posters 5th Asia-Pacific NMR Symposium 2013

Chemical profiling with NMR-based chemical diversity index in deep-sea, neritic, and estuarine sediments (#114)

Yasuhiro Date 1 2 , Taiga Asakura 1 , Yuuri Tsuboi 2 , Kenji Sakata 2 , Takao Yoshida 3 , Tadashi Maruyama 3 , Jun Kikuchi 1 2 4 5
  1. Graduate School of Medical Life Science, Yokohama City University, Yokohama, Kanagawa, Japan
  2. RIKEN Center for Sustainable Resource Science, Yokohama, Kanagawa, Japan
  3. Marine Biodiversity Research Program, JAMSTEC, Yokosuka, Kanagawa, Japan
  4. Biomass Engineering Program, RIKEN Research Cluster for Innovation, Yokohama, Kanagawa, Japan
  5. Graduate School of Bioagricultural Sciences, Nagoya University, Nagoya, Aichi, Japan
The oceans cover over two-thirds of our planet with an average depth of about 3,800 m. The deep-sea area which occupies the great portion of the oceans is basically nutrient-poor environment but has an important food source provided by a continuous shower of marine snow consisted of mostly organic detritus falling from the upper layers of the water column. However, little information about complex forms, structures, and compositions of chemical mixtures in the organic components deposited into the deep-sea sediments by downwelling of the marine snow is available. In addition, it is eagerly anticipated to reveal the mechanisms of the degradation, metabolism, and regeneration processes of the deposited organic components and their relations to complex microbial ecosystems responsible for the processes. Here we characterized and evaluated the chemical profiles in deep-sea sediments collected at about 1000 m depth in Sagami bay using NMR-based metabolomics approach, inductively-coupled plasma optical emission spectrometry (ICP-OES)-based ionomic analysis, and pyrosequencing-based communitomics approach. The evaluation of digitized and statistically computed NMR spectra was capable to capture the differences and characteristics of organic compositions and their complex chemical forms in individual sampling points including deep-sea, neritic, and estuarine sediments. In addition, an evaluation approach for chemical diversity based on the NMR spectral data was developed by modification and optimization of the concept of “diversity index” in the field of ecology. Furthermore, chemical diversities inversely related with microbial diversities in deep-sea sediment were revealed by correlation analysis between chemical diversity index based on the NMR spectra and microbial diversity index based on the pyrosequencing analysis data.