Literature DB >> 24889864

Comparative analysis of chemical and microbial profiles in estuarine sediments sampled from Kanto and Tohoku regions in Japan.

Taiga Asakura1, Yasuhiro Date, Jun Kikuchi.   

Abstract

Estuarine environments accumulate large quantities of organic matter from land masses adjoining the sea, and this is consumed as part of the detritus cycle. These environments are rich in biodiversity, and their ecosystem services greatly benefit humans. However, the estuarine environments have complicated aqueous ecosystems, thus the comprehensive evaluation of biotic interactions and stability is difficult using conventional hypothesis-driven approaches. In this study, we describe the advancement of an evaluation strategy for characterizing and visualizing the interactions and relationships among the microorganisms and chemicals in sediment ecosystems of estuarine environments by a combination of organic matter and elemental profiling as well as microbial profiling. We also report our findings from a comparative analysis of estuarine and coastal environmental samples collected from the Kanto and Tsunami-affected Tohoku regions in Japan. The microbial-gated correlation deployed from the coefficient of microbiota from the correlation matrix and network analysis was able to visualize and summarize the different relationships among the microbial communities, sediment organic matter, and element profiles based on geographical differences in Kanto and Tohoku regions. We demonstrated remarkable estuarine eutrophication in the Kanto region based on abundant sediment polypeptide signals and water nitrogen ions catabolized by microbiota. Therefore, we propose that this data-driven approach is a powerful method for analyzing, visualizing, and evaluating complex metabolic dynamics and networks in sediment microbial ecosystems and can be applied to other environmental ecosystems, such as deep sea sediments and agronomic and forest soils.

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Year:  2014        PMID: 24889864     DOI: 10.1021/ac5005037

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  8 in total

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

Authors:  Daiki Yokoyama; Sosei Suzuki; Taiga Asakura; Jun Kikuchi
Journal:  ACS Omega       Date:  2022-04-07

2.  Biogeochemical typing of paddy field by a data-driven approach revealing sub-systems within a complex environment--a pipeline to filtrate, organize and frame massive dataset from multi-omics analyses.

Authors:  Diogo M O Ogawa; Shigeharu Moriya; Yuuri Tsuboi; Yasuhiro Date; Álvaro R B Prieto-da-Silva; Gandhi Rádis-Baptista; Tetsuo Yamane; Jun Kikuchi
Journal:  PLoS One       Date:  2014-10-20       Impact factor: 3.240

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

Authors:  Seiji Yoshida; Yasuhiro Date; Makiko Akama; Jun Kikuchi
Journal:  Sci Rep       Date:  2014-11-12       Impact factor: 4.379

4.  Trans-omics approaches used to characterise fish nutritional biorhythms in leopard coral grouper (Plectropomus leopardus).

Authors:  Miyuki Mekuchi; Kenji Sakata; Tomofumi Yamaguchi; Masahiko Koiso; Jun Kikuchi
Journal:  Sci Rep       Date:  2017-08-24       Impact factor: 4.379

5.  Application of kernel principal component analysis and computational machine learning to exploration of metabolites strongly associated with diet.

Authors:  Yuka Shiokawa; Yasuhiro Date; Jun Kikuchi
Journal:  Sci Rep       Date:  2018-02-21       Impact factor: 4.379

Review 6.  The exposome paradigm to predict environmental health in terms of systemic homeostasis and resource balance based on NMR data science.

Authors:  Jun Kikuchi; Shunji Yamada
Journal:  RSC Adv       Date:  2021-09-13       Impact factor: 4.036

7.  Chemical profiling of Jatropha tissues under different torrefaction conditions: application to biomass waste recovery.

Authors:  Taiji Watanabe; Amiu Shino; Kinya Akashi; Jun Kikuchi
Journal:  PLoS One       Date:  2014-09-05       Impact factor: 3.240

8.  Visualization of Microfloral Metabolism for Marine Waste Recycling.

Authors:  Tatsuki Ogura; Reona Hoshino; Yasuhiro Date; Jun Kikuchi
Journal:  Metabolites       Date:  2016-01-27
  8 in total

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