Systems View Of The Soybean Genetic Mechanisms Involved In The Response To Plant Pathogen Infection

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dc.contributor.authorKrampis, Konstantinosen
dc.contributor.committeechairSaghai-Maroof, Mohammad A.en
dc.contributor.committeememberMurali, T. M.en
dc.contributor.committeememberTyler, Brett M.en
dc.contributor.committeememberHoeschele, Inaen
dc.contributor.committeememberRamakrishnan, Narenen
dc.contributor.departmentGenetics, Bioinformatics, and Computational Biologyen
dc.date.accessioned2014-03-14T21:10:37Zen
dc.date.adate2009-06-04en
dc.date.available2014-03-14T21:10:37Zen
dc.date.issued2009-04-17en
dc.date.rdate2009-06-04en
dc.date.sdate2009-04-28en
dc.description.abstractThis thesis involves the important crop plant soybean (Glycine max), and provides a rich information resource for breeders and geneticists working towards improving traits for pathogen resistance.Results reported here provide a systemic view at both the genetic and biochemical level, and were generated by data-mining gene expression data from soybean cultivars inoculated with plant pathogens and also recombinant inbred line (RIL) populations.The genome variability based on Single Feature Polymorphisms (SFPs) was measured for the first time in soybean, using a genetically diverse set of cultivated G. max lines and also a G. soja line. Additionally, a genetic map spanning all 20 soybean chromosomes groups were assembled in a large RIL population.The well studied metabolic pathways from the model plant Arabidopsis thaliana, were reconstructed in G. max based on sequence similarity comparison between the genomes of the two species. We performed algorithmic analysis of pathways in our set of soybean lines and RILs using the gene expression data, and acquired a systemic view of the metabolic response to pathogen infection in different genetic backgrounds.Significant differences in the patterns of pathway perturbation was observed in the different lines, and also between four different chromosomal regions that have been known to contain genetic elements contributing to pathogen resistance.en
dc.description.degreePh. D.en
dc.identifier.otheretd-04282009-134422en
dc.identifier.sourceurlhttp://scholar.lib.vt.edu/theses/available/etd-04282009-134422/en
dc.identifier.urihttp://hdl.handle.net/10919/37672en
dc.publisherVirginia Techen
dc.relation.haspartKonstantinos_Krampis_Doctoral_Dissertation_GBCB.pdfen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectgenetic mappingen
dc.subjectpathogen resistanceen
dc.subjectpathway perturbationen
dc.subjectSingle Feature Polymorphismen
dc.subjectgene expressionen
dc.subjectsoybeanen
dc.subjectgenetic markersen
dc.titleSystems View Of The Soybean Genetic Mechanisms Involved In The Response To Plant Pathogen Infectionen
dc.typeDissertationen
thesis.degree.disciplineGenetics, Bioinformatics, and Computational Biologyen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.leveldoctoralen
thesis.degree.namePh. D.en

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