Full‐length 16S rRNA gene classification of Atlantic salmon bacteria and effects of using different 16S variable regions on community structure analysis

Abstract Understanding 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 w...

Full description

Bibliographic Details
Published in:MicrobiologyOpen
Main Authors: Terje Klemetsen, Nils Peder Willassen, Christian René Karlsen
Format: Article in Journal/Newspaper
Language:English
Published: Wiley 2019
Subjects:
Online Access:https://doi.org/10.1002/mbo3.898
https://doaj.org/article/c6a27fbde1ec423ba8d12bcb2c475a45
id ftdoajarticles:oai:doaj.org/article:c6a27fbde1ec423ba8d12bcb2c475a45
record_format openpolar
spelling ftdoajarticles:oai:doaj.org/article:c6a27fbde1ec423ba8d12bcb2c475a45 2023-05-15T15:30:44+02:00 Full‐length 16S rRNA gene classification of Atlantic salmon bacteria and effects of using different 16S variable regions on community structure analysis Terje Klemetsen Nils Peder Willassen Christian René Karlsen 2019-10-01T00:00:00Z https://doi.org/10.1002/mbo3.898 https://doaj.org/article/c6a27fbde1ec423ba8d12bcb2c475a45 EN eng Wiley https://doi.org/10.1002/mbo3.898 https://doaj.org/toc/2045-8827 2045-8827 doi:10.1002/mbo3.898 https://doaj.org/article/c6a27fbde1ec423ba8d12bcb2c475a45 MicrobiologyOpen, Vol 8, Iss 10, Pp n/a-n/a (2019) Atlantic salmon Full‐length 16S rRNA gene sequence microbiota Microbiology QR1-502 article 2019 ftdoajarticles https://doi.org/10.1002/mbo3.898 2022-12-31T12:19:06Z Abstract Understanding 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. Article in Journal/Newspaper Atlantic salmon Directory of Open Access Journals: DOAJ Articles MicrobiologyOpen 8 10
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic Atlantic salmon
Full‐length 16S rRNA gene sequence
microbiota
Microbiology
QR1-502
spellingShingle Atlantic salmon
Full‐length 16S rRNA gene sequence
microbiota
Microbiology
QR1-502
Terje Klemetsen
Nils Peder Willassen
Christian René Karlsen
Full‐length 16S rRNA gene classification of Atlantic salmon bacteria and effects of using different 16S variable regions on community structure analysis
topic_facet Atlantic salmon
Full‐length 16S rRNA gene sequence
microbiota
Microbiology
QR1-502
description Abstract Understanding 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.
format Article in Journal/Newspaper
author Terje Klemetsen
Nils Peder Willassen
Christian René Karlsen
author_facet Terje Klemetsen
Nils Peder Willassen
Christian René Karlsen
author_sort Terje Klemetsen
title Full‐length 16S rRNA gene classification of Atlantic salmon bacteria and effects of using different 16S variable regions on community structure analysis
title_short Full‐length 16S rRNA gene classification of Atlantic salmon bacteria and effects of using different 16S variable regions on community structure analysis
title_full Full‐length 16S rRNA gene classification of Atlantic salmon bacteria and effects of using different 16S variable regions on community structure analysis
title_fullStr Full‐length 16S rRNA gene classification of Atlantic salmon bacteria and effects of using different 16S variable regions on community structure analysis
title_full_unstemmed Full‐length 16S rRNA gene classification of Atlantic salmon bacteria and effects of using different 16S variable regions on community structure analysis
title_sort full‐length 16s rrna gene classification of atlantic salmon bacteria and effects of using different 16s variable regions on community structure analysis
publisher Wiley
publishDate 2019
url https://doi.org/10.1002/mbo3.898
https://doaj.org/article/c6a27fbde1ec423ba8d12bcb2c475a45
genre Atlantic salmon
genre_facet Atlantic salmon
op_source MicrobiologyOpen, Vol 8, Iss 10, Pp n/a-n/a (2019)
op_relation https://doi.org/10.1002/mbo3.898
https://doaj.org/toc/2045-8827
2045-8827
doi:10.1002/mbo3.898
https://doaj.org/article/c6a27fbde1ec423ba8d12bcb2c475a45
op_doi https://doi.org/10.1002/mbo3.898
container_title MicrobiologyOpen
container_volume 8
container_issue 10
_version_ 1766361193705897984