- Your research will be high impact science geared towards the conservation of the 20% of animal species that are haplodiploid – including essential pollinators and seed dispersers
- You will receive interdisciplinary training and gain experience in a wide variety of sought after techniques and approaches (e.g. mathematical modelling, GIS and genomics)
- You will engage in field work in Spain and present your work in national and international conferences.
Around 20% of all animals – including all the bees, wasps and ants that are important pollinators and seed dispersers – are haplodiploid (Heimpel and de Boer, 2008). That is, females are diploid and males are haploid. However, the mechanism underlying haplodiploidy, known as complementary sex determination (csd), means that low genetic variation and/or inbreeding can detrimentally reduce reproduction (Zayed and Packer, 2005). This is because diploid offspring erroneously develop as males rather than females (Harpur et al., 2013). Such reduced reproduction lowers population size further, exacerbating the effects in a feedback loop: the extinction vortex (Figure 1A). Given human induced habitat degradation and climate change, insect populations – including many of those with haplo-diploid sex determination – are declining and fragmenting (Sanchez-Bayo and Wyckhuys, 2019). Understanding the extinction vortex is therefore a priority.
Figure 1: A: Extinction vortex caused by diploid male production (Zayed and Packer, 2005); B: relief map of the Iberian Pennisula, darker shading shows higher altitudes; C: Leptothorax acervorum colony showing a queen (darker individual adults workers, developing larvae.
The objectives of the PhD project are as follows (the emphasis on each element can be tailored to your interests & how the project develops).
- Model the effects of inbreeding and diploid male production in haplodiploids. Although there is some theoretical work on the impact of inbreeding and diploid male production on population persistence, you will extend this theory to investigate how life history variation influences outcome.
- Estimate inbreeding & diploid male production in a model ant species. You will estimate diploid male production in the well-studied ant, Leptothorax acervorum (Figure 1C), and test if this correlates with effective population size (current and historical) estimated from genetic data. In the southern part of their range (Spain) this species is attitudinally limited being restricted to >1500m (Figure 1B). Populations are often small, have limited gene flow and so population isolation and inbreeding is a real issue.
- Model habitat patch size, occupancy and fragmentation. You will use spatial data to discover suitable habitats for acervorum in Spain. This will allow us to estimate patch size and connectivity and to interpret data gained from objective 2. It will also find new populations to sample for part 2.
HostUniversity of Leicester
- Climate and Environmental Sustainability
- Organisms and Ecosystems
Dr Robert Hammond, University of Leicester ([email protected])
- Dr Nick Tate, University of Leicester ([email protected])
- Dr Fabian Freund, University of Leicester ([email protected])
How to apply
- Each host has a slightly different application process.
Find out how to apply for this studentship.
- All applications must include the CENTA application form. Choose your application route
- Modelling: You will develop mathematical models of diploid male production that consider: solitary vs social living, for social species the type of colony founding, mating frequency of females, colony size and female productivity, diploid male fertility and triploid female fertility.
- Inbreeding / diploid male production: You will collect samples of the ant, acervorum, from known locations, and locations identified by GIS modelling (see 3), in Spain. You will estimate population genetic variation using reduced representation sequencing and the proportion of diploid males will be identified genetically. This will involve molecular genetic lab work and bioinformatic analysis.
- Habitat patch size: You will develop GIS models to identify suitable habitat/altitude/aspect patches. This will be done using data derived from known populations / published records and using state of the art GIS software and modelling (e.g. ArcGIS Pro, R).
Training and skills
Students will be awarded CENTA2 Training Credits (CTCs) for participation in CENTA2-provided and ‘free choice’ external training. One CTC equates to 1⁄2 day session and students must accrue 100 CTCs across the three years of their PhD.
You will receive training in a broad array of skills that will prepare you for a career in the environmental sciences: biological / environmental computing and programming (e.g. GIS, bash scripting, R, Linux), mathematical modelling, molecular genetic analysis, manuscript preparation and oral presentation.
In addition to CENTA training you will receive tailored training from:
- Supervisors directly (e.g. mathematical modelling, population genetics theory, bioinformatics, GIS).
- Ad hoc participation in University of Leicester MSc courses (e.g. Molecular Genetics, Geographical Information Science).
- University of Leicester courses (e.g. R, Python).
Partners and collaboration
Dr Rob Hammond has worked on Hymenoptera, especially, L.acervorum, for 20+ years and is experienced in molecular genetics, and the analysis of next generation sequencing data. Dr Nick Tate is an associate professor of the GIS and Remote Sensing Research Group with 20+ years of experience in GIS.
Dr Fabian Freund is a mathematical population geneticist with 10+ years experience in applying mathematical techniques to biological problems. For more information please see Dr Freund’s Google Scholar page.
For further details please contact Dr Rob Hammond (email: [email protected], phone: 0116 252 5302, webpage: https://le.ac.uk/people/rob-hammond).
If you wish to apply to the project, applications should include:
- A CENTA application form, downloadable from: CENTA application
- A CV with the names of at least two referees (preferably three and who can comment on your academic abilities)
- Submit your application and complete the host institution application process via: https://le.ac.uk/study/research-degrees/funded-opportunities/centa-phd-studentships. Please quote CENTA2-GENE3-HAMM when completing the application form.
Applications to be received by the end of the day on Wednesday 11th January 2023.
Literature review and training in GIS and mathematical modelling. Development of mathematical models (objective 1) and GIS modelling (objective 3).
Paper preparation from mathematical modelling. Fieldwork in Spain collecting ants / testing predictive GIS models. DNA extraction and sequencing and diploid male estimation (objective 2).
Analysis of genetic data, paper preparation, international conference presentation, thesis preparation and submission.
- Harpur, B.A., Sobhani, M., Zayed, A., 2013. A review of the consequences of complementary sex determination and diploid male production on mating failures in the Hymenoptera. Entomol. Exp. Appl. 146, 156–164. https://doi.org/10.1111/j.1570-7458.2012.01306.x
- Heimpel, G.E., de Boer, J.G., 2008. Sex determination in the Hymenoptera. Annu. Rev. Entomol. 53, 209–230. https://doi.org/10.1146/annurev.ento.53.103106.093441
- Sanchez-Bayo, F., Wyckhuys, K.A.G., 2019. Worldwide decline of the entomofauna: A review of its drivers. Biol. Conserv. 232, 8–27. https://doi.org/10.1016/j.biocon.2019.01.020
- Zayed, A., Packer, L., 2005. Complementary sex determination substantially increases extinction proneness of haplodiploid populations. Proc. Natl. Acad. Sci. U. S. A. 102, 10742–10746. https://doi.org/10.1073/pnas.0502271102
The PhD project contains built-in flexibility that ensures it is highly resilient to a respiratory and contact infection pandemic. In the event of a total shutdown two elements of the project (models and GIS) would be unaffected. The gap left by the absence of fieldwork could be filled by using existing genomic data (draft genomes and resequencing data) and published genomic data from related species to identify potential candidates for the csd locus.