Environmental microbial surveys have revealed a remarkable diversity of microeukaryotic life in most ecosystems, the majority of which had previously escaped detection. From an ecological point of view this work highlighted our ignorance of critical microbial players in natural environmental processes, including primary production, biogeochemical cycling and trophic interactions such as parasitism and grazing. Consequently, our understanding of community function is partial, limiting our ability to study environmental change. While, from an evolutionary perspective, we are missing major components of the Tree of Life giving rise to a fragmented understanding of how major cellular functions have evolved. Single cell genomics (SCG), including single cell transcriptomics, is an emerging technology that has the potential to retrieve genomic information from individual uncultured microbes recovered directly from natural environments and promises to provide new tools to investigate microeukaryotes in unparalleled detail. The aim of this ITN is therefore to train a new generation of scientists with the highest expertise, in SCG, from the initial stages of cell sorting to genome sequencing and gene annotation, to the full exploitation of the data obtained. Such progress will allow the European research community for the first time to address critical ecological and evolutionary questions. SINGEK will drive training through research by both local and network-wide activities, secondments, and workshops, and by establishing an environment that extends far beyond each partner team. This training environment will also provide the transferable skills essential for successful career development. This network of well connected and highly qualified scientists with expertise in eukaryotic SCG will be ready to implement this technology beyond ecology and evolution to other fields such as biomedicine or biotechnology driving innovation across the EU.
Deliverables
List of deliverables.
Inventories of microeukaryotic diversity in contrasted ecosystems, including novelty
Other
2020-01-14 16:52:52
Pipelines for de novo assembly of Illumina data into contigs depending on the sample
Other
2019-10-08 17:02:53
A procedure to check the quality of the initial reads and the large assemblies
Other
2019-10-08 17:03:03
Scientific Conference: European SCG Meeting
Other
2019-10-08 17:02:49
Pipelines for gene detection and annotation of novel taxa
Other
2019-05-27 10:26:59
Popularizations events
Websites, patent fillings, videos etc.
2019-05-27 10:26:48
Reconstruction of functional and metabolic pathways of several eukaryotes
Other
2019-05-27 10:27:02
An optimized procedure for genome or transcriptome amplification from single cells
Are you the coordinator (or a participant) of this project? Plaese send me more information about the "SINGEK" project.
For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.
Send me an email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.
Thanks. And then put a link of this page into your project's website.
The information about "SINGEK" are provided by the European Opendata Portal: CORDIS opendata.
More projects from the same programme (H2020-EU.1.3.1.)
Shape-IT (2019)
Supporting the interaction of Humans and Automated vehicles: Preparing for the EnvIronment of Tomorrow