Metagenomics reveals N-induced changes in carbon-degrading genes and microbial communities of tea (Camellia sinensis L.) plantation soil under long-term fertilization

文献类型： 外文期刊

第一作者： Yang, Xiangde

作者： Yang, Xiangde;Ni, Kang;Shi, Yuanzhi;Yi, Xiaoyun;Wei, Sirou;Jiang, Yanyan;Zhang, Yongli;Ma, Lifeng;Ruan, Jianyun;Ji, Lingfei;Cai, Yanjiang;Ma, Qingxu;Tang, Sheng

作者机构：

关键词： N application; C -cycling genes; SOC-degrading enzymes; Functional microbial communities; Acidic soil; Tea plantation

期刊名称：SCIENCE OF THE TOTAL ENVIRONMENT （ 影响因子：10.753； 五年影响因子：10.237 ）

ISSN： 0048-9697

年卷期： 2023 年 856 卷

页码：

收录情况： SCI

摘要： Soil organic carbon (SOC) is an important C pool of the global ecosystem and is affected by various agricultural prac-tices including fertilization. Excessive nitrogen (N) application is an important field management measure in tea plan-tation systems. However, the mechanism underlying the impact of N fertilization on SOC, especially the microscopic mechanism remain unclear. The present study explored the effects of N fertilization on C-cycling genes, SOC-degrading enzymes and microbes expressing these enzymes by using a metagenomic approach in a tea plantation under long-term fertilization with different N rates. Results showed that N application significantly changed the abun-dance of C-cycling genes, SOC-degrading enzymes, especially those associated with labile and recalcitrant C degrada-tion. In addition, the beta-glucosidase and chitinase-expressing microbial communities showed a significant difference under different N rates. At the phylum level, microbial taxa involved in C degradation were highly similar and abun-dant, while at the genus level, only specific taxa performed labile and recalcitrant C degradation; these SOC-degrading microbes were significantly enriched under N application. Redundancy analysis (RDA) revealed that the soil and pruned litter properties greatly influenced the SOC-degrading communities; pH and DOC of the soil and biomass and total polyphenol (TP) of the pruned litter exerted significant effects. Additionally, the random forest (RF) algo-rithm revealed that soil pH and dominant taxa efficiently predicted the beta-glucosidase abundance, while soil pH and DOC, pruned litter TP, and the highly abundant microbial taxa efficiently predicted chitinase abundance. Our study indicated that long-term N fertilization exerted a significant positive effect on SOC-degrading enzymes and mi-crobes expressing these enzymes, resulting in potential impact on soil C storage in a perennial tea plantation ecosys-tem.

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