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Abai, M R Abate, L Abbott, B J Aberger, Fritz Achouri, El M Achstetter, T Ades, S Adjalley, Sophie H Aganezov, S S Aggarwal, Kamna Aguiar, Eric Roberto Guimarães Rocha Aimanianda, Vishukumar Akakura, Reiko Akira, Shizuo Aksoy, S Alekseyev, M A Allen, J E Alvarez, K S Amcheslavsky, Alla Ames, Lauren Ammerer, Gustav Amon, J Andrès, Emmanuel Antoniewski, Christophe Aoun, Richard Bou Arcà, B Arensburger, P Arese, Paolo Arnold, Johan Aronstein, K Artemov, G Ashburner, M Ashida, Hiroshi Asmar, Joelle Assour, L A Aumayr, Karin Aurouze, Marianne Ausubel, FM Ausubel, Frederick M Awono-Ambene, P H Ayyaz, Arshad Bachar, D Bachellier-Bassi, Sophie Bagrel, Denyse Baker, Dean Baldini, Francesco Bang, L Bang, Lee Barbier, Vincent Barcena, Laura Barillas-Mury, Carolina Baron, Olga Lucia Bartholomay, L C Basseri, H Basset, A Batsche, Eric Baumert, Thomas Baumert, Thomas F Baxter, Richard H Baxter, Richard H G Bayer, Martina Belorgey, Didier Belvin, Marcia Bentzmann, Sophie De Benveniste, P Bergami, 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2015
Articles de journaux
1. Aguiar, Eric Roberto Guimarães Rocha; Olmo, Roenick Proveti; Paro, Simona; Ferreira, Flavia Viana; da de Faria, Isaque João Silva; Todjro, Yaovi Mathias Honore; Lobo, Francisco Pereira; Kroon, Erna Geessien; Meignin, Carine; Gatherer, Derek; Imler, Jean-Luc; Marques, João Trindade
Sequence-independent characterization of viruses based on the pattern of viral small RNAs produced by the host Article de journal
Nucleic Acids Research, 43 (13), p. 6191–6206, 2015 , ISSN: 1362-4962 .
Résumé | Liens | BibTeX | Étiquettes: Contig Mapping , Female , Insects , Ovary , Plants , RNA , Sequence Analysis , Small Untranslated , Vertebrates , Viral , Viral Tropism , Viruses
@article{aguiar_sequence-independent_2015,
title = {Sequence-independent characterization of viruses based on the pattern of viral small RNAs produced by the host},
author = { Eric Roberto Guimarães Rocha Aguiar and Roenick Proveti Olmo and Simona Paro and Flavia Viana Ferreira and Isaque João da Silva de Faria and Yaovi Mathias Honore Todjro and Francisco Pereira Lobo and Erna Geessien Kroon and Carine Meignin and Derek Gatherer and Jean-Luc Imler and João Trindade Marques},
url = {http://nar.oxfordjournals.org/lookup/doi/10.1093/nar/gkv587},
doi = {10.1093/nar/gkv587},
issn = {1362-4962},
year = {2015},
date = {2015-07-01},
journal = {Nucleic Acids Research},
volume = {43},
number = {13},
pages = {6191--6206},
abstract = {Virus surveillance in vector insects is potentially of great benefit to public health. Large-scale sequencing of small and long RNAs has previously been used to detect viruses, but without any formal comparison of different strategies. Furthermore, the identification of viral sequences largely depends on similarity searches against reference databases. Here, we developed a sequence-independent strategy based on virus-derived small RNAs produced by the host response, such as the RNA interference pathway. In insects, we compared sequences of small and long RNAs, demonstrating that viral sequences are enriched in the small RNA fraction. We also noted that the small RNA size profile is a unique signature for each virus and can be used to identify novel viral sequences without known relatives in reference databases. Using this strategy, we characterized six novel viruses in the viromes of laboratory fruit flies and wild populations of two insect vectors: mosquitoes and sandflies. We also show that the small RNA profile could be used to infer viral tropism for ovaries among other aspects of virus biology. Additionally, our results suggest that virus detection utilizing small RNAs can also be applied to vertebrates, although not as efficiently as to plants and insects.},
keywords = {Contig Mapping, Female, Insects, Ovary, Plants, RNA, Sequence Analysis, Small Untranslated, Vertebrates, Viral, Viral Tropism, Viruses},
pubstate = {published},
tppubtype = {article}
}
Virus surveillance in vector insects is potentially of great benefit to public health. Large-scale sequencing of small and long RNAs has previously been used to detect viruses, but without any formal comparison of different strategies. Furthermore, the identification of viral sequences largely depends on similarity searches against reference databases. Here, we developed a sequence-independent strategy based on virus-derived small RNAs produced by the host response, such as the RNA interference pathway. In insects, we compared sequences of small and long RNAs, demonstrating that viral sequences are enriched in the small RNA fraction. We also noted that the small RNA size profile is a unique signature for each virus and can be used to identify novel viral sequences without known relatives in reference databases. Using this strategy, we characterized six novel viruses in the viromes of laboratory fruit flies and wild populations of two insect vectors: mosquitoes and sandflies. We also show that the small RNA profile could be used to infer viral tropism for ovaries among other aspects of virus biology. Additionally, our results suggest that virus detection utilizing small RNAs can also be applied to vertebrates, although not as efficiently as to plants and insects.