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    Asia-Pacific ICEMR: Understanding Malaria Transmission to Accelerate Malaria Elimination in the Asia Pacific Region
    Mueller, I ; Vantaux, A ; Karl, S ; Laman, M ; Witkowski, B ; Pepey, A ; Vinit, R ; White, M ; Barry, A ; Beeson, JG ; Robinson, LJ (AMER SOC TROP MED & HYGIENE, 2022-10)
    Gaining an in-depth understanding of malaria transmission requires integrated, multifaceted research approaches. The Asia-Pacific International Center of Excellence in Malaria Research (ICEMR) is applying specifically developed molecular and immunological assays, in-depth entomological assessments, and advanced statistical and mathematical modeling approaches to a rich series of longitudinal cohort and cross-sectional studies in Papua New Guinea and Cambodia. This is revealing both the essential contribution of forest-based transmission and the particular challenges posed by Plasmodium vivax to malaria elimination in Cambodia. In Papua New Guinea, these studies document the complex host-vector-parasite interactions that are underlying both the stunning reductions in malaria burden from 2006 to 2014 and the significant resurgence in transmission in 2016 to 2018. Here we describe the novel analytical, surveillance, molecular, and immunological tools that are being applied in our ongoing Asia-Pacific ICEMR research program.
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    A molecular barcode and web-based data analysis tool to identify imported Plasmodium vivax malaria
    Trimarsanto, H ; Amato, R ; Pearson, RD ; Sutanto, E ; Noviyanti, R ; Trianty, L ; Marfurt, J ; Pava, Z ; Echeverry, DF ; Lopera-Mesa, TM ; Montenegro, LM ; Tobon-Castano, A ; Grigg, MJ ; Barber, B ; William, T ; Anstey, NM ; Getachew, S ; Petros, B ; Aseffa, A ; Assefa, A ; Rahim, AG ; Chau, NH ; Hien, TT ; Alam, MS ; Khan, WA ; Ley, B ; Thriemer, K ; Wangchuck, S ; Hamedi, Y ; Adam, I ; Liu, Y ; Gao, Q ; Sriprawat, K ; Ferreira, MU ; Laman, M ; Barry, A ; Mueller, I ; Lacerda, MVG ; Llanos-Cuentas, A ; Krudsood, S ; Lon, C ; Mohammed, R ; Yilma, D ; Pereira, DB ; Espino, FEJ ; Chu, CS ; Velez, ID ; Namaik-larp, C ; Villegas, MF ; Green, JA ; Koh, G ; Rayner, JC ; Drury, E ; Goncalves, S ; Simpson, V ; Miotto, O ; Miles, A ; White, NJ ; Nosten, F ; Kwiatkowski, DP ; Price, RN ; Auburn, S (NATURE PORTFOLIO, 2022-12-23)
    Traditionally, patient travel history has been used to distinguish imported from autochthonous malaria cases, but the dormant liver stages of Plasmodium vivax confound this approach. Molecular tools offer an alternative method to identify, and map imported cases. Using machine learning approaches incorporating hierarchical fixation index and decision tree analyses applied to 799 P. vivax genomes from 21 countries, we identified 33-SNP, 50-SNP and 55-SNP barcodes (GEO33, GEO50 and GEO55), with high capacity to predict the infection's country of origin. The Matthews correlation coefficient (MCC) for an existing, commonly applied 38-SNP barcode (BR38) exceeded 0.80 in 62% countries. The GEO panels outperformed BR38, with median MCCs > 0.80 in 90% countries at GEO33, and 95% at GEO50 and GEO55. An online, open-access, likelihood-based classifier framework was established to support data analysis (vivaxGEN-geo). The SNP selection and classifier methods can be readily amended for other use cases to support malaria control programs.
