Female cuckoo calls elicit anti-predatory behavior in birds

Journal of Ethology - Imperfect Batesian mimicry is common in nature. Female common cuckoos (Cuculus canorus), for instance, seem to be imperfect mimics of hawks (Accipiter spp.) in both appearance...     

C19orf66 Inhibits Japanese Encephalitis Virus Replication by Targeting -1 PRF and the NS3 Protein

Virologica Sinica - The Japanese encephalitis serogroup of the neurogenic Flavivirus has a specific feature that expresses a non-structural protein NS1′ produced through a programmed -1...     

Extensive profiling of the expressions of tRNAs and tRNA-derived fragments (tRFs) reveals the complexities of tRNA and tRF populations in plants

Evidence is emerging that t RNA-derived fragments(t RFs) are regulatory molecules. Studies of t RFs in plants have been based on conventional small RNA sequencing, and focused on profiling of t RF-5 and t RF-3 species. A more comprehensive and quantitative analysis of the entire t RF population is highly necessary. Here, we employ t RNA-seq and YAMAT-seq, and develop a bioinformatics tool to comprehensively profile the expressions of t RNAs and t RFs in plants. We show that in Arabidopsis,approximately half of t RNA genes are extremely weakly expressed, accounting for only 1% of total t RNA abundance, while～12% of t RNA genes contribute to ～80% of t RNA abundance. Our t RNA sequencings in various plants reveal that t RNA expression profiles exhibit a cross-species conserved pattern. By characterizing the composition of a highly heterogeneous t RF population, we show that t RNA halves and previously unnoticed 10–16-nt tiny t RFs represent substantial portions. The highly accumulated 13-nt and 16-nt tiny t RFs in Arabidopsis indicate that tiny t RFs are not random t RNA degradation products. Finally,we provide a user-friendly database for displaying the dynamic spatiotemporal expressions of t RNAs and t RFs in the model plants Arabidopsis and rice.     

Minor salivary gland mesenchymal stromal cells derived from patients with Sjӧgren's syndrome deploy intact immune plasticity

Background aimsMesenchymal stromal cells (MSCs) provide minor salivary glands (MSGs) with support and niche cells for epithelial glandular tissue. Little is known about resident MSG-derived MSCs (MSG-MSCs) in primary Sj?gren's syndrome (PSS). The authors’ objective is to define the immunobiology of endogenous PSS MSG-MSCs.MethodsUsing culture-adapted MSG-MSCs isolated from consenting PSS subjects (n = 13), the authors performed in vitro interrogation of PSS MSG-MSC immunobiology and global gene expression compared with controls. To this end, the authors performed phenotypic and immune functional analysis of indoleamine 2,3-dioxygenase (IDO), programmed death ligand 1 (PD-L1) and intercellular adhesion marker 1 (ICAM-1) before and after interferon γ (IFNγ) licensing as well as the effect of MSG-MSCs on T-cell proliferation. Considering the female predominance of PSS, the authors also addressed the influence of 17-β-estradiol on estrogen receptor α-positive-related MSC function.ResultsThe authors found that MSG-MSCs deployed normal immune regulatory functionality after IFNγ stimulation, as demonstrated by increased protein-level expression of IDO, PD-L1 and ICAM-1. The authors also found that MSG-MSCs suppressed T-cell proliferation in a dose-dependent manner independent of 17-β-estradiol exposure. Gene ontology and pathway analysis highlighted extracellular matrix deposition as a possible difference between PSS and control MSG-MSCs. MSG-MSCs demonstrated increased α-smooth muscle actin expression in PSS, indicating a partial myofibroblast-like adaptation.ConclusionsThese findings establish similar immune regulatory function of MSG-MSCs in both PSS and control patients, precluding intrinsic MSC immune regulatory defects in PSS. PSS MSG-MSCs show a partial imprinted myofibroblast-like phenotype that may arise in the setting of chronic inflammation, providing a plausible etiology for PSS-related glandular fibrosis.     

Interleukin-1 receptor antagonist inhibits metastatic potential by down-regulating CXCL12/CXCR4 signaling axis in colorectal cancer

