PgmNr W4136: Metabolomics of developmental stages of Caenorhabditis elegans using mixed populations.

Authors:
Francesca V. Ponce 1 ; Fariba Tayyari 1 ; Goncalo Gouveia 1 ; Andrew Martin 1 ; Cord Helmken 1 ; Chaevien Clendinen 2 ; Facundo M. Fernández 2 ; Osman Sheikh 1 ; Lance Wells 1 ; Arthur S. Edison 1


Institutes
1) Complex Carbohydrate Research Center, University of Georgia, Athens; 2) School of Chemistry and Biochemistry & Petit Institute for Bioengineering & Bioscience, Georgia Institute of Technology.


Keyword: Other ( metabolomics )

Abstract:

Metabolomics analyses attempt to study the complete set of metabolites produced by an organism during its life cycle under all possible conditions. The nematode C. elegans is an ideal organism for comparative metabolomics studies. However, detailed analysis of the metabolic traits associated with different life stages of the worm is lacking in part due to low throughput methods to generate and study synchronous worm populations and also due to low sensitivity of some analytical techniques (e.g. NMR), which rely on large amounts of sample for adequate detection. We are developing approaches to combine the use of the large particle flow cytometer COPAS Biosorter, NMR and mass spectrometry to attempt to identify some metabolic traits associated with the different developmental stages of C. elegans by sampling and comparing several mixed-stage cultures. The Biosorter can measure the extinction (EXT) and time-of-flight (TOF) of individual nematodes in a population and total population size, which can then be used as descriptors of developmental stages within a mixed population of animals. Samples of synchronous worm populations of 200 thousand individuals were collected at five different time points during a 96-hour period to capture the different developmental stages (L1, L3, L4, Adult, Adult and their progeny) for NMR and MS analyses. A subset of each population was analyzed with the COPAS Biosorter. The frequency distributions of EXT and TOF of each subset were used as a proxy for the developmental stages present in the mixed stage population collected at the last time point. We were able to distinguish distinct features present in different collection time points laying out a platform for the identification of metabolic traits associated with different developmental stages present in a mixed stage culture. This approach allows for standardization and introduction of phenotypical and developmental variables to metabolomics studies. This will aid in the effective characterization of metabolic traits involved in each developmental stage of the C. elegans life cycle.