Artemisinin resistance-associated markers in Plasmodium falciparum parasites from the China-Myanmar border: predicted structural stability of K13 propeller variants detected in a low-prevalence area

Malaria reduction and future elimination in China is made more difficult by the importation of cases from neighboring endemic countries, particularly Myanmar, Laos, and Vietnam, and increased travel to Africa by Chinese nationals. The increasing prevalence of artemisinin resistant parasites across S...

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Veröffentlicht in:PloS one 2019-03, Vol.14 (3), p.e0213686-e0213686
Hauptverfasser: He, Yan, Campino, Susana, Diez Benavente, Ernest, Warhurst, David C, Beshir, Khalid B, Lubis, Inke, Gomes, Ana Rita, Feng, Jun, Jiazhi, Wang, Sun, Xiaodong, Huang, Fang, Tang, Lin-Hua, Sutherland, Colin J, Clark, Taane G
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container_title PloS one
container_volume 14
creator He, Yan
Campino, Susana
Diez Benavente, Ernest
Warhurst, David C
Beshir, Khalid B
Lubis, Inke
Gomes, Ana Rita
Feng, Jun
Jiazhi, Wang
Sun, Xiaodong
Huang, Fang
Tang, Lin-Hua
Sutherland, Colin J
Clark, Taane G
description Malaria reduction and future elimination in China is made more difficult by the importation of cases from neighboring endemic countries, particularly Myanmar, Laos, and Vietnam, and increased travel to Africa by Chinese nationals. The increasing prevalence of artemisinin resistant parasites across Southeast Asia highlights the importance of monitoring the parasite importation into China. Artemisinin resistance in the Mekong region is associated with variants of genes encoding the K13 kelch domain protein (pf13k), found in specific genetic backgrounds, including certain alleles of genes encoding the chloroquine resistance transporter (pfcrt) and multidrug resistance transporter PgH1 (pfmdr1). In this study we investigated the prevalence of drug resistance markers in 72 P. falciparum samples from uncomplicated malaria infections in Tengchong and Yingjiang, counties on the Yunnan-Myanmar border. Variants of pf13k, pfcrt and pfmdr1 are described. Almost all parasites harboured chloroquine-resistant alleles of pfcrt, whereas pfmdr1 was more diverse. Major mutations in the K13 propeller domain associated with artemisinin resistance in the Mekong region (C580Y, R539T and Y493H) were absent, but F446I and two previously undescribed mutations (V603E and V454I) were identified. Protein structural modelling was carried out in silico on each of these K13 variants, based on recently published crystal structures for the K13 propeller domain. Whereas F446I was predicted to elicit a moderate destabilisation of the propeller structure, the V603E substitution is likely to lead to relatively high protein instability. We plotted these stability estimates, and those for all previously described variants, against published values for in vivo parasitaemia half-life, and found that quadratic regression generates a useful predictive algorithm. This study provides a baseline of P. falciparum resistance-associated mutations prevalent at the China-Myanmar border. We also show that protein modelling can be used to generate testable predictions as to the impact of pfk13 mutations on in vivo (and potentially in vitro) artemisinin susceptibility.
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The increasing prevalence of artemisinin resistant parasites across Southeast Asia highlights the importance of monitoring the parasite importation into China. Artemisinin resistance in the Mekong region is associated with variants of genes encoding the K13 kelch domain protein (pf13k), found in specific genetic backgrounds, including certain alleles of genes encoding the chloroquine resistance transporter (pfcrt) and multidrug resistance transporter PgH1 (pfmdr1). In this study we investigated the prevalence of drug resistance markers in 72 P. falciparum samples from uncomplicated malaria infections in Tengchong and Yingjiang, counties on the Yunnan-Myanmar border. Variants of pf13k, pfcrt and pfmdr1 are described. Almost all parasites harboured chloroquine-resistant alleles of pfcrt, whereas pfmdr1 was more diverse. Major mutations in the K13 propeller domain associated with artemisinin resistance in the Mekong region (C580Y, R539T and Y493H) were absent, but F446I and two previously undescribed mutations (V603E and V454I) were identified. Protein structural modelling was carried out in silico on each of these K13 variants, based on recently published crystal structures for the K13 propeller domain. Whereas F446I was predicted to elicit a moderate destabilisation of the propeller structure, the V603E substitution is likely to lead to relatively high protein instability. We plotted these stability estimates, and those for all previously described variants, against published values for in vivo parasitaemia half-life, and found that quadratic regression generates a useful predictive algorithm. This study provides a baseline of P. falciparum resistance-associated mutations prevalent at the China-Myanmar border. 