Coordinatore | THE CHANCELLOR, MASTERS AND SCHOLARS OF THE UNIVERSITY OF OXFORD
Organization address
address: University Offices, Wellington Square contact info |
Nazionalità Coordinatore | United Kingdom [UK] |
Totale costo | 209˙033 € |
EC contributo | 209˙033 € |
Programma | FP7-PEOPLE
Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013) |
Code Call | FP7-PEOPLE-2011-IEF |
Funding Scheme | MC-IEF |
Anno di inizio | 2012 |
Periodo (anno-mese-giorno) | 2012-04-01 - 2014-03-31 |
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THE CHANCELLOR, MASTERS AND SCHOLARS OF THE UNIVERSITY OF OXFORD
Organization address
address: University Offices, Wellington Square contact info |
UK (OXFORD) | coordinator | 209˙033.40 |
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'Endogenous retroviruses (ERVs) are DNA fragments found dispersed in a wide range of genomes, from invertebrates to mammals, that resemble members of the Retroviridae viral family (termed here exogenous retroviruses or XRVs). Because XRV replication involves integration into the host chromosome, it is generally assumed that ERVs are the result of ancient XRV infections, which have passed into the germ-line of the host and expanded within it. ERVs are classified into three classes, while XRVs are classified into subfamilies and genera. Class-I ERVs and Gammaretroviruses are phylogenetically close. Therefore, Class-I ERVs are suggested to be the million-years archive of the Gammaretrovirus infections. I propose to study the viral and host factors that have affected the cross-species transmission history of Gammaretroviruses by studying the relationships between Gammaretroviruses and Class-I ERVs. I will use a bioinformatics’ approach to mine all the available mammalian genomes and extract all the Class-I ERVs. Then, I will build a phylogenetic tree containing all the available Gammaretroviruses and Class-I ERVs to clarify their relationships. I will use the tree to discriminate between shared invasions and cross-species transmission (CST) events. I will implement statistical and phylogenetic methods to clarify if recombination or integrity of the env gene has enhanced or suppressed CST, respectively. I will also look at the protein receptors known to be used by some Gammaretroviruses and correlate their presence and phylogeny in the hosts with the CST events. Moreover, I will look the development of innate antiretroviral resistance mechanisms in the phylogeny of hosts and correlate this with the presence of Class-I ERVs or Gammaretroviruses. Finally, I will study the adaptation that has occurred following the CST events. The project will provide insights into how retroviruses move between hosts, a phenomenon with important Public Health implications.'
Endogenous retroviruses (ERVs) are viral elements that are present in the human genome as a result of evolution. An EU-funded study has studied the history of gammaretroviruses transmission between hosts across different species.
The project 'C THE LIGER' has studied how gammaretroviruses transmitted across different species using genomics, bioinformatics and viral molecular evolution. Training activities to improve research skills included the areas of molecular evolution of ERVs, data-mining, bioinformatics, genome analyses, software programming and advanced statistics.
To begin with, project members built two reference libraries using sequences from GenBank. One was a partial pol sequence library from all available ERV families and XRV (exogenous RV) species. The other, a full-length genome library of all available gammaretroviruses and class-I families, was used to construct alignments. Pol sequences are the most conserved part of the genomes and were therefore selected for data-mining.
All possible ERVs were located from the available mammalian genomes and used to optimise the data-mining algorithms. C THE LIGER devised algorithms to measure the genetic integrity, replicating techniques, shared deletions and functionality of the envelope gene in Class-I ERV elements. Noteworthy is the algorithm to measure cross-species transmission based on an approach called maximum parsimony.
Project outcomes resulted in four publications. The data and algorithms produced during the project will prove useful in future research endeavours on this topic. Describing the ability of viruses to cross the species barrier could eventually help understand zoonotic viral transmissions and design preventative measures.