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dc.contributor.authorMartos-Sitcha, Juan Antonio-
dc.contributor.authorSimó-Mirabet, Paula-
dc.contributor.authorHeras, Verónica de las-
dc.contributor.authorPérez-Sánchez, Jaume-
dc.date.accessioned2020-04-24T07:26:07Z-
dc.date.available2020-04-24T07:26:07Z-
dc.date.issued2019-07-10-
dc.identifierdoi: 10.3389/fphys.2019.00840-
dc.identifierissn: 1664-042X-
dc.identifier.citationFrontiers in Physiology 10: 840 (2019)-
dc.identifier.urihttp://hdl.handle.net/10261/208900-
dc.description.abstractTwo different O2 levels (normoxia: 75¿85% O2 saturation; moderate hypoxia: 42¿43% O2 saturation) and stocking densities (LD: 9.5, and HD: 19 kg/m3) were assessed on gilthead sea bream (Sparus aurata) in a 3-week feeding trial. Reduced O2 availability had a negative impact on feed intake and growth rates, which was exacerbated by HD despite of the improvement in feed efficiency. Blood physiological hallmarks disclosed the enhancement in O2-carrying capacity in fish maintained under moderate hypoxia. This feature was related to a hypo-metabolic state to cope with a chronic and widespread environmental O2 reduction, which was accompanied by a differential regulation of circulating cortisol and growth hormone levels. Customized PCR-arrays were used for the simultaneous gene expression profiling of 34¿44 selected stress and metabolic markers in liver, white skeletal muscle, heart, and blood cells. The number of differentially expressed genes ranged between 22 and 19 in liver, heart, and white skeletal muscle to 5 in total blood cells. Partial Least-Squares Discriminant Analysis (PLS-DA) explained [R2Y(cum)] and predicted [Q2Y(cum)] up to 95 and 65% of total variance, respectively. The first component (R2Y = 0.2889) gathered fish on the basis of O2 availability, and liver and cardiac genes on the category of energy sensing and oxidative metabolism (cs, hif-1¿, pgc1¿, pgc1ß, sirts 1-2-4-5-6-7), antioxidant defense and tissue repair (prdx5, sod2, mortalin, gpx4, gr, grp-170, and prdx3) and oxidative phosphorylation (nd2, nd5, and coxi) highly contributed to this separation. The second component (R2Y = 0.2927) differentiated normoxic fish at different stocking densities, and the white muscle clearly promoted this separation by a high over-representation of genes related to GH/IGF system (ghr-i, igfbp6b, igfbp5b, insr, igfbp3, and igf-i). The third component (R2Y = 0.2542) discriminated the effect of stocking density in fish exposed to moderate hypoxia by means of hepatic fatty acid desaturases (fads2, scd1a, and scd1b) and muscle markers of fatty acid oxidation (cpt1a). All these findings disclose the different contribution of analyzed tissues (liver ¿ heart > muscle > blood) and specific genes to the hypoxic- and crowding stress-mediated responses. This study will contribute to better explain and understand the different stress resilience of farmed fish across individuals and species.-
dc.description.sponsorshipThis work has been carried out with financial support from the European Commission of the European Union, under the Horizon 2020 research infrastructure project AQUAEXCEL2020 (652831) to JP-S. This publication reflects the views only of the authors, and the European Commission cannot be held responsible for any use which may be made of the information contained therein. JM-S was funded by a Postdoctoral Research Fellowship (Juan de la Cierva-Formación, Reference FJCI-2014- 20161) and belongs to the Fish Welfare and Stress Network (AGL2016-81808-REDT) from the MINECO-
dc.languageeng-
dc.publisherFrontiers Media-
dc.relationinfo:eu-repo/grantAgreement/EC/H2020/652831-
dc.relationinfo:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/AGL2016-81808-REDT-
dc.relationinfo:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/FJCI-2014-20161-
dc.relation.isversionofPublisher's version-
dc.rightsopenAccess-
dc.subjectHematology-
dc.subjectHypoxia-
dc.subjectLimiting oxygen saturation-
dc.subjectSparus aurata-
dc.subjectStocking density-
dc.subjectTissue-specific transcriptomics-
dc.titleTissue-specific orchestration of oilthead sea bream resilience to hypoxia and high stocking density-
dc.typeartículo-
dc.identifier.doi10.3389/fphys.2019.00840-
dc.relation.publisherversionhttp://dx.doi.org/10.3389/fphys.2019.00840-
dc.date.updated2020-04-24T07:26:08Z-
dc.rights.licensehttp://creativecommons.org/licenses/by-nc-nd/4.0/-
dc.contributor.funderMinisterio de Economía y Competitividad (España)-
dc.contributor.funderEuropean Commission-
dc.relation.csic-
dc.identifier.funderhttp://dx.doi.org/10.13039/501100003329es_ES
dc.identifier.funderhttp://dx.doi.org/10.13039/501100000780es_ES
dc.contributor.orcidMartos-Sitcha, Juan Antonio [0000-0002-0151-7250]-
dc.identifier.pmid31354511-
dc.type.coarhttp://purl.org/coar/resource_type/c_6501es_ES
item.fulltextWith Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
item.grantfulltextopen-
item.openairetypeartículo-
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