irene Omedo
- KEMRI Wellcome Trust Research Programme, Kilifi, Kenya
| | - Marie A. Onyamboko
- Kinshasa School of Public Health, University of Kinshasa, Kinshasa, Congo, Democratic Republic
| | | | - Kolapo Oyebola
- Nigerian Institute of Medical Research, Lagos, Nigeria,Parasitology and Bioinformatics Unit, Faculty of Science, University of Lagos, Lagos, Nigeria
| | - Richard D. Pearson
- Wellcome Sanger Institute, Hinxton, UK,MRC Centre for Genomics and Global Health, Big Data Institute, University of Oxford, Oxford, UK
| | - Norbert Peshu
- KEMRI Wellcome Trust Research Programme, Kilifi, Kenya
| | - Aung Pyae Phyo
- Mahidol-Oxford Tropical Medicine Research Unit (MORU), Bangkok, Thailand,Shoklo Malaria Research Unit, Bangkok, Thailand
| | - Chris V. Plowe
- School of Medicine, University of Maryland, Baltimore, MD, USA
| | - Ric N. Price
- Mahidol-Oxford Tropical Medicine Research Unit (MORU), Bangkok, Thailand,Menzies School of Health Research, Darwin, Australia,Centre for Tropical Medicine and Global Health, University of Oxford, Oxford, UK
| | | | - Milijaona Randrianarivelojosia
- Institut Pasteur de Madagascar, Antananarivo, Madagascar,Universités d'Antananarivo et de Mahajanga, Antananarivo, Madagascar
| | | | | | - Kirk A. Rockett
- Wellcome Sanger Institute, Hinxton, UK,Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
| | | | - Lastenia Ruiz
- Universidad Nacional de la Amazonia Peruana, Iquitos, Peru
| | - David Saunders
- Department of Immunology and Medicine, US Army Medical Component, Armed Forces Research Institute of Medical Sciences (USAMC-AFRIMS), Bangkok, Thailand
| | - Alex Shayo
- Nelson Mandela Institute of Science and Technology, Arusha, Tanzania
| | - Peter Siba
- Papua New Guinea Institute of Medical Research, Goroka, Papua New Guinea
| | - Victoria J. Simpson
- MRC Centre for Genomics and Global Health, Big Data Institute, University of Oxford, Oxford, UK
| | | | - Xin-zhuan Su
- National Institute of Allergy and Infectious Diseases (NIAID), NIH, Bethesda, USA
| | | | - Shannon Takala-Harrison
- Center for Vaccine Development and Global Health, University of Maryland, School of Medicine, Baltimore, MD, USA
| | - Livingstone Tavul
- Papua New Guinea Institute of Medical Research, Goroka, Papua New Guinea
| | - Vandana Thathy
- KEMRI Wellcome Trust Research Programme, Kilifi, Kenya,Department of Microbiology and Immunology, Columbia University Irving Medical Center, New York, New York, USA
| | | | | | - Joseph Vinetz
- Laboratorio ICEMR-Amazonia, Laboratorios de Investigacion y Desarrollo, Facultad de Ciencias y Filosofia, Universidad Peruana Cayetano Heredia, Lima, Peru,Yale School of Medicine, New Haven, CT, USA
| | - Thomas E. Wellems
- National Institute of Allergy and Infectious Diseases (NIAID), NIH, Bethesda, USA
| | - Jason Wendler
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Nicholas J. White
- Mahidol-Oxford Tropical Medicine Research Unit (MORU), Bangkok, Thailand
| | - Ian Wright
- MRC Centre for Genomics and Global Health, Big Data Institute, University of Oxford, Oxford, UK
| | - William Yavo
- University Félix Houphouët-Boigny, Abidjan, Cote d'Ivoire,Malaria Research and Control Center of the National Institute of Public Health, Abidjan, Cote d'Ivoire
| | - Htut Ye
- Department of Medical Research, Yangon, Myanmar
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Clark NF, Taylor-Robinson AW. An Ecologically Framed Comparison of The Potential for Zoonotic Transmission of Non-Human and Human-Infecting Species of Malaria Parasite. THE YALE JOURNAL OF BIOLOGY AND MEDICINE 2021; 94:361-373. [PMID: 34211355 PMCID: PMC8223545] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
The threats, both real and perceived, surrounding the development of new and emerging infectious diseases of humans are of critical concern to public health and well-being. Among these risks is the potential for zoonotic transmission to humans of species of the malaria parasite, Plasmodium, that have been considered historically to infect exclusively non-human hosts. Recently observed shifts in the mode, transmission, and presentation of malaria among several species studied are evidenced by shared vectors, atypical symptoms, and novel host-seeking behavior. Collectively, these changes indicate the presence of environmental and ecological pressures that are likely to influence the dynamics of these parasite life cycles and physiological make-up. These may be further affected and amplified by such factors as increased urban development and accelerated rate of climate change. In particular, the extended host-seeking behavior of what were once considered non-human malaria species indicates the specialist niche of human malaria parasites is not a limiting factor that drives the success of blood-borne parasites. While zoonotic transmission of non-human malaria parasites is generally considered to not be possible for the vast majority of Plasmodium species, failure to consider the feasibility of its occurrence may lead to the emergence of a potentially life-threatening blood-borne disease of humans. Here, we argue that recent trends in behavior among what were hitherto considered to be non-human malaria parasites to infect humans call for a cross-disciplinary, ecologically-focused approach to understanding the complexities of the vertebrate host/mosquito vector/malaria parasite triangular relationship. This highlights a pressing need to conduct a multi-species investigation for which we recommend the construction of a database to determine ecological differences among all known Plasmodium species, vectors, and hosts. Closing this knowledge gap may help to inform alternative means of malaria prevention and control.
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Affiliation(s)
- Nicole F. Clark
- Institute for Applied Ecology, University of Canberra,
Bruce, Australia,College of Medicine and Public Health, Flinders
University, Australia
| | - Andrew W. Taylor-Robinson
- Infectious Diseases Research Group, School of Health,
Medical & Applied Sciences, Central Queensland University, Brisbane,
Australia,College of Health & Human Sciences, Charles Darwin
University, Casuarina, Australia,To whom all correspondence should be addressed:
Prof Andrew W. Taylor-Robinson, Infectious Diseases Research Group, School of
Health, Medical & Applied Sciences, Central Queensland University, 160 Ann
Street, Brisbane, QLD 4000, Australia; Tel: +61 7 3295 1185;
; ORCID iD: https://orcid.org/0000-0001-7342-8348
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64
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Okombo J, Kanai M, Deni I, Fidock DA. Genomic and Genetic Approaches to Studying Antimalarial Drug Resistance and Plasmodium Biology. Trends Parasitol 2021; 37:476-492. [PMID: 33715941 PMCID: PMC8162148 DOI: 10.1016/j.pt.2021.02.007] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2020] [Revised: 02/11/2021] [Accepted: 02/12/2021] [Indexed: 12/14/2022]
Abstract
Recent progress in genomics and molecular genetics has empowered novel approaches to study gene functions in disease-causing pathogens. In the human malaria parasite Plasmodium falciparum, the application of genome-based analyses, site-directed genome editing, and genetic systems that allow for temporal and quantitative regulation of gene and protein expression have been invaluable in defining the genetic basis of antimalarial resistance and elucidating candidate targets to accelerate drug discovery efforts. Using examples from recent studies, we review applications of some of these approaches in advancing our understanding of Plasmodium biology and illustrate their contributions and limitations in characterizing parasite genomic loci associated with antimalarial drug responses.
