2019
DOI: 10.1016/j.mri.2019.06.003
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In vivo 31P-MRS of muscle bioenergetics in marine invertebrates: Future ocean limits scallops' performance

Abstract: Object: Dynamic in vivo 31 P-NMR spectroscopy in combination with Magnetic Resonance Imaging (MRI) was used to study muscle bioenergetics of boreal and Arctic scallops (Pecten maximus and Chlamys islandica) to test the hypothesis that future Ocean Warming and Acidification (OWA) will impair the performance of marine invertebrates. Materials & methods: Experiments were conducted following the recommendations for studies of muscle bioenergetics in vertebrates. Animals were long-term incubated under different env… Show more

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Cited by 8 publications
(11 citation statements)
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“…In the present study, a retrospective metabolomic analysis using 1 H-HRMAS NMR spectroscopy was conducted using tissue samples of the king scallop, Pecten maximus, from long-term incubation experiments. Our aim was to gain a better understanding of the cellular mechanisms that respond to ocean warming (OW) and acidification (OWA) in scallops, and to relate the observed changes in metabolic pathways to the reduction in swimming performance (Schalkhausser et al, 2013, Schalkhausser et al, 2014Bock et al, 2019).…”
Section: Discussionmentioning
confidence: 99%
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“…In the present study, a retrospective metabolomic analysis using 1 H-HRMAS NMR spectroscopy was conducted using tissue samples of the king scallop, Pecten maximus, from long-term incubation experiments. Our aim was to gain a better understanding of the cellular mechanisms that respond to ocean warming (OW) and acidification (OWA) in scallops, and to relate the observed changes in metabolic pathways to the reduction in swimming performance (Schalkhausser et al, 2013, Schalkhausser et al, 2014Bock et al, 2019).…”
Section: Discussionmentioning
confidence: 99%
“…In combination with a significant increase in respiration rate at 20°C, the nearly 50% reduction in P e O 2 indicated that P. maximus had surpassed its optimal temperature range and was exhibiting a progressive warming-induced mismatch between aerobic energy supply and demand (Pörtner et al, 2017). In a subsequent study on P. maximus exposed long-term to OW (20°C, 0.04 kPa PCO 2 ) and OWA (20°C, 0.112 kPa PCO 2 ; Bock et al, 2019), we investigated the availability of energy-rich phosphates, in particular PLA and inorganic phosphate (Pi) using in vivo 31 P NMR spectroscopy and calculated the mitochondrial maximum surplus oxidative flux of the phasic muscle. In both OW-and OWA-exposed scallops, PLA and maximum surplus oxidative flux of phasic muscle were reduced, which was attributed to the lower P e O 2 in the haemolymph found in OW-and OWA-exposed scallops described in Schalkhausser et al (2014).…”
Section: Previous Observations On Scallops Swimming Performancementioning
confidence: 93%
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“…This technique is a non-invasive, ionizing-radiation-free analytical technique that has been used to study metabolic changes in human patients in the last century (Lauterbur et al, 1980;Bell and Bhakoo, 1998). However, developments have been made in marine ecology and comparative physiology, more particularly, in the assessment of physiological (energetic) status of marine organisms, such as mollusks or fish, under changing environmental conditions (Bock et al, 2002(Bock et al, , 2019. Mainly, two in vivo techniques have been used: proton magnetic resonance spectroscopy ( 1 H-MRS) and 31 P magnetic Resonance Spectroscopy ( 31 P-MRS).…”
Section: Integration Of Stress/energy Biomarkers With Radiotracer Contaminant Studiesmentioning
confidence: 99%
“…The most important are the high-energy phosphates, ATP and phosphagen (creatine phosphate or phospho-l-arginine) and their end product, inorganic phosphate, to address the energy status. Furthermore, the 31 P-NMR signal of inorganic phosphate can be used to follow acid-base regulation of cells and tissues in the same spectrum (Bock et al, 2019). Recently, in vivo 13 C-NMR spectroscopy was introduced to study metabolic pathways in marine organisms under environmental stress (Tikunov et al, 2014).…”
Section: Integration Of Stress/energy Biomarkers With Radiotracer Contaminant Studiesmentioning
confidence: 99%