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4 results on '"Augustin, Sylvie"'

1. Climate, host and geography shape insect and fungal communities of trees

Author

Franić, Iva, Allan, Eric, Prospero, Simone, Adamson, Kalev, Attorre, Fabio, Auger-Rozenberg, Marie-Anne, Augustin, Sylvie, Avtzis, Dimitrios, Baert, Wim, Barta, Marek, Bauters, Kenneth, Bellahirech, Amani, Boroń, Piotr, Bragança, Helena, Brestovanská, Tereza, Brurberg, May Bente, Burgess, Treena, Burokienė, Daiva, Cleary, Michelle, Corley, Juan, Coyle, David R, Csóka, György, Černý, Karel, Davydenko, Kateryna, de Groot, Maarten, Diez, Julio Javier, Doğmuş Lehtijärvi, H Tugba, Drenkhan, Rein, Edwards, Jacqueline, Elsafy, Mohammed, Eötvös, Csaba Béla, Falko, Roman, Fan, Jianting, Feddern, Nina, Fürjes-Mikó, Ágnes, Gossner, Martin M, Grad, Bartłomiej, Hartmann, Martin, Havrdova, Ludmila, Kádasi Horáková, Miriam, Hrabětová, Markéta, Justesen, Mathias Just, Kacprzyk, Magdalena, Kenis, Marc, Kirichenko, Natalia, Kovač, Marta, Kramarets, Volodymyr, Lacković, Nikola, Lantschner, Maria Victoria, Lazarević, Jelena, Leskiv, Marianna, Li, Hongmei, Madsen, Corrie Lynne, Malumphy, Chris, Matošević, Dinka, Matsiakh, Iryna, May, Tom W, Meffert, Johan, Migliorini, Duccio, Nikolov, Christo, O'Hanlon, Richard, Oskay, Funda, Paap, Trudy, Parpan, Taras, Piškur, Barbara, Ravn, Hans Peter, Richard, John, Ronse, Anne, Roques, Alain, Ruffner, Beat, Santini, Alberto, Sivickis, Karolis, Soliani, Carolina, Talgø, Venche, Tomoshevich, Maria, Uimari, Anne, Ulyshen, Michael, Vettraino, Anna Maria, Villari, Caterina, Wang, Yongjun, Witzell, Johanna, Zlatković, Milica, and Eschen, René

Subjects
580 Plants (Botany), 000 Computer science, knowledge & systems
Abstract

Non-native pests, climate change, and their interactions are likely to alter relationships between trees and tree-associated organisms with consequences for forest health. To understand and predict such changes, factors structuring tree-associated communities need to be determined. Here, we analysed the data consisting of records of insects and fungi collected from dormant twigs from 155 tree species at 51 botanical gardens or arboreta in 32 countries. Generalized dissimilarity models revealed similar relative importance of studied climatic, host-related and geographic factors on differences in tree-associated communities. Mean annual temperature, phylogenetic distance between hosts and geographic distance between locations were the major drivers of dissimilarities. The increasing importance of high temperatures on differences in studied communities indicate that climate change could affect tree-associated organisms directly and indirectly through host range shifts. Insect and fungal communities were more similar between closely related vs. distant hosts suggesting that host range shifts may facilitate the emergence of new pests. Moreover, dissimilarities among tree-associated communities increased with geographic distance suggesting that human-mediated transport may facilitate the introductions of new pests. The results of this study highlight the need to limit the establishment of tree pests and increase the resilience of forest ecosystems to changes in climate.

Published
2023

2. A P-glycoprotein is linked to resistance to the Bacillus thuringiensis Cry3Aa toxin in a leaf beetle

Author

Pauchet, Yannick, Bretschneider, Anne, Augustin, Sylvie, Heckel, David G., Department of Entomology, Michigan State University [East Lansing], Michigan State University System-Michigan State University System, Unité de recherche Zoologie Forestière (UZF), Institut National de la Recherche Agronomique (INRA), and Unité de recherche Zoologie Forestière (URZF)

Subjects
Male, ATP Binding Cassette Transporter, Subfamily B, coleoptera, ABC proteins, lcsh:Medicine, Toxicology, Bt resistance, Article, identification de gènes, Cell Line, Insecticide Resistance, protéine ABCA1, Hemolysin Proteins, Bt Cry3Aa toxin, Chrysomela tremula, leaf beetle, Bacterial Proteins, chrysomela tremulae, Animals, cry3a, toxin, Toxicologie, résistance aux bacteries, Bacillus thuringiensis Toxins, chrysomelidae, lcsh:R, fungi, chafers, bacillus thuringiensis, Endotoxins, toxine, [SDV.TOX]Life Sciences [q-bio]/Toxicology, Female
Abstract

