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Title:High-throughput sequencing in forest health surveillance : opportunities and challenges
Authors:ID Devetak, Zina (Author)
ID Piškur, Barbara (Author)
Files:.pdf PDF - Presentation file, download (1,86 MB)
MD5: 4C076BA0762059B5A76461DEAF543E4E
 
Language:Slovenian
Typology:1.01 - Original Scientific Article
Organization:Logo SciVie - Slovenian Forestry Institute
Abstract:Redna fitosanitarna kontrola na mejah ter programi preiskav postajajo čedalje pomembnejši pri detekciji novih škodljivcev in povzročiteljev bolezni drevja. Kot eno izmed orodij za podporo vizualnim pregledom, morfološkim metodam identifikacije in tarčnim molekularnim metodam je tudi visokozmogljivo sekvenciranje. Uporablja se lahko na različnih tipih vzorcev ter omogoča simultano iskanje različnih taksonomskih skupin ter analizo velikega števila vzorcev hkrati. Visokozmogljivo sekvenciranje zahteva številne zaporedne korake, tako priprave na sekvenciranje kot bioinformacijsko zahtevne analize rezultatov. Koraki morajo biti optimizirani in skrbno dokumentirani, da lahko zmanjšamo in nadzorujemo vpliv, ki ga imajo na rezultat analize. Rezultate je prav tako treba skrbno tolmačiti ter v primeru detekcije vrste, ki ima karantenski značaj, tudi potrditi z alternativno metodo. V članku razpravljamo o uporabnosti visokozmogljivega sekvenciranja v okviru varovanja gozdov ter premišljujemo o različnih vrstah vzorcev, tehničnih vidikih ter možni sinergiji z že uveljavljenimi metodami.
Keywords:zdravje gozda, meta analiza črtnih kod, škodljivci, glive povzročiteljice bolezni, visokozmogljivo sekvenciranje
Publication status:Published
Publication version:Version of Record
Publication date:19.06.2026
Year of publishing:2026
Number of pages:str. 49-62
Numbering:Vol. 139
PID:20.500.12556/DiRROS-30319 New window
UDC:630*41(045)=111
ISSN on article:2335-3112
DOI:10.20315/ASetL.139.4 New window
COBISS.SI-ID:282263043 New window
Publication date in DiRROS:19.06.2026
Views:36
Downloads:11
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Record is a part of a journal

Title:Acta Silvae et Ligni
Publisher:Gozdarski inštitut Slovenije, založba Silva Slovenica, Biotehniška fakulteta, Oddelek za gozdarstvo in obnovljive gozdne vire, Biotehniška fakulteta, Oddelek za lesarstvo
ISSN:2335-3112
COBISS.SI-ID:266761216 New window

Document is financed by a project

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:P4-0107-2020
Name:Gozdna biologija, ekologija in tehnologija
Funder:Other - Other funder or multiple funders
Project number:UVHVVR
Name:Uprava za varno hrano, veterinarstvo in varstvo rastlin
Acronym:UVHVVR

Licences

License:CC BY-SA 4.0, Creative Commons Attribution-ShareAlike 4.0 International
Link:http://creativecommons.org/licenses/by-sa/4.0/
Description:This Creative Commons license is very similar to the regular Attribution license, but requires the release of all derivative works under this same license.

Secondary language

Language:English
Title:Visokozmogljivo sekvenciranje pri spremljanju zdravja gozdov : priložnosti in izzivi
Abstract:Regular phytosanitary border control and local surveillance are increasingly important for the early detection of novel plant pests and pathogens. High-throughput sequencing (HTS) is a promising tool that can complement visual inspections, morphological identification and targeted molecular tests. HTS can be applied to a wide array of sample matrices, enabling the analysis of bulk samples while simultaneously targeting multiple taxa. The workflow includes multiple preparation steps and extensive post-sequencing bioinformatic analyses. It needs to be optimised and carefully documented to minimise and control the various biases introduced at each step. The results should be carefully interpreted and, if a species of concern is detected, it currently still needs to be confirmed by an independent method. In this article, we discuss the usefulness of HTS in the context of forest protection, considering different sample types, technical considerations and potential synergies with established methods.
Keywords:orest health, metabarcoding, pests, fungal pathogens, high-throughput sequencing


Collection

This document is a part of these collections:
  1. Acta Silvae et Ligni

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