北极苔原土壤中可培养细菌的分离及其抗菌活性测定

【目的】北极地区具有高纬度、低温、高辐射等独特的环境条件。北冰洋及周围大面积的陆地区域鲜有人类踪迹,其中微生物数量不可低估。本研究旨在了解北极土壤中的可培养微生物的多样性及其抗菌活性。【方法】对来源于北极黄河站附近的7份不同植物根下苔原土壤进行直接涂布和富集培养后涂布。【结果】共获得细菌菌株721株,对其中608株进行细菌16S rRNA基因序列测定,归属于86个属,229个种,主要分布于变形菌门(Proteobacteria,54.3%)、放线菌门(Actinobacteria,21.2%)、拟杆菌门(Bacteroidetes,12.8%)、厚壁菌门(Firmicutes,10.0%)和奇异球菌门(Deinococcus-Thermus,1.6%)。其中从16S rRNA基因序列同源性推测有22株细菌菌株为潜在新种/属。从分离菌株中筛选出16株可抑制金黄色葡萄球菌(Staphylococcusaureus)或鲍氏不动杆菌(Acinetobacterbaumannii)生长的拮抗菌。【结论】获得了北极土壤地区特有的微生物菌株资源,为进一步筛选拮抗菌的活性物质提供了菌株基础。     

Theoretical Insights into Catalytic Mechanism of Protein Arginine Methyltransferase 1

Protein arginine methyltransferase 1 (PRMT1), the major arginine asymmetric dimethylation enzyme in mammals, is emerging as a potential drug target for cancer and cardiovascular disease. Understanding the catalytic mechanism of PRMT1 will facilitate inhibitor design. However, detailed mechanisms of the methyl transfer process and substrate deprotonation of PRMT1 remain unclear. In this study, we present a theoretical study on PRMT1 catalyzed arginine dimethylation by employing molecular dynamics (MD) simulation and quantum mechanics/molecular mechanics (QM/MM) calculation. Ternary complex models, composed of PRMT1, peptide substrate, and S-adenosyl-methionine (AdoMet) as cofactor, were constructed and verified by 30-ns MD simulation. The snapshots selected from the MD trajectory were applied for the QM/MM calculation. The typical S_N2-favored transition states of the first and second methyl transfers were identified from the potential energy profile. Deprotonation of substrate arginine occurs immediately after methyl transfer, and the carboxylate group of E144 acts as proton acceptor. Furthermore, natural bond orbital analysis and electrostatic potential calculation showed that E144 facilitates the charge redistribution during the reaction and reduces the energy barrier. In this study, we propose the detailed mechanism of PRMT1-catalyzed asymmetric dimethylation, which increases insight on the small-molecule effectors design, and enables further investigations into the physiological function of this family.     

Chromosome-level genome assembly of a triploid poplar Populus alba ‘Berolinensis’

Many recent studies have provided significant insights into polyploid breeding, but limited research has been carried out on trees. The genomic information needed to understand growth and response to abiotic stress in polyploidy trees is largely unknown, but has become critical due to the threats to forests imposed by climate change. Populus alba ‘Berolinensis,’ also known “Yinzhong poplar,” is a triploid poplar from northeast China. This hybrid triploid poplar is widely used as a landscape ornamental and in urban forestry owing to its adaptation to adverse environments and faster growth than its parental diploid. It is an artificially synthesized male allotriploid hybrid, with three haploid genomes of P. alba ‘Berolinensis’ originating from different poplar species, so it is attractive for studying polyploidy genomic mechanisms in heterosis. In this study, we focused on the allelic genomic interactions in P. alba ‘Berolinensis,’ and generated a high-quality chromosome-level genome assembly consisting of 19 allelic chromosomes. Its three haploid chromosome sets are polymorphic with an average of 25.73 nucleotide polymorphism sites per kilobase. We found that some stress-related genes such as RD22 and LEA7 exhibited sequence differences between different haploid genomes. The genome assembly has been deposited in our polyploid genome online analysis website TreeGenomes ( https://www.treegenomes.com ). These polyploid genome-related resources will provide a critical foundation for the molecular breeding of P. alba ‘Berolinensis’ and help us uncover the allopolyploidization effects of heterosis and abiotic stress resistance and traits of polyploidy species in the future.     

Comparative genomic analysis of head and body/tail of pancreatic ductal adenocarcinoma at early and late stages

Pancreatic ductal adenocarcinoma (PDAC), one of the most lethal human cancers, can be divided into head and body/tail cancers anatomically. We previously reported a prognostic relevance of tumour location in resectable PDAC. This study aimed to further explore the mechanism underlying the molecular diversity between the head and body/tail of PDACs. We detected tumour genomes in 154 resectable (surgery) and non-resectable (biopsy) PDACs using a next-generation sequencing panel. Wilcoxon's rank test or Fisher's exact test was used for evaluating associations between clinical characteristics, mutation frequency and survival probability between the two cohorts. Compared with pancreatic head cancers, pancreatic body/tail cancers showed significantly more enriched genomic alterations in KRAS (97.1% vs 82.4%, P = 0.004) and SMAD4 (42.0% vs 21.2%, P = 0.008). At early stages (I-II), the SMAD4 mutation rate was significantly higher in pancreatic body/tail cancers than pancreatic head cancers (56.0% vs 26.5%, P = 0.021). At late stages (III-IV), pancreatic body/tail cancers presented significantly higher KRAS mutation rate (100.0% vs 75.8%, P = 0.001), higher frequency of MAPK pathway mutation (100% vs 87.8%, P = 0.040) and lower rates of druggable genomic alterations (30.8% vs 57.6%, P = 0.030) than pancreatic head cancers. Our work points out that pancreatic body/tail cancer seems to be more malignant than pancreatic head cancer at late stages.     

