The Variation of the Soil Bacterial and Fungal Community Is Linked to Land Use Types in Northeast China

Alterations in soil microbial phospholipid fatty acid profile with soil depth following cropland conversion in karst region, southwest China

The soil microbial community is a key indicator used to evaluate the effectiveness of land use changes in degraded ecosystems. However, there is currently limited information on the vertical variations of soil microbial communities under different cropland types in the karst region of southwest China. In this study, three different cropland types (sugarcane, mulberry, and forage grass) were selected to replace maize-soybean cultivation in a karst area of southwest China. Secondary forest was included for comparison. Soil was collected at soil depths of 0-10 cm, 10-20 cm, 20-30 cm, and 30-50 cm to conduct a phospholipid fatty acid (PLFA) analysis of the soil microbial communities. The results showed that the abundances of total PLFAs and PLFAs of bacteria, fungi, actinomycetes, and arbuscular mycorrhizal fungi were significantly higher in forage grass cultivation and secondary forest areas than those in other three cropland types. The abundance of total PLFA and its functional groups significantly decreased with increasing soil depth. Bacteria was the predominant community (> 52%) across all land use types and soil depths. A principal component analysis indicated that soil microbial PLFA composition in forage grass field and secondary forest areas differed significantly from that in mulberry, sugarcane, and maize-soybean fields across 0-50-cm soil layer. Soil organic carbon was identified as the primary factor affecting the abundance and structure of soil microbial communities in the four soil layers. These results suggest that greater improvements in soil quality and fertility could be made by replacing the maize-soybean rotation system with forage grass cultivation than by replacing it with mulberry or sugarcane cultivation in the karst region of southwest China.

Effect of polyaspartic acid on soil water storage, soil microbial diversity, cotton yield and fiber quality

Water-saving is one of the most important problems in agricultural development, especially in arid and semi-arid areas. The effects of polyaspartic acid (PASP) on soil water storage, soil microbial community, soil physiochemical properties, cotton yield and fiber quality were studied to find water-saving material utilized in cotton field. The experiment was divided into two parts, the first part concerned the direct application of three different amounts of PASP under field conditions. In the second part, PASP was mixed with soil in different proportions and the mixtures were put into bottles, which were then buried in the cotton field. The application of PASP improved the water-holding capacity and thus increased water content available to the cotton root system in the cotton field for a long time, and significantly (p < 0.05) increased the content of soil organic matter, available P and ammonium-N. Relative abundances of Methylophaga, Sphingomonas, Cupriavidus, Pseudeurotium, Fusarium and Nectria were significantly affected by applying PASP. Compared to the control group, 15, 75 and 150 kg ha^-1 of PASP increased seed cotton yield by 3.94, 8.31 and 7.71%, respectively. The application of PASP also increased the reflectance degree, Micronaire and short fiber index of cotton. These results suggested that 75 kg ha^-1 of PASP can be appropriate to alleviate drought stress in arid and semi-arid areas.

Differential Response of Soil Microbial Community Structure in Coal Mining Areas during Different Ecological Restoration Processes

Micro-organisms play important roles in promoting soil ecosystem restoration, but much of the current research has been limited to changes in microbial community structure in general, and little is known regarding the more sensitive and indicative microbial structures or the responses of microbial diversity to environmental change. In this study, based on high-throughput sequencing and molecular ecological network analyses, the structural characteristics of bacterial communities were investigated in response to four different ecological restoration modes in a coal mining subsidence area located in northwest China. The results showed that among soil nutrients, nitrate-nitrogen and fast-acting potassium were the most strongly associated with microbial community structure under different ecological restoration types. Proteobacteria, Actinobacteria, and Acidobacteria were identified as important phyla regarding network connectivity and structural composition. The central natural recovery zone was found to have the smallest network size and low complexity, but high modularity and good microbial community stability. Contrastingly, a highly complex molecular ecological network of soils in the photovoltaic economic zone existed beneath the photovoltaic modules, although no key species, strong bacterial competition, poor resistance to disturbance, and a significant increase in the relative abundance of Gemmatimonadetes were found. Furthermore, the reclamation zone had the highest soil nutrient content, the most complex network structure, and the most key and indicator species; however, the ecological network was less stable and readily disturbed.

Interaction between Fungal Communities, Soil Properties, and the Survival of Invading E. coli O157:H7 in Soils

Pathogens that invade into the soil cancontaminate food and water, andinfect animals and human beings. It is well documented that individual bacterial phyla are well correlated with the survival of E. coliO157 (EcO157), while the interaction betweenthe fungal communities and EcO157 survival remains largely unknown. In this study, soil samples from Tongliao, Siping, and Yanji in northeast China were collected and characterized. Total DNA was extracted for fungal and bacterial community characterization. EcO157 cells were spiked into the soils, and their survival behavior was investigated. Results showed that both fungal and bacterial communities were significantly correlated (p < 0.01) with the survival of EcO157 in soils, and the relative abundances of fungal groups (Dothideomycetes and Sordariomycetes) and some bacterial phyla (Acidobacteria, Firmicutes, gamma- and delta-Proteobacteria)weresignificantly correlated with ttds (p < 0.01). Soil pH, EC (electric conductance) salinity, and water-soluble nitrate nitrogen were significantly correlated with survival time (time to reach the detection limit, ttd) (p < 0.05). The structural equation model indicated that fungal communities could directly influence ttds, and soil properties could indirectly influence the ttds through fungal communities. The first log reduction time (δ) was mainly correlated with soil properties, while the shape parameter (p) was largely correlated with fungal communities. Our data indicated that both fungal and bacterial communities were closely correlated (p < 0.05)with the survival of EcO157 in soils, and different fungal and bacterial groups might play different roles. Fungal communities and bacterial communities explained 5.87% and 17.32% of the overall variation of survival parameters, respectively. Soil properties explained about one-third of the overall variation of survival parameters. These findings expand our current understanding of the environmental behavior of human pathogens in soils.