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    VIVID A Web Application for Variant Interpretation and Visualization in Multi-dimensional Analyses
    Tichkule, S ; Myung, Y ; Naung, MT ; Ansell, BRE ; Guy, AJ ; Srivastava, N ; Mehra, S ; Caccio, SM ; Mueller, I ; Barry, AE ; van Oosterhout, C ; Pope, B ; Ascher, DB ; Jex, AR ; Teeling, E (OXFORD UNIV PRESS, 2022-09-01)
    Large-scale comparative genomics- and population genetic studies generate enormous amounts of polymorphism data in the form of DNA variants. Ultimately, the goal of many of these studies is to associate genetic variants to phenotypes or fitness. We introduce VIVID, an interactive, user-friendly web application that integrates a wide range of approaches for encoding genotypic to phenotypic information in any organism or disease, from an individual or population, in three-dimensional (3D) space. It allows mutation mapping and annotation, calculation of interactions and conservation scores, prediction of harmful effects, analysis of diversity and selection, and 3D visualization of genotypic information encoded in Variant Call Format on AlphaFold2 protein models. VIVID enables the rapid assessment of genes of interest in the study of adaptive evolution and the genetic load, and it helps prioritizing targets for experimental validation. We demonstrate the utility of VIVID by exploring the evolutionary genetics of the parasitic protist Plasmodium falciparum, revealing geographic variation in the signature of balancing selection in potential targets of functional antibodies.
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    An open dataset of Plasmodium vivax genome variation in 1,895 worldwide samples.
    MalariaGEN, ; Adam, I ; Alam, MS ; Alemu, S ; Amaratunga, C ; Amato, R ; Andrianaranjaka, V ; Anstey, NM ; Aseffa, A ; Ashley, E ; Assefa, A ; Auburn, S ; Barber, BE ; Barry, A ; Batista Pereira, D ; Cao, J ; Chau, NH ; Chotivanich, K ; Chu, C ; Dondorp, AM ; Drury, E ; Echeverry, DF ; Erko, B ; Espino, F ; Fairhurst, R ; Faiz, A ; Fernanda Villegas, M ; Gao, Q ; Golassa, L ; Goncalves, S ; Grigg, MJ ; Hamedi, Y ; Hien, TT ; Htut, Y ; Johnson, KJ ; Karunaweera, N ; Khan, W ; Krudsood, S ; Kwiatkowski, DP ; Lacerda, M ; Ley, B ; Lim, P ; Liu, Y ; Llanos-Cuentas, A ; Lon, C ; Lopera-Mesa, T ; Marfurt, J ; Michon, P ; Miotto, O ; Mohammed, R ; Mueller, I ; Namaik-Larp, C ; Newton, PN ; Nguyen, T-N ; Nosten, F ; Noviyanti, R ; Pava, Z ; Pearson, RD ; Petros, B ; Phyo, AP ; Price, RN ; Pukrittayakamee, S ; Rahim, AG ; Randrianarivelojosia, M ; Rayner, JC ; Rumaseb, A ; Siegel, SV ; Simpson, VJ ; Thriemer, K ; Tobon-Castano, A ; Trimarsanto, H ; Urbano Ferreira, M ; Vélez, ID ; Wangchuk, S ; Wellems, TE ; White, NJ ; William, T ; Yasnot, MF ; Yilma, D (F1000 Research Ltd, 2022)
    This report describes the MalariaGEN Pv4 dataset, a new release of curated genome variation data on 1,895 samples of Plasmodium vivax collected at 88 worldwide locations between 2001 and 2017. It includes 1,370 new samples contributed by MalariaGEN and VivaxGEN partner studies in addition to previously published samples from these and other sources. We provide genotype calls at over 4.5 million variable positions including over 3 million single nucleotide polymorphisms (SNPs), as well as short indels and tandem duplications. This enlarged dataset highlights major compartments of parasite population structure, with clear differentiation between Africa, Latin America, Oceania, Western Asia and different parts of Southeast Asia. Each sample has been classified for drug resistance to sulfadoxine, pyrimethamine and mefloquine based on known markers at the dhfr, dhps and mdr1 loci. The prevalence of all of these resistance markers was much higher in Southeast Asia and Oceania than elsewhere. This open resource of analysis-ready genome variation data from the MalariaGEN and VivaxGEN networks is driven by our collective goal to advance research into the complex biology of P. vivax and to accelerate genomic surveillance for malaria control and elimination.
