ServicenavigationHauptnavigationTrailKarteikarten


Research unit
COST
Project number
C12.0099
Project title
Diagnostic and epidemiological tools for cherry pathogenic bacteria based on genomics, MALDI-TOF mass spectrometry and LAMP

Texts for this project

 GermanFrenchItalianEnglish
Key words
-
-
-
Anzeigen
Research programs
-
-
-
Anzeigen
Short description
-
-
-
Anzeigen
Further information
-
-
-
Anzeigen
Partners and International Organizations
-
-
-
Anzeigen
Abstract
-
-
-
Anzeigen
References in databases
-
-
-
Anzeigen

Inserted texts


CategoryText
Key words
(English)
Pseudomonas syringae; Agrobacterium; Xanthomonas arboricola; phylogenetics; phyloproteomics; genomics; crop protection; phytosanitary regulation
Research programs
(English)
COST-Action FA1104 - Sustainable production of high-quality cherries for the European market
Short description
(English)
Bacteria are causing significant damages to cherry production. Diagnosis is based on phenotypic characterization, including pathogenicity tests on plants. This project aims to deliver implementable tools for phytosanitary agents, and also to gain deeper understanding of cherry pathogen genetics and diversity. This project will develop MALDI-TOF MS technology as a rapid alternative/compliment to existing methods for identification and clustering analysis of bacterial cherry pathogens. By establishing the first complete genome sequences of these pathogens, this project will also fill in an important genetic gap with insights on population ecology, virulence genetics and evolution. This will allow to link phyloproteomics and phylogenomics data but also design genomics informed assays for rapid, easy and on field diagnostics in order to prevent spreading/introduction of these pathogens. Training activities will be conducted throughout this project to ease MALDI-TOF MS and LAMP technology transfer and several results transferred to industry partners. This project offers a significant boost towards rapid identification and understanding of bacterial cherry pathogens. It will generate collaborative research activity around identification, genomics, comparative genomics and phytosanitary aspects and will federate several European scientists, culture collections, phytosanitary agencies and industry partners.
Further information
(English)
Full name of research-institution/enterprise: ZHAW - Institute of Natural Resource Sciences Head of Environmental Genomics + Systems Biol.Research Group Life Sciences + Facility Management Dep.
Partners and International Organizations
(English)
AT; BE; BA; BG; HR; CY; DK; DE; EL; HU; IL; IT; LV; LT; NL; NO; PL; PT; RO; RS; SI; ES; SE; CH; MK; TR; UK
Abstract
(English)
Bacteria are causing significant damages to cherry production. Diagnosis is based on phenotypic characterization, including pathogenicity tests on plants. This project aimed to deliver implementable tools for phytosanitary agents, and also to gain deeper understanding of cherry pathogen genetics and diversity. This project developed MALDI-TOF MS technology as a rapid alternative/complement to existing methods for identification and clustering analysis of bacterial cherry pathogens. By establishing the first complete genome sequences of these pathogens, this project did fill in an important genetic gap with insights on population ecology, virulence genetics and evolution. This allowed to link phyloproteomics and phylogenomics data but also to design several genomics informed assays for rapid, easy and on field diagnostics in order to prevent spreading/introduction of these pathogens. Training activities were conducted throughout this project to ease MALDI-TOF MS and LAMP technology transfer and several results were transferred to industry partners. This project offered a significant boost towards rapid identification and understanding of bacterial cherry pathogens. It has generated collaborative research activities around identification, genomics, comparative genomics and phytosanitary aspects and did federate some European scientists, culture collections, phytosanitary agencies and industry partners.
References in databases
(English)
Swiss Database: COST-DB of the State Secretariat for Education and Research Hallwylstrasse 4 CH-3003 Berne, Switzerland Tel. +41 31 322 74 82 Swiss Project-Number: C12.0099