[Biological Evaluation and Key Stress Factor Diagnosis of Compound Contaminated Soil Based on Environmental DNA].

Healthy biological community composition and diversity are the basis for soil ecosystems to provide complete ecological functions and services. The current technical bottleneck in soil pollution control is the lack of systematic and comprehensive biodiversity indicators. In this study, the compound-polluted soil in an industrial park was taken as the object, and environmental DNA (eDNA)technology was used to monitor and analyze the composition of the biological community in the polluted soil. The environmental DNA-species sensitivity distribution (eDNA-SSD) method was constructed to diagnose the key stress factors and their ecological threshold. The results showed that:① compound pollution did not have a significant impact on the α-diversity of soil organisms in the park but led to changes in the composition of biological communities and dominant species with high relative abundance. The dominant groups in the polluted soil were Proteobacteria (25.54%), Ascomycota (15.65%), Actinobacteria (8.75%), and Chloroflexi (7.64%). ② Environmental factors accounted for 51.27% of the differences in soil biodistribution, and aniline, sulfate, petroleum hydrocarbon, and lead were the key stress factors for soil biomes. Among them, aniline had the most significant effect on the community distribution of bacteria (P=0.030), sulfate on fungi (P=0.025), and metazoans (P=0.032). ③ The ecological risk threshold (hazardous concentration for 5% of species, HC5) of pollutants with 95% species as the protection target showed a gradient decreasing trend of sulfate (470.00 mg·kg-1), petroleum hydrocarbon (17.00 mg·kg-1), lead (13.00 mg·kg-1), arsenic (6.20 mg·kg-1), 4-chloroaniline (0.16 mg·kg-1), and aniline (0.11 mg·kg-1). Nevertheless, the existing soil risk control value was significantly higher than the ecological risk value, indicating that the existing control standards targeting human health were not suitable for protecting soil health. The comprehensive pollution index showed that the soil pollution in the park was mostly mild pollution accompanied by heavy pollution at individual points. The biological evaluation method based on eDNA-SSD could achieve the comprehensive evaluation of composite pollution in the absence of the benchmark value of pollutants and at the same time better distinguish the differences in soil biological community structure and composition under different pollution levels (P=0.053). In conclusion, the environmental DNA soil biomonitoring and assessment method developed in this study has guiding significance and application value for soil ecosystem restoration assessment.

[Serum Proteomic Analysis and Construction of Protein-protein Interaction Networks about Ejaculation Praecox with Shen-yang Deficiency].

Objective To identify serum proteome of ejaculation praecox(EP) with Shen-yang de- ficiency, and to explore its pathogenesis of EP in the protein-protein interaction ( PPI) network. Methods The serum samples were respectively collected from 4 EP with Shen-yang deficiency patients and 4 healthy controls. After the serum proteome of EP with Shen-yang deficiency was obtained, the technology of isobaric tags for relative and absolute quantitation (iTRAQ) was adopted for identification. The STRING data- base was applied to construct the PPI network whose function was analyzed through bioinformatics meth- ods. Results A group of 238 serum proteins were identified in total, of which, 162 proteins reached the strict quantitative standard. Nine proteins were differently expressed, including 1 up-regulated and 8 down-regulated. The constructed PPI network was constituted by 72 protein nodes and 283 protein couples, and could be clustered to 16 clusters, in which 10 clusters were composed of 3 or more proteins. Each cluster could be found with a core protein correspondingly. The core protein of C3,C5,C1S and MASP2 were all main constituents of complement system, whose function involves in biological process of complement ac- tivation. Conclusions The protein models in PPI network of differently expressed serum proteome about EP with Shen-yang deficiency were functional enriched in the biological process of complement activa-, tion; which indicate that a immune dysfuction dominated by abnormal process of complent activation may' be one of the main mechanisms of EP with Shen-yang deficiency.