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Single nuclei RNAseq data from Atlantic salmon (Salmo salar) gill

ABSTRACT: single nuclei RNAseq data from Atlantic salmon (Salmo salar) gill

PROVIDER: PRJNA701613 | ENA |

REPOSITORIES: ENA

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			Action	DRS
	SRR13697311.fastq.gz	Fastqsanger.gz
	SRR13697312.fastq.gz	Fastqsanger.gz
	SRR13697313.fastq.gz	Fastqsanger.gz
	SRR13697314.fastq.gz	Fastqsanger.gz
	SRR13697315.fastq.gz	Fastqsanger.gz

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single nuclei RNAseq data from Atlantic salmon (Salmo salar) gill

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Global gene expresssion profiling the gills of amoebic gill disease (AGD) affected Atlantic salmon (Salmo salar)

Project description:Amoebic gill disease (AGD) is an ectoparasitic condition of some farm-reared marine fish and is caused by Neoparamoeba perurans. Tanks housing Atlantic salmon (Salmo salar) were inoculated with Neoparamoeba perurans and fish were sampled at 36 days postinoculation (pi.). AGD-affected gill tissue was dissected from N. perurans infected fish, and a DNA microarray was used to compare global gene expression against tissues from AGD-naive fish. To determine whether the changes in gene expression were restricted to AGD-lesions, lesion tissue from AGD-affected fish was also compared with non-lesion gill tissue dissected from the same gill arch. Samples were assessed using a DNA microarray. mRNA from lesion and non-lesion gill tissue was amplified and labeled. Six biological and two technical replicates were utilised to hybridise to 12 arrays using amplified RNA from AGD-affected lesion gill tissue with AGD-naive fish as a control. Four biological and two technical replicates were utilised to hybridise to 8 arrays using amplified RNA from AGD-affected lesion gill tissue with non-lesion tissue from the same gill arch as a control. The assignment of microarrays to treatment groups for hybridization was randomised by using a random number generator.

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Project description:Norway is the largest producer and exporter of farmed Atlantic salmon (Salmo salar) worldwide. Skin disorders correlated with bacterial infections represent an important challenge for fish farmers due to the economic losses caused. Little is known about this topic, thus studying the skin-mucus of Salmo salar and its bacterial community depict a step forward in understanding fish welfare in aquaculture. In this study, we used label free quantitative mass spectrometry to investigate the skin-mucus proteins associated with both Atlantic salmon and bacteria. In addition, the microbial temporal proteome dynamics during 9 days of mucus incubation with sterilized seawater was investigated, in order to evaluate their capacity to utilize mucus components for growth in this environment.

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Integration of Transcriptome, Gross Morphology and Histopathology in the Gill of Sea Farmed Atlantic Salmon (Salmo salar): Lessons from Multi-site Sampling

Project description:The experiment focused on the transcriptomic changes associated with gill inflammation in sea farmed Atlantic salmon (Salmo salar). To ensure the multifactorial aspect of gill inflammation, fish were sampled at three marine production sites (A on Isle of Mull, B in Shetland and C in Shetland) between October 2017 and March 2018. All fish were of strain Fanad and originated from the same egg fertilisation batch. They were reared in different hatcheries (Couldoran, Pettigo-Damph and Knock-Frisa for sites A, B and C, respectively) for one year and entered the sea in spring 2017. The resultant gill tissues (44 samples in total with 1 gill sample per fish) were first scored for proliferative gill disease (PGD), using gross morphology PGD scores from 0 with no visual pathology to 5 with severe visual pathology, and then subjected to RNA-seq and histopathological (microscopic) examination. One RNA-seq sample (fish 95) was identified as an outlier and removed from the subsequent analysis. As a result, the analysis aiming to integrate gill transcriptome, gross morphology and histopathology was performed on 43 gill samples, classified either as PGD score 1 (n = 26) or PGD score 3 (n = 17). In total, 20 gill samples originated from site A (10 with PGD1 and 10 with PGD 3, 10 samples from site B (7 with PGD1 and 3 with PGD 3) and 13 samples from site C (9 with PGD1 and 4 with PGD 3).

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