Chrysomela tremula is a polyvoltine oligophagous leaf beetle responsible for massive attacks on poplar trees. This beetle is an important model for understanding mechanisms of resistance to Bacillus thuringiensis (Bt) insecticidal toxins, because a resistant C. tremula strain has been found that can survive and reproduce on transgenic poplar trees expressing high levels of the Cry3Aa Bt toxin. Resistance to Cry3Aa in this strain is recessive and is controlled by a single autosomal locus. We used a larval midgut transcriptome for C. tremula to search for candidate resistance genes. We discovered a mutation in an ABC protein, member of the B subfamily homologous to P-glycoprotein, which is genetically linked to Cry3Aa resistance in C. tremula. Cultured insect cells heterologously expressing this ABC protein swell and lyse when incubated with Cry3Aa toxin. In light of previous findings in Lepidoptera implicating A subfamily ABC proteins as receptors for Cry2A toxins and C subfamily proteins as receptors for Cry1A and Cry1C toxins, this result suggests that ABC proteins may be targets of insecticidal three-domain Bt toxins in Coleoptera as well.

Published
2016

3. Initial frequency of alleles conferring resistance toBacillus thuringiensispoplar in a field population ofChrysomela tremulae

Author

Genissel, Anne, Gé Nissel, Anne, Augustin, Sylvie, Courtin, Claudine, Pilate, Gilles, Lorme, Philippe, Bourguet, Denis, Unité de recherche Génétique Microbienne (UGM), Institut National de la Recherche Agronomique (INRA), Unité de recherche Amélioration, Génétique et Physiologie Forestières (AGPF), Unité de recherche Zoologie Forestière (URZF), Unité de Recherches de Lutte Biologique, Centre de Biologie pour la Gestion des Populations (UMR CBGP), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Université de Montpellier (UM)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Université de Montpellier (UM)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro - Montpellier SupAgro, and Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)

Subjects
Male, 0106 biological sciences, Mutation rate, Veterinary medicine, resistance management, [SDV]Life Sciences [q-bio], Gene Expression, Genetically modified crops, 01 natural sciences, Insecticide Resistance, Gene Frequency, Bacillus thuringiensis, General Environmental Science, 2. Zero hunger, 0303 health sciences, Larva, food and beverages, General Medicine, Plants, Genetically Modified, Coleoptera, Natural population growth, Female, F 2 screen, GENETIQUE DES POPULATIONS, General Agricultural and Biological Sciences, Research Article, Heterozygote, Liriodendron, resistance-allele frequency, Bacterial Toxins, Biology, General Biochemistry, Genetics and Molecular Biology, 03 medical and health sciences, transgenic Bacillus thuringiensis poplar, Botany, Animals, Allele, Pest Control, Biological, Allele frequency, 030304 developmental biology, General Immunology and Microbiology, fungi, Chrysomela tremulae, biology.organism_classification, 010602 entomology, high-dose plus refuge strategy, PEUPLIER, PEST analysis, RESISTANCE
Abstract

International audience; Globally, the estimated total area planted with transgenic plants producing Bacillus thuringiensis (Bt) toxins was 12 million hectares in 2001. The risk of target pests becoming resistant to these toxins has led to the implementation of resistance-management strategies. The efficiency and sustainability of these strategies, including the high-dose plus refuge strategy currently recommended for North American maize, depend on the initial frequency of resistance alleles. In this study, we estimated the initial frequencies of alleles conferring resistance to transgenic Bt poplars producing Cry3A in a natural population of the poplar pest Chrysomela tremulae (Coleoptera: Chrysomelidae). We used the F2 screen method developed for detecting resistance alleles in natural pest populations. At least three parents of the 270 lines tested were heterozygous for a major Bt resistance allele. We estimated mean resistance-allele frequency for the period 1999–2001 at 0.0037 (95% confidence interval = 0.000 45–0.0080) with a detection probability of 90%. These results demonstrate that (i) the F2 screen method can be used to detect major alleles conferring resistance to Bt-producing plants in insects and (ii) the initial frequency of alleles conferring resistance to Bt toxin can be close to the highest theoretical values that are expected prior to the use of Bt plants if considering fitness costs and typical mutation rates.

