高速逆流色谱法制备灵芝萜烯酮醇

本研究建立一种从灵芝子实体提取物中快速制备灵芝萜烯酮醇的方法.以沪农灵芝1号子实体为原料,经乙醇提取、D101大孔树脂富集后,再经一次正相色谱柱层析,获得富含灵芝萜烯酮醇的流分.采用高速逆流色谱法对该流分进行分离,优化分离条件,获得的最佳条件为:溶剂体系为正己烷-乙酸乙酯-甲醇-水(V/V/V/V,12∶24∶18∶9...     

呼包鄂榆城市群生态系统服务价值驱动因素及其交互效应

增强呼包鄂榆城市群生态系统服务功能,对于推动黄河流域生态保护和高质量发展具有重要意义。基于研究区1990-2020年土地利用类型评价了生态系统服务价值(ESV),耦合随机森林模型与沙普利加性解释(SHAP)方法分析ESV驱动因素的重要程度、变化响应特征及其交互效应,采用偏最小二乘路径模型识别驱动因素的交互路径。结果表明:(1)研究期内耕地、草地和水域面积整体呈先增后减趋势,建设用地面积持续增加;ESV呈先减后增趋势且总体增加了62.28亿元,ESV的增长主要是林地向耕地和草地扩张的结果。(2)最主要的ESV驱动因素为土地利用类型,其贡献度达到61.24%,其次是地形和气象,贡献度分别为17.59%和17.05%,社会经济的贡献度最低,仅为1.73%;ESV对驱动因素的响应呈非线性变化特征。(3)水域比例是最重要的交互项,交互作用在因素处于不同范围内表现出不同的交互效应。土地利用直接影响ESV,而地形、气象、土壤和社会经济因素主要通过影响土地利用进而间接影响ESV,社会经济因素对ESV的直接和间接影响分别是负和正效应。研究建议通过完善城市群国土空间规划,重点加强草地、林地和水域等生态空间保护并协调好与城镇建设、矿产资源开发的关系,以提升生态系统服务功能为导向实施区域生态系统多因素协同管控。     

中国省域旅游业碳中和时空分异与模拟

旅游业碳中和的实现对于旅游业的绿色高质量发展和可持续发展至关重要。基于全国尺度以30个省份为分析单元,在承接团队前期关于旅游业碳达峰研究成果的基础上,借助土地利用数据、碳吸收系数和灰色预测模型分别测算与模拟了近20年和未来40年各省旅游业碳汇,通过旅游业碳中和指数反映旅游业碳排放和旅游业碳汇之间的动态变化,并利用空间自相关探索旅游业碳中和指数的时空差异。结果表明：（1）未来40年,我国省域旅游业碳汇总体呈现出"南北高,中间低"的空间分布特征,大多数省份的旅游业碳汇不断增长。东北部地区和长江流域以南各地区的旅游业碳汇较为富余,华东地区的山东、江苏和上海等省份的旅游业碳汇则相对匮乏。（2）不同情景中,低碳情景下的旅游业碳中和实现情况最好,有云南、四川和青海等7个省份在2060年之前实现了旅游业碳中和,而中等情景和基准情景下均仅有黑龙江和云南2个省份能够如期或提前实现。其中,西部和北部沿边省份的旅游业碳中和实现情况都要优于其它地区。（3）各省旅游业碳中和指数在未来40年的等级分区大致呈现出从Ⅰ级区逐步向Ⅴ级区转变的趋势,我国总体旅游业碳赤字率由2030年的96.67%逐渐降至2060年的76.67%。（4）未来40年,我国省域旅游业碳中和指数在空间上总体处于集聚态势,热点和冷点的空间分布特征较为明显,且演化趋势较为稳定。其中,热点区和次热点区主要分布在西北、西南、华南和东北地区,冷点区和次冷点区集中分布在华北、华中和华东地区。研究有效探讨了旅游业碳中和研究的理论与范式,并为中国旅游业碳中和的实现提供了一定的现实参考。     