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This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. 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The increasing prevalence of artemisinin resistant parasites across Southeast Asia highlights the importance of monitoring the parasite importation into China. Artemisinin resistance in the Mekong region is associated with variants of genes encoding the K13 kelch domain protein (pf13k), found in specific genetic backgrounds, including certain alleles of genes encoding the chloroquine resistance transporter (pfcrt) and multidrug resistance transporter PgH1 (pfmdr1). In this study we investigated the prevalence of drug resistance markers in 72 P. falciparum samples from uncomplicated malaria infections in Tengchong and Yingjiang, counties on the Yunnan-Myanmar border. Variants of pf13k, pfcrt and pfmdr1 are described. Almost all parasites harboured chloroquine-resistant alleles of pfcrt, whereas pfmdr1 was more diverse. Major mutations in the K13 propeller domain associated with artemisinin resistance in the Mekong region (C580Y, R539T and Y493H) were absent, but F446I and two previously undescribed mutations (V603E and V454I) were identified. Protein structural modelling was carried out in silico on each of these K13 variants, based on recently published crystal structures for the K13 propeller domain. Whereas F446I was predicted to elicit a moderate destabilisation of the propeller structure, the V603E substitution is likely to lead to relatively high protein instability. We plotted these stability estimates, and those for all previously described variants, against published values for in vivo parasitaemia half-life, and found that quadratic regression generates a useful predictive algorithm. This study provides a baseline of P. falciparum resistance-associated mutations prevalent at the China-Myanmar border. We also show that protein modelling can be used to generate testable predictions as to the impact of pfk13 mutations on in vivo (and potentially in vitro) artemisinin susceptibility.</description><subject>Algorithms</subject><subject>Alleles</subject><subject>Antimalarials - therapeutic use</subject><subject>Artemisinin</subject><subject>Artemisinins - therapeutic use</subject><subject>Biology and Life Sciences</subject><subject>Care and treatment</subject><subject>China</subject><subject>Chloroquine</subject><subject>Chloroquine - therapeutic use</subject><subject>Crystal structure</subject><subject>Dosage and administration</subject><subject>Drug resistance</subject><subject>Drug Resistance - genetics</subject><subject>Erythrocytes</subject><subject>Genes</subject><subject>Genetic Variation</subject><subject>Genetics</subject><subject>Human health and pathology</subject><subject>Humans</subject><subject>Importation</subject><subject>Infectious diseases</subject><subject>Life Sciences</subject><subject>Malaria</subject><subject>Malaria, Falciparum - 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genetics</subject><subject>Regression Analysis</subject><subject>Sequence Analysis, DNA</subject><subject>Structural stability</subject><subject>Transients and Migrants</subject><subject>Tropical diseases</subject><subject>Vector-borne diseases</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><sourceid>DOA</sourceid><recordid>eNqNk9tu1DAQhiMEoqXwBggsISF6kcWOczIXSKsKaEVREadba-JMdl2y8WI7C31BnovZ7rbqVr1AkRLL-f7f4zkkyVPBJ0JW4vW5G_0A_WTpBpzwTMiyLu8l-0LJLC0zLu_fWO8lj0I457yQdVk-TPYkr2tZVGI_-Tv1ERc22MEOzGOwIcJgMIUQnLEQsWUL8D_RB0bA5x7CwrV2XLAOemOX4GlJbwg2YmCddwsW58iO5naA9NMFDKRmjfMt-jds6bG1Zu0Zoh9NHD30tITG9jZeMNexj0IS5ZbY9-jZCryFIQbWYsRLHcUArHe_U7JaQY8UKgOP8Dh5QAEFfLL9HiTf37_7dnScnp59ODmanqamUllMVWGkarpcGdXVslPSFCrDGuqq5FULbamgxKqqZK2wkR02DYFVkYFosqajnB0kzze-y94FvS1B0JlQOee8zNbEyYZoHZzrpbeUgAvtwOrLDednGny0pkctJBSFUA0vRZlTCA20ss3rTjSNKiqZkdfb7Wljs8DW4BApYzumu38GO9czt9JlnmXZZbiHG4P5Ldnx9FSv93hOt61qvhLEvtoe5t2vEUPU1BaGCgEDunFzR1HkspSEvriF3p2JLTWjQmk7dI5iNGtTPS0qxYua2pioyR0UPS21paHe7izt7wgOdwTERPwTZzCGoE--fvl_9uzHLvvyBjtH6OM8uH6M1g1hF8w3oPEuBI_ddWYF1-vRvMqGXo-m3o4myZ7dLOa16GoW5T8pdDe1</recordid><startdate>20190318</startdate><enddate>20190318</enddate><creator>He, Yan</creator><creator>Campino, Susana</creator><creator>Diez Benavente, Ernest</creator><creator>Warhurst, David C</creator><creator>Beshir, Khalid B</creator><creator>Lubis, Inke</creator><creator>Gomes, Ana Rita</creator><creator>Feng, Jun</creator><creator>Jiazhi, Wang</creator><creator>Sun, Xiaodong</creator><creator>Huang, Fang</creator><creator>Tang, Lin-Hua</creator><creator>Sutherland, Colin