Soil depth exerts stronger impact on bacterial community than elevation in subtropical forests of Huangshan Mountain

Soil depth exerts greater effect on bacterial community than spatial structure in Longmenshan fault zone

The diversity patterns and drivers of soil microbial communities across spatial distances have been extensively investigated over the recent years. However, whether microbial communities in surface and subsurface soils showed an identical spatial distribution pattern at a small regional scale has not been fully confirmed. For this, we investigated the linkage between soil water content (SWC), pH as well as nutrient contents and soil bacterial diversity and communities in different soil layers in the Longmenshan fault zone in Sichuan Province, China. Our investigation indicated that surface soil bacterial communities were positively correlated with SWC and pH (P < 0.05), whereas those in the subsurface correlated with soil organic carbon and its fractions (P < 0.05). Bacterial community co-occurrence network structures differed significantly across soil layers. Compared to subsurface soils, surface soils had more nodes, larger network diameters, and longer average paths. The keystone species belonged to Rokubacteriales in the surface, and in the subsurface soil, they belonged to Chryseobacterium, while no keystone species were found in the subsoil. Spatial distance showed a smaller effect (4%-7%) on community structure, indicating that various soil factors represent key regulatory factors for bacterial community shifts. Collectively, soil depth showed a considerably higher effect than spatial distance on soil bacterial community composition and network properties in Longmenshan fault zone, with key species differing across soil layers. These results could provide an essential basis for further investigation of microbial functions in soil ecosystem heterogeneity and maintaining soil health.

IMPORTANCE

Soil water content served as the main driver of changes in surface soil bacterial diversity and community. Spatial structure had a greater influence on surface soil bacterial communities and diversity. Soil depth had a significantly higher effect on soil bacterial community composition and network properties than site. Our results may provide insights into the impact of microbial functions on biodiversity and ecosystem service functions.

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.

Vertical Stratification Reduces Microbial Network Complexity and Disrupts Nitrogen Balance in Seasonally Frozen Ground at Qinghai Lake in Tibet

Global climate change has accelerated the reduction of permafrost regions across different altitude gradients, shortening the duration of the freezing period to varying extents. However, the response of the soil microorganisms of frozen soils along altitude gradients remains unclear. In this study, we employed 16S rRNA sequencing and LC-MS metabolomics to investigate the response of soil microbial communities and soil metabolites to vertical stratification in the permafrost soils of the Qinghai Lake region. The results indicated that Proteobacteria, Firmicutes, and Actinobacteria were key soil bacterial phyla in the permafrost soils of Qinghai Lake during the freezing period, with Proteobacteria and Firmicutes showing significant sensitivity to vertical stratification (p < 0.05). The majority of the physicochemical factors exhibited a trend of initially increasing and then decreasing with increasing altitude, whereas pH showed the opposite trend. pH and moisture content were identified as the most important environmental factors influencing soil bacterial community structure. Deterministic processes dominated the assembly of bacterial communities of frozen soils in the Qinghai Lake basin. Co-occurrence network analysis showed that increasing altitude gradients led to a higher average degree of the bacterial network, while reducing network complexity and inter-species connectivity. Soil metabolomics analysis revealed that vertical stratification altered the metabolic profiles of 27 metabolites, with the significantly changed metabolites primarily associated with carbohydrate and amino acid metabolism. In conclusion, the characteristics of the Qinghai Lake permafrost were regulated by regional vertical stratification, which further influenced microbial community structure and soil metabolic characteristics, thereby altering carbon and nitrogen stocks. Specifically, higher altitudes were more favorable for the retention of the carbon and nitrogen stocks of frozen soils in the Qinghai Lake basin.

