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
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
Moon_iastate_0097M_10096.pdf
Size:
2.33 MB
Format:
Adobe Portable Document Format
Description: