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Grant: Discovery Grants Program - Individual

Concordia University

$52,000.00

Genome dynamics

EF 2009-10

Résumé
The main focus of our research over the past five years was on "genome dynamics", i.e., the patterns of evolutionary change in genome structure and composition. More specifically, we surveyed the patterns of variation in the nucleotide contents of many completely sequenced genomes, and we then correlated these variations in genome composition with variations in synonymous codon usage and the amino acid composition of the corresponding proteomes. We also performed a series of bioinformatics analyses in order to infer the respective evolutionary effects of natural selection, mutational bias and genetic drift. Our goal was to answer, at least in part, the following question: are the variations in nucleotide content, both within and between genomes, mainly due to the effects of natural selection acting at the protein level, or are they instead due primarily to the effects of fluctuating mutational biases at the nucleotide level. Our published results, along with our current investigations indicate that the data can best be explained by a combination of both nucleotide-level mutational biases and proteome-level natural selection. Our proposed research will continue to dissect these evolutionary forces, while adding a new dimension - the effect of variations in genetic recombination rates. This work is important because it provides a framework for evaluating the many recent reports of selection in the human genome, and in other genomes. These reports, which are generally based on comparative sequence data, often ignore many of the factors that can influence genome evolution in the absence of positive Darwinian selection (for a recent review, see Nielsen et al., 2007).
Programme
Discovery Grants Program - Individual
Bénéficiaire
Emplacement
Quebec, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data

Tel que publié

Application id
8516-2008
Name nom
Hickey, Donal
Department département
Biology
Organization id
70
Institution établissement
Concordia University
Province en
Québec
Province fr
Québec
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2009
Competition year année de concours
2008
Award amount
52000
Program id
RGPIN
Program nane en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
Discovery grants programs
Group fr
Programmes de subventions à la découverte
Committee code
33
Committee name en
Molec. & Develop. Genetics
Committee name fr
Gén. moléculaire et dévelop.
Area of application code
1201
Area of application group en
Advancement of knowledge
Area of application group fr
Avancement des connaissances
Area of application en
Life sciences (including biotechnology)
Area of application fr
Sciences de la vie (y compris biotechnologie)
Research subject code
5004
Research subject group en
Genetics
Research subject group fr
Génétique
Research subject en
Genome analysis
Research subject fr
Analyse du génome
Partie
2
Nb partie
5
Application title
Genome dynamics
Keyword
NA
Application summary
The main focus of our research over the past five years was on "genome dynamics", i.e., the patterns of evolutionary change in genome structure and composition. More specifically, we surveyed the patterns of variation in the nucleotide contents of many completely sequenced genomes, and we then correlated these variations in genome composition with variations in synonymous codon usage and the amino acid composition of the corresponding proteomes. We also performed a series of bioinformatics analyses in order to infer the respective evolutionary effects of natural selection, mutational bias and genetic drift. Our goal was to answer, at least in part, the following question: are the variations in nucleotide content, both within and between genomes, mainly due to the effects of natural selection acting at the protein level, or are they instead due primarily to the effects of fluctuating mutational biases at the nucleotide level. Our published results, along with our current investigations indicate that the data can best be explained by a combination of both nucleotide-level mutational biases and proteome-level natural selection. Our proposed research will continue to dissect these evolutionary forces, while adding a new dimension - the effect of variations in genetic recombination rates. This work is important because it provides a framework for evaluating the many recent reports of selection in the human genome, and in other genomes. These reports, which are generally based on comparative sequence data, often ignore many of the factors that can influence genome evolution in the absence of positive Darwinian selection (for a recent review, see Nielsen et al., 2007).