Welcome to visit Scientia Silvae Sinicae，Today is

Scientia Silvae Sinicae ›› 2015, Vol. 51 ›› Issue (1): 157-164.doi: 10.11707/j.1001-7488.20150119

Previous Articles     Next Articles

Genetic Diversity of Olive Varieties Based on SRAP Markers

Zhan Mingming1, Yang Yi2, Cheng Zizhang1, Su Guangcan3, Hu Wei3, Chen Huaping1, Huang Qianming1   

  1. 1. College of Science, Sichuan Agricultural University Ya'an 625014;
    2. College of Life Sciences, Sichuan Agricultural University Ya'an 625014;
    3. Sichuan Liangshan New Technology Development Co., Ltd. Xichang 615000
  • Received:2014-04-01 Revised:2014-10-22 Online:2015-01-25 Published:2015-01-23

PDF (PC)

995

Abstract:

[Objective]As an important economic crop, the value of olive(Olea europaea) for health has been paid more and more attention. And the olive industry in China has reached a certain scale. Mislabeling and synonyms in introduced varieties have affected the development of China's olive industry. So there is a need to assess genetic variation of olive varieties in China. [Method]SRAP technology was applied to conduct genetic diversity analysis for 32 olive varieties from Xichang, Sichuan Province. 5 olive varieties among them were bred in China and 27 varieties were introduced. Genomic DNA was extracted for 32 olive varieties by the improved CTAB method. [Result]A total of 293 (90.75%) polymorphic bands were amplified by 25 pairs of primers and 11.72 polymorphic bands in average were amplified from each pair of primers. The most polymorphic bands (37) were amplified by primers M5E5. The expected heterozygoisty (He) varied from 0.804 to 0.958 (mean, 0.896), while the values of polymorphic information content(PIC) varied from 0.773 to 0.955 (mean, 0.884). The probability of identity (PI) varied from 0.004 to 0.067 (mean, 0.024). As the clustering analysis indicated, all varieties could be clustered into 3 groups and the genetic similarity (GS) varied from 0.59 to 0.89 (mean, 0.74). The highest genetic similarity between two varieties (‘Greece 3#’ and ‘Pendolino’) was 0.89. Varieties bred in China were distributed in 3 groups. ‘Zhongshan 24’ was developed from seedling selection of ‘Ascolana Tenera’, which displayed high similarity in both morphology and genetics. This further proved the relations between varieties bred in China and introduced foreign varieties. ‘Mixaj I Dukat’-‘Mixaj’ and ‘Greece 3#’-‘Pendolino’ were clustered together with high genetic similarity. The PCA analysis indicated that all varieties could be clustered into 3 groups explaining 20.8% of the total variation. Varieties of the group Ⅰ of PCA analysis were all contained cluster Ⅱ of UPGMA, indicating consistence between the two ways of analysis. [Conclusion]According to the morphology of different olive varieties (fruit mass, oil content, leaf shape etc.) and genetic (breeding background and genetic similarity etc.) data, the cluster of some introduced varieties were not in consistence with their geographical origins, probably due to both genetic and morphological data. SRAPs can be applied to olive genetic diversity analysis more simply and reliably. The introduced olive varieties displayed a genetic diversity, and there were confusions of variety names and high genetic variation due to environment effects. In the future, SRAP markers and other new molecular markers can be used to further analyze genetic diversity and germplasm identification. Moreover, new technologies of gene mapping and identification of gene functions can be also used to construct high-density genetic linkage maps. Traditional breeding and molecular markers should be integrated to accelerate the process of breeding.

Key words: Olea europaea, SRAP, genetic diversity

CLC Number: