Energy–water and seasonal variations in climate underlie the spatial distribution patterns of gymnosperm species richness in China

Studying the pattern of species richness is crucial in understanding the diversity and distribution of organisms in the earth. Climate and human influences are the major driving factors that directly influence the large‐scale distributions of plant species, including gymnosperms. Understanding how gymnosperms respond to climate, topography, and human‐induced changes is useful in predicting the impacts of global change. Here, we attempt to evaluate how climatic and human‐induced processes could affect the spatial richness patterns of gymnosperms in China. Initially, we divided a map of the country into grid cells of 50 × 50 km² spatial resolution and plotted the geographical coordinate distribution occurrence of 236 native gymnosperm taxa. The gymnosperm taxa were separated into three response variables: (a) all species, (b) endemic species, and (c) nonendemic species, based on their distribution. The species richness patterns of these response variables to four predictor sets were also evaluated: (a) energy–water, (b) climatic seasonality, (c) habitat heterogeneity, and (d) human influences. We performed generalized linear models (GLMs) and variation partitioning analyses to determine the effect of predictors on spatial richness patterns. The results showed that the distribution pattern of species richness was highest in the southwestern mountainous area and Taiwan in China. We found a significant relationship between the predictor variable set and species richness pattern. Further, our findings provide evidence that climatic seasonality is the most important factor in explaining distinct fractions of variations in the species richness patterns of all studied response variables. Moreover, it was found that energy–water was the best predictor set to determine the richness pattern of all species and endemic species, while habitat heterogeneity has a better influence on nonendemic species. Therefore, we conclude that with the current climate fluctuations as a result of climate change and increasing human activities, gymnosperms might face a high risk of extinction.     

Genetic diversity and population structure of Quercus fabri Hance in China revealed by genotyping‐by‐sequencing

Analysis of genetic diversity and population structure among Quercus fabri populations is essential for the conservation and utilization of Q. fabri resources. Here, the genetic diversity and structure of 158 individuals from 13 natural populations of Quercus fabri in China were analyzed using genotyping‐by‐sequencing (GBS). A total of 459,564 high‐quality single nucleotide polymorphisms (SNPs) were obtained after filtration for subsequent analysis. Genetic structure analysis revealed that these individuals can be clustered into two groups and the structure can be explained mainly by the geographic barrier, showed gene introgression from coastal to inland areas and high mountains could significantly hinder the mutual introgression of genes. Genetic diversity analysis indicated that the individual differences within groups are greater than the differences between the two groups. These results will help us better understand the genetic backgrounds of Q. fabri.     

Examining differences in phylogenetic composition enhances understanding of the phylogenetic structure of the shrub community in the northeastern Qinghai‐Tibetan Plateau

Periodic climatic oscillations and species dispersal during the postglacial period are two important causes of plant assemblage and distribution on the Qinghai‐Tibet Plateau (QTP). To improve our understanding of the bio‐geological histories of shrub communities on the QTP, we tested two hypotheses. First, the intensity of climatic oscillations played a filtering role during community structuring. Second, species dispersal during the postglacial period contributed to the recovery of species and phylogenetic diversity and the emergence of phylogenetic overdispersion. To test these hypotheses, we investigated and compared the shrub communities in the alpine and desert habitats of the northeastern QTP. Notably, we observed higher levels of species and phylogenetic diversity in the alpine habitat than in the desert habitat, leading to phylogenetic overdispersion in the alpine shrub communities versus phylogenetic clustering in the desert shrub communities. This phylogenetic overdispersion increased with greater climate anomalies. These results suggest that (a) although climate anomalies strongly affect shrub communities, these phenomena do not act as a filter for shrub community structuring, and (b) species dispersal increases phylogenetic diversity and overdispersion in a community. Moreover, our investigation of the phylogenetic community composition revealed a larger number of plant clades in the alpine shrub communities than in the desert shrub communities, which provided insights into plant clade‐level differences in the phylogenetic structures of alpine and desert shrub communities in the northeastern QTP.     

