Distribution of endophytic bacteria in Alopecurus aequalis Sobol and Oxalis corniculata L. from soils contaminated by polycyclic aromatic hydrocarbons.

The distributions of endophytic bacteria in Alopecurus aequalis Sobol and Oxalis corniculata L. grown in soils contaminated with different levels of polycyclic aromatic hydrocarbons (PAHs) were investigated with polymerase chain reaction followed by denaturing gradient gel electrophoresis technology (PCR-DGGE) and cultivation methods. Twelve types of PAHs, at concentrations varying from 0.16 to 180 mg·kg(-1), were observed in the roots and shoots of the two plants. The total PAH concentrations in Alopecurus aequalis Sobol obtained from three different PAH-contaminated stations were 184, 197, and 304 mg·kg(-1), and the total PAH concentrations in Oxalis corniculata L. were 251, 346, and 600 mg·kg(-1), respectively. The PCR-DGGE results showed that the endophytic bacterial communities in the roots and shoots of the two plants were quite different, although most bacteria belonged to Firmicutes, Proteobacteria, Actinobacteria and Bacteroidetes. A total of 68 endophytic bacterial strains were isolated from different tissues of the two plants and classified into three phyla: Firmicutes, Proteobacteria and Bacteroidetes. In both plants, Bacillus spp. and Pseudomonas spp. were the dominant cultivable populations. With an increase in the PAH pollution level, the diversity and distribution of endophytic bacteria in the two plants changed correspondingly, and the number of cultivable endophytic bacterial strains decreased rapidly. Testing of the isolated endophytic bacteria for tolerance to each type of PAH showed that most isolates could grow well on Luria-Bertani media in the presence of different PAHs, and some isolates were able to grow rapidly on a mineral salt medium with a single PAH as the sole carbon and energy source, indicating that these strains may have the potential to degrade PAHs in plants. This research provides the first insight into the characteristics of endophytic bacterial populations under different PAH pollution levels and provides a species resource for the isolation of PAH-degrading endophytic bacteria

Application of data mining technology and intelligent information technology in the construction and management of the water conservancy project in Area A

At present, the construction and management efficiency of water conservancy projects is low, hydrological prediction errors are common, and the utilization rate of water resources is low. Based on this, this paper applies data mining technology and intelligent information technology to water conservancy project management. This will help to better study the construction and management of hydraulic projects. By adopting data mining technology, valuable data in hydraulic engineering can be extracted and analyzed. Through careful analysis and evaluation of the data, we can predict the runoff of reservoir hydrology in Area A. The experimental results show that the data mining technology can be used to predict the runoff of Reservoir A from January to December 2020. In addition, using machine learning techniques to make predictions, the prediction error rate varies by 6.2%. The research shows that the use of data mining technology can improve the efficiency of water conservancy project construction and management, and improve the utilization rate of the project. HIGHLIGHTS This paper proposes to apply data mining technology and intelligent information technology to water conservancy project management.; The experimental results show that the runoff of Reservoir A from January to December 2020 can be predicted by using data mining technology.; The research shows that the use of data mining technology can improve the efficiency of water conservancy project construction and management, and improve the utilization rate of the project.

Research on the Evaluation and Spatial–Temporal Evolution of Safe and Resilient Cities Based on Catastrophe Theory—A Case Study of Ten Regions in Western China

In today’s highly complex world, urban security has become a focus of attention for people in various positions due to its enormous uncertainty. As an essential path towards urban safety, resilient development can effectively provide emergency management capability for cities when they are exposed to unknown risks. In this study, an evaluation-index system for urban-safety resilience was constructed from the perspective of sustainable urban development. The urban-safety-resilience evaluation model was established with the help of catastrophe theory to study and analyze urban-safety resilience. The corresponding spatial–temporal-evolution analysis used the geographic information system (GIS) and Moran index to evaluate the urban-security resilience of 10 regions in western China. Finally, it was concluded that (1) the urban-safety resilience of most regions in western China showed an increasing trend over time in 2017, 2019, and 2021; (2) the urban-safety resilience of Chongqing, Sichuan, and Shaanxi provinces is at a relatively high level compared to the western region overall; and (3) regions such as Ningxia and Gansu are disaster-prone, and urban infrastructure conditions are relatively backward. Therefore, urban planning and governance should be flexibly transformed to explore and apply appropriate urban-safety-resilience models, with sustainable development as the cornerstone

Amounts of cultivable endophytic bacterial strains belonging to each genus in <i>Alopecurus aequalis</i> (A) and <i>Oxalis corniculata</i> (B) under different PAH pollution levels.

<p>Amounts of cultivable endophytic bacterial strains belonging to each genus in <i>Alopecurus aequalis</i> (A) and <i>Oxalis corniculata</i> (B) under different PAH pollution levels.</p

Concentrations of PAHs in <i>Oxalis corniculata</i>.

<p>_PAHs means the plant concentration factors of total PAHs. Note: different letters in the same row indicates a significant differences (P<0.05); CF</p

The similarity of endophytic bacterial community in roots of <i>Alopecurus aequalis</i> (A), shoots of <i>Alopecurus aequalis</i> (B), roots of <i>Oxalis corniculata</i>(C) and shoots of <i>Oxalis corniculata</i> (D).

<p>1- Q pollution level (defined as 100%), 2- Z pollution level, 3-A pollution level.</p

Concentrations of PAHs in soils.

<p> Note: different letters in the same row indicate significant differences (P<0.05).</p

Circulating MicroRNA-21 Is a Potential Diagnostic Biomarker in Gastric Cancer

MicroRNA-21 was upexpressed in gastric cancer (GC) indicating that it is a potential diagnostic biomarker for GC. In this study, 50 GC patients and 50 healthy controls were recruited. miR-21 levels in serum and peripheral blood mononuclear cells (PBMCs) were quantified using quantitative real-time PCR. CA199, and CEA were measured using electrochemiluminescence assay. The sensitivity and specificity of circulating miR-21, CA199 and CEA in GC diagnosis, the correlation of circulating miR-21 to clinicopathological features, and the diagnostic value of miR-21 in different GC stages were determined. The levels of miR-21 in both serum and PBMCs increased significantly in GC patients comparing to healthy controls; however, no correlation was observed between circulating miR-21 level and clinicopathological features. The sensitivity and specificity of miR-21 in serum and PBMCs, and CA199 and CEA in GC diagnosis were 88.4%, 79.6%, 81.3%, 73.4%, 60.5%, 55.9%, and 68.6%, 59.3%, respectively. The positive prediction rates of circulating miR-21 in GC stages I to IV were all around 90%, while those of CA199 and CEA were around or less than 50%. Our data suggest circulating miR-21 (both in serum and in PBMCs) can serve as a good biomarker for GC and could be used in diagnosis of early (stage I) and late GC (stage IV)

Phylogenetic trees by 16S rDNA V3 sequence analysis of endophytic bacterial community of <i>Alopecurus aequalis</i> (A) and <i>Oxalis corniculata</i> (B).

<p>The codes with characters and numbers indicate the isolated DGGE bands. Bootstrap values are shown for each node in a bootstrap analysis of 1,000 replicates.</p