Vis enkel innførsel

dc.contributor.authorKlemetsen, Terje
dc.contributor.authorWillassen, Nils Peder
dc.contributor.authorKarlsen, Christian René
dc.date.accessioned2019-08-19T13:21:47Z
dc.date.available2019-08-19T13:21:47Z
dc.date.issued2019-07-04
dc.description.abstractUnderstanding fish‐microbial relationships may be of great value for fish producers as fish growth, development and welfare are influenced by the microbial community associated with the rearing systems and fish surfaces. Accurate methods to generate and analyze these microbial communities would be an important tool to help improve understanding of microbial effects in the industry. In this study, we performed taxonomic classification and determination of operational taxonomic units on Atlantic salmon microbiota by taking advantage of full‐length 16S rRNA gene sequences. Skin mucus was dominated by the genera Flavobacterium and Psychrobacter. Intestinal samples were dominated by the genera Carnobacterium, Aeromonas, Mycoplasma and by sequences assigned to the order Clostridiales. Applying Sanger sequencing on the full‐length bacterial 16S rRNA gene from the pool of 46 isolates obtained in this study showed a clear assignment of the PacBio full‐length bacterial 16S rRNA gene sequences down to the genus level. One of the bottlenecks in comparing microbial profiles is that different studies use different 16S rRNA gene regions. Comparisons of sequence assignments between full‐length and in silico derived variable 16S rRNA gene regions showed different microbial profiles with variable effects between phylogenetic groups and taxonomic ranks.en_US
dc.description.sponsorshipUiT The Arctic University of Norway UiT The Arctic University of Norway, the publication funden_US
dc.identifier.citationKlemetsen, T., Willassen, N.P. & Karlsen, C.R. (2019). Full‐length 16S rRNA gene classification of Atlantic salmon bacteria and effects of using different 16S variable regions on community structure analysis. <i>MicrobiologyOpen</i>, e898. https://doi.org/10.1002/mbo3.898en_US
dc.identifier.cristinIDFRIDAID 1714840
dc.identifier.doi10.1002/mbo3.898
dc.identifier.issn2045-8827
dc.identifier.urihttps://hdl.handle.net/10037/15948
dc.language.isoengen_US
dc.publisherWiley Open Accessen_US
dc.relation.isbasedonThe datasets generated and analyzed in this study are available in the BioProject repository at <a href=https://www.ncbi.nlm.nih.gov/bioproject/PRJEB28410>https://www.ncbi.nlm.nih.gov/bioproject/PRJEB28410. </a>en_US
dc.relation.ispartofKlemetsen, T. (2021). Developing the MAR databases – Augmenting Genomic Versatility of Sequenced Marine Microbiota. (Doctoral thesis). <a href=https://hdl.handle.net/10037/23232>https://hdl.handle.net/10037/23232 </a>.
dc.relation.journalMicrobiologyOpen
dc.relation.projectIDinfo:eu-repo/grantAgreement/RCN/RBGRUNPRIM/194050/Norway/Grunnbevilgning Nofima AS//en_US
dc.rights.accessRightsopenAccessen_US
dc.subjectVDP::Mathematics and natural science: 400::Chemistry: 440en_US
dc.subjectVDP::Matematikk og Naturvitenskap: 400::Kjemi: 440en_US
dc.subjectAtlantic salmonen_US
dc.subjectFull‐length 16S rRNA gene sequenceen_US
dc.subjectmicrobioten_US
dc.titleFull‐length 16S rRNA gene classification of Atlantic salmon bacteria and effects of using different 16S variable regions on community structure analysisen_US
dc.typeJournal articleen_US
dc.typeTidsskriftartikkelen_US
dc.typePeer revieweden_US


Tilhørende fil(er)

Thumbnail

Denne innførselen finnes i følgende samling(er)

Vis enkel innførsel