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    An open dataset of Plasmodium falciparum genome variation in 7,000 worldwide samples.
    MalariaGEN, ; 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, NP ; 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, T-N ; Noedl, H ; Nosten, F ; Noviyanti, R ; Nzila, A ; Ochola-Oyier, LI ; Ocholla, H ; Oduro, A ; Omedo, I ; Onyamboko, MA ; Ouedraogo, J-B ; 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, X-Z ; 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 (F1000 Research Ltd, 2021)
    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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    Global diversity and balancing selection of 23 leading Plasmodium falciparum candidate vaccine antigens
    Naung, MT ; Martin, E ; Munro, J ; Mehra, S ; Guy, AJ ; Laman, M ; Harrison, GLA ; Tavul, L ; Hetzel, M ; Kwiatkowski, D ; Mueller, I ; Bahlo, M ; Barry, AE ; Wallqvist, A (PUBLIC LIBRARY SCIENCE, 2022-02)
    Investigation of the diversity of malaria parasite antigens can help prioritize and validate them as vaccine candidates and identify the most common variants for inclusion in vaccine formulations. Studies of vaccine candidates of the most virulent human malaria parasite, Plasmodium falciparum, have focused on a handful of well-known antigens, while several others have never been studied. Here we examine the global diversity and population structure of leading vaccine candidate antigens of P. falciparum using the MalariaGEN Pf3K (version 5.1) resource, comprising more than 2600 genomes from 15 malaria endemic countries. A stringent variant calling pipeline was used to extract high quality antigen gene 'haplotypes' from the global dataset and a new R-package named VaxPack was used to streamline population genetic analyses. In addition, a newly developed algorithm that enables spatial averaging of selection pressure on 3D protein structures was applied to the dataset. We analysed the genes encoding 23 leading and novel candidate malaria vaccine antigens including csp, trap, eba175, ama1, rh5, and CelTOS. Our analysis shows that current malaria vaccine formulations are based on rare haplotypes and thus may have limited efficacy against natural parasite populations. High levels of diversity with evidence of balancing selection was detected for most of the erythrocytic and pre-erythrocytic antigens. Measures of natural selection were then mapped to 3D protein structures to predict targets of functional antibodies. For some antigens, geographical variation in the intensity and distribution of these signals on the 3D structure suggests adaptation to different human host or mosquito vector populations. This study provides an essential framework for the diversity of P. falciparum antigens to be considered in the design of the next generation of malaria vaccines.
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    Surveillance of molecular markers of Plasmodium falciparum artemisinin resistance (kelch13 mutations) in Papua New Guinea between 2016 and 2018
    Lautu-Gumal, D ; Razook, Z ; Koleala, T ; Nate, E ; McEwen, S ; Timbi, D ; Hetzel, MW ; Lavu, E ; Tefuarani, N ; Makita, L ; Kazura, J ; Mueller, I ; Pomat, W ; Laman, M ; Robinson, LJ ; Barry, AE (ELSEVIER SCI LTD, 2021-08)
    Plasmodium falciparum resistance to artemisinin-based combination therapy (ACT) is a global threat to malaria control and elimination efforts. Mutations in the P. falciparum kelch13 gene (Pfk13) that are associated with delayed parasite clearance have emerged on the Thai-Cambodian border since 2008. There is growing evidence of widespread Pfk13 mutations throughout South-East Asia and they have independently emerged in other endemic regions. In Papua New Guinea (PNG), Pfk13 "C580Y" mutant parasites with reduced in vitro sensitivity to artemisinin have been isolated in Wewak, a port town in East Sepik Province. However, the extent of any local spread of these mutant parasites in other parts of PNG is unknown. We investigated the prevalence of Pfk13 mutations in multiple malaria-endemic regions of PNG. P. falciparum isolates (n = 1152) collected between 2016 and 2018 and assessed for Pfk13 variation by sequencing. Of 663 high quality Pfk13 sequences a total of five variants were identified. They included C580Y, a mutation at a previously documented polymorphic locus: N499K, and three previously undescribed mutations: R471C, K586E and Y635C. All variants were found in single isolates, indicating that these Pfk13 mutations were rare in the areas surveyed. Notably, C580Y was absent from Maprik district, which neighbours Wewak where C580Y mutant parasites were previously identified. The single C580Y isolate was found in the port town of Lae, Morobe Province, a potential entry site for the importation of drug resistant parasites into PNG. Although sample size in this location was small (n = 5), our identification of a C580Y mutant in this second location is concerning, highlighting the urgent need for further surveillance in Lae. Other Pfk13 mutants were rare in PNG between 2016 and 2018. Continued surveillance for molecular markers of drug resistance is critically important to inform malaria control in PNG.
