<?xml version="1.0"?><rdf:RDF xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:edm="http://www.europeana.eu/schemas/edm/" xmlns:wgs84_pos="http://www.w3.org/2003/01/geo/wgs84_pos" xmlns:foaf="http://xmlns.com/foaf/0.1/" xmlns:rdaGr2="http://rdvocab.info/ElementsGr2" xmlns:oai="http://www.openarchives.org/OAI/2.0/" xmlns:owl="http://www.w3.org/2002/07/owl#" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:ore="http://www.openarchives.org/ore/terms/" xmlns:skos="http://www.w3.org/2004/02/skos/core#" xmlns:dcterms="http://purl.org/dc/terms/"><edm:WebResource rdf:about="http://www.dlib.si/stream/URN:NBN:SI:doc-JW184NAS/b74ec3e0-3082-4b0c-898e-409fcab9037f/PDF"><dcterms:extent>1913 KB</dcterms:extent></edm:WebResource><edm:WebResource rdf:about="http://www.dlib.si/stream/URN:NBN:SI:doc-JW184NAS/93a0b881-00b0-4e11-ab57-9af09cf71213/TEXT"><dcterms:extent>0 KB</dcterms:extent></edm:WebResource><edm:ProvidedCHO rdf:about="URN:NBN:SI:doc-JW184NAS"><dcterms:issued>2026</dcterms:issued><dc:creator>Devetak, Zina</dc:creator><dc:creator>Piškur, Barbara</dc:creator><dc:format xml:lang="sl">številka:139</dc:format><dc:format xml:lang="sl">str. 49-62</dc:format><dc:identifier>DOI:10.20315/ASetL.139.4</dc:identifier><dc:identifier>ISSN:2335-3112</dc:identifier><dc:identifier>COBISSID_HOST:282263043</dc:identifier><dc:identifier>URN:URN:NBN:SI:doc-JW184NAS</dc:identifier><dc:language>sl</dc:language><dc:publisher xml:lang="sl">Biotehniška fakulteta, Oddelek za gozdarstvo in obnovljive gozdne vire</dc:publisher><dc:publisher xml:lang="sl">Biotehniška fakulteta, Oddelek za lesarstvo</dc:publisher><dc:publisher xml:lang="sl">Gozdarski inštitut Slovenije, založba Silva Slovenica</dc:publisher><dc:source xml:lang="sl">Acta silvae et ligni</dc:source><dc:subject xml:lang="en">fungal pathogens</dc:subject><dc:subject xml:lang="sl">glive povzročiteljice bolezni</dc:subject><dc:subject xml:lang="en">high-throughput sequencing</dc:subject><dc:subject xml:lang="sl">meta analiza črtnih kod</dc:subject><dc:subject xml:lang="en">metabarcoding</dc:subject><dc:subject xml:lang="en">orest health</dc:subject><dc:subject xml:lang="en">pests</dc:subject><dc:subject xml:lang="sl">škodljivci</dc:subject><dc:subject xml:lang="sl">visokozmogljivo sekvenciranje</dc:subject><dc:subject xml:lang="sl">zdravje gozda</dc:subject><dc:title xml:lang="sl">High-throughput sequencing in forest health surveillance| opportunities and challenges| Visokozmogljivo sekvenciranje pri spremljanju zdravja gozdov| priložnosti in izzivi|</dc:title><dc:description xml:lang="sl">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</dc:description><dc:description xml:lang="sl">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</dc:description><edm:type>TEXT</edm:type><dc:type xml:lang="sl">znanstveno časopisje</dc:type><dc:type xml:lang="en">journals</dc:type><dc:type rdf:resource="http://www.wikidata.org/entity/Q361785" /></edm:ProvidedCHO><ore:Aggregation rdf:about="http://www.dlib.si/?URN=URN:NBN:SI:doc-JW184NAS"><edm:aggregatedCHO rdf:resource="URN:NBN:SI:doc-JW184NAS" /><edm:isShownBy rdf:resource="http://www.dlib.si/stream/URN:NBN:SI:doc-JW184NAS/b74ec3e0-3082-4b0c-898e-409fcab9037f/PDF" /><edm:rights rdf:resource="http://creativecommons.org/licenses/by-sa/4.0/" /><edm:provider>Slovenian National E-content Aggregator</edm:provider><edm:intermediateProvider xml:lang="en">National and University Library of Slovenia</edm:intermediateProvider><edm:dataProvider xml:lang="sl">Gozdarski inštitut Slovenije</edm:dataProvider><edm:object rdf:resource="http://www.dlib.si/streamdb/URN:NBN:SI:doc-JW184NAS/maxi/edm" /><edm:isShownAt rdf:resource="http://www.dlib.si/details/URN:NBN:SI:doc-JW184NAS" /></ore:Aggregation></rdf:RDF>