Coupling Bacterial Community Assembly to Microbial Metabolism across Soil Profiles

• Published in: mSystems 2020-06, Vol.5 (3)
• Main Authors: Luan, Lu, Liang, Chao, Chen, Lijun, Wang, Haotian, Xu, Qinsong, Jiang, Yuji, Sun, Bo
• Format: Article
• Language: English
• Subjects: Amino acids; Bacteria; bacterial community assembly; bacterial interactions; Biomass; Carbohydrates; Carbon; Dispersal; Ecological and Evolutionary Science; Ecology; environmental filtering; Fertilization; Influence; Manures; Metabolism; microbial metabolism; migration rate; Mineralization; Nitrates; Nitrogen; Organic soils; Phosphorus; Research Article; Soil microorganisms; soil profile; Soil profiles; Stochasticity; Variance analysis
• ISSN: 2379-5077; 2379-5077
• DOI: 10.1128/mSystems.00298-20

Soil microbial community assembly is crucial for understanding the mechanisms of microbial communities that regulate ecosystem-level functioning. The relative contributions of stochastic and deterministic processes to microbial community assembly remain poorly defined, and major questions exist concerning the soil organic carbon (SOC) dynamics of microbial community assembly in deep soil. Here, the bacterial community assembly processes were explored across five soil profile depths (up to 80 cm) during a 15-year field experiment involving four fertilization regimes. We found that the bacterial community assembly was initially governed by deterministic selection in topsoil but was progressively structured by increasing stochastic dispersal with depth. The migration rate (m) and β-null deviation pattern supported the hypothesis of a relatively greater influence of dispersal in deep soil, which was correlated with bacterial community assembly by stochastic processes. These changes in the entire community assembly reflected consistent assembly processes of the two most dominant phyla, Acidobacteria and Chloroflexi. Structural equation modeling showed that soil features (pH and total phosphorus) and bacterial interactions (competition and network complexity) were significantly related to bacterial community assembly in the 0-to-10-cm and 10-to-20-cm layers. Partial Mantel tests, structural equation modeling, and random forest modeling consistently indicated a strong and significant correlation between bacterial community assemblages and SOC dynamics, implying that bacterial assembly processes would potentially suppress SOC metabolism and mineralization when the contributions of stochastic dispersal to communities increased in deeper layers. Our results have important implications for integrating bacterial community assembly processes into the predictions of SOC dynamics. IMPORTANCE We have provided a framework to better understand the mechanisms governing the balance between stochastic and deterministic processes and to integrate the shifts in community assembly processes with microbial carbon metabolism. Our study reinforced that environmental filtering and bacterial cooccurrence patterns influence the stochastic/deterministic continuum of soil bacterial community assembly and that stochasticity may act through deeper soil layers to influence carbon metabolism. Delineating theoretically the potential linkages between community assembly and SOC dynamics across