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Evolution Education Trust PhD project: In silico modelling of the evolutionary capabilities and constraints of pigment pattern formation in the diverse teleost genus, Danio

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  • Full or part time
    Prof Robert Kelsh
  • Application Deadline
    No more applications being accepted
  • Competition Funded PhD Project (European/UK Students Only)
    Competition Funded PhD Project (European/UK Students Only)

Project Description

The University of Bath is inviting applications for this PhD opportunity based at the Milner Centre for Evolution, a unique, cross-faculty research centre bridging biology, health and education. The Centre is dedicated to a broad range of fundamental research questions relating to evolutionary biology; from in deep time, to the micro-evolutionary dynamics of a disease outbreak. We have a strong focus on public engagement and outreach. We are located in a dedicated multi-million-pound building that opened on the University campus in September 2018. For further information about the centre see https://www.bath.ac.uk/research-centres/milner-centre-for-evolution/.

Project Overview:

Evolution is popularly believed to be a gradual process typified by slow morphological change. In fact, the rate of change is highly variable, and can sometimes be very fast indeed. How are such rapid changes in morphology achieved? Pigment patterns are biologically vital for both camouflage and sexual signalling, yet can differ markedly between sister species (those species pairs with the most recent divergences). We have developed a biologically realistic in silico representation of pigment stripe formation in the vertebrate developmental model zebrafish, Danio rerio. Our computer model successfully simulates the patterns seen in wild-type fish (stripes), but also patterns in fishes with a number of mutations (thinner/thicker stripes and a diversity of spot patterns). Other species of Danio show a rich variety of other pigment patterns, and we believe that these have all evolved by modifying an otherwise conserved pattern formation process. Comprehensive exploration of our in silico model to simulate such changes will allow comparison of the model’s outputs to the patterns seen in real fish. Thus, we will identify the likely cellular bases for pattern diversification.

Candidate:

Applicants should hold, or expect to receive, a First Class or high Upper Second Class UK Honours degree (or the equivalent qualification gained outside the UK) in a relevant subject. A master’s level qualification would also be advantageous. They should be excited by the prospect of utilising an interdisciplinary approach to explore a fundamental question in evolutionary biology.

Applications:

Informal enquiries should be directed to Robert Kelsh, [Email Address Removed]

Formal applications should be made via the University of Bath’s online application form:
https://samis.bath.ac.uk/urd/sits.urd/run/siw_ipp_lgn.login?process=siw_ipp_app&code1=RDUBB-FP02&code2=0013

On the application form, please ensure that you quote ‘Evolution Education Trust’ in the Finance section and the supervisor’s name and project title in the ‘Your research interests’ section. Should you wish to be considered for more than project, quote the projects in order of preference and upload a separate personal statement relevant to each one.

More information about applying for a PhD at Bath may be found here:
http://www.bath.ac.uk/guides/how-to-apply-for-doctoral-study/

Interviews will take place in Bath on 14 June 2019.

Anticipated start date: 30 September 2019.

Funding Notes

This project is one of a number that are in competition for funding from the Evolution Education Trust https://www.bath.ac.uk/guides/evolution-education-trust-phd-studentships/.

A studentship will provide UK/EU tuition fees, a stipend in line with the UKRI rate (£15,009 p.a. for 2019/20) and a generous budget for research and training as well as funds to support outreach activities for a period of up to 3.5 years.

Note: ONLY UK and EU applicants are eligible for studentship funding. International applicants will not be considered unless they can fully self-fund (fees and living costs).

References

Owen, J., Kelsh, R.N. and Yates, C.A. A quantitative modelling approach to in vivo zebrafish pigmentation patterning. In prep.

Quigley, I.K., et al., (2004) Pigment pattern evolution by differential deployment of neural crest and post-embryonic melanophore lineages in Danio fishes. Development 131, 6053-6069

Mort, R.; Ross, R.; Hainey, K.; Harrison, O.; Keighren, M.; Landini, G.; Baker, R.; Painter, K.; Jackson, I. & Yates, C. (2016). Reconciling diverse mammalian pigmentation patterns with a fundamental mathematical model. Nat. Commun., 7, 10288

How good is research at University of Bath in Biological Sciences?

FTE Category A staff submitted: 24.50

Research output data provided by the Research Excellence Framework (REF)

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