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Affiliation(s)
- John Okombo
- Department of Microbiology & Immunology, Department of Medicine, Columbia University Irving Medical Center, New York, NY, USA
| | - Mariko Kanai
- Department of Microbiology & Immunology, Department of Medicine, Columbia University Irving Medical Center, New York, NY, USA
| | - Ioanna Deni
- Department of Microbiology & Immunology, Department of Medicine, Columbia University Irving Medical Center, New York, NY, USA
| | - David A Fidock
- Department of Microbiology & Immunology, Department of Medicine, Columbia University Irving Medical Center, New York, NY, USA; Division of Infectious Diseases, Department of Medicine, Columbia University Irving Medical Center, New York, NY, USA.
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65
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Pegoraro M, Weedall GD. Malaria in the 'Omics Era'. Genes (Basel) 2021; 12:genes12060843. [PMID: 34070769 PMCID: PMC8228830 DOI: 10.3390/genes12060843] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2021] [Revised: 05/24/2021] [Accepted: 05/27/2021] [Indexed: 12/26/2022] Open
Abstract
Genomics has revolutionised the study of the biology of parasitic diseases. The first Eukaryotic parasite to have its genome sequenced was the malaria parasite Plasmodium falciparum. Since then, Plasmodium genomics has continued to lead the way in the study of the genome biology of parasites, both in breadth—the number of Plasmodium species’ genomes sequenced—and in depth—massive-scale genome re-sequencing of several key species. Here, we review some of the insights into the biology, evolution and population genetics of Plasmodium gained from genome sequencing, and look at potential new avenues in the future genome-scale study of its biology.
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66
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Novel insights from the Plasmodium falciparum sporozoite-specific proteome by probabilistic integration of 26 studies. PLoS Comput Biol 2021; 17:e1008067. [PMID: 33930021 PMCID: PMC8115857 DOI: 10.1371/journal.pcbi.1008067] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2020] [Revised: 05/12/2021] [Accepted: 04/06/2021] [Indexed: 11/19/2022] Open
Abstract
Plasmodium species, the causative agent of malaria, have a complex life cycle involving two hosts. The sporozoite life stage is characterized by an extended phase in the mosquito salivary glands followed by free movement and rapid invasion of hepatocytes in the human host. This transmission stage has been the subject of many transcriptomics and proteomics studies and is also targeted by the most advanced malaria vaccine. We applied Bayesian data integration to determine which proteins are not only present in sporozoites but are also specific to that stage. Transcriptomic and proteomic Plasmodium data sets from 26 studies were weighted for how representative they are for sporozoites, based on a carefully assembled gold standard for Plasmodium falciparum (Pf) proteins known to be present or absent during the sporozoite life stage. Of 5418 Pf genes for which expression data were available at the RNA level or at the protein level, 975 were identified as enriched in sporozoites and 90 specific to them. We show that Pf sporozoites are enriched for proteins involved in type II fatty acid synthesis in the apicoplast and GPI anchor synthesis, but otherwise appear metabolically relatively inactive in the salivary glands of mosquitos. Newly annotated hypothetical sporozoite-specific and sporozoite-enriched proteins highlight sporozoite-specific functions. They include PF3D7_0104100 that we identified to be homologous to the prominin family, which in human has been related to a quiescent state of cancer cells. We document high levels of genetic variability for sporozoite proteins, specifically for sporozoite-specific proteins that elicit antibodies in the human host. Nevertheless, we can identify nine relatively well-conserved sporozoite proteins that elicit antibodies and that together can serve as markers for previous exposure. Our understanding of sporozoite biology benefits from identifying key pathways that are enriched during this life stage. This work can guide studies of molecular mechanisms underlying sporozoite biology and potential well-conserved targets for marker and drug development. When a person is bitten by an infectious malaria mosquito, sporozoites are injected into the skin with mosquito saliva. These sporozoites then travel to the liver, invade hepatocytes and multiply before the onset of the symptom-causing blood stage of malaria. By integrating published data, we contrast sporozoite protein expression with other life stages to filter out the unique features of sporozoites that help us understand this stage. We used a “guideline” that we derived from the literature on individual proteins so that we knew which proteins should be present or absent at the sporozoite stage, allowing us to weigh 26 data sets for their relevance to sporozoites. Among the newly discovered sporozoite-specific genes are candidates for fatty acid synthesis while others might play a role keeping the sporozoites in an inactive state in the mosquito salivary glands. Furthermore, we show that most sporozoite-specific proteins are genetically more variable than non-sporozoite proteins. We identify a set of conserved sporozoite proteins against which antibodies can serve as markers of recent exposure to sporozoites or that can serve as vaccine candidates. Our predictions of sporozoite-specific proteins and the assignment of previously unknown functions give new insights into the biology of this life stage.
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67
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Tandoh KZ, Amenga-Etego L, Quashie NB, Awandare G, Wilson M, Duah-Quashie NO. Plasmodium falciparum Malaria Parasites in Ghana Show Signatures of Balancing Selection at Artemisinin Resistance Predisposing Background Genes. Evol Bioinform Online 2021; 17:1176934321999640. [PMID: 33746510 PMCID: PMC7940735 DOI: 10.1177/1176934321999640] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2020] [Accepted: 02/05/2021] [Indexed: 11/16/2022] Open
Abstract
Sub-Saharan Africa is courting the risk of artemisinin resistance (ARTr) emerging in Plasmodium falciparum malaria parasites. Current molecular surveillance efforts for ARTr have been built on the utility of P. falciparum kelch13 (pfk13) validated molecular markers. However, whether these molecular markers will serve the purpose of early detection of artemisinin-resistant parasites in Ghana is hinged on a pfk13 dependent evolution. Here, we tested the hypothesis that the background pfk13 genome may be present before the pfk13 ARTr-conferring variant(s) is selected and that signatures of balancing selection on these genomic loci may serve as an early warning signal of ARTr. We analyzed 12 198 single nucleotide polymorphisms (SNPs) in Ghanaian clinical isolates in the Pf3K MalariaGEN dataset that passed a stringent filtering regimen. We identified signatures of balancing selection in 2 genes (phosphatidylinositol 4-kinase and chloroquine resistance transporter) previously reported as background loci for ARTr. These genes showed statistically significant and high positive values for Tajima's D, Fu and Li's F, and Fu and Li's D. This indicates that the biodiversity required to establish a pfk13 background genome may have been primed in clinical isolates of P. falciparum from Ghana as of 2010. Despite the absence of ARTr in Ghana to date, our finding supports the current use of pfk13 for molecular surveillance of ARTr in Ghana and highlights the potential utility of monitoring malaria parasite populations for balancing selection in ARTr precursor background genes as early warning molecular signatures for the emergence of ARTr.
