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Trichoderma harzianum enhances tomato indirect defense against aphids

Insect Science 2017年第6期24卷 1025-1033页

作者： mariangela Coppola Pasquale Cascone maria luisa chiusano Chiara Colantuono Matteo Lorito Francesco Pennacchio Rosa Rao Sheridan Lois Woo Emilio Guerrieri maria Cristina Digilio Department of Agricultural Sciences University of Naples Federico II Portici Italy CNR--IPSP Portici Italy

Many fungal root symbionts of the genus Trichoderma are well-known for their beneficial effects on agronomic performance and protection against plant pathogens; moreover, they may enhance protection from insect pests, by triggering plant resistance mechanisms. Defense barriers against insects are induced by the activation of metabolic pathways involved in the production of defense-related plant compounds, either directly active against herbivore insects, or exerting an indirect effect, by increasing the attrac- tion of herbivore natural enemies. In a model system composed of the tomato plant, the aphid Macrosiphum euphorbiae and the parasitoid Aphidius ervi, plant metabolic changes induced by Trichoderma harzianum and their effects on higher trophic levels have been assessed. T. harzianum T22 treatments induce a primed state that upon aphid attacks leads to an increased attraction of aphid parasitoids, mediated by the enhanced produc- tion of volatile organic compounds （VOCs） that are known to induce Aphidius ervi flight. Transcriptome sequencing of T22-treated plants infested by aphids showed a remarkable upregulation of genes involved in terpenoids biosynthesis and salicylic acid pathway, which are consistent with the observed flight response ofA. ervi and the VOC bouquet profile underlying this behavioral response.

关键词： defense gene defense priming Macrosiphum euphorbiae multitrophic interactions transcriptome VOCs

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Pilot Study on the Intercalibration of a Categorisation System for FAIRer Digital Objects Related to Sensitive Data in the Life Sciences

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Data Intelligence 2022年第2期4卷 196-211页

作者： Christian Ohmann Romain David Mónica Cano Abadia Florence Bietrix Jan-Willem Boiten Steve Canham maria luisa chiusano Walter Dastrù Arnaud Laroquette Dario Longo Michaela Theresia Mayrhofer maria Panagiotopoulou Audrey Richard Pablo Emilio Verde European Clinical Research Infrastructure Network (ECRIN) 2. European Research Infrastructure on Highly Pathogenic Agents (ERINHA AISBL) 3. Biobanking and Biomolecular Resources Research Infrastructure (BBMRI) 4. European Infrastructure for Translational Medicine (EATRIS) 5. European Advanced Translational Research Infrastructure (EATRIS)/Lygature European Marine Biological Resource Centre (EMBRC)—Department of Agricultural Sciences University Federico II of Naples via Università Department of Molecular Biotechnology and Health Sciences Molecular Imaging Center University of Torino European Marine Biological Resource Centre (EMBRC) 9. European Research Infrastructure for Biological and Biomedical Imaging (Euro-Bio Imaging) Coordination Centre for Clinical Trials Heinrich Heine University Düsseldorf Ringgold standard institution

Sharing sensitive data is a specific challenge for research infrastructures in the field of life sciences. For that reason a toolbox has been developed, providing resources for researchers who wish to share and use sensitive data, to support the workflows for handling these kinds of digital objects. Common and community approved annotations are required to be compliant with FAIR principles(Findability, Accessibility,Interoperability, Reusability). The toolbox makes use of a tagging(categorisation) system, allowing consistent labelling and categorisation of digital objects, in terms relevant to data sharing tasks and activities. A pilot study was performed within the Horizon 2020 project EOSC-Life, in which 2 experts from 6 life sciences research infrastructures were recruited to independently assign tags to the same set of 10 to 25 resources related to sensitive data management and data sharing(in total 110). Summary statistics of agreement and observer variation per research infrastructure are provided. The pilot study has shown that experts were able to attribute tags but in most cases with a considerable observer variation between experts. In the context of CWFR(Canonical Workflow Frameworks for Research), this indicates the necessity for careful definition,evaluation and validation of parameters and processes related to workflow descriptions. The results from this pilot study were used to tackle this issue by revising the categorisation system and providing an updated version.

关键词： Categorisation system CWFR EOSC-Life FAIR Life sciences Sensitive data Tagging Toolbox

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Pilot Study on the Intercalibration of a Categorisation System for FAlRer Digital Objects Related to Sensitive Data in the Life Sciences

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Data Intelligence 2022年第2期4卷 196-211页

作者： Christian Ohmann Romain David Monica Cano Abadia Florence Bietrix Jan-Willem Boiten Steve Canham maria luisa chiusano Walter Dastru Arnaud Laroquette Dario Longo Michaela Theresia Mayrhofer maria Panagiotopoulou Audrey Richard Pablo Emilio Verde European Clinical Research Infrastructure Network(ECRIN) Paris 75013France European Research Infrastructure on Highly Pathogenic Agents(ERINHA AISBL) Brussels 10ooBelgium Biobanking and Biomolecular Resources Research Infrastructure(BBMRI) Graz 8010Austria European Infrastructure for Translational Medicine(EATRIS) Amsterdam 1081 HZThe Netherlands European Advanced Translational Research Infrastructure(EATRIS)/Lygature Utrecht 3521 ALThe Netherlands European Marine Biological Resource Centre(EMBRC)Department of Agricultural Sciences University Federico Il of Naples via UniversitaNaples 80138Italy Department of Molecular Biotechnology and Health Sciences Molecular Imaging CenterUniversity of TorinoTorino I-10125Italy European Marine Biological Resource Centre(EMBRC) Paris 75252France European Research Infrastructure for Biological and Biomedical Imaging(Euro-Biolmaging) Torino 10126Italy European Research Infrastructure on Highly Pathogenic Agents(ERINHA AISBL) Brussels 1000Belgium Coordination Centre for Clinical Trials Heinrich Heine University Dusseldorf Ringgold standard institutionNordrhein-Westfalen 40225Germany

Sharing sensitive data is a specific challenge for research infrastructures in the field of life *** that reason a toolbox has been developed,providing resources for researchers who wish to share and use sensitive data,to support the workflows for handling these kinds of digital *** and community approved annotations are required to be compliant with FAIR principles(Findability,Accessibility,Interoperability,Reusability).The toolbox makes use of a tagging(categorisation)system,allowing consistent labelling and categorisation of digital objects,in terms relevant to data sharing tasks and activities.A pilot study was performed within the Horizon 2020 project EOSC-Life,in which 2 experts from 6 life sciences research infrastructures were recruited to independently assign tags to the same set of 10 to 25 resources related to sensitive data management and data sharing(in total 110).Summary statistics of agreement and observer variation per research infrastructure are *** pilot study has shown that experts were able to attribute tags but in most cases with a considerable observer variation between *** the context of CWFR(Canonical Workflow Frameworks for Research),this indicates the necessity for careful definition,evaluation and validation of parameters and processes related to workflow *** results from this pilot study were used to tackle this issue by revising the categorisation system and providing an updated version.

关键词： Sensitive data CWFR EOSC-Life Life sciences Toolbox Categorisation system Tagging FAIR

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