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Genetic Analysis of Tomato Fruit Ripening at Polypeptide Profiles Level through Quantitative and Multivariate Approaches

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American Journal of Plant Sciences 2014年第13期5卷 1926-1935页

作者： Ezequiel Marchionni Basté Javier H. Pereira da Costa Gustavo R. Rodríguez Roxana Zorzoli Guillermo R. Pratta genetics cathedra Faculty of Agronomy Sciences National University of Rosario Experimental Field “José F. Villarino” Zavalla Argentina Council of Researchs of the National University of Rosario (CIUNR) Zavalla Argentina National Council of Scientific and Technical Researchs (CONICET) Zavalla Argentina. Genetics Cathedra Faculty of Agronomy Sciences National University of Rosario Experimental Field “José F. Villarino” Zavalla Argentina

Multivariate analysis became essential in functional and structural Genomics because of the large quantity of biological data provided by these new research areas. Diallel mating design was widely applied to analyze the heritability of quantitative traits but it was recently used for approaching to the inheritance patterns of other levels of gene expression such as transcript profiles. Investigating the inheritance pattern of total polypeptide profiles with a diallel design remains as a vacancy subject. The objective of the present research was to infer the inheritance of total polypeptides profiles from tomato pericarp tissue at four different ripening stages in a diallel mating design including five recombinant inbred lines (RILs) and their ten second cycle hybrids (SCH). To achieve this objective, a multivariate analysis was applied to identify eventual inheritance patterns through a data mining approach and then univariate analyses were used to verify these patterns. Mainly dominance and also overdominance, though in a minor percentage, contributed to the gene actions involved in their genetic basis. Multivariate analysis was efficient in identifying inheritance patterns of total polypeptide profiles through a data mining approach, and univariate analyses largely verified the identified gene actions.

关键词： Solanum lycopersicum Plant Genetic Resources Proteomics Cluster Analysis

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