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    Plasmodium GPI-anchored micronemal antigen is essential for parasite transmission through the mosquito host
    Jennison, C ; Armstrong, JM ; Dankwa, DA ; Hertoghs, N ; Kumar, S ; Abatiyow, BA ; Naung, M ; Minkah, NK ; Swearingen, KE ; Moritz, R ; Barry, AE ; Kappe, SHI ; Vaughan, AM (Wiley, 2023-06-14)
    Plasmodium parasites, the eukaryotic pathogens that cause malaria, feature three distinct invasive forms tailored to the host environment they must navigate and invade for life cycle progression. One conserved feature of these invasive forms is the micronemes, apically oriented secretory organelles involved in egress, motility, adhesion, and invasion. Here we investigate the role of GPI-anchored micronemal antigen (GAMA), which shows a micronemal localization in all zoite forms of the rodent-infecting species Plasmodium berghei. ∆GAMA parasites are severely defective for invasion of the mosquito midgut. Once formed, oocysts develop normally, however, sporozoites are unable to egress and exhibit defective motility. Epitope-tagging of GAMA revealed tight temporal expression late during sporogony and showed that GAMA is shed during sporozoite gliding motility in a similar manner to circumsporozoite protein. Complementation of P. berghei knockout parasites with full-length P. falciparum GAMA partially restored infectivity to mosquitoes, indicating conservation of function across Plasmodium species. A suite of parasites with GAMA expressed under the promoters of CTRP, CAP380, and TRAP, further confirmed the involvement of GAMA in midgut infection, motility, and vertebrate infection. These data show GAMA's involvement in sporozoite motility, egress, and invasion, implicating GAMA as a regulator of microneme function.
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    A Decade of Progress Accelerating Malaria Control in Mali: Evidence from the West Africa International Center of Excellence for Malaria Research.
    Doumbia, S ; Sogoba, N ; Diakite, M ; Toure, M ; Keita, M ; Konaté, D ; Diawara, SI ; Diarra, A ; Sanogo, D ; Kane, F ; Diakite, SAS ; Traore, K ; Thiam, SM ; Traoré, SF ; Cisse, I ; Mihigo, J ; Coulibaly, MB ; Dabitao, D ; Alifrangis, M ; Barry, AE ; Müller, GC ; Beier, JC ; Shaffer, JG (American Society of Tropical Medicine and Hygiene, 2022-10-11)
    This article highlights over a decade of signature achievements by the West Africa International Centers for Excellence in Malaria Research (WA-ICEMR) and its partners toward guiding malaria prevention and control strategies. Since 2010, the WA-ICEMR has performed longitudinal studies to monitor and assess malaria control interventions with respect to space-time patterns, vector transmission indicators, and drug resistance markers. These activities were facilitated and supported by the Mali National Malaria Control Program. Research activities included large-scale active and passive surveillance and expanded coverage of universal long-lasting insecticide-treated bed nets and seasonal malaria chemoprevention (SMC). The findings revealed substantial declines in malaria occurrence after the scale-up of control interventions in WA-ICEMR study sites. WA-ICEMR studies showed that SMC using sulfadoxine-pyrimethamine plus amodiaquine was highly effective in preventing malaria among children under 5 years of age. An alternative SMC regimen (dihydroartemisinin plus piperaquine) was shown to be potentially more effective and provided advantages for acceptability and compliance over the standard SMC regimen. Other findings discussed in this article include higher observed multiplicity of infection rates for malaria in historically high-endemic areas, continued antimalarial drug sensitivity to Plasmodium falciparum, high outdoor malaria transmission rates, and increased insecticide resistance over the past decade. The progress achieved by the WA-ICEMR and its partners highlights the critical need for maintaining current malaria control interventions while developing novel strategies to disrupt malaria transmission. Enhanced evaluation of these strategies through research partnerships is particularly needed in the wake of reported artemisinin resistance in Southeast Asia and East Africa.
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    The West Africa ICEMR Partnerships for Guiding Policy to Improve the Malaria Prevention and Control.
