Osburn Ernest D, Yang Gaowen, Rillig Matthias C, Strickland Michael S
Department of Soil and Water Systems, University of Idaho, Moscow, ID, USA.
College of Grassland Science and Technology, China Agricultural University, 100193, Beijing, China.
ISME Commun. 2023 Jul 3;3(1):66. doi: 10.1038/s43705-023-00273-1.
Ecosystem functions and services are under threat from anthropogenic global change at a planetary scale. Microorganisms are the dominant drivers of nearly all ecosystem functions and therefore ecosystem-scale responses are dependent on responses of resident microbial communities. However, the specific characteristics of microbial communities that contribute to ecosystem stability under anthropogenic stress are unknown. We evaluated bacterial drivers of ecosystem stability by generating wide experimental gradients of bacterial diversity in soils, applying stress to the soils, and measuring responses of several microbial-mediated ecosystem processes, including C and N cycling rates and soil enzyme activities. Some processes (e.g., C mineralization) exhibited positive correlations with bacterial diversity and losses of diversity resulted in reduced stability of nearly all processes. However, comprehensive evaluation of all potential bacterial drivers of the processes revealed that bacterial α diversity per se was never among the most important predictors of ecosystem functions. Instead, key predictors included total microbial biomass, 16S gene abundance, bacterial ASV membership, and abundances of specific prokaryotic taxa and functional groups (e.g., nitrifying taxa). These results suggest that bacterial α diversity may be a useful indicator of soil ecosystem function and stability, but that other characteristics of bacterial communities are stronger statistical predictors of ecosystem function and better reflect the biological mechanisms by which microbial communities influence ecosystems. Overall, our results provide insight into the role of microorganisms in supporting ecosystem function and stability by identifying specific characteristics of bacterial communities that are critical for understanding and predicting ecosystem responses to global change.
生态系统功能和服务在全球范围内受到人为全球变化的威胁。微生物是几乎所有生态系统功能的主要驱动因素,因此生态系统尺度的响应取决于常驻微生物群落的响应。然而,在人为压力下有助于生态系统稳定性的微生物群落的具体特征尚不清楚。我们通过在土壤中产生广泛的细菌多样性实验梯度、对土壤施加压力以及测量几种微生物介导的生态系统过程的响应,包括碳和氮循环速率以及土壤酶活性,来评估生态系统稳定性的细菌驱动因素。一些过程(如碳矿化)与细菌多样性呈正相关,多样性的丧失导致几乎所有过程的稳定性降低。然而,对这些过程的所有潜在细菌驱动因素的综合评估表明,细菌α多样性本身从未成为生态系统功能的最重要预测因子。相反,关键预测因子包括总微生物生物量、16S基因丰度、细菌ASV成员以及特定原核生物分类群和功能组(如硝化分类群)的丰度。这些结果表明,细菌α多样性可能是土壤生态系统功能和稳定性的有用指标,但细菌群落的其他特征是生态系统功能更强的统计预测因子,并且能更好地反映微生物群落影响生态系统的生物学机制。总体而言,我们的研究结果通过识别细菌群落的特定特征,为微生物在支持生态系统功能和稳定性方面的作用提供了见解,这些特征对于理解和预测生态系统对全球变化的响应至关重要。