基于水供需服务流及外溢价值核算的太湖流域横向生态补偿机制

通过生态补偿协调流域内经济发展与生态保护的关系、缓解上下游利益相关者之间的矛盾是保障流域经济社会可持续发展的关键措施,而流域生态补偿核定的关键在于两点:一是如何模拟并量化水供需服务流动的流向、流量、流速及路径以明确供需双方及其空间关系;二是如何实现栅格尺度-地理单元-行政单元的尺度推演以实现不同行政单元之间生态系统服务的盈余、占用、外溢核算。整合卫星遥感、经济社会统计、水文气象观测等多源异构数据,集成水量平衡、水供需服务流动、生态价值核算等方法,构建了基于水供需流动及其外溢价值核算的流域横向生态补偿标准核定框架,利用D8流向法解决了水供需服务流动的流向、流量、流速及路径模拟与量化,实现了"栅格尺度-地形单元-行政单元"空间尺度推演的外溢价值核算,形成了流域内横向水生态补偿资金收取与分配方案。以太湖流域为例,在全面分析水资源外溢、占用及其价值的基础上,解析了县域尺度的水供需时空关系、流动路径及属性特征,辅以水质指标进而明确界定了责任方与补偿对象,形成了补偿资金收取与分配方案。结果表明,太湖流域水供需双方界线清晰、服务流近似于自然汇流过程,供给方以流域西部、西南部、中部县域为主,特别是西部至中部的县域,应受偿资金较多,平均各县应受偿资金比例超过2%/a,应受偿资金最多的嘉善区,比例超过19.66%/a;需求方聚集于流域中部、东部,特别是黄浦江自然汇流沿岸县域,应收取补偿资金较多,平均各县应收取资金比例超过5%/a,应收取最多的浦东新区,比例超过15.48%/a;净补偿资金基本呈现西高东低的分布特征,流域的大部分城市核心区的县域净补偿资金为负值。研究的核定框架、量化核算方法、资金统筹方案可应用到其他流域的横向生态补偿机制构建,实现流域内部与流域之间生态保护和经济发展的整体协调。     

南亚热带常绿阔叶林5种壳斗科植物碳氮磷化学计量特征

壳斗科(Fagaceae)植物是南亚热带常绿阔叶最重要的组成之一,研究其不同树种和器官间碳(C)、氮(N)、磷(P)含量及计量学特征,对于理解和预测树木生态功能的发挥至关重要。以阴那山省级自然保护区同一森林群落中5种壳斗科植物为研究对象,探讨不同树种及器官间C、N、P含量、化学计量及其相关关系特征。结果表明:(1)器官、树种对植物C、N、P含量及化学计量比均会产生一定影响,二者交互作用显著(除C含量),限制程度为器官>树种。(2)从含量上看,5种壳斗科植物凋落物N普遍高于茎、根,而凋落物P则普遍低于茎、根,幼苗叶片N、P含量均低于成熟乔木叶片;黧蒴锥(Castanopsis fissa)根N、N ∶ P高于其他树种,而根P则低于其他树种。(3)从种间变异系数上看,根系N、C ∶ N、N ∶ P变异系数显著高于其他器官;从器官间变异系数上看,黧蒴锥N、C ∶ N变异系数显著低于其他树种。(4)从树种间和器官间的养分相关关系上看,5种植物绝大部分器官元素间两两相关关系不显著,表明单一器官的养分计量关系不能直接反映其他器官或整树水平的计量关系;器官间C和N、C和P相关关系因树种而异,但N和P关系各树种高度一致。综上,从器官上看,根系N含量、C ∶ N、N ∶ P的种间变异系数最大,可能是不同树种对N、P的吸收存在差异,从而有利于物种共存。从树种上看,黧蒴锥具有更合理的养分分配模式,有利于在群落竞争中保持优势地位。     

中国禾本科植物内生真菌研究4.Epichlo(e) yangzii的人工杂交

作者首先研究Epichloe yangzii植株上的人工杂交,明确了供试菌株的交配型.然后将分离自无子座鹅观草属植物的23株"Neotvphodium属"真菌孢子分别与E.yangzii的子座杂交,其中发现有21株与E yangzii(mat-1,mat-2)杂交不亲和,有2株与E yangzii(mat-1)杂交亲和.利用tubB基因片段对8株"Neotyphodium属"真菌菌株进行系统发育分析,结果表明与E yangzii杂交亲和的2个菌株和E.yangzii聚为一枝,而其它6个菌株形成独立的分枝,进一步证实了这2个菌株足有时在宿主植物上不形成子座的Eyangzii.这说明了在宿主植物上的人工杂交是区别有时不产子座的E yangzii和Neotyphodium属真菌的有效手段.     

