Effects of Soil Microbes on Forest Recovery to Climax Community through the Regulation of Nitrogen Cycling

Microbial nitrogen transformation regulates pathogenic virulence in soil environment

Soil nitrogen addition induces the generation and proliferation of some bacterial virulence, yet the interactive mechanisms between the two remain unclear. Here we investigated the variation of virulence genes (VGs) abundance during soil nitrogen transformation, and explored the biological mechanism and key pathways involved in the regulation of VGs by nitrogen transformation. The results showed that the diversity and abundance of virulence genes in soil under high nitrogen input (100 mg/kg) were markedly higher than those under low nitrogen input (50 mg/kg), suggesting a trade-off between the prevalence of virulence genes and nitrogen metabolism. Nutritional/metabolic factor, regulation, immune modulation and motility were the dominant virulence types. Linear regression analysis showed that soil nitrogen mineralization and nitrification rate were closely correlated with the abundance of virulence genes, mainly involving adherence, nutritional/metabolic factors and immune modulation (p < 0.05). Structural equations indicated that microbial community succession associated with nitrogen transformation largely contributed to the changes in VGs abundance. Metagenomic analysis revealed that major virulence genes pilE, pchB, and galE were regulated by nitrogen-functional genes gdh, ureC, and amoC, implying that microbial nitrogen transformation influences immune modulation, nutritional/metabolic factors, and adherence-like virulence. The meta-transcriptome reiterated their co-regulation, and the key pathway may be glutamate/urea> α-ketoglutarate/ammonia > pyruvate/amino acid. The outcome provides strong evidence on the linkage between microbial nitrogen transformation and pathogenic virulence factors development in the soil environment, which will aid in the effective suppression of the prevalence of soil pathogenic virulence.

Spatial Variation of Microbial Community Structure and Its Driving Environmental Factors in Two Forest Types in Permafrost Region of Greater Xing′an Mountains

Climate warming is accelerating permafrost degradation. Soil microorganisms play key roles in the maintenance of high-latitude permafrost regions and forest ecosystems’ functioning and regulation of biogeochemical cycles. In this study, we used Illumina MiSeq high-throughput sequencing to investigate soil bacterial community composition at a primeval Larix gmelinii forest and a secondary Betula platyphylla forest in a permafrost region of the Greater Xing’an Mountains. The Shannon diversity index tended to decrease and then increase with increasing soil depth, which was significantly higher in the L. gmelinii forest than in the B. platyphylla forest at 40–60 cm. Proteobacteria (19.86–29.68%), Acidobacteria (13.59–31.44%), Chloroflexi (11.04–27.19%), Actinobacteria (7.05–25.57%), Gemmatimonadetes (1.76–9.18%), and Verrucomicrobia (2.03–7.00%) were the predominant phyla of the bacterial community in two forest types. The relative abundance of Proteobacteria showed a decreasing trend in the B. platyphylla forest and an increasing trend in the L. gmelinii forest, whereas that of Chloroflexi increased and then decreased in the B. platyphylla forest and decreased in the L. gmelinii forest with increasing soil depth. The relative abundance of Acidobacteria was significantly higher in the B. platyphylla forest than in the L. gmelinii forest at 0–20 cm depth, whereas that of Actinobacteria was significantly higher in the L. gmelinii forest than in the B. platyphylla forest at 0–20 cm and 40–60 cm depth. Principal coordinate analysis (PCoA) and two-way analysis of variance (ANOVA) indicated that microbial community composition was more significantly influenced by forest type than soil depth. Redundancy analysis (RDA) showed that microbial community structure was strongly affected by soil physicochemical properties such as nitrate nitrogen (NO3−-N), pH, and total organic carbon (TOC). These results offer insights into the potential relationship between soil microbial community and forest conversion in high latitude permafrost ecosystems.

Cambisol Mycobiome in a Long-Term Field Experiment with Korean Pine as a Sole Edificator: A Case Study

A culture-independent mycobiome survey in Haplic Cambisol under Korean pine in a long-term field experiment in the Russian Far East was conducted using sequence analysis of the ITS region amplified with ITS3/ITS4 primers using the metagenomic DNA as a matrix. Overall 758 fungal OTUs were identified, representing 15 phyla, 47 classes, 104 orders, 183 families, and 258 genera. More OTUs represented the Ascomycota phylum (513) than Basidiomycota (113), with both phyla together comprising 95% of the relative abundance. The Leotiomycetes class was ultimately prevailing; apparently contributing significantly to the organic matter decomposition and microbial biomass in soil, as shown by a PCA. Only two dominant OTUs (Pseudogymnoascus sp. and Hyaloscyphaceae, both Ascomycota) were common in the studied samples. The presented high mycobiome diversity in soil under the monospecies artificial forest, where Korean pine had been the sole edificator for forty years, allows concluding that plant chemistry diversity is the main factor shaping the soil mycobiome in such an environment. The obtained data provide a reference for further studies of soil mycobiota, especially under Korean pine with its aesthetic, as well as nut-producing, potential. The results can be helpful in the targeted creating of a soil mycobiome beneficial for pines in afforestation and remediation contexts.

Microbial Nitrogen Transformation Potential in Sediments of Two Contrasting Lakes Is Spatially Structured but Seasonally Stable

The nitrogen (N) cycle is of global importance, as N is an essential element and a limiting nutrient in terrestrial and aquatic ecosystems. Excessive anthropogenic N fertilizer usage threatens sensitive downstream aquatic ecosystems. Although freshwater lake sediments remove N through various microbially mediated processes, few studies have investigated the microbial communities involved. In an integrated biogeochemical and microbiological study on a eutrophic and oligotrophic lake, we estimated N removal rates from pore water concentration gradients in sediments. Simultaneously, the abundance of different microbial N transformation genes was investigated using metagenomics on a seasonal and spatial scale. We observed that contrasting nutrient concentrations in sediments were associated with distinct microbial community compositions and significant differences in abundances of various N transformation genes. For both characteristics, we observed a more pronounced spatial than seasonal variability within each lake. The eutrophic Lake Baldegg showed a higher denitrification potential with higher nosZ gene (N₂O reductase) abundances and higher nirS:nirK (nitrite reductase) ratios, indicating a greater capacity for complete denitrification. Correspondingly, this lake had a higher N removal efficiency. The oligotrophic Lake Sarnen, in contrast, had a higher potential for nitrification. Specifically, it harbored a high abundance of Nitrospira, including some with the potential for comammox. Our results demonstrate that knowledge of the genomic N transformation potential is important for interpreting N process rates and understanding how the lacustrine sedimentary N cycle responds to variations in trophic conditions.

IMPORTANCE Anthropogenic nitrogen (N) inputs can lead to eutrophication in surface waters, especially in N-limited coastal ecosystems. Lakes effectively remove reactive N by transforming it to N₂ through microbial denitrification or anammox. The rates and distributions of these microbial processes are affected by factors such as the amount and quality of settling organic material and nitrate concentrations. However, the microbial communities mediating these N transformation processes in freshwater lake sediments remain largely unknown. We provide the first seasonally and spatially resolved metagenomic analysis of the N cycle in sediments of two lakes with different trophic states. We show that lakes with different trophic states select for distinct communities of N-cycling microorganisms with contrasting functional potentials for N transformation.