Back

Rapid assessment of nitrification inhibitor efficacy, competitiveness, and specificity using microrespirometry

Sedlacek, C. J.; Klawatsch, K.; Lang, B.; Atkinson, E.; Brandner, F.; Horuz, A.; Markesz, A.; Fuchslueger, L.; Giguere, A. T.; Pjevac, P.

2026-06-26 microbiology
10.64898/2026.06.25.734519 bioRxiv
Show abstract

Nitrification inhibitors are applied to reduce nitrogen losses and greenhouse gas emissions from fertilized agricultural ecosystems. However, their characterization is typically focused on determining effective inhibitor concentrations from growth or substrate conversion assays that are time-intensive and provide limited mechanistic resolution. Here, we present a microrespirometry (MR)-based workflow for rapid mechanistic characterization of nitrification inhibitors using oxygen consumption as a real-time readout for metabolic activity. The workflow enables the simultaneous assessment of inhibitor efficacy, competitiveness, and enzyme specificity within a single experimental setup, as sequential substrate and inhibitor additions enable direct discrimination between competitive and non-competitive inhibition and between ammonia monooxygenase-specific and broader respiratory inhibition. As a proof of concept, we evaluated three known nitrification inhibitors phenylacetylene (PA), nitrapyrin (NP), and dicyandiamide (DCD) using the ammonia-oxidizing bacteria Nitrosomonas europaea and Nitrosospira multiformis, the complete ammonia oxidizer Nitrospira inopinata, and the nitrite oxidizer Nitrospira moscoviensis. We also compared the results from the MR-based inhibition workflow with those from a conventional growth-based approach and observed a poor correlation between results for inhibitors that are not fully enzyme specific. In conclusion, this work establishes MR as a rapid and versatile platform for the mechanistic screening of novel potential nitrification inhibitors. MR assays reproduce known inhibitory responses while substantially reducing experimental time and increasing mechanistic resolution compared to other assays types. Additionally, we provide the first pure-culture characterization of PA, NP, and DCD efficacy and inhibition mechanisms in a complete ammonia oxidizer, N. inopinata.

Matching journals

The top 6 journals account for 50% of the predicted probability mass.

1
Applied and Environmental Microbiology
339 papers in training set
Top 0.3%
15.2%
2
Water Research
79 papers in training set
Top 0.2%
12.0%
3
ISME Communications
120 papers in training set
Top 0.2%
9.8%
4
Frontiers in Microbiology
427 papers in training set
Top 1%
7.3%
5
Microbiology Spectrum
469 papers in training set
Top 3%
4.4%
6
Environmental Science & Technology
64 papers in training set
Top 0.3%
4.4%
50% of probability mass above
7
Nature Communications
5641 papers in training set
Top 31%
4.4%
8
Microbial Biotechnology
34 papers in training set
Top 0.2%
3.5%
9
Scientific Reports
3612 papers in training set
Top 29%
3.5%
10
PLOS ONE
5266 papers in training set
Top 41%
2.7%
11
mSystems
394 papers in training set
Top 3%
2.7%
12
The ISME Journal
228 papers in training set
Top 2%
2.1%
13
Environmental Microbiology
133 papers in training set
Top 2%
1.9%
14
Science of The Total Environment
186 papers in training set
Top 2%
1.7%
15
Microbiome
154 papers in training set
Top 2%
1.4%
16
New Phytologist
346 papers in training set
Top 4%
1.1%
17
Frontiers in Bioengineering and Biotechnology
98 papers in training set
Top 2%
0.9%
18
npj Systems Biology and Applications
125 papers in training set
Top 2%
0.9%
19
Environmental Science: Water Research & Technology
13 papers in training set
Top 0.2%
0.9%
20
mBio
833 papers in training set
Top 11%
0.9%
21
Journal of Applied Microbiology
20 papers in training set
Top 0.9%
0.6%
22
BMC Microbiology
49 papers in training set
Top 2%
0.6%
23
ACS Synthetic Biology
287 papers in training set
Top 3%
0.6%
24
mSphere
302 papers in training set
Top 7%
0.6%