Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Metabarcoding: A powerful tool to investigate microbial communities and shape future plant protection strategies
Univ Mediterranea Reggio Calabria, Italy.
Linköping University, Department of Physics, Chemistry and Biology, Biology. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0002-0811-1229
USDA ARS, WV 25430 USA.
Univ Catania, Italy.
Show others and affiliations
2018 (English)In: Biological control (Print), ISSN 1049-9644, E-ISSN 1090-2112, Vol. 120Article in journal (Refereed) Published
Abstract [en]

Microorganisms are the main drivers shaping the functioning and equilibrium of all ecosystems, contributing to nutrient cycling, primary production, litter decomposition, and multi-trophic interactions. Knowledge about the microbial assemblies in specific ecological niches is integral to understanding the assemblages interact and function the function, and becomes essential when the microbiota intersects with human activities, such as protecting crops against pests and diseases. Metabarcoding has proven to be a valuable tool and has been widely used for characterizing the microbial diversity of different environments and has been utilized in many research endeavors. Here we summarize the current status of metabarcoding technologies, the advantages and challenges in utilizing this technique, and how this pioneer approach is being applied to studying plant diseases and pests, with a focus on plant protection and biological control. Current and future developments in this technology will foster a more comprehensive understanding of microbial ecology, and the development of new, innovative pest control strategies.

Place, publisher, year, edition, pages
ACADEMIC PRESS INC ELSEVIER SCIENCE , 2018. Vol. 120
Keywords [en]
High throughput sequencing; Marker gene; Biological control; Bioinformatics; Plant pathology
National Category
Ecology
Identifiers
URN: urn:nbn:se:liu:diva-147075DOI: 10.1016/j.biocontrol.2017.07.009ISI: 000428084400001OAI: oai:DiVA.org:liu-147075DiVA, id: diva2:1199730
Note

Funding Agencies|Italian Ministry of Education, University and Research (MIUR) [PON03PE_00090_01, PON03PE_00090_02]

Available from: 2018-04-22 Created: 2018-04-22 Last updated: 2018-04-26

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full text

Search in DiVA

By author/editor
Malacrinò, Antonino
By organisation
BiologyFaculty of Science & Engineering
In the same journal
Biological control (Print)
Ecology

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 400 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf