Links between chemical composition of soil organic matter and soil enzyme activity in alpine grassland ecosystems of the Tibetan Plateau

土壤有机质 化学 营养循环 自行车 有机质 转化酶 草原 生态系统 土壤碳 作文(语言) 纤维素酶 环境化学 土壤水分 营养物 农学 生态学 生物化学 有机化学 生物 林业 哲学 语言学 地理
作者
Ziwei Wang,Shuqin Ma,Yang Hu,Youchao Chen,Hongmao Jiang,Baoli Duan,Xuyang Lu
出处
期刊:Catena [Elsevier BV]
卷期号:218: 106565-106565 被引量:39
标识
DOI:10.1016/j.catena.2022.106565
摘要

• N-compounds, polysaccharides and fatty acids dominated Tibetan SOM. • SOM significantly influence the activity of invertase and cellulase. • Gram positive and negative bacteria contribute the most to the SOM-enzyme-env system in env factors. • Chemical composition of SOM was evident using Py-GC/MS. Soil enzymes play a key role in soil organic matter dynamics in terrestrial ecosystems; however, the relationship between soil enzyme activity and the chemical composition of soil organic matter remains unclear. We analysed the soil organic matter (SOM) of five types of alpine grassland ecosystems in the Tibetan Plateau at the molecular level using pyrolysis gas chromatography/mass spectrometry (Py-GC/MS), which allowed us to examine the relationship between the patterns of enzyme activities and SOM composition. We found that the level of activity of carbon (C)-cycling enzymes (invertase, β-1,4-glucosidase, polyphenol oxidase, and peroxidase), nitrogen (N)-cycling enzymes (arylamidase), and phosphorus (P)-cycling enzyme (alkaline phosphatase) was significantly different among the five grassland ecosystems. In addition, we found significant variation among the different grassland ecosystems in terms of the activity of enzymes involved in C-cycling less so with those enzymes involved in N-cycling. In general, SOM was dominated by N-compounds (∼32.47–51.76%), polysaccharides (∼10.67–20.42%), and fatty acids (∼7.03–20.33%) in the different alpine grasslands. The most abundant compounds in SOM were D-alanine (10.06–20.77%), 9-octadecenamide, (Z) (4.43–9.68%), and 13-docosenamide (1.52–14.76%). Correlation analysis showed that the N-compound abundance was negatively correlated with nitrate reductase. Polysaccharides were positively correlated with activity levels of invertase and cellulase. Fatty acids were positively correlated with polyphenol oxidase activity and negatively correlated with alkaline phosphatase activity. Some abundant compounds consistently showed strong correlations with activity levels of invertase and cellulase, including toluene, styrene, benzene, phenol, furfural, pyrrole, p-cresol, 2-methylphenylacetylene and indole (positive correlation), 13-docosenamide, dodecanamide and o-hydroxybiphenyl (negative correlation). Furthermore, Gram-positive and Gram-negative bacteria also play a significant role in regulating SOM-enzyme interactions. These findings confirmed the strong effects of SOM composition on the activity of invertase and cellulase, indicating that invertase and cellulase play an important role in regulating SOM to some extent, resulting in complex interactions among organic-enzyme-microbes.
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