Browse by
Summary Table
Presenting Author
All Authors
Author's Institutions
Abstract Title
Abstract Keywords
Programs At-A-Glance
Detailed Programs
Custom Schedule
Botany 2005 Home

Abstract Detail

Physiological Section

Tarpley, Lee [1], Duran, Anthony L. [2], Kebrom, Tesfamichael H. [3], Sumner, Lloyd W. [4].

Biomarker metabolite set that captures the metabolite variance of the early tillering stage of rice.

Metabolomic data from a rice (Oryza sativa L.) tillering (branching) developmental profile was analysed with the goal of defining a set of biomarker metabolites that reliably captures the metabolite variance of this developmental period, and with potential as a basis for comparative screening of metabolite profiles in relation to change in development, environment or genotype. Changes in metabolism and metabolite profile occur as a part of, and in response to, developmental events, and are further influenced by external factors impinging on the developmental program. A biomarker metabolite set representing a common vegetative developmental period, such as tillering, could benefit screening of quantitative plant developmental variation by providingadvantages of both comprehensive metabolomic studies and focused diagnostic-type studies of particular metabolites or pathways. A set of biomarker metabolites to represent the period bridging the initiation and early growth of rice tillering was constructed by: (1) determining principal components of the comprehensive metabolomic profile, then (2) identifying clusters of metabolites representing variation in loading on the first three principal components, and finally (3) selecting individual metabolites from these clusters that were known to be common among diverse organisms, and also have potential to be assayed through high-throughput screening procedures. The resultant set of 21 biomarker metabolites was reliable (P = 0.001) in capturing 83% of the metabolite variation in development. Furthermore, the biomarker metabolites were successful (P = 0.05) in correctly predicting metabolite change in response to environment as determined in another rice metabolomics study. The ability to define a set of biomarker metabolites that reliably captures the metabolite variance of a plant developmental event was established. Studies of the quantitative relationships among the biomarker metabolites can provide comparative information concerning metabolite profiles in relation to change in plant development, environment, or genotype. Partially supported by the Texas Rice Research Foundation

Log in to add this item to your schedule

1 - Texas Agricultural Experiment Station, TAMU Dept. Soil and Crop Sciences, 1509 Aggie Dr., Beaumont, Texas, 77713
2 - Analytical Research Laboratories, Oklahoma City, Oklahoma, , USA
3 - Texas A&M University, Department of Soil and Crop Sciences, Mail Stop 2474, College Station, Texas, 77843-2474, USA
4 - Samuel Roberts Noble Foundation, Ardmore, Oklahoma, , USA


Presentation Type: Oral Paper
Session: 7-6
Location: 408/Hilton
Date: Monday, August 15th, 2005
Time: 10:45 AM
Abstract ID:214

Copyright 2000-2005, Botanical Society of America. All rights