Extracellular enzyme kinetics and thermodynamics along a climate gradient in southern California

Extracellular enzyme kinetics and thermodynamics along a climate gradient in southern California
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DOI:
10.1016/j.soilbio.2017.07.005
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发表时间:
2017-11-01
影响因子:
9.7
通讯作者:
Allison, Steven D.
Allison, Steven D.
中科院分区:
农林科学1区
文献类型:
--
作者:
Baker, Nameer R.;Allison, Steven D.

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Microbial decomposers produce extracellular enzymes to degrade complex plant polymers, making plant C available for metabolism and eventual respiration back to the atmosphere as CO2. Knowledge of how extracellular enzyme kinetics and microbial activity vary with climate is therefore valuable for predicting how future carbon cycling may be affected by climate change, but studies investigating such dynamics in more xeric ecosystems are underrepresented in the literature. We investigated how microbial biomass, litter chemistry, and extracellular enzymes (V-max and K-m) and their temperature sensitivities varied along a Mediterranean Climate gradient in southern Califotnia. Total microbial biomass did not vary among sites along the gradient in either the dry or the wet season. In contrast, extracellular enzyme Vmax and Km varied as a function of fungal biomass and substrate availability. We also found that Vmax of most enzymes was more sensitive to temperature in colder sites than in warmer sites, though only in the dry season. In contrast, Km of multiple enzymes was more sensitive to temperature in warmer sites across both seasons. Observed enzyme Vmax and Km were indicative of extracellular enzyme accumulation in the drier sites along the gradient, which may contribute to the large pulses of respiration that follow rewetting events in these xeric systems. Variation in enzyme characteristics along the gradient indicate that as these systems become more arid in the future, enzyme dynamics will shift from smaller, potentially more active pools to larger, potentially less active enzyme pools that accumulate over dry periods. In addition, rates of enzymatic decomposition will likely be most sensitive to rising temperatures in the coldest sites along our gradient. (C) 2017 Elsevier Ltd. All rights reserved.