不同生态型摩西球囊霉菌株对棉花耐盐性的影响

在盆栽条件下研究了4个NaCl水平下(0、1、2和3g／kg)接种丛枝菌根真菌Glomus mosseae的2个菌株M1和M2对棉花耐盐性的影响。M1自非盐渍土壤分离,M2自盐渍土壤分离。结果表明,不同盐水平下2个菌株对棉花根系的侵染率为20％～40％,M2的侵染率高于M1;这两个菌株对棉花在盐胁迫环境下的生长状况都有一定的促进,其中Ml的促进作用明显大于M2的,并且在NaCl水平为2和3g／kg时,两菌株对棉花生长的效应之间的差异达到极显著水平。进一步的分析表明两菌株对植株吸收矿质元素的作用方面存在一定差异。接种M1的植株含磷量在4个盐水平下均显著高于对照,而接种M2处理的植株含磷量只是在0和1g／kg NaCl时显著高于对照。在2和3g／kg NaCl时略低于对照,并显著低于接种M1处理的。在4个NaCl水平下,接种M1的植株钠和氯含量与对照没有显著差异;接种M2的植株氯含量在1～3g／kg 3个NaCl水平下、钠含量在2和3g／kg 2个NaCl水平下不仅显著高于对照,同时也显著高于接种M1的植株氯和钠含量。这些差异是M1和M2两菌株对提高棉花耐盐性作用大小不同的主要原因。上述结果说明不同生态型AM真菌菌株对植物的耐盐性的影响力不同,这与真菌自身的生物学特性有关。     

胶州湾典型河口湿地土壤活性有机碳和酶活性对互花米草入侵的响应

以胶州湾洋河口湿地为研究对象,按照互花米草入侵年份(0、1、5、8年)分层采集土壤样品(0—10、10—20、20—40 cm和40—60 cm),研究土壤活性有机碳(LOC)和酶(脲酶、过氧化氢酶、碱性磷酸酶、蔗糖酶)活性的变化,分析土壤活性有机碳和酶活性及两者相关性对互花米草入侵的响应。结果表明:与光滩相比,互花米草入侵增加了表层土壤LOC含量,且随着入侵时间的延长显著增加(P0.05)。同时也改变了土壤LOC垂直分布规律,除光滩和入侵1年样地表现出沿剖面逐渐上升之外,其他样地表现为沿剖面先上升后下降趋势;互花米草入侵提高了河口湿地土壤酶活性,但并未改变酶活性随深度增加而逐渐降低的分布规律。随着入侵时间的延长4种酶活性变化趋势有所差异,过氧化氢酶和蔗糖酶活性变化趋势一致,表现为随入侵时间延长先急剧增加后逐渐减少,而碱性磷酸酶和脲酶活性随着入侵时间的延长逐渐增加。Pearson相关性分析结果显示,土壤LOC和酶活性呈显著负相关且互花米草入侵时间越长两者间相关性越低,8年后无显著相关性。     

青藏高原东缘半湿润沙地典型生态恢复模式的效果比较研究

草地退化与沙化直接影响草地生态系统的功能与服务,植被恢复是沙地恢复治理的重要方式之一,但是探究沙化草地典型生态恢复模式的恢复效果及模式优化研究不足。以野外调查与室内分析相结合的方法,以重度沙化草地为对照（CK）,比较研究了青藏高原东缘沙地三种典型生态恢复模式（围栏封育（Fencing enclosure,FE）、布设高山柳沙障（Salix cupularis sandy barrier,SCSB）、布设高山柳沙障+种草（Salix cupularis sandy barrier plus planting grasses,SCSBPPG））对草本植物群落和土壤理化性质的影响。结果显示：（1）与CK相比,FE的地上草本盖度、生物量、Margalef丰富度指数和Shannon-Weiner多样性指数分别显著提高了13.54倍、13倍、3.09倍和1.80倍,且SCSBPPG的这些指标分别显著提高了11.24倍、10.50倍、1.05倍和0.83倍（P < 0.05）,而SCSB对以上指标影响均不显著。（2）三种典型生态恢复模式对沙地的土壤容重无显著影响,而三种典型生态恢复模式0-10 cm、10-20 cm和20-30 cm土层土壤含水量变化规律一致（SCSBPPG > FE > SCSB）,且SCSBPPG和FE的0-10 cm土层土壤含水量的增加最明显,分别为244.90%、176.92%（P < 0.05）,而SCSB土壤含水量相较于CK无显著差异。（3）该研究区的pH在5.74-6.21之间,FE和SCSBPPG较CK显著降低了0-30 cm各土层土壤pH（P < 0.05）。此外,三种生态恢复模式0-30 cm各土层土壤有机质、全N、全P、全K含量递减变化规律为FE > SCSBPPG > SCSB,FE和SCSBPPG各土层土壤有机质、全N、全P均高于CK,且都在土层10-20 cm增幅最大,FE的最大增幅分别为243.62%、93.94%、68.97%,SCSBPPG的最大增幅分别为118.46%、45.45%、41.38%,而SCSB显著降低了各土层土壤有机质、全N和全P量（P < 0.05）。因此,在青藏高原高寒轻度沙化草地围栏封育有利于其恢复,而重度沙化草地的生态恢复需采用植灌和种草结合的模式。研究结果可为沙地的恢复治理和可持续管理提供依据。     

