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dc.contributor.advisorBilyeu, Kristineng
dc.contributor.authorDietz, Nicholas Andreweng
dc.date.issued2021eng
dc.date.submitted2021 Falleng
dc.description.abstractThe abundance of genomic data produced by the research community in the last decade has offered an unprecedented view into the variation present in the soybean genome and has been exploited to uncover the genetic architecture of important agronomic traits. In this work, I utilized resequence and genetic marker data to show the geographic distribution of natural variation in the E1La gene and that it likely played a major role in migration of wild soybean to higher latitudes. I further demonstrated that this variant allele could be utilized to promote maturity in both an e1-as and E1 background. An induced mutation of the E1Lb gene also promoted maturity, although its effect was only observed in an e1-as background. By pooling together resequenced accessions from several published works, I developed a catalogue containing an allele for every gene in the genome of [greater than] 1000 soybean accessions. Using latitude of origination as a proxy for relative flowering time, I tested [greater than] 100 soybean orthologues of Arabidopsis flowering genes for their allele distribution among the subset of US cultivars in this catalogue and identified eight candidate genes likely playing a role in reproductive timing of US soybean. I also used this resource to compare the allele composition of these US cultivars to 16 of the major North American ancestor lines from which they are derived. From this analysis, I highlighted regions of the genome which have experienced artificial selection during US breeding efforts and found that over 60 percent of genes are fixed or nearly fixed for a single allele. Taken together, these data will facilitate breeder selection for appropriate maturity in their programs and define a framework for identifying regions of genetic variation and fixation in their germplasm.eng
dc.description.bibrefIncludes bibliographical references.eng
dc.format.extentx, 387 pages : illustrations (color)eng
dc.identifier.urihttps://hdl.handle.net/10355/93225
dc.identifier.urihttps://doi.org/10.32469/10355/93225eng
dc.languageEnglisheng
dc.publisherUniversity of Missouri--Columbiaeng
dc.titleApplied genomics toward targeted improvement of soybeaneng
dc.typeThesiseng
thesis.degree.disciplinePlant Insect and Microbial Sciences (MU)eng
thesis.degree.levelDoctoraleng
thesis.degree.namePh. D.eng


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