A5073383379- Forest Ecology and Biodiversity Studies
- Mycorrhizal Fungi and Plant Interactions
- Fungal Biology and Applications
- Forensic and Genetic Research
- Bioinformatics and Genomic Networks
- Parkinson's Disease Mechanisms and Treatments
- Genetic Associations and Epidemiology
- Genetic diversity and population structure
- Archaeology and ancient environmental studies
- Forensic Anthropology and Bioarchaeology Studies
- Race, Genetics, and Society
- Plant Pathogens and Fungal Diseases
Centre for Human Genetics
2018-2019
University of Oxford
2018-2019
Institut Agro Dijon
2014-2016
Agroécologie
2014-2016
Université Bourgogne Franche-Comté
2016
Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement
2016
Institut National de la Recherche Agronomique
2015
A population in a natural crossroad within Europe reveals multiple ancient contributions and substantial structure.
Due to the potential of arbuscular mycorrhizal fungi (AMF, Glomeromycota) improve plant growth and soil quality, influence agricultural practice on their diversity continues be an important research question. Up now studies community in AMF have exclusively been based nuclear ribosomal gene regions, which show high intra-organism polymorphism, seriously complicating interpretation these data. We designed specific PCR primers for 454 sequencing a region largest subunit RNA polymerase II gene,...
European populations display low genetic diversity as the result of long term blending small number ancient founding ancestries. However it is still unclear how combination ancestries related to early foragers, Neolithic farmers and Bronze Age nomadic pastoralists can fully explain variation across Europe. Populations in natural crossroads like Italian peninsula are expected recapitulate overall continental diversity, but date have been systematically understudied. Here we characterised...
Abstract The generation of deeply phenotyped patient cohorts offers an enormous potential to identify disease subtypes but are currently limited by the cohort size and heterogeneity clinical assessments collected across different cohorts. Identifying universal axes clinal severity progression is key accelerating our understanding how manifests progresses. These would accelerate Parkinson’s (PD) progresses through which patients may be appropriately compared stratified, personalised...