Objective
The strategic directions of multidisciplinary research at the Institute of Oceanology of the Polish Academy of Sciences include genetics and molecular biology of marine organisms, fields of research where progress increasingly depends on expertise in computational biology. This project will allow making the first step in introducing this much-needed expertise in the Institute and indeed in the region, which we hope will benefit several projects at the Institute (molecular systematics of marine invertebrate s, population genetics of fish and molluscs, marine microbiology). However, considering the short timeline, the utility of tools developed during the project will first be tested on a dataset of Hepatitis C Virus sequences obtained from an epidemic with kn own infection history. These data allow constructing a true phylogenetic tree with extensive temporal information, as the times for both the external nodes and crucial internal nodes are known. HCV displays one the highest rates of evolution detected in an y life form (reaching 10-2 substitutions/site/year. Moreover, extreme heterogeneity of substitution rate is observed in some of the regions of HCV genome. The project will concentrate on resolving the following issues:
(1) the level of heterogeneity of the rate of substitution among sites,
(2) the use of complex models (for example, models which allow multiple substitution matrices) for possibly better description of the data,
(3) the effects of the presence of positive selection on the molecular clock,
(4) the nature of amino acid substitutions that occur, especially in the context of the quasispecies hypothesis and the possibility of multiple infections. By analysing sequences coming from a major human pathogen, we hope to provide insight into the molecular biology of HCV and other RNA viruses, relevant not only for molecular evolution, but also for molecular medicine, molecular epidemiology and forensics.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- natural sciencesbiological sciencesmicrobiologyvirology
- natural sciencesmathematicsapplied mathematicsstatistics and probabilitybayesian statistics
- medical and health scienceshealth sciencesinfectious diseasesRNA viruseshepatitis C
- natural scienceschemical sciencesorganic chemistryamines
- natural sciencesbiological sciencesmolecular biologymolecular evolution
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Call for proposal
FP6-2002-MOBILITY-11
See other projects for this call
Funding Scheme
ERG - Marie Curie actions-European Re-integration GrantsCoordinator
SOPOT
Poland