Soil metabolomics - current challenges and future perspectives

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Soil metabolomics - current challenges and future perspectives. / Brown, Rob; Reay, Michaela K; Centler, Florian et al.
In: Soil Biology and Biochemistry, 01.06.2024.

Research output: Contribution to journalArticlepeer-review

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APA

Brown, R., Reay, M. K., Centler, F., Chadwick, D., Bull, I. D., McDonald, J., Evershed, R. P., & Jones, D. L. (2024). Soil metabolomics - current challenges and future perspectives. Soil Biology and Biochemistry, Article 109382. https://doi.org/10.1016/j.soilbio.2024.109382

CBE

Brown R, Reay MK, Centler F, Chadwick D, Bull ID, McDonald J, Evershed RP, Jones DL. 2024. Soil metabolomics - current challenges and future perspectives. Soil Biology and Biochemistry. Article 109382. https://doi.org/10.1016/j.soilbio.2024.109382

MLA

VancouverVancouver

Brown R, Reay MK, Centler F, Chadwick D, Bull ID, McDonald J et al. Soil metabolomics - current challenges and future perspectives. Soil Biology and Biochemistry. 2024 Jun 1;109382. Epub 2024 Mar 12. doi: 10.1016/j.soilbio.2024.109382

Author

Brown, Rob ; Reay, Michaela K ; Centler, Florian et al. / Soil metabolomics - current challenges and future perspectives. In: Soil Biology and Biochemistry. 2024.

RIS

TY - JOUR

T1 - Soil metabolomics - current challenges and future perspectives

AU - Brown, Rob

AU - Reay, Michaela K

AU - Centler, Florian

AU - Chadwick, Dave

AU - Bull, Ian D.

AU - McDonald, James

AU - Evershed, Richard P

AU - Jones, Davey L.

PY - 2024/6/1

Y1 - 2024/6/1

N2 - Soil is an extremely complex and dynamic matrix, in part, due to the wide diversity of organisms living within it. Soil organic matter (SOM) is the fundamental substrate on which the delivery of ecosystem services depends, providing the metabolic fuel to drive soil function. As such, studying the soil metabolome (the diversity and concentration of low molecular weight metabolites), as a subset of SOM, holds the potential to greatly expand our understanding of the behaviour, fate, interaction and functional significance of small organic molecules in soil. Encompassing a wide range of chemical classes (including amino acids, peptides, lipids and carbohydrates) and a large number of individual molecules (ca. n = 105 to 106), the metabolome is a resultant (indirect) output of several layers of a biological hierarchy, namely the metagenome, metatranscriptome and metaproteome. As such, it may also provide support and validation for these “multi-omics” datasets. We present a case for the increased use of untargeted metabolomics in soil biochemistry, particularly for furthering our fundamental understanding of the functions driving SOM composition and biogeochemical cycling. Further, we discuss the scale of the challenge in terms of metabolite extraction, analysis and interpretation in complex plant-soil-microbial systems. Lastly, we highlight key knowledge gaps which currently limit our use of metabolomic approaches to better understand soil processes, including: (i) interpretation of large untargeted metabolomic datasets; (ii) the source, emission and fate of soil-derived volatile organic compounds (VOCs), (iii) assessing temporal fluxes of metabolites, and (iv) monitoring ecological interactions in the rhizosphere. While the application of metabolomics in ecosystem science is still in its relative infancy, its importance in understanding the biochemical system in relation to regulation, management and underpinning the delivery of ecosystem services is key to further elucidating the complex links between organisms, as well as the fundamental ability of the biological community to process and cycle key nutrients.

AB - Soil is an extremely complex and dynamic matrix, in part, due to the wide diversity of organisms living within it. Soil organic matter (SOM) is the fundamental substrate on which the delivery of ecosystem services depends, providing the metabolic fuel to drive soil function. As such, studying the soil metabolome (the diversity and concentration of low molecular weight metabolites), as a subset of SOM, holds the potential to greatly expand our understanding of the behaviour, fate, interaction and functional significance of small organic molecules in soil. Encompassing a wide range of chemical classes (including amino acids, peptides, lipids and carbohydrates) and a large number of individual molecules (ca. n = 105 to 106), the metabolome is a resultant (indirect) output of several layers of a biological hierarchy, namely the metagenome, metatranscriptome and metaproteome. As such, it may also provide support and validation for these “multi-omics” datasets. We present a case for the increased use of untargeted metabolomics in soil biochemistry, particularly for furthering our fundamental understanding of the functions driving SOM composition and biogeochemical cycling. Further, we discuss the scale of the challenge in terms of metabolite extraction, analysis and interpretation in complex plant-soil-microbial systems. Lastly, we highlight key knowledge gaps which currently limit our use of metabolomic approaches to better understand soil processes, including: (i) interpretation of large untargeted metabolomic datasets; (ii) the source, emission and fate of soil-derived volatile organic compounds (VOCs), (iii) assessing temporal fluxes of metabolites, and (iv) monitoring ecological interactions in the rhizosphere. While the application of metabolomics in ecosystem science is still in its relative infancy, its importance in understanding the biochemical system in relation to regulation, management and underpinning the delivery of ecosystem services is key to further elucidating the complex links between organisms, as well as the fundamental ability of the biological community to process and cycle key nutrients.

KW - Dissolved organic carbon

KW - Soil organic matter

KW - Biochemical profiling

KW - Nutrient cycling

KW - Soil quality

U2 - 10.1016/j.soilbio.2024.109382

DO - 10.1016/j.soilbio.2024.109382

M3 - Article

JO - Soil Biology and Biochemistry

JF - Soil Biology and Biochemistry

SN - 0038-0717

M1 - 109382

ER -