J</creator><creator>Clark, Taane G</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>1XC</scope><scope>VOOES</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-4313-4290</orcidid><orcidid>https://orcid.org/0000-0003-1592-6407</orcidid><orcidid>https://orcid.org/0000-0001-8985-9265</orcidid><orcidid>https://orcid.org/0000-0001-7684-8815</orcidid></search><sort><creationdate>20190318</creationdate><title>Artemisinin resistance-associated markers in Plasmodium falciparum parasites from the China-Myanmar border: predicted structural stability of K13 propeller variants detected in a low-prevalence area</title><author>He, Yan ; Campino, Susana ; Diez Benavente, Ernest ; Warhurst, David C ; Beshir, Khalid B ; Lubis, Inke ; Gomes, Ana Rita ; Feng, Jun ; Jiazhi, Wang ; Sun, Xiaodong ; Huang, Fang ; Tang, Lin-Hua ; Sutherland, Colin J ; Clark, Taane G</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c792t-95c39bf49c9f83f93c592e8a87607dad69a6e777389eb3febbc9f752a1b2bf883</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Algorithms</topic><topic>Alleles</topic><topic>Antimalarials - therapeutic use</topic><topic>Artemisinin</topic><topic>Artemisinins - therapeutic use</topic><topic>Biology and Life Sciences</topic><topic>Care and treatment</topic><topic>China</topic><topic>Chloroquine</topic><topic>Chloroquine - therapeutic use</topic><topic>Crystal structure</topic><topic>Dosage and administration</topic><topic>Drug resistance</topic><topic>Drug Resistance - genetics</topic><topic>Erythrocytes</topic><topic>Genes</topic><topic>Genetic Variation</topic><topic>Genetics</topic><topic>Human health and pathology</topic><topic>Humans</topic><topic>Importation</topic><topic>Infectious diseases</topic><topic>Life Sciences</topic><topic>Malaria</topic><topic>Malaria, Falciparum - drug therapy</topic><topic>Malaria, Falciparum - epidemiology</topic><topic>Malaria, Falciparum - parasitology</topic><topic>Markers</topic><topic>Mathematical models</topic><topic>Medicine and Health Sciences</topic><topic>Membrane Transport Proteins - genetics</topic><topic>Microbial drug resistance</topic><topic>Microbiology and Parasitology</topic><topic>Modelling</topic><topic>Multidrug resistance</topic><topic>Mutation</topic><topic>Myanmar</topic><topic>Parasite resistance</topic><topic>Parasites</topic><topic>Parasitic diseases</topic><topic>Parasitology</topic><topic>People and Places</topic><topic>Pharmaceutical sciences</topic><topic>Pharmacology</topic><topic>Physiological aspects</topic><topic>Plasmodium falciparum</topic><topic>Plasmodium falciparum - drug effects</topic><topic>Plasmodium falciparum - genetics</topic><topic>Polymerase Chain Reaction</topic><topic>Polymorphism, Genetic</topic><topic>Populations and Evolution</topic><topic>Predictions</topic><topic>Prevalence</topic><topic>Proteins</topic><topic>Protozoan Proteins - genetics</topic><topic>Regression Analysis</topic><topic>Sequence Analysis, DNA</topic><topic>Structural stability</topic><topic>Transients and Migrants</topic><topic>Tropical diseases</topic><topic>Vector-borne diseases</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>He, Yan</creatorcontrib><creatorcontrib>Campino, Susana</creatorcontrib><creatorcontrib>Diez Benavente, Ernest</creatorcontrib><creatorcontrib>Warhurst, David C</creatorcontrib><creatorcontrib>Beshir, Khalid B</creatorcontrib><creatorcontrib>Lubis, Inke</creatorcontrib><creatorcontrib>Gomes, Ana Rita</creatorcontrib><creatorcontrib>Feng, Jun</creatorcontrib><creatorcontrib>Jiazhi, Wang</creatorcontrib><creatorcontrib>Sun, Xiaodong</creatorcontrib><creatorcontrib>Huang, Fang</creatorcontrib><creatorcontrib>Tang, Lin-Hua</creatorcontrib><creatorcontrib>Sutherland, Colin J</creatorcontrib><creatorcontrib>Clark, Taane G</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Opposing Viewpoints in Context (Gale)</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Proquest Nursing &amp; Allied Health Source</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological &amp; Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health &amp; Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science &amp; Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies &amp; Aerospace Collection</collection><collection>Agricultural &amp; Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing &amp; Allied Health Database (Alumni Edition)</collection><collection>Meteorological &amp; Geoastrophysical Abstracts - 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Academic</collection><collection>Hyper Article en Ligne (HAL)</collection><collection>Hyper Article en Ligne (HAL) (Open Access)</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>He, Yan</au><au>Campino, Susana</au><au>Diez Benavente, Ernest</au><au>Warhurst, David