1H NMR-based metabolomics studies on the effect of sesamin in Atlantic salmon (Salmo salar)

Aquaculture production is currently challenged to meet the growing demands for seafood protein throughout the world. To achieve this growth in an efficient, safe and sustainable manner, novel tools and applications will need to be incorporated at each step of the production line. A variety of 'omics' (e.g., transcriptomics, proteomics, metabolomics) applications have already begun to emerge in aquaculture research with extreme success. A promising new 'omics' approach is metabolomics, which aims to use metabolite profiles to identify biomarkers indicative of physiological responses of living samples (e.g., whole organism, tissues, cells) to environmental or culture conditions. One of the benefits of this approach is that it uses a broad scan of biological conditions to identify often unexpected problem or risk areas to focus management attention. In this contribution, we have selected relevant research examples to showcase the applications of metabolomics in aquaculture in four major areas: hatchery production, nutrition and diet, disease and immunology, and food safety and quality. The novelty of this approach is highlighted by the fact that we have cited the majority of published papers in this field, and these are all recent (within the last decade) contributions.

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“…; Wagner et al . ); effects of dietary protein substitution and utilization in salmon and carp (Bankefors et al . ; Jin et al .…”

Section: Metabolomics Applications In Aquaculturementioning

confidence: 99%

Showcasing metabolomic applications in aquaculture: a review

Young

Alfaro

2016

Reviews in Aquaculture

132

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“…For example, to evaluate the inuence of environmental chemicals in sh habitats, exposure experiments were performed using laboratory animals, such as Japanese killish, fathead minnow, [11][12][13] and other sh species. [13][14][15] In these analyses, many analytical techniques were crucial for evaluating the relationships between sh metabolism/physiology/ecology and their environments, e.g., gene expression analysis by transcriptome sequencing, 16,17 phylogenetic analysis, [18][19][20] microbiota analysis in the gut 6,21,22 and sediment, 9,23 and metabolomics. [24][25][26][27][28] In particular, the nuclear magnetic resonance (NMR)-based metabolomic technique offers a high throughput, easy sample preparation, and inter-institution convertibility.…”

Section: Introductionmentioning

confidence: 99%

Regional feature extraction of various fishes based on chemical and microbial variable selection using machine learning

et al. 2018

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We introduce a method for extracting regional and habitat features of various fish species based on chemical and microbial correlations that incorporate integrated analysis and a variable selection approach. We characterized 24 fish species from two marine regions in Japan, in terms of the metabolic and inorganic profiles of muscle and gut contents, as well as gut microbes. Using machine learning, the integrated analysis based on the metabolic, inorganic, and microbial profiles of muscle and gut contents allows the characterization of both the fish species and habitat regions. The results revealed that the fish muscle tissue profile provides high-value data for evaluating ecosystems and discriminating fish populations based on species and regions. To visualize the regionality and habitat, we developed a method to efficiently extract the most important variables using the machine learning approach, followed by correlation analysis of variations in muscle and gut content profiles. The correlation networks enabled efficient visualization of marine ecosystems in the Tohoku and Kanto regions of Japan. This method should be useful for evaluating fish habitats and elucidating associated environmental chemical networks.

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“…This NMR-based metabolomic approach is also valuable in aquatic ecosystems for studying the environmental effects of pharmaceuticals and other chemicals on fishes (Samuelsson et al, 2011; Samuelsson et al, 2006; Samuelsson & Larsson, 2008). Such studies have contributed knowledge of basic physiology and development of fish, disease, water pollution, and other aspects (Bilandzic, Dokic & Sedak, 2011; Dove et al, 2012; Picone et al, 2011; Southam et al, 2008; Southam et al, 2011; Wagner et al, 2014; Williams et al, 2009). Fish symbiotic ecosystems, however, are rarely investigated, so little information is available concerning metabolic variations associated with fluctuations in microbial composition and structures in diverse fish species affected by the crosstalk between hosts and their microbial symbionts.…”

Section: Introductionmentioning

confidence: 99%

Noninvasive analysis of metabolic changes following nutrient input into diverse fish species, as investigated by metabolic and microbial profiling approaches

Asakura

Sakata

Yoshida

et al. 2014

PeerJ

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An NMR-based metabolomic approach in aquatic ecosystems is valuable for studying the environmental effects of pharmaceuticals and other chemicals on fish. This technique has also contributed to new information in numerous research areas, such as basic physiology and development, disease, and water pollution. We evaluated the microbial diversity in various fish species collected from Japan’s coastal waters using next-generation sequencing, followed by evaluation of the effects of feed type on co-metabolic modulations in fish-microbial symbiotic ecosystems in laboratory-scale experiments. Intestinal bacteria of fish in their natural environment were characterized (using 16S rRNA genes) for trophic level using pyrosequencing and noninvasive sampling procedures developed to study the metabolism of intestinal symbiotic ecosystems in fish reared in their environment. Metabolites in feces were compared, and intestinal contents and feed were annotated based on HSQC and TOCSY using SpinAssign and network analysis. Feces were characterized by species and varied greatly depending on the feeding types. In addition, feces samples demonstrated a response to changes in the time series of feeding. The potential of this approach as a non-invasive inspection technique in aquaculture is suggested.

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1H NMR-based metabolomics studies on the effect of sesamin in Atlantic salmon (Salmo salar)

Cited by 74 publications

References 29 publications

Showcasing metabolomic applications in aquaculture: a review

Showcasing metabolomic applications in aquaculture: a review

Regional feature extraction of various fishes based on chemical and microbial variable selection using machine learning

Noninvasive analysis of metabolic changes following nutrient input into diverse fish species, as investigated by metabolic and microbial profiling approaches

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