4.7 Article

Comparative metabolomic and ionomic approach for abundant fishes in estuarine environments of Japan

Journal

SCIENTIFIC REPORTS
Volume 4, Issue -, Pages -

Publisher

NATURE PUBLISHING GROUP
DOI: 10.1038/srep07005

Keywords

-

Funding

  1. Ministry of Education, Culture, Sports, Science, and Technology, Japan
  2. Grants-in-Aid for Scientific Research [25513012] Funding Source: KAKEN

Ask authors/readers for more resources

Environmental metabolomics or ionomics is widely used to characterize the effects of environmental stressors on the health of aquatic organisms. However, most studies have focused on liver and muscle tissues of fish, and little is known about how the other organs are affected by environmental perturbations and effects such as metal pollutants or eutrophication. We examined the metabolic and mineral profiles of three kinds of abundant fishes in estuarine ecosystem, yellowfin goby, urohaze-goby, and juvenile Japanese seabass sampled from Tsurumi River estuary, Japan. Multivariate analyses, including nuclear magnetic resonance-based metabolomics and inductively coupled plasma optical emission spectrometry-based ionomics approaches, revealed that the profiles were clustered according to differences among body tissues rather than differences in body size, sex, and species. The metabolic and mineral profiles of the muscle and fin tissues, respectively, suggest that these tissues are most appropriate for evaluating environmental perturbations. Such analyses will be highly useful in evaluating the environmental variation and diversity in aquatic ecosystems.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

Article Plant Sciences

Enhancement of Secondary Cell Wall Formation in Poplar Xylem Using a Self-Reinforced System of Secondary Cell Wall-Related Transcription Factors

Yoshimi Nakano, Hitoshi Endo, Lorenz Gerber, Chiaki Hori, Ayumi Ihara, Masayo Sekimoto, Tomoko Matsumoto, Jun Kikuchi, Misato Ohtani, Taku Demura

Summary: Researchers have developed a self-reinforced system to enhance the formation of secondary cell walls (SCW) in poplar xylem. By using transcription factors fused with specific gene promoters, the expression levels of SCW-related genes were increased, resulting in enhanced SCW thickening in transgenic plants. Furthermore, this method was found to affect the properties of cell walls.

FRONTIERS IN PLANT SCIENCE (2022)

Article Chemistry, Multidisciplinary

Chemometric Analysis of NMR Spectra and Machine Learning to Investigate Membrane Fouling

Daiki Yokoyama, Sosei Suzuki, Taiga Asakura, Jun Kikuchi

Summary: Efficient membrane filtration requires understanding the membrane foulants and the functional properties of different membrane types. This study used chemical analysis and modeling techniques to investigate membrane foulants and classify the effect of different membrane materials on filtration performance.

ACS OMEGA (2022)

Article Biotechnology & Applied Microbiology

Noninvasive fecal metabolic profiling for the evaluation of characteristics of thermostable lactic acid bacteria, Weizmannia coagulans SANK70258, for broiler chickens

Kayo Ito, Hirokuni Miyamoto, Makiko Matsuura, Chitose Ishii, Arisa Tsuboi, Naoko Tsuji, Teruno Nakaguma, Yumiko Nakanishi, Tamotsu Kato, Wataru Suda, Fuyuko Honda, Toshiyuki Ito, Shigeharu Moriya, Hideaki Shima, Ryounosuke Michibata, Ryouichi Yamada, Yosuke Takahashi, Hirohisa Koga, Hiroaki Kodama, Yuko Watanabe, Jun Kikuchi, Hiroshi Ohno

Summary: This study evaluated the composition of fecal metabolites in broiler chickens continuously administered with W. coagulans SANK70258 and found that this bacterial strain can significantly modulate the gut metabolism of the chickens. The levels of short-chain fatty acids propionate and butyrate in the feces of the chickens were increased, while acetate and lactate levels were reduced. In addition, the levels of carbohydrates that are substrates for SCFA production also increased, and the correlation between metabolites changed. Enrichment pathway analysis revealed the activation of metabolic pathways related to SCFAs, amino acids, and energy.

JOURNAL OF BIOSCIENCE AND BIOENGINEERING (2022)

Article Environmental Sciences

Computational estimation of sediment symbiotic bacterial structures of seagrasses overgrowing downstream of onshore aquaculture

Hirokuni Miyamoto, Nobuhiro Kawachi, Atsushi Kurotani, Shigeharu Moriya, Wataru Suda, Kenta Suzuki, Makiko Matsuura, Naoko Tsuji, Teruno Nakaguma, Chitose Ishii, Arisa Tsuboi, Chie Shindo, Tamotsu Kato, Motoaki Udagawa, Takashi Satoh, Satoshi Wada, Hiroshi Masuya, Hisashi Miyamoto, Hiroshi Ohno, Jun Kikuchi

Summary: Coastal aquaculture significantly impacts the distribution of seagrass and seaweed. A study found an exceptional area near the onshore aquaculture facility where seagrass thrives. The sediment in this area is suitable for seagrass growth and harbors beneficial bacterial populations. These findings have important implications for the conservation of coastal ecosystems and blue carbon.

