Does It Pay Off to Explicitly Link Functional Gene Expression to Denitrification Rates in Reaction Models?

ABSTRACT: Environmental omics and molecular-biological data have been proposed to yield improved quantitative predictions of biogeochemical processes. The abundances of functional genes and transcripts relate to the number of cells and activity of microorganisms. However, whether molecular-biological data can be quantitatively linked to reaction rates remains an open question. We present an enzyme-based denitrification model that simulates concentrations of transcription factors, functional-gene transcripts, enzymes, and solutes. We calibrated the model using experimental data from a well-controlled batch experiment with the denitrifier Paracoccous denitrificans. The model accurately predicts denitrification rates and measured transcript dynamics. The relationship between simulated transcript

SUBMITTER: Storiko A 

PROVIDER: S-EPMC8250433 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature