Impact of NGS-based diagnosis on sugarcane quarantine processes

Quarantine processes are essentially performed for detecting known pathogens. In the last decade, Next Generation Sequencing (NGS) approaches have proved to be reliable methods for detecting and identifying both known and unknown viruses. The Cirad Sugarcane Quarantine (CSQ) had set up several pilot projects based on these NGS approaches aiming at evaluating their strength and reliability for sugarcane virus detection. For instance, we have used the so-called VANA (virion-associated nuclear acids) approach to detect viruses from CSQ material and CIRAD Sugarcane collection (CSC) material supplied by the Biological Resources Centre of Tropical Plants INRA-CIRAD. Leaf samples from 300 CSC and 245 CSQ cultivars were processed, respectively. Sequences generated by this study were filtered and assembled using in-house bioinformatics pipelines. Known viruses, such as Sugarcane yellow leaf virus (SCYLV), Sugarcane baciliform virus (SCBV), sugarcane infecting streak viruses (SSV, SSRV, SSEV) and Sugarcane mosaic virus (SCMV) were reliably detected using the VANA approach. In addition, several unknown viruses were found, including viruses from the Geminiviridae and the Tombusviridae families. Another virus belonging to the Ampelovirus genus (Closteroviridae family), which is likely to correspond to Sugarcane mild mosaic virus(SCMMV) described by B.E.L Lockhart et al. was also found in both CSQ and CSC plants. The discovery of these new sugarcane viruses stresses the need to better and dynamically adapt quarantine processes to the emergence of unknown viruses. A full characterization of these novel viruses must be carried out before figuring out whether the detection and sanitation of these novel viruses have to be included within CSQ processes. The full characterization of these novel viruses includes several complementary studies, such as virus genomics, virus epidemiology, virus detection, risk analysis and plant sanitation. This approach is already applied for a novel Mastrevirus (Geminivridae) and will be next extend to the other new detected viruses. (Texte intégral)

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Main Authors: Daugrois, Jean-Heinrich, Darroussat, Marie-Josée, Fenouillet, Catherine, Ferdinand, Romain, Fernandez, Emmanuel, Filloux, Denis, Galzi, Serge, Guinet-Brial, Isabelle, Julian, Charlotte, Lubin, Nadia, Roques, Danièle, Roumagnac, Philippe
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Language:eng
Published: FIADE
Subjects:H20 - Maladies des plantes, U30 - Méthodes de recherche,
Online Access:http://agritrop.cirad.fr/578789/
http://agritrop.cirad.fr/578789/13/comm_578789.pdf
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spelling dig-cirad-fr-5787892021-01-04T12:18:11Z http://agritrop.cirad.fr/578789/ http://agritrop.cirad.fr/578789/ Impact of NGS-based diagnosis on sugarcane quarantine processes. Daugrois Jean-Heinrich, Darroussat Marie-Josée, Fenouillet Catherine, Ferdinand Romain, Fernandez Emmanuel, Filloux Denis, Galzi Serge, Guinet-Brial Isabelle, Julian Charlotte, Lubin Nadia, Roques Danièle, Roumagnac Philippe. 2015. In : Book of abstracts. XI Pathology and IX Entomology ISSCT joint Workshop. FIADE. Guayaquil : FIADE, Résumé, 17. ISSCT Pathology Workshop. 11, Guayaquil, Équateur, 14 Septembre 2015/18 Septembre 2015.http://cincae.org/pathentoworkshops/ <http://cincae.org/pathentoworkshops/> Researchers Impact of NGS-based diagnosis on sugarcane quarantine processes Daugrois, Jean-Heinrich Darroussat, Marie-Josée Fenouillet, Catherine Ferdinand, Romain Fernandez, Emmanuel Filloux, Denis Galzi, Serge Guinet-Brial, Isabelle Julian, Charlotte Lubin, Nadia Roques, Danièle Roumagnac, Philippe eng 2015 FIADE Book of abstracts. XI Pathology and IX Entomology ISSCT joint Workshop H20 - Maladies des plantes U30 - Méthodes de recherche Quarantine processes are essentially performed for detecting known pathogens. In the last decade, Next Generation Sequencing (NGS) approaches have proved to be reliable methods for detecting and identifying both known and unknown viruses. The Cirad Sugarcane Quarantine (CSQ) had set up several pilot projects based on these NGS approaches aiming at evaluating their strength and reliability for sugarcane virus detection. For instance, we have used the so-called VANA (virion-associated nuclear acids) approach to detect viruses from CSQ material and CIRAD Sugarcane collection (CSC) material supplied by the Biological Resources Centre of Tropical Plants INRA-CIRAD. Leaf samples from 300 CSC and 245 CSQ cultivars were processed, respectively. Sequences generated by this study were filtered and assembled using in-house bioinformatics pipelines. Known viruses, such as Sugarcane yellow leaf virus (SCYLV), Sugarcane baciliform virus (SCBV), sugarcane infecting streak viruses (SSV, SSRV, SSEV) and Sugarcane mosaic virus (SCMV) were reliably detected using the VANA approach. In addition, several unknown viruses were found, including viruses from the Geminiviridae and the Tombusviridae families. Another virus belonging to the Ampelovirus genus (Closteroviridae family), which is likely to correspond to Sugarcane mild mosaic