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Detecting Nitrogen Responsive Genes for Improvement of Nitrogen Use Efficiency

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dc.contributor.advisor McNicholas, Paul
dc.contributor.advisor Rothstein, Steven Yingyu, Chen 2011-12-20 2011-12-23T17:47:33Z 2011-12-23T17:47:33Z 2011-12-23
dc.description.abstract A principal concern in crop agriculture is yield, and a key factor for crop growth is the availability of nitrogen. The large amount of nitrogen fertilizer required by plants is a major cost to farmers. Moreover, environmental issues such as groundwater pollution arise from the utilization of nitrogen fertilizers. Therefore, improvement in the nitrogen use efficiency (NUE) of plants is of urgent importance for sustainable and efficient agriculture. Although hybrid varieties have increased crop yields in low N conditions, the molecular mechanism of plant adaptation to N stress is not completely understood. Herein, the study of responses to N limitations in the natural signalling pathways of model plants facilitates the understanding of complex responses in plants to N stress, and this information can be used to further improve NUE. In this research, the transcriptomes of three model plants Arabidopsis, maize, and rice were compared under diverse N growth conditions. An evaluation of the response of the three plants to varying N levels was also conducted. From a statistical point of view, three distinct methods of detecting differential expression were utilized to reduce the likelihood of false positives due to the tens of thousands of genes simultaneously studied. Furthermore, the performance of three statistical approaches was compared during detection of the N-responsive genes. Finally, a clustering analysis (agglomerative hierarchical clustering) was performed on the genes that significantly responded to N levels as identified by a more biologically intuitive method called Rank Products (RP). en_US
dc.language.iso en en_US
dc.rights.uri *
dc.subject microarray en_US
dc.subject Nitrogen en_US
dc.subject differentially expressed genes en_US
dc.title Detecting Nitrogen Responsive Genes for Improvement of Nitrogen Use Efficiency en_US
dc.type Thesis en_US Bioinformatics en_US Master of Science en_US Department of Mathematics and Statistics en_US

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