Molecular signature of soil organic matter under different land uses in the Lake Chaohu Basin

BY H Gao, HX Li, C Lin, PJJ Alvarez, CA Masiello, DQ Zhu, A Kong*, XL Qu*|
2023-01-04
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Highlights

High-throughput MS was used to screen SOM structures in Lake Chaohu Basin.

Spectrum processing algorithm was developed for profiling SOM molecular fingerprints.

Molecular markers were identified to reveal SOM signatures for different land uses.

Molecular signature of SOM varies significantly with land use in Lake Chaohu Basin.


Abstract: The concentration and molecular composition of soil organic matter (SOM) are important factors in mitigation against climate change as well as providing other ecosystem services. Our quantitative understanding of how land use influences SOM molecular composition and associated turnover dynamics is limited, which underscores the need for high-throughput analytical approaches and molecular marker signatures to clarify this etiology. Combining a high-throughput untargeted mass spectrometry screening and molecular markers, we show that forest, farmland and urban land uses result in distinct molecular signatures of SOM in the Lake Chaohu Basin. Molecular markers indicate that forest SOM has abundant carbon contents from vegetation and condensed organic carbon, leading to high soil organic carbon (SOC) concentration. Farmland SOM has moderate carbon contents from vegetation, and limited content of condensed organic carbon, with SOC significantly lower than that of forest soils. Urban SOM has high abundance of condensed organic carbon markers due to anthropogenic activities but relatively low in markers from vegetation. Consistently, urban soils have the highest black carbon/SOC ratio among these land uses. Overall, our results suggested that the molecular signature of SOM varies significantly with land use in the Lake Chaohu Basin, influencing carbon dynamics. Our strategy of molecular fingerprinting and marker discovery is expected to enlighten further research on SOM molecular signatures and cycling dynamics.


Keywords: High-throughput untargeted mass spectrometry screening; Mass spectrum processing algorithm; Soil organic matter; Molecular signature; Land use


DOI: 10.1016/j.eehl.2022.10.003