Revealing the linkages between community assembly and species coexistence, which is crucial for the understanding of ecosystem diversity and functioning, is a fundamental but rarely investigated subject in microbial ecology. Here we examined archaeal, bacterial, and fungal community assembly in adjacent pairs of maize (water-unsaturated) and rice (watersaturated) fields across different habitats and regions throughout Eastern China. The high-throughput sequencing dataset was analyzed by variation partitioning, null model, and neutral community model analyses. We demonstrated that microbial community assembly was governed more by species sorting than by dispersal limitation in maize fields, and to a lesser extent in rice fields. The relative importance of species sorting in maize soils was greater at low latitudes than at high latitudes, while rice soils exhibited an opposite trend. Microbial co-occurrence associations tended to be higher when communities were primarily driven by dispersal limitation relative to species sorting. There were greater community dissimilarities between maize and rice soils in low-latitude regions, which was consistent with the higher proportion of negative edges in the correlation networks. The results indicate that a balance between species sorting and dispersal limitation mediates species coexistence in soil microbiomes. This study enhances our understanding of contemporary coexistence theory in microbial ecosystems.
BackgroundSoil microbiomes play an important role in the services and functioning of terrestrial ecosystems. However, little is known of their vertical responses to restoration process and their contributions to soil nutrient cycling in the subsurface profiles. Here, we investigated the community assembly of soil bacteria, archaea, and fungi along vertical (i.e., soil depths of 0–300 cm) and horizontal (i.e., distance from trees of 30–90 cm) profiles in a chronosequence of reforestation sites that represent over 30 years of restoration.ResultsIn the superficial layers (0–80 cm), bacterial and fungal diversity decreased, whereas archaeal diversity increased with increasing soil depth. As reforestation proceeded over time, the vertical spatial variation in bacterial communities decreased, while that in archaeal and fungal communities increased. Vertical distributions of the soil microbiomes were more related to the variation in soil properties, while their horizontal distributions may be driven by a gradient effect of roots extending from the tree. Bacterial and archaeal beta-diversity were strongly related to multi-nutrient cycling in the soil, respectively, playing major roles in deep and superficial layers.ConclusionsTaken together, these results reveal a new perspective on the vertical and horizontal spatial variation in soil microbiomes at the fine scale of single trees. Distinct response patterns underpinned the contributions of soil bacteria, archaea, and fungi as a function of subsurface nutrient cycling during the reforestation of ex-arable land.Electronic supplementary materialThe online version of this article (10.1186/s40168-018-0526-0) contains supplementary material, which is available to authorized users.
Revealing the fundamental mechanisms for maintaining and generating species diversity is critical to determine the links between community stability and ecosystem function (Hanson, Fuhrman,
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.
To improve the knowledge about the biogeographic patterns of bacteria in soils contaminated with crude oil, we studied the effects of local geochemical properties and geographic distance on bacterial community structure in oil contaminated soil in five oil refineries (46 to 360 km apart). The microbial structure was significantly affected by soil environmental factors such as pH, total petroleum hydrocarbons (TPH), total nitrogen, and cadmium level. Microbial alpha-diversity was positively correlated with pH but negatively correlated with TPH. Among sampling sites, the community dissimilarities increased with spatial distance. Variation of bacterial community was mostly attributed to simultaneous effects of spatial distance and environmental factors, and purely spatial distance contributed more to the variation. Microbial generalist OTUs were broadly distributed and dominant in contaminated soils. Their populations were in low proportion (15.75%), but they had high relative abundance (65.05%), and some were associated with TPH-degradation. Network analysis indicated that microbial communities had non-random co-occurrence patterns. Keystone taxa were Rubrivivax, Nitrospira, Methylotenera, Methyloversatilis and Acidaminobacter. Microbial taxa from the same module had strong ecological linkages and were involved in biological electron-transfer, C and N-cycles, and organic contaminant degradation. Our results indicate that the same microbial groups with TPH-degradation ability can be assembled from indigenous microorganisms in separate regions through long term exposure to contamination.
