Additional file 1 of Temporal changes in the gut microbiota in farmed Atlantic cod (Gadus morhua) outweigh the response to diet supplementation with macroalgae

Additional file 1: Figure S1. Photographic images of individual juvenile Atlantic cod (Gadus morhua) showing the visual distinction between A) ASCO_N, and B) ASCO_LG groups at Week 8. Note the smaller body size in the ASCO_LG individual which is consistent with poor food uptake. Figure S2. Bar-plots...

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Main Authors: Keating, C., M. Bolton-Warberg, J. Hinchcliffe, R. Davies, S. Whelan, A. H. L. Wan, R. D. Fitzgerald, S. J. Davies, U. Z. Ijaz, C. J. Smith
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Published: figshare 2021
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Online Access:https://dx.doi.org/10.6084/m9.figshare.13544615
https://springernature.figshare.com/articles/journal_contribution/Additional_file_1_of_Temporal_changes_in_the_gut_microbiota_in_farmed_Atlantic_cod_Gadus_morhua_outweigh_the_response_to_diet_supplementation_with_macroalgae/13544615
id ftdatacite:10.6084/m9.figshare.13544615
record_format openpolar
spelling ftdatacite:10.6084/m9.figshare.13544615 2023-05-15T15:26:58+02:00 Additional file 1 of Temporal changes in the gut microbiota in farmed Atlantic cod (Gadus morhua) outweigh the response to diet supplementation with macroalgae Keating, C. M. Bolton-Warberg J. Hinchcliffe R. Davies S. Whelan A. H. L. Wan R. D. Fitzgerald S. J. Davies U. Z. Ijaz C. J. Smith 2021 https://dx.doi.org/10.6084/m9.figshare.13544615 https://springernature.figshare.com/articles/journal_contribution/Additional_file_1_of_Temporal_changes_in_the_gut_microbiota_in_farmed_Atlantic_cod_Gadus_morhua_outweigh_the_response_to_diet_supplementation_with_macroalgae/13544615 unknown figshare https://dx.doi.org/10.1186/s42523-020-00065-1 Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 CC-BY Ecology FOS Biological sciences Text article-journal Journal contribution ScholarlyArticle 2021 ftdatacite https://doi.org/10.6084/m9.figshare.13544615 https://doi.org/10.1186/s42523-020-00065-1 2021-11-05T12:55:41Z Additional file 1: Figure S1. Photographic images of individual juvenile Atlantic cod (Gadus morhua) showing the visual distinction between A) ASCO_N, and B) ASCO_LG groups at Week 8. Note the smaller body size in the ASCO_LG individual which is consistent with poor food uptake. Figure S2. Bar-plots of fish sampled for microbiome analysis (A) and fish sampled for histology B) with i) the recorded weights (g), the recorded lengths (cm) in ii) and iii) the calculated condition factor K over the course of the trial. The associated statistical measurements were calculated using Kruskal-wallis significance testing. Figure S3. Rarefaction curves showing the number of reads from the 16S rRNA gene in DNA from 67 samples from Atlantic cod (Gadus morhua) on the x-axis and the number of OTUs within a 97% percent sequence similarity threshold on the y-axis. Groups are indicated by colour coded lines. Figure S4. Microbial diversity and community structure according to variances in the 16S rRNA gene in DNA from 67 samples from Atlantic cod (Gadus morhua) microbiome. A) Alpha diversity box plots of Pielou’s evenness, Shannon Entropy and Simpson Diversity index. Pair-wise ANOVA P-values are displayed P 1% relative abundance in the hindgut microbiota between the Week 0, Week 8 (CRTL, ULVA, ASCO_N and ASCO_LG) and Week 12 (CRTL, ULVA, ASCO_N and ASCO_LG) groups of juvenile Atlantic cod (Gadus morhua). Rows and columns are ordered using hierarchical (average linkage) clustering to identify blocks of genera of interest. The heatmap depicts TSS + CLR (Total Sum Scaling followed by Centralised Log Ratio) normalised abundances: high abundance (orange/yellow) and low abundance (dark purple). Fish weight (g) and condition factor K is shown per grouping. sPLS-DA was fine-tuned using centroids.dist and 3 tuning components. Figure S7. sPLS-DA heatmap of the discriminant operational taxonomic units (OTUs) > 3.5% relative abundance between the CRTL, ULVA, ASCO_N and ASCO_LG groups of juvenile Atlantic cod (Gadus morhua) at Week 8. Rows and columns are ordered using hierarchical (average linkage) clustering to identify blocks of genera of interest. The heatmap depicts TSS + CLR (Total Sum Scaling followed by Centralised Log Ratio) normalised abundances: high abundance (orange/yellow) and low abundance (dark purple). Fish weight (g) and condition factor K is shown per grouping. sPLS-DA was fine-tuned using centroids.dist and 3 tuning components. Figure S8. The core microbiome consisting of the operational taxonomic units (OTUs) found in 85% of individuals in the A) CTRL and B) ULVA dietary treatment at Week 12. Green text indicates those that are shared between the two dietary treatments. Text atlantic cod Gadus morhua DataCite Metadata Store (German National Library of Science and Technology) The ''Y'' ENVELOPE(-112.453,-112.453,57.591,57.591)
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language unknown
topic Ecology
FOS Biological sciences
spellingShingle Ecology
FOS Biological sciences
Keating, C.
