Opendata, web and dolomites

EvolPhysiol SIGNED

Evolution of Physiology: The link between Earth and Life

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

Project "EvolPhysiol" data sheet

The following table provides information about the project.

Coordinator
UNIVERSITAT WIEN 

Organization address
address: UNIVERSITATSRING 1
city: WIEN
postcode: 1010
website: www.univie.ac.at

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 Austria [AT]
 Total cost 1˙499˙998 €
 EC max contribution 1˙499˙998 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2018-STG
 Funding Scheme ERC-STG
 Starting year 2019
 Duration (year-month-day) from 2019-02-01   to  2024-01-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSITAT WIEN AT (WIEN) coordinator 1˙499˙998.00

Map

 Project objective

The history of life is a subject that attracts the interest from both researchers and the society in general - it is in the human nature to wonder about our own history. Our only sources of information about microbial evolution reside in genomic data and geological records. Major advances in sequencing techniques are overwhelming databases with rich and novel insights into microbial taxonomic diversity, in particular about new uncultured lineages. Through metagenomics we now know that they are there but we still do not understand what they are doing.The key to that understanding is not genomics, it is physiology.Our main impediment to understand environmental microbial life is our lack of insights into the physiology of newly discovered lineages, how they harness and conserve energy.While phylogenetic trees based on universal genes can be generated for thousands of lineages at a time, they do not represent the genome as a whole and, most importantly, due to lateral gene transfer, branching patterns in the tree of life have never correlated well with key physiological traits.The goal of this proposal, whose focus is physiology, is to better understand how microbes harness energy from available environmental sources, how they learned to use new ones, and how this process unfolded during microbial evolution.This will involve i) large-scale comparative phylogenetic analysis of genes involved in and genomically associated with physiology combined with ii) experimental data, using as evolutionary constraints geochemical records of available environmental energy sources.With a top-down approach this work will successively eliminate among extant biological traits ones that cannot be ancient, constraining the physiological space of older microbial solutions.This proposal will lead to testable predictions regarding the order of events in evolutionary bioenergetic transitions, the focus on biological energy harnessing will narrow the gap between geochemistry and microbiology.

 Deliverables

List of deliverables.
Data Management Plan Open Research Data Pilot 2019-09-09 17:53:31

Take a look to the deliverables list in detail:  detailed list of EvolPhysiol deliverables.

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

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an  email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

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

More projects from the same programme (H2020-EU.1.1.)

PROTECHT (2020)

Providing RObust high TECHnology Tags based on linear carbon nanostructures

Read More  

SkewPref (2019)

Skewness Preferences – Human attitudes toward rare, high-impact risks

Read More  

INFANT MEMORIES (2020)

Dissecting hippocampal circuits for the encoding of early-life memories

Read More