A baroduric immobilized composite material promoting remediation of oil-polluted sediment at typical deep-sea condition: The performances and potential mechanisms

Contriving immobilized bioreagent is of great significance to enhance bioremediation of marine oil pollution. However, there remains a notable scarcity of correlational study conducted at deep sea condition. Herein, we first developed a baroduric microsphere encasing biotic and chemical materials to remediate oil-contaminated sediments at deep-sea microcosm. Total oil degradation efficiency of microsphere-treated group reached 71% within a month, representing an approximate 35% increase compared to natural remediation. Absorption and biodegradation by microsphere provided a comparable contribution to oil elimination. Together with scanning electron microscope observation, the physical mechanism was that the reticulate structure of microsphere surface facilitating oil adsorption and bacteria attachment. Via metabarcoding analysis for meta and metabolically-active microbes, we demonstrated the primary working center was located at the microsphere. Proteobacteria, Firmicutes, Bacteroidota and Desulfobacterota were the key activated bacteria. More importantly, we revealed the ecological mechanisms were associated with the following aspects: 1) the addition of microsphere significantly improved the metabolic activity of bacteria (particularly including several oil-degrading taxa); 2) the microspheres enhanced ecological stability and microbial functional diversification during bioremediation; 3) expressing activity of pathways involving oil component degradation, biosurfactant production, biofilm architecture, biogeochemical and energy cycling all were observed to be up-regulated in microsphere-treated samples. Altogether, our results provide important theoretical guidance and data support on application of immobilization technology in removing in-situ oil pollution of deep-sea sediment.

Altitudinal decline of vegetation restoration effects on soil microbial communities on high-altitude roadside slops: Environmental drivers and management implications

Construction activities in high-altitude regions have left many bare roadside slopes vulnerable to degradation, complicating restoration efforts. Soil microorganisms are vital for plant growth and nutrient cycling, yet their responses to restoration efforts at various altitudes remains uncertain. This study investigates soil microbial composition, network properties, ecological functions, keystone taxa, and environmental drivers across three restored vegetation types: herbaceous plants (H), shrubs + herbaceous plants (SH), and trees + shrubs + herbaceous plants (TSH) at elevations from 3100 to 3800 m. Our structural equation model identifies elevation and vegetation type as key factors influencing microbial communities, directly or indirectly, through their effects on plant and soil properties. We also found that bacterial α-diversity decreased with elevation, while fungal α-diversity increased, resulting in more complex but less stable microbial networks. R-strategists predominated in the herbaceous type (H) and at lower altitudes, whereas K-strategists dominated in the SH and TSH types, and at higher altitudes. Keystone species of type H, associated with pathotrophs and plant pathogens, showed a negative correlation with plant properties, which weakened at higher altitudes. Both bacterial and fungal communities were driven more by abiotic factors, especially ammonium (NH4+-N) and dissolved organic nitrogen (DON) for bacteria and soil water content (SWC) for fungi. This study proposes managing restoration-sensitive microbes and keystone taxa associated with specific vegetation types for effective restoration at appropriate altitudes, especially those shared by SH and TSH. Furthermore, integrating suitable legume or nitrogen-fixing woody vegetation into restoration efforts at lower altitudes and herbaceous vegetation into higher altitudes has the potential to significantly enhance plant growth and health at high altitudes. This study offers valuable guidance for optimizing restoration strategies by effectively addressing key environmental factors and nurturing essential microbial species crucial for successful restoration efforts and global warming mitigation.

Depth-dependent effects of forest diversification on soil functionality and microbial community characteristics in subtropical forests

Soil microbes are critical to the maintenance of forest ecosystem function and stability. Forest diversification, such as monocultures versus mixed forests stands, can strongly influence microbial community patterns and processes, as well as their role in soil ecosystem multifunctionality, such as in subtropical forest ecosystems. However, less is known about these patterns and processes vary with soil depth. Here, we investigated the results of an eight-year forest diversification field experiment comparing the soil ecosystem multifunctionality, bacterial and fungal community assembly, and network patterns in mixed versus monoculture plantations along vertical profiles (0-80 cm depth) in a subtropical region. We found that the introduction of broadleaf trees in coniferous monocultures led to enhanced synergies between multiple functions, thus improving soil multifunctionality. The effects of mixed plantations on the functional potential in top soils were greater than in deep soils, especially for carbon degradation genes (apu, xylA, cex, and glx). Microbial community assembly in the top layer, particularly in mixed plantations, was dominated by stochastic processes, whereas deterministic were more important in the deep layer. Soil microbial network complexity and stability were higher in the top layer of mixed plantations, but in the deep layer was monoculture. Interestingly, the changes in microbial communities and multifunctionality in the top layer were mainly related to variation in nutrients, whereas those in the deep were more influenced by soil moisture. Overall, we reveal positive effects of mixed forest stands on soil microbial characteristics and functionality compared to that of monocultures. Our findings highlighted the importance of enhancing functional diversity through the promotion of tree species diversity, and managers can better develop forest management strategies to promote soil health under global change scenarios.

