Poster: Genomic & proteomic resources
Abs #
896: High Throughput Functional Genomic Analysis of Arabidopsis Ecotypes under Abiotic Stress Conditions
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Presenter: |
Zayed, Adel M, azayed@paragen.com |
Authors | Zayed, Adel M (A) Mulpuri, Rao V (A) Boyes, Douglas C (A) Woessner, Jeffrey (A) Davis, Keith K (A) | | Affiliations: |
(A): Paradigm Genetics, Inc.
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| Web Site: | http://www.paragen.com | |
Plant stress, which is caused by sub-optimal environmental conditions, is responsible for unpredictable and greatly decreased agricultural productivity. Discovering genes that confer stress tolerance should be of great value. In addition, plants expressing genes conferring other desirable traits may perform differently under stress as compared to standard conditions. With the recent completion of the Arabidopsis genome sequencing project, the challenge for plant biologists is to determine in a high throughput fashion the function of all the genes required for normal plant growth and development. Equally important and challenging is to identify genes associated with plant adaptation to environmental stress. To meet this challenge, we have developed a robust high throughput phenotypic analysis platform in which data from over 100 traits representative of all stages of Arabidopsis growth and development under standard and abiotic stress conditions are collected using an industrialized process. The high throughput design of the platform allows for the rapid accruement of vast amounts of information in fairly short time. Plants are grown to full maturity in custom walk-in growth rooms or for only few weeks on artificial media in Petri plates positioned vertically in growth chambers. Here we present data characterizing the growth and development of a variety of Arabidopsis ecotypes under standard and abiotic stress conditions using our high throughput platform. These data establish the capability of our phenotypic analysis platform to reveal the significant differences between genetically distinct lines under both standard and non-standard environmental conditions.