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КартаВръзкиТемиБългарияНощта (K-TRIO)Мария Склодовска-КюриЗа ученициЗа учителиМетодологияИзненадай ме
H2020Докторантска мрежа2016–2020

SINGEK · Promoting SINgle cell GEnomics to explore the ecology and evolution of hidden microeuKaryotes

„Хоризонт 2020“ — Действия „Мария Склодовска-Кюри“

Период
2016-01-01 → 2020-05-31
Финансиране от ЕС
3 889 393 €
Участници
16
Схема
MSCA-ITN-ETN

Линиите свързват координатора с партньорите. За проекти отпреди 2014 г. CORDIS не винаги дава точни координати. Тези точки са на ниво град или държава.

Накратко на български

Геномът на единични микроскопични еукариоти, като например непознати видове паразити, се анализира чрез специален метод за секвениране. Това помага да се разберат еволюцията на клетъчните мрежи и функциите на микробите в глобалната околна среда.

Този кратък обзор е генериран от изкуствен интелект

Кратко обяснение, генерирано от езиков модел по текста на CORDIS. Оригиналът е по-долу.

Резултати накратко

Promoting SINgle cell GEnomics to explore the ecology and evolution of hidden microeuKaryotes

Most of the extant diversity of eukaryotes remains poorly characterized, limiting society's understanding of, for example, the rise and diversification of parasite lineages, the evolutionary origin and variability of metabolic and cellular networks, and which microbes provide certain key functions in the global environment. Classical methodologies have provided up to now limited progress in our understanding of eukaryotic biology. The SINGEK project exploited the Single cell genomics (SCG), one of the most promising modern techniques given its capacity to provide genomic information of one cell at a time, a possibility unimaginable a few years ago. Applying SCG to microbial eukaryotes was particularly challenging when compared to SCG on prokaryotes, because of target genomes of greater complexity. The exploitation of SCG in this field was crucial for two main reasons: 1) to get de novo genomes of microbial species for which a pure culture was not available, and 2) to study the cell variability of genomic data and expressed genes within a microbial population. Despite the challenges and practical barriers to explore SCG to its full potential, the main objective of the SINGEK project was to train a new generation of researchers in SCG of microbial eukaryotes and do so by addressing a set of fundamental and inter-related scientific questions on evolution and ecology. Results and data generated during this project served to consolidate the SCG approach from back to end, improving the routines for single cell sorting, for whole genome amplification and sequencing, and for bioinformatic processing (including assembly, gene prediction and functional annotation). Multiple de novo genomes, representing hidden taxa in different positions of the eukaryotic tree of life, were obtained. These new genomes were used to improve the reconstruction of the eukaryotic radiation, to unveil parasitic or symbiotic interactions, to investigate the ecological potential of unknown species in base of the gene set detected, and to study the biogeography and gene expression of uncultured lineages across natural systems. Tools to study cell to cell variation in gene content and gene expression were also developed. The new datasets and tools generated are available in both public repositories and in-house web-searching platforms prepared by SINGEK members.

Текст от CORDIS, на английски · Данни: CORDIS, © Европейски съюз

Цел на проекта

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.

Оригинален текст от CORDIS (на английски).

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Данни: CORDIS, © Европейски съюз