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ROBUSTNESS AND GENETIC VARIATION IN GENE NETWORKS

Award Number: F32GM068382
ORGANIZATION: NATIONAL INSTITUTE OF GENERAL MEDICAL SCIENCES
OPDIV: NIH
AWARD CLASS: DISCRETIONARY
AWARD ACTIVITY TYPE: FELLOWSHIP/SCHOLARSHIP/STUDENT LOANS
PERIOD OF PERFORMANCE START DATE: 04/01/2003
PERIOD OF PERFORMANCE END DATE: 03/31/2005

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ROBUSTNESS AND GENETIC VARIATION IN GENE NETWORKS - DESCRIPTION (provided by applicant): The recent development of tools for studying large numbers of genes and proteins has led to a new interest in determining the structure and function of gene networks and has, for the first time, allowed a direct elucidation of the connections and logical organization of gene networks. Our understanding of the processes which structure genes into networks and determine variability of those networks has been limited by a lack of theoretical work which explicitly takes network structure into account. Gene networks are important because they contain the interactions which produce complex phenotypes, and perturbations of the genes in these networks may cause disorders in their bearers or increased virulence in pathogens. Recent theoretical work has attempted to classify gene and protein networks, associate network topology with evolutionary rates, and associate network topology with the magnitude of phenotypic defects. These studies do not provide causal models of the evolution of network function, nor do they take into account features and constraints of particular gene networks. The first aim of this proposal is to model two key features of gene networks: Robustness to mutational change and accumulation of genetic variance. These related features are important in determining which genes in a network will be most likely to vary and to be associated with deviant phenotypes. The second aim is to apply these models to the specific case of the chemotaxis network of bacteria. This network is well characterized and DNA databases already contain the information to test the predictions made from aim 1. The third aim is to refine models of the chemotaxis network based on the outcome of aim 2, and to develop general methods for using comparative genomic data to refine mechanistic models of gene networks. This work will increase our understanding of the forces that structure gene networks and our ability to predict which genes are most likely to cause disease.


Issue Date FY	Funding FY	Legal Entity Name	Legal Entity Address	Legal Entity City	Legal Entity State	Legal Entity Zip Code	Legal Entity COUNTY	Legal Entity COUNTRY	Assistance Listing	Award Code	Budget Year	Action Date	Action Type	Action Amount

Issue Date FY: 2004 ( Subtotal = $50,548 )
2004	2004	UNIVERSITY OF OREGON	5219 UNIVERSITY OF OREGON	EUGENE	OR	97403	LANE	USA	Biomedical Research and Research Training	000	2	3/18/2004	NON-COMPETING CONTINUATION	$50,548
														Subtotal = $50,548

Issue Date FY: 2003 ( Subtotal = $48,148 )
2003	2003	UNIVERSITY OF OREGON	5215 UNIVERSITY OF OREGON	EUGENE	OR	97403	LANE	USA	Genetics and Developmental Biology Research and Research Training	000	1		NEW	$48,148
														Subtotal = $48,148

Grand Total All Awards = $98,696

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ROBUSTNESS AND GENETIC VARIATION IN GENE NETWORKS

Award Number: F32GM068382

ORGANIZATION: NATIONAL INSTITUTE OF GENERAL MEDICAL SCIENCES

OPDIV: NIH

AWARD CLASS: DISCRETIONARY

AWARD ACTIVITY TYPE: FELLOWSHIP/SCHOLARSHIP/STUDENT LOANS

PERIOD OF PERFORMANCE START DATE: 04/01/2003

PERIOD OF PERFORMANCE END DATE: 03/31/2005

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