Your browser doesn't support javascript.
loading
Metagenomic and network analyses reveal key players in nitrification in upland agricultural soils.
Zhao, Huicheng; Li, Yue; Liu, Meiyu; Song, Xiaotong; Liu, Binbin; Ju, Xiaotang.
Afiliação
  • Zhao H; Key Laboratory of Agricultural Water Resources, Center for Agricultural Resources Research, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Shijiazhuang, China.
  • Li Y; College of Resources and Environmental Sciences, China Agricultural University, Beijing, China.
  • Liu M; Key Laboratory of Agricultural Water Resources, Center for Agricultural Resources Research, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Shijiazhuang, China.
  • Song X; State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China.
  • Liu B; Key Laboratory of Agricultural Water Resources, Center for Agricultural Resources Research, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Shijiazhuang, China.
  • Ju X; Xiong'an Institute of Innovation, Chinese Academy of Sciences, Xiong'an, China.
Environ Microbiol ; 25(11): 2636-2640, 2023 11.
Article em En | MEDLINE | ID: mdl-37544653
ABSTRACT
Nitrification, a key step in soil nitrogen cycling, is a biologically mediated process crucial to the ecological environment. However, how nitrifiers drive nitrification under different soil properties and climatic factors at large spatial scales is poorly understood. Here, using metagenomic sequencing and network-based approaches, we identified key nitrifying species of upland agricultural soils in northern China, which spans a wide range of climates and geographic distances. We found that potential nitrification rates (PNRs) varied in different soils and were positively correlated with soil pH (5.42-8.46) and mean annual temperature (MAT) and negatively correlated with the C/N ratio. Network analysis revealed that one module (module 3) was significantly correlated with PNR. In this module, 16 dominant nodes were associated with AOB Nitrosomonas and most nodes were significantly correlated with environmental factors, suggesting that abiotic conditions are important for determining the assembly of these key nitrifiers. Our study advanced the understanding of the key nitrifying populations and their environmental drivers in upland agricultural soil across different soil and climate types.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Solo / Nitrificação Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Solo / Nitrificação Idioma: En Ano de publicação: 2023 Tipo de documento: Article