Nagaraj Gokavi , P.M. Gangadharappa , D. Satish , S. Nishani , J.S. Hiremath , S. Koulagi
{"title":"利用形态学和分子标记(SRAP)分析外来阿拉比卡咖啡基因型的表型和基因型变异性","authors":"Nagaraj Gokavi , P.M. Gangadharappa , D. Satish , S. Nishani , J.S. Hiremath , S. Koulagi","doi":"10.1016/j.egg.2023.100214","DOIUrl":null,"url":null,"abstract":"<div><p><span><em>Coffea arabica</em></span><span><span> is said to have low genetic variability, however more information is still needed about the extent of diversity present in the arabica coffee gene pool by evaluating existing genetic resources present in India. The study therefore was conducted to assess the phenotypic and genotypic variability in arabica coffee </span>germplasm accessions. Significant variation was observed among coffee accessions for the traits studied indicating the presence of diversity. Out of 20 traits, per cent ‘A’ grade bean contributed maximum to the diversity (63.29 %). The 41 arabica coffee accessions were grouped into six clusters. The maximum intra-cluster and inter cluster distance (D</span><sup>2</sup> = 737.34) was revealed by cluster V (7 genotypes) and cluster II and VI (D<sup>2</sup><span> = 8544.21), respectively. Principle Component Analysis displayed 79.50% of variability. Observations on Coffee Leaf Rust disease incidence showed that mean disease severity infection was ranged from 1.34 to 32.67%. On the other hand, molecular analysis of 10 SRAP primers established high rate of polymorphism with an average PIC value of 0.74. The UPGMA clustering grouped arabica coffee genotypes into two major clusters. The similarity matrix coefficient was ranged from 0 to 94%. SRAP marker demonstrated high polymorphism rate can be utilized for future crop improvement program in coffee. Study established high phenotypic but low genetic diversity among the arabica coffee accessions based on morphological and molecular markers, respectively and identified high yielding, coffee leaf rust disease resistant accessions which showed possibility of developing improved varieties through breeding.</span></p></div>","PeriodicalId":37938,"journal":{"name":"Ecological Genetics and Genomics","volume":"29 ","pages":"Article 100214"},"PeriodicalIF":0.0000,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Phenotypic and genotypic variability among exotic arabica coffee genotypes using morphological and molecular markers (SRAP)\",\"authors\":\"Nagaraj Gokavi , P.M. Gangadharappa , D. Satish , S. Nishani , J.S. Hiremath , S. Koulagi\",\"doi\":\"10.1016/j.egg.2023.100214\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p><span><em>Coffea arabica</em></span><span><span> is said to have low genetic variability, however more information is still needed about the extent of diversity present in the arabica coffee gene pool by evaluating existing genetic resources present in India. The study therefore was conducted to assess the phenotypic and genotypic variability in arabica coffee </span>germplasm accessions. Significant variation was observed among coffee accessions for the traits studied indicating the presence of diversity. Out of 20 traits, per cent ‘A’ grade bean contributed maximum to the diversity (63.29 %). The 41 arabica coffee accessions were grouped into six clusters. The maximum intra-cluster and inter cluster distance (D</span><sup>2</sup> = 737.34) was revealed by cluster V (7 genotypes) and cluster II and VI (D<sup>2</sup><span> = 8544.21), respectively. Principle Component Analysis displayed 79.50% of variability. Observations on Coffee Leaf Rust disease incidence showed that mean disease severity infection was ranged from 1.34 to 32.67%. On the other hand, molecular analysis of 10 SRAP primers established high rate of polymorphism with an average PIC value of 0.74. The UPGMA clustering grouped arabica coffee genotypes into two major clusters. The similarity matrix coefficient was ranged from 0 to 94%. SRAP marker demonstrated high polymorphism rate can be utilized for future crop improvement program in coffee. Study established high phenotypic but low genetic diversity among the arabica coffee accessions based on morphological and molecular markers, respectively and identified high yielding, coffee leaf rust disease resistant accessions which showed possibility of developing improved varieties through breeding.</span></p></div>\",\"PeriodicalId\":37938,\"journal\":{\"name\":\"Ecological Genetics and Genomics\",\"volume\":\"29 \",\"pages\":\"Article 100214\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-12-01\",\"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/S2405985423000551\",\"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/S2405985423000551","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Agricultural and Biological Sciences","Score":null,"Total":0}
Phenotypic and genotypic variability among exotic arabica coffee genotypes using morphological and molecular markers (SRAP)
Coffea arabica is said to have low genetic variability, however more information is still needed about the extent of diversity present in the arabica coffee gene pool by evaluating existing genetic resources present in India. The study therefore was conducted to assess the phenotypic and genotypic variability in arabica coffee germplasm accessions. Significant variation was observed among coffee accessions for the traits studied indicating the presence of diversity. Out of 20 traits, per cent ‘A’ grade bean contributed maximum to the diversity (63.29 %). The 41 arabica coffee accessions were grouped into six clusters. The maximum intra-cluster and inter cluster distance (D2 = 737.34) was revealed by cluster V (7 genotypes) and cluster II and VI (D2 = 8544.21), respectively. Principle Component Analysis displayed 79.50% of variability. Observations on Coffee Leaf Rust disease incidence showed that mean disease severity infection was ranged from 1.34 to 32.67%. On the other hand, molecular analysis of 10 SRAP primers established high rate of polymorphism with an average PIC value of 0.74. The UPGMA clustering grouped arabica coffee genotypes into two major clusters. The similarity matrix coefficient was ranged from 0 to 94%. SRAP marker demonstrated high polymorphism rate can be utilized for future crop improvement program in coffee. Study established high phenotypic but low genetic diversity among the arabica coffee accessions based on morphological and molecular markers, respectively and identified high yielding, coffee leaf rust disease resistant accessions which showed possibility of developing improved varieties through breeding.
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