PDF(Pubmed)
Abstract：
Highly diverse exoenzymes mediate the energy flow from substrates to the multitrophic microbiota within the soil decomposer micro-food web. Here, we used a \"soil enzyme profile analysis\" approach to establish a series of enzyme profile indices; those indices were hypothesized to reflect micro-food web features. We systematically evaluated the shifts in enzyme profile indices in relation to the micro-food web features in the restoration of an abandoned cropland to a natural area. We found that enzymatic C:N stoichiometry and decomposability index were significantly associated with substrate availability. Furthermore, the higher Shannon diversity index in the exoenzyme profile, especially for the C-degrading hydrolase, corresponded to a greater microbiota community diversity. The increased complexity and stability of the exoenzyme network reflected similar changes with the micro-food web networks. In addition, the gross activity of the enzyme profile as a parameter for soil multifunctionality, effectively predicted the substrate content, microbiota community size, diversity, and network complexity. Ultimately, the proposed enzymic channel index was closely associated with the traditional decomposition channel indices derived from microorganisms and nematodes. Our results showed that soil enzyme profile analysis reflected very well the decomposer food web features. Our study has important implications for projecting future climate change or anthropogenic disturbance impacts on soil decomposer micro-food web features by using soil enzyme profile analysis.
摘要：
高度多样的外切酶介导从底物到土壤分解器微食物网内的多营养微生物群的能量流。这里,我们使用“土壤酶谱分析”方法建立了一系列酶谱指数；假设这些指数反映了微食物网的特征。我们系统地评估了将废弃农田恢复到自然区域时，酶谱指数与微食物网特征有关的变化。我们发现酶的C：N化学计量和可分解指数与底物可用性显着相关。此外，外酶谱中更高的香农多样性指数，特别是对于C-降解水解酶，对应于更大的微生物群落多样性。外酶网络的增加的复杂性和稳定性反映了微食物网网络的类似变化。此外,酶谱的总活性作为土壤多功能性的参数，有效地预测了底物含量，微生物群落大小，多样性,和网络的复杂性。最终,提出的酶通道指数与来自微生物和线虫的传统分解通道指数密切相关。我们的结果表明，土壤酶谱分析很好地反映了分解食物网的特征。通过使用土壤酶谱分析，我们的研究对于预测未来的气候变化或人为干扰对土壤分解器微食物网特征的影响具有重要意义。
