{"title":"一种未充分利用的豆科植物翅豆的种群多样性分析使用ISSR标记","authors":"V. Kamal Kumar, R. Rajalakshmi","doi":"10.1016/j.plgene.2023.100436","DOIUrl":null,"url":null,"abstract":"<div><p>Seventy genotypes of winged bean representing five populations, include the, genotypes from India (IN), Thailand (TH), Nigeria (NI), Ghana (GH) and Papua New, Guinea (PNG) were taken for the study. Widely accepted population analysis tools;, POPGene Ver.1.32, GenAlEx Ver. 6.5, Splits Tree Ver.4.15.1, STRUCTURE Ver., 2.3.4 and Structure Harvester Ver.6.0 and MVSP Ver.3.22 were used for data, interpretation. Results revealed that the highest diversity was observed in Thailand, population. Genetic diversity between populations was not related to geography. All the, Indian samples except PT-1 grouped together, one Thailand sample (PT-33) was, totally different from other Thailand samples and PT-69 of PNG highly distinct from, other samples. Cluster analysis revealed that four Thailand samples (PT-31, PT-32, PT-48, and PT-49) two Indian samples (PT-28 and PT-29) and two Thailand samples, (PT-42 and PT-46) are genetically closer with less Euclidean distance of 0, whereas, PT-39 showed a maximum distance of 0.87. From this study, PT-33 (EC 178272), PT-, 69 (EC 38821 P2) and PT-39 (EC 178291) could be labelled as genetic variants.</p></div>","PeriodicalId":38041,"journal":{"name":"Plant Gene","volume":null,"pages":null},"PeriodicalIF":2.2000,"publicationDate":"2023-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Population diversity analysis of an underutilized legume, winged bean (Psophocarpus tetragonolobus (L.) DC.) using ISSR markers\",\"authors\":\"V. Kamal Kumar, R. Rajalakshmi\",\"doi\":\"10.1016/j.plgene.2023.100436\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Seventy genotypes of winged bean representing five populations, include the, genotypes from India (IN), Thailand (TH), Nigeria (NI), Ghana (GH) and Papua New, Guinea (PNG) were taken for the study. Widely accepted population analysis tools;, POPGene Ver.1.32, GenAlEx Ver. 6.5, Splits Tree Ver.4.15.1, STRUCTURE Ver., 2.3.4 and Structure Harvester Ver.6.0 and MVSP Ver.3.22 were used for data, interpretation. Results revealed that the highest diversity was observed in Thailand, population. Genetic diversity between populations was not related to geography. All the, Indian samples except PT-1 grouped together, one Thailand sample (PT-33) was, totally different from other Thailand samples and PT-69 of PNG highly distinct from, other samples. Cluster analysis revealed that four Thailand samples (PT-31, PT-32, PT-48, and PT-49) two Indian samples (PT-28 and PT-29) and two Thailand samples, (PT-42 and PT-46) are genetically closer with less Euclidean distance of 0, whereas, PT-39 showed a maximum distance of 0.87. From this study, PT-33 (EC 178272), PT-, 69 (EC 38821 P2) and PT-39 (EC 178291) could be labelled as genetic variants.</p></div>\",\"PeriodicalId\":38041,\"journal\":{\"name\":\"Plant Gene\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.2000,\"publicationDate\":\"2023-10-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Plant Gene\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2352407323000343\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"GENETICS & HEREDITY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Plant Gene","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2352407323000343","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"GENETICS & HEREDITY","Score":null,"Total":0}
Population diversity analysis of an underutilized legume, winged bean (Psophocarpus tetragonolobus (L.) DC.) using ISSR markers
Seventy genotypes of winged bean representing five populations, include the, genotypes from India (IN), Thailand (TH), Nigeria (NI), Ghana (GH) and Papua New, Guinea (PNG) were taken for the study. Widely accepted population analysis tools;, POPGene Ver.1.32, GenAlEx Ver. 6.5, Splits Tree Ver.4.15.1, STRUCTURE Ver., 2.3.4 and Structure Harvester Ver.6.0 and MVSP Ver.3.22 were used for data, interpretation. Results revealed that the highest diversity was observed in Thailand, population. Genetic diversity between populations was not related to geography. All the, Indian samples except PT-1 grouped together, one Thailand sample (PT-33) was, totally different from other Thailand samples and PT-69 of PNG highly distinct from, other samples. Cluster analysis revealed that four Thailand samples (PT-31, PT-32, PT-48, and PT-49) two Indian samples (PT-28 and PT-29) and two Thailand samples, (PT-42 and PT-46) are genetically closer with less Euclidean distance of 0, whereas, PT-39 showed a maximum distance of 0.87. From this study, PT-33 (EC 178272), PT-, 69 (EC 38821 P2) and PT-39 (EC 178291) could be labelled as genetic variants.
Plant GeneAgricultural and Biological Sciences-Plant Science
CiteScore
4.50
自引率
0.00%
发文量
42
审稿时长
51 days
期刊介绍：
Plant Gene publishes papers that focus on the regulation, expression, function and evolution of genes in plants, algae and other photosynthesizing organisms (e.g., cyanobacteria), and plant-associated microorganisms. Plant Gene strives to be a diverse plant journal and topics in multiple fields will be considered for publication. Although not limited to the following, some general topics include: Gene discovery and characterization, Gene regulation in response to environmental stress (e.g., salinity, drought, etc.), Genetic effects of transposable elements, Genetic control of secondary metabolic pathways and metabolic enzymes. Herbal Medicine - regulation and medicinal properties of plant products, Plant hormonal signaling, Plant evolutionary genetics, molecular evolution, population genetics, and phylogenetics, Profiling of plant gene expression and genetic variation, Plant-microbe interactions (e.g., influence of endophytes on gene expression; horizontal gene transfer studies; etc.), Agricultural genetics - biotechnology and crop improvement.
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