Yu Haochen, Ren Guangqian, Huang Zhiyun, Qi Shanshan, Zhao Biying, Fan Xue, Zhu Zhaoqi, Dai Zhicong, Du Daolin
School of Emergency Management, School of Environment and Safety Engineering, Jiangsu University, Zhenjiang 212013, China.
Jiangsu Province Engineering Research Center of Green Technology and Contingency Management for Emerging Pollutants, Jiangsu University, Zhenjiang 212013, China.
Microorganisms. 2024 Nov 25;12(12):2415. doi: 10.3390/microorganisms12122415.
Global climate change and invasive plants significantly impact biodiversity and ecosystem functions. This study focuses on the effects of progressive warming on microbial communities within the invasion community, simulated through six stages of invasion progression, from minimal to dominant presence alongside native , in bulk soils collected from a natural habitat and cultivated under controlled greenhouse conditions. Utilizing high-throughput sequencing and microbial community analysis on 72 samples collected from the invasion community, the shifts in soil microbiota under varying warming scenarios were investigated (+0 °C, +1.15 °C and +1.86 °C). We observed significant shifts in invasion community soil bacteria in response to warming, with Acidobacteria, Actinobacteria, and others showing distinct responses between baseline and warmed conditions, while groups like Chlorobi and Cyanobacteria only differed significantly at higher temperature extremes. The random forests algorithm identified 14 taxa as biomarkers and a model was established to correlate invasion community soil microbiota with progressive warming. Co-occurrence network analysis revealed that moderate warming enhances microbial connectivity and the presence of a super-generalist, ASV 1160. However, further warming disrupts these networks by eliminating key generalists, revealing a potential reduction in network stability and diversity. These findings illuminate the dynamic responses of microbes in invasion community soil to varying temperature regimes, suggesting a model for successional dynamics and offering a deeper comprehension of microbial community shifts amid climatic fluctuations. This study delineates how warming significantly reshapes the soil microbial composition, potentially impacting 's invasion success unfavorably, thereby highlighting the importance of considering microbial dynamics in ecological management.
全球气候变化和外来入侵植物对生物多样性和生态系统功能产生了重大影响。本研究聚焦于渐进式变暖对入侵群落中微生物群落的影响，通过六个入侵阶段进行模拟，从最小程度到与本地物种共存并占据主导地位，样本取自自然栖息地的原状土壤，并在可控温室条件下进行培养。利用高通量测序技术和对从入侵群落采集的72个样本进行微生物群落分析，研究了不同变暖情景下（+0°C、+1.15°C和+1.86°C）土壤微生物群的变化。我们观察到，入侵群落土壤细菌因变暖而发生显著变化，酸杆菌门、放线菌门等在基线条件和变暖条件下表现出不同的反应，而绿菌门和蓝细菌等类群仅在极端高温下有显著差异。随机森林算法识别出14个分类单元作为生物标志物，并建立了一个模型来关联入侵群落土壤微生物群与渐进式变暖。共现网络分析表明，适度变暖增强了微生物的连通性，并出现了一个超级泛化菌ASV 1160。然而，进一步变暖会通过消除关键的泛化菌破坏这些网络，显示出网络稳定性和多样性可能降低。这些发现揭示了入侵群落土壤中微生物对不同温度 regime的动态响应，提出了一个演替动态模型，并提供了对气候波动中微生物群落变化的更深入理解。本研究描述了变暖如何显著重塑土壤微生物组成，可能对入侵成功产生不利影响，从而突出了在生态管理中考虑微生物动态的重要性。