Identification,Design and Bio-Evaluation of Novel Hsp90 Inhibitors by Ligand-Based Virtual Screening

Heat shock protein 90 (Hsp90), whose inhibitors have shown promising activity in clinical trials, is an attractive anticancer target. In this work, we first explored the significant pharmacophore features needed for Hsp90 inhibitors by generating a 3D-QSAR pharmacophore model. It was then used to virtually screen the SPECS databases, identifying 17 hits. Compound S1 and S13 exhibited the most potent inhibitory activity against Hsp90, with IC₅₀ value 1.61±0.28 μM and 2.83±0.67 μM, respectively. Binding patterns analysis of the two compounds with Hsp90 revealed reasonable interaction modes. Further evaluation showed that the compounds exhibited good anti-proliferative effects against a series of cancer cell lines with high expression level of Hsp90. Meanwhile, S13 induced cell apoptosis in a dose-dependent manner in different cell lines. Based on the consideration of binding affinities, physicochemical properties and toxicities, 24 derivatives of S13 were designed, leading to the more promising compound S40, which deserves further optimization.     

The role of SIRT2 in vascular-related and heart-related diseases: A review

At present, cardiovascular disease is one of the important factors of human death, and there are many kinds of proteins involved. Sirtuins family proteins are involved in various physiological and pathological activities of the human body. Among them, there are more and more studies on the relationship between sirtuin2 (SIRT2) protein and cardiovascular diseases. SIRT2 can effectively inhibit pathological cardiac hypertrophy. The effect of SIRT2 on ischaemia-reperfusion injury has different effects under different conditions. SIRT2 can reduce the level of reactive oxygen species (ROS), which may help to reduce the severity of diabetic cardiomyopathy. SIRT2 can affect a variety of cardiovascular diseases, energy metabolism and the ageing of cardiomyocytes, thereby affecting heart failure. SIRT2 also plays an important role in vascular disease. For endothelial cell damage used by oxidative stress, the role of SIRT2 is bidirectional, which is related to the degree of oxidative stress stimulation. When the degree of stimulation is small, SIRT2 plays a protective role, and when the degree of stimulation increases to a certain level, SIRT2 plays a negative role. In addition, SIRT2 is also involved in the remodelling of blood vessels and the repair of skin damage.     

Identification of cancer hallmark‐associated gene and lncRNA cooperative regulation pairs and dictate lncRNA roles in oral squamous cell carcinoma

Oral squamous cell carcinoma (OSCC) is the most common malignant tumour in the oral and maxillofacial region. Numerous cancers share ten common traits (“hallmarks”) that govern the transformation of normal cells into cancer cells. Long non‐coding RNAs (lncRNAs) are important factors that contribute to tumorigenesis. However, very little is known about the cooperative relationships between lncRNAs and cancer hallmark‐associated genes in OSCC. Through integrative analysis of cancer hallmarks, somatic mutations, copy number variants (CNVs) and expression, some OSCC‐specific cancer hallmark‐associated genes and lncRNAs are identified. A computational framework to identify gene and lncRNA cooperative regulation pairs (GLCRPs) associated with different cancer hallmarks is developed based on the co‐expression and co‐occurrence of mutations. The distinct and common features of ten cancer hallmarks based on GLCRPs are characterized in OSCC. Cancer hallmark insensitivity to antigrowth signals and self‐sufficiency in growth signals are shared by most GLCRPs in OSCC. Some key GLCRPs participate in many cancer hallmarks in OSCC. Cancer hallmark‐associated GLCRP networks have complex patterns and specific functions in OSCC. Specially, some key GLCRPs are associated with the prognosis of OSCC patients. In summary, we generate a comprehensive landscape of cancer hallmark‐associated GLCRPs that can act as a starting point for future functional explorations, the identification of biomarkers and lncRNA‐based targeted therapy in OSCC.     

LNRLMI: Linear neighbour representation for predicting lncRNA‐miRNA interactions

LncRNA and miRNA are key molecules in mechanism of competing endogenous RNAs(ceRNA), and their interactions have been discovered with important roles in gene regulation. As supplementary to the identification of lncRNA‐miRNA interactions from CLIP‐seq experiments, in silico prediction can select the most potential candidates for experimental validation. Although developing computational tool for predicting lncRNA‐miRNA interaction is of great importance for deciphering the ceRNA mechanism, little effort has been made towards this direction. In this paper, we propose an approach based on linear neighbour representation to predict lncRNA‐miRNA interactions (LNRLMI). Specifically, we first constructed a bipartite network by combining the known interaction network and similarities based on expression profiles of lncRNAs and miRNAs. Based on such a data integration, linear neighbour representation method was introduced to construct a prediction model. To evaluate the prediction performance of the proposed model, k‐fold cross validations were implemented. As a result, LNRLMI yielded the average AUCs of 0.8475 ± 0.0032, 0.8960 ± 0.0015 and 0.9069 ± 0.0014 on 2‐fold, 5‐fold and 10‐fold cross validation, respectively. A series of comparison experiments with other methods were also conducted, and the results showed that our method was feasible and effective to predict lncRNA‐miRNA interactions via a combination of different types of useful side information. It is anticipated that LNRLMI could be a useful tool for predicting non‐coding RNA regulation network that lncRNA and miRNA are involved in.