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dc.contributor.authorKhomich, Maryia
dc.contributor.authorCox, Filipa
dc.contributor.authorAndrew, Carrie Joy
dc.contributor.authorAndersen, Tom
dc.contributor.authorKauserud, Håvard
dc.contributor.authorDavey, Marie Louise
dc.date.accessioned2019-03-14T14:24:34Z
dc.date.available2019-03-14T14:24:34Z
dc.date.created2018-11-13T17:28:47Z
dc.date.issued2018-09-22
dc.identifier.citationFungal ecology. 2018, 36 75-80.nb_NO
dc.identifier.issn1754-5048
dc.identifier.urihttp://hdl.handle.net/11250/2590109
dc.description.abstractInsufficient reference database coverage is a widely recognized limitation of molecular ecology ap-proaches which are reliant on database matches for assignment of function or identity. Here, we use datafrom 65 amplicon high-throughput sequencing (HTS) datasets targeting the internal transcribed spacer(ITS) region of fungal rDNA to identify substrates and geographic areas whose underrepresentation in theavailable reference databases could have meaningful impact on our ability to draw ecological conclu-sions. A total of 14 different substrates were investigated. Database representation was particularly poorfor the fungal communities found in aquatic (freshwater and marine) and soil ecosystems. Aquaticecosystems are identified as priority targets for the recovery of novel fungal lineages. A subset of the datarepresenting soil samples with global distribution were used to identify geographic locations andterrestrial biomes with poor database representation. Database coverage was especially poor in tropical,subtropical, and Antarctic latitudes, and the Amazon, Southeast Asia, Australasia, and the Indian sub-continent are identified as priority areas for improving database coverage in fungi.nb_NO
dc.description.abstractComing up short: Identifying substrate and geographic biases in fungal sequence databasesnb_NO
dc.language.isoengnb_NO
dc.subjectFunginb_NO
dc.subjectMycobiomenb_NO
dc.subjectITS regionnb_NO
dc.subjectGenBanknb_NO
dc.subjectUNITEnb_NO
dc.subjectRDP Bayesian classifiernb_NO
dc.subjectDiversitynb_NO
dc.subjectMetabarcodingnb_NO
dc.subjectSubstratenb_NO
dc.titleComing up short: Identifying substrate and geographic biases in fungal sequence databasesnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionacceptedVersionnb_NO
dc.rights.holder©2018 Elsevier Ltd and British Mycological Society. All rights reservednb_NO
dc.subject.nsiVDP::Landbruks- og Fiskerifag: 900nb_NO
dc.source.pagenumber75-80nb_NO
dc.source.volume36nb_NO
dc.source.journalFungal ecologynb_NO
dc.identifier.doi10.1016/j.funeco.2018.08.002
dc.identifier.cristin1630149
dc.relation.projectNorges forskningsråd: 196336nb_NO
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode1


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