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<p>Forest vegetation shifts significantly alter soil nitrogen (N) cycling, yet the relative contributions of mycorrhizal associations and leaf traits remain debated. To address this, we combined DNA-stable isotope probing (SIP) with acetylene/1-octyne inhibition to explore nitrification dynamics and active ammonia oxidizers in soils from <i>Cryptomeria japonica</i> (AM-associated conifer), <i>Quercus acuta</i> (ECM-associated evergreen broadleaf), and mixed forest (both <i>C.japonica</i> and <i>Q.acuta</i>). Our results showed that potential nitrification rates were higher in <i>C. japonica</i> and mixed forest soils, while <i>Q. acuta</i> exhibited negligible activity even with NH<sub>4</sub><sup>+</sup> addition, supporting the mycorrhizal-associated nutrient economy hypothesis. Over 56 days, net nitrification was influenced by N supply: under no NH₄⁺ amendment, mixed soils had higher nitrification rate than <i>C. japonica</i> soils. But this pattern reversed with continuous NH₄⁺ supply, leading to higher nitrification rate in <i>C. japonica</i> soils. Selective inhibition and DNA-SIP incubation revealed dual AOA-AOB activity in <i>C. japonica</i> soils, while AOA dominated in mixed soils. These findings indicate that mycorrhizal type, rather than leaf trait, is a more reliable predictor of soil nitrification. Our results provide a mechanistic framework for understanding N-cycling responses to vegetation shifts under global change.</p>

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Mycorrhizal type overrides leaf trait in governing nitrification and ammonia oxidizers: evidence from DNA-SIP in a subtropical forest

  • 期刊论文

  • 发表日期：

    2025年12月17日

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  • Xue Zhou,
  • Jaehyun Lee,
  • Yerang Yang,
  • Hyunho Lee,
  • Hojeong Kang

摘要

Forest vegetation shifts significantly alter soil nitrogen (N) cycling, yet the relative contributions of mycorrhizal associations and leaf traits remain debated. To address this, we combined DNA-stable isotope probing (SIP) with acetylene/1-octyne inhibition to explore nitrification dynamics and active ammonia oxidizers in soils from Cryptomeria japonica (AM-associated conifer), Quercus acuta (ECM-associated evergreen broadleaf), and mixed forest (both C.japonica and Q.acuta). Our results showed that potential nitrification rates were higher in C. japonica and mixed forest soils, while Q. acuta exhibited negligible activity even with NH4+ addition, supporting the mycorrhizal-associated nutrient economy hypothesis. Over 56 days, net nitrification was influenced by N supply: under no NH₄⁺ amendment, mixed soils had higher nitrification rate than C. japonica soils. But this pattern reversed with continuous NH₄⁺ supply, leading to higher nitrification rate in C. japonica soils. Selective inhibition and DNA-SIP incubation revealed dual AOA-AOB activity in C. japonica soils, while AOA dominated in mixed soils. These findings indicate that mycorrhizal type, rather than leaf trait, is a more reliable predictor of soil nitrification. Our results provide a mechanistic framework for understanding N-cycling responses to vegetation shifts under global change.