Soil microbial carbon use efficiency differs between mycorrhizal trees: insights from substrate stoichiometry and microbial networks.

IF 5.1 Q1 ECOLOGY
ISME communications Pub Date : 2024-12-27 eCollection Date: 2025-01-01 DOI:10.1093/ismeco/ycae173
Jing Yu, Jingyi Yang, Lingrui Qu, Xiaoyi Huang, Yue Liu, Ping Jiang, Chao Wang
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Abstract

The role of mycorrhizal associations in controlling forest soil carbon storage remains under debate. This uncertainty is potentially due to an incomplete understanding of their influence on the free-living soil microbiome and its functions. In this study, rhizosphere and non-rhizosphere soils were collected from eight arbuscular mycorrhizal (AM) and seven ectomycorrhizal (ECM) tree species in a temperate forest. We employed high-throughput sequencing and 18O-H2O labeling to analyze the soil microbial community and carbon use efficiency (CUE), respectively. We find microbial respiration rates are higher in rhizosphere than that in non-rhizosphere soils for ECM trees, whereas microbial growth rates show no significant differences. Consequently, microbial CUE is lower in rhizosphere compared to non-rhizosphere soils for ECM trees. In addition, we find that non-rhizosphere soils from ECM trees exhibited higher CUE compared to those from AM trees. Furthermore, we observe that bacterial-fungal co-occurrence networks in ECM soils exhibit greater complexity relative to AM ones. Using random forest and structural equation modeling analyses, we find that microbial stoichiometric carbon/nitrogen imbalance and network complexity are key predictors of soil microbial CUE for AM and ECM trees, respectively. Our findings shed new light on the pivotal role of mycorrhizal associations in shaping free-living microbial communities and their metabolic characteristics in the studied soils. These insights are critical for predicting soil carbon sequestration in response to shifts in ECM and AM species within temperate forest under climate change.

菌根树的土壤微生物碳利用效率不同:来自基质化学计量学和微生物网络的见解。
菌根结合体在控制森林土壤碳储量中的作用仍存在争议。这种不确定性可能是由于对它们对自由生活的土壤微生物群及其功能的影响的不完全理解。本研究采集了温带森林中8种丛枝菌根(AM)和7种外生菌根(ECM)树种的根际土壤和非根际土壤。我们采用高通量测序和18O-H2O标记技术分别分析了土壤微生物群落和碳利用效率(CUE)。我们发现ECM树根际土壤的微生物呼吸速率高于非根际土壤,而微生物生长速率没有显着差异。因此,与非根际土壤相比,ECM树木根际土壤中的微生物CUE较低。此外,我们发现,与AM树相比,ECM树的非根际土壤表现出更高的CUE。此外,我们观察到与AM相比,ECM土壤中的细菌-真菌共生网络表现出更大的复杂性。利用随机森林和结构方程模型分析,我们发现微生物化学计量碳氮失衡和网络复杂性分别是AM和ECM树土壤微生物CUE的关键预测因子。我们的研究结果揭示了菌根关联在塑造自由生活的微生物群落及其在所研究土壤中的代谢特征中的关键作用。这些见解对于预测气候变化下温带森林中ECM和AM物种变化对土壤固碳的响应至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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