University of Aberdeen

https://www.quadrat.ac.uk/wp-content/uploads/sites/15/2020/04/Fabio-Manfredini-1024x1024.jpg
Current Position Lecturer in Functional Genomics
Previous Position Research Associate, Royal Holloway University of London
Telephone +44 (0)1224 274 144
Email fabio.manfredini@abdn.ac.uk
Departments School of Biological Sciences
ECR No
Quadrat Core Themes Biodiversity
Methods I Use Omics and Informatics
Profiles

PURE   

Key Research Interests

  • Behavioural and physiological responses of insects to environmental changes
  • Molecular basis for the regulation of phenotypic plasticity
  • Ecology and evolution of social behaviour
  • Evolutionary ecology of invasive species
  • Host-parasite associations in insects

Recent Key Papers

  • Manfredini, , Arbetman, M. and Toth, A.L. “A potential role for phenotypic plasticity in invasions and declines of social insects”, Invited submission to Frontiers in Ecology and Evolution, Special issue on Arthropod Interactions and Responses to Disturbance in a Changing World (2019). https://doi.org/10.3389/fevo.2019.00375
  • Manfredini,, Romero A., Paccanaro A., Pedroso I., Sumner S. and Brown M.J.F. “Neurogenomic signatures of successes and failures in key life-history transitions in a key insect pollinator” Genome Biology and Evolution (2017). https://doi.org/10.1093/gbe/evx220
  • Manfredini, F., Lucas, C., Nicolas, M., Keller, L., Shoemaker, D.D., Grozinger, C.M. “Molecular and social regulation of worker division of labour in fire ants” Molecular ecology (2014) https://doi.org/10.1111/mec.12626

Summary Title of Current Studentships

  • Bee pollinators and ecosystem services they provide to natural and human-dominated communities
  • Diet breadth in native pollinators: oligolectic vs. polylectic species
  • Gene expression associated with different extents of diet plasticity (e.g. detoxification genes)
  • Interspecific foraging competition and exploitation of invasive plants(e.g. Rhododendron)
  • From behavioural observations to preparation of samples for molecular work and bioinformatic analyses