Center for Nuclear Energy in Agriculture, University of São Paulo, Piracicaba, SP, 13400-970, Brazil.
Department of Land, Air and Water Resources, University of California - Davis, Davis, CA, 95616, USA.
Microb Ecol. 2020 Jan;79(1):110-122. doi: 10.1007/s00248-019-01401-y. Epub 2019 Jun 27.
Forest-to-agriculture conversion has been identified as a major threat to soil biodiversity and soil processes resilience, although the consequences of long-term land use change to microbial community assembly and ecological processes have been often neglected. Here, we combined metagenomic approach with a large environmental dataset, to (i) identify the microbial assembly patterns and, (ii) to evaluate the ecological processes governing microbial assembly, in bulk soil and soybean rhizosphere, along a long-term forest-to-agriculture conversion chronosequence, in Eastern Amazon. We hypothesized that (i) microbial communities in bulk soil and rhizosphere have different assembly patterns and (ii) the weight of the four ecological processes governing assembly differs between bulk soil and rhizosphere and along the chronosequence in the same fraction. Community assembly in bulk soil fitted most the zero-sum multinomial (ZSM) neutral-based model, regardless of time. Low to intermediate dispersal was observed. Decreasing influence of abiotic factors was counterbalanced by increasing influence of biotic factors, as the chronosequence advanced. Undominated ecological processes of dispersal limitation and variable selection governing community assembly were observed in this soil fraction. For soybean rhizosphere, community assembly fitted most the lognormal niche-based model in all chronosequence areas. High dispersal and an increasing influence of abiotic factors coupled with a decreasing influence of biotic factors were found along the chronosequence. Thus, we found a dominant role of dispersal process governing microbial assembly with a secondary effect of homogeneous selection process, mainly driven by decreasing aluminum and increased cations saturation in soil solution, due to long-term no-till cropping. Together, our results indicate that long-term no-till lead community abundances in bulk soil to be in a transient and conditional state, while for soybean rhizosphere, community abundances reach a periodic and permanent distribution state. Dominant dispersal process in rhizosphere, coupled with homogeneous selection, brings evidences that soybean root system selects microbial taxa via trade-offs in order to keep functional resilience of soil processes.
森林转为农业已被确定为土壤生物多样性和土壤过程恢复力的主要威胁,尽管长期土地利用变化对微生物群落组装和生态过程的后果经常被忽视。在这里,我们结合宏基因组方法和大型环境数据集,(i)确定微生物组装模式,以及(ii)评估控制微生物组装的生态过程,在长期森林转为农业的时间序列中,在东亚马孙地区的土壤和大豆根际中。我们假设(i)土壤和根际中的微生物群落具有不同的组装模式,以及(ii)控制组装的四个生态过程的权重在土壤和根际之间以及在同一部分的时间序列中不同。土壤中群落的组装最符合零和多项(ZSM)中性基础模型,无论时间如何。观察到低到中等的扩散。随着时间的推移,生物因素的影响增加,而环境因素的影响减少。在这种土壤部分中,观察到以扩散限制和可变选择为主导的非主导生态过程。对于大豆根际,群落组装在所有时间序列区域都最符合对数正态生态位基础模型。随着时间的推移,发现扩散率高,环境因素的影响增加,生物因素的影响减少。因此,我们发现扩散过程在微生物组装中起主导作用,其次是同质选择过程,主要由长期免耕导致土壤溶液中铝减少和阳离子饱和度增加驱动。总之,我们的研究结果表明,长期免耕导致土壤中群落丰度处于瞬态和条件状态,而对于大豆根际,群落丰度达到周期性和永久性分布状态。根际中占主导地位的扩散过程,加上同质选择,为大豆根系通过权衡选择微生物类群以保持土壤过程功能恢复力提供了证据。