virus(SCMMV) described by B.E.L Lockhart et al. was also found in both CSQ and CSC plants. The discovery of these new sugarcane viruses stresses the need to better and dynamically adapt quarantine processes to the emergence of unknown viruses. A full characterization of these novel viruses must be carried out before figuring out whether the detection and sanitation of these novel viruses have to be included within CSQ processes. The full characterization of these novel viruses includes several complementary studies, such as virus genomics, virus epidemiology, virus detection, risk analysis and plant sanitation. This approach is already applied for a novel Mastrevirus (Geminivridae) and will be next extend to the other new detected viruses. (Texte intégral) conference_item info:eu-repo/semantics/conferenceObject Conference info:eu-repo/semantics/publishedVersion http://agritrop.cirad.fr/578789/13/comm_578789.pdf text Cirad license info:eu-repo/semantics/restrictedAccess https://agritrop.cirad.fr/mention_legale.html http://cincae.org/pathentoworkshops/ info:eu-repo/semantics/altIdentifier/purl/http://cincae.org/pathentoworkshops/
institution CIRAD FR
collection DSpace
country Francia
countrycode FR
component Bibliográfico
access En linea
databasecode dig-cirad-fr
tag biblioteca
region Europa del Oeste
libraryname Biblioteca del CIRAD Francia
language eng
topic H20 - Maladies des plantes
U30 - Méthodes de recherche
H20 - Maladies des plantes
U30 - Méthodes de recherche
spellingShingle H20 - Maladies des plantes
U30 - Méthodes de recherche
H20 - Maladies des plantes
U30 - Méthodes de recherche
Daugrois, Jean-Heinrich
Darroussat, Marie-Josée
Fenouillet, Catherine
Ferdinand, Romain
Fernandez, Emmanuel
Filloux, Denis
Galzi, Serge
Guinet-Brial, Isabelle
Julian, Charlotte
Lubin, Nadia
Roques, Danièle
Roumagnac, Philippe
Impact of NGS-based diagnosis on sugarcane quarantine processes
description Quarantine processes are essentially performed for detecting known pathogens. In the last decade, Next Generation Sequencing (NGS) approaches have proved to be reliable methods for detecting and identifying both known and unknown viruses. The Cirad Sugarcane Quarantine (CSQ) had set up several pilot projects based on these NGS approaches aiming at evaluating their strength and reliability for sugarcane virus detection. For instance, we have used the so-called VANA (virion-associated nuclear acids) approach to detect viruses from CSQ material and CIRAD Sugarcane collection (CSC) material supplied by the Biological Resources Centre of Tropical Plants INRA-CIRAD. Leaf samples from 300 CSC and 245 CSQ cultivars were processed, respectively. Sequences generated by this study were filtered and assembled using in-house bioinformatics pipelines. Known viruses, such as Sugarcane yellow leaf virus (SCYLV), Sugarcane baciliform virus (SCBV), sugarcane infecting streak viruses (SSV, SSRV, SSEV) and Sugarcane mosaic virus (SCMV) were reliably detected using the VANA approach. In addition, several unknown viruses were found, including viruses from the Geminiviridae and the Tombusviridae families. Another virus belonging to the Ampelovirus genus (Closteroviridae family), which is likely to correspond to Sugarcane mild mosaic virus(SCMMV) described by B.E.L Lockhart et al. was also found in both CSQ and CSC plants. The discovery of these new sugarcane viruses stresses the need to better and dynamically adapt quarantine processes to the emergence of unknown viruses. A full characterization of these novel viruses must be carried out before figuring out whether the detection and sanitation of these novel viruses have to be included within CSQ processes. The full characterization of these novel viruses includes several complementary studies, such as virus genomics, virus epidemiology, virus detection, risk analysis and plant sanitation. This approach is already applied for a novel Mastrevirus (Geminivridae) and will be next extend to the other new detected viruses. (Texte intégral)
format conference_item
topic_facet H20 - Maladies des plantes
U30 - Méthodes de recherche
author Daugrois, Jean-Heinrich
Darroussat, Marie-Josée
Fenouillet, Catherine
Ferdinand, Romain
Fernandez, Emmanuel
Filloux, Denis
Galzi, Serge
Guinet-Brial, Isabelle
Julian, Charlotte
Lubin, Nadia
Roques, Danièle
Roumagnac, Philippe
author_facet Daugrois, Jean-Heinrich
Darroussat, Marie-Josée
Fenouillet, Catherine
Ferdinand, Romain
Fernandez, Emmanuel
Filloux, Denis
Galzi, Serge
Guinet-Brial, Isabelle
Julian, Charlotte
Lubin, Nadia
Roques, Danièle
Roumagnac, Philippe
author_sort Daugrois, Jean-Heinrich
title Impact of NGS-based diagnosis on sugarcane quarantine processes
title_short Impact of NGS-based diagnosis on sugarcane quarantine processes
title_full Impact of NGS-based diagnosis on sugarcane quarantine processes
title_fullStr Impact of NGS-based diagnosis on sugarcane quarantine processes
title_full_unstemmed Impact of NGS-based diagnosis on sugarcane quarantine processes
title_sort impact of ngs-based diagnosis on sugarcane quarantine processes
publisher FIADE
url http://agritrop.cirad.fr/578789/
http://agritrop.cirad.fr/578789/13/comm_578789.pdf
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