He Kunrun, Lai Yiran, Hu Shurui, Song Meiyi, Su Ye, Li Chunyang, Wu Xinle, Zhang Chunyue, Hua Yuanhang, Huang Jinyong, Guo Shujuan, Xu Yadong
School of Life Sciences, Zhengzhou University, Zhengzhou 450001, China.
School of Agricultural Sciences, Zhengzhou University, Zhengzhou 450001, China.
Microorganisms. 2024 Nov 18;12(11):2355. doi: 10.3390/microorganisms12112355.
Assessing the relationship between litter characteristics and soil microbial community traits across different forest types can enhance our understanding of the synergistic interactions among litter, soil, and microorganisms. This study focused on three representative forest types in the Funiu Mountains- (LG), var. (QA), and var. + (QAPA). The findings indicated no significant differences in Chao1 among the three forests; however, the Shannon index exhibited an initial increase followed by a decline. NMDS and ANOSIM analyses revealed significant structural differences across these forest types. Network topological metrics (nodes, edges, average degree, and average path distance) for bacterial taxa were higher in LG and QA compared with QAPA. Additionally, LG and QA demonstrated significantly greater average niche breadth than QAPA. The results from the null models (the proportion occupied by dispersal limitation is 62.2%, 82.2%, and 64.4% in LG, QA, and QAPA), modified stochasticity ratio (LG: 0.708, QA: 0.664, and QAPA: 0.801), and neutral community models (LG: R = 0.665, QA: R = 0.630, and QAPA: R = 0.665) suggested that stochastic processes predominantly govern the assembly of soil bacterial communities. Random forest analysis alongside Mantel tests highlighted LTP (litter total phosphorus), STN (soil total nitrogen), MCP (carbon-to-phosphorus ratio of microbial biomass), and SCN (soil carbon-to-nitrogen ratio) as critical factors affecting bacterial niche width; conversely LCN (litter carbon-to-nitrogen ratio), RCP (ratio of dissolved carbon to phosphorus), MCP, and SCN emerged as key determinants influencing community assembly processes. Furthermore, the PLS-SEM results underscored how both litter characteristics along with soil properties-and their associated alpha diversity-impact variations in niche breadth while also shaping community assembly dynamics overall. This research provides vital insights into understanding synergistic relationships between litter quality, soil characteristics, and microbial community across diverse forest ecosystems.
评估不同森林类型中凋落物特征与土壤微生物群落特征之间的关系，有助于我们加深对凋落物、土壤和微生物之间协同相互作用的理解。本研究聚焦于伏牛山三种具有代表性的森林类型——栓皮栎林（LG）、锐齿栎林（QA）以及锐齿栎 + 栓皮栎混交林（QAPA）。研究结果表明，三种森林类型的Chao1指数无显著差异；然而，香农指数呈现出先上升后下降的趋势。非度量多维尺度分析（NMDS）和相似性分析（ANOSIM）显示，这些森林类型之间存在显著的结构差异。与QAPA相比，LG和QA中细菌类群的网络拓扑指标（节点、边、平均度和平均路径距离）更高。此外，LG和QA的平均生态位宽度显著大于QAPA。零模型结果（LG、QA和QAPA中扩散限制所占比例分别为62.2%、82.2%和64.4%）、修正随机比率（LG：0.708，QA：0.664，QAPA：0.801）以及中性群落模型（LG：R = 0.665，QA：R = 0.630，QAPA：R = 0.665）表明，随机过程在土壤细菌群落组装过程中起主导作用。随机森林分析与Mantel检验共同表明，凋落物总磷（LTP）、土壤全氮（STN）、微生物生物量碳磷比（MCP）和土壤碳氮比（SCN）是影响细菌生态位宽度的关键因素；相反地，凋落物碳氮比（LCN）、溶解碳磷比（RCP）、MCP和SCN则是影响群落组装过程的关键决定因素。此外，偏最小二乘结构方程模型（PLS - SEM）结果强调了凋落物特征以及土壤性质及其相关的α多样性如何影响生态位宽度的变化，同时也塑造了整体的群落组装动态。本研究为理解不同森林生态系统中凋落物质量、土壤特征和微生物群落之间的协同关系提供了重要见解。
