硫腺苷甲硫氨酸合成酶基因的克隆及其在盐胁迫条件下的不同表达

硫腺苷甲硫氨酸作为甲基供体在转甲基反应中起到重要作用.为了解硫腺苷甲硫氨酸在盐地碱蓬(Suaedasalsa (L.)Pall)耐盐中的作用,我们对可能编码硫腺苷甲硫氨酸合成酶的基因(SsSAMS2)进行了分析.该基因在经400 mmol/L NaCl处理的盐地碱蓬地上部分的λ-Zap cDNA文库中克隆到,其插入片段全长1 531 bp,包含一个395个氨基酸的开放阅读框架,该基因推断的分子量约为43 kD.SsSAMS2与长春花(Catharanthus roseus)的SAMS2在氨基酸水平上的一致性为93%.Southern杂交显示,SsSAMS2在盐地碱蓬基因组中可能是两个拷贝.Northern分析显示硫腺苷甲硫氨酸合成酶基因受NaCl等胁迫的正调控.酶活性检测表明,NaCl胁迫条件下该酶活性增强.     

Spatio-temporal changes in biomass carbon sinks in China’s forests from 1977 to 2008

Forests play a leading role in regional and global carbon (C) cycles. Detailed assessment of the temporal and spatial changes in C sinks/sources of China’s forests is critical to the estimation of the national C budget and can help to constitute sustainable forest management policies for climate change. In this study, we explored the spatio-temporal changes in forest biomass C stocks in China between 1977 and 2008, using six periods of the national forest inventory data. According to the definition of the forest inventory, China’s forest was categorized into three groups: forest stand, economic forest, and bamboo forest. We estimated forest biomass C stocks for each inventory period by using continuous biomass expansion factor (BEF) method for forest stands, and the mean biomass density method for economic and bamboo forests. As a result, China’s forests have accumulated biomass C (i.e., biomass C sink) of 1896 Tg (1 Tg=10¹² g) during the study period, with 1710, 108 and 78 Tg C in forest stands, and economic and bamboo forests, respectively. Annual forest biomass C sink was 70.2 Tg C a^?1, offsetting 7.8% of the contemporary fossil CO₂ emissions in the country. The results also showed that planted forests have functioned as a persistent C sink, sequestrating 818 Tg C and accounting for 47.8% of total C sink in forest stands, and that the old-, mid- and young-aged forests have sequestrated 930, 391 and 388 Tg C from 1977 to 2008. Our results suggest that China’s forests have a big potential as biomass C sink in the future because of its large area of planted forests with young-aged growth and low C density.     

不同干扰对黄土区典型草原物种多样性和生物量的影响

对黄土区典型草原进行封育+施肥(EF)、封育+火烧(EB)、封育(E)和放牧(G)处理,实地调查分析群落盖度、高度、密度、地上现存量和物种多样性,以研究不同干扰对黄土区典型草原群落物种多样性和生物量的影响.结果表明:在4种干扰类型中,施肥+封育草地群落盖度和地上生物量最高,且优势度指数最高,这与禾本科草占优势地位有关,群落均匀度指数和多样性指数最低,符合“生态位理论”;放牧地群落高度、盖度、密度和地上现存量最低,群落丰富度指数和多样性指数最高,支持“中度干扰理论”;封育地密度和均匀度指数最高;具体表现为:4种干扰类型地上生物量的变化趋势为封育+施肥＞封育+火烧＞封育＞放牧;说明长时间的封育对草地是一种严重干扰.群落丰富度指数(R和Ma)的排列顺序为放牧＞封育+施肥＞封育+火烧＞封育,群落物种多样性指数(H'和D)的排列顺序为放牧＞封育＞封育+火烧＞封育+施肥,优势度指数与多样性指数相反,群落均匀度指数(Jsw和Ea)的排列顺序为封育＞放牧＞封育+火烧＞封育+施肥.不同干扰样地群落生产力与Shannon-Wiener和Simpson 多样性指数间呈负相关关系,这个结论可以用地上/地下竞争的相互作用来解释.     

铁矿采矿迹地不同恢复年限的植被特征

1997-2011年利用覆盖客土、覆盖客土+生态植被毯措施对北京首云铁矿尾矿库进行植被恢复,本研究调查了不同恢复年限的植被特征,并与周边自然植被进行对比分析.结果表明:恢复植被以禾本科、豆科和菊科植物为主,占植物物种总数的58％;采用客土+生态植被毯恢复的植被多度、物种丰富度和Shannon指数均接近周边未扰动植被,高于仅覆盖客土恢复的植被;客土+生态植被毯恢复植被的地上和地下部分生物量显著高于仅覆盖客土的植被,与对照差异不显著;采用客土+生态植被毯措施恢复植被的枯落物生物量第6年达到对照水平.采矿迹地植被快速重建对北京市生态涵养发展区的潜在生态功能发挥具有重要的意义,为类似采矿迹地植被重建提供可借鉴的案例.     

