Physiological response of goldsinny wrasse to global climate change

SND-ID: 2024-491. Version: 1. DOI: https://doi.org/10.5878/ab66-6w10

Citation

Creator/Principal investigator(s)

Diana Hammar Perry - Swedish University of Agricultural Sciences, Department of Aquatic Resources orcid

Research principal

Swedish University of Agricultural Sciences - Department of Aquatic Resources rorId

Principal's reference number

SLU.aqua.2024.4.4.IÄ-17

Description

In order to understand the physiological effects of global climate change on goldsinny wrasse, a multi-stressor experiment was conducted exposing the fish to four weeks of experimental conditions with treatments consisting of control conditions (salinity approx 28, temp 13°C, pH approx 8.1), low salinity (17), high temperature (19°C), low ph (7.5) and the combination of all three stressors combined (multi-stressor treatment salinity 17, temp 19°C, and pH 7.5).
Potential physiological stress was evaluated by measuring growth (weight and length), oxygen consumption using respirometry, and liver oxidative stress analyses (ratio GSSG-GSH, GSSG, GSH, CAT, GST, GR and LPO).

Data from the Weight Length file contains information related to experimental treatment conditions, fish ID, and weight (g) and length (cm) at the end of the exposure period (4 columns, 123 rows).

Data from the ratio GSSG-GSH, GSSG, GSH, CAT, GST, GR and LPO files are from enzymatic measurements of liver samples for oxidative stress analyses and include treatment and fish ID for each biomarker.

The ratio GSSG-GSH file - 3 c

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In order to understand the physiological effects of global climate change on goldsinny wrasse, a multi-stressor experiment was conducted exposing the fish to four weeks of experimental conditions with treatments consisting of control conditions (salinity approx 28, temp 13°C, pH approx 8.1), low salinity (17), high temperature (19°C), low ph (7.5) and the combination of all three stressors combined (multi-stressor treatment salinity 17, temp 19°C, and pH 7.5).
Potential physiological stress was evaluated by measuring growth (weight and length), oxygen consumption using respirometry, and liver oxidative stress analyses (ratio GSSG-GSH, GSSG, GSH, CAT, GST, GR and LPO).

Data from the Weight Length file contains information related to experimental treatment conditions, fish ID, and weight (g) and length (cm) at the end of the exposure period (4 columns, 123 rows).

Data from the ratio GSSG-GSH, GSSG, GSH, CAT, GST, GR and LPO files are from enzymatic measurements of liver samples for oxidative stress analyses and include treatment and fish ID for each biomarker.

The ratio GSSG-GSH file - 3 columns, 80 rows; the GSSG file – 3 columns, 80 rows; the GSH file – 3 columns, 80 rows; the CAT file - 3 columns, 74 rows; the GST file – 3 columns, 77 rows; the GR file – 3 columns, 75 rows; the LPO file – 3 columns, 77 rows. Glutathione-reductase = GR (nmol/mg protein/min), Glutathione-S-transferase = GST (µmol/mg protein/min), Catalase = CAT (µmol/mg protein/min), Reduced glutathione = GSH (µmol/mg liver), Oxidized glutathione = GSSG (µmol/mg liver), Ratio oxidized/reduced = %GSSG/GSH (%), Lipid peroxidation = LPO (nmol MDA/ml).

Data from the Rest, max and scope respirometry file contains oxygen consumption data MO2 which stands for mass specific O2 uptake and SMR for standard metabolic rate. SMR, maximum MO2 and aerobic scope (mg O2 h-1). It also includes treatment, fish ID, and weight (g) – 6 columns, 76 rows. Show less..

Data contains personal data

No

Language

Method and outcome

Time period(s) investigated

2022-05 – 2022-06

Data format / data structure

Data collection
  • Mode of collection: Experiment
  • Description of the mode of collection: Data were collected by weighing and measuring the fish (weight and length), using respirometry (oxygen consumption) and analyzing livers samples for oxidative stress enzyme activity.
  • Time period(s) for data collection: 2022-05 – 2022-06
Geographic coverage
Administrative information

Responsible department/unit

Department of Aquatic Resources

Contributor(s)

Elena Tamarit - University of Gothenburg orcid

Daniel Morgenroth - Swedish University of Agricultural Sciences, Department of Applied Animal Science and Welfare orcid

Albin Gräns - Swedish University of Agricultural Sciences, Department of Applied Animal Science and Welfare

Joachim Sturve - University of Gothenburg

Martin Gullström - Södertörn University

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Elena Tamarit - University of Gothenburg orcid

Daniel Morgenroth - Swedish University of Agricultural Sciences, Department of Applied Animal Science and Welfare orcid

Albin Gräns - Swedish University of Agricultural Sciences, Department of Applied Animal Science and Welfare

Joachim Sturve - University of Gothenburg

Martin Gullström - Södertörn University

Peter Thor - Swedish University of Agricultural Sciences, Department of Aquatic Resources

Håkan Wennhage - Swedish University of Agricultural Sciences, Department of Aquatic Resources

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Funding

  • Funding agency: Swedish Environmental Protection Agency rorId
  • Funding agency's reference number: NV-802-0100-19

Ethics Review

Swedish Ethical Review Authority - Ref. Dnr 5.8.18-17034/2021

Topic and keywords

Research area

Climate research (Standard för svensk indelning av forskningsämnen 2011)

Ecology (Standard för svensk indelning av forskningsämnen 2011)

Other biological topics (Standard för svensk indelning av forskningsämnen 2011)

Other natural sciences not elsewhere specified (Standard för svensk indelning av forskningsämnen 2011)

Publications

Perry, D., Tamarit, E., Morgenroth, D., Gräns, A., Sturve, J., Gullström, M., Thor, P., Wennhage, H. (2024). The heat is on: sensitivity of goldsinny wrasse to global climate change. Conservation Physiology, 12 (1), coae068.
DOI: https://doi.org/10.1093/conphys/coae068

If you have published anything based on these data, please notify us with a reference to your publication(s). If you are responsible for the catalogue entry, you can update the metadata/data description in DORIS.

Versions

Version 1. 2024-11-19

Version 1: 2024-11-19

DOI: https://doi.org/10.5878/ab66-6w10

Contacts for questions about the data

SLU Arkiv

arkiv@slu.se

Diana Hammar Perry

diana.perry@slu.se

Published: 2024-11-19
Last updated: 2024-11-19