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AVIANEGG

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Evolutionary genetics in a classical avian study system by high throughput tra...

Evolutionary genetics in a classical avian study system by high throughput transcriptome sequencing and SNP genotyping 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... ver más

30/06/2014

USFD

2M€

Presupuesto del proyecto: 2M€

Líder del proyecto

THE UNIVERSITY OF SHEFFIELD No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Fecha límite participación Sin fecha límite de participación.

Financiación concedida El organismo FP7 notifico la concesión del proyecto el día 2014-06-30 No tenemos la información de la convocatoria

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1 Participantes

USFD

0.00€ | Lider

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Líder del proyecto

THE UNIVERSITY OF SHEFFIELD No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 2M€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto 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).

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