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    MonitoringPlasmodium falciparumandPlasmodium vivaxusing microsatellite markers indicates limited changes in population structure after substantial transmission decline in Papua New Guinea
    Kattenberg, JH ; Razook, Z ; Keo, R ; Koepfli, C ; Jennison, C ; Lautu-Gumal, D ; Fola, AA ; Ome-Kaius, M ; Barnadas, C ; Siba, P ; Felger, I ; Kazura, J ; Mueller, I ; Robinson, LJ ; Barry, AE (WILEY, 2020-12)
    Monitoring the genetic structure of pathogen populations may be an economical and sensitive approach to quantify the impact of control on transmission dynamics, highlighting the need for a better understanding of changes in population genetic parameters as transmission declines. Here we describe the first population genetic analysis of two major human malaria parasites, Plasmodium falciparum (Pf) and Plasmodium vivax (Pv), following nationwide distribution of long-lasting insecticide-treated nets (LLINs) in Papua New Guinea (PNG). Parasite isolates from pre- (2005-2006) and post-LLIN (2010-2014) were genotyped using microsatellite markers. Despite parasite prevalence declining substantially (East Sepik Province: Pf = 54.9%-8.5%, Pv = 35.7%-5.6%, Madang Province: Pf = 38.0%-9.0%, Pv: 31.8%-19.7%), genetically diverse and intermixing parasite populations remained. Pf diversity declined modestly post-LLIN relative to pre-LLIN (East Sepik: Rs  = 7.1-6.4, HE  = 0.77-0.71; Madang: Rs  = 8.2-6.1, HE  = 0.79-0.71). Unexpectedly, population structure present in pre-LLIN populations was lost post-LLIN, suggesting that more frequent human movement between provinces may have contributed to higher gene flow. Pv prevalence initially declined but increased again in one province, yet diversity remained high throughout the study period (East Sepik: Rs  = 11.4-9.3, HE  = 0.83-0.80; Madang: Rs  = 12.2-14.5, HE  = 0.85-0.88). Although genetic differentiation values increased between provinces over time, no significant population structure was observed at any time point. For both species, a decline in multiple infections and increasing clonal transmission and significant multilocus linkage disequilibrium post-LLIN were positive indicators of impact on the parasite population using microsatellite markers. These parameters may be useful adjuncts to traditional epidemiological tools in the early stages of transmission reduction.