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Affiliation(s)
- Kwesi Z Tandoh
- West African Centre for Cell Biology of Infectious Pathogens, Department of Biochemistry, Cell and Molecular Biology, College of Basic and Applied Sciences, University of Ghana, Accra, Ghana
| | - Lucas Amenga-Etego
- West African Centre for Cell Biology of Infectious Pathogens, Department of Biochemistry, Cell and Molecular Biology, College of Basic and Applied Sciences, University of Ghana, Accra, Ghana
| | - Neils B Quashie
- Department of Epidemiology, Noguchi Memorial Institute for Medical Research, College of Health Sciences, University of Ghana, Accra, Ghana.,Centre for Tropical Clinical Pharmacology and Therapeutics, School of Medicine and Dentistry, College of Health Sciences, University of Ghana, Accra, Ghana
| | - Gordon Awandare
- West African Centre for Cell Biology of Infectious Pathogens, Department of Biochemistry, Cell and Molecular Biology, College of Basic and Applied Sciences, University of Ghana, Accra, Ghana
| | - Michael Wilson
- Department of Parasitology, Noguchi Memorial Institute for Medical Research, College of Health sciences, University of Ghana, Accra, Ghana
| | - Nancy O Duah-Quashie
- Department of Epidemiology, Noguchi Memorial Institute for Medical Research, College of Health Sciences, University of Ghana, Accra, Ghana
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68
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Abera D, Kibet CK, Degefa T, Amenga-Etego L, Bargul JL, Golassa L. Genomic analysis reveals independent evolution of Plasmodium falciparum populations in Ethiopia. Malar J 2021; 20:129. [PMID: 33663492 PMCID: PMC7934276 DOI: 10.1186/s12936-021-03660-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2020] [Accepted: 02/20/2021] [Indexed: 11/12/2022] Open
Abstract
Background Plasmodium falciparum parasite populations in Ethiopia have been experiencing local selective pressures from drugs and immunity, leading to evolutionary adaptation. However, there was a paucity of data on genomic characterization and evolutionary adaptations of P. falciparum isolates from the central area of Ethiopia. Methods Whole-genome analysis of 25 P. falciparum isolates from central Ethiopia, specifically from West Arsi, were studied to determine their genetic diversity, population structures, and signatures of selection in known drug resistance alleles against global isolates from Cambodia, Thailand, DR Congo, and Malawi. Results A total of 18,517 high-quality single-nucleotide polymorphisms (SNPs) were identified in Ethiopian P. falciparum isolates. About 84% of the Ethiopian P. falciparum isolates had a FWS value > 0.95 showing a dominant single genotype infection in most isolates at the time of collection with little potential for out-crossing as expected in areas with low transmission intensity. Within-host diversity of Ethiopian infections was significantly different from East African (p < 0.001), but not Southeast Asian infections (P > 0.05). A significant population structure has been observed by PCA and population differentiation between Ethiopian parasites and East African (Fst ~ 10%) and Southeast Asian populations (Fst ~ 18%), suggesting limited gene flow and the independent evolution of the Ethiopian parasite population. Moreover, a total of 125 genes under balancing selection was found that include ama1, trap, eba175, and lsa3, previously identified as targets of human host immunity. Recent directional selection analysis using integrated standardized haplotype score (IHS) did not detect any selection signatures in the Pfcrt, Pfdhfr, Pfdhps, Pfmdr1, and PfK13 genes. However, known drug resistance-conferring mutations analysis showed that at least one SNP marker was fixed in these genes, but not in Pfdhps and PfK13. Conclusion Plasmodium falciparum populations in the central region of Ethiopia was structurally diverged from both Southeast Asian and other East African populations. Malaria infections in Ethiopia had low within-host diversity, and parasites carry fixed chloroquine resistance markers despite the withdrawal of this drug for the treatment of P. falciparum. Supplementary Information The online version contains supplementary material available at 10.1186/s12936-021-03660-y.
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Affiliation(s)
- Deriba Abera
- Department of Biochemistry, College of Health Sciences, Jomo Kenyatta University of Agriculture and Technology, Nairobi, Kenya.,School of Medical Laboratory Sciences, Faculty of Health Sciences, Jimma University, Jimma, Ethiopia
| | - Caleb K Kibet
- International Centre of Insect Physiology and Ecology, Nairobi, Kenya
| | - Teshome Degefa
- School of Medical Laboratory Sciences, Faculty of Health Sciences, Jimma University, Jimma, Ethiopia
| | - Lucas Amenga-Etego
- West African Centre for Cell Biology of Infectious Pathogens (WACCBIP), University of Ghana, Accra, Ghana
| | - Joel L Bargul
- Department of Biochemistry, College of Health Sciences, Jomo Kenyatta University of Agriculture and Technology, Nairobi, Kenya.,International Centre of Insect Physiology and Ecology, Nairobi, Kenya
| | - Lemu Golassa
- Aklilu Lemma Institute of Pathobiology, Addis Ababa University, Addis Ababa, Ethiopia.
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69
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Tonkin-Hill G, Ruybal-Pesántez S, Tiedje KE, Rougeron V, Duffy MF, Zakeri S, Pumpaibool T, Harnyuttanakorn P, Branch OH, Ruiz-Mesía L, Rask TS, Prugnolle F, Papenfuss AT, Chan YB, Day KP. Evolutionary analyses of the major variant surface antigen-encoding genes reveal population structure of Plasmodium falciparum within and between continents. PLoS Genet 2021; 17:e1009269. [PMID: 33630855 PMCID: PMC7906310 DOI: 10.1371/journal.pgen.1009269] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2020] [Accepted: 11/10/2020] [Indexed: 11/18/2022] Open
Abstract
Malaria remains a major public health problem in many countries. Unlike influenza and HIV, where diversity in immunodominant surface antigens is understood geographically to inform disease surveillance, relatively little is known about the global population structure of PfEMP1, the major variant surface antigen of the malaria parasite Plasmodium falciparum. The complexity of the var multigene family that encodes PfEMP1 and that diversifies by recombination, has so far precluded its use in malaria surveillance. Recent studies have demonstrated that cost-effective deep sequencing of the region of var genes encoding the PfEMP1 DBLα domain and subsequent classification of within host sequences at 96% identity to define unique DBLα types, can reveal structure and strain dynamics within countries. However, to date there has not been a comprehensive comparison of these DBLα types between countries. By leveraging a bioinformatic approach (jumping hidden Markov model) designed specifically for the analysis of recombination within var genes and applying it to a dataset of DBLα types from 10 countries, we are able to describe population structure of DBLα types at the global scale. The sensitivity of the approach allows for the comparison of the global dataset to ape samples of Plasmodium Laverania species. Our analyses show that the evolution of the parasite population emerging out of Africa underlies current patterns of DBLα type diversity. Most importantly, we can distinguish geographic population structure within Africa between Gabon and Ghana in West Africa and Uganda in East Africa. Our evolutionary findings have translational implications in the context of globalization. Firstly, DBLα type diversity can provide a simple diagnostic framework for geographic surveillance of the rapidly evolving transmission dynamics of P. falciparum. It can also inform efforts to understand the presence or absence of global, regional and local population immunity to major surface antigen variants. Additionally, we identify a number of highly conserved DBLα types that are present globally that may be of biological significance and warrant further characterization.
