Representing Organic Matter Thermodynamics in Biogeochemical Reactions via Substrate-Explicit Modeling

Representing Organic Matter Thermodynamics in Biogeochemical Reactions via Substrate-Explicit Modeling

Predictive biogeochemical modeling requires data-model integration that enables explicit representation of the sophisticated roles of microbial processes that transform substrates. Data from high-resolution organic matter (OM) characterization are increasingly available and can serve as a critical r...

Full description

Bibliographic Details
Main Authors: Hyun-Seob Song, James C. Stegen, Emily B. Graham, Joon-Yong Lee, Vanessa A. Garayburu-Caruso, William C. Nelson, Xingyuan Chen, J. David Moulton, Timothy D. Scheibe
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-10-01
Series:Frontiers in Microbiology
Subjects:
substrate-explicit modeling
microbial-explicit modeling
enzyme-explicit modeling
integrative biogeochemical modeling
high-resolution metabolomics
FTICR-MS
Online Access:https://www.frontiersin.org/articles/10.3389/fmicb.2020.531756/full

Internet

https://www.frontiersin.org/articles/10.3389/fmicb.2020.531756/full

Similar Items