期刊
FRONTIERS IN ENVIRONMENTAL SCIENCE
卷 9, 期 -, 页码 -出版社
FRONTIERS MEDIA SA
DOI: 10.3389/fenvs.2021.649905
关键词
soil metabolome; volatilome; volatile organic compounds; soil microbial processes; GC-MS; FT-ICR-MS; PTR-TOF-MS; metabolomics
资金
- Biosphere 2 through the office of the Senior Vice President for Research Innovation and Impact at the University of Arizona
- National Science Foundation [2034192]
- Division Of Environmental Biology
- Direct For Biological Sciences [2034192] Funding Source: National Science Foundation
The study suggests that undetected compounds in soil may have higher volatility compared to detected compounds, indicating potential oversight of VOCs in typical soil metabolomic analytical techniques. This could lead to missing links in metabolic pathways and emphasize the importance of considering biases in research design and interpretation, or incorporating direct online measurement methods to capture the role of VOCs in soil systems.
Soils harbor complex biological processes intertwined with metabolic inputs from microbes and plants. Measuring the soil metabolome can reveal active metabolic pathways, providing insight into the presence of specific organisms and ecological interactions. A subset of the metabolome is volatile; however, current soil studies rarely consider volatile organic compounds (VOCs), contributing to biases in sample processing and metabolomic analytical techniques. Therefore, we hypothesize that overall, the volatility of detected compounds measured using current metabolomic analytical techniques will be lower than undetected compounds, a reflection of missed VOCs. To illustrate this, we examined a peatland metabolomic dataset collected using three common metabolomic analytical techniques: nuclear magnetic resonance (NMR), gas chromatography-mass spectroscopy (GC-MS), and fourier-transform ion cyclotron resonance mass spectrometry (FT-ICR-MS). We mapped the compounds to three metabolic pathways (monoterpenoid biosynthesis, diterpenoid biosynthesis, and polycyclic aromatic hydrocarbon degradation), chosen for their activity in peatland ecosystems and involvement of VOCs. We estimated the volatility of the compounds by calculating relative volatility indices (RVIs), and as hypothesized, the average RVI of undetected compounds within each of our focal pathways was higher than detected compounds (p < 0.001). Moreover, higher RVI compounds were absent even in sub-pathways where lower RVI compounds were observed. Our findings suggest that typical soil metabolomic analytical techniques may overlook VOCs and leave missing links in metabolic pathways. To more completely represent the volatile fraction of the soil metabolome, we suggest that environmental scientists take into consideration these biases when designing and interpreting their data and/or add direct online measurement methods that capture the integral role of VOCs in soil systems.
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