Spatial scale affects the relative role of stochasticity versus determinism in soil bacterial communities in wheat fields across the North China Plain

Biodegradation of acetochlor by microbial consortium AT1: microcosm centric microbiomic-metabolomics mechanisms and environmental remediation feasibility

The excessive use of herbicide acetochlor (ACT) threatens crop health and the environment, necessitating effective remediation strategies. This study focused on a consortium named AT1, enriched from ACT-contaminated soil. Under optimized conditions (25 °C, pH 7, 1 % inoculum), AT1 almost completely degraded ACT (50-1000 mg/L) within 6-12 days. High-throughput sequencing of 16S rRNA gene revealed a reduction in community diversity over time, with Sphingomonas (58.6 %) and Diaphorobacter (26.43 %) as dominant taxa. A structure model and network analysis indicated strong microbial competition during the peak degradation. Predicted functions and liquid chromatography-mass spectrometry based metabolomics data identified benzene ring intermediates during ACT degradation, including 2,6-dimethylaniline, resorcinol, phenol, 3-ethyl-1,2-benzenediol, 1,2,3-trihydroxybenzene, phloroglucinol, and benzene-1,2,4-triol. Joint omics analysis revealed that AT1 likely degrades ACT via N-dealkylation by Pseudomonas, amide bond hydrolysis by Diaphorobacter, and carboxylation and hydroxylation by Sphingomonas, leading to the formation of these intermediate metabolites. Moreover, AT1 efficiently degraded key intermediates, particularly 2,6-dimethylaniline, phenol, and resorcinol, further enhancing ACT mineralization. Notably, AT1 efficiently degraded ACT in soil, resulting in a significant decrease in ACT environmental residues. These findings provide valuable insights for the discovery and identification of herbicide-degrading bacterial resources and the metabolic transformation of herbicides, and developing approaches for pollution control and biodegradation of amide herbicides.

Deciphering factors influencing planktonic and sedimentary microbial assembly processes in Midwest salinity lakes

The salt lake ecosystem, characterized by extreme environmental gradients, harbors microbes that uniquely adapt to high salt stress through natural selection. However, how abiotic and biotic factors shape the microbial community assembly in Yuncheng Salt Lakes remains unclear. Here, we investigated the assembly processes and meta co-occurrence patterns of microbiota in both water and sediment sampled from 14 distinct wide range of salinity lakes in the Shanxi Yuncheng area, Midwest of China, using 16S rRNA and 18S rRNA gene sequencing technology combined with multivariate ecological and statistical methods. Habitat differentiation led to the differences in microbial diversity, co-occurrence patterns, and community assembly between sedimentary and planktonic communities. Sedimentary prokaryotes were more shaped by deterministic processes than planktonic bacterial communities. Salinity was a major abiotic factor influencing the balance between stochastic and deterministic processes in both sediment and water. Enhanced microbial interactions within sediments exhibited a more prominent impact in shaping community assembly, as indicated by the stronger association between network-inferred species and prokaryotic βNTI. Moreover, we revealed significant differences in how core species concerning βNTI responded to biotic and abiotic factors. Our findings elucidated the ecological process underlying microbial communities in Yuncheng Salt Lakes and shed light on the mechanism of microorganisms to maintain community complexity and diversity in the extreme environment. KEY POINTS: • Sedimentary prokaryotes were more shaped by deterministic processes than planktonic prokaryotic communities. • Salinity was a major factor influencing the balance between stochastic and deterministic process. • Inter-domain and intra-domain symbiotic interactions within sedimentary communities represent key biotic factors influencing their community assembly.

Salinity-driven differentiation of bacterial and fungal communities in coastal wetlands: Contrasting assembly processes and spatial dynamics

Coastal wetlands are critical for carbon sequestration and coastal protection, yet increasingly threatened by salinization. While soil microbiota mediate these ecosystems' functioning and stability, the mechanisms governing bacterial and fungal assembly across intermediate spatial scales remain poorly resolved. Here, we investigated microbial communities across a 30-km seaward-to-landward gradient in the Yellow River Delta during May 2020 using 16S rRNA and ITS sequencing coupled with ecological modeling. Our results revealed a striking dichotomy: bacterial communities were predominantly structured by deterministic environmental filtering (explained 49.2 % of variation), whereas fungal communities exhibited stronger spatial dependence (Mantel r = 0.28 vs 0.06 for bacteria, P < 0.01). Null model analyses confirmed salinity-driven variable selection for bacteria (60.0 % contribution) and stochastic homogenizing dispersal for fungi (44.9 %). Microbial interaction network analysis (based on taxon co-occurrence patterns) demonstrated the fungal network resisted salinity perturbations through high modularity (0.87 vs 0.68 for bacteria) and short path lengths (3.10 vs 4.90). Path analysis further showed geographic distance indirectly stabilized fungal networks (indirect effect = 0.33) but minimally affected bacteria. These findings highlight contrasting ecological strategies: bacteria prioritize deterministic variable selection for rapid resource acquisition, whereas fungi rely on homogenizing dispersal for spatial stability. These findings advance our understanding of microbial responses to salinization under climate change, informing adaptive management strategies to preserve microbial-mediated carbon storage and ecosystem functionality in salt-affected soils.

The Structure, Assembly Processes of Microbial Communities and Their Effects on the Quality of Goat MEAT During Chilled Storage (4 °C)

Microbial community succession is closely related to the corruption of meat, but there are few studies on microbial community assembly and their relationship with physicochemical indexes in meat during chilled storage (4 °C). This study aimed to investigate the mechanism of bacterial community assembly and the effect of microbial succession on quality changes during the preservation of goat meat. The results showed that the stochastic process was the primary driving mechanism during community construction. During the chilled storage, the predominant bacteria in the three groups at the genus level were Acinetobacter and Pseudomonas. With the extension of storage duration, the relative abundance of Pseudomonas in samples from local markets and slaughterhouses increased rapidly and gradually acted as dominant flora during the succession process. Spearman correlation analysis revealed that Pseudomonas exhibited a highly significant positive association with total volatile basic nitrogen (TVB-N) and a highly significant negative correlation with redness (p < 0.01), which is crucial in the degradation of meat quality. These results provide guidance for regulating the microbial communities of goat meat during preservation by optimizing the storage conditions to delay the deterioration of goat meat.

Diazotrophic community difference between specialists and generalists in response to arsenic and antimony contaminations

Diazotrophs are pivotal in bioremediation, particularly in environments contaminated by metal(loid)s. Despite their significance, the specific impacts of such contamination on the diverse functional groups of soil diazotrophs, including both generalists and specialists, are not well understood. Our study examines the influences of antimony and arsenic contamination on the ecological functions of these diazotrophic groups in areas with high (HC) and low (LC) contamination. Utilizing geochemical analyses, nitrogenase gene (nifH) sequencing, and robust statistical approaches, we assessed the composition and distribution patterns of diazotrophs across different contamination levels. Our results show consistent alpha diversity among diazotrophic subcommunities in both HC and LC sites, highlighting their resilience to metal-induced stress. Generalists exhibited significant compositional shifts between HC and LC sites, whereas specialists remained stable. Network analyses revealed that specialists more frequently occupy central roles than generalists, yet metal stress displaces both groups from these positions within the networks. Deterministic processes were identified as the dominant factors influencing community assembly for both subcommunities. While MST values suggested a similar balance of deterministic and stochastic processes between HC and LC sites, the findings indicate that metal(loid) contamination may still contribute to ecological selection, particularly through Sb and As influencing generalist and specialist composition. These results provide valuable insights into the differential responses of generalist and specialist subcommunities to metal contamination, informing improved ecosystem management and bioremediation strategies.

Distinct Assembly Patterns of Soil Bacterial and Fungal Communities along Altitudinal Gradients in the Loess Plateau's Highest Mountain

A critical issue in microbial ecology is quantifying the relative contributions of deterministic and stochastic processes to microbial community assembly, and predicting ecosystem function by understanding the ecological processes of community composition is an integral part. However, the mechanisms driving microbial community assembly along altitudinal gradients in mountain ecosystems remain largely unexplored. Here, we used high-throughput sequencing to examine the structural characteristics and diversity maintenance mechanisms of soil bacterial and fungal communities along an altitudinal gradient (2632-3661 m) in Mahan Mountain, the highest peak of the Loess Plateau. Proteobacteria, Acidobacteriota and Actinobacteriota dominated the bacterial communities, while Ascomycota, Basidiomycota and Mortierellomycota were the predominant fungal groups. Although elevation did not significantly affect bacterial and fungal alpha diversity, notable shifts in community structure were observed along the altitudinal gradients. Bacterial communities were predominantly shaped by deterministic processes, leading to pronounced structural and compositional differentiation across altitudes. In contrast, fungal community assembly was primarily determined by a combination of deterministic and stochastic processes, leading to small pronounced structural divergence. The interplay of topography, climate, and soil conditions influenced the altitudinal distribution and community structure of soil bacteria in this mountain ecosystem.