Metagenomic Insights into the Enhancement of Bioavailable Nitrogen in Continuous Cropping Soil Through the Application of Traditional Chinese Medicine Residue Following Fumigation

Background/Objectives: Chemical fumigation can effectively inhibit the occurrence of soil-borne diseases; however, this approach can negatively affect the structure of the soil microbial community. The combination of soil fumigant and organic fertilizer application thus represents a widely adopted strategy in agricultural practice. Traditional Chinese medicine residue (TCMR) is a high-quality organic fertilizer; however, the impact of post-fumigation TCMR application on keystone taxa and their functional traits remains uncertain. Methods: This study examined the effects of five fertilization treatments on the diversity, key species, and related functional genes of microbial communities in rhizosphere soil of continuous cropping pepper. Results: Chemical fumigation followed by TCMR application markedly enhanced soil nutrient content in the rhizosphere and significantly influenced microbial community composition as well as functional gene patterns associated with microbial nitrogen cycling. It was also strongly correlated with soil bioavailable nitrogen content. The abundance of keystone bacterial species (Pseudomonadota, Actinomycetota, and Bacillota) substantially increased following TCMR application, alongside a notable rise in Ascomycota abundance within the fungal community. This shift contributed to an increase in beneficial bacterial abundance while reducing that of harmful bacteria. Additionally, TCMR addition affected the abundance of denitrification and DNRA genes involved in nitrogen cycling; specifically, nirB and nirK were strongly associated with soil organic nitrogen content. Conclusions: The combined application of chemical fumigants and TCMR modified the composition of keystone microbial community species by influencing rhizosphere soil TN and other nutrients, and these alterations were linked to multiple nitrogen-cycling functional genes.

Elevational distribution patterns and drivers factors of fungal community diversity at different soil depths in the Abies georgei var. smithii forests on Sygera Mountains, southeastern Tibet, China

Introduction

Soil fungal communities play a crucial role in maintaining the ecological functions of alpine forest soil ecosystems. However, it is currently unclear how the distribution patterns of fungal communities in different soil layers of alpine forests will change along the elevational gradients.

Material and methods

Therefore, Illumina MiSeq sequencing technology was employed to investigate fungal communities in three soil layers (0-10, 10-20, and 20-30 cm) along an elevational gradient (3500 m to 4300 m) at Sygera Mountains, located in Bayi District, Nyingchi City, Tibet.

Results and discussion

The results indicated that: 1) Soil depth had a greater impact on fungal diversity than elevation, demonstrating a significant reduction in fungal diversity with increased soil depth but showing no significant difference with elevation changes in all soil layers. Within the 0-10 cm soil layer, both Basidiomycota and Ascomycota co-dominate the microbial community. However, as the soil depth increases to 10-20 and 20-30 cm soil layers, the Basidiomycota predominantly dominates. 2) Deterministic processes were dominant in the assembly mechanism of the 0-10 cm fungal community and remained unchanged with increasing elevation. By contrast, the assembly mechanisms of the 10-20 and 20-30 cm fungal communities shifted from deterministic to stochastic processes as elevation increased. 3) The network complexity of the 0-10 cm fungal community gradually increased with elevation, while that of the 10-20 and 20-30 cm fungal communities exhibited a decreasing trend. Compared to the 0-10 cm soil layer, more changes in the relative abundance of fungal biomarkers occurred in the 10-20 and 20-30 cm soil layers, indicating that the fungal communities at these depths are more sensitive to climate changes. Among the key factors driving these alterations, soil temperature and moisture soil water content stood out as pivotal in shaping the assembly mechanisms and network complexity of fungal communities. This study contributes to the understanding of soil fungal community patterns and drivers along elevational gradients in alpine ecosystems and provides important scientific evidence for predicting the functional responses of soil microbial ecosystems in alpine forests.

