Catalytic kinetics and activation energy of soil peroxidases across ecosystems of differing lignin chemistries View Full Text


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Article Info

DATE

2015-04-14

AUTHORS

Daniella J. Triebwasser-Freese, Nishanth Tharayil, Caroline M. Preston, Patrick G. Gerard

ABSTRACT

Factors regulating the persistence of lignin in terrestrial ecosystems are highly debated, and recently lignin has been proposed to have a low residence time in soils. The catalytic efficiency and activation energy of the oxidoreductase enzymes regulate the residence time of lignin in soils. We characterized the spatial and seasonal changes in the apparent Michaelis–Menten kinetics and activation energy of soil peroxidases in three ecosystems of differing litter chemistries- pine forest, deciduous forest, and agricultural ecosystem. Peroxidases rarely follow true Michaelis–Menten kinetics, hence we measured the apparent Km (AppKm) and apparent Vmax (AppVmax) of soil peroxidases under potentially H2O2 non-limiting conditions using 3,3′,5,5′-tetramethylbenzidine as the reducing substrate. The AppVmax and AppKm measured in this study, when used independently, exhibited only a weak relationship with total quantity and composition of lignins. Hence, we adopted the ratio of these two parameters (AppVmax/AppKm) to define the apparent catalytic efficiency (AppCE) of peroxidases. Across the three ecosystems and seasons, the AppCE of peroxidase was ecosystem specific, and exhibited a strong correlation with the monolignol composition of the resident plant species. The AppCE of peroxidase was higher in agricultural soils that had lower lignin content. Pine soils with a higher relative proportion of vanillyl units that contribute to more recalcitrant inter-unit linkages in lignins exhibited the highest AppVmax and AppKm, resulting in the lowest AppCE. This decoupling of AppCE of peroxidases from chemistry of the native lignin observed in our assay-system could indicate a relatively longer persistence of lignin in ecosystems receiving recalcitrant litter inputs. Even though the apparent activation energy (AppEa) of peroxidases varied by depth and seasons across ecosystems, the AppEa did not relate to the chemistry or quantity of lignins, probably due to the substrate-saturated assay conditions. Our study captures the apparent kinetics of peroxidases in soils, which was ecosystem specific, and in part regulated by the composition of monolignols, thus providing a preliminary linkage between lignin chemistry and enzyme properties in natural systems. More... »

PAGES

113-129

References to SciGraph publications

  • 2014-12-16. Scaling microbial biomass, metabolism and resource supply in BIOGEOCHEMISTRY
  • 2011-10-05. Persistence of soil organic matter as an ecosystem property in NATURE
  • 2008-06-26. Structure and Action Mechanism of Ligninolytic Enzymes in APPLIED BIOCHEMISTRY AND BIOTECHNOLOGY
  • 2010-09-08. Controls on the Temperature Sensitivity of Soil Enzymes: A Key Driver of In Situ Enzyme Activity Rates in SOIL ENZYMOLOGY
  • 2006-06-03. Evaluation of CuO oxidation parameters for determining the source and stage of lignin degradation in soil in BIOGEOCHEMISTRY
  • 2011-10-28. A high throughput glucocerebrosidase assay using the natural substrate glucosylceramide in ANALYTICAL AND BIOANALYTICAL CHEMISTRY
  • 2014-02-22. Developmental Increase in Ecto-5′-Nucleotidase Activity Overlaps with Appearance of Two Immunologically Distinct Enzyme Isoforms in Rat Hippocampal Synaptic Plasma Membranes in JOURNAL OF MOLECULAR NEUROSCIENCE
  • 2013-08-31. Evolution of histamine oxidase activity for biotechnological applications in APPLIED MICROBIOLOGY AND BIOTECHNOLOGY
  • 2012-11-20. The plant Selaginella moellendorffii possesses enzymes for synthesis and hydrolysis of the compatible solutes mannosylglycerate and glucosylglycerate in PLANTA
  • 2008-11-23. Increased cuticular carbon sequestration and lignin oxidation in response to soil warming in NATURE GEOSCIENCE
  • 2009-01-28. A Review of the Antioxidant Mechanisms of Polyphenol Compounds Related to Iron Binding in CELL BIOCHEMISTRY AND BIOPHYSICS
  • 2007-08-28. Microbial responses to nitrogen addition in three contrasting grassland ecosystems in OECOLOGIA
  • 2006-01-03. Microbial Responses to Long-Term N Deposition in a Semiarid Grassland in MICROBIAL ECOLOGY
  • 2006-09-30. Response of Oxidative Enzyme Activities to Nitrogen Deposition Affects Soil Concentrations of Dissolved Organic Carbon in ECOSYSTEMS
  • 2011-04-05. Litter decay rates are determined by lignin chemistry in BIOGEOCHEMISTRY
  • 2014-09-09. Extracellular enzyme kinetics scale with resource availability in BIOGEOCHEMISTRY
  • 2008-10. Nitrogen deposition effects on soil organic matter chemistry are linked to variation in enzymes, ecosystems and size fractions in BIOGEOCHEMISTRY
  • 2006-03. Temperature sensitivity of soil carbon decomposition and feedbacks to climate change in NATURE
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    93 properties
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