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PhD Studentship: Revealing the Genomic Basis of Reproductive Mode Evolution and Speciation in Littorina Snails

University of Sussex - Biology

Qualification Type: PhD
Location: Sussex, Falmer
Funding for: UK Students
Funding amount: Home (UK) tuition fees and stipend at standard UKRI rates
Hours: Full Time
Placed On: 18th April 2024
Closes: 31st July 2024
 

Funding for: UK Students

A fully-funded PhD studentship (3.5 years) is available from September 2024 under the supervision of Dr. Sean Stankowski department of Ecology, Evolution and Behaviour, School of Life Sciences. 

Deadline: 31st July 2024 

We are seeking an enthusiastic and motivated PhD student to study the links between reproductive mode evolution and speciation in intertidal snails from the genus Littorina

The process of speciation involves the build-up of isolating barriers that restrict gene exchange between populations. Although barriers to gene flow are critical to divergence and species coexistence, we rarely understand the traits and loci that underpin strong isolation. 

The aim of this project is to understand how differences in female reproductive mode contribute to strong isolation between closely-related species of intertidal snail. In the UK and Europe, a live-bearing species of periwinkle (Littorina saxatilis) coexists with egg-laying species (Littorina compressa and Littorina arcana). A lack of hybrids between sympatric egg-layers and live-bearers indicates that the barrier to gene flow between them is very strong. 

Recent work has revealed many candidate regions of genome that underpin the difference in reproductive mode. In this project, you will use a new reference genomes, new and existing genomic data, and cutting-edge methods to determine if mode-associated loci also act as barriers to gene flow. Specific objectives include: (1) to more precisely determine the number and genomic distribution of loci associated with the difference in reproductive mode; (2) to determine if reproductive mode acts a barrier by (a) identifying barrier loci and (b) testing for overlap with reproductive mode-associated loci; and (3) to reconstruct the demographic history of divergence to reveal help us understand when and how barriers to gene flow evolved. The succesfull candidate will be encouraged to take the project in directions that excite them most. 

You will work in the Speciation Research Group (https://www.speciationgroup.org/) led by Dr Sean Stankowski in the Ecology and Evolution department at the University of Sussex, Brighton. There will be ample opportunity to collaborate and share findings with other scientists from the Littorina research community (https://littorina.sites.sheffield.ac.uk/home). 

Informal enquiries about the project are especially welcome and can be made to Sean Stankowski at s.stankowski@sussex.ac.uk 

How to apply: 

Please note that interviews will be held as applications are received. This advert will close as soon as a candidate is successfully appointed.

Please submit a formal application using the online admissions portal attaching a CV, degree transcripts and certificates, personal statement, and two academic referees. A research proposal is not required. 

On the application system select Programme of Study – PhD Biology. Please state the project title under funding obtained and the supervisor’s name where required.

Ideal candidates will have some bioinformatics skills (coding in bash, Python and or R), experience working with genomic datasets, will have used a HPC, and be excited about the subject area. Candidates should have or expect to obtain a minimum 2:1 undergraduate degree. An MSc degree will be advantageous. Your qualification should be in Biology or a related subject area. You may also be considered for the position if you have other professional qualifications or experience of equivalent standing.

Candidates for whom English is not their first language will require an IELTS score of 6.5 overall, with not less than 6.0 in any section - English language requirements

For enquiries about the application process, please email Emma Chorley: lifesci-rec@sussex.ac.uk

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