Bioclimatic zonation and spatial-scale dependence of lacustrine microbial assemblages

Bioclimatic zonation is critical for understanding how climate shapes biodiversity and biogeographic patterns. However, existing studies have primarily focused on macroorganisms, leaving microbial communities largely underexplored. This study seeks to address this gap through extensive sampling of bacterial communities from 931 sediment samples across 199 lakes in China. Based on the obtained data, we identified five distinct lacustrine microbial bioclimatic zones, each showing significant differences in multiple facets of bacterial diversity (i.e., alpha, beta, and gamma diversity) and clear bioclimatic zone-dependent microbial biogeographic patterns. Notably, the alpha and beta diversity of the bacterial communities showed opposing patterns across bioclimatic zones. Dominant environmental variables-specifically mean annual temperature, elevation, lake hydrological variables, and sediment pH-exerted contrasting effects on the alpha and beta diversity and played critical roles in shaping microbial community distribution at different spatial scales. At continental scales, predominant geographic and climatic variables dictated the patterns of bioclimatic zonation of lacustrine microbial communities. At regional scales, hydrological variables influenced the dispersal capacity of lake microbes, whereas sediment physicochemical variables were the most important selection factors shaping local microbial communities. Furthermore, our findings indicated that bioclimatic boundaries substantially enhanced the contribution of variable selection on bacterial community assembly and led to marked changes in distance-decay relationships in community dissimilarities. Overall, this study established a continental bioclimatic framework for lacustrine microbial communities, clarifying how environmental variables control microbial distributions across spatial scales, providing new insights into microbial biogeography, and advancing our knowledge about biodiversity under future climate change scenarios.

The Same Source of Microbes has a Divergent Assembly Trajectory Along a Hot Spring Flowing Path

Hot spring microbial mats represent intricate biofilms that establish self-sustaining ecosystems, hosting diverse microbial communities which facilitate a range of biochemical processes and contribute to the structural and functional complexity of these systems. While community structuring across mat depth has received substantial attention, mechanisms shaping horizontal spatial composition and functional structure of these communities remain understudied. Here, we explored the contributions of species source, local environment and species interaction to microbial community assembly processes in six microbial mat regions following a flow direction with a temperature decreasing from 73.3°C to 52.8°C. Surprisingly, we found that despite divergent community structures and potential functions across different microbial mats, large proportions of the community members (45.50%-80.29%) in the recipient mat communities originated from the same source community at the upper limit of temperature for photosynthetic life. This finding indicated that the source species were dispersed with water and subsequently filtered and shaped by local environmental factors. Furthermore, critical species with specific functional attributes played a pivotal role in community assembly by influencing potential interactions with other microorganisms. Therefore, species dispersal via water flow, environmental variables, and local species interaction jointly governed microbial assembly, elucidating assembly processes in the horizontal dimension of hot spring microbial mats and providing insights into microbial community assembly within extreme biospheres.

A critical review of microbial profiles in black and odorous waters

Black and odorous waters (BOWs) are a serious environmental problem frequently reported over the past few decades. Microorganisms are identified as implementors of the black and odorous phenomenon, which play a crucial role in the decomposition and transformation of pollutants within the BOWs. However, the information on the role of microorganisms in BOWs remains elusive. BOWs are characterized by high concentrations of organic compounds and limited oxygen inputs, which have facilitated the emergence of distinct microbial species. The algae, hydrolytic and fermentative bacterium, sulfate-reducing bacteria, Fe-reducing bacteria and other microorganisms play an important role in the process of blackening and odorization of waters. Studying these specific microbial taxonomies provides valuable insights into their adaptations and contributions to the overall functioning of BOWs. This study comprehensively reviews 1) the microbial community structure, assembly and succession in BOWs; 2) the key microbial profiles involved in BOWs formation; 3) the interspecies interactions process in the BOWs, which are the issues easily overlooked but deserve further research and development.

Influence of Soil Physicochemical Properties and Inter-Root Microbial Communities on the Inhibition of Anthracnose in Peppers

Anthracnose is a widespread plant disease affecting vegetables, flowers, crops, and fruit trees, causing significant economic losses. It occurs at various stages of pepper growth, leading to rotting and shedding in later stages. The aim of this study was to explore the relationship with anthracnose occurrence by analyzing the physicochemical properties and microbiota changes in the inter-root soil of pepper under different susceptibility levels to reveal the key microecological factors and dominant microbial populations and to provide reference for ecological control. Illumina Miseq sequencing was first used to evaluate the physicochemical properties and microbial taxa in pepper inter-root soil across different health statuses and identify key parameters associated with anthracnose. Subsequently, PICRUSt2 (systematic genetic Investigation of communities by Reconstruction of observed States 2) and FUNGuild (Fungi Functional Guild) V1.0 online platform were used to predict the activities of inter-root bacteria and fungi. The findings indicated that healthy peppers had significantly higher inter-root soil nutrient levels and enzyme activity compared to sensitive peppers. There were significant differences between their community structures. In alpha-diversity analysis, inter-root soil microbial richness and diversity were significantly higher in healthy peppers than in susceptible peppers. At the bacterial taxonomic level, the comparative prevalence of Acidobacteria in highly resistant plants, resistant plants, and susceptible plants decreased sequentially. At the genus level, the relative abundance of Vicinamibacteraceae and RB41 was markedly elevated in disease-resistant inter-root soils than in disease-susceptible soils. At the fungal level, the comparative prevalence of Ascomycetes in highly resistant plants, resistant plants, and susceptible plants increased sequentially. Differences in function are mainly manifested in apoptosis and mycelial development.

Enhanced Release and Reactivity of Soil Water-Extractable Organic Matter Following Wildfire in a Subtropical Forest

Climate-driven increases in wildfire frequency may disrupt soil carbon dynamics, potentially creating positive feedback within global carbon cycle. However, the release and lability of soil carbon following wildfire remain unclear, limiting our ability to predict fire impacts on carbon cycling. Here, we investigated chemical alterations in soil water-extractable organic matter (WEOM) following a subtropical forest wildfire by comparing burned soils to an adjacent unburned site. The consensus is that fire-altered DOM is aromatic and less reactive. However, we found that 10 months postfire, burned soils contained nearly three times more water-extractable organic carbon (WEOC) than the control site. Reactomics analysis further revealed an overall 8-fold increase in potential reactivity of this carbon, identified by higher abundances of molecular formulas involved in identified microbial reaction pathways. Specifically, burned soils exhibited elevated potential oxidative enzyme reactions, linked to a higher nominal oxidation state of carbon (NOSC) in WEOM. Metagenomic analysis revealed an enrichment of microbial taxa specialized in degrading aromatic compounds in burned areas, supporting the occurrence of potential microbial reaction pathways acting on WEOM in postfire soils. These findings highlight that wildfires may accelerate soil carbon loss through reactive WEOM mobilization and microbial response, with implications for long-term carbon-climate projections.

Characteristics and environmental driving mechanisms of bacterial communities in the Bohai Sea

The Bohai Sea, a semi-enclosed marginal sea, hosts a diverse array of bacterial communities that play pivotal roles in marine biogeochemical cycles. However, understanding of bacterial communities remains fragmented in the Bohai Sea, with unclear links between environmental factors and key species, and limited insights into the roles of environment and space in shaping the bacterial communities. In this study, we compiled a series of data, and investigated how spatial and environmental factors influence the region's distribution, assembly, and function of bacterial communities using high-throughput sequencing and statistical analyses. The results revealed that the bacterial communities in the Bohai Sea exhibited a high heterogeneity of spatial and environmental factors. Major drivers of community assembly included geographic location, nutrient availability (NO2-N, NO3-N, and NH4-N), temperature, and dissolved oxygen. Additionally, we found that the bacterial community structure in the nearshore waters of the Bohai Sea was distinctly different from that in the distant seas. Furthermore, we identified key bacterial species, including Marinimicrobia, Proteobacteria, Lentisphaerae, and Cyanobacteria that significantly contributed to community structure and function by random forest analysis. Notably, the abundance of Cyanobacteria was strongly correlated with environmental factors (NO2-N, NO3-N, and NH4-N), suggesting their potential as bioindicators of environmental change in marine ecosystems. More importantly, deterministic processes in the assembly of bacterial communities played a greater role than stochastic processes in highly polluted regions (BS3). The results of this research enhanced our understanding of the ecological processes governing bacterial community dynamics and provided valuable insights for monitoring and management marine ecosystem.

Biochar-based organic fertilizer application promotes the alleviation of tobacco (Nicotiana tabacum L.) continuous cropping obstacles by improving soil chemical properties and microbial community structure

BACKGROUND

Intensive monoculture poses a serious threat to agricultural sustainable development due to the phenomenon of continuous cropping obstacles. Although organic amendment has been considered an efficient and environmentally friendly solution to mitigate this tough issue, the associated mechanisms remain poorly understood. Here, a two-year field experiment was conducted with the application of four fertilizers, wood, rice straw, compound biochar-based organic fertilizers (WBF, RBF, CBF) and chemical fertilizer (CF) under tobacco rotation with broad bean and oilseed rape, respectively. This work aims to determine how BFs application alleviates tobacco CCO and to further reveal the underlying action mechanisms primarily focusing on the change of soil micro-ecology environments.

RESULTS

The results depicted that BFs addition decreased tobacco morbidity (by 15.7-85.0%), heavy metals (Cd, V, Cu, Zn) contents in tobacco, and improved tobacco leaf production yield (by 4.5-20.5%), economic value (by 14.6-34.4%) and chemical quality compared with CF. Rhizosphere soil chemical properties and the structure and diversity of microbial communities were enhanced under BFs treatments, reflecting in the growth of bacterial OTUs number, microbial alpha-diversity, the abundances of some beneficial genera (Arthrobacter, Pseudomonas, Gemmatimonas, Trichoderma, Mortierella, Penicillium, Chaetomium, etc.), and the reduction of the numbers of detrimental microbes (Alternaria, Phytophthora nicotianae and Fusarium oxysporum). Moreover, CBF amendment improved the stability and complexity of microbial co-occurrence networks. Soil total carbon, microbial structure, and diversity were the most important explanatory factors for the increase of tobacco leaf yield and economic value.

