Metabolomics based annotation of novel genes in Arabidopsis thaliana
dc.contributor.advisor | Basil J. Nikolau | |
dc.contributor.author | Moon, Stephanie | |
dc.contributor.department | Roy J. Carver Department of Biochemistry, Biophysics and Molecular Biology (LAS) | |
dc.date | 2018-08-11T12:31:39.000 | |
dc.date.accessioned | 2020-06-30T02:33:24Z | |
dc.date.available | 2020-06-30T02:33:24Z | |
dc.date.copyright | Tue Jan 01 00:00:00 UTC 2008 | |
dc.date.embargo | 2013-06-05 | |
dc.date.issued | 2008-01-01 | |
dc.description.abstract | <p>Of the approximately 30,000 genes that are predicted to be in the Arabidopsis genome, the function of a large proportion is experimentally undetermined. The NSF Arabidopsis 2010 program has supported the development of community resources to identify the functions of these genes. As part of this effort, a consortium of metabolomics laboratories has been established to generate and evaluate metabolomics data as a tool for generating hypotheses concerning the metabolic and physiological function of genes of unknown function. In combination, this consortium has the ability to evaluate the relative abundance of nearly 2,000 Arabidopsis metabolites. This consortium is combining reverse genetics and metabolomics to evaluate the consequence of loss-of-function mutations on the Arabidopsis metabolome and provide information to formulate initial hypotheses about genes of unknown function that can be further explored by the research community.</p> | |
dc.format.mimetype | application/pdf | |
dc.identifier | archive/lib.dr.iastate.edu/etd/11114/ | |
dc.identifier.articleid | 2126 | |
dc.identifier.contextkey | 2807324 | |
dc.identifier.doi | https://doi.org/10.31274/etd-180810-1711 | |
dc.identifier.s3bucket | isulib-bepress-aws-west | |
dc.identifier.submissionpath | etd/11114 | |
dc.identifier.uri | https://dr.lib.iastate.edu/handle/20.500.12876/25320 | |
dc.language.iso | en | |
dc.source.bitstream | archive/lib.dr.iastate.edu/etd/11114/Moon_iastate_0097M_10096.pdf|||Fri Jan 14 18:43:01 UTC 2022 | |
dc.subject.disciplines | Biochemistry, Biophysics, and Structural Biology | |
dc.subject.keywords | analytical platforms | |
dc.subject.keywords | functional genomics | |
dc.subject.keywords | metabolic fingerprinting | |
dc.subject.keywords | metabolome | |
dc.subject.keywords | metabolomics | |
dc.subject.keywords | silent mutations | |
dc.title | Metabolomics based annotation of novel genes in Arabidopsis thaliana | |
dc.type | thesis | |
dc.type.genre | thesis | |
dspace.entity.type | Publication | |
relation.isOrgUnitOfPublication | faf0a6cb-16ca-421c-8f48-9fbbd7bc3747 | |
thesis.degree.level | thesis | |
thesis.degree.name | Master of Science |
File
Original bundle
1 - 1 of 1
No Thumbnail Available
- Name:
- Moon_iastate_0097M_10096.pdf
- Size:
- 2.33 MB
- Format:
- Adobe Portable Document Format
- Description: