Detecting Nitrogen Responsive Genes for Improvement of Nitrogen Use Efficiency

The Atrium, University of Guelph Institutional Repository

Detecting Nitrogen Responsive Genes for Improvement of Nitrogen Use Efficiency

Show simple item record

dc.contributor.advisor McNicholas, Paul
dc.contributor.advisor Rothstein, Steven
dc.contributor.author Yingyu, Chen
dc.date 2011-12-20
dc.date.accessioned 2011-12-23T17:47:33Z
dc.date.available 2011-12-23T17:47:33Z
dc.date.issued 2011-12-23
dc.identifier.uri http://hdl.handle.net/10214/3220
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 http://creativecommons.org/licenses/by-nc-nd/2.5/ca/ *
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
dc.degree.programme Bioinformatics en_US
dc.degree.name Master of Science en_US
dc.degree.department Department of Mathematics and Statistics en_US


Files in this item

Files Size Format View
MSc thesis.pdf 8.361Mb PDF View/Open

This item appears in the following Collection(s)

Show simple item record

http://creativecommons.org/licenses/by-nc-nd/2.5/ca/ Except where otherwise noted, this item's license is described as http://creativecommons.org/licenses/by-nc-nd/2.5/ca/

Search the Atrium


Advanced Search

Browse

My Account