CONCLUSIONS

Collectively, BFs application under rotation regime showed the great potential as a practical and environmentally friendly strategy to alleviate tobacco CCO by providing an optimized soil environment.

Comparison of Rhizosphere Microbiomes Between Domesticated and Wild Wheat in a Typical Agricultural Field: Insights into Microbial Community Structure and Functional Shifts

While the differences between domesticated crops and their wild relatives have been extensively studied, less is known about their rhizosphere microbiomes, which hold potential for breeding stress-resistant traits. We compared the rhizosphere microbiomes of domesticated wheat (Triticum aestivum L.) and its wild ancestor (Triticum turgidum ssp. dicoccoides) in a typical agricultural field using 16S rRNA and ITS gene sequencing. Our results revealed a high level of conservation in the rhizosphere microbiomes between wild and domesticated wheat, with minimal divergence in community composition and microbial network structure. However, domesticated wheat exhibited a higher prevalence of fungal pathogens and increased functional redundancy, with significant enrichment of genes involved in carbon and nitrogen cycling. The microbial community assemblies in both wheats were predominantly governed by deterministic processes. This suggests that long-term conventional agricultural practices have imposed minor effects on the compositional differences between the microbiomes of wild and domesticated wheat. Nonetheless, the lower abundance of apparent pathogens in the rhizosphere of the wild wheat suggests greater natural biota or innate host plant resistance against pathogenic fungi. This study may provide valuable insights into the host selection, assembly patterns, and functional potential of microbial communities in wild versus domesticated wheat, with implications for manipulating microbial communities in future crop breeding.

The effects of polycyclic aromatic hydrocarbons on ecological assembly processes and co-occurrence patterns differ between soil bacterial and fungal communities

Polycyclic aromatic hydrocarbons (PAHs) are hazardous organic pollutants prevalent in soil ecosystems. Bacteria and fungi play important roles in the degradation of PAHs in the soils. However, little is known about the differences between the bacterial and fungal community assemblies in PAH-contaminated soils. In this study, soil bacterial and fungal community distributions were investigated in maize farmlands and roadside barelands around nine coking plants in Shanxi, China. Most of the soil samples were severely polluted with PAHs. A clear microbial biogeographic pattern was observed. Bacterial communities are primarily affected by environmental factors, whereas fungal communities are primarily affected by spatial factors. Null modeling showed that homogeneous selection (deterministic processes) and dispersal limitation (stochastic processes) dominated the bacterial and fungal community assemblages, respectively. PAH concentrations were closely linked to community assembly processes, and influenced microbial co-occurrence by mediating specific network modules. Overall, the effects of PAHs on bacterial community assembly and co-occurrence relationships were greater than those on fungal communities. Some microbial taxa associated with PAH degradation can be considered potential biomarkers that reflect the degree of PAH pollution. These results expand the understanding of the mechanisms underlying the assembly and maintenance of soil microbial communities in response to PAH contamination.

Dynamics of wheat rhizosphere microbiome and its impact on grain production across growth stages

Crop plant microbiomes are increasingly seen as important in plant nutrition and health, and a key to maintaining food productivity. Currently, little is known of the temporal changes that occur in the wheat rhizosphere microbiome as the plant develops, and how this varies among different sites. We used a pot-based mesocosm experiment with the same modern wheat cultivar grown in eight soils from across the North China Plain, a major wheat producing area. DNA from rhizosphere soil was taken from wheat plants, from seedling up to grain harvesting stage, and amplicon sequenced for prokaryotes and microeukaryotes, followed by community analysis. Our results showed that rhizosphere diversity of prokaryotes and microeukaryotes increased over time in most sites. While there was turnover between earlier- and later-arriving species, the predominant successional model was accumulation, with early arrivals remaining in place as others colonized the rhizosphere. Rhizosphere community network modularity and stability increased during the development and maturation of the wheat plant. The abundances of certain stage-specific keystone species were correlated with eventual grain yield - suggesting a potentially important role in wheat production. Some keystone species belonged to groups previously implicated in various functions. This study provides a basis for further experimental investigation of the wheat rhizosphere microbiome, its role in determining crop yields, and the potential for microbiome engineering to promote yields. The sequential arrival and accumulation of microbiota suggests that deliberate inoculation might accelerate this process.

Soil organic matter composition affects ecosystem multifunctionality by mediating the composition of microbial communities in long-term restored meadows

BACKGROUND

Soil organic matter composition and microbial communities are key factors affecting ecosystem multifunctionality (EMF) during ecosystem restoration. However, there is little information on their interacting mechanisms in degraded and restored meadows. To fill this knowledge gap, plant, root and soil samples from alpine swamp meadows, alpine Kobresia meadows, severely degraded alpine meadows, short-term restored meadows (< 5 years) and long-term restored meadows (6-14 years) were collected. We leveraged high-throughput sequencing, liquid chromatography and mass spectrometry to characterize soil microbial communities and soil organic matter composition, measured microbial carbon metabolism and determined EMF.

RESULTS

It emerged that the similarity of soil microorganisms in meadows decreased with increasing heterogeneity of soil properties. Dispersal limitation and ecological drift led to the homogenization of the bacterial community. Based on co-occurrence network analysis, an increase in microbial network complexity promoted EMF. Root total phosphorus and soil organic matter components were the key predictors of EMF, while organic acids and phenolic acids increased the stability of the microbial network in long-term restored meadows. Carbon metabolism did not increase in restored meadows, but the niche breadth of soil microorganisms and the utilization efficiency of small molecular carbon sources such as amino acids did increase.

CONCLUSIONS

These findings emphasize the importance of soil organic matter composition in ecological restoration and that the composition should be considered in management strategies aimed at enhancing EMF.

Unraveling the Rhubarb (Rheum officinale Baill.) Root and Rhizosphere Microbial Communities in Response to Pathogen Exposure

This study investigated the microbial community composition and structure in healthy and diseased rhubarb (Rheum rhabarbarum) root systems, examining both root tissue and rhizosphere environments. Alpha diversity analysis revealed significantly higher microbial abundance in the rhizosphere compared to root tissues, with notable differences between healthy and diseased plants. Principal coordinate analysis demonstrated that bacterial community composition was primarily influenced by ecological niches (47.5% variation explained), whereas fungal communities segregated based on plant health status. Network analysis revealed increased bacterial community complexity in diseased plants rhizosphere (579 nodes, 13,016 edges) compared to healthy plants (542 nodes, 8700 edges), while fungal networks showed opposite trends with significant reduction in diseased conditions (147 nodes, 30 edges vs. 205 nodes, 418 edges). Correlation analysis identified significant associations between specific microbial taxa and soil properties, with notable positive correlations between certain bacteria (Oscillospirales) and fungi (Barnettozyma, Mortierella) with soil organic matter and nutrient availability. Pathogenic taxa, including Fusarium and members of Burkholderiales, showed negative correlations with beneficial microorganisms, suggesting potential antagonistic relationships. These findings provide crucial insights into the complex interactions within the rhubarb root microbiome and their implications for plant health, contributing to our understanding of root rot disease dynamics and potential management strategies.

Divergent Assembly Processes of Phyllosphere and Rhizosphere Microbial Communities Along Environmental Gradient

The underlying assembly processes of surface microbial communities are crucial for host plants and ecosystem functions. However, the relative importance of stochastic and deterministic processes in shaping epiphytic microbes remains poorly understood in both the phyllosphere and rhizosphere. Here, we compared the spatial variations in epiphytic microbial communities of two dominant grasses along a 1400 km transect on the Tibetan Plateau and assessed the assembly processes between the phyllosphere and rhizosphere. We found significant variations in epiphytic microbial community compositions between plant compartments and host species. Stochastic processes (drift and homogenizing dispersal) predominantly shaped microbial communities in both the phyllosphere and rhizosphere, with a greater contribution of stochastic processes in the phyllosphere. As environmental heterogeneity intensified, we found a transition from stochasticity to determinism in affecting the microbial assembly. This transition to homogeneous or variable selection depended on plant compartments and host species. Our study is among the first to compare the contribution of stochastic versus deterministic processes to epiphytic community assembly between the phyllosphere and rhizosphere on the Tibetan Plateau. These findings advance our knowledge of epiphytic microbial assembly and disentangle how host plants exploit the microbiome for improved performance and functioning in stressful alpine ecosystems.

Deciphering the Distinct Associations of Rhizospheric and Endospheric Microbiomes with Capsicum Plant Pathological Status

Exploring endospheric and rhizospheric microbiomes and their associations can help us to understand the pathological status of capsicum (Capsicum annuum L.) for implementing appropriate management strategies. To elucidate the differences among plants with distinct pathological status in the communities and functions of the endospheric and rhizospheric microbiomes, the samples of healthy and diseased capsicum plants, along with their rhizosphere soils, were collected from a long-term cultivation field. The results indicated a higher bacterial richness in the healthy rhizosphere than in the diseased rhizosphere (P < 0.05), with rhizospheric bacterial diversity surpassing endospheric bacterial diversity. The community assemblies of both the endospheric and rhizospheric microbiomes were driven by a combination of stochastic and deterministic processes, with the stochastic processes playing a primary role. The majority of co-enriched taxa in the healthy endophyte and rhizosphere mainly belonged to bacterial Proteobacteria, Actinobacteria, and Firmicutes, as well as fungal Ascomycota. Most of the bacterial indicators, primarily Alphaproteobacteria and Actinobacteria, were enriched in the healthy rhizosphere, but not in the diseased rhizosphere. In addition, most of the fungal indicators were enriched in both the healthy and diseased endosphere. The diseased endophyte constituted a less complex and stable microbial community than the healthy endophyte, and meanwhile, the diseased rhizosphere exhibited a higher complexity but lower stability than the healthy rhizosphere. Notably, only a microbial function, namely biosynthesis of other secondary metabolites, was higher in the healthy endophytes than in the diseased endophyte. These findings indicated the distinct responses of rhizospheric and endospheric microbiomes to capsicum pathological status, and in particular, provided a new insight into leveraging soil and plant microbial resources to enhance agriculture production.

