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Although studies of biogeography in soil bacterial communities have attracted considerable attention, the generality of these patterns along with assembly processes and underlying drivers is poorly understood in the inner tissues of plants. Plant tissues provide unique ecological habitats for microorganisms, which play an essential role in plant performance. Here, we compared core bacterial communities among five soil–plant associated compartments of common bean across five sampling sites in China. Neutral and null modelling consistently suggested that stochastic processes dominated the core community assembly processes and escalated from the belowground compartments to the inner tissues of aerial plant parts. The multiple distance‐decay relationships also varied and had flattened patterns in the stem endosphere, which were shaped by distinct environmental factors in each compartment. Coexistence patterns also varied in topological features, in addition with the sparsest networks in the stem endosphere resulted from the interaction with the stochastic processes. This study considerably expanded our understanding of various biogeographic patterns, assembly processes, and the underlying mechanisms of core bacterial communities between aerial and belowground compartments of common bean. That will provide a scientific basis for the reasonable regulation of core bacterial consortia to get better plant performance. [ABSTRACT FROM AUTHOR]

Summary: Soil functions and processes are driven by complex microbial interactions. It is, therefore, critical to understand the coexistence patterns of soil microbiota, especially in fragile alpine ecosystems. We identified biogeographic patterns in the network‐level topological features of the soil microbial co‐occurrence network in the Tibetan alpine grasslands, based on high‐throughput sequencing. We verified that soil pH was the most important environmental variable for predicting network‐level topological features of soil microbial co‐occurrence networks. Associations among soil microbiota were enhanced with increasing pH (5.17–8.92), and the network was the most stable at neutral pH. Moreover, node‐level topological features suggested that the archaeal operational taxonomic units, compared with bacterial operational taxonomic units, hold a central role in the co‐occurrence network. Network‐level topological features revealed closer connections among soil microbiota in the steppe ecosystem than in the meadow ecosystem. Therefore, our study demonstrated that soil pH served as a critical environmental filter that influenced the potential associations and ecological signature of soil microbiota in the Tibetan alpine grasslands. These findings provide a new perspective on the distinct biogeographic patterns of co‐occurrence networks, to explore the ecological role of soil microbiota and thus help manage soil bacterial and archaeal communities for provisioning alpine ecosystem services. [ABSTRACT FROM AUTHOR]

Summary: The factors determining stochastic and deterministic processes that drive microbial community structure, specifically the balance of abundant and rare bacterial taxa, remain underexplored. Here we examined biogeographic patterns of abundant and rare bacterial taxa and explored environmental factors influencing their community assembly processes in agricultural fields across eastern China. More phylogenetic turnover correlating with spatial distance was observed in abundant than rare sub‐communities. Homogeneous selection was the main assembly process for both the abundant and rare sub‐communities; however, the abundant sub‐community was more tightly clustered phylogenetically and was more sensitive to dispersal limitations than the rare sub‐community. Rare sub‐community of rice fields and abundant sub‐community of maize fields were more governed by stochastic assembly processes, which showed higher operational taxonomic unit richness. We propose a conceptual paradigm wherein soil pH and mean annual temperature mediate the assembly of the abundant and rare sub‐communities respectively. A higher soil pH leads to deterministic assembly of the abundant sub‐community. For the rare sub‐community, the dominance of stochasticity in low‐temperature regions indicates weaker niche‐based exclusion and the arrival of more evolutionary lineages. These findings suggest that the community assembly processes for abundant and rare bacterial taxa are dependent on distinct environmental variables in agro‐ecosystems. [ABSTRACT FROM AUTHOR]