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In a scenario of climate change and intensive land-use change, the issue of salt marsh degradation caused by global warming and soil salinization is becoming more serious. A climate chamber experiment was conducted to examine the responses of tuber sprouting and seedling growth of Schoenoplectus nipponicus to variations in the temperature regimes (20/10, 25/15, 30/20 and 35/25°C; 12-h light/dark 12-h photoperiod) and different salt concentrations (0, 50, 75, and 100 mmol/L salinity). Results showed that the final sprouting percentage decreased with the increase in salinity and increased with the rising temperature. Salinity lower than 50 mmol/L was the most favorable for tuber sprouting. Under high salinity (75 and 100 mmol/L salinity), the inhibition of tuber sprouting at 20/10°C was greater than other temperature regimes. Along the temperature gradients, both plant height and leaf N content increased, and root length decreased under non-saline-alkali conditions, while plant height, leaf N content, and root length declined significantly under salt stress (50, 75, and 100 mmol/L salinity). With the increase in temperature, the production of tubers under the control treatments was enhanced significantly, but that under salt stress declined significantly. Under 0 mmol/L salinity, the accumulation of biomass in various organs increased with rising temperature. Biomass accumulation increased first and then declined for plants grown under salt stress, with a peak value of 25/15°C. Root: shoot ratio was reduced significantly under the combination of high salt stress (75 and 100 mmol/L salinity) and high temperatures (30/20°C and 35/25°C). Our study will contribute to a better understanding of the influence of climate warming and increasing serious human disturbances on this important wetland species.

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Current climate models predict more intense rainstorms and temperature extreme events under future global climate change. Estimation of environmental factors thresholds might provide important information for the common patterns of species distributions and management of wetland ecosystems. The laboratory experiment

Background Glioma is a primary malignant cancer of the most common and aggressive sort occurring in the neuroectoderm, with an extremely high incidence of morbidity, mortality, and recurrence. There are limited treatment options for glioma. It is recognized that dysregulation of RNA binding proteins (RBPs) is intimately involved in the occurrence and progression of multiple malignant cancers. However, the role of RBP in glioma is not fully understood. In the current study, we used a new model to predict the course of glioma development and prognosis related to RBP. Methods To begin with, we obtained RNA-seq profiles of glioma and matched clinical data from the Chinese Glioma Genome Data (CGGA) database. The unsupervised clustering algorithms such as the K-means clustering algorithm, t-SNE, U-MAP, and principal component analysis were used to identify tumor subtypes that were pivotal in the development of glioma. Subsequently the progression of tumor subtypes was determined by the MS scoring model and proposed time series analysis. Next, RBPs with a major role in the progression of glioma were identified by weighted gene co-expression network analysis and Lasso Cox regression models. Functional analysis of key RBP-related genes was performed by gene set enrichment analysis (GSEA) and the STRING database to reveal the potential mechanisms of the biomarker. Results A total of six tumor subgroups were identified and were strongly homogeneous among subgroups. The stages of progression of the six tumor subgroups were identified by the proposed time-series analysis and MS model. We confirmed that BCLAF1 was correlated with survival in glioma patients and was closely associated with the progression of glioma by weighted gene co-expression network analysis, Lasso Cox, and multivariate Cox regression analysis. Finally, Functional annotation shows that BCLAF1 may influence the progression of glioma through RNA shearing that affects cell cycle, Wnt signaling pathway, and other cancer development signals. Conclusions In summary, the present study first identified six subtypes of glioma progression as well as the malignancy ranking. Secondly, it was established that BCLAF1 could be used as an RBP-related prognostic marker with extremely important applications in the clinical diagnosis and personalized treatment of glioma.