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EvolSpliceKinetics SIGNED

From co-transcriptional splicing kinetics to the evolutionary impact of exon and intron definition

Total Cost €

0

EC-Contrib. €

0

Partnership

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Project "EvolSpliceKinetics" data sheet

The following table provides information about the project.

Coordinator
INSTITUTO DE MEDICINA MOLECULAR JOAO LOBO ANTUNES 

Organization address
address: AVENIDA PROF EGAS MONIZ
city: LISBOA
postcode: 1649 028
website: www.imm.ul.pt

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Portugal [PT]
 Total cost 147˙815 €
 EC max contribution 147˙815 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2018
 Funding Scheme MSCA-IF-EF-ST
 Starting year 2020
 Duration (year-month-day) from 2020-08-01   to  2022-07-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    INSTITUTO DE MEDICINA MOLECULAR JOAO LOBO ANTUNES PT (LISBOA) coordinator 147˙815.00

Map

 Project objective

The need to preserve correct splicing is a major source of constraint on sequence evolution. This includes selection on the splice sites as well as on regulatory elements in exons and introns. Are all exons and introns constrained similarly by splicing related pressures? This is a crucial problem not only for understanding genome evolution but also for predicting where disease-causing mutations occur.

Any variation in the prevalence of splicing information most likely reflects mechanistic variation in how the splicing process unfolds at different introns. Notably, it is often assumed that the relative importance of intronic and exonic splicing information depends on whether the splicing machinery recognizes introns or exons as the initial unit. However, this common model has never been tested directly because it is currently not possible to investigate splicing mechanism at this level of detail genome-wide. Existing studies on the distribution of splicing information are therefore based on proxies of unclear mechanistic significance, such as intron size.

My host lab has developed a nascent RNA sequencing technique that allows unprecedented insight into splicing dynamics transcriptome-wide. They have recently applied this method to Drosophila melanogaster, a species thought to use a diversity of splicing strategies. I propose to use this data, combined with a machine learning approach, to conduct the first genome-wide study into exon and intron definition based on direct kinetic evidence. I will then use population genetics methods to determine how the prevalence and strength of selection on different types of splicing information covaries with splicing dynamics.

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "EVOLSPLICEKINETICS" project.

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The information about "EVOLSPLICEKINETICS" are provided by the European Opendata Portal: CORDIS opendata.

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