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  *NERC E3* The Genetic Basis of Kin Interactions in Blue Tits.


   School of Biological Sciences

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  Dr J Hadfield, Dr P Smiseth  No more applications being accepted  Competition Funded PhD Project (European/UK Students Only)

About the Project

Interested individuals must follow Steps 1, 2 and 3 at this link on how to apply
http://www.ed.ac.uk/biology/prospective-students/postgraduate/pgr/how-to-apply

Project background: An individual’s development early in life is often affected by the behaviour of parents and siblings. When these behaviours are heritable, then early life traits depend not only on an individual’s own genes, but also those genes expressed in that individual’s parents and siblings. These types of ‘indirect’ genetic effect are probably very common and can fundamentally change the outcome of evolution. However, they have rarely been studied. Using long-term data on a population of Blue tits (Cyanistes caeruleus), together with new manipulative experiments, the project aims to understand the genetic basis of parent-offspring interaction and sibling co-operation and competition.

Key Research Questions:

1) Blue tit parents differ in how fast their offspring grow. Are the differences between parents due to the effects of genes or the effects of the environment?

2.) Our ongoing work shows that genes that make an individual grow fast are also responsible for promoting the growth of siblings. Is this because genes exist for manipulating parents to provide more resources?

3.) Many nests have a subset of very small individuals (runts). Is natural selection mainly removing runts, and is runting primarily due to genetic or environmental factors?

Methodology:

Field work: Field work will be carried out from April-June each year in a monitored population of blue tits close to the city of Edinburgh. Hours can be long during May and the work requires a reasonable level of physical fitness. Some experience handling small birds would be advantageous but not necessary.

Lab work: Microsatellite genotyping of parents and their offspring will be necessary in order to determine maternities and paternities. The laboratory work is reasonably straightforward and training will be provided.

Computer work: The empirical data will be analysed and interpreted in a statistical framework developed by the supervisor. The student will be trained by the supervisor in this respect and can expect to achieve a high-level of proficiency in statistical, mathematical and computational methods.

Training: A comprehensive training programme will be provided comprising both specialist scientific training and generic transferable and professional skills. The first year will include an intensive one-semester course on theoretical population genetics, quantitative genetics and statistics that will provide a basis for the theoretical and statistical work.

Requirements: A first class undergraduate degree or MSc in ecology or evolution is desirable, and you will need to have an aptitude for statistics.


Funding Notes

Closing date is 216 January 2017. This project is eligible for the E3 Doctoral Training Partnership. The E3 projects are currently available for full NERC studentship funding which is competitive by interview AND AVAILABLE ONLY TO UK citizens and to EU citizens who have worked or studied in the UK for the previous 3 years. For application details see http://e3dtp.geos.ed.ac.uk/apply.html. Further details here - http://e3dtp.geos.ed.ac.uk/projects.html
Other funding routes are possible for overseas applicants.
All potential applicants are requested to contact [Email Address Removed] prior to applying.


References

• J. Wilson. (2014) Competition as a source of constraint on life history evolution in natural populations. Heredity 112 (1), 70-78
• J.D. Hadfield et al (2013) Disentangling genetic and prenatal sources of familial resemblance across ontogeny in a wild passerine. Evolution 67 (9), 2701-2713
• J.D. Hadfield (2012) The quantitative genetic theory of parental effects in The evolution of parental care (OUP) p 267-284
• C.A. Hinde et al. (2010) Parent-offspring conflict and coadaptation. Science 327, 1373-1376.


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