Forest Soil pH and Dissolved Organic Matter Aromaticity Are Distinct Drivers for Soil Microbial Community and Carbon Metabolism Potential

The ecological niche separation of microbial interactions in forest ecosystems is critical to maintaining ecological balance and biodiversity and has yet to be comprehensively explored in microbial ecology. This study investigated the impacts of soil properties on microbial interactions and carbon metabolism potential in forest soils across 67 sites in China. Using redundancy analysis and random forest models, we identified soil pH and dissolved organic matter (DOM) aromaticity as the primary drivers of microbial interactions, representing abiotic conditions and resource niches, respectively. Our network comparison results highlighted significant differences in microbial interactions between acidic and non-acidic soils, suggesting the critical influences of abiotic conditions on microbial interactions. Conversely, abiotic resource niches played a more pivotal role in shaping the carbon metabolism of soil microbes, supporting the concept that resource niche-based processes drive microbial carbon cycling. Additionally, we demonstrated that microbial interactions contributed significantly to ecosystem function stability and served as potential ecological indicators of microbial functional resilience under environmental stress. These insights emphasize the critical need to preserve microbial interactions for effective forest ecosystem management and projection of ecological outcomes in response to future environmental changes.

Composition and the predicted functions of fungal communities and the key drivers in acidic soils of Jiaodong Peninsula, China

Introduction

Soil acidification imperils soil health and hinders the agricultural sustainability. As being more tolerant than bacteria to soil acidification, so it would be more meaningful for agricultural management and crop yield to characterize fungal community in acidic soils and manifest its key drivers.

Method

This study investigated the composition and diversity of fungal communities and its key driving factors by collecting 90 soil samples from the acidic region of Jiaodong Peninsula China, spanning 3 × 104 km2.

Results

The results indicated that most soil pH values ranged from 5.01 to 6.42, and the exchangeable acidity (EA) content raised significantly (p < 0.01) along with soil acidic degree increasing. However, no significant differences were found in fungal community diversity and composition among various soil samples, which were all predominantly habited with the phyla of Ascomycota and Basidiomycota. Results of the linear discriminant analysis effect size (LEfSe) analysis revealed that saprophytic fungi were biomarkers of the slightly acidic soil (pH 6.0-6.5), including Nectriaceae, Thielavia, Nectria, Haematonectria, and unclassified Microascaceae, while plant pathogenic fungi, such as Didymellaceae, were biomarkers of the soils pH < 5.5. Similarly, the FUNGuild results also indicated that saprophytic fungi and pathogenic fungi were the dominant functional guilds in the investigated acidic soils, accounting for 66% of the total fungal communities. Redundancy analysis (RDA) revealed that soil pH as well as nitrate nitrogen (NO 3 - -N) and total nitrogen (TN) significantly associated with fungal community at the phylum level, whilst soil pH was the only factor significantly linked to individual fungal classes (p < 0.01 or 0.05). The further Mantel test analysis and structural equation modeling (SEM) suggested that, in contrast to the negative and directive driving of soil pH on fungal communities' variation, the specific plant pathogenic fungi, Gibberella and Didymellaceae, were significantly and positively associated with soil acidic characteristics (p < 0.05).

Discussion

These findings highlighted that, in addition to modulating the variation of soil fungal community, soil acidification might prime some plant pathogens development. So that, more attentions should be focused on impact of soil acidification on fungal ecology, as well as plant pathogenic fungi.

Identifying human activities causing water pollution based on microbial community sequencing and source classifier machine learning

Identifying and differentiating human activities is crucial for effectively preventing the threats posed by environmental pollution to aquatic ecosystems and human health. Machine learning (ML) is a powerful analytical tool for tracking human impacts on river ecosystems based on high-through datasets. This study employed an ML framework and 16S rRNA sequencing data to reveal microbial dynamics and trace human activities across China. The results revealed that the microbial assembly was mainly dominated by deterministic factors (environmental factors and interactions between species), and the metacommunity partition was significantly associated with human activities in both water and sediment (Chi-square testwP = 1.93 × 10-22; Chi-square testsP = 6.00 × 10-6). Human activities increased the vulnerability of interspecific occurrence networks and the influence of environmental factors on the OTUs similarity and phylogenetic distance. Combined of microbiological indices (MBIs), microbial relative abundance (MRA), and environmental and geographical indices (EGIs), the source classifier machine learning (SCML) algorithm was used to categorize five human activities (i.e., low human-impact, agricultural inputs, domestic inputs, industrial inputs, and dam construction). The SCML optimal configuration is (MBIs + MRA + EGIs) exhibited strong performance with TestW R2 of 0.882 and TestS R2 of 0.924. This study provides valuable insights for improving ecosystem management, supporting sustainable water resource management and advancing pollution mitigation efforts.

Spatiotemporal distributions, co-occurrence networks, and assembly mechanisms of the bacterial community in sediments of the Yangtze River: comprehensive insights into abundant and rare taxa

Sediments are key reservoirs for rare bacterial biospheres that provide broad ecological services and resilience in riverine ecosystems. Compared with planktons, there is a lack of knowledge regarding the ecological differences between abundant and rare taxa in benthic bacteria along a large river. Here, we offer comprehensive insights into the spatiotemporal distributions, co-occurrence networks, and assembly processes of three divided categories namely always rare taxa (ART), conditionally rare taxa (CRT), and conditionally rare and abundant taxa (CRAT) in sediments covering a distance of 4,300 km in the Yangtze River. Our study demonstrated that ART/CRT contributed greatly to the higher Chao-1 index, Shannon-Wiener index, and phylogenetic alpha diversity of benthic bacteria in autumn than in spring. ART showed high overall beta diversity, and CRT/CRAT exhibited more significant distance-decay patterns than ART in both seasons, mainly corresponding to macroscopic landform types. CRT predominated the nonrandom co-occurrence network, with 97% of the keystone species mostly affiliated with Acidobacteriota flourishing in the lower-reach plain. Two selection processes had the greatest influences on the assembly of CRT (74.7-77.6%), whereas CRAT were driven primarily by dispersal limitation (74.9-86.8%) and ART were driven by heterogeneous selection (33.9-48.5%) and undominated stochasticity (32.7-36.5%). Natural factors such as river flow and channel slope exhibited more significant correlations with community variation than nutrients in all three groups, and total organic carbon mediated the balance among the distinct assembly processes of the ART and CRT in both seasons. Taken together, these results provide an improved ecological understanding of the discrepancy in biogeographic patterns between abundant and rare bacterial taxa in the sediments of Asia's largest river.

Riverine bacterial communities are more shaped by species sorting in intensive urban and agricultural watersheds

Bacterial communities play a crucial role in maintaining the stability of river ecosystems and driving biogeochemical cycling, exhibiting high sensitivity to environmental change. However, understanding the spatial scale effects and assembly mechanisms of riverine bacterial communities under distinct anthropogenic disturbances remains a challenge. Here, we investigated bacterial communities across three distinct watersheds [i.e., intensive urban (UW), intensive agricultural (AW), and natural (NW)] in both dry and wet seasons. We explored biogeographic patterns of bacterial communities and the influence of landscape patterns at multi-spatial scales and water chemistry on bacterial communities. Results showed that α diversity was significantly lower in UW and AW compared to NW, particularly in the dry season. A gradient of β diversity with NW > UW > AW was observed across both seasons (p < 0.05). Pseudomonadota, Bacteroidota, and Actinobacteriota were the most abundant phyla across all watersheds, with specific taxa enriched in each watershed (i.e., the class Actinobacteria was significant enrichment in UW and AW, and Clostridia in NW). The influence of landscape patterns on bacterial communities was significantly lower in human-disturbed watersheds, particularly in UW, where this influence also varied slightly from near riparian buffers to sub-watershed. Homogeneous selection and drift jointly dominated the bacterial community assembly across all watersheds, with homogeneous selection exhibiting a greater influence in UW and AW. Landscape patterns explained less variance in bacterial communities in UW and AW than in NW, and more variance was explained by water chemistry (particularly in UW). These suggest that the stronger influence of species sorting in UW and AW was driven by more allochthonous inputs of water chemistry (greater environmental stress). These findings provide a theoretical foundation for a deeper understanding of riverine bacterial community structure, spatial scale effects, and ecological management under different anthropogenic activities.

Stochasticity-dominated rare fungal endophytes contribute to coexistence stability and saponin accumulation in Panax species

Fungal communities inhabiting plant tissues are complex systems of inter-species interactions, consisting of both the "abundant biosphere" and "rare biosphere". However, the composition, assembly, and stability of these subcommunities, as well as their contributions to productivity remain unclear. In this study, the taxonomic and functional composition, co-occurrence, and ecological assembly of abundant and rare fungal subcommunities in different tissues of three Panax species were investigated. Abundant subcommunities were dominated by potential plant pathogens belonging to Microbotryomycetes, while saprotrophic fungi like Agaricomycetes and Mortierellomycetes were more prevalent in rare subcommunities. The rare taxa played a central role in upholding the stability of the fungal networks as driven by Dothideomycetes and Sordariomycetes. Homogeneous selection played a larger role in the assembly of abundant fungal subcommunities compared to the rare counterparts, which was more dominated by stochastically ecological drift in all plant species. Rare biospheres played a larger role in the accumulation of saponin compared to their abundant counterparts, especially in the leaf endosphere, which was mainly affected by environmental factors (Mg, pH, OC, and etc.). Furthermore, we found that rare species belonging to unidentified saprotrophs were associated with saponin formation. This study provides hypotheses for future experiments to understand mechanisms accounting for the variations in the composition and function of rare fungal subcommunities across different Panax species.

