Pathophysiology and transcriptomic analysis of Picea koraiensis inoculated by bark beetle-vectored fungus Ophiostoma bicolor

Ophiostomatoid fungi exhibit a complex relationship with bark beetles; exhausting of host tree defenses is traditionally regarded as one of the key benefits provided to beetle vectors. Ophiostoma bicolor is one of the dominant species of the mycobiota associated with Ips genus bark beetles which infect the spruce trees across the Eurasian continent. Host spruce trees resist fungal invasion through structural and inducible defenses, but the underlying mechanisms at the molecular level, particularly with respect to the interaction between bark beetle-associated fungi and host trees, remain unclear. The aim of this study was to observe the pathological physiology and molecular changes in Picea koraiensis seedlings after artificial inoculation with O. bicolor strains (TS, BH, QH, MX, and LWQ). This study showed that O. bicolor was a weakly virulent pathogen of spruce, and that the virulent of the five O. bicolor strains showed differentiation. All O. bicolor strains could induce monoterpenoid release. A positive correlation between fungal virulence and release of monoterpenoids was observed. Furthermore, the release rate of monoterpenoids peaked at 4 days post-inoculation (dpi) and then decreased from 4 to 90 dpi. Transcriptomic analysis at 4 dpi showed that many plant-pathogen interaction processes and mitogen-activated protein kinase (MAPK) metabolic processes were activated. The expression of monoterpenoid precursor synthesis genes and diterpenoid synthesis genes was upregulated, indicating that gene expression regulated the release rate of monoterpenoids at 4 dpi. The enriched pathways may reveal the immune response mechanism of spruce to ophiostomatoid fungi. The dominant O. bicolor possibly induces the host defense rather than defense depletion, which is likely the pattern conducted by the pioneers of beetle-associated mycobiota, such as Endoconidiophora spp.. Overall, these results facilitate a better understanding of the interaction mechanism between the dominant association of beetles and the host at the molecular level

Identification of a novel prognostic and therapeutic prediction model in clear cell renal carcinoma based on Renin-angiotensin system related genes

BackgroundClear cell renal cell carcinoma is the most predominant type of renal malignancies, characterized by high aggressiveness and probability of distant metastasis. Renin angiotensin system (RAS) plays a crucial role in maintaining fluid balance within the human body, and its involvement in tumorigenesis is increasingly being uncovered, while its role in ccRCC remains unclear.MethodsWGCNA was used to identify RAS related genes. Machine learning was applied to screen hub genes for constructing risk model, E-MTAB-1980 dataset was used for external validation. Transwell and CCK8 assays were used to investigate the impact of SLC6A19 to ccRCC cells.ResultsSLC6A19, SLC16A12 and SMIM24 were eventually screened to construct risk model and the predictive efficiency for prognosis was validated by internal and external cohorts. Moreover, the differences were found in pathway enrichment, immune cell infiltration, mutational landscapes and drug prediction between high and low risk groups. Experimental results indicated that SLC6A19 could inhibit invasion and proliferation of ccRCC cells and GSEA pinpointed that SLC6A19 was intimately correlated with fatty acid metabolism and CPT1A.ConclusionThe risk model based on the three RAS-related genes have a robust ability to predict the prognosis and drug sensitivity of ccRCC patients, further providing a valid instruction for clinical care

Impact of combiner aerobic and resistance training on depression: a systematic review and meta-analysis of randomized controlled trials

Abstract Objective To summarize the existing literature and evaluate the efficacy of combined resistance and aerobic training in alleviating depressive symptoms among individuals with depression. Subgroup analyses were conducted based on study region, age, depression severity, intervention duration, intervention frequency, and whether the intervention was supervised or unsupervised. Methods Five databases were thoroughly examined from database establishment until August 20, 2024, to find randomized controlled trials that investigated resistance combined aerobic training impact on depression. Results Finally, 27 eligible studies were included, involving a total of 2,342 patients with depression. The outcomes indicated that resistance combined aerobic training notably improved signs of depression in these patients (SMD=-1.39, 95%CI=-1.80 to -0.96, p = 0.000). Subgroup analysis based on study area, age, severity of depressive symptoms, and exercise prescription revealed that resistance combined aerobic training had a particularly significant effect on middle-aged and elderly patients with depression, as well as on those with moderate depression. Additionally, moderate period (9–24 weeks), moderate frequency (3–4 times per week), a total weekly duration of more than 180 min and supervised training displayed the best results. Conclusion Resistance combined aerobic training serves as an efficient approach to relieve depression-related symptoms, particularly in middle-aged and elderly patients with depression and those with moderate depression. Moderate training intensity, duration, frequency, and total weekly duration offer the greatest benefit

Severe Ice Conditions in the Bohai Sea, China, and Mild Ice Conditions in the Great Lakes during the 2009/10 Winter: Links to El Niño and a Strong Negative Arctic Oscillation

AbstractThis study investigates the causes of severe ice conditions over the Bohai Sea, China, and mild ice cover over the North American Great Lakes under the same hemispheric climate patterns during the 2009/10 winter with a strong negative Arctic Oscillation (AO) and an El Niño event. The main cause of severe ice cover over the Bohai Sea was the strong negative AO. Six of seven winters with severe ice were associated with a strong negative AO during the period 1954–2010. The Siberian high (SH) in the 2009/10 winter was close to normal. The influence of El Niño on the Bohai Sea was not significant. In contrast, the mild ice conditions in the Great Lakes were mainly caused by the strong El Niño event. Although the negative AO generally produces significant colder surface air temperature (SAT) and heavy ice cover over the Great Lakes, when it coincided with a strong El Niño event during the 2009/10 winter the El Niño–induced Pacific–North America (PNA)-like pattern dominated the midlatitudes and was responsible for the flattening of the ridge–trough system over North America, leading to warmer-than-normal temperatures and mild ice conditions over the Great Lakes. This comparative study revealed that interannual variability of SAT in North America, including the Great Lakes, is effectively influenced by El Niño events through a PNA or PNA-like pattern whereas the interannual variability of SAT in northeastern China, including the Bohai Sea area, was mainly controlled by AO and SH.</jats:p

Application of Drilling Strain Analysis Technology in Mine Dynamic Geological Disaster Monitoring

Abstract This article applies the borehole strain observation technology to mine dynamic disaster monitoring for the first time, and uses the fractal box dimension to quantitatively analyse the time history change characteristics of borehole strain data and its correlation with rock bursts. The article uses the drilling multi-parameter test device to test in the mine, and judges the stress distribution by collecting the drilling parameter data obtained from the test hole of the working face of the test point. The study found that the application of borehole strain observation technology to mine dynamic disaster monitoring can directly and accurately record the micro-dynamic change process of rock mass in the area before and after the occurrence of rock burst. The fractal box dimension can quantify the complex changes and evaluation of strain data. Abnormal degree of water tide distortion.</jats:p