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

土壤碳 人类受精 微生物种群生物学 垃圾箱 基因组 相对物种丰度 生物 生态系统 山茶 植物 丰度(生态学) 化学 土壤水分 生态学 农学 细菌 基因 生物化学 遗传学
作者
Xiangde Yang,Kang Ni,Yuanzhi Shi,Xiaoyun Yi,Lingfei Ji,Sirou Wei,Yanyan Jiang,Yongli Zhang,Yanjiang Cai,Qingxu Ma,Sheng Tang,Lifeng Ma,Jianyun Ruan
出处
期刊:Science of The Total Environment [Elsevier]
卷期号:856 (Pt 2): 159231-159231 被引量:76
标识
DOI:10.1016/j.scitotenv.2022.159231
摘要

Soil organic carbon (SOC) is an important C pool of the global ecosystem and is affected by various agricultural practices including fertilization. Excessive nitrogen (N) application is an important field management measure in tea plantation 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 abundance of C-cycling genes, SOC-degrading enzymes, especially those associated with labile and recalcitrant C degradation. 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 abundant, 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) algorithm 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 microbes expressing these enzymes, resulting in potential impact on soil C storage in a perennial tea plantation ecosystem.
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