Accumulated temperature dictates the regional structural variation of prokaryotic periphyton at soil-water interface in paddy fields

As a pervasive microbial aggregate found at the water-soil interface in paddy fields, periphyton plays crucial roles in modulating nutrient biogeochemical cycling. Consequently, it effectively mitigates non-point source pollution due to its diverse composition. Despite its significance, the mechanisms governing periphyton diversity across different rice planting regions remain poorly understood. To bridge this gap, we investigated periphyton grown in 200 paddy fields spanning 25° of latitude. Initially, we analyzed local diversity and latitudinal variations in prokaryotic communities within paddy field periphyton, identifying 7 abundant taxa, 42 moderate taxa, and 39 rare taxa as the fundamental prokaryotic framework. Subsequently, to elucidate the mechanisms governing periphyton diversity across large scales, we constructed interaction models illustrating triangular relationships among local richness, assembly, and regional variation of prokaryotic subcommunities. Our findings suggest that accumulated temperature-driven environmental filtering partially influences the assembly process of prokaryotes, thereby impacting local species richness and ultimately governing regional structural variations in periphyton. Furthermore, we determined that a latitude of 39° represents the critical threshold maximizing local species richness of periphyton in paddy fields. This study advances our understanding of the factors shaping periphyton geo-imprints and provides valuable insights into predicting their responses to environmental changes, potentially influencing rice production outcomes.

Biogeographic patterns and community assembly mechanisms of bacterial community in the upper seawater of seamounts and non-seamounts in the Eastern Indian Ocean

Seamounts are widespread underwater topographic features in the ocean that exert an influential role in shaping the microbial biogeographic distribution. Nevertheless, research on the differences in microbial biogeographic distribution between seamount and non-seamount upper water column is still lacking, particularly in the Indian Ocean where studies are limited. In the present study, a total of 45 seawater samples were collected from the water column (5-200 m) of seamounts (HS) and non-seamounts (E87 transect) regions in the Eastern Indian Ocean (EIO) for the analysis of microbial biogeographic patterns and community assembly processes. The results indicated that bacterial community diversity did not differ significantly between the HS and E87 transect regions; however, the community composition was significantly different. Additionally, bacterial community diversity, composition, as well as structure were more affected by depth than by region. Community diversity tended to increase with depth in E87 transect region, while it tended to decrease in HS region. A distance decay analysis also demonstrated that bacterial communities were more influenced by environmental and depth distances than geographic distances. In the assembly of bacterial communities on HS and E87 transect regions, as well as at different depths, stochastic processes, particularly dispersal limitation, were found to be predominant. These findings enhance our comprehension of bacterial community characteristics in the upper seawater of seamounts and non-seamounts regions in the EIO and offer insights into the assembly processes shaping microbial communities at varying depths.

IMPORTANCE

By comparing the bacterial diversity, composition, and structure in the upper seawater of seamount and non-seamount areas, we provide valuable insights into the influential role of seamounts in shaping microbial biogeography. The finding that the depth had a more significant impact on bacterial community characteristics than region underscores the importance of considering vertical stratification when examining microbial distributions. Moreover, the dominance of stochastic processes, particularly dispersal limitation, in governing community assembly across both seamount and non-seamount areas offers critical implications for the mechanisms underlying microbial biogeographic patterns in these dynamic ocean environments. This study expands the current knowledge and lays the groundwork for further investigations into the complex interactions between oceanographic features, environmental gradients, and microbial community dynamics in the Indian Ocean.

Effect of different vegetation restoration patterns on community structure and co-occurrence networks of soil fungi in the karst region

Introduction

The Grain for Green Project (GGP) by the Chinese government was an important vegetation restoration project in ecologically fragile and severely degraded karst regions. Soil fungi play a facilitating role in the cycling of nutrients both above and below the ground, which is crucial for maintaining ecosystem function and stability. In karst regions, their role is particularly critical due to the unique geological and soil characteristics, as they mitigate soil erosion, enhance soil fertility, and promote vegetation growth. However, little is known about how the implementation of this project shifts the co-occurrence network topological features and assembly processes of karst soil fungi, which limits our further understanding of karst vegetation restoration.

Methods

By using MiSeq high-throughput sequencing combined with null model analysis technology, we detected community diversity, composition, co-occurrence networks, and assembly mechanisms of soil fungi under three GGP patterns (crop, grassland, and plantation) in the southwestern karst region.

Results

Ascomycota and Basidiomycota were the main fungal phyla in all the karst soils. Returning crop to plantation and grassland had no significant effect on α diversity of soil fungi (P > 0.05), but did significantly affect the β diversity (P = 0.001). Soil moisture and total nitrogen (TN) were the main factors affecting the community structure of soil fungi. Compared with crop, soil fungi networks in grassland and plantation exhibited a higher nodes, edges, degree, and relatively larger network size, indicating that vegetation restoration enhanced fungal interactions. The soil fungi networks in grassland and plantation were more connected than those in crop, implying that the interaction between species was further strengthened after returning the crop to plantation and grassland. In addition, null-model analysis showed that the assembly process of soil fungal communities from crop to grassland and plantation shifted from an undominant process to dispersal limitation.

Discussion

These data indicated that GGP in karst region changed the composition and assembly mechanisms of the soil fungal community and enhanced the interaction between fungal species, which can contribute to a better understanding of the fungal mechanisms involved in the restoration of degraded karst soils through vegetation recovery.

Distinct drivers of bacterial community assembly processes in riverine islands in the middle and lower reaches of the Yangtze River

Riverine islands are widespread alluvium wetlands developed in large rivers, and bacterial communities are crucial to their ecological function, yet their assembly processes are rarely addressed. The ecosystem services provided by the middle and the lower Yangtze are primarily threatened by pollution discharge from agricultural land use, and resource overutilization (e.g., embankments), respectively. Here, we assessed bacterial community assembly processes and their drivers within riverine islands in the middle Yangtze River (MR islands) and those in the lower reach (LR islands). A significant distance-decay relationship was observed, although the turnover rate was lower than that of the terrestrial ecosystem with less connectivity. Deterministic and stochastic processes jointly shaped community patterns, and the influence of stochastic increased from 26% in MR islands to 59% for those in LR islands. Meanwhile, the bacterial community in MR islands was controlled more by inorganic nitrogen availability, whereas those in LR islands were governed by pH and EC, although those factors explained a limited fraction of variation in the bacterial community. Potential indicator taxa (affiliated with Nocardioides and Lysobacter) characterized the waterway transport pollution. Overall, our study demonstrated that bacterial community dissimilarity and the importance of dispersal limitation increased concurrently along the flow direction, while distinct local factors further determined bacterial community compositions by selecting habitat-specificity taxa and particularly metabolism function. These findings enhanced our understanding of the mechanisms driving changes in bacterial communities of riverine islands subject to increased anthropogenic impacts.IMPORTANCERivers are among the most threatened ecosystems globally and face multiple stressors related to human activity. However, linkages between microbial diversity patterns and assembly processes in rivers remain unclear, especially in riverine islands developed in large rivers. Our findings reveal that distinct factors result in divergent bacterial community compositions and functional profiles in the riverine islands in the middle Yangtze and those in the lower Yangtze, with substantial differentiation in deterministic and stochastic processes that jointly contribute to bacterial community assemblages. Additionally, keystone species may play important metabolic roles in coping with human-related disturbances. This study provides an improved understanding of relationships between microbial diversity patterns and ecosystem functions under environmental changes in large river ecosystems.

Consistent prokaryotic community patterns along the radial root axis of two Zea mays L. landraces across two distinct field locations

The close interconnection of plants with rhizosphere- and root-associated microorganisms is well recognized, and high expectations are raised for considering their symbioses in the breeding of future crop varieties. However, it is unclear how consistently plant-mediated selection, a potential target in crop breeding, influences microbiome members compared to selection imposed by the agricultural environment. Landraces may have traits shaping their microbiome, which were lost during the breeding of modern varieties, but knowledge about this is scarce. We investigated prokaryotic community composition along the radial root axis of two European maize (Zea mays L.) landraces. A sampling gradient included bulk soil, a distal and proximal rhizosphere fraction, and the root compartment. Our study was replicated at two field locations with differing edaphic and climatic conditions. Further, we tested for differences between two plant developmental stages and two precipitation treatments. Community data were generated by metabarcoding of the V4 SSU rRNA region. While communities were generally distinct between field sites, the effects of landrace variety, developmental stage, and precipitation treatment were comparatively weak and not statistically significant. Under all conditions, patterns in community composition corresponded strongly to the distance to the root. Changes in α- and β-diversity, as well as abundance shifts of many taxa along this gradient, were similar for both landraces and field locations. Most affected taxa belonged to a core microbiome present in all investigated samples. Remarkably, we observed consistent enrichment of Actinobacteriota (particularly Streptomyces, Lechevalieria) and Pseudomonadota (particularly Sphingobium) toward the root. Further, we report a depletion of ammonia-oxidizers along this axis at both field sites. We identified clear enrichment and depletion patterns in microbiome composition along the radial root axis of Z. mays. Many of these were consistent across two distinct field locations, plant developmental stages, precipitation treatments, and for both landraces. This suggests a considerable influence of plant-mediated effects on the microbiome. We propose that the affected taxa have key roles in the rhizosphere and root microbiome of Z. mays. Understanding the functions of these taxa appears highly relevant for the development of methods aiming to promote microbiome services for crops.

