High-throughput isolation of giant viruses using high-content screening
| Autor: | Rania Francis, Yusuke Ominami, Bernard La Scola, Jacques Yaacoub Bou Khalil |
|---|---|
| Přispěvatelé: | Microbes évolution phylogénie et infections (MEPHI), Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Aix Marseille Université (AMU), Institut de Recherche pour le Développement (IRD)-Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS) |
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Water microbiology
Medicine (miscellaneous) Acanthamoeba Computational biology 030312 virology Biology Virus-host interactions Virus Replication Genome General Biochemistry Genetics and Molecular Biology Article Fluorescence Isolation rate 03 medical and health sciences [SDV.MHEP.CSC]Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular system [SDV.MHEP.MI]Life Sciences [q-bio]/Human health and pathology/Infectious diseases Giant Virus [SDV.MP.PAR]Life Sciences [q-bio]/Microbiology and Parasitology/Parasitology lcsh:QH301-705.5 ComputingMilieux_MISCELLANEOUS 030304 developmental biology 0303 health sciences [SDV.MHEP.ME]Life Sciences [q-bio]/Human health and pathology/Emerging diseases Isolation (microbiology) [SDV.MP.BAC]Life Sciences [q-bio]/Microbiology and Parasitology/Bacteriology 3. Good health lcsh:Biology (General) Metagenomics High-content screening Giant Viruses [SDV.MP.VIR]Life Sciences [q-bio]/Microbiology and Parasitology/Virology Microscopy Electron Scanning General Agricultural and Biological Sciences |
| Zdroj: | Communications Biology Communications Biology, Nature Publishing Group, 2019, 2 (1), ⟨10.1038/s42003-019-0475-6⟩ Communications Biology, Vol 2, Iss 1, Pp 1-10 (2019) Communications Biology, 2019, 2 (1), ⟨10.1038/s42003-019-0475-6⟩ |
| ISSN: | 2399-3642 |
| Popis: | The race to discover and isolate giant viruses began 15 years ago. Metagenomics is counterbalancing coculture, with the detection of giant virus genomes becoming faster as sequencing technologies develop. Since the discovery of giant viruses, many efforts have been made to improve methods for coculturing amebas and giant viruses, which remains the key engine of isolation of these microorganisms. However, these techniques still lack the proper tools for high-speed detection. In this paper, we present advances in the isolation of giant viruses. A new strategy was developed using a high-throughput microscope for real-time monitoring of cocultures using optimized algorithms targeting infected amebas. After validating the strategy, we adapted a new tabletop scanning electron microscope for high-speed identification of giant viruses directly from culture. The speed and isolation rate of this strategy has raised the coculture to almost the same level as sequencing techniques in terms of detection speed and sensitivity. Rania Francis et al. develop a new strategy for the identification and isolation of giant viruses in real time by using optimized algorithms targeting infected amebas in co-cultures. This new approach, which does not require sequencing techniques, is highly sensitive and 100-fold faster than other high throughput procedures. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|