State Key Laboratory of Agricultural Microbiology, College of Life Science and Technology, Huazhong Agricultural University, Wuhan, 430070, China.
Institute for Environmental Genomics, Department of Microbiology and Plant Biology, University of Oklahoma, Norman, OK, 73019, USA.
Environ Microbiol Rep. 2022 Feb;14(1):85-95. doi: 10.1111/1758-2229.13033. Epub 2021 Dec 27.
Microbial diversities are key drivers of soil multifunctionality in terrestrial ecosystems and are important for stability and productivity of ecosystems. However, the relationships among microbial diversity, community assembly and soil multifunctionality in forest ecosystems remained unclear. Here, soil samples were collected from a subtropical forest ecosystem, Lushan Mountain, China. High-throughput sequencing was employed to reveal the bacterial/fungal community assembly and biodiversity, as well as 10 enzyme activities were measured to assess soil multifunctionality. We found that soil multifunctionality was negatively regulated by bacterial and fungal alpha diversity, implying a higher potential functional redundancy in this forest soil. The null model indicated that deterministic processes (variable selection) and stochastic processes (dispersal limitation) govern bacterial and fungal phylogenetic turnover, respectively. Correlation analysis revealed that bacterial rather than fungal community assembly processes have a significant linkage to soil multifunctionality. These observations projected that soil variables could regulate multifunctionality by shaping the phylogenetic and taxonomic turnover of bacteria rather than fungi. In summary, our study highlighted that soil multifunctionality is mainly driven by bacterial diversity and community assembly processes while not fungal, presenting different views and knowledge of microbial diversity and community assembly processes in ecosystem functioning.
微生物多样性是陆地生态系统土壤多功能性的关键驱动因素,对生态系统的稳定性和生产力至关重要。然而,森林生态系统中微生物多样性、群落组装和土壤多功能性之间的关系仍不清楚。在这里,我们从中国亚热带森林生态系统庐山采集了土壤样本。我们采用高通量测序技术揭示了细菌/真菌群落组装和生物多样性,以及测量了 10 种酶活性来评估土壤多功能性。我们发现土壤多功能性受到细菌和真菌α多样性的负调控,这表明该森林土壤具有更高的潜在功能冗余。零模型表明,细菌和真菌的系统发育周转率分别受到确定性过程(变量选择)和随机性过程(扩散限制)的控制。相关分析表明,细菌群落组装过程与土壤多功能性具有显著的关联,而真菌群落组装过程则没有。这些观察结果表明,土壤变量可以通过塑造细菌而不是真菌的系统发育和分类群的周转率来调节多功能性。总之,我们的研究强调了土壤多功能性主要受细菌多样性和群落组装过程的驱动,而不是真菌,为我们提供了关于微生物多样性和群落组装过程在生态系统功能中的不同观点和认识。