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,...     

A SNP-based genetic dissection of versatile traits in bread wheat (Triticum aestivum L.)

The continuous increase in global population prompts increased wheat production. Future wheat (Triticum aestivum L.) breeding will heavily rely on dissecting molecular and genetic bases of wheat yield and related traits which is possible through the discovery of quantitative trait loci (QTLs) in constructed populations, such as recombinant inbred lines (RILs). Here, we present an evaluation of 92 RILs in a bi-parental RIL mapping population (the International Triticeae Mapping Initiative Mapping Population [ITMI/MP]) using newly generated phenotypic data in 3-year experiments (2015), older phenotypic data (1997–2009), and newly created single nucleotide polymorphism (SNP) marker data based on 92 of the original RILs to search for novel and stable QTLs. Our analyses of more than 15 unique traits observed in multiple experiments included analyses of 46 traits in three environments in the USA, 69 traits in eight environments in Germany, 149 traits in 10 environments in Russia, and 28 traits in four environments in India (292 traits in 25 environments) with 7584 SNPs (292 × 7584 = 2 214 528 data points). A total of 874 QTLs were detected with limit of detection (LOD) scores of 2.01–3.0 and 432 QTLs were detected with LOD > 3.0. Moreover, 769 QTLs could be assigned to 183 clusters based on the common markers and relative proximity of related QTLs, indicating gene-rich regions throughout the A, B, and D genomes of common wheat. This upgraded genotype–phenotype information of ITMI/MP can assist breeders and geneticists who can make crosses with suitable RILs to improve or investigate traits of interest.     

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。     

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.