Genetic Analysis of Tomato Fruit Ripening at Polypeptide Profiles Level through Quantitative and Multivariate Approaches
| العنوان: | Genetic Analysis of Tomato Fruit Ripening at Polypeptide Profiles Level through Quantitative and Multivariate Approaches |
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| المؤلفون: | Ezequiel Marchionni Basté, Javier Hernán Pereira da Costa, Roxana Zorzoli, Gustavo Rubén Rodríguez, Guillermo Raúl Pratta |
| المصدر: | CONICET Digital (CONICET) Consejo Nacional de Investigaciones Científicas y Técnicas instacron:CONICET |
| بيانات النشر: | Scientific Research Publishing, Inc., 2014. |
| سنة النشر: | 2014 |
| مصطلحات موضوعية: | Proteomics, Genetics, Multivariate statistics, Multivariate analysis, Agricultura, Overdominance, Plant Genetic Resources, General Medicine, Mating design, Biology, Heritability, Quantitative trait locus, Diallel cross, Solanum lycopersicum, CIENCIAS AGRÍCOLAS, purl.org/becyt/ford/4.1 [https], Cluster Analysis, Inheritance Patterns, Agricultura, Silvicultura y Pesca, purl.org/becyt/ford/4 [https] |
| الوصف: | 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 Fil: Marchionni Basté, Ezequiel. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Rosario. Facultad de Cs.agrarias. Departamento de Biologia. Cat.de Genetica; Argentina Fil: Pereira Da Costa, Javier Hernán. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Rosario. Facultad de Cs.agrarias. Departamento de Biologia. Cat.de Genetica; Argentina Fil: Rodríguez, Gustavo Rubén. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Rosario. Facultad de Cs.agrarias. Departamento de Biologia. Cat.de Genetica; Argentina Fil: Zorzoli, Roxana. Universidad Nacional de Rosario. Facultad de Cs.agrarias. Departamento de Biologia. Cat.de Genetica; Argentina. Universidad Nacional de Rosario. Consejo de Investigaciones; Argentina Fil: Pratta, Guillermo Raúl. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Rosario. Facultad de Cs.agrarias. Departamento de Biologia. Cat.de Genetica; Argentina |
| وصف الملف: | application/pdf |
| تدمد: | 2158-2750 2158-2742 |
| الوصول الحر: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::094ba00bd5b60ae609ed742c390348f1Test https://doi.org/10.4236/ajps.2014.513206Test |
| حقوق: | OPEN |
| رقم الانضمام: | edsair.doi.dedup.....094ba00bd5b60ae609ed742c390348f1 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 21582750 21582742 |
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