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。     

斑马鱼急性无机砷暴露后肝脏差异表达基因的生物信息学分析

砷是一种致癌物,是心血管、外周血管疾病、神经疾病、糖尿病和各种癌症的致病因素。目的:利用GO数据库和KEGG数据库等生物信息学方法对GEO数据库数据中的差异表达基因进行评价。利用生物信息学分析软件对差异基因进行功能富集、功能注释分析和生存分析。利用Cytoscape上的蛋白-蛋白相互作用网络(Protein-protein interaction network, PPI)软件对179个差异基因进行筛选和分析。结果发现126个基因作用于蛋白靶点,其中有10个基因为关键基因分别为:PSMB3、HSP701、HSPE1、STIP1、HSPD1、HSP70、DNAJB1B、HSP90AA1.1、HSPA9H和TCP1。核心基因主要作用于内质网中的蛋白质加工通路。这可能会为砷对肝脏损伤的潜在生物标志物和生物学机制提供新的思路。     

大(狂鸟)和长耳鸮的部分血液生理生化指标及血细胞的显微结构观察

为了解大（狂鸟）（Buteohemilasius）、长耳鸮（Asiootus）的血象、血液生理生化参数正常值及血细胞的形态特征,为其健康检测和保护提供参考资料,采用纽巴氏法、沙利氏比色法、离心法、瑞士染色等方法检测了大（狂鸟）和长耳鸮的血象,利用全自动血液生物化学分析仪测定了两种鸟的19项血液生化指标,利用生物显微技术对其血细胞进行观察。结果表明：大（狂鸟）的红细胞数量、红细胞压积、红细胞分布宽度、血红蛋白含量、平均血红蛋白浓度、嗜酸性粒细胞数量、淋巴细胞数量、白细胞数量及凝血细胞数量均高于长耳鸮,而其他指标均低于长耳鸮;其中,红细胞平均体积在两种鸟类间存在极显著性差异（P〈0.01）,其他均无显著性差异（P〉0.05）。在生理生化检测中,大（狂鸟）的谷草转氨酶、总蛋白含量、白蛋白含量、球蛋白含量、总胆固醇、甘油三酯和葡萄糖含量均高于长耳鸮,且大（狂鸟）的无机离子中的钠和氯离子浓度也高于长耳鸮,而其他指标均低于长耳鸮,其中谷丙转氨酶和肌酐具有极显著性差异（P〈0.01）,尿酸和葡萄糖具有显著性差异（P〈0.05）,其他指标均无显著性差异（P〉0.05）。大（狂鸟）和长耳鸮的血细胞形态相似。种属不同及生活习性的差异可能是导致这两种鸟类血液生理常值差别及显微结构差异的主要原因,而采样时的机体状况、营养状况及测试操作方法也有一定的影响。     

MicroRNA and mRNA expression profiling in metastatic melanoma reveal associations with BRAF mutation and patient prognosis

The role of microRNAs (miRNAs) in melanoma is unclear. We examined global miRNA expression profiles in fresh‐frozen metastatic melanomas in relation to clinical outcome and BRAF mutation, with validation in independent cohorts of tumours and sera. We integrated miRNA and mRNA information from the same samples and elucidated networks associated with outcome and mutation. Associations with prognosis were replicated for miR‐150‐5p, miR‐142‐3p and miR‐142‐5p. Co‐analysis of miRNA and mRNA uncovered a network associated with poor prognosis (PP) that paradoxically favoured expression of miRNAs opposing tumorigenesis. These miRNAs are likely part of an autoregulatory response to oncogenic drivers, rather than drivers themselves. Robust association of miR‐150‐5p and the miR‐142 duplex with good prognosis and earlier stage metastatic melanoma supports their potential as biomarkers. miRNAs overexpressed in association with PP in an autoregulatory fashion will not be suitable therapeutic targets.     

城市森林结构的量化研究——以沈阳树木园森林群落为例

采用遥感图像判读和野外调查相结合的方法,定量分析了沈阳树木园植物群落的物种结构及空间格局。结果表明,沈阳树木园植被的生长状况良好;物种丰富,其中黄蘖(Phellodendron amugense)、刺槐(Robinia pseudoacacia)、榆树(Ulmus pumila)在树木株数和相对优势度上均占优势,为群落的主林木;植被在高度和胸径上的分布均表现为具有向上发展的潜力,整个植被群落正处于一个快速的生长期,属于发挥生态效益的最佳时期,沈阳树木园的树种多度与基于叶面积的相对优势度之间无明显关联,数量上占优势的树种,其相对优势度不一定很高,沈阳树木园植被树木株数与不同树高等级间的分布关系表现为上凸的曲线,随着树木高度级的增加,树木株数开始分布比较平稳,当高度超过12m后,树木株数明显减少,曲线急骤下降,树木株数分布与不同胸径等级间的关系也呈现类似的情况。     

Decoupling Analysis of Four Selected Countries

We examine decoupling conditions of domestic extraction of materials, energy use, and sulfur dioxide (SO₂) emissions from gross domestic product (GDP) for two BRIC (Brazil, Russia, India and China) countries (i.e., China and Russia) and two Organisation for Economic Co‐operation and Development (OECD) countries (Japan and the United States) during 2000–2007, using a pair of decoupling indicators for resource use (D_r) and waste emissions (D_e) and the decoupling chart, which can distinguish between absolute decoupling, relative decoupling, and non‐decoupling. We find that (1) during 2000–2007, decoupling between environmental indicators and GDP was higher in the two OECD countries as compared with the two BRIC countries. The key reason is that these countries were in different development stages with different economic growth rates. (2) Changes in environmental policies can significantly influence the degree of decoupling in a country. (3) China, Japan, and the United States were more successful in decoupling SO₂ emissions from GDP than in decoupling material and energy use from GDP. The main reason is that, unlike resource use, waste emissions (e.g., SO₂ emissions) can be reduced by effective end‐of‐pipe treatment. (4) The decoupling indicator is different from the changing rate of resource use and waste emissions. If two countries have different GDP growth rates, even though they may have similar values using the decoupling indicator, they may show different rates of change for resource use and waste emissions.