Long-term addition of organic manure stimulates the growth and activity of comammox in a subtropical Inceptisol

The discovery of complete ammonia oxidizers (comammox) has dramatically altered our perception of nitrogen (N) biogeochemistry. However, their functional importance vs. the canonical ammonia oxidizers (i.e., ammonia oxidizing-archaea (AOA) and bacteria (AOB)) in agroecosystems is still poorly understood. Accordingly, a new assay using acetylene, 3,4-dimethylpyrazole phosphate (DMPP), and 1-octyne was adopted to assess the ammonia (NH3) oxidation and nitrous oxide (N2O) production activity of these functional guilds in a subtropical Inceptisol under long-term different fertilization regimes. These regimes include CK (no fertilizer control), synthetic fertilizer only (NPK), organic manure only (M) and organic manure plus synthetic fertilizer (MNPK). AOA dominated NH3 oxidation in the M treatment, while AOB dominated both NH3 oxidation and N2O production in all treatments except M. Comammox always played a minor role in both NH3 oxidation and N2O production across all treatments. Both M and MNPK treatments significantly increased the activity and growth of comammox. Compared to NPK, comammox exhibited increases of 270 % and 326 % in the NH3 oxidation rates, and increases of 1472 % and 563 % in the N2O production rates in M and MNPK, respectively. Random forest model revealed that copper (Cu), comammox abundance, and dissolved organic nitrogen (DON) were the most important predictors for the NH3 oxidation rates of comammox. Redundancy analyses (RDA) showed that fertilizer treatments significantly altered the community composition of NH3 oxidizers, and pH was the overarching parameter underpinning the community shift of the NH3 oxidizers. Overall, this study provides evidence that comammox play a minor yet unneglectable role in the nitrification of agroecosystems, and the long-term addition of organic manure stimulates the growth and activity of comammox in a subtropical Inceptisol.

Microbiome analysis in Asia's largest watershed reveals inconsistent biogeographic pattern and microbial assembly mechanisms in river and lake systems

Microorganisms are critical to the stability of aquatic environments, and understanding the ecological mechanisms of microbial community is essential. However, the distinctions and linkages across biogeographic patterns, ecological processes, and formation mechanisms of microbes in rivers and lakes remain unknown. Accordingly, microbiome-centric analysis was conducted in rivers and lakes in the Yangtze River watershed. Results revealed significant differences in the structure and diversity of microbial communities between rivers and lakes, with rivers showing higher diversity. Lakes exhibited lower community stability, despite higher species interactions. Although deterministic processes dominated microbial community assembly both in rivers and lakes, higher stochastic processes of rare and abundant taxa exhibited in rivers. Spatial factors influenced river microbial community, while environmental factors drove differences in the lake bacterial community. This study deepened the understanding of microbial biogeography and formation mechanisms in large watershed rivers and lakes, highlighting distinct community aggregation patterns between river and lake microorganisms.

Nitrogen supply neutralizes the nanoplastic-plant interaction in a coastal wetland

The presence of nanoplastics posed a potential threat to coastal saline-alkaline wetlands where nitrogen (N) fertilizer is being implemented as an important ecological restoration measure. Notwithstanding, the effects of N inputs on plant community in polypropylene-nanoplastics (PP-NPs) coexistence environments are largely unknown. To address this, we investigated the effects of PP-NPs addition alone or combined N supply on community aboveground biomass, morphological traits, diversity, composition, niche differentiation, interspecific interactions, and assembly. Our results showed that the PP-NPs addition alone reduced community aboveground biomass and morphological traits. However, the addition of high concentration (0.5%) PP-NPs alone favored community α-diversity and reduced community stability, which could be weakened through combined N supply. Overall, the effect of PP-NPs addition alone on plant community composition was greater than that of combined N supply. We also demonstrated PP-NPs addition alone and combined N supply reduced the niche breadth of the plant community and affected the niche overlap of dominant species. In the assembly of plant communities, stochastic processes played a dominant role. We conclude that N fertilization can amend the terrestrial nanoplastics pollution, thus mitigating the effects of PP-NPs on the plant community.

Spatial distribution and community composition of endophytic fungi within Mussaenda pubescens stems

Endophytic fungi, pivotal in facilitating plant co-evolution, significantly enhance plant growth, stress resistance, and environmental adaptability. Despite their importance, the spatial distribution of stem endophytic fungi (SEF) within host plants remains poorly characterized. Here, we employed high-throughput sequencing to conduct a comparative analysis of SEF communities in Mussaenda pubescens on a regional scale. Our findings reveal that whole-SEF communities were overwhelmingly dominated by members of the phylum Ascomycota, accounting for 85.9 %, followed by Basidiomycota at 13.9 %, and that alpha diversity within the whole-SEF community of M. pubescens remains relatively consistent across sampling sites. However, significant variation was observed within conditionally abundant taxa (CAT), conditionally rare or abundant taxa (CRAT), and conditionally rare taxa (CRT). Climatic factors emerged as the primary influence on SEF community distribution, followed by spatial distance and stem chemical properties. Neutral community modeling results suggested that both stochastic and deterministic processes play a role in shaping whole-SEF communities, with deterministic processes having a stronger influence on CRT subcommunities. Furthermore, the CRT co-occurrence network exhibited a more complex structure, characterized by higher values of network betweenness and degree relative to CAT and CRAT subcommunities. These findings enhance our understanding of community assembly and ecological interactions between stem fungal endophytes, presenting opportunities for harnessing fungal resources for the benefit of humanity.

Biogeography and diversity patterns of abundant and rare bacterial communities in paddy soils along middle and lower Yangtze River

The middle and lower reaches of the Yangtze River serve as principal rice production bases in China, yet the biodiversity and ecological processes of bacterial communities in paddy soils are not well understood. This study explores the diversity, composition, ecological function, and assembly processes of abundant and rare bacterial communities in paddy soils. A total of 129 paddy soil samples from 43 sites along the middle and lower reaches of the Yangtze River were collected and analyzed using NovaSeq sequencing. The results showed that the dominant phylum for both abundant and rare taxa was Proteobacteria, with a greater relative abundance of the abundant taxa. The diversity of the abundant community was lower than that of the rare community. Soil properties and geographic variables explained more of the variation in the abundant community than in the rare community. The rare community exhibited a significant distance-decay relationship. The assembly of the abundant community was more influenced by stochastic processes, although both the abundant and rare communities were governed by stochastic processes. It is concluded that both abundant and rare bacterial communities exhibit differing biogeographic patterns, yet they undergo similar ecological processes in the paddy soils along the middle and lower reaches of the Yangtze River. These observations offer a theoretical framework for a deeper comprehension of the function of both abundant and rare bacteria, as well as the development and preservation of soil bacterial diversity within agricultural ecosystems.

Effects of antibiotic resistance genes on health risks of rivers in habitat of wild animals under human disturbance - based on analysis of antibiotic resistance genes and virulence factors in microbes of river sediments

Studying the ecological risk of antibiotic resistance genes (ARGs) to wild animals from human disturbance (HD) is an important aspect of "One Health". The highest risk level of ARGs is reflected in pathogenic antibiotic-resistant bacteria (PARBs). Metagenomics was used to analyze the characteristics of PARBs in river sediments. Then, the total contribution of ARGs and virulence factors (VFs) were assessed to determine the health risk of PARBs to the rivers. Results showed that HD increased the diversity and total relative abundance of ARG groups, as well as increased the kinds of PARBs, their total relative abundance, and their gene numbers of ARGs and VFs. The total health risks of PARBs in wild habitat group (CK group), agriculture group (WA group), grazing group (WG group), and domestic sewage group (WS group) were 0.067 × 10-3, -1.55 × 10-3, 87.93 × 10-3, and 153.53 × 10-3, respectively. Grazing and domestic sewage increased the health risk of PARBs. However, agriculture did not increase the total health risk of the rivers, but agriculture also introduced new pathogenic mechanisms and increased the range of drug resistance. More serious was the increased transfer risk of ARGs in the PARBs from the rivers to wild animals under agriculture and grazing. If the ARGs in the PARBs are transferred from the rivers under HD to wild animals, then wild animals may face severe challenges of acquiring new pathogenic mechanisms and developing resistance to antibiotics. Further analysis showed that the total phosphorus (TP) and dissolved organic nitrogen (DON) were related to the risk of ARGs. Therefore, controlling human emissions of TP and DON could reduce the health risk of rivers.

Different seasonal dynamics, ecological drivers, and assembly mechanisms of algae in southern and northern drinking water reservoirs

The role of environmental factors on the community structure of algae has been intensively studied, but there are few analyses on the assembly mechanism of the algal community structure. Here, changes in the community structure of algae in different seasons, the effects of environmental variables on the algal community structure, and the assembly mechanism of the algal community structure in northern and southern reservoirs were investigated in this study. The study revealed that Bacillariophyta, Cyanophyta, and Chlorophyta were the predominant algal species in the reservoirs, with Bacillariophyta and Cyanophyta exhibiting seasonal outbreaks. Compared to the northern reservoirs, the algal diversity in the southern reservoirs was greater. The diversity and algal community structure could be significantly impacted by variations in water temperature and nitrogen level. According to the ecological model, the interaction among algal communities in reservoirs was primarily cooperation. The key taxa in the northern reservoirs was Aphanizomenon sp., while the outbreak in the southern reservoirs was Coelosphaerium sp. The community formation pattern of reservoirs was stochastic, with a higher degree of explanation observed in the southern reservoirs compared to the northern reservoirs. This study preliminarily explored the assembly mechanism of the algal community, providing a theoretical basis for the control of eutrophication in drinking water reservoirs.