Revealing the biogeographies and ecologies of rare and abundant microorganisms is crucial to understand ecosystem diversity and function. In this study, we investigated the biogeographic assemblies and ecological diversity patterns of rare and abundant bacteria in long-term oil-contaminated soils at intervals of 46-360 km by performing high-throughput sequencing of 16S rRNA genes. The results clearly revealed distinct distribution patterns for rare and abundant bacteria in soil samples. Rare taxa were unevenly distributed; however, abundant taxa were ubiquitous across all samples. Both rare and abundant subcommunities showed significant distance-decay relationships, and their assemblies were driven by different factors. The rare subcommunity primarily exhibited a spatially structured distribution (i.e., stochastic processes), while edaphic factors (i.e., deterministic processes) largely contributed to the structure of the abundant subcommunity. A network analysis revealed closer relationships between abundant bacteria and their heightened influence on other co-occurrences in the community compared with rare species. In conclusion, rare microbial taxa may play potential roles in maintaining ecosystem diversity, although they do not appear to be central to microbial networks. Abundant microbes are vital for microbial co-occurrences in oil-contaminated soils, and high relative abundance and ubiquitous distribution suggest potential roles in the degradation of organic pollutants.
The microbiomes of rhizocompartments (nodule endophytes, root endophytes, rhizosphere and root zone) in soya bean and alfalfa were analysed using high-throughput sequencing to investigate the interactions among legume species, microorganisms and soil types. A clear hierarchical filtration of microbiota by plants was observed in the four rhizocompartments - the nodule endosphere, root endosphere, rhizosphere and root zone - as demonstrated by significant variations in the composition of the microbial community in the different compartments. The rhizosphere and root zone microbial communities were largely influenced by soil type, and the nodule and root endophytes were primarily determined by plant species. Diverse microbes inhabited the root nodule endosphere, and the corresponding dominant symbiotic rhizobia belonged to Ensifer for alfalfa and Ensifer-Bradyrhizobium for soya bean. The nonsymbiotic nodule endophytes were mainly Proteobacteria, Actinobacteria, Firmicutes and Bacteroidetes. The variation in root microbial communities was also affected by the plant growth stage. In summary, this study demonstrated that the enrichment process of nodule endophytes follows a hierarchical filtration and that the bacterial communities in nodule endophytes vary according to the plant species.
Revealing the ecological roles of the core microbiota in community maintaining and soil nutrient cycling is crucial for understanding ecosystem function, yet there is a dearth of continental-scale studies on this fundamental topic in microbial ecology. Here, we collected 251 soil samples from adjacent pairs of maize and rice fields at a continental scale in eastern China. We revealed the major ecological roles of the core microbiota in maintaining complex connections between bacterial taxa and their associations with belowground multinutrient cycling. By identifying the habitat preferences of the core microbiota, we built a continental atlas for mapping the spatial distributions of bacteria in agro-soils, which helps forecast the responses of agricultural ecosystems to anthropogenic disturbance. The multinutrient cycling index for maize and rice soils was related to bacterial α-diversity and β-diversity, respectively. Rice soils exhibited higher bacterial diversity and closer bacterial cooccurrence relationships than maize soils. In contrast to the macro- or microecological latitudinal richness patterns in natural terrestrial ecosystems, the bacteria in maize soils showed higher richness at high latitudes; however, this trend was not observed in rice soils. This study provides a new perspective on the distinct bacterial biogeographic patterns to predict the ecological roles of the core microbiota in agro-soils and thus helps manage soil bacterial communities for better provisioning of key ecosystem services. IMPORTANCE Disentangling the roles of the core microbiota in community maintaining and soil nutrient cycling is an important yet poorly understood topic in microbial ecology. This study presents an exploratory effort to gain predictive understanding of the spatial atlas and ecological roles of the core microbiota. A systematic, continental-scale survey was conducted using agro-soils in adjacent pairs of maize (dryland) and rice (wetland) fields across eastern China. The results indicate that the core microbiota play major ecological roles in maintaining complex connections between bacterial taxa and are associated with belowground multinutrient cycling. A continental atlas was built for mapping the bacterial spatial distributions in agro-soils through identifying their habitat preferences. This study represents a significant advance in forecasting the responses of agricultural ecosystems to anthropogenic disturbance and thus helps manage soil bacterial communities for better provisioning of key ecosystem services—the ultimate goal of microbial ecology.
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