Novel Pesticides for a Sustainable Agriculture

Informazioni relative al progetto

NoPest

ID dell’accordo di sovvenzione: 828940

DOI

10.3030/828940

Progetto chiuso

Data della firma CE 17 Dicembre 2018

Data di avvio 1 Gennaio 2019

Data di completamento 31 Dicembre 2024

Finanziato da

• EXCELLENT SCIENCE - Future and Emerging Technologies (FET)

Costo totale

€ 3 236 820,00

Contributo UE

€ 3 236 820,00

Coordinato da

UNIVERSITA DEGLI STUDI DI MILANO
Italy

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

Documents, reports (16)

Protocols to insert on non-proteinogenic aminoacids in peptides UPSud

Protocols to insert on nonproteinogenic aminoacids in peptidesUPSud

Protocols for the synthesis of fluorinated amino acids
NoPest meeting schedule

A schedule with conference calls and project meetings and locations.

List of candidate cell wall target enzymes

List of candidate cell wall target enzymes will be produced and used in the next WPs.

NoPest meets the public

A schedule with events and locations dedicated to the general public

Protocols to assay in vitro the anti-microbial activity of aptamers +/- CPPs

Protocols to assay in vitro the antimicrobial activity of aptamers CPPs

Biochemical and functional properties of selected cell wall enzymes
Evaluation of high-throughput phenotyping tools at lab level

Evaluation of highthroughput phenotyping tools at lab level

QSAR models for activity prediction of non-peptidic compounds

QSAR models for activity prediction of nonpeptidic compounds

A comprehensive map of cell wall metabolism in selected oomycetes
Cell wall structures of the obligate and non-obligate oomycetes

Cell wall structures of the obligate and nonobligate oomycetesThese data will be necesssary to evaluate the effects of the antimicrobial molecules isolated during NoPEST

Pharmacophore model for virtual screening of compound libraries
NoPest and stakeholders

A schedule with exhibition events to meet stakeholders and farmers

A method for the in vitro culture of P. viticola

A method for the in vitro culture of P viticolaP viticola is an obligate biotrophic pathogen the possibility to grow it in vitro will facilitate all the analysis

Cost-benefit analysis of new pesticides for EU agri-food industry
Report of mapping and VRA of new pesticides in crops - Spain trial

Report of mapping and VRA of new pesticides in crops – Spain trial

Websites, patent fillings, videos etc. (1)

NoPest website

NoPest website, protected workspace and searchable database

Open Research Data Pilot (1)

Data Management Plan

NoPest research will generate electronic files and datasets primarily of two types, text files and structure files. Text files consist of the following: lists of candidate target proteins from pathogens (D1.1, D1.4); linear and cyclic peptide aptamers interacting or not with the 20 most promising oomycete target proteins, together with their biochemical properties (D2.2, D2.3); lists of non-peptide molecules identified by virtual screening (D.4.3); lists of non-peptide small molecules and peptidomimetics, together with the description of their performance in vitro and in vivo, their specificity and toxicity (D7.1, D7.2, D7.3, D7.4); sequence data of genes, proteins and peptides; protocols for the growth of oomycetes in vitro (D1.2), and for in vitro aptamer bioactivity assays (D6.1); protocols and data derived from the test and validation of the various non-invasive sensing technologies under lab and field conditions (D5.1, D5.2, D5.3); formulations of the 3 best molecules (peptidomimetics and non-peptide molecules) to be tested in vivo (D8.1); data on cost-benefit analysis of the NoPest technology (D8.3). All data (text and structural) will be stored at the Work-Package Leader (WPL) organization and at the NoPest website server. Data at the NoPest website will be stored in a searchable database. Multiple tools for building the database are available, including the CACTVS toolkit (www.xemistry.com). This setup will allow for an easy web-based execution of two important tasks: 1) visualization and manipulation of protein/peptides/small molecules structures and 2) text searching and structural searching for the retrieval of textual and structural information. Metadata: In compliance with metadata requirements, a master file will be created by WPLs for each experiment in liaison with the relevant teams. All details will be recorded: project number, personnel involved, date of experiments, contacts, filenames and dates of the protocol document, data and analysis files. Methods and timeframes for data sharing: Publishable datasets will be analysed and published in open-access scientific journals, so the data will become universally available within the papers or their electronic supplementary materials. Data files will be stored by the WPLs and the corresponding author(s) of the papers. • Physical materials (pathogens, plasmids, libraries) will be kept by the corresponding authors of publications and will be distributed to the scientific community upon request. • After publication, each dataset will be publicly available in a downloadable format at the NoPest website

