Abstract
Lakewater microorganisms secrete proteases which contribute to the turnover of dissolved organic matter and the degradation of peptidic contaminants. However, little is known about the identities and substrate specificities of these proteases. Herein, we sought to characterize the global proteolytic fingerprint of the extracellular proteases present in Lake Geneva, the largest freshwater body in Central Europe. Using Multiplex Substrate Profiling by Mass Spectrometry (MSP-MS), we identified preferred enzymatic cleavage next to positively charged and certain nonpolar amino acids, while cleavage next to negatively charged residues was disfavored. Specifically, the detected dominant cleavage sites were surrounded by arginine and lysine, consistent with a trypsin-like substrate specificity. This pattern was conserved across seasons and water depths and was shared with two other Swiss lakes. In contrast, we observed variability in the numbers and types of less prevalent cleavage sites across samples, suggesting that the degree of heterogeneity in proteolytic substrate specificity varies spatially and temporally. Using class-specific inhibitors, we found that serine and metalloproteases contribute to both exo- and endoproteolytic activity in lakewater. Our findings expand our understanding of protein stability in lake ecosystems and may be used to predict the fate of peptidic contaminants in the environment.
| Original language | English |
|---|---|
| Pages (from-to) | 27811-27823 |
| Number of pages | 13 |
| Journal | Environmental Science & Technology |
| Volume | 59 |
| Issue number | 51 |
| DOIs | |
| Publication status | Published - 16 Dec 2025 |
Funding
This work was funded by the Swiss National Science Foundation (grant no. 310030 215226). N.W. was funded by the Swiss National Science Foundation through the Ambizione Fellowship PZ00P2_193130 to M.Z. A.A.-C. was supported by the Swiss National Science Foundation through the Water4all grant 20WA21_216704. We thank Professor Anthony O’Donoghue and Diego Trujillo (O’Donoghue laboratory, University of California San Diego) for providing information on and the R scripts for the MSP-MS assay data analysis.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 15 Life on Land
Austrian Fields of Science 2012
- 105906 Environmental geosciences
Keywords
- proteolytic fingerprint
- substrate specificity
- extracellular protease
- lakewater
- Multiplex Substrate Profiling by Mass Spectrometry
- protein degradation
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