Depth effects on bacterial community altitudinal patterns and assembly processes in the warm-temperate montane forests of China

Soil bacterial communities are essential for ecosystem function, yet their response along altitudinal gradients in different soil strata remains unclear. Understanding bacterial community co-occurrence networks and assembly patterns in mountain ecosystems is crucial for comprehending microbial ecosystem functions. We utilized Illumina MiSeq sequencing to study bacterial diversity and assembly patterns of surface and subsurface soils across a range of elevations (700 to 2100 m) on Dongling Mountain. Our results showed significant altitudinal distribution patterns concerning bacterial diversity and structure in the surface soil. The bacterial diversity exhibited a consistent decrease, while specific taxa demonstrated unique patterns along the altitudinal gradient. However, no altitudinal dependence was observed for bacterial diversity and community structure in the subsurface soil. Additionally, a shift in bacterial ecological groups is evident with changing soil depth. Copiotrophic taxa thrive in surface soils characterized by higher carbon and nutrient content, while oligotrophic taxa dominate in subsurface soils with more limited resources. Bacterial community characteristics exhibited strong correlations with soil organic carbon in both soil layers, followed by pH in the surface soil and soil moisture in the subsurface soil. With increasing depth, there is an observable increase in taxa-taxa interaction complexity and network structure within bacterial communities. The surface soil exhibits greater sensitivity to environmental perturbations, leading to increased modularity and an abundance of positive relationships in its community networks compared to the subsurface soil. Furthermore, the bacterial community at different depths was influenced by combining deterministic and stochastic processes, with stochasticity (homogenizing dispersal and undominated) decreasing and determinism (heterogeneous selection) increasing with soil depth.

Differences in soil microbial community structure and assembly processes under warming and cooling conditions in an alpine forest ecosystem

Global climate change affects the soil microbial community assemblages of many ecosystems. However, little is known about the effects of climate warming on the structure of soil microbial communities or the underlying mechanisms that influence microbial community composition in alpine forest ecosystems. Thus, our ability to predict the future consequences of climate change is limited. In this study, with the use of PVC pipes, the in situ soils of the rush-tip long-bud Abies georgei var. smithii forest at 3500 and 4300 m above sea level (MASL) of the Sygera Mountains were incubated in pairs for 1 year to simulate climate cooling and warming. This shift corresponds to a change in soil temperature of ±4.7 °C. Findings showed that climate warming increased the complexity of bacterial networks but decreased the complexity of fungal networks. Climate cooling also increased the complexity of bacterial networks. However, in fungal communities, climate cooling increased the number of nodes but decreased the total number of edges. Stochastic processes acted as the drivers of bacterial community composition, with climate warming leading the shift from deterministic to stochastic drivers. Fungal communities were more sensitive to climate change than bacterial communities, with soil temperature (ST) and soil water content (SWC) acting as the main drivers of change. By contrast, soil bacterial communities were more closely related to soil conditions than fungal communities and remained stable after a year of soil transplantation. In conclusion, fungi and bacteria had different response patterns, and their responses to climate cooling and warming were asymmetric. This work is expected to contribute to our understanding of the response to climate change of soil microbial communities in alpine forests and our prediction of the functions of soil microbial ecosystems in alpine forests.