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Affiliation(s)
- Gerry Tonkin-Hill
- School of BioSciences, Bio21 Institute, The University of Melbourne, Melbourne, Australia
- Bioinformatics Division, Walter and Eliza Hall Institute, Melbourne, Australia
- Parasites and Microbes, Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, United Kingdom
| | - Shazia Ruybal-Pesántez
- School of BioSciences, Bio21 Institute, The University of Melbourne, Melbourne, Australia
| | - Kathryn E. Tiedje
- School of BioSciences, Bio21 Institute, The University of Melbourne, Melbourne, Australia
- Department of Microbiology and Immunology, Bio21 Institute and Peter Doherty Institute, The University of Melbourne, Melbourne, Australia
| | - Virginie Rougeron
- Laboratoire MIVEGEC, Université de Montpellier-CNRS-IRD, Montpellier, France
| | - Michael F. Duffy
- School of BioSciences, Bio21 Institute, The University of Melbourne, Melbourne, Australia
- Department of Microbiology and Immunology, Bio21 Institute and Peter Doherty Institute, The University of Melbourne, Melbourne, Australia
| | - Sedigheh Zakeri
- Malaria and Vector Research Group (MVRG), Biotechnology Research Center, Pasteur Institute of Iran, Tehran, Iran
| | - Tepanata Pumpaibool
- Biomedical Science, Graduate School, Chulalongkorn University, Bangkok, Thailand
- Malaria Research Programme, College of Public Health Science, Chulalongkorn University, Bangkok, Thailand
| | - Pongchai Harnyuttanakorn
- Malaria Research Programme, College of Public Health Science, Chulalongkorn University, Bangkok, Thailand
- Department of Biology, Faculty of Science, Chulalongkorn University, Bangkok, Thailand
| | - OraLee H. Branch
- Concordia University, Portland, Oregon, United States of America
- Universidad Nacional de la Amazonía Peruana, Iquitos, Perú
| | | | - Thomas S. Rask
- School of BioSciences, Bio21 Institute, The University of Melbourne, Melbourne, Australia
| | - Franck Prugnolle
- Laboratoire MIVEGEC, Université de Montpellier-CNRS-IRD, Montpellier, France
| | - Anthony T. Papenfuss
- Bioinformatics Division, Walter and Eliza Hall Institute, Melbourne, Australia
- School of Mathematics and Statistics, The University of Melbourne, Melbourne, Australia
- Peter MacCallum Cancer Centre, Victorian Comprehensive Cancer Centre, Melbourne, Australia
- Department of Medical Biology, The University of Melbourne, Melbourne, Australia
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, Australia
| | - Yao-ban Chan
- School of Mathematics and Statistics, The University of Melbourne, Melbourne, Australia
- Melbourne Integrative Genomics, The University of Melbourne, Melbourne, Australia
| | - Karen P. Day
- School of BioSciences, Bio21 Institute, The University of Melbourne, Melbourne, Australia
- Department of Microbiology and Immunology, Bio21 Institute and Peter Doherty Institute, The University of Melbourne, Melbourne, Australia
- * E-mail:
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70
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Guery MA, Claessens A. Order within chaos: Harnessing Plasmodium falciparum var gene extreme polymorphism for malaria epidemiology. PLoS Genet 2021; 17:e1009344. [PMID: 33630881 PMCID: PMC7906395 DOI: 10.1371/journal.pgen.1009344] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
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71
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Miguel-Blanco C, Murithi JM, Benavente ED, Angrisano F, Sala KA, van Schalkwyk DA, Vanaerschot M, Schwach F, Fuchter MJ, Billker O, Sutherland CJ, Campino SG, Clark TG, Blagborough AM, Fidock DA, Herreros E, Gamo FJ, Baum J, Delves MJ. The antimalarial efficacy and mechanism of resistance of the novel chemotype DDD01034957. Sci Rep 2021; 11:1888. [PMID: 33479319 PMCID: PMC7820608 DOI: 10.1038/s41598-021-81343-z] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2020] [Accepted: 12/18/2020] [Indexed: 11/09/2022] Open
Abstract
New antimalarial therapeutics are needed to ensure that malaria cases continue to be driven down, as both emerging parasite resistance to frontline chemotherapies and mosquito resistance to current insecticides threaten control programmes. Plasmodium, the apicomplexan parasite responsible for malaria, causes disease pathology through repeated cycles of invasion and replication within host erythrocytes (the asexual cycle). Antimalarial drugs primarily target this cycle, seeking to reduce parasite burden within the host as fast as possible and to supress recrudescence for as long as possible. Intense phenotypic drug screening efforts have identified a number of promising new antimalarial molecules. Particularly important is the identification of compounds with new modes of action within the parasite to combat existing drug resistance and suitable for formulation of efficacious combination therapies. Here we detail the antimalarial properties of DDD01034957-a novel antimalarial molecule which is fast-acting and potent against drug resistant strains in vitro, shows activity in vivo, and possesses a resistance mechanism linked to the membrane transporter PfABCI3. These data support further medicinal chemistry lead-optimization of DDD01034957 as a novel antimalarial chemical class and provide new insights to further reduce in vivo metabolic clearance.
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Affiliation(s)
| | - James M Murithi
- Department of Microbiology and Immunology, Columbia University Irving Medical Center, New York, NY, 10032, USA
| | - Ernest Diez Benavente
- Department of Infection Biology, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, WC1E 7HT, UK
| | - Fiona Angrisano
- Division of Microbiology and Parasitology, Department of Pathology, Cambridge University, Tennis Court Road, Cambridge, CB2 1QP, UK
| | - Katarzyna A Sala
- Department of Life Sciences, Imperial College London, South Kensington, London, SW7 2AZ, UK
| | - Donelly A van Schalkwyk
- Department of Infection Biology, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, WC1E 7HT, UK
| | - Manu Vanaerschot
- Department of Microbiology and Immunology, Columbia University Irving Medical Center, New York, NY, 10032, USA
| | - Frank Schwach
- Parasites and Microbes Programme, Wellcome Trust Sanger Institute, Hinxton, CB10 1SA, UK
| | - Matthew J Fuchter
- Department of Chemistry, Molecular Sciences Research Hub, Imperial College London, White City Campus, Wood Lane, London, W12 OBZ, UK
| | - Oliver Billker
- Parasites and Microbes Programme, Wellcome Trust Sanger Institute, Hinxton, CB10 1SA, UK
- Department of Molecular Biology, The Laboratory for Molecular Infection Medicine Sweden (MIMS), Umeå University, 901 87, Umeå, Sweden
| | - Colin J Sutherland
- Department of Infection Biology, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, WC1E 7HT, UK
| | - Susana G Campino
- Department of Infection Biology, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, WC1E 7HT, UK
| | - Taane G Clark
- Department of Infection Biology, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, WC1E 7HT, UK
| | - Andrew M Blagborough
- Division of Microbiology and Parasitology, Department of Pathology, Cambridge University, Tennis Court Road, Cambridge, CB2 1QP, UK
- Department of Life Sciences, Imperial College London, South Kensington, London, SW7 2AZ, UK
| | - David A Fidock
- Department of Microbiology and Immunology, Columbia University Irving Medical Center, New York, NY, 10032, USA
- Division of Infectious Diseases, Department of Medicine, Columbia University Irving Medical Center, New York, NY, 10032, USA
| | - Esperanza Herreros
- Global Health, GlaxoSmithKline, Tres Cantos, 28760, Madrid, Spain
- Medicines for Malaria Venture, 20 Route de Pré-Bois, 1215, Geneva 15, Switzerland
| | | | - Jake Baum
- Department of Life Sciences, Imperial College London, South Kensington, London, SW7 2AZ, UK
| | - Michael J Delves
- Department of Infection Biology, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, WC1E 7HT, UK.
