UMICIS

Uncultivated Microbes In Situ - a Computational Biology Approach to Determine Molecular Capabilities and Ecological Roles

Coordinatore	UNIVERSITAET ZUERICH    more Spiacenti, non ci sono informazioni su questo coordinatore. Contattare Fabio per maggiori infomrazioni, grazie.
Nazionalità Coordinatore	Switzerland [CH]
Totale costo	1˙129˙800 €
EC contributo	1˙129˙800 €
Programma	FP7-IDEAS-ERC Specific programme: "Ideas" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013)
Code Call	ERC-2009-StG
Funding Scheme	ERC-SG
Anno di inizio	2010
Periodo (anno-mese-giorno)	2010-02-01   -   2016-01-31

 Partecipanti

#	participant	country	role	EC contrib. [€]
1	UNIVERSITAET ZUERICH  Organization address address: Raemistrasse 71 city: ZURICH postcode: 8006 contact info Titolo: Prof. Nome: Christian Cognome: Von Mering Email: send email Telefono: +41 44 634 5350 Fax: +41 44 634 5351	CH (ZURICH)	hostInstitution	1˙129˙800.00

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 Obiettivo del progetto (Objective)

'Most of nature s biodiversity, and many potentially useful metabolic capabilities, remain hidden among the vast numbers of uncharacterized environmental microbes. Because cultivation is still not possible for most of these microbes, cultivation-independent molecular techniques such as polymerase chain reaction (PCR), fluorescent in situ hybridization (FISH), or shotgun DNA sequencing have been used in order to study their function and ecology in their natural habitats. However, none of the above techniques have so far been sufficient for any systematic assignment of molecular functions to distinct microbial lineages. Thus, most of the molecular ecology of natural microbes remains elusive. Here, we propose a computational meta-analysis and synthesis of existing and newly generated molecular sequence data sampled directly from the environment combining DNA sequencing data (metagenomics), and proteome expression data (metaproteomics). This analysis will be coupled to computational modelling of genome content evolution at the community level. We will aim to assess how gene repertoires of microbial communities, and their taxonomic compositions, change across distinct environments, in response to changed conditions, and through time. We plan to address fundamental questions in microbial ecology, including the extent of cooperation among members of the communities, stability of community composition at evolutionary timescales, the importance of lateral gene transfers, the extent of functional adaptation/regulation in situ, and whether gene occurrence and expression patterns are diagnostic of community functions and ecological status.'