Literature DB >> 21671026

Fish welfare and genomics.

P Prunet1, Ø Øverli, J Douxfils, G Bernardini, P Kestemont, D Baron.   

Abstract

There is a considerable public and scientific debate concerning welfare of fish in aquaculture. In this review, we will consider fish welfare as an integration of physiological, behavioral, and cognitive/emotional responses, all of which are essentially adaptative responses to stressful situations. An overview of fish welfare in this context suggests that understanding will rely on knowledge of all components of allostatic responses to stress and environmental perturbations. The development of genomic technologies provides new approaches to this task, exemplified by how genome-wide analysis of genetic structures and corresponding expression patterns can lead to the discovery of new aspects of adaptative responses. We will illustrate how the genomic approach may give rise to new biomarkers for fish welfare and also increase our understanding of the interaction between physiological, behavioral, and emotional responses. In a first part, we present data on expression of candidate genes selected a priori. This is a common avenue to develop molecular biomarkers capable of diagnosing a stress condition at its earliest onset, in order to allow quick corrective intervention in an aquaculture setting. However, most of these studies address isolated physiological functions and stress responses that may not be truly indicative of animal welfare, and there is only rudimentary understanding of genes related to possible cognitive and emotional responses in fish. We also present an overview on transcriptomic analysis related to the effect of aquaculture stressors, environmental changes (temperature, salinity, hypoxia), or concerning specific behavioral patterns. These studies illustrate the potential of genomic approaches to characterize the complexity of the molecular mechanisms which underlies not only physiological but also behavioral responses in relation to fish welfare. Thirdly, we address proteomic studies on biological responses to stressors such as salinity change and hypoxia. We will also consider proteomic studies developed in mammals in relation to anxiety and depressive status which may lead to new potential candidates in fish. Finally, in the conclusion, we will suggest new developments to facilitate an integrated view of fish welfare. This includes use of laser microdissection in the transcriptomic/proteomic studies, development of meta-analysis methods for extracting information from genomic data sets, and implementation of technological advances for high-throughput proteomic studies. Development of these new approaches should be as productive for our understanding of the biological processes underlying fish welfare as it has been for the progress of pathophysiological research.

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Year:  2011        PMID: 21671026     DOI: 10.1007/s10695-011-9522-z

Source DB:  PubMed          Journal:  Fish Physiol Biochem        ISSN: 0920-1742            Impact factor:   2.794


  108 in total

1.  Genome-wide location and function of DNA binding proteins.

Authors:  B Ren; F Robert; J J Wyrick; O Aparicio; E G Jennings; I Simon; J Zeitlinger; J Schreiber; N Hannett; E Kanin; T L Volkert; C J Wilson; S P Bell; R A Young
Journal:  Science       Date:  2000-12-22       Impact factor: 47.728

2.  Rearing density influences the expression of stress-related genes in sea bass (Dicentrarchus labrax, L.).

Authors:  Rosalba Gornati; Elena Papis; Simona Rimoldi; Genciana Terova; Marco Saroglia; Giovanni Bernardini
Journal:  Gene       Date:  2004-10-27       Impact factor: 3.688

3.  Gene expression pattern in the liver during recovery from an acute stressor in rainbow trout.

Authors:  Steve Wiseman; Heather Osachoff; Erin Bassett; Jana Malhotra; Joy Bruno; Graham Vanaggelen; Thomas P Mommsen; Mathilakath M Vijayan
Journal:  Comp Biochem Physiol Part D Genomics Proteomics       Date:  2007-05-05       Impact factor: 2.674

Review 4.  The multifunctional fish gill: dominant site of gas exchange, osmoregulation, acid-base regulation, and excretion of nitrogenous waste.

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Review 6.  From signatures to models: understanding cancer using microarrays.

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Review 7.  Post-genomic approaches to understanding the mechanisms of environmentally induced phenotypic plasticity.

Authors:  Andrew Cossins; Jane Fraser; Margaret Hughes; Andrew Gracey
Journal:  J Exp Biol       Date:  2006-06       Impact factor: 3.312

8.  Identification and characterization of a novel intraepithelial lymphoid tissue in the gills of Atlantic salmon.

Authors:  Erlend Haugarvoll; Inge Bjerkås; Barbara F Nowak; Ivar Hordvik; Erling O Koppang
Journal:  J Anat       Date:  2008-08       Impact factor: 2.610

9.  The use of transcriptomics to address questions in behaviour: production of a suppression subtractive hybridisation library from dominance hierarchies of rainbow trout.