40种蕨类植物matK基因的系统分类及分子进化研究

采用“放松分子钟”模型、氨基酸位点正选择模型和分子内共进化网络估算方法,对蕨类植物Ⅱ型内含子成熟酶蛋白K(Maturase K,MATK)编码基因matK的进化趋势进行研究。结果显示:matK基因在蕨类植物系统学研究中具有一定的应用价值,与rbcL基因和psaA基因联合后能显著提升系统发育树的可信度;蕨类植物MATK蛋白中存在少数曾经历正选择的位点;MATK蛋白内部有多对氨基酸位点共同构成共进化网络。在被子植物兴起环境改变后,MATK蛋白部分位点发生适应性进化,通过位点间共进化网络协同作用方式提升蕨类植物对新光合环境的适应能力。     

Revealing mechanism of Caulis Sargentodoxae for the treatment of ulcerative colitis based on network pharmacology approach

Objective: The traditional Chinese medicine Caulis Sargentodoxae is widely used in the treatment of ulcerative colitis (UC), but the mechanism remains unknown. The present study aims to reveal its effective components, targets and pathways through network pharmacology and bioinformatics approaches.Materials and methods: Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP) was used to identify effective components. The ligand-based targets prediction was achieved through SwissTargetPrediction and TargetNet. UC-related targets were identified using Gene Expression Omnibus (GEO) data and DisGeNET. The common targets of disease and components were constructed and analyzed by PPI network. Lastly, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses are used to explain the functions of these common targets. Components-Targets-Pathways network was visualized and analyzed to further reveal the connection between the components and targets.Results: Eight active components and 102 key targets were identified to play an important role in UC. These targets were related to regulation of protein serine/threonine kinase activity, positive regulation of cell motility, response to molecule of bacterial origin, response to toxic substance, ERK1 and ERK2 cascade, peptidyl-tyrosine modification, inositol lipid-mediated signaling, cellular response to drug, regulation of inflammatory response and leukocyte migration. Moreover, HIF-1 signaling pathway and PI3K-Akt signaling pathway were the key targets involved in UC-related signaling pathways.Conclusion: The eight active components of Caulis Sargentodoxae mainly play a therapeutic role for UC through synergistic regulation of HIF-1 signaling pathway and PI3K-Akt signaling pathway.     

MicroRNA-222 alleviates radiation-induced apoptosis by targeting BCL2L11 in cochlea hair cells

Radiation-induced hair cell injury is detrimental for human health but the underlying mechanism is not clear. MicroRNAs (miRNAs) have critical roles in various types of cellular biological processes. The present study investigated the role of miR-222 in the regulation of ionizing radiation (IR)-induced cell injury in auditory cells and its underlying mechanism. Real-time PCR was performed to identify the expression profile of miR-222 in the cochlea hair cell line HEI-OC1 after IR exposure. miRNA mimics or inhibitor-mediated up- or down-regulation of indicated miRNA was applied to characterize the biological effects of miR-222 using MTT, apoptosis and DNA damage assay. Bioinformatics analyses and luciferase reporter assays were applied to identify an miRNA target gene. Our study confirmed that IR treatment significantly suppressed miR-222 levels in a dose-dependent manner. Up-regulation of miR-222 enhances cell viability and alleviated IR-induced apoptosis and DNA damage in HEI-OC1 cells. In addition, BCL-2-like protein 11 (BCL2L11) was validated as a direct target of miR-222. Overexpression of BCL2L11 abolished the protective effects of miR-222 in IR-treated HEI-OC1 cells. Moreover, miR-222 alleviated IR-induced apoptosis and DNA damage by directly targeting BCL2L11. The present study demonstrates that miR-222 exhibits protective effects against irradiation-induced cell injury by directly targeting BCL2L11 in cochlear cells.     

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...     

Gibberellin-Induced Alterations to the Expression of Cell Wall-Related Genes in the Xylem of Carrot Root

Journal of Plant Growth Regulation - Gibberellins (GAs) are a group of plant hormones that play important roles in various processes. Previous studies demonstrated that GA can increase the...