DNMT3b SUMOylation Mediated MMP-2 Upregulation Contribute to Paclitaxel Induced Neuropathic Pain

Neurochemical Research - Paclitaxel is a common chemotherapeutic agent in cancer treatment, while it often causes chemotherapy-induced peripheral neuropathy (CIPN), which...     

High-content screening of diterpenoids from Isodon species as autophagy modulators and the functional study of their antiviral activities

Cell Biology and Toxicology - Autophagy is a conserved lysosomal degradation process, and abnormal autophagy has been associated with various pathological processes, e.g., neurodegeneration,...     

染色质调节元件与不同启动子的相互作用对基因表达调控的影响

为探究DNA序列元件对不同启动子调节转基因稳定表达的影响,利用遍在染色质开放元件 (Ubiquitous chromatin opening elements,UCOE) 和基质黏附序列 (Scaffold/matrix-attachment regions,MAR) 分别与含增强子的oct4基因启动子、含CpG岛的sox2基因启动子和不含调控元件的nanog基因启动子以及同时包含增强子和CpG岛的CMV启动子组合构建pOCT4-MAR、pOCT4-UCOE、pSOX2-MAR、pSOX2-UCOE、pNANOG-MAR、pNANOG-UCOE、pCMV-UCOE、pCMV-MAR等质粒,分析这些质粒稳定转染后的表达量和嵌合表达差异。结果发现,UCOE与含增强子元件的oct4启动子组合能较稳定高效表达,而MAR与含CpG岛的sox2启动子组合能较稳定高效表达。利用排除位置效应原因的嵌合表达对染色质高级结构调控基因表达的稳定性分析表明：(1) 通常情况下UCOE比MAR调节的表达载体的表达更高效和更稳定;UCOE连接含CpG岛的启动子形成开放染色质调节的高表达更稳定;(2) MAR与启动子上TATA盒或增强子可能通过染色质环产生高表达,但相对不稳定。结论：染色质调节元件UCOE和MAR与启动子调控元件之间能通过染色质开放状态或染色质环调控基因稳定表达。     

黄山典型植被类型土壤真菌群落特征及其影响因素

黄山地势高差明显,植被类型多样,生态系统保存完整,是研究森林生态系统土壤真菌群落的天然实验室。本研究采集黄山典型植被下土壤样本,利用Illumina NovaSeq高通量测序技术分析土壤真菌群落结构,结合土壤理化性质探讨不同植被类型影响真菌群落组成的潜在因素。结果共检测到13个真菌门,优势真菌门依次为：担子菌门Basidiomycota,获得38目,202属,相对丰度介于7.30%-90.71%,在常绿落叶阔叶混交林、山地矮林及落叶阔叶林中出现高值,局部呈现先增后减的单峰变化格局;子囊菌门Ascomycota有56目,393属,相对丰度介于4.69%-53.07%,随着典型植被类型变化无明显变化规律;被孢霉门Mortierellomycota获得1目和2属,相对丰度介于2.88%-29.92%,随着典型植被类型变化呈现U型变化模式;5种植被类型土壤中共检测到34个不同分类单元的真菌指示类群,落叶阔叶林土壤真菌指示类群最为丰富,占67%;pH显著影响土壤真菌α多样性（Pearson,P<0.001）,是黄山土壤真菌群落变异的主控因子（Monte Corlo 检验,P<0.01）。     

Drought stress and plant ecotype drive microbiome recruitment in switchgrass rhizosheath

The rhizosheath, a layer of soil grains that adheres firmly to roots, is beneficial for plant growth and adaptation to drought environments. Switchgrass is a perennial C4 grass which can form contact rhizosheath under drought conditions. In this study, we characterized the microbiomes of four different rhizocompartments of two switchgrass ecotypes (Alamo and Kanlow) grown under drought or well-watered conditions via 16S ribosomal RNA amplicon sequencing. These four rhizocompartments, the bulk soil, rhizosheath soil, rhizoplane, and root endosphere, harbored both distinct and overlapping microbial communities. The root compartments (rhizoplane and root endosphere) displayed low-complexity communities dominated by Proteobacteria and Firmicutes. Compared to bulk soil, Cyanobacteria and Bacteroidetes were selectively enriched, while Proteobacteria and Firmicutes were selectively depleted, in rhizosheath soil. Taxa from Proteobacteria or Firmicutes were specifically selected in Alamo or Kanlow rhizosheath soil. Following drought stress, Citrobacter and Acinetobacter were further enriched in rhizosheath soil, suggesting that rhizosheath microbiome assembly is driven by drought stress. Additionally, the ecotype-specific recruitment of rhizosheath microbiome reveals their differences in drought stress responses. Collectively, these results shed light on rhizosheath microbiome recruitment in switchgrass and lay the foundation for the improvement of drought tolerance in switchgrass by regulating the rhizosheath microbiome.