Hydrological and soil physiochemical variables determine the rhizospheric microbiota in subtropical lakeshore areas

Existence of antibiotic pollutant in agricultural soil: Exploring the correlation between microbiome and pea yield

Due to sewage irrigation, manure fertilizer application or other agricultural activities, antibiotics have been introduced into farmland as an emerging contaminant, existing with other agrochemicals. However, the potential influences of antibiotics on the efficiency of agrochemicals and crops health are still unclear. In this work, the effect of antibiotics on fertilization efficiency and pea yield was evaluated, and the mechanism was explored in view of soil microbiome. Nitrogen utilization and pea yield were decreased by antibiotics. In specific, the weight of seeds decreased 9.5 % by 5 mg/kg antibiotics and decreased 25.1 % by 50 mg/kg antibiotics. For N nutrient in pea, antibiotics resulted in 62.5 %-63.7 % decrease in amino acid content and 8.3 %-35.3 % decrease in inorganic-N content. Further research showed that antibiotics interfered with N cycle in soil, inhibiting urea decomposition and denitrification process by reducing function genes ureC, nirK and norB in soil, thus decreasing N availability. Meanwhile, antibiotics destroyed the enzyme function in N assimilation. This work evaluated the environmental risk of antibiotics from fertilization efficiency and N utilization in crop. Antibiotics could not only affect N cycle, limiting the decomposition of N fertilizer, but also affect N utilization in plants, thus affecting the yield and even the quality of leguminous crops.

Diversity and Distribution Characteristics of Soil Microbes across Forest-Peatland Ecotones in the Permafrost Regions

Permafrost peatlands are a huge carbon pool that is uniquely sensitive to global warming. However, despite the importance of peatlands in global carbon sequestration and biogeochemical cycles, few studies have characterized the distribution characteristics and drivers of soil microbial community structure in forest-peatland ecotones. Here, we investigated the vertical distribution patterns of soil microbial communities in three typical peatlands along an environmental gradient using Illumina high-throughput sequencing. Our findings indicated that bacterial richness and diversity decreased with increasing soil depth in coniferous swamp (LT) and thicket swamp (HT), whereas the opposite trend was observed in a tussock swamp (NT). Additionally, these parameters decreased at 0-20 and 20-40 cm and increased at 40-60 cm along the environmental gradient (LT to NT). Principal coordinate analysis (PCoA) indicated that the soil microbial community structure was more significantly affected by peatland type than soil depth. Actinomycetota, Proteobacteria, Firmicutes, Chloroflexota, Acidobacteriota, and Bacteroidota were the predominant bacterial phyla across all soil samples. Moreover, there were no significant differences in the functional pathways between the three peatlands at each depth, except for amino acid metabolism, membrane transport, cell motility, and signal transduction. Redundancy analysis (RDA) revealed that pH and soil water content were the primary environmental factors influencing the bacterial community structure. Therefore, this study is crucial to accurately forecast potential changes in peatland ecosystems and improve our understanding of the role of peat microbes as carbon pumps in the process of permafrost degradation.

Seasonal variation significantly affected bacterioplankton and eukaryoplankton community composition in Xijiang River, China

Both bacterioplankton and eukaryoplankton communities play important roles in the geochemical cycles and energy flows of river ecosystems. However, whether a seasonal change in bacterioplankton and eukaryoplankton communities is synchronous remains unclear. To test the synchronicity and analyze how physical and chemical environmental factors affect these communities, we compared bacterioplankton and eukaryoplankton communities in surface water samples between March (dry season) and June (rainfall season) considering water environmental factors. Our results showed that there was no significant difference in operational taxonomic unit number, Shannon index, and Chao1 index in bacterioplankton and eukaryoplankton communities between March and June. However, principal component analysis showed that the communities were significantly different between the sampling times and sampling sites. Water temperature (WT), oxidation-reduction potential (ORP), water transparency (SD), NO₃-N, and NH₃ significantly influenced bacterioplankton communities, and WT, SD, ORP, and NH₄-N significantly influenced eukaryoplankton communities in the river. These results implied that compared with the sampling sites, sampling times more significantly affected the bacterioplankton and eukaryoplankton river communities by influencing WT, ORP, SD, and nitrogen forms.