When: October 7, 2015, 2:00 PM
Location: 3rd Floor Orchard View Room , Discovery Building
Contact: 608-316-4401, email@example.com
Identifying genetic loci controlling plant growth dynamics with high-throughput machine vision
We use automated image analysis and high throughput computing to measure growth processes in plants. A dividend of the automation is the ability to measure many individuals in genetically characterized populations, including different species. The time series of features extracted from the images are treated as phenotype traits to be mapped to genetic loci controlling the measured process, in this case a root growth response known as gravitropism. One result is a quantitative trait locus (QTL) map with a developmental time axis. Comparing maps between species greatly narrows down the list of candidate genes within the mapped genomic intervals. Image analysis can also be used to understand the cellular-level material growth processes that drive the gravitropic curvature, without consideration of the genetic axis. I will present how we use image analysis and modeling to investigate the wild type response and map the controlling genetic loci.
All SysBioM (Systems Biology in Madison) sponsored talks take place on Tuesdays at 2:30 p.m. in the 3rd floor Orchard View room of the Discovery Building. Talks are open to the public. Access to the room is via the elevator behind Aldo’s Cafe in the Northeast corner of the building.