C</au><au>Beshir, Khalid B</au><au>Lubis, Inke</au><au>Gomes, Ana Rita</au><au>Feng, Jun</au><au>Jiazhi, Wang</au><au>Sun, Xiaodong</au><au>Huang, Fang</au><au>Tang, Lin-Hua</au><au>Sutherland, Colin J</au><au>Clark, Taane G</au><au>Carvalho, Luzia Helena</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Artemisinin resistance-associated markers in Plasmodium falciparum parasites from the China-Myanmar border: predicted structural stability of K13 propeller variants detected in a low-prevalence area</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2019-03-18</date><risdate>2019</risdate><volume>14</volume><issue>3</issue><spage>e0213686</spage><epage>e0213686</epage><pages>e0213686-e0213686</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Malaria reduction and future elimination in China is made more difficult by the importation of cases from neighboring endemic countries, particularly Myanmar, Laos, and Vietnam, and increased travel to Africa by Chinese nationals. The increasing prevalence of artemisinin resistant parasites across Southeast Asia highlights the importance of monitoring the parasite importation into China. Artemisinin resistance in the Mekong region is associated with variants of genes encoding the K13 kelch domain protein (pf13k), found in specific genetic backgrounds, including certain alleles of genes encoding the chloroquine resistance transporter (pfcrt) and multidrug resistance transporter PgH1 (pfmdr1). In this study we investigated the prevalence of drug resistance markers in 72 P. falciparum samples from uncomplicated malaria infections in Tengchong and Yingjiang, counties on the Yunnan-Myanmar border. Variants of pf13k, pfcrt and pfmdr1 are described. Almost all parasites harboured chloroquine-resistant alleles of pfcrt, whereas pfmdr1 was more diverse. Major mutations in the K13 propeller domain associated with artemisinin resistance in the Mekong region (C580Y, R539T and Y493H) were absent, but F446I and two previously undescribed mutations (V603E and V454I) were identified. Protein structural modelling was carried out in silico on each of these K13 variants, based on recently published crystal structures for the K13 propeller domain. Whereas F446I was predicted to elicit a moderate destabilisation of the propeller structure, the V603E substitution is likely to lead to relatively high protein instability. We plotted these stability estimates, and those for all previously described variants, against published values for in vivo parasitaemia half-life, and found that quadratic regression generates a useful predictive algorithm. This study provides a baseline of P. falciparum resistance-associated mutations prevalent at the China-Myanmar border. We also show that protein modelling can be used to generate testable predictions as to the impact of pfk13 mutations on in vivo (and potentially in vitro) artemisinin susceptibility.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>30883571</pmid><doi>10.1371/journal.pone.0213686</doi><tpages>e0213686</tpages><orcidid>https://orcid.org/0000-0002-4313-4290</orcidid><orcidid>https://orcid.org/0000-0003-1592-6407</orcidid><orcidid>https://orcid.org/0000-0001-8985-9265</orcidid><orcidid>https://orcid.org/0000-0001-7684-8815</orcidid><oa>free_for_read</oa></addata></record>
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subjects Algorithms
Alleles
Antimalarials - therapeutic use
Artemisinin
Artemisinins - therapeutic use
Biology and Life Sciences
Care and treatment
China
Chloroquine
Chloroquine - therapeutic use
Crystal structure
Dosage and administration
Drug resistance
Drug Resistance - genetics
Erythrocytes
Genes
Genetic Variation
Genetics
Human health and pathology
Humans
Importation
Infectious diseases
Life Sciences
Malaria
Malaria, Falciparum - drug therapy
Malaria, Falciparum - epidemiology
Malaria, Falciparum - parasitology
Markers
Mathematical models
Medicine and Health Sciences
Membrane Transport Proteins - genetics
Microbial drug resistance
Microbiology and Parasitology
Modelling
Multidrug resistance
Mutation
Myanmar
Parasite resistance
Parasites
Parasitic diseases
Parasitology
People and Places
Pharmaceutical sciences
Pharmacology
Physiological aspects
Plasmodium falciparum
Plasmodium falciparum - drug effects
Plasmodium falciparum - genetics
Polymerase Chain Reaction
Polymorphism, Genetic
Populations and Evolution
Predictions
Prevalence
Proteins
Protozoan Proteins - genetics
Regression Analysis
Sequence Analysis, DNA
Structural stability
Transients and Migrants
Tropical diseases
Vector-borne diseases
title Artemisinin resistance-associated markers in Plasmodium falciparum parasites from the China-Myanmar border: predicted structural stability of K13 propeller variants detected in a low-prevalence area
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