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...
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crwiley:10.1002/mbo3.898 2024-10-20T14:07:42+00:00 Full‐length 16S rRNA gene classification of Atlantic salmon bacteria and effects of using different 16S variable regions on community structure analysis Klemetsen, Terje Willassen, Nils Peder Karlsen, Christian René Norges Forskningsråd Norges Forskningsråd Universitetet i Tromsø 2019 http://dx.doi.org/10.1002/mbo3.898 https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fmbo3.898 https://onlinelibrary.wiley.com/doi/pdf/10.1002/mbo3.898 https://onlinelibrary.wiley.com/doi/full-xml/10.1002/mbo3.898 en eng Wiley http://creativecommons.org/licenses/by/4.0/ MicrobiologyOpen volume 8, issue 10 ISSN 2045-8827 2045-8827 journal-article 2019 crwiley https://doi.org/10.1002/mbo3.898 2024-09-23T04:35:35Z 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 Wiley Online Library MicrobiologyOpen 8 10 |
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Wiley Online Library |
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crwiley |
language |
English |
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. |
author2 |
Norges Forskningsråd Norges Forskningsråd Universitetet i Tromsø |
format |
Article in Journal/Newspaper |
author |
Klemetsen, Terje Willassen, Nils Peder Karlsen, Christian René |
spellingShingle |
Klemetsen, Terje Willassen, Nils Peder Karlsen, Christian René Full‐length 16S rRNA gene classification of Atlantic salmon bacteria and effects of using different 16S variable regions on community structure analysis |
author_facet |
Klemetsen, Terje Willassen, Nils Peder Karlsen, Christian René |
author_sort |
Klemetsen, Terje |
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 |
http://dx.doi.org/10.1002/mbo3.898 https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fmbo3.898 https://onlinelibrary.wiley.com/doi/pdf/10.1002/mbo3.898 https://onlinelibrary.wiley.com/doi/full-xml/10.1002/mbo3.898 |
genre |
Atlantic salmon |
genre_facet |
Atlantic salmon |
op_source |
MicrobiologyOpen volume 8, issue 10 ISSN 2045-8827 2045-8827 |
op_rights |
http://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.1002/mbo3.898 |
container_title |
MicrobiologyOpen |
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8 |
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10 |
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1813446631451787264 |