Vertical variation in prokaryotic community composition and co-occurrence patterns in sediments of the Three Gorges Reservoir, China

Archaea and bacteria are distributed throughout the sediment; however, our understanding of their biodiversity patterns, community composition, and interactions is primarily limited to the surface horizons (0-20 cm). In this research, sediment samples were collected from three vertical sediment profiles (depths of 0-295 cm) in the Three Gorges Reservoir (TGR), one of the largest reservoirs in the world. Through 16S rRNA sequencing, it was shown that sediment microbial diversity did not significantly vary across the sediment. Nevertheless, a decline in the similarity of archaeal and bacterial communities over distance along sediment vertical profiles was noted. Nonmetric multidimensional scaling (NMDS) analysis revealed that archaeal and bacterial communities could be clearly separated into two groups, located in the upper sediments (0-135 cm) and deep sediments (155-295 cm). Meanwhile, at the fine-scale of the vertical section, noteworthy variations were observed in the relative abundance of prominent archaea (e.g., Euryarchaeota) and bacteria (e.g., Proteobacteria). The linear discriminant analysis effect size (LEfSe) demonstrated that twenty-four bacterial and twenty-six archaeal biomarker microbes exist in the upper and deep sediment layers. Each layer exhibited distinctive microbial divisions, suggesting that microbes with diverse biological functions are capable of thriving and propagating along the sediment profile. Co-occurrence network analysis further indicated that the microbial network in the upper sediments was more complex than that in the deep sediments. Additionally, the newly discovered anaerobic methanotrophic archaeon Candidatus Methanoperedens was identified as the most abundant keystone archaeal taxon in both sediment layers, highlighting the significance of methane oxidation in material cycling within the TGR ecosystem. In summary, our study examined the biodiversity and coexistence patterns of benthic microbial communities throughout the vertical sediment profile, providing detailed insights into the vertical geography of archaeal and bacterial communities in typical deep-water reservoir ecosystems.

Soil depth exerts a stronger impact on microbial communities and the sulfur biological cycle than salinity in salinized soils

The distribution of microbial communities along salinity gradients in the surface layer of salinized soils has been widely studied. However, it is unknown whether microbial communities exhibit similar distribution patterns in surface and deep soils. Additionally, the relationship between soil depth, salinity, and sulfur metabolism remains unclear. Herein, bulk soils in the surface (S, 5-10 cm) and deep (D, 20-25 cm) layers from high- and low-salinity soils were analyzed using metagenomic and physicochemical analyses. Soil depth was significantly correlated to the concentration of sulfur compounds in the soil and exerted a stronger effect than salinity. Non-metric multidimensional scaling analysis revealed significant differences in microbial community structure with varying soil depths and salinities. However, soil depth clearly influenced microbial community abundance, homogeneity, and diversity, while salinity had a limited effect on microbial abundance. Archaea and bacteria were enriched in the surface and deep soils, respectively. Gene abundance analysis revealed significant differences in the abundance of sulfur-related genes at different soil depths. The abundance of sulfur oxidation genes was lower in deep soil than in surface soil, whereas the abundance of other sulfur-related genes showed the opposite trend. Redundancy analysis (RDA) showed that environmental factors and sulfur compounds have a significant impact on sulfur metabolism genes, with sulfide significantly affecting low-salinity soils in the surface and deep layers, whereas salinity and sulfane sulfur had a greater correlation with high-salinity soils. Correlation analysis further showed that Euryarchaeota clustered with Bacteroidetes and Balneolaeota, while Proteobacteria clustered with many phyla, such as Acidobacteria. Various sulfur metabolism genes were widely distributed in both clusters. Our results indicate that microorganisms actively participate in the sulfur cycle in saline soils and that soil depth can affect these processes and the structure of microbial communities to a greater extent than soil salinity.

Simulating the effect of climate change on soil microbial community in an Abies georgei var. smithii forest