Tumor Cell Identification in Ki-67 Images on Deep Learning

The proportion of cells staining for the nuclear antigen Ki-67 is an important predictive indicator for assessment of tumor cell proliferation and growth in routine pathological investigation. Instead of traditional scoring methods based on the experience of a trained laboratory scientist, deep learning approach can be automatically used to analyze the expression of Ki-67 as well. Deep learning based on convolutional neural networks (CNN) for image classification and single shot multibox detector (SSD) for object detection are used to investigate the expression of Ki-67 for assessment of biopsies from patients with breast cancer in this study. The results focus on estimating the probability heatmap of tumor cells using CNN with accuracy of 98% and detecting the tumor cells using SSD with accuracy of 90%. This deep learning framework will provide an objective basis for the malignant degree of breast tumors and be beneficial to the pathologists for fast and efficiently Ki-67 scoring.     

Fine-scale estimation of effective reproduction numbers for dengue surveillance

The effective reproduction number R_t is an epidemiological quantity that provides an instantaneous measure of transmission potential of an infectious disease. While dengue is an increasingly important vector-borne disease, few have used R_t as a measure to inform public health operations and policy for dengue. This study demonstrates the utility of R_t for real time dengue surveillance. Using nationally representative, geo-located dengue case data from Singapore over 2010–2020, we estimated R_t by modifying methods from Bayesian (EpiEstim) and filtering (EpiFilter) approaches, at both the national and local levels. We conducted model assessment of R_t from each proposed method and determined exogenous temporal and spatial drivers for R_t in relation to a wide range of environmental and anthropogenic factors. At the national level, both methods achieved satisfactory model performance (R²_EpiEstim = 0.95, R²_EpiFilter = 0.97), but disparities in performance were large at finer spatial scales when case counts are low (MASE _EpiEstim = 1.23, MASE_EpiFilter = 0.59). Impervious surfaces and vegetation with structure dominated by human management (without tree canopy) were positively associated with increased transmission intensity. Vegetation with structure dominated by human management (with tree canopy), on the other hand, was associated with lower dengue transmission intensity. We showed that dengue outbreaks were preceded by sustained periods of high transmissibility, demonstrating the potential of R_t as a dengue surveillance tool for detecting large rises in dengue cases. Real time estimation of R_t at the fine scale can assist public health agencies in identifying high transmission risk areas and facilitating localised outbreak preparedness and response.     

寒温带兴安落叶松林凋落物层对土壤呼吸的影响

为了进一步探讨土壤凋落物层对土壤呼吸的影响,用Li-6400对大兴安岭北部3种林型(白桦-落叶松林、樟子松-落叶松林和落叶松纯林)自然状态的土壤呼吸(R_S)、去凋落物后的土壤呼吸(R_D)以及凋落物呼吸(R_L)进行测定,结果表明:凋落物层的去除会使土壤呼吸速率降低,3种林型观测期内平均R_S分别为7.32μmol m^-2 s^-1、8.55μmol m^-2 s^-1和6.66μmol m^-2 s^-1,平均R_D分别为6.46μmol m^-2 s^-1、7.98μmol m^-2 s^-1和5.74μmol m^-2 s^-1。但去除凋落物后的土壤总呼吸速率较自然状态下分别升高了13.85%、16.21%和13.73%;凋落物的去除并不影响...     

Helix Unfolding/Refolding Characterizes the Functional Dynamics of Staphylococcus aureus Clp Protease

The ATP-dependent Clp protease (ClpP) plays an essential role not only in the control of protein quality but also in the regulation of bacterial pathogen virulence, making it an attractive target for antibacterial treatment. We have previously determined the crystal structures of Staphylococcus aureus ClpP (SaClpP) in two different states, extended and compressed. To investigate the dynamic switching of ClpP between these states, we performed a series of molecular dynamics simulations. During the structural transition, the long and straight helix E in the extended SaClpP monomer underwent an unfolding/refolding process, resulting in a kinked helix very similar to that in the compressed monomer. As a stable intermediate in the molecular dynamics simulation, the compact state was suggested and subsequently identified in x-ray crystallographic experiment. Our combined studies also determined that Ala¹⁴⁰ acted as a “hinge” during the transition between the extended and compressed states, and Glu¹³⁷ was essential for stabilizing the compressed state. Overall, this study provides molecular insights into the dynamics and mechanism of the functional conformation changes of SaClpP. Given the highly conserved sequences of ClpP proteins among different species, these findings potentially reflect a switching mechanism for the dynamic process shared in the whole ClpP family in general and thus aid in better understand the principles of Clp protease assembly and function.