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    Emergence of artemisinin-resistant Plasmodium falciparum with kelch13 C580Y mutations on the island of New Guinea
    Miotto, O ; Sekihara, M ; Tachibana, S-I ; Yamauchi, M ; Pearson, RD ; Amato, R ; Goncalves, S ; Mehra, S ; Noviyanti, R ; Marfurt, J ; Auburn, S ; Price, RN ; Mueller, I ; Ikeda, M ; Mori, T ; Hirai, M ; Tavul, L ; Hetzel, MW ; Laman, M ; Barry, AE ; Ringwald, P ; Ohashi, J ; Hombhanje, F ; Kwiatkowski, DP ; Mita, T ; Billker, O (PUBLIC LIBRARY SCIENCE, 2020-12)
    The rapid and aggressive spread of artemisinin-resistant Plasmodium falciparum carrying the C580Y mutation in the kelch13 gene is a growing threat to malaria elimination in Southeast Asia, but there is no evidence of their spread to other regions. We conducted cross-sectional surveys in 2016 and 2017 at two clinics in Wewak, Papua New Guinea (PNG) where we identified three infections caused by C580Y mutants among 239 genotyped clinical samples. One of these mutants exhibited the highest survival rate (6.8%) among all parasites surveyed in ring-stage survival assays (RSA) for artemisinin. Analyses of kelch13 flanking regions, and comparisons of deep sequencing data from 389 clinical samples from PNG, Indonesian Papua and Western Cambodia, suggested an independent origin of the Wewak C580Y mutation, showing that the mutants possess several distinctive genetic features. Identity by descent (IBD) showed that multiple portions of the mutants' genomes share a common origin with parasites found in Indonesian Papua, comprising several mutations within genes previously associated with drug resistance, such as mdr1, ferredoxin, atg18 and pnp. These findings suggest that a P. falciparum lineage circulating on the island of New Guinea has gradually acquired a complex ensemble of variants, including kelch13 C580Y, which have affected the parasites' drug sensitivity. This worrying development reinforces the need for increased surveillance of the evolving parasite populations on the island, to contain the spread of resistance.
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    Molecular epidemiology of residual Plasmodium vivax transmission in a paediatric cohort in Solomon Islands
    Quah, YW ; Waltmann, A ; Karl, S ; White, MT ; Vahi, V ; Darcy, A ; Pitakaka, F ; Whittaker, M ; Tisch, DJ ; Barry, A ; Barnadas, C ; Kazura, J ; Mueller, I (BMC, 2019-03-28)
    BACKGROUND: Following the scale-up of intervention efforts, malaria burden has decreased dramatically in Solomon Islands (SI). Submicroscopic and asymptomatic Plasmodium vivax infections are now the major challenge for malaria elimination in this country. Since children have higher risk of contracting malaria, this study investigated the dynamics of Plasmodium spp. infections among children including the associated risk factors of residual P. vivax burden. METHODS: An observational cohort study was conducted among 860 children aged 0.5-12 years in Ngella (Central Islands Province, SI). Children were monitored by active and passive surveillances for Plasmodium spp. infections and illness. Parasites were detected by quantitative real-time PCR (qPCR) and genotyped. Comprehensive statistical analyses of P. vivax infection prevalence, molecular force of blood stage infection (molFOB) and infection density were conducted. RESULTS: Plasmodium vivax infections were common (overall prevalence: 11.9%), whereas Plasmodium falciparum infections were rare (0.3%) but persistent. Although children acquire an average of 1.1 genetically distinct P. vivax blood-stage infections per year, there was significant geographic heterogeneity in the risks of P. vivax infections across Ngella (prevalence: 1.2-47.4%, p < 0.01; molFOB: 0.05-4.6/year, p < 0.01). Malaria incidence was low (IR: 0.05 episodes/year-at-risk). Age and measures of high exposure were the key risk factors for P. vivax infections and disease. Malaria incidence and infection density decreased with age, indicating significant acquisition of immunity. G6PD deficient children (10.8%) that did not receive primaquine treatment had a significantly higher prevalence (aOR: 1.77, p = 0.01) and increased risk of acquiring new bloodstage infections (molFOB aIRR: 1.51, p = 0.03), underscoring the importance of anti-relapse treatment. CONCLUSION: Residual malaria transmission in Ngella exhibits strong heterogeneity and is characterized by a high proportion of submicroscopic and asymptomatic P. vivax infections, alongside sporadic P. falciparum infections. Implementing an appropriate primaquine treatment policy to prevent P. vivax relapses and specific targeting of control interventions to high risk areas will be required to accelerate ongoing control and elimination activities.