{"title":"利用简单序列重复标记探索埃塞俄比亚南部箭竹[Ensete ventricosum (Welw.) cheesman]的遗传多样性范围和种群结构:对作物改良和保护的意义","authors":"Tesfaye Dilebo , Tileye Feyissa , Zemede Asfaw , Fekadu Gadissa","doi":"10.1016/j.egg.2024.100218","DOIUrl":null,"url":null,"abstract":"<div><p>Enset (<em>Ensete ventricosum</em><span>) is a multi-use perennial herbaceous crop used as a staple food<span><span> for over 20 million people in Ethiopia. Despite its high use values, very few studies have been conducted to improve this crop, particularly using molecular marker<span><span> systems. In this context, the study aimed at evaluating the magnitude of genetic diversity and population structure of enset </span>germplasm collections from four major enset growing zones in southern Ethiopia using 12 </span></span>simple sequence repeat<span><span> (SSR) markers. A total of 147 individual leaf samples were collected from the entire enset populations and gave 289 alleles, ranging from 12 to 41 alleles per locus, with a mean of 24.5. The polymorphism information content for each locus varied from 0.86 to 0.95, with a mean of 0.91. The number of effective alleles ranged from 5.13 to 11.79 with a mean of 8.27. The expected and observed heterozygosity showed average values of 0.85 and 0.84, respectively. The greatest genetic distance (1.16) was between Gurage and wild populations, while the shortest (0.37) was between Gurage and Silte. Among the six populations, the wild had the highest percentage of </span>polymorphic loci (100%). AMOVA attributed 89% of the genetic variation to intra-population and only 11% to among populations. The whole set of germplasm indicates low genetic differentiation and high gene flow (Nm). The UPGMA and principal coordinates largely correspond to each other and indicate three major groups. Overall, the information gained from this study would be useful for enset improvements and conservation strategies.</span></span></span></p></div>","PeriodicalId":37938,"journal":{"name":"Ecological Genetics and Genomics","volume":"30 ","pages":"Article 100218"},"PeriodicalIF":0.0000,"publicationDate":"2024-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Exploring the extents of genetic diversity and population structure of enset [Ensete ventricosum (Welw.) cheesman] from southern Ethiopia using simple sequence repeat markers: Implications for crop improvement and conservation\",\"authors\":\"Tesfaye Dilebo , Tileye Feyissa , Zemede Asfaw , Fekadu Gadissa\",\"doi\":\"10.1016/j.egg.2024.100218\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Enset (<em>Ensete ventricosum</em><span>) is a multi-use perennial herbaceous crop used as a staple food<span><span> for over 20 million people in Ethiopia. Despite its high use values, very few studies have been conducted to improve this crop, particularly using molecular marker<span><span> systems. In this context, the study aimed at evaluating the magnitude of genetic diversity and population structure of enset </span>germplasm collections from four major enset growing zones in southern Ethiopia using 12 </span></span>simple sequence repeat<span><span> (SSR) markers. A total of 147 individual leaf samples were collected from the entire enset populations and gave 289 alleles, ranging from 12 to 41 alleles per locus, with a mean of 24.5. The polymorphism information content for each locus varied from 0.86 to 0.95, with a mean of 0.91. The number of effective alleles ranged from 5.13 to 11.79 with a mean of 8.27. The expected and observed heterozygosity showed average values of 0.85 and 0.84, respectively. The greatest genetic distance (1.16) was between Gurage and wild populations, while the shortest (0.37) was between Gurage and Silte. Among the six populations, the wild had the highest percentage of </span>polymorphic loci (100%). AMOVA attributed 89% of the genetic variation to intra-population and only 11% to among populations. The whole set of germplasm indicates low genetic differentiation and high gene flow (Nm). The UPGMA and principal coordinates largely correspond to each other and indicate three major groups. Overall, the information gained from this study would be useful for enset improvements and conservation strategies.</span></span></span></p></div>\",\"PeriodicalId\":37938,\"journal\":{\"name\":\"Ecological Genetics and Genomics\",\"volume\":\"30 \",\"pages\":\"Article 100218\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-01-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Ecological Genetics and Genomics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2405985424000028\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Agricultural and Biological Sciences\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ecological Genetics and Genomics","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2405985424000028","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Agricultural and Biological Sciences","Score":null,"Total":0}
Exploring the extents of genetic diversity and population structure of enset [Ensete ventricosum (Welw.) cheesman] from southern Ethiopia using simple sequence repeat markers: Implications for crop improvement and conservation
Enset (Ensete ventricosum) is a multi-use perennial herbaceous crop used as a staple food for over 20 million people in Ethiopia. Despite its high use values, very few studies have been conducted to improve this crop, particularly using molecular marker systems. In this context, the study aimed at evaluating the magnitude of genetic diversity and population structure of enset germplasm collections from four major enset growing zones in southern Ethiopia using 12 simple sequence repeat (SSR) markers. A total of 147 individual leaf samples were collected from the entire enset populations and gave 289 alleles, ranging from 12 to 41 alleles per locus, with a mean of 24.5. The polymorphism information content for each locus varied from 0.86 to 0.95, with a mean of 0.91. The number of effective alleles ranged from 5.13 to 11.79 with a mean of 8.27. The expected and observed heterozygosity showed average values of 0.85 and 0.84, respectively. The greatest genetic distance (1.16) was between Gurage and wild populations, while the shortest (0.37) was between Gurage and Silte. Among the six populations, the wild had the highest percentage of polymorphic loci (100%). AMOVA attributed 89% of the genetic variation to intra-population and only 11% to among populations. The whole set of germplasm indicates low genetic differentiation and high gene flow (Nm). The UPGMA and principal coordinates largely correspond to each other and indicate three major groups. Overall, the information gained from this study would be useful for enset improvements and conservation strategies.
期刊介绍:
Ecological Genetics and Genomics publishes ecological studies of broad interest that provide significant insight into ecological interactions or/ and species diversification. New data in these areas are published as research papers, or methods and resource reports that provide novel information on technologies or tools that will be of interest to a broad readership. Complete data sets are shared where appropriate. The journal also provides Reviews, and Perspectives articles, which present commentary on the latest advances published both here and elsewhere, placing such progress in its broader biological context. Topics include: -metagenomics -population genetics/genomics -evolutionary ecology -conservation and molecular adaptation -speciation genetics -environmental and marine genomics -ecological simulation -genomic divergence of organisms