Long noncoding RNA lncMREF promotes myogenic differentiation and muscle regeneration by interacting with the Smarca5/p300 complex

Long noncoding RNAs (lncRNAs) play important roles in the spatial and temporal regulation of muscle development and regeneration. Nevertheless, the determination of their biological functions and mechanisms underlying muscle regeneration remains challenging. Here, we identified a lncRNA named lncMREF (lncRNA muscle regeneration enhancement factor) as a conserved positive regulator of muscle regeneration among mice, pigs and humans. Functional studies demonstrated that lncMREF, which is mainly expressed in differentiated muscle satellite cells, promotes myogenic differentiation and muscle regeneration. Mechanistically, lncMREF interacts with Smarca5 to promote chromatin accessibility when muscle satellite cells are activated and start to differentiate, thereby facilitating genomic binding of p300/CBP/H3K27ac to upregulate the expression of myogenic regulators, such as MyoD and cell differentiation. Our results unravel a novel temporal-specific epigenetic regulation during muscle regeneration and reveal that lncMREF/Smarca5-mediated epigenetic programming is responsible for muscle cell differentiation, which provides new insights into the regulatory mechanism of muscle regeneration.     

DNASE1L3 inhibits proliferation,invasion and metastasis of hepatocellular carcinoma by interacting with β‐catenin to promote its ubiquitin degradation pathway

As a member of the deoxyribonuclease 1 family, DNASE1L3 plays a significant role both inside and outside the cell. However, the role of DNASE1L3 in hepatocellular carcinoma (HCC) and its molecular basis remains to be further investigated. In this study, we report that DNASE1L3 is downregulated in clinical HCC samples and evaluate the relationship between its expression and HCC clinical features. In vivo and in vitro experiments showed that DNASE1L3 negatively regulates the proliferation, invasion and metastasis of HCC cells. Mechanistic studies showed that DNASE1L3 recruits components of the cytoplasmic β‐catenin destruction complex (GSK‐3β and Axin), promotes the ubiquitination degradation of β‐catenin, and inhibits its nuclear transfer, thus, decreasing c‐Myc, P21 and P27 level. Ultimately, cell cycle and EMT signals are restrained. In general, this study provides new insight into the mechanism for HCC and suggests that DNASE1L3 can become a considerable target for HCC.

Decreased expression of DNASE1L3 is associated with poor prognosis in patients with HCC DNASE1L3 inhibits the proliferation and cell cycle of HCC cells in vitro and promotes the invasion and metastasis of HCC cells DNASE1L3 inhibits the tumorigenicity and metastasis of HCC cells in vivo DNASE1L3 interacts with β‐catenin and promotes its binding to the β‐catenin destroying complex DNASE1L3 interacts with P21 and stabilizes P21 by mediating the deubiquitin activity     

A multi-label learning model for predicting drug-induced pathology in multi-organ based on toxicogenomics data

Drug-induced toxicity damages the health and is one of the key factors causing drug withdrawal from the market. It is of great significance to identify drug-induced target-organ toxicity, especially the detailed pathological findings, which are crucial for toxicity assessment, in the early stage of drug development process. A large variety of studies have devoted to identify drug toxicity. However, most of them are limited to single organ or only binary toxicity. Here we proposed a novel multi-label learning model named Att-RethinkNet, for predicting drug-induced pathological findings targeted on liver and kidney based on toxicogenomics data. The Att-RethinkNet is equipped with a memory structure and can effectively use the label association information. Besides, attention mechanism is embedded to focus on the important features and obtain better feature presentation. Our Att-RethinkNet is applicable in multiple organs and takes account the compound type, dose, and administration time, so it is more comprehensive and generalized. And more importantly, it predicts multiple pathological findings at the same time, instead of predicting each pathology separately as the previous model did. To demonstrate the effectiveness of the proposed model, we compared the proposed method with a series of state-of-the-arts methods. Our model shows competitive performance and can predict potential hepatotoxicity and nephrotoxicity in a more accurate and reliable way. The implementation of the proposed method is available at https://github.com/RanSuLab/Drug-Toxicity-Prediction-MultiLabel.