Transcriptomic landscape of Atlantic salmon ( Salmo salar L.) skin
Abstract In this study, we present the first spatial transcriptomic atlas of Atlantic salmon skin using the Visium Spatial Gene Expression protocol. We utilized frozen skin tissue from 4 distinct sites, namely the operculum, pectoral and caudal fins, and scaly skin at the flank of the fish close to...
Published in: | G3: Genes, Genomes, Genetics |
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Oxford University Press (OUP)
2023
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Online Access: | http://dx.doi.org/10.1093/g3journal/jkad215 https://academic.oup.com/g3journal/advance-article-pdf/doi/10.1093/g3journal/jkad215/51927828/jkad215.pdf https://academic.oup.com/g3journal/article-pdf/13/11/jkad215/56715358/jkad215.pdf |
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croxfordunivpr:10.1093/g3journal/jkad215 2024-09-15T17:56:03+00:00 Transcriptomic landscape of Atlantic salmon ( Salmo salar L.) skin Sveen, Lene R Robinson, Nicholas Krasnov, Aleksei Daniels, Rose Ruiz Vaadal, Marianne Karlsen, Christian Ytteborg, Elisabeth Robledo, Diego Salisbury, Sarah Dagnachew, Binyam Lazado, Carlo C Tengs, Torstein Yáñez, J Norwegian Seafood Research Fund Genomics4Robust Norwegian Research Council 2023 http://dx.doi.org/10.1093/g3journal/jkad215 https://academic.oup.com/g3journal/advance-article-pdf/doi/10.1093/g3journal/jkad215/51927828/jkad215.pdf https://academic.oup.com/g3journal/article-pdf/13/11/jkad215/56715358/jkad215.pdf en eng Oxford University Press (OUP) https://creativecommons.org/licenses/by/4.0/ G3: Genes, Genomes, Genetics volume 13, issue 11 ISSN 2160-1836 journal-article 2023 croxfordunivpr https://doi.org/10.1093/g3journal/jkad215 2024-08-12T04:23:43Z Abstract In this study, we present the first spatial transcriptomic atlas of Atlantic salmon skin using the Visium Spatial Gene Expression protocol. We utilized frozen skin tissue from 4 distinct sites, namely the operculum, pectoral and caudal fins, and scaly skin at the flank of the fish close to the lateral line, obtained from 2 Atlantic salmon (150 g). High-quality frozen tissue sections were obtained by embedding tissue in optimal cutting temperature media prior to freezing and sectioning. Further, we generated libraries and spatial transcriptomic maps, achieving a minimum of 80 million reads per sample with mapping efficiencies ranging from 79.3 to 89.4%. Our analysis revealed the detection of over 80,000 transcripts and nearly 30,000 genes in each sample. Among the tissue types observed in the skin, the epithelial tissues exhibited the highest number of transcripts (unique molecular identifier counts), followed by muscle tissue, loose and fibrous connective tissue, and bone. Notably, the widest nodes in the transcriptome network were shared among the epithelial clusters, while dermal tissues showed less consistency, which is likely attributable to the presence of multiple cell types at different body locations. Additionally, we identified collagen type 1 as the most prominent gene family in the skin, while keratins were found to be abundant in the epithelial tissue. Furthermore, we successfully identified gene markers specific to epithelial tissue, bone, and mesenchyme. To validate their expression patterns, we conducted a meta-analysis of the microarray database, which confirmed high expression levels of these markers in mucosal organs, skin, gills, and the olfactory rosette. Article in Journal/Newspaper Atlantic salmon Salmo salar Oxford University Press G3: Genes, Genomes, Genetics |
institution |
Open Polar |
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Oxford University Press |
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croxfordunivpr |
language |
