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dc.contributor.authorVepštaitė-Monstavičė, Iglė
dc.contributor.authorLukša, Juliana
dc.contributor.authorStanevičienė, Ramunė
dc.contributor.authorStrazdaitė Žielienė, Živilė
dc.contributor.authorYurchenko, Vyacheslav
dc.contributor.authorServa, Saulius
dc.contributor.authorServienė, Elena
dc.date.accessioned2023-09-18T17:06:39Z
dc.date.available2023-09-18T17:06:39Z
dc.date.issued2018
dc.identifier.issn0944-5013
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/119731
dc.description.abstractThe microbial assemblies on the surface of plants correlate with specific climatic features, suggesting a direct link between environmental conditions and microbial inhabitation patterns. At the same time however, microbial communities demonstrate distinct profiles depending on the plant species and region of origin. In this study, we report Next generation Sequencing-based metagenomic analysis of microbial communities associated with apple and blackcurrant fruits harvested from Lithuania and the Czech Republic. Differences in the taxonomic composition of eukaryotic and prokaryotic microorganisms were observed between plant types. Our results revealed limited geographic differentiation between the bacterial and fungal communities associated with apples. In contrast, blackcurrant berries harvested from different regions demonstrated high diversity in both bacterial and fungal microbiota structures. Among fungal and bacterial microorganisms, we identified both potentially beneficial (Cryptococcus, Hanseniaspora, Massilia, (Rhodotorula, Sphingomonas) and phytopathogenic microorganisms (Cladosporium, Pantoea, Phoma, Pseudomonas, Septoria, Taphrina ) indicating their important roles in ecological and evolutionary processes.eng
dc.formatPDF
dc.format.extentp. 1-8
dc.format.mediumtekstas / txt
dc.language.isoeng
dc.relation.isreferencedbySciSearch
dc.relation.isreferencedbyMEDLINE
dc.relation.isreferencedbyCAB Abstracts
dc.relation.isreferencedbyChemical abstracts
dc.relation.isreferencedbyScopus
dc.relation.isreferencedbyScience Citation Index Expanded (Web of Science)
dc.source.urihttp://dx.doi.org/10.1016/j.micres.2017.09.004
dc.subjectFM01 - Biokatalitinių procesų modeliavimas / Modelling of biocatalytic processes
dc.titleDistribution of apple and blackcurrant microbiota in Lithuania and the Czech Republic
dc.typeStraipsnis Web of Science DB / Article in Web of Science DB
dcterms.references51
dc.type.pubtypeS1 - Straipsnis Web of Science DB / Web of Science DB article
dc.contributor.institutionGamtos tyrimų centras
dc.contributor.institutionUniversity of Ostrav Czech Academy of Sciences
dc.contributor.institutionVilniaus Gedimino technikos universitetas Vilniaus universitetas
dc.contributor.institutionVilniaus Gedimino technikos universitetas Gamtos tyrimų centras
dc.contributor.facultyFundamentinių mokslų fakultetas / Faculty of Fundamental Sciences
dc.subject.researchfieldN 010 - Biologija / Biology
dc.subject.researchfieldT 005 - Chemijos inžinerija / Chemical engineering
dc.subject.ltspecializationsL101 - Agroinovacijos ir maisto technologijos / Agro-innovation and food technologies
dc.subject.enMetagenomic analysis
dc.subject.enMicrobiota
dc.subject.enApple
dc.subject.enBlackcurrant
dcterms.sourcetitleMicrobiological research
dc.description.volumeVol. 206
dc.publisher.nameElsevier GmbH, Urban und Fischer Verlag
dc.publisher.cityJena
dc.identifier.doi000423013700001
dc.identifier.doi2-s2.0-85029512595
dc.identifier.doi10.1016/j.micres.2017.09.004
dc.identifier.elaba26437214


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