Maloof Lab:Daniele Filiault: Difference between revisions
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:At this time I am doing preliminary work for an eQTL project, which will use gene expression levels as phenotypes in QTL analysis. Several RIL (recombinant inbred line) sets appear to be good candidates for this type of analysis and are in the process of being phenotyped. Once a final RIL set is chosen, microarray analysis will begin. This should happen soon! | :At this time I am doing preliminary work for an eQTL project, which will use gene expression levels as phenotypes in QTL analysis. Several RIL (recombinant inbred line) sets appear to be good candidates for this type of analysis and are in the process of being phenotyped. Once a final RIL set is chosen, microarray analysis will begin. This should happen soon! | ||
*;Genetic regulatory networks | *;Genetic regulatory networks | ||
:Expression QTL data sets are especially useful tools for understanding | :Expression QTL data sets are especially useful tools for understanding genetic regulatory networks. Since little is known about the network underlying shade avoidance responses, this type of network analysis could be especially useful in uncovering the molecular mechanisms by which plants modulate their development in response to shade. | ||
==Outside the lab== | ==Outside the lab== | ||
Revision as of 00:25, 27 August 2007
Daniele Filiault
I'm a third year graduate student in the Plant Biology Graduate Group at the University of California Davis. I have a BS in General Agriculture from Cornell University and an MS in Horticulture from the University of Wisconsin-Madison where I studied cold acclimation and freezing tolerance in turfgrass species.
Research
My work uses genetic approaches to understand natural variation in shade avoidance responses in Arabidopsis thaliana.
- Association mapping
- We have done an association mapping study for seedling and juvenile shade avoidance traits using 96 Arabidopsis thaliana ecotypes. From this study, we have identified over 100 intervals in the genome that are statistically associated with our measured phenotypes. We have also used a candidate gene approach to identify associations between these phenotypes and SNPs in genes previously shown to be involved in shade avoidance. Currently I am working on functional validation of some of these statistical associations.
- Expression QTL
- At this time I am doing preliminary work for an eQTL project, which will use gene expression levels as phenotypes in QTL analysis. Several RIL (recombinant inbred line) sets appear to be good candidates for this type of analysis and are in the process of being phenotyped. Once a final RIL set is chosen, microarray analysis will begin. This should happen soon!
- Genetic regulatory networks
- Expression QTL data sets are especially useful tools for understanding genetic regulatory networks. Since little is known about the network underlying shade avoidance responses, this type of network analysis could be especially useful in uncovering the molecular mechanisms by which plants modulate their development in response to shade.
Outside the lab
Depending on the weather, I'm doing one of the following:
- Creating or working at the Craft Center.
- Cross-country skiing or hiking in the Sierra.
- Attending a "mopey indie show" in Davis, Sacramento, or the Bay Area.
Contact Info
- dlfiliault (at) ucdavis (dot) edu
- Lab location: 2119 Life Sciences
- Lab phone: (530) 752-8086
- Mailing address:
- Section of Plant Biology
- One Shields Avenue
- University of California Davis
- Davis, CA 95616
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