The complete mitochondrial genome of Chrysopa pallens (Neuroptera, Chrysopidae) was sequenced. It consists of 13 protein-coding genes, 22 transfer RNA genes, 2 ribosomal RNA (rRNA) genes, and a control region (AT-rich region). The total length of C. pallens mitogenome is 16,723 bp with 79.5% AT content, and the length of control region is 1905 bp with 89.1% AT content. The non-coding regions of C. pallens include control region between 12S rRNA and trnI genes, and a 75-bp space region between trnI and trnQ genes.

Strong ultraviolet radiation and low temperature environment on Gangshika Mountain, located in the eastern part of the Qilian Mountains in Qinghai Province, can force plants to produce some special secondary metabolites for resisting severe environmental stress. However, the adaptive mechanism of Draba oreades Schrenk at high altitude are still unclear. In the current study, Draba oreades Schrenk from the Gangshika Mountain at altitudes of 3800 m, 4000 m and 4200 m were collected for comprehensive metabolic evaluation using pseudotargeted metabolomics method. Through KEGG pathway enrichment analysis, we found that phenylpropanoid biosynthesis, phenylalanine, tyrosine and tryptophan biosynthesis and phenylalanine metabolism related to the biosynthesis of flavonoids were up-regulated in the high-altitude group, which may enhance the environmental adaptability to strong ultraviolet intensity and low temperature stress in high altitude areas. By TopFc20 distribution diagram, the content of flavonoids gradually increased with the elevation of altitude, mainly including apigenin, luteolin, quercetin, hesperidin, kaempferol and their derivatives. Based on the random forest model, 10 important metabolites were identified as potential biomarkers. L-phenylalanine, L-histidine, naringenin-7-O-Rutinoside-4’-O-glucoside and apigenin related to the flavonoids biosynthesis and plant disease resistance were increased with the elevation of altitude. This study provided important insights for the adaptive mechanism of Draba oreades Schrenk at high altitude by pseudotargeted metabolomics.

Four new bisamides 1–4, and two new rhamnosides (5, 6), along with four known compounds 7–10, were isolated from a scale culture of the mangrove-derived actinomycete Streptomyces sp. SZ-A15. All structures were determined through analysis of the UV, IR, HRESIMS, 1D and 2D NMR spectra as well as by comparison with literature data. BRD4 inhibition of all isolated compounds was evaluated. As for the ability to inhibit protein BRD4, compound 9 exhibited moderate activity with the value of 78.4 ± 2.2% at 10 μM.

Untangling the multiple drivers that affect biodiversity along elevation gradients is crucial for predicting the consequences of climate change on mountain ecosystems. However, the distribution patterns of microorganisms along elevation gradients have not yet been clarified, in particular when associated with strong changes in dominant species. Five typical vegetation types (i.e., coniferous forests, meadow grasslands, alpine shrubs, alpine meadows, and sparse vegetation of limestone flats) from contrasting vegetation belts were selected to explore the influence of elevation gradients on soil microbial communities. The results showed that Actinobacteriota and Proteobacteria were the dominant bacterial phyla. Ascomycota and Basidiomycota were the prevalent fungal phyla. Soil bacterial alpha diversity increased with increasing elevation, while soil fungal alpha diversity showed an obvious mid-elevation pattern. The beta diversity of the bacterial and fungal communities reflected a clear spatial niche-differentiation, and indicated that herbaceous plants affected soil bacterial communities while shrubs preferred soil fungal communities. A correlation analysis showed that environmental factors had different contributions to the composition and diversity of soil microbial communities. Soil bacteria were primarily affected by soil properties, whereas fungi were affected by vegetation. The research results can improve the prediction of soil microbial ecological processes and patterns related to elevation, and provide a theoretical basis for maintaining the sustainable development of soil microbial biodiversity under the background of global change.

Climate warming promotes alpine plant migration to higher elevations, yet how they adapt via stoichiometric homeostasis remains unclear. We measured plant C, N, and P traits and homeostasis across community and functional group levels in three alpine vegetation types—meadow (3200–3400 m), shrubland (3400–3700 m), and cushion vegetation (3700–4400 m)—along an altitudinal gradient in the northern Qilian Mountains, Tibetan Plateau. Shrubland, as ecotones, had higher soil C and N, with plant communities showing the highest N and N:P but lowest C:N. At the functional group level, Poaceae (Gramineae) and forbs had the highest N and N:P, while Cyperaceae had the highest P in shrubland. Notably, Cyperaceae in shrubland exhibited weak P and C:P homeostasis. Poaceae (Gramineae) were mainly influenced by soil, Cyperaceae by climate, and forbs by elevation. Structural equation modeling showed elevation indirectly affected stoichiometry via climate and soil; climate influenced nutrient contents, while soil controlled C:N:P ratios. These results reveal diverse nutrient regulation and survival strategies in alpine plants, enhancing understanding of adaptation and community assembly under climate change.