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72
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Host genetics and infectious disease: new tools, insights and translational opportunities. Nat Rev Genet 2020; 22:137-153. [PMID: 33277640 PMCID: PMC7716795 DOI: 10.1038/s41576-020-00297-6] [Citation(s) in RCA: 74] [Impact Index Per Article: 18.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/14/2020] [Indexed: 12/22/2022]
Abstract
Understanding how human genetics influence infectious disease susceptibility offers the opportunity for new insights into pathogenesis, potential drug targets, risk stratification, response to therapy and vaccination. As new infectious diseases continue to emerge, together with growing levels of antimicrobial resistance and an increasing awareness of substantial differences between populations in genetic associations, the need for such work is expanding. In this Review, we illustrate how our understanding of the host–pathogen relationship is advancing through holistic approaches, describing current strategies to investigate the role of host genetic variation in established and emerging infections, including COVID-19, the need for wider application to diverse global populations mirroring the burden of disease, the impact of pathogen and vector genetic diversity and a broad array of immune and inflammation phenotypes that can be mapped as traits in health and disease. Insights from study of inborn errors of immunity and multi-omics profiling together with developments in analytical methods are further advancing our knowledge of this important area. Infectious diseases are an ever-present global threat. In this Review, Kwok, Mentzer and Knight discuss our latest understanding of how human genetics influence susceptibility to disease. Furthermore, they discuss emerging progress in the interplay between host and pathogen genetics, molecular responses to infection and vaccination, and opportunities to bring these aspects together for rapid responses to emerging diseases such as COVID-19.
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73
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Turkiewicz A, Manko E, Sutherland CJ, Diez Benavente E, Campino S, Clark TG. Genetic diversity of the Plasmodium falciparum GTP-cyclohydrolase 1, dihydrofolate reductase and dihydropteroate synthetase genes reveals new insights into sulfadoxine-pyrimethamine antimalarial drug resistance. PLoS Genet 2020; 16:e1009268. [PMID: 33382691 PMCID: PMC7774857 DOI: 10.1371/journal.pgen.1009268] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2020] [Accepted: 11/10/2020] [Indexed: 12/13/2022] Open
Abstract
Plasmodium falciparum parasites resistant to antimalarial treatments have hindered malaria disease control. Sulfadoxine-pyrimethamine (SP) was used globally as a first-line treatment for malaria after wide-spread resistance to chloroquine emerged and, although replaced by artemisinin combinations, is currently used as intermittent preventive treatment of malaria in pregnancy and in young children as part of seasonal malaria chemoprophylaxis in sub-Saharan Africa. The emergence of SP-resistant parasites has been predominantly driven by cumulative build-up of mutations in the dihydrofolate reductase (pfdhfr) and dihydropteroate synthetase (pfdhps) genes, but additional amplifications in the folate pathway rate-limiting pfgch1 gene and promoter, have recently been described. However, the genetic make-up and prevalence of those amplifications is not fully understood. We analyse the whole genome sequence data of 4,134 P. falciparum isolates across 29 malaria endemic countries, and reveal that the pfgch1 gene and promoter amplifications have at least ten different forms, occurring collectively in 23% and 34% in Southeast Asian and African isolates, respectively. Amplifications are more likely to be present in isolates with a greater accumulation of pfdhfr and pfdhps substitutions (median of 1 additional mutations; P<0.00001), and there was evidence that the frequency of pfgch1 variants may be increasing in some African populations, presumably under the pressure of SP for chemoprophylaxis and anti-folate containing antibiotics used for the treatment of bacterial infections. The selection of P. falciparum with pfgch1 amplifications may enhance the fitness of parasites with pfdhfr and pfdhps substitutions, potentially threatening the efficacy of this regimen for prevention of malaria in vulnerable groups. Our work describes new pfgch1 amplifications that can be used to inform the surveillance of SP drug resistance, its prophylactic use, and future experimental work to understand functional mechanisms.
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Affiliation(s)
- Anna Turkiewicz
- Department of Infection Biology, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Emilia Manko
- Department of Infection Biology, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Colin J. Sutherland
- Department of Infection Biology, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Ernest Diez Benavente
- Department of Infection Biology, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Susana Campino
- Department of Infection Biology, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Taane G. Clark
- Department of Infection Biology, London School of Hygiene and Tropical Medicine, London, United Kingdom
- Department of Infectious Disease Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom
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74
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Moser KA, Madebe RA, Aydemir O, Chiduo MG, Mandara CI, Rumisha SF, Chaky F, Denton M, Marsh PW, Verity R, Watson OJ, Ngasala B, Mkude S, Molteni F, Njau R, Warsame M, Mandike R, Kabanywanyi AM, Mahende MK, Kamugisha E, Ahmed M, Kavishe RA, Greer G, Kitojo CA, Reaves EJ, Mlunde L, Bishanga D, Mohamed A, Juliano JJ, Ishengoma DS, Bailey JA. Describing the current status of Plasmodium falciparum population structure and drug resistance within mainland Tanzania using molecular inversion probes. Mol Ecol 2020; 30:100-113. [PMID: 33107096 DOI: 10.1111/mec.15706] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2020] [Revised: 09/25/2020] [Accepted: 10/13/2020] [Indexed: 02/05/2023]
Abstract
High-throughput Plasmodium genomic data is increasingly useful in assessing prevalence of clinically important mutations and malaria transmission patterns. Understanding parasite diversity is important for identification of specific human or parasite populations that can be targeted by control programmes, and to monitor the spread of mutations associated with drug resistance. An up-to-date understanding of regional parasite population dynamics is also critical to monitor the impact of control efforts. However, this data is largely absent from high-burden nations in Africa, and to date, no such analysis has been conducted for malaria parasites in Tanzania countrywide. To this end, over 1,000 P. falciparum clinical isolates were collected in 2017 from 13 sites in seven administrative regions across Tanzania, and parasites were genotyped at 1,800 variable positions genome-wide using molecular inversion probes. Population structure was detectable among Tanzanian P. falciparum parasites, approximately separating parasites from the northern and southern districts and identifying genetically admixed populations in the north. Isolates from nearby districts were more likely to be genetically related compared to parasites sampled from more distant districts. Known drug resistance mutations were seen at increased frequency in northern districts (including two infections carrying pfk13-R561H), and additional variants with undetermined significance for antimalarial resistance also varied by geography. Malaria Indicator Survey (2017) data corresponded with genetic findings, including average region-level complexity-of-infection and malaria prevalence estimates. The parasite populations identified here provide important information on extant spatial patterns of genetic diversity of Tanzanian parasites, to which future surveys of genetic relatedness can be compared.