Qinghai-Tibet Plateau is considered a region vulnerable to the effects of climate change. Studying the effects of climate change on the structure and function of soil microbial communities will provide insight into the carbon cycle under climate change. However, to date, changes in the successional dynamics and stability of microbial communities under the combined effects of climate change (warming or cooling) remain unknown, which limits our ability to predict the consequences of future climate change. In this study, in situ soil columns of an Abies georgei var. smithii forest at 4,300 and 3,500 m elevation in the Sygera Mountains were incubated in pairs for 1 year using the PVC tube method to simulate climate warming and cooling, corresponding to a temperature change of ±4.7°C. Illumina HiSeq sequencing was applied to study alterations in soil bacterial and fungal communities of different soil layers. Results showed that warming did not significantly affect the fungal and bacterial diversity of the 0-10 cm soil layer, but the fungal and bacterial diversity of the 20-30 cm soil layer increased significantly after warming. Warming changed the structure of fungal and bacterial communities in all soil layers (0-10 cm, 10-20 cm, and 20-30 cm), and the effect increased with the increase of soil layers. Cooling had almost no significant effect on fungal and bacterial diversity in all soil layers. Cooling changed the structure of fungal communities in all soil layers, but it showed no significant effect on the structure of bacterial communities in all soil layers because fungi are more adapted than bacteria to environments with high soil water content (SWC) and low temperatures. Redundancy analysis (RDA) and hierarchical analysis showed that changes in soil bacterial community structure were primarily related to soil physical and chemical properties, whereas changes in soil fungal community structure primarily affected SWC and soil temperature (Soil Temp). The specialization ratio of fungi and bacteria increased with soil depth, and fungi were significantly higher than bacteria, indicating that climate change has a greater impact on microorganisms in deeper soil layers, and fungi are more sensitive to climate change. Furthermore, a warmer climate could create more ecological niches for microbial species to coexist and increase the strength of microbial interactions, whereas a cooler climate could have the opposite effect. However, we found differences in the intensity of microbial interactions in response to climate change in different soil layers. This study provides new insights to understand and predict future effects of climate change on soil microbes in alpine forest ecosystems.

Soil Bacterial Communities from Three Agricultural Production Systems in Rural Landscapes of Palmira, Colombia

Soils play important roles in the proper functioning of agroecosystems. Using molecular characterization methods such as metabarcoding, soils from eight farms (57 samples) belonging to three production system types-agroecological (two farms with twenty-two sampling points), organic (three farms with twenty-one sampling points), and conventional (three farms with fourteen sampling points)-were compared from the rural villages of El Arenillo and El Mesón in Palmira, Colombia. Amplification and sequencing of the hypervariable V4 region of the 16S rRNA gene was performed using next-generation sequencing (Illumina MiSeq) to estimate the bacterial composition and the alpha and beta diversity present. Across all soil samples, we found 2 domains (Archaea and Bacteria), 56 phylum, 190 classes, 386 orders, 632 families, and 1101 genera to be present. The most abundant phyla in the three systems were Proteobacteria, (agroecological 28%, organic 30%, and conventional 27%), Acidobacteria (agroecological 22%, organic 21%, and conventional 24%), and Verrucomicrobia (agroecological 10%, organic 6%, and conventional 13%). We found 41 nitrogen-fixing and phosphate-dissolving genera which promote growth and pathogens. Alpha and beta diversity indices were very similar across the three agricultural production systems, as reflected by shared amplicon sequence variants (ASVs) among them, likely due to the proximity of the sampling sites and recent management changes.

The effects of adding exogenous lignocellulose degrading bacteria during straw incorporation in cold regions on degradation characteristics and soil indigenous bacteria communities

Low temperature is one of the bottleneck factors that limits the degradation of straw during rice straw incorporation. Determining strategies to promote the efficient degradation of straw in cold regions has become a highly active research area. This study was to investigate the effect of rice straw incorporation by adding exogenous lignocellulose decomposition microbial consortiums at different soil depths in cold regions. The results showed that the lignocellulose was degraded the most efficiently during straw incorporation, which was in deep soil with the full addition of a high-temperature bacterial system. The composite bacterial systems changed the indigenous soil microbial community structure and diminished the effect of straw incorporation on soil pH, it also significantly increased rice yield and effectively enhanced the functional abundance of soil microorganisms. The predominant bacteria SJA-15, Gemmatimonadaceae, and Bradyrhizobium promoted straw degradation. The concentration of bacterial system and the depth of soil had significantly positive correlations on lignocellulose degradation. These results provide new insights and a theoretical basis for the changes in the soil microbial community and the application of lignocellulose-degrading composite microbial systems with straw incorporation in cold regions.