English |
description |
Abstract In this study, we present the first spatial transcriptomic atlas of Atlantic salmon skin using the Visium Spatial Gene Expression protocol. We utilized frozen skin tissue from 4 distinct sites, namely the operculum, pectoral and caudal fins, and scaly skin at the flank of the fish close to the lateral line, obtained from 2 Atlantic salmon (150 g). High-quality frozen tissue sections were obtained by embedding tissue in optimal cutting temperature media prior to freezing and sectioning. Further, we generated libraries and spatial transcriptomic maps, achieving a minimum of 80 million reads per sample with mapping efficiencies ranging from 79.3 to 89.4%. Our analysis revealed the detection of over 80,000 transcripts and nearly 30,000 genes in each sample. Among the tissue types observed in the skin, the epithelial tissues exhibited the highest number of transcripts (unique molecular identifier counts), followed by muscle tissue, loose and fibrous connective tissue, and bone. Notably, the widest nodes in the transcriptome network were shared among the epithelial clusters, while dermal tissues showed less consistency, which is likely attributable to the presence of multiple cell types at different body locations. Additionally, we identified collagen type 1 as the most prominent gene family in the skin, while keratins were found to be abundant in the epithelial tissue. Furthermore, we successfully identified gene markers specific to epithelial tissue, bone, and mesenchyme. To validate their expression patterns, we conducted a meta-analysis of the microarray database, which confirmed high expression levels of these markers in mucosal organs, skin, gills, and the olfactory rosette. |
author2 |
Yáñez, J Norwegian Seafood Research Fund Genomics4Robust Norwegian Research Council |
format |
Article in Journal/Newspaper |
author |
Sveen, Lene R Robinson, Nicholas Krasnov, Aleksei Daniels, Rose Ruiz Vaadal, Marianne Karlsen, Christian Ytteborg, Elisabeth Robledo, Diego Salisbury, Sarah Dagnachew, Binyam Lazado, Carlo C Tengs, Torstein |
spellingShingle |
Sveen, Lene R Robinson, Nicholas Krasnov, Aleksei Daniels, Rose Ruiz Vaadal, Marianne Karlsen, Christian Ytteborg, Elisabeth Robledo, Diego Salisbury, Sarah Dagnachew, Binyam Lazado, Carlo C Tengs, Torstein Transcriptomic landscape of Atlantic salmon ( Salmo salar L.) skin |
author_facet |
Sveen, Lene R Robinson, Nicholas Krasnov, Aleksei Daniels, Rose Ruiz Vaadal, Marianne Karlsen, Christian Ytteborg, Elisabeth Robledo, Diego Salisbury, Sarah Dagnachew, Binyam Lazado, Carlo C Tengs, Torstein |
author_sort |
Sveen, Lene R |
title |
Transcriptomic landscape of Atlantic salmon ( Salmo salar L.) skin |
title_short |
Transcriptomic landscape of Atlantic salmon ( Salmo salar L.) skin |
title_full |
Transcriptomic landscape of Atlantic salmon ( Salmo salar L.) skin |
title_fullStr |
Transcriptomic landscape of Atlantic salmon ( Salmo salar L.) skin |
title_full_unstemmed |
Transcriptomic landscape of Atlantic salmon ( Salmo salar L.) skin |
title_sort |
transcriptomic landscape of atlantic salmon ( salmo salar l.) skin |
publisher |
Oxford University Press (OUP) |
publishDate |
2023 |
url |
http://dx.doi.org/10.1093/g3journal/jkad215 https://academic.oup.com/g3journal/advance-article-pdf/doi/10.1093/g3journal/jkad215/51927828/jkad215.pdf https://academic.oup.com/g3journal/article-pdf/13/11/jkad215/56715358/jkad215.pdf |
genre |
Atlantic salmon Salmo salar |
genre_facet |
Atlantic salmon Salmo salar |
op_source |
G3: Genes, Genomes, Genetics volume 13, issue 11 ISSN 2160-1836 |
op_rights |
https://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.1093/g3journal/jkad215 |
container_title |
G3: Genes, Genomes, Genetics |
_version_ |
1810432270644805632 |