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Affiliation(s)
- Kara A Moser
- Institute for Global Health and Infectious Diseases, University of North Carolina Chapel Hill, Chapel Hill, NC, USA
| | | | - Ozkan Aydemir
- Department of Pathology and Laboratory Medicine, Brown University, Providence, RI, USA
| | - Mercy G Chiduo
- National Institute for Medical Research, Tanga, Tanzania
| | - Celine I Mandara
- National Institute for Medical Research, Tanga, Tanzania.,Kilimanjaro Christian Medical Centre/Kilimanjaro Christian Medical University College, Moshi, Tanzania
| | - Susan F Rumisha
- National Institute for Medical Research, Dar es Salaam, Tanzania
| | - Frank Chaky
- National Malaria Control Program (NMCP), Dodoma, Tanzania
| | - Madeline Denton
- Institute for Global Health and Infectious Diseases, University of North Carolina Chapel Hill, Chapel Hill, NC, USA
| | - Patrick W Marsh
- Department of Pathology and Laboratory Medicine, Brown University, Providence, RI, USA
| | - Robert Verity
- MRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, Imperial College London, London, UK
| | - Oliver J Watson
- Department of Pathology and Laboratory Medicine, Brown University, Providence, RI, USA.,MRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, Imperial College London, London, UK
| | - Billy Ngasala
- Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania
| | - Sigsbert Mkude
- National Malaria Control Program (NMCP), Dodoma, Tanzania
| | | | - Ritha Njau
- World Health Organization Country Office, Dar es Salaam, Tanzania
| | - Marian Warsame
- Gothenburg University, Gothenburg, Sweden.,Global Malaria Programme, World Health Organization, Geneva, Switzerland
| | - Renata Mandike
- National Malaria Control Program (NMCP), Dodoma, Tanzania
| | | | | | - Erasmus Kamugisha
- Catholic University of Health and Allied Sciences/Bugando Medical Centre, Mwanza, Tanzania
| | - Maimuna Ahmed
- Catholic University of Health and Allied Sciences/Bugando Medical Centre, Mwanza, Tanzania
| | - Reginald A Kavishe
- Kilimanjaro Christian Medical Centre/Kilimanjaro Christian Medical University College, Moshi, Tanzania
| | - George Greer
- U.S. President's Malaria Initiative, U.S. Agency for International Development, U.S. Embassy, Dar es Salaam, Tanzania
| | - Chonge A Kitojo
- U.S. President's Malaria Initiative, U.S. Agency for International Development, U.S. Embassy, Dar es Salaam, Tanzania
| | - Erik J Reaves
- U.S. President's Malaria Initiative, U.S. Agency for International Development, U.S. Embassy, Dar es Salaam, Tanzania
| | - Linda Mlunde
- Jhpiego/Boresha Afya Project, Dar es Salaam, Tanzania
| | | | - Ally Mohamed
- National Malaria Control Program (NMCP), Dodoma, Tanzania
| | - Jonathan J Juliano
- Institute for Global Health and Infectious Diseases, University of North Carolina Chapel Hill, Chapel Hill, NC, USA.,Curriculum in Genetics and Molecular Biology, University of North Carolina Chapel Hill, Chapel Hill, NC, USA.,Department of Epidemiology, Gillings School of Global Public Health, Chapel Hill, NC, USA
| | - Deus S Ishengoma
- National Institute for Medical Research, Dar es Salaam, Tanzania.,Faculty of Pharmaceutical Sciences, Monash University, Melbourne, Vic, Australia.,Harvard T.H. Chan School of Public health, Harvard University, Boston, MA, USA
| | - Jeffrey A Bailey
- Department of Pathology and Laboratory Medicine, Brown University, Providence, RI, USA
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75
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Diversify and Conquer: The Vaccine Escapism of Plasmodium falciparum. Microorganisms 2020; 8:microorganisms8111748. [PMID: 33171746 PMCID: PMC7694999 DOI: 10.3390/microorganisms8111748] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2020] [Revised: 11/02/2020] [Accepted: 11/05/2020] [Indexed: 12/14/2022] Open
Abstract
Over the last century, a great deal of effort and resources have been poured into the development of vaccines to protect against malaria, particularly targeting the most widely spread and deadly species of the human-infecting parasites: Plasmodium falciparum. Many of the known proteins the parasite uses to invade human cells have been tested as vaccine candidates. However, precisely because of the importance and immune visibility of these proteins, they tend to be very diverse, and in many cases redundant, which limits their efficacy in vaccine development. With the advent of genomics and constantly improving sequencing technologies, an increasingly clear picture is emerging of the vast genomic diversity of parasites from different geographic areas. This diversity is distributed throughout the genome and includes most of the vaccine candidates tested so far, playing an important role in the low efficacy achieved. Genomics is a powerful tool to search for genes that comply with the most desirable attributes of vaccine targets, allowing us to evaluate function, immunogenicity and also diversity in the worldwide parasite populations. Even predicting how this diversity might evolve and spread in the future becomes possible, and can inform novel vaccine efforts.
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76
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Capture-based enrichment of Theileria parva DNA enables full genome assembly of first buffalo-derived strain and reveals exceptional intra-specific genetic diversity. PLoS Negl Trop Dis 2020; 14:e0008781. [PMID: 33119590 PMCID: PMC7654785 DOI: 10.1371/journal.pntd.0008781] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2020] [Revised: 11/10/2020] [Accepted: 09/08/2020] [Indexed: 12/19/2022] Open
Abstract
Theileria parva is an economically important, intracellular, tick-transmitted parasite of cattle. A live vaccine against the parasite is effective against challenge from cattle-transmissible T. parva but not against genotypes originating from the African Cape buffalo, a major wildlife reservoir, prompting the need to characterize genome-wide variation within and between cattle- and buffalo-associated T. parva populations. Here, we describe a capture-based target enrichment approach that enables, for the first time, de novo assembly of nearly complete T. parva genomes derived from infected host cell lines. This approach has exceptionally high specificity and sensitivity and is successful for both cattle- and buffalo-derived T. parva parasites. De novo genome assemblies generated for cattle genotypes differ from the reference by ~54K single nucleotide polymorphisms (SNPs) throughout the 8.31 Mb genome, an average of 6.5 SNPs/kb. We report the first buffalo-derived T. parva genome, which is ~20 kb larger than the genome from the reference, cattle-derived, Muguga strain, and contains 25 new potential genes. The average non-synonymous nucleotide diversity (πN) per gene, between buffalo-derived T. parva and the Muguga strain, was 1.3%. This remarkably high level of genetic divergence is supported by an average Wright’s fixation index (FST), genome-wide, of 0.44, reflecting a degree of genetic differentiation between cattle- and buffalo-derived T. parva parasites more commonly seen between, rather than within, species. These findings present clear implications for vaccine development, further demonstrated by the ability to assemble nearly all known antigens in the buffalo-derived strain, which will be critical in design of next generation vaccines. The DNA capture approach used provides a clear advantage in specificity over alternative T. parva DNA enrichment methods used previously, such as those that utilize schizont purification, is less labor intensive, and enables in-depth comparative genomics in this apicomplexan parasite. An estimated 50 million cattle in sub-Saharan Africa are at risk of the deadly livestock disease East coast fever (ECF), caused by the parasite Theileria parva, which imposes tremendous economic hardship on smallholder farmers. An existing ECF vaccine protects against strains circulating among cattle, but not against T. parva derived from African Cape buffalo, its main wildlife carrier. Understanding this difference in protective efficacy requires characterization of the genetic diversity in T. parva strains associated with each mammalian host, a goal that has been hindered by the proliferation of T. parva in nucleated host cells, with much larger genomes. Here we adapted a sequence capture approach to target the whole parasite genome, enabling enrichment of parasite DNA over that of the host. Choices in protocol development resulted in nearly 100% parasite genome specificity and sensitivity, making this approach the most successful yet to generate T. parva genome sequence data in a high-throughput manner. The analyses uncovered a degree of genetic differentiation between cattle- and buffalo-derived genotypes that is akin to levels more commonly seen between species. This approach, which will enable an in-depth T. parva population genomics study from cattle and buffalo in the endemic regions, can easily be adapted to other intracellular pathogens.
