Seawater enrichment with methanesulfonate
Ontology highlight
ABSTRACT:
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| ERR1111186.fastq.gz | Fastqsanger.gz | |||
| ERR1111187.fastq.gz | Fastqsanger.gz | |||
| ERR1111188.fastq.gz | Fastqsanger.gz | |||
| ERR845264_1.fastq.gz | Fastqsanger.gz | |||
| ERR845264_2.fastq.gz | Fastqsanger.gz |
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2020-01-07 | PXD016570 | Pride
Project description:Background: Rainbow trout (Oncorhynchus mykiss) is a salmonid species with a complex life-history. Wild populations are naturally divided into freshwater residents and sea-run migrants. Migrants undergo an energy-demanding adaptation for life in seawater, known as smoltification, while freshwater residents display these changes in an attenuated magnitude and rate. Despite this, in seawater rainbow trout farming all animals are transferred to seawater. Under these circumstances, weeks after seawater transfer, a significant portion of the fish die (around 10%) or experience growth stunting (GS; around 10%), which represents an important profitability and welfare issue. The underlying causes leading to GS in seawater-transferred rainbow trout remain unknown. In this study, we aimed at characterising the GS phenotype in seawater-transferred rainbow trout using untargeted and targeted approaches. To this end, the liver proteome (LC-MS/MS) and lipidome (LC-MS) of GS and fast-growing phenotypes were profiled to identify molecules and processes that are characteristic of the GS phenotype. Moreover, the transcription, abundance or activity of key proteins and hormones related to osmoregulation (Gill Na+, K+–ATPase activity), growth (plasma IGF-I, and liver igf1, igfbp1b, ghr1 and ctsl) and stress (plasma cortisol) were measured using targeted approaches. Results: No differences in Gill Na+, K+–ATPase activity and plasma cortisol were detected between the two groups. However, a significant downregulation in plasma IGF-I and liver igf1 transcription pointed at this growth factor as an important pathomechanism for GS. Changes in the liver proteome revealed reactive-oxygen-species-mediated endoplasmic reticulum stress as a key mechanism underlying the GS phenotype. From the lipidomic analysis, key observations include a reduction in triacylglycerols and elevated amounts of cardiolipins, a characteristic lipid class associated with oxidative stress, in GS phenotype. Conclusion: While the triggers to the activation of endoplasmic reticulum stress are still unknown, data from this study point towards either an unresolved infection or a nutritional deficiency as underlying drivers of this phenotype.
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Project description:Gene expression analyses have been performed on liver tissue of sexually mature and immature males using microarrays. 60 eels were transferred to two independent temperature controlled recirculation water units connected to two 500 L cylindro-conical tanks (30 fish per tank) where the fish were acclimated to seawater (35 PSU salinity) over a 2 week period.Eel males in one of the seawater units were injected intramuscularly every week over a 140 day period with 2000 IU hCG/kg (human chorionic gonadotropin, Sigma–Aldrich Chemical) dissolved in 0.9% saline to induce sexual maturation. Eel males in the other recirculation unit were injected weekly over the same period with 0.9% NaCl (vehicle).At the end of the experiment, eels were anesthetized in a solution of 0.1mg/L tricaine methanesulfonate (MS-222, Sigma Aldrich) and blood samples collected into heparinized syringes. Tissues (brain, liver and gonads) were collected from sexually immature (n=12) and sexually mature males (n=12).RNeasy Mini Kit (Qiagen) was used to extract RNA from the livers. Tissue samples were pooled and, therefore, each of the biological replicates (n= 4 sexually immature, n=4 sexually mature) contains tissue from three fish. Total RNA concentration was determined using the Nanodrop ND-100 spectrophotometer (NanoDrop Technologies) and sample integrity was assessed using an Agilent 2100 Bioanalyzer (Agilent Technologies). Microarray analysis was conducted using an European eel-specific array consisting of a total of 14,913 probes based on a large collection of high-throughput transcriptomic sequences (Pujolar et al. 2012). Probe sequences and further details on the microarray platform can be found on the GEO database under accession number GPL15124. Data was normalized using a quantile normalization procedure using R (http://www.r-project.org)
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