Literature DB >> 25973714

Profiling planktonic biomass using element-specific, multicomponent nuclear magnetic resonance spectroscopy.

Takanori Komatsu1,2, Toshiya Kobayashi2, Minoru Hatanaka3, Jun Kikuchi1,2,4.   

Abstract

Planktonic metabolism plays crucial roles in Earth's elemental cycles. Chemical speciation as well as elemental stoichiometry is important for advancing our understanding of planktonic roles in biogeochemical cycles. In this study, a multicomponent solid-state nuclear magnetic resonance (NMR) approach is proposed for chemical speciation of cellular components, using several advanced NMR techniques. Measurements by ssNMR were performed on (13)C and (15)N-labeled Euglena gracilis, a flagellated protist. 3D dipolar-assisted rotational resonance, double-cross-polarization (1)H-(13)C correlation spectroscopy, and (1)H-(13)C solid-state heteronuclear single quantum correlation spectroscopy successively allowed characterization of cellular components. These techniques were then applied to E. gracilis cultured in high and low ammonium media to demonstrate the power of this method for profiling and comparing cellular components. Cellular NMR spectra indicated that ammonium induced both paramylon degradation and amination. Arginine was stored as a nitrogen reserve and ammonium replaced by arginine catabolism via the arginine dihydrolase pathway. (15)N and (31)P cellular ssNMR indicated arginine and polyphosphate accumulation in E. gracilis, respectively. This chemical speciation technique will contribute to environmental research by providing detailed information on environmental chemical properties.

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Year:  2015        PMID: 25973714     DOI: 10.1021/acs.est.5b00837

Source DB:  PubMed          Journal:  Environ Sci Technol        ISSN: 0013-936X            Impact factor:   9.028


  5 in total

1.  Analysis of Polycyclic Aromatic Hydrocarbon (PAH) Mixtures Using Diffusion-Ordered NMR Spectroscopy and Adsorption by Powdered Activated Carbon and Biochar.

Authors:  Dong An; Chengchen Guo; Yanan Chen
Journal:  Materials (Basel)       Date:  2018-03-21       Impact factor: 3.623

2.  Signal Deconvolution and Generative Topographic Mapping Regression for Solid-State NMR of Multi-Component Materials.

Authors:  Shunji Yamada; Eisuke Chikayama; Jun Kikuchi
Journal:  Int J Mol Sci       Date:  2021-01-22       Impact factor: 5.923

Review 3.  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

4.  Tracing and regulating redox homeostasis of model benthic ecosystems for sustainable aquaculture in coastal environments.

Authors:  Nobuaki Shono; Mana Ito; Akio Umezawa; Kenji Sakata; Ailong Li; Jun Kikuchi; Katsutoshi Ito; Ryuhei Nakamura
Journal:  Front Microbiol       Date:  2022-08-10       Impact factor: 6.064

5.  Metabolic Profiling of Intact Arabidopsis thaliana Leaves during Circadian Cycle Using 1H High Resolution Magic Angle Spinning NMR.

Authors:  D Augustijn; U Roy; R van Schadewijk; H J M de Groot; A Alia
Journal:  PLoS One       Date:  2016-09-23       Impact factor: 3.240

  5 in total

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