AVIANEGG

Evolutionary genetics in a ‘classical’ avian study system by high throughput transcriptome sequencing and SNP genotyping

 Coordinatore THE UNIVERSITY OF SHEFFIELD 

Spiacenti, non ci sono informazioni su questo coordinatore. Contattare Fabio per maggiori infomrazioni, grazie.

 Nazionalità Coordinatore United Kingdom [UK]
 Totale costo 1˙560˙770 €
 EC contributo 1˙560˙770 €
 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-2007-StG
 Funding Scheme ERC-SG
 Anno di inizio 2008
 Periodo (anno-mese-giorno) 2008-10-01   -   2014-06-30

 Partecipanti

# participant  country  role  EC contrib. [€] 
1    THE UNIVERSITY OF SHEFFIELD

 Organization address address: FIRTH COURT WESTERN BANK
city: SHEFFIELD
postcode: S10 2TN

contact info
Titolo: Dr.
Nome: Jon
Cognome: Slate
Email: send email
Telefono: -2220118
Fax: -2220072

UK (SHEFFIELD) hostInstitution 0.00
2    THE UNIVERSITY OF SHEFFIELD

 Organization address address: FIRTH COURT WESTERN BANK
city: SHEFFIELD
postcode: S10 2TN

contact info
Titolo: Mrs.
Nome: Joanne
Cognome: Watson
Email: send email
Telefono: +44114 2224754
Fax: 441142000000

UK (SHEFFIELD) hostInstitution 0.00

Mappa


 Word cloud

Esplora la "nuvola delle parole (Word Cloud) per avere un'idea di massima del progetto.

microevolutionary    transcriptome    vertebrate    species    unfortunately    traits    genotype    evolutionary    molecular    phenotype    genetic    wild    variation    living    free    populations    birds    sequence    responsible    genomics    population    then    quantitative    tit    model    recent    responses    genes   

 Obiettivo del progetto (Objective)

'Long-term studies of free-living vertebrate populations have proved a rich resource for understanding evolutionary and ecological processes, because individuals’ life histories can be measured by tracking them from birth/hatching through to death. In recent years the ‘animal model’ has been applied to pedigreed long-term study populations with great success, dramatically advancing our understanding of quantitative genetic parameters such as heritabilities, genetic correlations and plasticities of traits that are relevant to microevolutionary responses to environmental change. Unfortunately, quantitative genetic approaches have one major drawback – they cannot identify the actual genes responsible for genetic variation. Therefore, it is impossible to link evolutionary responses to a changing environment to molecular genetic variation, making our picture of the process incomplete. Many of the best long-term studies have been conducted in passerine birds. Unfortunately genomics resources are only available for two model avian species, and are absent for bird species that are studied in the wild. I will fill this gap by exploiting recent advances in genomics technology to sequence the entire transcriptome of the longest running study of wild birds – the great tit population in Wytham Woods, Oxford. Having identified most of the sequence variation in the great tit transcriptome, I will then genotype all birds for whom phenotype records and blood samples are available This will be, by far, the largest phenotype-genotype dataset of any free-living vertebrate population. I will then use gene mapping techniques to identify genes and genomic regions responsible for variation in a number of key traits such as lifetime recruitment, clutch size and breeding/laying date. This will result in a greater understanding, at the molecular level, how microevolutionary change can arise (or be constrained).'

Altri progetti dello stesso programma (FP7-IDEAS-ERC)

STRUBA (2014)

Computational modelling of structural batteries

Read More  

MIRIAM (2012)

Mismatch repair interactome and mutagenesis

Read More  

HIVINNATE (2013)

Innate sensing of HIV and immune responses

Read More