Effects of Land Use Changes from Paddy Fields on Soil Bacterial Communities in a Hilly and Mountainous Area

Continental-Scale Paddy Soil Bacterial Community Structure, Function, and Biotic Interaction

Rice paddy soil-associated microbiota participate in biogeochemical processes that underpin rice yield and soil sustainability, yet continental-scale biogeographic patterns of paddy soil microbiota remain elusive. The soil bacteria of four typical Chinese rice-growing regions were characterized and compared to those of nonpaddy soils. The paddy soil bacteria were significantly less diverse, with unique taxonomic and functional composition, and harbored distinct cooccurrence network topology. Both stochastic and deterministic processes shaped soil bacteria assembly, but paddy samples exhibited a stronger deterministic signature than nonpaddy samples. Compared to other environmental factors, climatic factors such as mean monthly precipitation and mean annual temperature described most of the variance in soil bacterial community structure. Cooccurrence network analysis suggests that the continental biogeographic variance in bacterial community structure was described by the competition between two mutually exclusive bacterial modules in the community. Keystone taxa identified in network models (Anaerolineales, Ignavibacteriae, and Deltaproteobacteria) were more sensitive to changes in environmental factors, leading us to conclude that environmental factors may influence paddy soil bacterial communities via these keystone taxa. Characterizing the uniqueness of bacterial community patterns in paddy soil (compared to nonpaddy soils) at continental scales is central to improving crop productivity and resilience and to sustaining agricultural soils.

IMPORTANCE Rice fields provide food for over half of the world’s human population. The ecology of paddy soil microbiomes is shaped by human activities, which can have a profound impact on rice yield, greenhouse gas emissions, and soil health. Investigations of the soil bacteria in four typical Chinese rice-growing regions showed that (i) soil bacterial communities maintain highly modularized species-to-species network structures; (ii) community patterns were shaped by the balance of integrated stochastic and deterministic processes, in which homogenizing selection and dispersal limitation dominate; and (iii) deterministic processes and climatic and edaphic factors influence community patterns mainly by their impact on highly connected nodes (i.e., keystone taxa) in networks. Characterizing the unique ecology of bacterial community patterns in paddy soil at a continental scale may lead to improved crop productivity and resilience, as well as sustaining agricultural soils.

Bacterial community variations in paddy soils induced by application of veterinary antibiotics in plant-soil systems

Soil bacterial communities have complex regulatory networks, which are mainly associated with soil fertility and ecological functions, and are likely to be disturbed due to antibiotics applications. The impact of antibiotics, particularly in mixtures form, on bacterial communities in different paddy soils is poorly understood. Using pyrosequencing techniques of 16 S rRNA genes, this study investigated the synergistic effects of veterinary antibiotics (sulfadiazine, sulfamethoxazole, trimethoprim, florfenicol, and clarithromycin) on bacterial communities in a soil-bacteria-plant system. Rice was grown under controlled greenhouse conditions where unplanted and planted treatments were doped with 200 µg kg^-1 of combined antibiotics over a period of 3 months. Bacterial richness remained unaltered, while a significant decline was observed in bacterial diversity due to antibiotics in the four paddy soils. Bacteroidetes and Acidobacteria were increased, while Actinobacteria and Firmicutes decreased under antibiotics exposure. Despite antibiotics perturbation, compositional variations were mainly attributed to the different paddy soils which harbor distinct bacterial communities. Haliangium and Gaiella were among the sensitive genera that were negatively correlated to antibiotics perturbation. Additionally, electrical conductivity, total organic carbon, and total nitrogen of soil solution were the key physiochemical indices which significantly influenced the structure of bacterial communities in the paddy soils. These findings expanded our knowledge of effects from synergistic antibiotics application and variations in bacterial communities among different paddy soils.

The chemodiversity of paddy soil dissolved organic matter correlates with microbial community at continental scales

BACKGROUND

Paddy soil dissolved organic matter (DOM) represents a major hotspot for soil biogeochemistry, yet we know little about its chemodiversity let alone the microbial community that shapes it. Here, we leveraged ultrahigh-resolution mass spectrometry, amplicon, and metagenomic sequencing to characterize the molecular distribution of DOM and the taxonomic and functional microbial diversity in paddy soils across China. We hypothesized that variances in microbial community significantly associate with changes in soil DOM molecular composition.

RESULTS

We report that both microbial and DOM profiles revealed geographic patterns that were associated with variation in mean monthly precipitation, mean annual temperature, and pH. DOM molecular diversity was significantly correlated with microbial taxonomic diversity. An increase in DOM molecules categorized as peptides, carbohydrates, and unsaturated aliphatics, and a decrease in those belonging to polyphenolics and polycyclic aromatics, significantly correlated with proportional changes in some of the microbial taxa, such as Syntrophobacterales, Thermoleophilia, Geobacter, Spirochaeta, Gaiella, and Defluviicoccus. DOM composition was also associated with the relative abundances of the microbial metabolic pathways, such as anaerobic carbon fixation, glycolysis, lignolysis, fermentation, and methanogenesis.

CONCLUSIONS

Our study demonstrates the continental-scale distribution of DOM is significantly correlated with the taxonomic profile and metabolic potential of the rice paddy microbiome. Abiotic factors that have a distinct effect on community structure can also influence the chemodiversity of DOM and vice versa. Deciphering these associations and the underlying mechanisms can precipitate understanding of the complex ecology of paddy soils, as well as help assess the effects of human activities on biogeochemistry and greenhouse gas emissions in paddy soils.