Abstract

Linking the distribution of enzyme activity to the size and properties of soil pores is a necessary prerequisite for mechanistic understanding of soil biochemical processes. In this study we used soil 2D zymography and X-ray computed tomography (mu CT) to assess the relationship between enzymes and pores. The objectives of the study were (i) to assess spatial distribution patterns in the activity of six enzymes contributing to C, N and P cycles, namely, cellobiohydrolase, beta-glucosidase, xylanase acid phosphatase, leucine aminopeptidase, and N-acetylglucosaminidase, in soils from five long-term land use and management practices, (ii) to study the correlation between enzyme activities and mu CT information, i.e., pore characteristics and image grayscale values, and (iii) to explore the potential use of soil 2D zymography in predicting enzyme activities within 3D soil cores. 3D pore-size distributions were obtained from mu CT images of 13 intact soil cores and then 8-15 2D zymography maps were taken from each core. Spatial distributions in the activities of all studied enzymes were auto-correlated; the spatial correlation ranges were equal to similar to 7-8 mm. The relative activity of all enzymes was positively associated within 60-180 mu m empty set pores. Combining 3D mu CT information with 2D zymography maps visualized the overall patterns of enzyme activity distributions with respect to soil pores and particulate organic matter locations. Based on the findings we propose a conceptual scheme relating localization of microorganisms, enzymes and substrates to pores of different size ranges. Specifically, we suggest that pores in the tens of microns size range represent optimal microbial habitats, and as such are associated with greater microbial abundance, leading to high enzyme production and activity.

Keywords

Enzyme activities; Spatial statistics; Soil zymography; Pore distribution; Microbial habitats; Microorganisms' localization

Published in

Soil Biology and Biochemistry
2019, Volume: 135, pages: 411-419

SLU Authors

• Koestel, Johannes

  • Department of Soil and Environment, Swedish University of Agricultural Sciences
    

UKÄ Subject classification

Climate Research
Environmental Sciences
Soil Science


Publication identifier

DOI: https://doi.org/10.1016/j.soilbio.2019.06.002

Permanent link to this page (URI)

https://res.slu.se/id/publ/100657