Pubblicazioni

Peer reviewed articles (16)

Biochemical characterization and molecular insights into substrate recognition of pectin methylesterase from Phytophthora infestans

Autori: Rajender Kumar, Sanjiv Kumar, Vincent Bulone, Vaibhav Srivastava
Pubblicato in: Computational and Structural Biotechnology Journal, 2022, ISSN 2001-0370
Editore: Elsevier
DOI: 10.1016/j.csbj.2022.11.003

Image analysis with deep learning for early detection of downy mildew in grapevine

Autori: Inés Hernández, Salvador Gutiérrez, Javier Tardaguila
Pubblicato in: Scientia Horticulturae, Numero 331, 2024, Pagina/e 113155, ISSN 0304-4238
Editore: Elsevier BV
DOI: 10.1016/j.scienta.2024.113155

In-field disease symptom detection and localisation using explainable deep learning: Use case for downy mildew in grapevine

Autori: Inés Hernández, Salvador Gutiérrez, Ignacio Barrio, Rubén Íñiguez, Javier Tardaguila
Pubblicato in: Computers and Electronics in Agriculture, Numero 226, 2024, Pagina/e 109478, ISSN 0168-1699
Editore: Elsevier BV
DOI: 10.1016/j.compag.2024.109478

Genetically encoded libraries and spider venoms as emerging sources for crop protective peptides

Autori: Elena Marone Fassolo, Shaodong Guo, Yachen Wang, Stefano Rosa, Volker Herzig
Pubblicato in: Journal of Peptide Science, Numero 30, 2024, ISSN 1075-2617
Editore: John Wiley & Sons Inc.
DOI: 10.1002/psc.3600

Assessment of downy mildew in grapevine using computer vision and fuzzy logic. Development and validation of a new method

Autori: Inés Hernández, Salvador Gutiérrez, Sara Ceballos, Fernando Palacios, Silvia Laura Toffolatti, Giuliana Maddalena, María Paz Diago, Javier Tardaguila
Pubblicato in: OENO One, 2022, ISSN 2494-1271
Editore: International Viticulture and Enology Society
DOI: 10.20870/oeno-one.2022.56.3.5359

Game-changing alternatives to conventional fungicides: small RNAs and short peptides

Autori: Stefano Rosa, Paolo Pesaresi, Chiara Mizzotti, Vincent Bulone, Bruno Mezzetti, Elena Baraldi, Simona Masiero
Pubblicato in: Trends in Biotechnology, 2021, Pagina/e 1-18, ISSN 0167-7799
Editore: Elsevier BV
DOI: 10.1016/j.tibtech.2021.07.003

The cyclic peptide G4CP2 enables the modulation of galactose metabolism in yeast by interfering with GAL4 transcriptional activity

Autori: Rosa S, Tagliani A, Bertaso C, Tadini L, Visentin C, Gourlay LJ, Pricl S, Feni L, Pellegrino S, Pesaresi P, Masiero S.
Pubblicato in: Frontiers in Molecular Biosciences, 2023, ISSN 2296-889X
Editore: Frontiers Media S.A.
DOI: 10.3389/fmolb.2023.1017757

Identification of Growth Inhibitors of the Fish Pathogen Saprolegnia parasitica Using in silico Subtractive Proteomics, Computational Modeling, and Biochemical Validation.

Autori: Sanjiv Kumar; Rahul Shubhra Mandal; Vincent Bulone; Vincent Bulone; Vaibhav Srivastava
Pubblicato in: Frontiers in Microbiology, Numero 7, 2020, Pagina/e 1-12, ISSN 1664-302X
Editore: Frontiers Media
DOI: 10.3389/fmicb.2020.571093

Artificial Intelligence and Novel Sensing Technologies for Assessing Downy Mildew in Grapevine

Autori: Inés Hernández, Salvador Gutiérrez, Sara Ceballos, Rubén Iñíguez, Ignacio Barrio and Javier Tardaguila
Pubblicato in: Horticulturae, 2021, ISSN 2311-7524
Editore: MDPI
DOI: 10.3390/horticulturae7050103

From glycans to green biotechnology: exploring cell wall dynamics and phytobiota impact in plant glycopathology

Autori: Demetrio Marcianò, Lisa Kappel, Sadia Fida Ullah, Vaibhav Srivastava
Pubblicato in: Critical Reviews in Biotechnology, Numero 45, 2025, Pagina/e 314-332, ISSN 0738-8551
Editore: Taylor & Francis
DOI: 10.1080/07388551.2024.2370341