Diversity and distribution of biosynthetic gene clusters in agricultural soil microbiomes

Bacterial secondary metabolites serve as an important source of molecules for drug discovery. They also play an important function in mediating the interactions of microbial producers with their living environment and surrounding organisms. However, little is known about the genetic novelty, distribution, and community-level impacts of soil bacterial biosynthetic potential on a large geographic scale. Here, we constructed the first catalog of 11,149 biosynthetic gene clusters (BGCs) from agricultural soils across China and unearthed hidden biosynthetic potential for new natural product discovery from the not-yet-cultivated soil bacteria. Notably, we revealed soil pH as the strongest environmental driver of BGC biogeography and predicted that soil acidification and global climate change could damage the biosynthetic potential of the soil microbiome. The co-occurrence network of bacterial genomes revealed two BGC-rich species, i.e., Nocardia niigatensis from Actinobacteriota and PSRF01 from Acidobacteriota, as the module hub and connector, respectively, indicating their keystone positions in the soil microbial communities. We also uncovered a dominant role of BGC-inferred biotic interactions over environmental drivers in structuring the soil microbiome. Overall, this study achieved novel insights into the BGC landscape in agricultural soils of China, substantially expanding our understanding of the diversity and novelty of bacterial secondary metabolism and the potential role of secondary metabolites in microbiota assembly.IMPORTANCEBacterial secondary metabolites not only serve as the foundation for numerous therapeutics (e.g., antibiotics and anticancer drugs), but they also play critical ecological roles in mediating microbial interactions (e.g., competition and communication). However, our knowledge of bacterial secondary metabolism is limited to only a small fraction of cultured strains, thus restricting our comprehensive understanding of their diversity, novelty, and potential ecological roles in soil ecosystems. Here, we used culture-independent metagenomics to explore biosynthetic potentials in agricultural soils of China. Our analyses revealed a high degree of genetic diversity and novelty within biosynthetic gene clusters in agricultural soil environments, offering valuable insights for biochemists seeking to synthesize novel bioactive products. Furthermore, we uncovered the pivotal role of BGC-rich species in microbial communities and the significant relationship between BGC richness and microbial phylogenetic turnover. This information emphasizes the importance of biosynthetic potential in the assembly of microbial communities.

Root microbiota analysis of Oryza rufipogon and Oryza sativa reveals an orientation selection during the domestication process

The root-associated microbiota has a close relation to the life activities of plants, and its composition is affected by the rhizospheric environment and plant genotypes. Rice (Oryza sativa) was domesticated from the ancestor species Oryza rufipogon. Many important agricultural traits and adversity resistance of rice have changed during a long time of natural domestication and artificial selection. However, the influence of rice genotypes on root microbiota in important agricultural traits remains to be explained. In this study, we performed 16S rRNA and internal transcribed spacer (ITS) gene amplicon sequencing to generate bacterial and fungal community profiles of O. rufipogon and O. sativa, both of which were planted in a farm in Guangzhou and had reached the reproductive stage. We compared their root microbiota in detail by alpha diversity, beta diversity, different species, core microbiota, and correlation analyses. We found that the relative abundance of bacteria was significantly higher in the cultivated rice than in the common wild rice, while the relative abundance of fungi was the opposite. Significant differences in agricultural traits between O. rufipogon and O. sativa showed a high correlation with core microorganisms in the two Oryza species, which only existed in either or had obviously different abundance in both two species, indicating that rice genotype/phenotype had a strong influence on recruiting specific microorganisms. Our study provides a theoretical basis for the in-depth understanding of rice root microbiota and the improvement of rice breeding from the perspective of the interaction between root microorganisms and plants.IMPORTANCEPlant root microorganisms play a vital role not only in plant growth and development but also in responding the biotic and abiotic stresses. Oryza sativa is domesticated from Oryza rufipogon which has many excellent agricultural traits especially containing resistance to biotic and abiotic stresses. To improve the yield and resistance of cultivated rice, it is particularly important to deeply research on differences between O. sativa and O. rufipogon and find beneficial microorganisms to remodel the root microbiome of O. sativa.

Community assembly and microbial interactions in an alkaline vanadium tailing pond

Intensive development of vanadium-titanium mines leads to an increasing discharge of vanadium (V) into the environment, imposing potential risks to both environmental system and public health. Microorganisms play a key role in the biogeochemical cycling of V, influencing its transformation and distribution. In addition, the characterization of microbial community patterns serves to assess potential threats imposed by elevated V exposure. However, the impact of V on microbial community remains largely unknown in alkaline V tailing areas with a substantial amounts of V accumulation and nutrient-poor conditions. This study aims to explore the characteristics of microbial community in a wet tailing pond nearby a large-scale V mine. The results reveal V contamination in both water (0.60 mg/L) and sediment tailings (340 mg/kg) in the tailing pond. Microbial community diversity shows distinctive pattern between environmental metrices. Genera with the functional potential of metal reduction\resistance, nitrogen metabolism, and carbon fixation have been identified. In this alkaline V tailing pond, V and pH are major drivers to induce community variation, particularly for functional bacteria. Stochastic processes primarily govern the assemblies of microbial community in the water samples, while deterministic process regulate the community assemblies of sediment tailings. Moreover, the co-occurrence network pattern unveils strong selective pattern for sediment tailings communities, where genera form a complex network structure exhibiting strong competition for limited resource. These findings reveal the patterns of microbial adaptions in wet vanadium tailing ponds, providing insightful guidelines to mitigate the negative impact of V tailing and develop sustainable management for mine-waste reservoir.

Stability and Assembly Mechanisms of Butterfly Communities across Environmental Gradients of a Subtropical Mountain

Mountain ecosystems harbor evolutionarily unique and exceptionally rich biodiversity, particularly in insects. In this study, we characterized the diversity, community stability, and assembly mechanisms of butterflies on a subtropical mountain in the Chebaling National Nature Reserve, Guangdong Province, China, using grid-based monitoring across the entire region for two years. The results showed that species richness, abundance, and Faith's phylogenetic diversity decreased with increasing elevation; taxonomic diversity played a considerable role in mediating the effects of environmental changes on stability. Moreover, our results showed that stochastic processes are dominant in governing the assembly of butterfly communities across all elevational gradients, with habitats at an elevation of 416-580 m subjected to the strongest stochastic processes, whereas heterogeneous selection processes displayed stronger effects on the assembly of butterfly communities at 744-908 m, 580-744 m, and 908-1072 m, with abiotic factors inferred as the main driving forces. In addition, significant differences were detected between the barcode tree and the placement tree for the calculated β-NTI values at 416-580 m. Overall, this study provides new insights into the effects of environmental change on the stability and assembly of butterflies in Chebaling, which will be beneficial for biodiversity conservation and policy development.

Ecological succession of abundant and rare subcommunities during aerobic composting in the presence of residual amoxicillin

Aerobic composting increases the content of soluble nutrients and facilitates the safe treatment of livestock manure. Although different taxa play crucial roles in maintaining ecological functionality, the succession patterns of community composition and assembly of rare and abundant subcommunities during aerobic composting under antibiotic stress and their contributions to ecosystem functionality remain unclear. Therefore, this study used 16 S rRNA gene sequencing technology to reveal the response mechanisms of diverse microbial communities and the assembly processes of abundant and rare taxa to amoxicillin during aerobic composting. The results indicated that rare taxa exhibited distinct advantages in terms of diversity, community composition, and ecological niche width compared with abundant taxa, highlighting their significance in maintaining ecological community dynamics. In addition, deterministic (heterogeneous selection) and stochastic processes (dispersal limitation) play roles in the community succession and functional dynamics of abundant and rare subcommunities. The findings of this study may contribute to a better understanding of the relative importance of deterministic and stochastic assembly processes in composting systems, and the ecological functions of diverse microbial communities, ultimately leading to improved ecological environment.

Spatial variations of fungal community assembly and soil enzyme activity in rhizosphere of zonal Stipa species in inner Mongolia grassland

Rhizosphere soil fungal and enzyme activities affect the nutrient cycling of terrestrial ecosystems, and rhizosphere fungi are also important participants in the ecological process of vegetation succession, responding to changes in plant communities. Stipa is an excellent forage grass with important ecological and economic value, and has the spatial distribution pattern of floristic geographical substitution. In order to systematically investigate the synergistic response strategies of fungal communities and enzyme activities in the rhizosphere under the vegetation succession. Here we explored the turnover and assembly mechanisms of Stipa rhizosphere fungal communities and the spatial variation of metabolic activity under the succession of seven Stipa communities in northern China grassland under large scale gradients. The results indicated that the composition, abundance and diversity of fungal communities and microbial enzyme activities in rhizosphere soil differed among different Stipa species and were strikingly varied along the Stipa community changes over the geographic gradient. As the geographical distribution of Stipa community changed from east to west in grassland transect, Mortierellomycetes tended to be gradually replaced by Dothideomycetes. The null models showed that the rhizosphere fungal communities were governed primarily by the dispersal limitation of stochastic assembly processes, which showed decreased relative importance from S. grandis to S. gobica. Moreover, the MAT and MAP were the most important factors influencing the changes in the fungal community (richness, β-diversity and composition) and fungal community assembly, while SC and NP also mediated fungal community assembly processes. These findings deepen our understanding of the responses of the microbial functions and fungal community assembly processes in the rhizosphere to vegetation succession.

