Mun Hua Tan, Heejung Shim, Yao-Ban Chan, Karen P Day
{"title":"揭示变异的复杂性:恶性疟原虫中 DBLα 类型与变异基因之间的关系。","authors":"Mun Hua Tan, Heejung Shim, Yao-Ban Chan, Karen P Day","doi":"10.3389/fpara.2022.1006341","DOIUrl":null,"url":null,"abstract":"<p><p>The enormous diversity and complexity of <i>var</i> genes that diversify rapidly by recombination has led to the exclusion of assembly of these genes from major genome initiatives (e.g., Pf6). A scalable solution in epidemiological surveillance of <i>var</i> genes is to use a small 'tag' region encoding the immunogenic DBLα domain as a marker to estimate <i>var</i> diversity. As <i>var</i> genes diversify by recombination, it is not clear the extent to which the same tag can appear in multiple <i>var</i> genes. This relationship between marker and gene has not been investigated in natural populations. Analyses of <i>in vitro</i> recombination within and between <i>var</i> genes have suggested that this relationship would not be exclusive. Using a dataset of publicly-available assembled <i>var</i> sequences, we test this hypothesis by studying DBLα-<i>var</i> relationships for four study sites in four countries: Pursat (Cambodia) and Mae Sot (Thailand), representing low malaria transmission, and Navrongo (Ghana) and Chikwawa (Malawi), representing high malaria transmission. In all study sites, DBLα-<i>var</i> relationships were shown to be predominantly 1-to-1, followed by a second largest proportion of 1-to-2 DBLα-<i>var</i> relationships. This finding indicates that DBLα tags can be used to estimate not just DBLα diversity but <i>var</i> gene diversity when applied in a local endemic area. Epidemiological applications of this result are discussed.</p>","PeriodicalId":73098,"journal":{"name":"Frontiers in parasitology","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10060044/pdf/","citationCount":"0","resultStr":"{\"title\":\"Unravelling <i>var</i> complexity: Relationship between DBLα types and <i>var</i> genes in <i>Plasmodium falciparum</i>.\",\"authors\":\"Mun Hua Tan, Heejung Shim, Yao-Ban Chan, Karen P Day\",\"doi\":\"10.3389/fpara.2022.1006341\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>The enormous diversity and complexity of <i>var</i> genes that diversify rapidly by recombination has led to the exclusion of assembly of these genes from major genome initiatives (e.g., Pf6). A scalable solution in epidemiological surveillance of <i>var</i> genes is to use a small 'tag' region encoding the immunogenic DBLα domain as a marker to estimate <i>var</i> diversity. As <i>var</i> genes diversify by recombination, it is not clear the extent to which the same tag can appear in multiple <i>var</i> genes. This relationship between marker and gene has not been investigated in natural populations. Analyses of <i>in vitro</i> recombination within and between <i>var</i> genes have suggested that this relationship would not be exclusive. Using a dataset of publicly-available assembled <i>var</i> sequences, we test this hypothesis by studying DBLα-<i>var</i> relationships for four study sites in four countries: Pursat (Cambodia) and Mae Sot (Thailand), representing low malaria transmission, and Navrongo (Ghana) and Chikwawa (Malawi), representing high malaria transmission. In all study sites, DBLα-<i>var</i> relationships were shown to be predominantly 1-to-1, followed by a second largest proportion of 1-to-2 DBLα-<i>var</i> relationships. This finding indicates that DBLα tags can be used to estimate not just DBLα diversity but <i>var</i> gene diversity when applied in a local endemic area. Epidemiological applications of this result are discussed.</p>\",\"PeriodicalId\":73098,\"journal\":{\"name\":\"Frontiers in parasitology\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10060044/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Frontiers in parasitology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3389/fpara.2022.1006341\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2023/1/9 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Frontiers in parasitology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3389/fpara.2022.1006341","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2023/1/9 0:00:00","PubModel":"Epub","JCR":"","JCRName":"","Score":null,"Total":0}
Unravelling var complexity: Relationship between DBLα types and var genes in Plasmodium falciparum.
The enormous diversity and complexity of var genes that diversify rapidly by recombination has led to the exclusion of assembly of these genes from major genome initiatives (e.g., Pf6). A scalable solution in epidemiological surveillance of var genes is to use a small 'tag' region encoding the immunogenic DBLα domain as a marker to estimate var diversity. As var genes diversify by recombination, it is not clear the extent to which the same tag can appear in multiple var genes. This relationship between marker and gene has not been investigated in natural populations. Analyses of in vitro recombination within and between var genes have suggested that this relationship would not be exclusive. Using a dataset of publicly-available assembled var sequences, we test this hypothesis by studying DBLα-var relationships for four study sites in four countries: Pursat (Cambodia) and Mae Sot (Thailand), representing low malaria transmission, and Navrongo (Ghana) and Chikwawa (Malawi), representing high malaria transmission. In all study sites, DBLα-var relationships were shown to be predominantly 1-to-1, followed by a second largest proportion of 1-to-2 DBLα-var relationships. This finding indicates that DBLα tags can be used to estimate not just DBLα diversity but var gene diversity when applied in a local endemic area. Epidemiological applications of this result are discussed.