Synthetic Protein Circuits and Devices Based on Reversible Protein-Protein Interactions: An Overview

Autori: Stefano Rosa, Chiara Bertaso, Paolo Pesaresi, Simona Masiero and Andrea Tagliani
Pubblicato in: Life, 2021, ISSN 2075-1729
Editore: MDPI
DOI: 10.3390/life11111171

Sequence, structure and functionality of pectin methylesterases and their use in sustainable carbohydrate bioproducts: A review

Autori: Rajender Kumar, Gautam Kumar Meghwanshi, Demetrio Marcianò, Sadia Fida Ullah, Vincent Bulone, Silvia Laura Toffolatti, Vaibhav Srivastava
Pubblicato in: International Journal of Biological Macromolecules, Numero 244, 2023, Pagina/e 125385, ISSN 0141-8130
Editore: Elsevier BV
DOI: 10.1016/j.ijbiomac.2023.125385

Game-changing alternatives to conventional fungicides: small RNAs and short peptides

Autori: Stefano Rosa, Paolo Pesaresi, Chiara Mizzotti, Vincent Bulone, Bruno Mezzetti, Elena Baraldi, Simona Masiero
Pubblicato in: Trends in Biotechnology, Numero 40, 2023, Pagina/e 320-337, ISSN 0167-7799
Editore: Elsevier BV
DOI: 10.1016/j.tibtech.2021.07.003

The Dark Side of Fungi: How They Cause Diseases in Plants

Autori: "Marcianò , D.; Mizzotti, C.; Maddalena, G.; Toffolatti, S.L."
Pubblicato in: Crossref, Numero 4, 2021, Pagina/e 1-8, ISSN 2296-6846
Editore: Frontiers Media
DOI: 10.3389/frym.2021.560315

Methods for Fungicide Efficacy Screenings: Multiwell Testing Procedures for the Oomycetes Phytophthora infestans and Pythium ultimum.

Autori: Marcianò Demetrio, Toffolatti Silvia Laura
Pubblicato in: Microorganisms, 2023, ISSN 2076-2607
Editore: MDPI
DOI: 10.3390/microorganisms11020350

Identification of Growth Inhibitors of the Fish Pathogen Saprolegnia parasitica Using in silico Subtractive Proteomics, Computational Modeling, and Biochemical Validation

Autori: Sanjiv Kumar, Rahul Shubhra Mandal, Vincent Bulone, Vaibhav Srivastava
Pubblicato in: Frontiers in Microbiology, Numero 11, 2020, Pagina/e 1-12, ISSN 1664-302X
Editore: Frontiers Media
DOI: 10.3389/fmicb.2020.571093

Non-peer reviewed articles (2)

Editorial: Apoplastic effectors — What roles do they play in plant-pathogen interactions?

Autori: Chen Xiao-Ren, Wang Yonglin, Kale Shiv D., Fang Yufeng, Srivastava Vaibhav
Pubblicato in: Frontiers in Microbiology, 2023, ISSN 1664-302X
Editore: Frontiers Media
DOI: 10.3389/fmicb.2023.1149771

Editorial: Advances in multi-omics study of filamentous plant pathogens

Autori: Shen Danyu, Wang Yan, Chen Xiaoren, Srivastava Vaibhav, Toffolatti Silvia Laura
Pubblicato in: Frontiers in Microbiology, 2022, ISSN 1664-302X
Editore: Frontiers Media
DOI: 10.3389/fmicb.2022.998501

Diritti di proprietà intellettuale

Patent (3)

ANTIMICROBIAL PEPTIDES FOR THE CONTAINMENT OF OOMYCETES IN AGRICULTURE

Numero candidatura/pubblicazione: 20 24080901
Data: 2024-10-31
Candidato/i: UNIVERSITE PARIS-SACLAY

ANTIMICROBIAL PEPTIDES FOR THE CONTAINMENT OF OOMYCETES IN AGRICULTURE

Numero candidatura/pubblicazione: 20 24080901
Data: 2024-10-31
Candidato/i: UNIVERSITA DEGLI STUDI DI MILANO

ANTIMICROBIAL PEPTIDES FOR THE CONTAINMENT OF OOMYCETES IN AGRICULTURE

Numero candidatura/pubblicazione: 20 24080901
Data: 2024-10-31
Candidato/i: KUNGLIGA TEKNISKA HOEGSKOLAN