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Citation:

Diversity and Cluster Analysis on Phenotypic Traits and SSR of Olive Cultivars

  • Received Date: 2015-03-20
  • [Objective] With genetic markers and phenotypic data to identify olive cultivars and evaluation their genetic diversity.[Method] Taking 11 olive cultivars from Longnan, Gansu Province, as samples, the genetic diversity analysis and cluster analysis were conducted with 15 quantitative traits, 18 quality phenotypic traits and 8 SSR markers. [Result] For all the phenotypic traits, significant variability was found among the cultivars. The phenotypic diversity index of quantitative traits ranged from 1.579 to 2.088 as those of quality traits ranged from 0.362 to 1.091. A total of 51 alleles were detected for 8 SSR markers, while the number of alleles per locus reached an average of 5.9. With the phenotypic traits and SSR markers, 17 cultivars can be completely identified and distinguished. [Conclusion] The result of genetic distance analysis based on phenotypic traits and SSR markers showed similar genetic relationships between cultivars with somewhat differences between them. The SSR markers should be combined to identify cultivars with similar phenotypic traits.
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  • [1] 徐纬英. 中国油橄榄种质资源与利用[M]. 长春:长春出版社. 2001.

    [2] 邓明全,俞宁. 油橄榄引种栽培技术[M]. 北京:中国农业出版社. 2011.

    [3] 贺善安,顾姻. 油橄榄驯化引种[M]. 南京:江苏科学技术出版社. 1984.

    [4]

    Bartolini G, Prevost G, Messeri C, et al. Olive germplasm. Cultivars and World-Wide collections[M]. FAO, Rome. 1998.
    [5]

    Barranco D, Cimato A, Fiorino P, et al. World catalogue of olive varieties[M]. International Olive Council, Madrid. 2000.
    [6]

    Hannachi H, Breton C, Msallem M, et al. Differences between native and introduced olive cultivars as revealed by morphology of drupes, oil composition and SSR polymorphisms:a case study in Tunisia[J]. Scientia Horticulturae, 2008, 116(3):280-290.
    [7]

    Cipriani G, Marrazzo M, Marconi R, et al. Microsatellite markers isolated in olive (Olea europaea L.) are suitable for individual fingerprinting and reveal polymorphism within ancient cultivars[J]. Theoretical and Applied Genetics, 2002, 104(2-3):223-228
    [8]

    Carriero F, Fontanazza G, Cellini F, et al. Identification of simple sequence repeats (SSRs) in olive (Olea europaea L.)[J]. Theoretical and Applied Genetics, 2002, 104(2-3):301-307.
    [9]

    De la Rosa R, James C, Tobutt K. Isolation and characterization of polymorphic microsatellites in olive (Olea europaea L.) and their transferability to other genera in the Oleaceae[J]. Molecular Ecology Notes, 2002, 2(3):265-267.
    [10]

    Belaj A, Satovic Z, Cipriani G, et al. Comparative study of the discriminating capacity of RAPD, AFLP and SSR markers and of their effectiveness in establishing genetic relationships in olive[J]. Theoretical and Applied Genetics, 2003, 107(4):736-744.
    [11]

    Muzzalupo I, Stefanizzi F, Salimonti A, et al. Microsatellite markers for identification of a group of Italian olive accessions[J]. Scientia Agricola, 2009, 66(5):685-690.
    [12]

    Sefc K, Lopes M, Mendonça D, et al. Identification of microsatellite loci in olive (Olea europaea) and their characterization in Italian and Iberian olive trees[J]. Molecular Ecology, 2000, 9(8):1171-1173.
    [13]

    Haouane H, El Bakkali A, Moukhli A, et al. Genetic structure and core collection of the World Olive Germplasm Bank of Marrakech:towards the optimized management and use of Mediterranean olive genetic resources[J]. Genetica, 2011, 139:1083-1094.
    [14] 李金花,俞宁. 利用荧光SSR标记分析中国油橄榄品种遗传多样性[J]. 林业科学,2012,48(6):47-55.

    [15]

    Trujillo I, Ojeda M A, Urdiroz N M, et al. Identification of the worldwide olive germplasm bank of Córdoba (Spain) using SSR and morphological markers[J]. Tree Genetics & Genomes, 2014, 10(1):141-155.
    [16]

    Rao R, La Mura M, Corrado G, et al. Molecular diversity and genetic relationships of southern Italian olive cultivars as depicted by AFLP and morphological traits[J]. J Hortic Sci Biotechnol, 2009, 84(3):261-266.
    [17]

    Zaher H, Boulouha B, Baaziz M, et al. Morphological and genetic diversity in olive (Olea europaea subsp. europaea L.) clones and varieties[J]. Plant Omics J, 2011, 4(7):370-376.
    [18]

    Caruso T, Marra F, Costa F, et al. Genetic diversity and clonal variation within the main Sicilian olive cultivars based on morphological traits and microsatellite markers[J]. Scientia Horticulturae, 2014, 180:130-138.
    [19]

    Corrado G, La Mura M, Ambrosino O, et al. Relationships of Campania olive cultivars:comparative analysis of molecular and phenotypic data[J]. Genome, 2009, 52(8):692-700.
    [20]

    UPOV. Olive:Guidelines for the conduct of tests for distinctness, uniformity and stability[M]. TG/99/4. 2010
    [21]

    De la Rosa R, Belaj A, Muñoz-Mérida A, et al. Development of EST-derived SSR markers with long-core repeat in olive and their use for paternity testing[J]. Journal of the American Society for Horticultural Science, 2013, 138(4):290-296.
    [22] 王业社,侯伯鑫,索志力,等. 紫薇品种表型多样性分析[J]. 植物遗传资源学报, 2015, 16(1):71-79

    [23]

    Liu K J, Muse S V. PowerMarker:Integrated analysis environment for genetic marker data[J]. Bioinformatics, 2005, 21(9):2121-2129.
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Diversity and Cluster Analysis on Phenotypic Traits and SSR of Olive Cultivars

  • 1. State Key Laboratory of Tree Genetics and Breeding, Research Institute of Forestry, Chinese Academy of Forestry, Beijing 100091, China
  • 2. Liangshan Zhongze New Tech Development Co. Ltd., Xichang 615000, Sichuan, China

Abstract: [Objective] With genetic markers and phenotypic data to identify olive cultivars and evaluation their genetic diversity.[Method] Taking 11 olive cultivars from Longnan, Gansu Province, as samples, the genetic diversity analysis and cluster analysis were conducted with 15 quantitative traits, 18 quality phenotypic traits and 8 SSR markers. [Result] For all the phenotypic traits, significant variability was found among the cultivars. The phenotypic diversity index of quantitative traits ranged from 1.579 to 2.088 as those of quality traits ranged from 0.362 to 1.091. A total of 51 alleles were detected for 8 SSR markers, while the number of alleles per locus reached an average of 5.9. With the phenotypic traits and SSR markers, 17 cultivars can be completely identified and distinguished. [Conclusion] The result of genetic distance analysis based on phenotypic traits and SSR markers showed similar genetic relationships between cultivars with somewhat differences between them. The SSR markers should be combined to identify cultivars with similar phenotypic traits.

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