Wnt signaling plays key roles in cellular and physiological processes, including cell proliferation, differentiation and migration during development and tissue homeostasis in adults. This pathway can be defined as Wnt/β-catenin-dependent or β-catenin-independent or “non-canonical”, both signaling are involved in neurite and synapse development/maintenance. Porcupine (PORCN), an acylase that o-acylates Wnt ligands, a major modification in secretion and interaction with its receptors. We use Wnt-C59, a specific PORCN inhibitor, to block the secretion of endogenous Wnts in embryonic hippocampal neurons (DIV 4). Under these conditions, the activity of exogenous Wnt ligands on the complexity of the dendritic tree and axonal polarity were evaluated Cultured primary embryonic hippocampal neurons obtained from Sprague–Dawley rat fetuses (E18), were cultured until day in vitro (DIV) 4 (according to Banker´s protocol) and treated with Wnt-C59 for 24 h, Wnt ligands were added to the cultures on DIV 3 for 24 h. Dendritic arbors and neurites were analysis by fluorescence microscopy. Transfection with Lipofectamine 2000 on DIV 2 of plasmid expressing eGFP and KIF5-Cherry was carried out to evaluate neuronal polarity. Immunostaining was performed with MAP1B and Tau protein. Immunoblot analysis was carried out with Wnt3a, β-catenin and GSK-3β (p-Ser9). Quantitative analysis of dendrite morphology was carried out with ImageJ (NIH) software with Neuron J Plugin. We report, here, that Wnt-C59 treatment changed the morphology of the dendritic arbors and neurites of embryonic hippocampal neurons, with decreases β-catenin and Wnt3a and an apparent increase in GSK-3β (p-Ser9) levels. No effect was observed on axonal polarity. In sister cultures, addition of exogenous Wnt3a, 5a and 7a ligands rescued the changes in neuronal morphology. Wnt3a restored the length of neurites to near that of the control, but Wnt7a increased the neurite length beyond that of the control. Wnt5a also restored the length of neurites relative to Wnt concentrations. Results indicated that Wnt ligands, added exogenously, restored dendritic arbor complexity in embryonic hippocampal neurons, previously treated with a high affinity specific Porcupine inhibitor. We proposed that PORCN is an emerging molecular target of interest in the search for preclinical options to study and treat Wnt-related diseases.     

Assembly of the Non-Canonical Myo9a-RhoGAP and RhoA·GDP Transition State Complex in the Presence of MgF3−

The Protein Journal - Myo9a is an actin-based molecular motor with a RhoGAP domain in its C-terminal tail. It plays a role in a variety of biological processes, such as in regulating the immune...     

Loss of longitudinal superiority marks the microarchitecture deterioration of osteoporotic cancellous bones

Biomechanics and Modeling in Mechanobiology - Osteoporosis (OP), a skeletal disease making bone mechanically deteriorate and easily fracture, is a global public health issue due to its high...     

海拔对青海湖流域群落水平植物功能性状的影响

海拔变化会引起气压、温度、降水、土壤湿度和风速等环境因子发生急剧变化, 植物功能性状-海拔的相互关系对于预测全球变化背景下山地植物的适应方式具有重要意义。该研究在青海湖流域海拔3 400-4 200 m范围内布设了5个样地(海拔间隔约200 m), 通过植物群落调查, 测定植物功能性状和土壤理化性质, 结合气象数据, 探讨了海拔对青海湖流域群落水平植物功能性状的影响。结果如下: (1)群落加权平均植株高度(H)、叶片干物质含量(LDMC)、叶片碳氮比(C:N)和叶片氮磷比(N:P)随海拔升高显著降低, 比根表面积(SRA)随海拔升高波动下降, 比叶面积(SLA)、叶片氮含量(LNC)和叶片磷含量(LPC)随海拔升高显著升高, 叶片碳含量(LCC)、比根长(SRL)和根组织密度(RTD)随海拔未发生显著变化。(2)所有性状的变异来源以物种组成变化为主, N:P和LPC的种内性状变异与物种组成变化呈现正的协变效应, 其余性状为负的协变效应。(3)降水和0- 10 cm土层土壤养分含量对SLA变化的解释率较高, 温度和10-20 cm土层土壤养分含量对其余性状随海拔变化的解释率较高。以上结果表明青海湖流域植物群落主要通过物种更替来适应随海拔升高而剧烈变化的环境, 且各群落中的非优势种倾向于占据与优势种相反的性状空间来提高资源利用率, 随海拔变化的热量和深层土壤养分含量是群落水平植物功能性状变化的主要影响因子。     

Modeling vegetation greenness and its climate sensitivity with deep‐learning technology

Climate sensitivity of vegetation has long been explored using statistical or process‐based models. However, great uncertainties still remain due to the methodologies’ deficiency in capturing the complex interactions between climate and vegetation. Here, we developed global gridded climate–vegetation models based on long short‐term memory (LSTM) network, which is a powerful deep‐learning algorithm for long‐time series modeling, to achieve accurate vegetation monitoring and investigate the complex relationship between climate and vegetation. We selected the normalized difference vegetation index (NDVI) that represents vegetation greenness as model outputs. The climate data (monthly temperature and precipitation) were used as inputs. We trained the networks with data from 1982 to 2003, and the data from 2004 to 2015 were used to validate the models. Error analysis and sensitivity analysis were performed to assess the model errors and investigate the sensitivity of global vegetation to climate change. Results show that models based on deep learning are very effective in simulating and predicting the vegetation greenness dynamics. For models training, the root mean square error (RMSE) is <0.01. Model validation also assure the accuracy of our models. Furthermore, sensitivity analysis of models revealed a spatial pattern of global vegetation to climate, which provides us a new way to investigate the climate sensitivity of vegetation. Our study suggests that it is a good way to integrate deep‐learning method to monitor the vegetation change under global change. In the future, we can explore more complex climatic and ecological systems with deep learning and coupling with certain physical process to better understand the nature.