Literature DB >> 17298892

Protein metabolism in marine animals: the underlying mechanism of growth.

Keiron P P Fraser1, Alex D Rogers.   

Abstract

Growth is a fundamental process within all marine organisms. In soft tissues, growth is primarily achieved by the synthesis and retention of proteins as protein growth. The protein pool (all the protein within the organism) is highly dynamic, with proteins constantly entering the pool via protein synthesis or being removed from the pool via protein degradation. Any net change in the size of the protein pool, positive or negative, is termed protein growth. The three inter-related processes of protein synthesis, degradation and growth are together termed protein metabolism. Measurement of protein metabolism is vital in helping us understand how biotic and abiotic factors affect growth and growth efficiency in marine animals. Recently, the developing fields of transcriptomics and proteomics have started to offer us a means of greatly increasing our knowledge of the underlying molecular control of protein metabolism. Transcriptomics may also allow us to detect subtle changes in gene expression associated with protein synthesis and degradation, which cannot be detected using classical methods. A large literature exists on protein metabolism in animals; however, this chapter concentrates on what we know of marine ectotherms; data from non-marine ectotherms and endotherms are only discussed when the data are of particular relevance. We first consider the techniques available to measure protein metabolism, their problems and what validation is required. Protein metabolism in marine organisms is highly sensitive to a wide variety of factors, including temperature, pollution, seasonality, nutrition, developmental stage, genetics, sexual maturation and moulting. We examine how these abiotic and biotic factors affect protein metabolism at the level of whole-animal (adult and larval), tissue and cellular protein metabolism. Available gene expression data, which help us understand the underlying control of protein metabolism, are also discussed. As protein metabolism appears to comprise a significant proportion of overall metabolic costs in marine organisms, accurate estimates of the energetic cost per unit of synthesised protein are important. Measured costs of protein metabolism are reviewed, and the very high variability in reported costs highlighted. Two major determinants of protein synthesis rates are the tissue concentration of RNA, often expressed as the RNA to protein ratio, and the RNA activity (k(RNA)). The effects of temperature, nutrition and developmental stage on RNA concentration and activity are considered. This chapter highlights our complete lack of knowledge of protein metabolism in many groups of marine organisms, and the fact we currently have only limited data for animals held under a narrow range of experimental conditions. The potential assistance that genomic methods may provide in increasing our understanding of protein metabolism is described.

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Year:  2007        PMID: 17298892     DOI: 10.1016/S0065-2881(06)52003-6

Source DB:  PubMed          Journal:  Adv Mar Biol        ISSN: 0065-2881            Impact factor:   5.143


  26 in total

1.  Metabolic rate and rates of protein turnover in food-deprived cuttlefish, Sepia officinalis (Linnaeus 1758).

Authors:  Simon G Lamarre; Tyson J MacCormack; Antonio V Sykes; Jennifer R Hall; Ben Speers-Roesch; Neal I Callaghan; William R Driedzic
Journal:  Am J Physiol Regul Integr Comp Physiol       Date:  2016-04-06       Impact factor: 3.619

2.  Effect of protein synthesis inhibitor cycloheximide on starvation, fasting and feeding oxygen consumption in juvenile spiny lobster Sagmariasus verreauxi.

Authors:  Shuangyao Wang; Quinn P Fitzgibbon; Chris G Carter; Gregory G Smith
Journal:  J Comp Physiol B       Date:  2019-05-17       Impact factor: 2.200

3.  Muscle-specific RING finger (MuRF) cDNAs in Atlantic salmon (Salmo salar) and their role as regulators of muscle protein degradation.

Authors:  Luca Tacchi; Ralph Bickerdike; Christopher J Secombes; Samuel A M Martin
Journal:  Mar Biotechnol (NY)       Date:  2011-05-17       Impact factor: 3.619

4.  Bioenergetics of Arctic marine poikilothermic animals.

Authors:  L I Karamushko
Journal:  Dokl Biol Sci       Date:  2017-01-06

5.  Differences in mitochondrial efficiency explain individual variation in growth performance.

Authors:  Karine Salin; Eugenia M Villasevil; Graeme J Anderson; Simon G Lamarre; Chloé A Melanson; Ian McCarthy; Colin Selman; Neil B Metcalfe
Journal:  Proc Biol Sci       Date:  2019-08-21       Impact factor: 5.349

6.  Starvation alters the liver transcriptome of the innate immune response in Atlantic salmon (Salmo salar).

Authors:  Samuel A M Martin; Alex Douglas; Dominic F Houlihan; Christopher J Secombes
Journal:  BMC Genomics       Date:  2010-07-05       Impact factor: 3.969

7.  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
Journal:  Mar Biotechnol (NY)       Date:  2014-03-15       Impact factor: 3.619

8.  Different protein metabolic strategies for growth during food-induced physiological plasticity in echinoid larvae.

Authors:  Aimee Ellison; Amara Pouv; Douglas A Pace
Journal:  J Exp Biol       Date:  2021-02-24       Impact factor: 3.312

9.  Dietary tryptophan supplementation does not affect growth but increases brain serotonin level and modulates the expression of some liver genes in zebrafish (Danio rerio).

Authors:  Cláudia Teixeira; Pedro Rodrigues; Paula Serrão; Luís Figueira; Laura Guimarães; Luís Oliva Teles; Helena Peres; António Paulo Carvalho
Journal:  Fish Physiol Biochem       Date:  2021-08-09       Impact factor: 2.794

10.  Use of deuterium oxide (2H2O) to assess muscle protein synthesis in juvenile red drum (Sciaenops ocellatus) fed complete, and valine-deficient diets.

Authors:  Sergio Castillo; Fernando Y Yamamoto; Colleen O'Reilly; James D Fluckey; Delbert M Gatlin
Journal:  Amino Acids       Date:  2021-07-07       Impact factor: 3.520

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