Metagenomics Approaches for the Detection and Surveillance of Emerging and Recurrent Plant Pathogens
dc.contributor.author | Piombo, Edoardo | en |
dc.contributor.author | Abdelfattah, Ahmed | en |
dc.contributor.author | Droby, Samir | en |
dc.contributor.author | Wisniewski, Michael | en |
dc.contributor.author | Spadaro, Davide | en |
dc.contributor.author | Schena, Leonardo | en |
dc.contributor.department | Biological Sciences | en |
dc.date.accessioned | 2021-06-11T15:14:53Z | en |
dc.date.available | 2021-06-11T15:14:53Z | en |
dc.date.issued | 2021-01 | en |
dc.description.abstract | Globalization has a dramatic effect on the trade and movement of seeds, fruits and vegetables, with a corresponding increase in economic losses caused by the introduction of transboundary plant pathogens. Current diagnostic techniques provide a useful and precise tool to enact surveillance protocols regarding specific organisms, but this approach is strictly targeted, while metabarcoding and shotgun metagenomics could be used to simultaneously detect all known pathogens and potentially new ones. This review aims to present the current status of high-throughput sequencing (HTS) diagnostics of fungal and bacterial plant pathogens, discuss the challenges that need to be addressed, and provide direction for the development of methods for the detection of a restricted number of related taxa (specific surveillance) or all of the microorganisms present in a sample (general surveillance). HTS techniques, particularly metabarcoding, could be useful for the surveillance of soilborne, seedborne and airborne pathogens, as well as for identifying new pathogens and determining the origin of outbreaks. Metabarcoding and shotgun metagenomics still suffer from low precision, but this issue can be limited by carefully choosing primers and bioinformatic algorithms. Advances in bioinformatics will greatly accelerate the use of metagenomics to address critical aspects related to the detection and surveillance of plant pathogens in plant material and foodstuffs. | en |
dc.description.notes | The Authors wish to thank the European Institute of Innovation and Technology for funding the project "CLEANFRUIT-Standardization of innovative pest control strategies to produce zero residue fruit for baby food and other fruit produce" (EITFood initiative), the Italian Ministry for Education, University and Research for funding the project "A gnotobiotic-based approach to unravel the role of the plant microbiome and develop synthetic communities increasing plant growth and stress tolerance-NATURE" (PRIN2017 programme) and Fondazione Cassa di Risparmio di Cuneo for funding the project, "SMART APPLE-Innovative and SMART technologies for sustainable APPLE production". | en |
dc.description.sponsorship | European Institute of Innovation and Technology; Italian Ministry for Education, University and ResearchMinistry of Education, Universities and Research (MIUR); Fondazione Cassa di Risparmio di Cuneo | en |
dc.description.version | Published version | en |
dc.format.mimetype | application/pdf | en |
dc.identifier.doi | https://doi.org/10.3390/microorganisms9010188 | en |
dc.identifier.eissn | 2076-2607 | en |
dc.identifier.issue | 1 | en |
dc.identifier.other | 188 | en |
dc.identifier.pmid | 33467169 | en |
dc.identifier.uri | http://hdl.handle.net/10919/103786 | en |
dc.identifier.volume | 9 | en |
dc.language.iso | en | en |
dc.rights | Creative Commons Attribution 4.0 International | en |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | en |
dc.subject | surveillance | en |
dc.subject | plant pathogens | en |
dc.subject | metabarcoding | en |
dc.subject | metagenomics | en |
dc.subject | detection | en |
dc.title | Metagenomics Approaches for the Detection and Surveillance of Emerging and Recurrent Plant Pathogens | en |
dc.title.serial | Microorganisms | en |
dc.type | Article - Refereed | en |
dc.type.dcmitype | Text | en |
dc.type.dcmitype | StillImage | en |
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