{"title":"利用RAPD标记估计印度尼西亚南苏拉威西地区柑橘属的遗传多样性","authors":"Mustika Tuwo, Tutik Kuswinanti, Andi Nasruddin, Elis Tambaru","doi":"10.1155/2023/6676038","DOIUrl":null,"url":null,"abstract":"Oranges hold significant economic importance, being cultivated extensively worldwide and having a large global market. Indonesia, ranked eighth globally as a producer of oranges, is one of the countries with high genetic diversity of oranges. This diversity is distributed across various regions of Indonesia, including South Sulawesi. Despite the advancements in DNA-based molecular marker techniques for assessing genetic diversity, information on orange diversity in South Sulawesi is currently unavailable and under-researched. In this study, random amplified polymorphic DNA (RAPD) markers were utilized to analyze the genetic diversity of oranges in five production centers in South Sulawesi. Leaf samples of 13 orange varieties were collected from the five production centers: Pangkep, Sidrap, Bantaeng, North Luwu, and Selayar in South Sulawesi, Indonesia. Genomic DNA extraction from the orange leaves followed the protocol of the DNA Mini Kit Geneaid. DNA amplification was carried out using the RAPD method with 14 primers: OPE-04, OPH-04, OPH-15, OPN-14, OPN-16, OPR-08, OPR-20, OPW-06, OPW-09, OPX-07, OPX-11, OPX-17, UBC-18, and UBC-51. The RAPD primers yielded 109 amplified fragments ranging in size from 200 to 2000 base pairs (bp), and all RAPD primers showed 100% polymorphism. The genetic diversity value (He) of oranges in South Sulawesi was moderate (0.236). Cluster analysis based on a similarity coefficient of 77% divided the 175 orange genotypes into five groups. The most closely related genotypes were SB6 and SB7, exhibiting 100% similarity, followed by genotypes JS8 and JS9 and JS13 and JS17, with genetic similarities exceeding 99% for each pair. Genotypes P9 and SI5 displayed the highest genetic distance, with a similarity coefficient of 57%. The dendrogram diagram can serve as a basis for selecting desired plant traits in the improvement of plant characteristics through both conventional breeding and genetic engineering activities.","PeriodicalId":21726,"journal":{"name":"Scientifica","volume":" 5","pages":"0"},"PeriodicalIF":2.3000,"publicationDate":"2023-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Estimating the Genetic Diversity of Oranges Citrus spp. in South Sulawesi, Indonesia, Using RAPD Markers\",\"authors\":\"Mustika Tuwo, Tutik Kuswinanti, Andi Nasruddin, Elis Tambaru\",\"doi\":\"10.1155/2023/6676038\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Oranges hold significant economic importance, being cultivated extensively worldwide and having a large global market. Indonesia, ranked eighth globally as a producer of oranges, is one of the countries with high genetic diversity of oranges. This diversity is distributed across various regions of Indonesia, including South Sulawesi. Despite the advancements in DNA-based molecular marker techniques for assessing genetic diversity, information on orange diversity in South Sulawesi is currently unavailable and under-researched. In this study, random amplified polymorphic DNA (RAPD) markers were utilized to analyze the genetic diversity of oranges in five production centers in South Sulawesi. Leaf samples of 13 orange varieties were collected from the five production centers: Pangkep, Sidrap, Bantaeng, North Luwu, and Selayar in South Sulawesi, Indonesia. Genomic DNA extraction from the orange leaves followed the protocol of the DNA Mini Kit Geneaid. DNA amplification was carried out using the RAPD method with 14 primers: OPE-04, OPH-04, OPH-15, OPN-14, OPN-16, OPR-08, OPR-20, OPW-06, OPW-09, OPX-07, OPX-11, OPX-17, UBC-18, and UBC-51. The RAPD primers yielded 109 amplified fragments ranging in size from 200 to 2000 base pairs (bp), and all RAPD primers showed 100% polymorphism. The genetic diversity value (He) of oranges in South Sulawesi was moderate (0.236). Cluster analysis based on a similarity coefficient of 77% divided the 175 orange genotypes into five groups. The most closely related genotypes were SB6 and SB7, exhibiting 100% similarity, followed by genotypes JS8 and JS9 and JS13 and JS17, with genetic similarities exceeding 99% for each pair. Genotypes P9 and SI5 displayed the highest genetic distance, with a similarity coefficient of 57%. The dendrogram diagram can serve as a basis for selecting desired plant traits in the improvement of plant characteristics through both conventional breeding and genetic engineering activities.