ENVIRONMENTAL RESEARCH (2023)

Article Computer Science, Interdisciplinary Applications

Dynamics of a stochastic non-autonomous phytoplankton-zooplankton system involving toxin-producing phytoplankton and impulsive perturbations

He Liu, Chuanjun Dai, Hengguo Yu, Qing Guo, Jianbing Li, Aimin Hao, Jun Kikuchi, Min Zhao

Summary: This paper presents an analytical and numerical investigation of a stochastic non-autonomous phytoplankton-zooplankton system with toxin-producing phytoplankton (TPP) and impulsive perturbations. The study examines the impact of white noise, impulsive perturbations, and TPP on the system dynamics. Mathematical derivations are used to analyze threshold conditions for the existence of global positive solution, population extinction, and persistence in the mean. The results demonstrate the effects of white noise, impulsive control parameter, and toxin liberation rate on population extinction and persistence in the mean. The findings contribute to a better understanding of the dynamics of aquatic ecosystems in fluctuating environments.

MATHEMATICS AND COMPUTERS IN SIMULATION (2023)

Article Biochemistry & Molecular Biology

An evaluation of homeostatic plasticity for ecosystems using an analytical data science approach

Hirokuni Miyamoto, Jun Kikuchi

Summary: The natural world is undergoing constant changes, with planetary boundaries warning about biodiversity and the cycles of carbon, nitrogen, and phosphorus. Furthermore, social issues like global warming and food shortages are spreading across different fields. These seemingly unrelated problems are closely interconnected, but a comprehensive understanding is still a work in progress. However, advancements in analytical technologies, such as next-generation sequencers (NGS) and mass spectrometry, have made it possible to obtain various forms of molecular information. Additionally, the development of environmental analytical instruments and measurement facilities have increased the availability of data for different environmental factors. Computational science plays a vital role in integrating and understanding these disparate data sets through techniques like machine learning and statistical causal inference.

COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL (2023)

Article Chemistry, Analytical

Volatile Organic Compound Detection by Graphene Field-Effect Transistors Functionalized with Fly Olfactory Receptor Mimetic Peptides

Tharatorn Rungreungthanapol, Chishu Homma, Ken-ichi Akagi, Masayoshi Tanaka, Jun Kikuchi, Hideyuki Tomizawa, Yoshiaki Sugizaki, Atsunobu Isobayashi, Yuhei Hayamizu, Mina Okochi

Summary: Researchers designed an olfactory receptor mimetic peptide-modified graphene field-effect transistor (gFET) to address the low specificity challenge of graphene-based sensors for volatile organic compound (VOC) sensing. Peptides mimicking a fruit fly olfactory receptor were designed using a high-throughput analysis method and successfully achieved sensitive and selective detection of limonene. The peptide probe was bifunctionalized and facilitated facile sensor functionalization. This study demonstrates the advancement of a precise VOC detection system using a target-specific peptide selection and functionalization strategy for gFET sensors.

ANALYTICAL CHEMISTRY (2023)

Article Biochemical Research Methods

Polymer composition optimization approach based on feature extraction of bound and free water using time-domain nuclear magnetic resonance

Shunji Yamada, Yuuri Tsuboi, Daiki Yokoyama, Jun Kikuchi

Summary: As the focus on global environmental sustainability grows, the development of ecofriendly materials, including addressing the issue of marine plastics, is flourishing. The vast parameter space of materials poses a challenge for efficient search. Time-domain nuclear magnetic resonance offers a way to gather information about material properties through complex T2 relaxation curves. In this research, we used a pulse sequence to assess water affinity in polymers and evaluated their relaxation properties using various techniques. By separating the relaxation curves and utilizing polymer properties, we developed a method to optimize polymer composition for desired water affinity and rigidity.

JOURNAL OF MAGNETIC RESONANCE (2023)

Article Multidisciplinary Sciences

Estimation of silent phenotypes of calf antibiotic dysbiosis

Shunnosuke Okada, Yudai Inabu, Hirokuni Miyamoto, Kenta Suzuki, Tamotsu Kato, Atsushi Kurotani, Yutaka Taguchi, Ryoichi Fujino, Yuji Shiotsuka, Tetsuji Etoh, Naoko Tsuji, Makiko Matsuura, Arisa Tsuboi, Akira Saito, Hiroshi Masuya, Jun Kikuchi, Yuya Nagasawa, Aya Hirose, Tomohito Hayashi, Hiroshi Ohno, Hideyuki Takahashi

Summary: Reducing antibiotic usage among livestock animals to prevent antimicrobial resistance has become an urgent issue worldwide. This study evaluated the effects of administering chlortetracycline (CTC), a versatile antibacterial agent, on the performance, blood components, fecal microbiota, and organic acid concentrations of calves. The results showed that CTC administration had an impact on the correlation between fecal organic acids and bacterial genera, and also affected the populations of various types of fecal bacteria.

