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标题:Archaea are the predominant and responsive ammonia oxidizing prokaryotes in a red paddy soil receiving green manures
时间:2019-12-03 23:32:28
DOI:10.1016/j.ejsobi.2018.05.008
作者:Gao Song-juan; Chang Dan-na; Zou Chun-qin
出版源: 《European Journal of Soil Biology》 ,88 :27-35
摘要:Application of green manures is an effective approach to optimizing N management in paddy soils. Nitrification is a key process in the N cycle and ammonia oxidization is the first and typically limiting step in nitrification. In this study, we investigated the changes of ammonium oxidizing prokaryotes after the application of green manure in a red paddy soil using pot experiments. The experiment included four treatments; milk vetch-rice, radish-rice, ryegrass-rice and winter fallow-rice. The nitrification potential was measured, and the abundance and community of amoA genes from ammonia-oxidizing archaea (AOA) and bacteria (AOB) were quantified. The results showed that the AOA to AOB ratios ranged from 7 to 80, and that the milk vetch treatment increased the abundances of AOA and AOB. The abundance of AOA showed negative correlations with nitrification potential and NH 4 + -N, and positive correlation with soil pH in the acidic red paddy soil. DNA sequence analyses revealed that the Nitrososphaera and Nitrosospira were the dominant clusters of AOA and AOB, respectively. The dominant clusters of AOA were significantly changed by utilization of green manures, especially radish. Partial least squares path modeling analysis showed that green manures exerted larger effects on the abundances of AOA than on AOB, and the community structure of AOA had the strongest effect on nitrification potential. The high abundance of AOA found in this study and their responsiveness to green manuring suggests that AOA are critically important for soil ammonia oxidation in these soils and more sensitive to green manuring than AOB.
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目录:
  • Archaea are the predominant and responsive ammonia oxidizing prokaryotes in a red paddy soil receiving green manures
    • Introduction
    • Materials and methods
      • Plant materials and soils
      • Experimental design and sampling
      • Chemical analysis
      • Nitrification potential
      • DNA extraction and real time quantitative PCR
      • DNA sequencing
      • Bioinformatics analyses
      • Statistical analyses
    • Results
      • Response of soil chemical properties to green manuring
      • Response of the nitrification potential
      • Quantification of archaeal and bacterial amoA genes and their correlations with soil properties
      • Diversity of amoA genes from archaea and bacteria
      • Partial least squares path modeling analysis
    • Discussion
    • Acknowledgements
    • Supplementary data
    • References

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