Biogeography and assembly processes of abundant and rare soil microbial taxa in the southern part of the Qilian Mountain National Park, China

Soil microorganisms play vital roles in regulating multiple ecosystem functions. Recent studies have revealed that the rare microbial taxa (with extremely low relative abundances, which are still largely ignored) are also crucial in maintaining the health and biodiversity of the soil and may respond differently to environmental pressure. However, little is known about the soil community structures of abundant and rare taxa and their assembly processes in different soil layers on the Qinghai-Tibet Plateau (QTP). The present study investigated the community structure and assembly processes of soil abundant and rare microbial taxa on the northeastern edge of the QTP. Soil microbial abundance was defined by abundant taxa, whereas rare taxa contributed to soil microbial diversity. The results of null model show that the stochastic process ruled the assembly processes of all sub-communities. Dispersal limitation contributed more to the assembly of abundant microbial taxa in the different soil layers. In contrast, drift played a more critical role in the assembly processes of the rare microbial taxa. In addition, in contrast to previous studies, the abundant taxa played more important roles in co-occurrence networks, most likely because of the heterogeneity of the soil, the sparsity of amplicon sequencing, the sampling strategy, and the limited samples in the present study. The results of this study improve our understanding of soil microbiome assemblies on the QTP and highlight the role of abundant taxa in sustaining the stability of microbial co-occurrence networks in different soil layers.

From concept to reality: Transforming agriculture through innovative rhizosphere engineering for plant health and productivity

The plant rhizosphere is regarded as a microbial hotspot due to a wide array of root exudates. These root exudates comprise diverse organic compounds such as phenolic, polysaccharides, flavonoids, fatty acids, and amino acids that showed chemotactic responses towards microbial communities and mediate significant roles in root colonization. The rhizospheric microbiome is a crucial driver of plant growth and productivity, contributing directly or indirectly by facilitating nutrient acquisition, phytohormone modulation, and phosphate solubilization under normal and stressful conditions. Moreover, these microbial candidates protect plants from pathogen invasion by secreting antimicrobial and volatile organic compounds. To enhance plant fitness and yield, rhizospheric microbes are frequently employed as microbial inoculants. However, recent developments have shifted towards targeted rhizosphere engineering or microbial recruitments as a practical approach to constructing desired plant rhizospheres for specific outcomes. The rhizosphere, composed of plants, microbes, and soil, can be modified in several ways to improve inoculant efficiency. Rhizosphere engineering is achieved through three essential mechanisms: a) plant-mediated modifications involving genetic engineering, transgenics, and gene editing of plants; b) microbe-mediated modifications involving genetic alterations of microbes through upstream or downstream methodologies; and c) soil amendments. These mechanisms shape the rhizospheric microbiome, making plants more productive and resilient under different stress conditions. This review paper comprehensively summarizes the various aspects of rhizosphere engineering and their potential applications in maintaining plant health and achieving optimum agricultural productivity.

Network of Soil Fungi and the Microfauna Community under Diverse Anthropic Disturbances under Chrysopogon zizanioides Planting in the Reservoir

The reservoir coastal zone is the transitional zone between the terrestrial ecosystem and the aquatic ecosystem. Soil is an essential part of the terrestrial ecosystem and vital for life on Earth. To understand the composition and diversity of the soil eukaryotic microbial community under the background of artificial planting of Chrysopogon zizanioides in various habitats after reservoir construction, including the original habitat (OH), the hydro-fluctuation belt (HB), and the road slope (RS), and to analyze the interaction between the main groups of eukaryotic microorganisms, this study conducted 18S rDNA amplification high-throughput sequencing of the soil eukaryotic microbial community. The study found that the dominant phylum of eukaryotic microorganisms in the three habitats was consistent, but there were significant differences in the community and diversity of eukaryotic microorganisms in the three habitats. The differences in fungal communities between sample sites were greater than those of soil microfauna. Correlation analysis showed that nitrogen, phosphorus, and organic matter were significantly correlated with eukaryotic microbial diversity, with alkaline-hydrolyzed nitrogen and total phosphorus significantly correlated with fungal communities and pH and water content correlated with soil microfauna. Co-occurrence network analysis found that the interactions between fungi and the correlation between fungi and soil microfauna dominated the eukaryotic microbial community, and the interactions between eukaryotic microbes in different habitats were dominated by positive correlations. After the construction of the reservoir, the newly formed hydro-fluctuation belt reduced the types of interrelationships between fungi and microfauna compared to the original habitat. The road slope provided protection of the supporting project for the reservoir construction, although there was also planted vegetation. Eukaryotic microbes declined significantly due to the damage to and loss of the organic layer, and the decline in microfauna was the most significant, resulting in a simple structure of the soil food web, which affects the function and stability of the soil ecosystem.

Co-Occurrence Patterns of Soil Fungal and Bacterial Communities in Subtropical Forest-Transforming Areas

Soil microbial communities are engineers of important biogeochemical processes and play a critical role in regulating the functions and stability of forest ecosystem. However, few studies have assessed microbial interactions during forest conversion, which is essential to the understanding of the structure and function of soil microbiome. Herein, we investigated the co-occurrence network pattern and putative functions of fungal and bacterial communities in forest-transforming areas (five sites that cover the typical forests) using high-throughput sequencing of the ITS genes and 16S rRNA. Our study showed that the bacterial network had higher average connectivity and more links than fungal network, which might indicate that the bacterial community had more complex internal interactions compared with fungal one. Alphaproteobacteria_unclassfied, Telmatobacter, 0319-6A21 and Latescibacteria_unclassfied were the keystone taxa in bacterial network. For the fungal community network, the keystone taxon was Ceratobasidium. A structural equation model indicated that the available potassium and total organic carbon were important soil environmental factors, which affected all microbial modules, including bacterial and fungi. Total nitrogen had significant effects on the bacterial module that contains a relatively rich group of nitrogen cycling functions, and pH influenced the bacterial module which have higher potential functions of carbon cycling. And, more fungal modules were directly affected by forest structure (S Tree) compared with bacterial ones. This study provides new insights into our understanding of the feedback of underground creatures to forest conversion and highlights the importance of microbial modules in the nutrient cycling process.

Community assembly patterns and processes of bacteria in a field-scale aquaculture wastewater treatment system

Microbial communities are responsible for the biological treatment of wastewater, however, our comprehension of their diversity, assembly patterns, and functions remains limited. In this study, we analyzed bacterial communities in both water and sediment samples. These samples were gathered from a novel field-scale aquaculture wastewater treatment system (FAWTS), which employs a multi-stage purification process to eliminate nutrients from pond culture wastewater. Significant variations were observed in bacterial diversity and composition across various ponds within the system and at different stages of the culture. Notably, the bacterial community in the FAWTS displayed a distinct species abundance distribution. The influence of dispersal-driven processes on shaping FAWTS communities was found to be relatively weak. The utilization of neutral and null models unveiled that the assembly of microbial communities was primarily governed by stochastic processes. Moreover, environmental factors variables such as total nitrogen (TN), dissolved oxygen (DO), and temperature were found to be associated with both the composition and assembly of bacterial communities, influencing the relative significance of stochastic processes. Furthermore, we discovered a close relationship between that bacterial community composition and system functionality. These findings hold significant implications for microbial ecologists and environmental engineers, as they can collaboratively refine operational strategies while preserving biodiversity. This, in turn, promotes the stability and efficiency of the FAWTS. In summary, our study contributes to an enhanced mechanistic understanding of microbial community diversity, assembly patterns, and functionality within the FAWTS, offering valuable insights into both microbial ecology and wastewater treatment processes.

Different Microeukaryotic Trophic Groups Show Different Latitudinal Spatial Scale Dependences in Assembly Processes across the Continental Shelves of China

The relative role of stochasticity versus determinism is critically dependent on the spatial scale over which communities are studied. However, only a few studies have attempted to reveal how spatial scales influence the balance of different assembly processes. In this study, we investigated the latitudinal spatial scale dependences in assembly processes of microeukaryotic communities in surface water and sediment along the continental shelves of China. It was hypothesized that different microeukaryotic trophic groups (i.e., autotroph, heterotroph, mixotroph, and parasite) showed different latitudinal scale dependences in their assembly processes. Our results disclosed that the relative importance of different assembly processes depended on a latitudinal space scale for planktonic microeukaryotes. In surface water, as latitudinal difference increased, the relative contributions of homogenous selection and homogenizing dispersal decreased for the entire community, while those of heterogeneous selection and drift increased. The planktonic autotrophic and heterotrophic groups shifted from stochasticity-dominated processes to heterogeneous selection as latitudinal differences surpassed thresholds of 8° and 16°, respectively. For mixotrophic and parasitic groups, however, the assembly processes were always dominated by drift across different spatial scales. The balance of different assembly processes for the autotrophic group was mainly driven by temperature, whereas that of the heterotrophic group was driven by salinity and geographical distance. In sediment, neither the entire microeukaryotic community nor the four trophic groups showed remarkable spatial scale dependences in assembly processes; they were always overwhelmingly dominated by the drift. This work provides a deeper understanding of the distribution mechanisms of microeukaryotes along the continental shelves of China from the perspective of trophic groups.