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77
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Watson JA, Taylor AR, Ashley EA, Dondorp A, Buckee CO, White NJ, Holmes CC. A cautionary note on the use of unsupervised machine learning algorithms to characterise malaria parasite population structure from genetic distance matrices. PLoS Genet 2020; 16:e1009037. [PMID: 33035220 PMCID: PMC7577480 DOI: 10.1371/journal.pgen.1009037] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2020] [Revised: 10/21/2020] [Accepted: 08/08/2020] [Indexed: 11/20/2022] Open
Abstract
Genetic surveillance of malaria parasites supports malaria control programmes, treatment guidelines and elimination strategies. Surveillance studies often pose questions about malaria parasite ancestry (e.g. how antimalarial resistance has spread) and employ statistical methods that characterise parasite population structure. Many of the methods used to characterise structure are unsupervised machine learning algorithms which depend on a genetic distance matrix, notably principal coordinates analysis (PCoA) and hierarchical agglomerative clustering (HAC). PCoA and HAC are sensitive to both the definition of genetic distance and algorithmic specification. Importantly, neither algorithm infers malaria parasite ancestry. As such, PCoA and HAC can inform (e.g. via exploratory data visualisation and hypothesis generation), but not answer comprehensively, key questions about malaria parasite ancestry. We illustrate the sensitivity of PCoA and HAC using 393 Plasmodium falciparum whole genome sequences collected from Cambodia and neighbouring regions (where antimalarial resistance has emerged and spread recently) and we provide tentative guidance for the use and interpretation of PCoA and HAC in malaria parasite genetic epidemiology. This guidance includes a call for fully transparent and reproducible analysis pipelines that feature (i) a clearly outlined scientific question; (ii) a clear justification of analytical methods used to answer the scientific question along with discussion of any inferential limitations; (iii) publicly available genetic distance matrices when downstream analyses depend on them; and (iv) sensitivity analyses. To bridge the inferential disconnect between the output of non-inferential unsupervised learning algorithms and the scientific questions of interest, tailor-made statistical models are needed to infer malaria parasite ancestry. In the absence of such models speculative reasoning should feature only as discussion but not as results.
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Affiliation(s)
- James A. Watson
- Mahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand
- Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom
| | - Aimee R. Taylor
- Center for Communicable Disease Dynamics, Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, USA
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
| | - Elizabeth A. Ashley
- Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom
- Lao-Oxford-Mahosot Hospital Wellcome Trust Research Unit, Vientiane, Laos
| | - Arjen Dondorp
- Mahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand
- Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom
| | - Caroline O. Buckee
- Center for Communicable Disease Dynamics, Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Nicholas J. White
- Mahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand
- Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom
| | - Chris C. Holmes
- Department of Statistics, University of Oxford, Oxford, United Kingdom
- Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom
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78
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Tessema SK, Hathaway NJ, Teyssier NB, Murphy M, Chen A, Aydemir O, Duarte EM, Simone W, Colborn J, Saute F, Crawford E, Aide P, Bailey JA, Greenhouse B. Sensitive, highly multiplexed sequencing of microhaplotypes from the Plasmodium falciparum heterozygome. J Infect Dis 2020; 225:1227-1237. [PMID: 32840625 PMCID: PMC8974853 DOI: 10.1093/infdis/jiaa527] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2020] [Accepted: 08/24/2020] [Indexed: 01/28/2023] Open
Abstract
Background Targeted next-generation sequencing offers the potential for consistent, deep coverage of information-rich genomic regions to characterize polyclonal Plasmodium falciparum infections. However, methods to identify and sequence these genomic regions are currently limited. Methods A bioinformatic pipeline and multiplex methods were developed to identify and simultaneously sequence 100 targets and applied to dried blood spot (DBS) controls and field isolates from Mozambique. For comparison, whole-genome sequencing data were generated for the same controls. Results Using publicly available genomes, 4465 high-diversity genomic regions suited for targeted sequencing were identified, representing the P. falciparum heterozygome. For this study, 93 microhaplotypes with high diversity (median expected heterozygosity = 0.7) were selected along with 7 drug resistance loci. The sequencing method achieved very high coverage (median 99%), specificity (99.8%), and sensitivity (90% for haplotypes with 5% within sample frequency in dried blood spots with 100 parasites/µL). In silico analyses revealed that microhaplotypes provided much higher resolution to discriminate related from unrelated polyclonal infections than biallelic single-nucleotide polymorphism barcodes. Conclusions The bioinformatic and laboratory methods outlined here provide a flexible tool for efficient, low-cost, high-throughput interrogation of the P. falciparum genome, and can be tailored to simultaneously address multiple questions of interest in various epidemiological settings.
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Affiliation(s)
- Sofonias K Tessema
- EPPIcenter research program, Division of HIV, ID, and Global Medicine, Department of Medicine, University of California, San Francisco, CA, USA
| | - Nicholas J Hathaway
- Department of Medicine, University of Massachusetts Medical School, Worcester, Massachusetts
| | - Noam B Teyssier
- EPPIcenter research program, Division of HIV, ID, and Global Medicine, Department of Medicine, University of California, San Francisco, CA, USA
| | - Maxwell Murphy
- EPPIcenter research program, Division of HIV, ID, and Global Medicine, Department of Medicine, University of California, San Francisco, CA, USA
| | - Anna Chen
- EPPIcenter research program, Division of HIV, ID, and Global Medicine, Department of Medicine, University of California, San Francisco, CA, USA
| | - Ozkan Aydemir
- Department of Pathology and Laboratory Medicine, Brown University, Providence, RI, USA
| | - Elias M Duarte
- EPPIcenter research program, Division of HIV, ID, and Global Medicine, Department of Medicine, University of California, San Francisco, CA, USA
| | - Wilson Simone
- Centro de Investigação em Saúde de Manhiça (CISM), Manhiça, Mozambique
| | - James Colborn
- Clinton Health Access Initiative, Maputo, Mozambique
| | - Francisco Saute
- Centro de Investigação em Saúde de Manhiça (CISM), Manhiça, Mozambique
| | - Emily Crawford
- Chan Zuckerberg Biohub, San Francisco, California, United States
| | - Pedro Aide
- Centro de Investigação em Saúde de Manhiça (CISM), Manhiça, Mozambique
| | - Jeffrey A Bailey
- Department of Pathology and Laboratory Medicine, Brown University, Providence, RI, USA
| | - Bryan Greenhouse
- EPPIcenter research program, Division of HIV, ID, and Global Medicine, Department of Medicine, University of California, San Francisco, CA, USA.,Chan Zuckerberg Biohub, San Francisco, California, United States
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79
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Maraka M, Akala HM, Amolo AS, Juma D, Omariba D, Cheruiyot A, Opot B, Okello Okudo C, Mwakio E, Chemwor G, Juma JA, Okoth R, Yeda R, Andagalu B. A seven-year surveillance of epidemiology of malaria reveals travel and gender are the key drivers of dispersion of drug resistant genotypes in Kenya. PeerJ 2020; 8:e8082. [PMID: 32201636 PMCID: PMC7073242 DOI: 10.7717/peerj.8082] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2019] [Accepted: 10/21/2019] [Indexed: 11/20/2022] Open
Abstract
Malaria drug resistance is a global public health concern. Though parasite mutations have been associated with resistance, other factors could influence the resistance. A robust surveillance system is required to monitor and help contain the resistance. This study established the role of travel and gender in dispersion of chloroquine resistant genotypes in malaria epidemic zones in Kenya. A total of 1,776 individuals presenting with uncomplicated malaria at hospitals selected from four malaria transmission zones in Kenya between 2008 and 2014 were enrolled in a prospective surveillance study assessing the epidemiology of malaria drug resistance patterns. Demographic and clinical information per individual was obtained using a structured questionnaire. Further, 2 mL of blood was collected for malaria diagnosis, parasitemia quantification and molecular analysis. DNA extracted from dried blood spots collected from each of the individuals was genotyped for polymorphisms in Plasmodium falciparum chloroquine transporter gene (Pfcrt 76), Plasmodium falciparum multidrug resistant gene 1 (Pfmdr1 86 and Pfmdr1 184) regions that are putative drug resistance genes using both conventional polymerase chain reaction (PCR) and real-time PCR. The molecular and demographic data was analyzed using Stata version 13 (College Station, TX: StataCorp LP) while mapping of cases at the selected geographic zones was done in QGIS version 2.18. Chloroquine resistant (CQR) genotypes across gender revealed an association with chloroquine resistance by both univariate model (p = 0.027) and by multivariate model (p = 0.025), female as reference group in both models. Prior treatment with antimalarial drugs within the last 6 weeks before enrollment was associated with carriage of CQR genotype by multivariate model (p = 0.034). Further, a significant relationship was observed between travel and CQR carriage both by univariate model (p = 0.001) and multivariate model (p = 0.002). These findings suggest that gender and travel are significantly associated with chloroquine resistance. From a gender perspective, males are more likely to harbor resistant strains than females hence involved in strain dispersion. On the other hand, travel underscores the role of transport network in introducing spread of resistant genotypes, bringing in to focus the need to monitor gene flow and establish strategies to minimize the introduction of resistance strains by controlling malaria among frequent transporters.