M. Bolton-Warberg
J. Hinchcliffe
R. Davies
S. Whelan
A. H. L. Wan
R. D. Fitzgerald
S. J. Davies
U. Z. Ijaz
C. J. Smith
Additional file 1 of Temporal changes in the gut microbiota in farmed Atlantic cod (Gadus morhua) outweigh the response to diet supplementation with macroalgae
topic_facet Ecology
FOS Biological sciences
description Additional file 1: Figure S1. Photographic images of individual juvenile Atlantic cod (Gadus morhua) showing the visual distinction between A) ASCO_N, and B) ASCO_LG groups at Week 8. Note the smaller body size in the ASCO_LG individual which is consistent with poor food uptake. Figure S2. Bar-plots of fish sampled for microbiome analysis (A) and fish sampled for histology B) with i) the recorded weights (g), the recorded lengths (cm) in ii) and iii) the calculated condition factor K over the course of the trial. The associated statistical measurements were calculated using Kruskal-wallis significance testing. Figure S3. Rarefaction curves showing the number of reads from the 16S rRNA gene in DNA from 67 samples from Atlantic cod (Gadus morhua) on the x-axis and the number of OTUs within a 97% percent sequence similarity threshold on the y-axis. Groups are indicated by colour coded lines. Figure S4. Microbial diversity and community structure according to variances in the 16S rRNA gene in DNA from 67 samples from Atlantic cod (Gadus morhua) microbiome. A) Alpha diversity box plots of Pielou’s evenness, Shannon Entropy and Simpson Diversity index. Pair-wise ANOVA P-values are displayed P 1% relative abundance in the hindgut microbiota between the Week 0, Week 8 (CRTL, ULVA, ASCO_N and ASCO_LG) and Week 12 (CRTL, ULVA, ASCO_N and ASCO_LG) groups of juvenile Atlantic cod (Gadus morhua). Rows and columns are ordered using hierarchical (average linkage) clustering to identify blocks of genera of interest. The heatmap depicts TSS + CLR (Total Sum Scaling followed by Centralised Log Ratio) normalised abundances: high abundance (orange/yellow) and low abundance (dark purple). Fish weight (g) and condition factor K is shown per grouping. sPLS-DA was fine-tuned using centroids.dist and 3 tuning components. Figure S7. sPLS-DA heatmap of the discriminant operational taxonomic units (OTUs) > 3.5% relative abundance between the CRTL, ULVA, ASCO_N and ASCO_LG groups of juvenile Atlantic cod (Gadus morhua) at Week 8. Rows and columns are ordered using hierarchical (average linkage) clustering to identify blocks of genera of interest. The heatmap depicts TSS + CLR (Total Sum Scaling followed by Centralised Log Ratio) normalised abundances: high abundance (orange/yellow) and low abundance (dark purple). Fish weight (g) and condition factor K is shown per grouping. sPLS-DA was fine-tuned using centroids.dist and 3 tuning components. Figure S8. The core microbiome consisting of the operational taxonomic units (OTUs) found in 85% of individuals in the A) CTRL and B) ULVA dietary treatment at Week 12. Green text indicates those that are shared between the two dietary treatments.
format Text
author Keating, C.
M. Bolton-Warberg
J. Hinchcliffe
R. Davies
S. Whelan
A. H. L. Wan
R. D. Fitzgerald
S. J. Davies
U. Z. Ijaz
C. J. Smith
author_facet Keating, C.
M. Bolton-Warberg
J. Hinchcliffe
R. Davies
S. Whelan
A. H. L. Wan
R. D. Fitzgerald
S. J. Davies
U. Z. Ijaz
C. J. Smith
author_sort Keating, C.
title Additional file 1 of Temporal changes in the gut microbiota in farmed Atlantic cod (Gadus morhua) outweigh the response to diet supplementation with macroalgae
title_short Additional file 1 of Temporal changes in the gut microbiota in farmed Atlantic cod (Gadus morhua) outweigh the response to diet supplementation with macroalgae
title_full Additional file 1 of Temporal changes in the gut microbiota in farmed Atlantic cod (Gadus morhua) outweigh the response to diet supplementation with macroalgae
title_fullStr Additional file 1 of Temporal changes in the gut microbiota in farmed Atlantic cod (Gadus morhua) outweigh the response to diet supplementation with macroalgae
title_full_unstemmed Additional file 1 of Temporal changes in the gut microbiota in farmed Atlantic cod (Gadus morhua) outweigh the response to diet supplementation with macroalgae
title_sort additional file 1 of temporal changes in the gut microbiota in farmed atlantic cod (gadus morhua) outweigh the response to diet supplementation with macroalgae
publisher figshare
publishDate 2021
url https://dx.doi.org/10.6084/m9.figshare.13544615
https://springernature.figshare.com/articles/journal_contribution/Additional_file_1_of_Temporal_changes_in_the_gut_microbiota_in_farmed_Atlantic_cod_Gadus_morhua_outweigh_the_response_to_diet_supplementation_with_macroalgae/13544615
long_lat ENVELOPE(-112.453,-112.453,57.591,57.591)
geographic The ''Y''
geographic_facet The ''Y''
genre atlantic cod
Gadus morhua
genre_facet atlantic cod
Gadus morhua
op_relation https://dx.doi.org/10.1186/s42523-020-00065-1
op_rights Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
cc-by-4.0
op_rightsnorm CC-BY
op_doi https://doi.org/10.6084/m9.figshare.13544615
https://doi.org/10.1186/s42523-020-00065-1
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