Published
2003

4. Community genetics in the time of next-generation molecular technologies

Author

Gugerli, Felix, Brandl, Roland, Castagneyrol, Bastien, Franc, Alain, Jactel, Herve, Koelewijn, Hans-Peter, Martin, Francis, Peter, Martina, Pritsch, Karin, Schröder, Hilke, Smulders, Marinus J. M., Kremer, Antoine, Ziegenhagen, Birgit, Augustin, Sylvie, Burban, Christian, CAVERS, Stephen, Conord, Cyrille, Fady, Bruno, Kerdelhue, Carole, Lefèvre, Francois, Muratorio, Sylvie, Villar, Marc, Swiss Federal Institute for Forest, Snow and Landscape Research WSL, Fachbereich Biologie, Philipps Universität Marburg, Biodiversité, Gènes & Communautés (BioGeCo), Institut National de la Recherche Agronomique (INRA)-Université de Bordeaux (UB), ALTERRA Centre for Ecosystem Studies, Wageningen University and Research [Wageningen] (WUR), Interactions Arbres-Microorganismes (IAM), Institut National de la Recherche Agronomique (INRA)-Université de Lorraine (UL), Institute of Soil Ecology, Helmholtz-Zentrum München (HZM), Institute for Forest Genetics, Johann Heinrich von Thünen Institut, Plant Research International, Unité de recherche Zoologie Forestière (URZF), Institut National de la Recherche Agronomique (INRA), Unité de recherche Amélioration, Génétique et Physiologie Forestières (AGPF), Ecologie des Forêts Méditerranéennes (URFM), Centre de Biologie pour la Gestion des Populations (UMR CBGP), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Université de Montpellier (UM)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), Swiss Federal Institute for Forest Snow and Landscape Research (WSL), Philipps Universität Marbug, Biodiversité, Gènes et Communautés, Wageningen University and Research Center (WUR), Université de Lorraine (UL)-Institut National de la Recherche Agronomique (INRA), Unité de recherche Zoologie Forestière (UZF), Unité de recherche Amélioration, Génétique et Physiologie Forestières (UAGPF), and Ecologie des Forêts Méditerranéennes [Avignon] (URFM 629)

Subjects
0106 biological sciences, Proteomics, Insecta, intéraction génétique, Inference, ecosystem genetics, 01 natural sciences, Nucleotide diversity, Population genomics, écologie des communautés, Mycorrhizae, CE - Molecular Ecology Ecotoxicology and Wildlife Management, marqueur adn, herbivore community, quantitative trait analysis, 0303 health sciences, quantitative analysis, Ecology, forest ecosystems, laccaria-bicolor, Community genetics, Genomics, forest ecosystem, Plants, Biota, Variety (cybernetics), analyse quantitative, plant genotype, Correlative, population genomics, symbiose ectomycorhizienne, Quantitative Trait Loci, Biology, nucleotide diversity, 010603 evolutionary biology, Ecology and Environment, 03 medical and health sciences, gene-to-gene interactions, Spatio-Temporal Analysis, Gene interaction, Genetics, [SDV.BV]Life Sciences [q-bio]/Vegetal Biology, Animals, Metabolomics, génomique des populations, Symbiosis, Ecology, Evolution, Behavior and Systematics, 030304 developmental biology, écosystème forestier, arthropod community, gene interaction, Gene Expression Profiling, ectomycorrhizal symbiosis, 15. Life on land, demographic history, Data science, insecte herbivore, Field (geography), fungal diversity, Plant Breeding, herbivorous insects, emerging synthesis, linkage disequilibrium
Abstract

The EC-supported Network of Excellence Evoltree (http://www.evoltree.eu) formed a group of scientists involved in and actively contributing to Jointly Executed Research Activities on community genetics in forest ecosystems. In addition to the main authors, the group includes S. Augu-stin, M. Brandle, C. Burban, J. Burczyk, S. Cavers, I. Chybicki, C. Conord, E. Cremer, J. DeWoody, K. Donges, B. Fady,L. Karlinski, C. Kerdelhue, B. Kieliszewska-Rokicka, G. Kost, M. Kulczyk-Skrzeszewska, F. Lakatos, F. Lefevre, S.Liepelt, S. Oddou-Muratorio, K.-H. Rexer, M. Rudawska, M.Schadler, G. Taylor, K. Tuba, M. Viger, F. Villani, M. Villar.; Understanding the interactions of co-occurring species within and across trophic levels provides key information needed for understanding the ecological and evolutionary processes that underlie biological diversity. As genetics has only recently been integrated into the study of community-level interactions, the time is right for a critical evaluation of potential new, gene-based approaches to studying communities. Next-generation molecular techniques, used in parallel with field-based observations and manipulative experiments across spatio-temporal gradients, are key to expanding our understanding of community-level processes. Here, we introduce a variety of ‘-omics’ tools, with recent studies of plant–insect herbivores and of ectomycorrhizal systems providing detailed examples of how next-generation approaches can revolutionize our understanding of interspecific interactions. We suggest ways that novel technologies may convert community genetics from a field that relies on correlative inference to one that reveals causal mechanisms of genetic co-variation and adaptations within communities.

Published
2011

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