Evidence map›Paper›PMID 29046664›Full record

ArticleFrontiers in microbiology2017

Regulation-Structured Dynamic Metabolic Model Provides a Potential Mechanism for Delayed Enzyme Response in Denitrification Process.

Hyun-Seob Song, Dennis G Thomas, James C Stegen, Minjing Li, Chongxuan Liu, Xuehang Song, Xingyuan Chen, Jim K Fredrickson, John M Zachara, Timothy D Scheibe

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Hyun-Seob SongPacific Northwest National Laboratory, Richland, WA, United States.
Dennis G ThomasPacific Northwest National Laboratory, Richland, WA, United States.
James C StegenPacific Northwest National Laboratory, Richland, WA, United States.
Minjing LiPacific Northwest National Laboratory, Richland, WA, United States.
Chongxuan LiuPacific Northwest National Laboratory, Richland, WA, United States.
Xuehang SongPacific Northwest National Laboratory, Richland, WA, United States.
Xingyuan ChenPacific Northwest National Laboratory, Richland, WA, United States.
Jim K FredricksonPacific Northwest National Laboratory, Richland, WA, United States.
John M ZacharaPacific Northwest National Laboratory, Richland, WA, United States.
Timothy D ScheibePacific Northwest National Laboratory, Richland, WA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In a recent study of denitrification dynamics in hyporheic zone sediments, we observed a significant time lag (up to several days) in enzymatic response to the changes in substrate concentration. To explore an underlying mechanism and understand the interactive dynamics between enzymes and nutrients, we developed a trait-based model that associates a community's traits with functional enzymes, instead of typically used species guilds (or functional guilds). This enzyme-based formulation allows to collectively describe biogeochemical functions of microbial communities without directly parameterizing the dynamics of species guilds, therefore being scalable to complex communities. As a key component of modeling, we accounted for microbial regulation occurring through transcriptional and translational processes, the dynamics of which was parameterized based on the temporal profiles of enzyme concentrations measured using a new signature peptide-based method. The simulation results using the resulting model showed several days of a time lag in enzymatic responses as observed in experiments. Further, the model showed that the delayed enzymatic reactions could be primarily controlled by transcriptional responses and that the dynamics of transcripts and enzymes are closely correlated. The developed model can serve as a useful tool for predicting biogeochemical processes in natural environments, either independently or through integration with hydrologic flow simulators.

Indexed as

denitrificationenvironmental microbial communityfunctional enzyme-based modelinghyporheic zonenitrogen cyclethe cybernetic approachtrait-based modeling

Identifiers

PMID29046664
PMCPMC5627231

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.