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Affiliation(s)
- Moureen Maraka
- School of Health Sciences, Jaramogi Oginga Odinga University of Science and Technology, Bondo, Siaya, Kenya
- Department of Emerging Infectious Diseases (DEID), United States Army Medical Research Directorate-Africa Kenya (USAMRD-A Kenya)/Kenya Medical Research Institute (KEMRI), Kisumu, Kisumu, Kenya
| | - Hoseah M. Akala
- Department of Emerging Infectious Diseases (DEID), United States Army Medical Research Directorate-Africa Kenya (USAMRD-A Kenya)/Kenya Medical Research Institute (KEMRI), Kisumu, Kisumu, Kenya
| | - Asito S. Amolo
- School of Health Sciences, Jaramogi Oginga Odinga University of Science and Technology, Bondo, Siaya, Kenya
| | - Dennis Juma
- Department of Emerging Infectious Diseases (DEID), United States Army Medical Research Directorate-Africa Kenya (USAMRD-A Kenya)/Kenya Medical Research Institute (KEMRI), Kisumu, Kisumu, Kenya
| | - Duke Omariba
- Department of Emerging Infectious Diseases (DEID), United States Army Medical Research Directorate-Africa Kenya (USAMRD-A Kenya)/Kenya Medical Research Institute (KEMRI), Kisumu, Kisumu, Kenya
| | - Agnes Cheruiyot
- Department of Emerging Infectious Diseases (DEID), United States Army Medical Research Directorate-Africa Kenya (USAMRD-A Kenya)/Kenya Medical Research Institute (KEMRI), Kisumu, Kisumu, Kenya
| | - Benjamin Opot
- Department of Emerging Infectious Diseases (DEID), United States Army Medical Research Directorate-Africa Kenya (USAMRD-A Kenya)/Kenya Medical Research Institute (KEMRI), Kisumu, Kisumu, Kenya
| | - Charles Okello Okudo
- Department of Emerging Infectious Diseases (DEID), United States Army Medical Research Directorate-Africa Kenya (USAMRD-A Kenya)/Kenya Medical Research Institute (KEMRI), Kisumu, Kisumu, Kenya
| | - Edwin Mwakio
- Department of Emerging Infectious Diseases (DEID), United States Army Medical Research Directorate-Africa Kenya (USAMRD-A Kenya)/Kenya Medical Research Institute (KEMRI), Kisumu, Kisumu, Kenya
| | - Gladys Chemwor
- Department of Emerging Infectious Diseases (DEID), United States Army Medical Research Directorate-Africa Kenya (USAMRD-A Kenya)/Kenya Medical Research Institute (KEMRI), Kisumu, Kisumu, Kenya
| | - Jackline A. Juma
- Department of Emerging Infectious Diseases (DEID), United States Army Medical Research Directorate-Africa Kenya (USAMRD-A Kenya)/Kenya Medical Research Institute (KEMRI), Kisumu, Kisumu, Kenya
| | - Raphael Okoth
- Department of Emerging Infectious Diseases (DEID), United States Army Medical Research Directorate-Africa Kenya (USAMRD-A Kenya)/Kenya Medical Research Institute (KEMRI), Kisumu, Kisumu, Kenya
| | - Redemptah Yeda
- Department of Emerging Infectious Diseases (DEID), United States Army Medical Research Directorate-Africa Kenya (USAMRD-A Kenya)/Kenya Medical Research Institute (KEMRI), Kisumu, Kisumu, Kenya
| | - Ben Andagalu
- Department of Emerging Infectious Diseases (DEID), United States Army Medical Research Directorate-Africa Kenya (USAMRD-A Kenya)/Kenya Medical Research Institute (KEMRI), Kisumu, Kisumu, Kenya
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Modification of pfap2μ and pfubp1 Markedly Reduces Ring-Stage Susceptibility of Plasmodium falciparum to Artemisinin In Vitro. Antimicrob Agents Chemother 2019; 64:AAC.01542-19. [PMID: 31636063 DOI: 10.1128/aac.01542-19] [Citation(s) in RCA: 38] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2019] [Accepted: 10/10/2019] [Indexed: 12/26/2022] Open
Abstract
Management of uncomplicated malaria worldwide is threatened by the emergence in Asia of Plasmodium falciparum carrying variants of the pfk13 locus and exhibiting reduced susceptibility to artemisinin. Mutations in two other genes, ubp1 and ap2μ, are associated with artemisinin resistance in rodent malaria and with clinical failure of combination therapy in African malaria patients. Transgenic P. falciparum clones, each carrying orthologues of mutations in pfap2μ and pfubp1 associated with artemisinin resistance in Plasmodium chabaudi, were derived by Cas9 gene editing. Susceptibility to artemisinin and other antimalarial drugs was determined. Following exposure to 700 nM dihydroartemisinin in the ring-stage survival assay, we found strong evidence that transgenic parasites expressing the I592T variant (11% survival), but not the S160N variant (1% survival), of the AP2μ adaptin subunit were significantly less susceptible than the parental wild-type parasite population. The V3275F variant of UBP1, but not the V3306F variant, also displayed reduced susceptibility to dihydroartemisinin (8.5% survival versus 0.5% survival). AP2μ and UBP1 variants did not elicit reduced susceptibility to 48 h of exposure to artemisinin or to other antimalarial drugs. Therefore, variants of the AP2 adaptor complex μ-subunit and of the ubiquitin hydrolase UBP1 reduce in vitro artemisinin susceptibility at the early ring stage in P. falciparum These findings confirm the existence of multiple pathways to perturbation of either the mode of action of artemisinin, the parasite's adaptive mechanisms of resistance, or both. The cellular role of UBP1 and AP2μ in Plasmodium parasites should now be elucidated.
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81
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Sequencing for malaria diversity. Nat Rev Genet 2019; 20:629. [PMID: 31515539 DOI: 10.1038/s41576-019-0176-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
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Abstract
Updated analysis of
Plasmodium falciparum
malaria reveals markers of antimalarial resistance
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Affiliation(s)
- Carol Hopkins Sibley
- Department of Genome Sciences, University of Washington, Seattle, WA 98195-5065, USA
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