SCIENTIFIC REPORTS (2023)

Article Chemistry, Multidisciplinary

Prediction of Influence Transmission by Water Temperature of Fish Intramuscular Metabolites and Intestinal Microbiota Factor Cascade Using Bayesian Networks

Hideaki Shima, Kenji Sakata, Jun Kikuchi

Summary: Aquaculture is being acknowledged as a solution to the global food problem. This study focuses on the impact of fish and their environment on the stability and quality of fish meat. Nuclear magnetic resonance is used to non-destructively acquire metabolite information, while machine learning and artificial neural network analysis provide comprehensive analysis. It was found that the antioxidant anserine is reduced in fish muscles at low water temperature, affecting other metabolites. The relationship between water temperature and fish intestinal microbiota was also established.

APPLIED SCIENCES-BASEL (2023)

Article Environmental Sciences

Inferring microbial community assembly in an urban river basin through geo-multi-omics and phylogenetic bin-based null-model analysis of surface water

Daiki Yokoyama, Jun Kikuchi

Summary: In this study, the assembly processes of particle-associated and free-living surface water microbiomes in an urban river in Japan were analyzed. The variation in microbiomes was successfully explained by environmental factors, such as organic matter, nitrogen metabolism, and salinity. The study also revealed the dominance of stochastic processes over deterministic processes in community assembly, and the potential enhanced contribution of heterogeneous selection to community assembly in areas with salinity gradient.

ENVIRONMENTAL RESEARCH (2023)

Article Environmental Sciences

Bayesian network highlights the contributing factors for efficient arsenic phytoextraction by Pteris vittata in a contaminated field

Hiroshi Kudo, Ning Han, Daiki Yokoyama, Tomoko Matsumoto, Mei-Fang Chien, Jun Kikuchi, Chihiro Inoue

Summary: Phytoextraction is a cost-effective and eco-friendly method for removing pollutants from contaminated soil. Bayesian network analysis revealed that the microbial strain Pseudomonas sp. m307 and MND1 order microbes positively contribute to arsenic accumulation in P. vittata.

SCIENCE OF THE TOTAL ENVIRONMENT (2023)

Article Ecology

An agroecological structure model of compost-soil-plant interactions for sustainable organic farming

Hirokuni Miyamoto, Katsumi Shigeta, Wataru Suda, Yasunori Ichihashi, Naoto Nihei, Makiko Matsuura, Arisa Tsuboi, Naoki Tominaga, Masahiko Aono, Muneo Sato, Shunya Taguchi, Teruno Nakaguma, Naoko Tsuji, Chitose Ishii, Teruo Matsushita, Chie Shindo, Toshiaki Ito, Tamotsu Kato, Atsushi Kurotani, Hideaki Shima, Shigeharu Moriya, Satoshi Wada, Sankichi Horiuchi, Takashi Satoh, Kenichi Mori, Takumi Nishiuchi, Hisashi Miyamoto, Hiroaki Kodama, Masahira Hattori, Hiroshi Ohno, Jun Kikuchi, Masami Yokota Hirai

Summary: The study investigated the effects of compost on the growth and quality of carrots and the soil bacterial composition. The results showed that exposure to compost significantly improved carrot productivity, antioxidant activity, color, and taste. It also altered the soil bacterial composition and influenced the levels of characteristic metabolites. Structural equation modeling revealed the optimal linkages between amino acids, antioxidant activity, flavonoids and/or carotenoids in plants, and the involvement of Paenibacillus genus and nitrogen compounds in the soil during exposure to compost. These findings suggest the presence of a complex cascade of plant growth-promoting effects and modulation of the nitrogen cycle by compost.

ISME COMMUNICATIONS (2023)

Article Ecology

Large-scale omics dataset of polymer degradation provides robust interpretation for microbial niche and succession on different plastisphere

Daiki Yokoyama, Ayari Takamura, Yuuri Tsuboi, Jun Kikuchi

Summary: In this study, the authors compared the microbiomes and degradation processes of different biodegradable polymers using prompt evaluation systems. They found differences in the microbial community compositions among the polymer materials, with the largest differences observed in one particular polymer material, PHBH. Time-series sampling showed several stages of microbial succession during polymer degradation. Metagenome prediction revealed functional changes, including the adhesion of free-swimming microbes onto the polymer and the formation of a biofilm by certain microbes.

ISME COMMUNICATIONS (2023)

Correction Plant Sciences

Tuning water-use efficiency and drought tolerance in wheat using abscisic acid receptors(vol 5, pg 153, 2019)

Ryosuke Mega, Fumitaka Abe, June-Sik Kim, Yuuri Tsuboi, Keisuke Tanaka, Hisato Kobayashi, Yoichi Sakata, Kousuke Hanada, Hisashi Tsujimoto, Jun Kikuchi, Sean R. Cutler, Masanori Okamoto

NATURE PLANTS (2023)

No Data Available