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Metagenomics reveals N-induced changes in carbon-degrading genes and microbial communities of tea (Camellia sinensis L.) plantation soil under long-term fertilization.
Yang, Xiangde; Ni, Kang; Shi, Yuanzhi; Yi, Xiaoyun; Ji, Lingfei; Wei, Sirou; Jiang, Yanyan; Zhang, Yongli; Cai, Yanjiang; Ma, Qingxu; Tang, Sheng; Ma, Lifeng; Ruan, Jianyun.
Afiliação
  • Yang X; Tea Research Institute, Chinese Academy of Agriculture Sciences, Key Laboratory of Tea Biology and Resource Utilization of Tea, The Ministry of Agriculture, Hangzhou 310008, China.
  • Ni K; Tea Research Institute, Chinese Academy of Agriculture Sciences, Key Laboratory of Tea Biology and Resource Utilization of Tea, The Ministry of Agriculture, Hangzhou 310008, China.
  • Shi Y; Tea Research Institute, Chinese Academy of Agriculture Sciences, Key Laboratory of Tea Biology and Resource Utilization of Tea, The Ministry of Agriculture, Hangzhou 310008, China.
  • Yi X; Tea Research Institute, Chinese Academy of Agriculture Sciences, Key Laboratory of Tea Biology and Resource Utilization of Tea, The Ministry of Agriculture, Hangzhou 310008, China.
  • Ji L; Jiangsu Provincial Key Lab for Organic Solid Waste Utilization, Nanjing Agricultural University, Nanjing 210095, China.
  • Wei S; Tea Research Institute, Chinese Academy of Agriculture Sciences, Key Laboratory of Tea Biology and Resource Utilization of Tea, The Ministry of Agriculture, Hangzhou 310008, China.
  • Jiang Y; Tea Research Institute, Chinese Academy of Agriculture Sciences, Key Laboratory of Tea Biology and Resource Utilization of Tea, The Ministry of Agriculture, Hangzhou 310008, China.
  • Zhang Y; Tea Research Institute, Chinese Academy of Agriculture Sciences, Key Laboratory of Tea Biology and Resource Utilization of Tea, The Ministry of Agriculture, Hangzhou 310008, China.
  • Cai Y; Zhejiang Provincial Key Laboratory of Agricultural Resources and Environment, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou 310058, China.
  • Ma Q; State Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, Hangzhou 311300, China.
  • Tang S; State Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, Hangzhou 311300, China.
  • Ma L; Tea Research Institute, Chinese Academy of Agriculture Sciences, Key Laboratory of Tea Biology and Resource Utilization of Tea, The Ministry of Agriculture, Hangzhou 310008, China. Electronic address: malf@mail.tricaas.com.
  • Ruan J; Tea Research Institute, Chinese Academy of Agriculture Sciences, Key Laboratory of Tea Biology and Resource Utilization of Tea, The Ministry of Agriculture, Hangzhou 310008, China. Electronic address: jruan@mail.tricaas.com.
Sci Total Environ ; 856(Pt 2): 159231, 2023 Jan 15.
Article em En | MEDLINE | ID: mdl-36216053
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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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Quitinases / Camellia sinensis / Celulases / Microbiota Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Quitinases / Camellia sinensis / Celulases / Microbiota Idioma: En Ano de publicação: 2023 Tipo de documento: Article