Kinetic and temperature sensitivity properties of soil exoenzymes through the soil profile down to one-meter depth at a temperate coniferous forest (Blodgett, CA)

This dataset contains data on kinetic and temperature sensitivity parameters of the exoenzymes β-glucosidase (BG), leucine/leucyl aminopeptidase (LAP) and acid phosphatase (AP) across a soil profile down to 90 cm depth at Blodgett forest, CA, USA. These data were generated to determine if kinetic and thermal properties of microbial exoenzymes involved in organic matter decomposition varied with soil depth, following variation in soil properties and microbial communities, as part of the study: Alves et al. (2021). Kinetic Properties of Microbial Exoenzymes Vary with Soil Depth but Have Similar Temperature Sensitivities Through the Soil Profile. Frontiers in Microbiology 12:3618. https://doi.org/10.3389/fmicb.2021.735282. This research was performed within the framework of the TES Belowground Biogeochemistry SFA project, in particular association with a long-term field warming experiment of the whole soil profile at Blodgett forest. Samples for this work were collected from locations representative of the field experimental plots. Potential enzyme activity rates were measured using laboratory fluorometric assays with soils collected at 0-10, 10-20, 30-40, 50-60, 60-70 and 80-90 cm deep in biological triplicates (i.e., three soil cores collected at different representative locations). Assays with each soil were conducted over a gradient of eight substrate concentrations per enzyme, and incubated at 4, 10, 16, 25, 35 or 50°C. Enzyme Michaelis-Menten kinetics were modeled over the eight substrate concentrations at each temperature, and the temperature sensitivity of the kinetic parameters was modeled over the six temperatures using linear Arrhenius/Q10 and non-linear Macromolecular Rate Theory (MMRT) models. The dataset includes the fully processed enzyme activity rate data used to model Michaelis-Menten kinetics, calculated kinetic and temperature sensitivity parameters, and basic soil and microbial biomass chemistry for each sample. All data is provided for each individual biological replicate, and kinetic and temperature sensitivity parameters are also provided as means of the biological replicates. The dataset also includes all raw measurement data and code used to parse, combine and perform the analyses described by Alves et al. (2021). For file descriptions, see the file-level metadata files: “enzymes_dataProcessed_flmd.xlsx” (processed data); “enzymes_dataRaw_flmd.xlsx” (compressed raw data and metadata); and “enzymes_code_flmd.xlsx” (compressed code). The experimental design, list of parameters measured, soil and microbial biomass chemistry data, and means of biological replicates for kinetic and temperature sensitivity parameters are also provided as human-readable tables in file “enzymeTraits_design_results_tables.xlsx”.本数据集包含美国加利福尼亚州布洛杰特森林（Blodgett Forest）下至90厘米深度的土壤剖面中，三种胞外酶——β-葡萄糖苷酶（β-glucosidase, BG）、亮氨酸/亮氨酰氨基肽酶（leucine/leucyl aminopeptidase, LAP）以及酸性磷酸酶（acid phosphatase, AP）的动力学与温度敏感性参数相关数据。本研究旨在探究参与有机质分解的微生物胞外酶，其动力学与热学特性是否随土壤深度发生变化，并响应土壤属性与微生物群落的差异，该工作隶属于Alves等人（2021）的研究：《微生物胞外酶动力学特性随土壤深度变化，但全土壤剖面温度敏感性一致》（Kinetic Properties of Microbial Exoenzymes Vary with Soil Depth but Have Similar Temperature Sensitivities Through the Soil Profile），发表于《微生物学前沿》（Frontiers in Microbiology）第12卷：3618，DOI: 10.3389/fmicb.2021.735282。本研究依托TES地下生物地球化学专项基金（TES Belowground Biogeochemistry SFA）项目开展，尤其关联布洛杰特森林全土壤剖面的长期野外增温实验。本研究的样品采集自具有代表性的田间实验样地。研究采用实验室荧光测定法，对0-10、10-20、30-40、50-60、60-70及80-90厘米深度的土壤样本进行潜在酶活性测定，设置生物学重复三次（即于不同代表性点位采集三份土壤岩心）。每份土壤样本分别针对每种酶，设置八种底物浓度梯度开展实验，并在4、10、16、25、35或50℃条件下培养。针对每个温度下的八种底物浓度数据，构建酶的米氏动力学（Michaelis-Menten kinetics）模型；针对六个温度梯度下的参数，分别采用线性阿伦尼乌斯（Arrhenius）/Q10模型与非线性大分子速率理论（Macromolecular Rate Theory, MMRT）模型，对动力学参数的温度敏感性进行拟合。本数据集包含用于米氏动力学建模的完整处理后酶活性数据、计算得到的动力学与温度敏感性参数，以及每份样本的基础土壤与微生物生物量化学数据。所有数据均按单个生物学重复提供，动力学与温度敏感性参数同时提供生物学重复的均值。数据集还包含用于解析、整合并执行Alves等人（2021）所述分析的全部原始测量数据与代码。文件级元数据详见以下文件："enzymes_dataProcessed_flmd.xlsx"（处理后数据）；"enzymes_dataRaw_flmd.xlsx"（压缩原始数据与元数据）；"enzymes_code_flmd.xlsx"（压缩代码）。此外，文件"enzymeTraits_design_results_tables.xlsx"中以可读表格形式提供了实验设计、测量参数列表、土壤与微生物生物量化学数据，以及动力学与温度敏感性参数的生物学重复均值。