    Doumbia, S ; Toure, M ; Sogoba, N ; Alifrangis, M ; Diakite, M ; Diarra, A ; Keita, M ; Konaté, D ; Diawara, SI ; Thiam, SM ; Keita, S ; Tounkara, M ; Cissé, I ; Sanogo, V ; Magassa, MH ; Barry, AE ; Winch, PJ ; Marker, HC ; Shaffer, JG ; Traoré, SF ; Müller, GC ; Cui, L ; Beier, JC ; Mihigo, J (American Society of Tropical Medicine and Hygiene, 2022-10-11)
    The Mali National Malaria Control Program (NMCP) recently established a phased set of goals for eliminating malaria in Mali by 2030. Over the past decade, the scale-up of NMCP-led malaria control interventions has led to considerable progress, as evidenced by multiple malariometric indicators. The West Africa International Center of Excellence in Malaria Research (WA-ICEMR) is a multidisciplinary research program that works closely with the NMCP and its partners to address critical research needs for malaria control. This coordinated effort includes assessing the effectiveness of control interventions based on key malaria research topics, including immune status, parasite genetic diversity, insecticide and drug resistance, diagnostic accuracy, malaria vector populations and biting behaviors, and vectorial capacity. Several signature accomplishments of the WA-ICEMR include identifying changing malaria age demographic profiles, testing innovative approaches to improve control strategies, and providing regular reporting on drug and insecticide resistance status. The NMCP and WA-ICEMR partnership between the WA-ICEMR and the NMCP offers a comprehensive research platform that informs the design and implementation of malaria prevention and control research programs. These efforts build local expertise and capacity for the next generation of malaria researchers and guide local policy, which is crucial in sustaining efforts toward eliminating malaria in West Africa.
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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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    Selective Whole-Genome Amplification Is a Robust Method That Enables Scalable Whole-Genome Sequencing of Plasmodium vivax from Unprocessed Clinical Samples.
    Cowell, AN ; Loy, DE ; Sundararaman, SA ; Valdivia, H ; Fisch, K ; Lescano, AG ; Baldeviano, GC ; Durand, S ; Gerbasi, V ; Sutherland, CJ ; Nolder, D ; Vinetz, JM ; Hahn, BH ; Winzeler, EA ; Miller, LH (American Society for Microbiology, 2017-02-07)
    UNLABELLED: Whole-genome sequencing (WGS) of microbial pathogens from clinical samples is a highly sensitive tool used to gain a deeper understanding of the biology, epidemiology, and drug resistance mechanisms of many infections. However, WGS of organisms which exhibit low densities in their hosts is challenging due to high levels of host genomic DNA (gDNA), which leads to very low coverage of the microbial genome. WGS of Plasmodium vivax, the most widely distributed form of malaria, is especially difficult because of low parasite densities and the lack of an ex vivo culture system. Current techniques used to enrich P. vivax DNA from clinical samples require significant resources or are not consistently effective. Here, we demonstrate that selective whole-genome amplification (SWGA) can enrich P. vivax gDNA from unprocessed human blood samples and dried blood spots for high-quality WGS, allowing genetic characterization of isolates that would otherwise have been prohibitively expensive or impossible to sequence. We achieved an average genome coverage of 24×, with up to 95% of the P. vivax core genome covered by ≥5 reads. The single-nucleotide polymorphism (SNP) characteristics and drug resistance mutations seen were consistent with those of other P. vivax sequences from a similar region in Peru, demonstrating that SWGA produces high-quality sequences for downstream analysis. SWGA is a robust tool that will enable efficient, cost-effective WGS of P. vivax isolates from clinical samples that can be applied to other neglected microbial pathogens. IMPORTANCE: Malaria is a disease caused by Plasmodium parasites that caused 214 million symptomatic cases and 438,000 deaths in 2015. Plasmodium vivax is the most widely distributed species, causing the majority of malaria infections outside sub-Saharan Africa. Whole-genome sequencing (WGS) of Plasmodium parasites from clinical samples has revealed important insights into the epidemiology and mechanisms of drug resistance of malaria. However, WGS of P. vivax is challenging due to low parasite levels in humans and the lack of a routine system to culture the parasites. Selective whole-genome amplification (SWGA) preferentially amplifies the genomes of pathogens from mixtures of target and host gDNA. Here, we demonstrate that SWGA is a simple, robust method that can be used to enrich P. vivax genomic DNA (gDNA) from unprocessed human blood samples and dried blood spots for cost-effective, high-quality WGS.
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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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    STRIVE PNG: using a partnership-based approach in implementation research to strengthen surveillance and health systems in Papua New Guinea
    Farquhar, R ; Dori, A ; MacCana, S ; Tefuarani, N ; Lavu, E ; Barry, A ; Karl, S ; Makita, L ; Robinson, L ; Laman, M (BMC, 2022-04-02)
    Successful implementation research requires effective and equitable relationships between policy-makers, researchers and implementers to effect evidence-based systems change. However, mainstream research grant models between Global North and Global South institutions often (unintentionally) reinforce power imbalances between partners, which result in missed opportunities for knowledge and learning exchange between policy-makers, researchers and implementers.This case study, centred on the STRIVE PNG project, describes how a partnership-based approach has been used to establish, maintain and review effective and equitable relationships between 13 partner organizations (independent research institutes, government health agencies and public health laboratories) to strengthen surveillance and health systems in Papua New Guinea (PNG). We provide an overview of key terms (with supporting conceptual frameworks), describe selected partnership processes and tools used within the project, and share observations regarding early outcomes achieved through this approach.