Authors:  Lynne U Sneddon; Javier Margareto; Andrew R Cossins
Journal:  Physiol Biochem Zool       Date:  2005-07-28       Impact factor: 2.247

10.  Decreased hippocampal cholinergic neurostimulating peptide precursor protein associated with stress exposure in rat brain by proteomic analysis.

Authors:  Hong Gi Kim; Kil Lyong Kim
Journal:  J Neurosci Res       Date:  2007-10       Impact factor: 4.164

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  10 in total

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2.  Interactive effects of a high-quality protein diet and high stocking density on the stress response and some innate immune parameters of Senegalese sole Solea senegalensis.

Authors:  Benjamín Costas; Cláudia Aragão; Jorge Dias; António Afonso; Luís E C Conceição
Journal:  Fish Physiol Biochem       Date:  2013-01-23       Impact factor: 2.794

3.  Transcriptional assessment by microarray analysis and large-scale meta-analysis of the metabolic capacity of cardiac and skeletal muscle tissues to cope with reduced nutrient availability in Gilthead Sea Bream (Sparus aurata L.).

Authors:  Josep A Calduch-Giner; Yann Echasseriau; Diego Crespo; Daniel Baron; Josep V Planas; Patrick Prunet; Jaume Pérez-Sánchez
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4.  Acute physiological stress down-regulates mRNA expressions of growth-related genes in coho salmon.

Authors:  Toshiki Nakano; Luis O B Afonso; Brian R Beckman; George K Iwama; Robert H Devlin
Journal:  PLoS One       Date:  2013-08-19       Impact factor: 3.240

5.  Transcriptomic analysis of the hepatic response to stress in the red cusk-eel (Genypterus chilensis): Insights into lipid metabolism, oxidative stress and liver steatosis.

Authors:  Sebastian Naour; Brisa M Espinoza; Jorge E Aedo; Rodrigo Zuloaga; Jonathan Maldonado; Macarena Bastias-Molina; Herman Silva; Claudio Meneses; Cristian Gallardo-Escarate; Alfredo Molina; Juan Antonio Valdés
Journal:  PLoS One       Date:  2017-04-27       Impact factor: 3.240

6.  Family-effects in the epigenomic response of red blood cells to a challenge test in the European sea bass (Dicentrarchus labrax, L.).

Authors:  Madoka Vera Krick; Erick Desmarais; Athanasios Samaras; Elise Guéret; Arkadios Dimitroglou; Michalis Pavlidis; Costas Tsigenopoulos; Bruno Guinand
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7.  Dietary vegetable oils do not alter the intestine transcriptome of gilthead sea bream (Sparus aurata), but modulate the transcriptomic response to infection with Enteromyxum leei.

Authors:  Josep A Calduch-Giner; Ariadna Sitjà-Bobadilla; Grace C Davey; Michael T Cairns; Sadasivam Kaushik; Jaume Pérez-Sánchez
Journal:  BMC Genomics       Date:  2012-09-11       Impact factor: 3.969

8.  Coping with unpredictability: dopaminergic and neurotrophic responses to omission of expected reward in Atlantic salmon (Salmo salar L.).

Authors:  Marco A Vindas; Christina Sørensen; Ida B Johansen; Ole Folkedal; Erik Höglund; Uniza W Khan; Lars H Stien; Tore S Kristiansen; Bjarne O Braastad; Øyvind Øverli
Journal:  PLoS One       Date:  2014-01-17       Impact factor: 3.240

9.  Effect of severe environmental thermal stress on redox state in salmon.

Authors:  Toshiki Nakano; Masumi Kameda; Yui Shoji; Satoshi Hayashi; Toshiyasu Yamaguchi; Minoru Sato
Journal:  Redox Biol       Date:  2014-06-05       Impact factor: 11.799

10.  Identification of QTLs for behavioral reactivity to social separation and humans in sheep using the OvineSNP50 BeadChip.

Authors:  Dominique Hazard; Carole Moreno; Didier Foulquié; Eric Delval; Dominique François; Jacques Bouix; Guillaume Sallé; Alain Boissy
Journal:  BMC Genomics       Date:  2014-09-09       Impact factor: 3.969

  10 in total

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