\",\"PeriodicalId\":21726,\"journal\":{\"name\":\"Scientifica\",\"volume\":\" 5\",\"pages\":\"0\"},\"PeriodicalIF\":2.3000,\"publicationDate\":\"2023-11-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Scientifica\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1155/2023/6676038\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Scientifica","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1155/2023/6676038","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BIOLOGY","Score":null,"Total":0}
引用次数: 0
摘要
橙子具有重要的经济意义,在世界范围内被广泛种植,拥有巨大的全球市场。印度尼西亚是全球排名第八的橙子生产国,是橙子遗传多样性高的国家之一。这种多样性分布在印度尼西亚的各个地区,包括南苏拉威西岛。尽管基于dna的分子标记技术在评估遗传多样性方面取得了进展,但关于南苏拉威西橙子多样性的信息目前还无法获得,而且研究不足。本研究利用随机扩增多态性DNA (RAPD)标记对南苏拉威西5个生产中心的橙子进行遗传多样性分析。从印度尼西亚南苏拉威西省的Pangkep、Sidrap、Bantaeng、North Luwu和Selayar五个生产中心收集了13个橙子品种的叶片样本。按照DNA Mini Kit Geneaid的程序提取橙叶基因组DNA。采用RAPD法扩增DNA,引物为:OPE-04、opho -04、opho -15、OPN-14、OPN-16、OPR-08、OPR-20、OPW-06、OPW-09、OPX-07、OPX-11、OPX-17、UBC-18、UBC-51。RAPD引物扩增出109个片段,片段大小在200 ~ 2000个碱基对(bp)之间,所有RAPD引物多态性均为100%。南苏拉威西地区柑橘遗传多样性值为中等(0.236)。基于77%相似系数的聚类分析将175个橙色基因型分为5组。亲缘关系最密切的基因型是SB6和SB7,相似度为100%,其次是JS8和JS9,以及JS13和JS17,遗传相似度均超过99%。基因型P9和SI5遗传距离最高,相似系数为57%。该树状图可作为常规育种和基因工程改良中选择所需植物性状的依据。
Estimating the Genetic Diversity of Oranges Citrus spp. in South Sulawesi, Indonesia, Using RAPD Markers
Oranges hold significant economic importance, being cultivated extensively worldwide and having a large global market. Indonesia, ranked eighth globally as a producer of oranges, is one of the countries with high genetic diversity of oranges. This diversity is distributed across various regions of Indonesia, including South Sulawesi. Despite the advancements in DNA-based molecular marker techniques for assessing genetic diversity, information on orange diversity in South Sulawesi is currently unavailable and under-researched. In this study, random amplified polymorphic DNA (RAPD) markers were utilized to analyze the genetic diversity of oranges in five production centers in South Sulawesi. Leaf samples of 13 orange varieties were collected from the five production centers: Pangkep, Sidrap, Bantaeng, North Luwu, and Selayar in South Sulawesi, Indonesia. Genomic DNA extraction from the orange leaves followed the protocol of the DNA Mini Kit Geneaid. DNA amplification was carried out using the RAPD method with 14 primers: OPE-04, OPH-04, OPH-15, OPN-14, OPN-16, OPR-08, OPR-20, OPW-06, OPW-09, OPX-07, OPX-11, OPX-17, UBC-18, and UBC-51. The RAPD primers yielded 109 amplified fragments ranging in size from 200 to 2000 base pairs (bp), and all RAPD primers showed 100% polymorphism. The genetic diversity value (He) of oranges in South Sulawesi was moderate (0.236). Cluster analysis based on a similarity coefficient of 77% divided the 175 orange genotypes into five groups. The most closely related genotypes were SB6 and SB7, exhibiting 100% similarity, followed by genotypes JS8 and JS9 and JS13 and JS17, with genetic similarities exceeding 99% for each pair. Genotypes P9 and SI5 displayed the highest genetic distance, with a similarity coefficient of 57%. The dendrogram diagram can serve as a basis for selecting desired plant traits in the improvement of plant characteristics through both conventional breeding and genetic engineering activities.
期刊介绍:
Scientifica is a peer-reviewed, Open Access journal that publishes research articles, review articles, and clinical studies covering a wide range of subjects in the life sciences, environmental sciences, health sciences, and medicine. The journal is divided into the 65 subject areas.