科尔沁沙地湖泊消涨对气候变化的响应

湖泊是受气候变化影响显著的地理单元之一,不同地区湖泊消涨与气候变化关系的分析是理解陆地水文过程对未来气候变化响应的关键之一。对干旱、半干旱地区而言,湖泊消涨对气候变化的响应是干旱区生态保护和未来可持续发展的重要指征。气候变化对湖泊的影响研究在不同的区域已有较多的研究,但是针对湖泊群且基于湖泊大小分级和不同降水强度的对应研究还很鲜见。有鉴于此,作者在RS和GIS技术支持下,采用湖泊大小和降水强度分级的方法,分析了科尔沁沙地湖泊群消涨与气候变化的关系。在1971-2010年间,年均气温波动升高和降水量波动减少是该区域的主要气候变化特点。从5年移动平均分析来看,1990年是气温变化的转折点,1991-2010年的平均气温7.36（?0.55）℃,高于全球同期平均增温0.52℃。在1975-2009年间,科尔沁沙地湖泊面积和数量的变化趋势呈抛物线型减少,在1995年湖泊面积与数量最高。进入21世纪,湖泊面积萎缩、数量减少呈明显的加快趋势。到2009年,面积>0.05km2湖泊数量仅为81个,不足高峰期（1995年）的11%;湖泊总面积为4375.0hm2,不到1995年的26%。本研究表明,湖泊消涨主要受到年降水量波动影响,与年内降水分布格局无关,气温变化的影响不显著。     

基于光谱特征变量的湿地典型植物生态类型识别方法——以北京野鸭湖湿地为例

光谱特征变量的选择对于湿地植被识别的精度和效率有着直接的影响作用.以华北地区典型的淡水湿地——野鸭湖湿地为研究区,采用Field Spec 3野外高光谱辐射仪,获取了野鸭湖典型湿地植物的冠层光谱.以野外高光谱数据为基础,首先利用一阶导数与包络线去除的方法,分析和对比不同植物生态类型的光谱特征,选定了用于识别植物生态类型的光谱特征变量,选定的8个光谱特征变量为红边位置WP_r、红边幅值Dr、绿峰位置WP_g、绿峰幅值Rg、510 nm附近的吸收深度DEP-510和吸收面积AREA-510、675 nm附近的吸收深度DEP-675和吸收面积AREA-675.其中,7种植物生态类型的一阶导数光谱特征差异较小,吸收特征差异性相对较大.除WP_r和WP _g外,沉水植物Rg和Dr平均值最低,湿生植物的Rg平均值最高,达到0.164,栽培植物的Dr平均值最高,达到0.012.7种植物生态类型在675 nm附近的DEP-675和AREA-675均高于510 nm附近的DEP-510与AREA-510,除去栽培植物,随着水分梯度的变化,其他6种植物生态类型的吸收深度和吸收面积都表现出先升高后降低的趋势.然后利用单因素方差分析(One-way ANOVA)验证了所选光谱特征变量的区分度,在P≤0.01的置信水平下,选取的8个光谱特征变量都能够较好的区分7种植物生态类型,区分度的最小值为13,最大值为18,并且吸收特征参数的区分度优于一阶导数参数.最后应用非线性的反向传播人工神经网络(BP-ANN)与线性判别分析(FLDA)的类型识别方法,利用选定的8个光谱特征变量进行湿地植物生态类型识别,取得了较好的识别精度,两种方法的总分类精度分别达到85.5％和87.98％.单因素方差分析(One-way ANOVA)和不同分类器的分类精度表明,所选的8个光谱特征变量具有一定的普适性和可靠性.     

Isolation and characterization of Histone1 gene and its promoter from tea plant (Camellia sinensis)

One 1.2 kbp long sequence was cloned by using PCR with primers that were designed from cDNA sequence of CsH1 gene (Genbank: EU716314) from tea plant (Camellia sinensis). According to the 1.2 kbp sequence, a 0.6 kbp sequence was isolated from tea plant genomic DNA using DNA Walking Method. Sequence analysis revealed that the 1.2 kbp sequence is a CsH1 gene consisting of 1 exon and 2 introns, the border of exton and intron sequences conforming to the GT–AG rule, and the 0.6 kbp sequence was found to be the promoter of CsH1 gene which contains basic promoter elements, TATA-box and CAAT-box. Abscisic acid responsiveness cis-acting element, elictor-responsive element, GA response element, light response cis-acting element and TC-rich repeats were also represented. To further study the activity of this promoter, the sequence was used to drive a GUS fusion gene in Agrobacterium-mediated transformation of tea plant somatic embryos, leaf discs and calli of tobacco (Nicotiana tabacum L.) where a high level of GUS expression was both observed in the tobacco calli and tea plant somatic embryos. These results suggest that the CsH1 gene promoter isolated is capable of conferring nuclear gene expression.     

沙木蓼和沙枣对地下水位变化的生理生态响应Ⅰ.叶片养分、叶绿素、可溶性糖和淀粉的变化

在甘肃民勤沙生植物园内利用植物蒸腾耗水量观测场,研究了两种优势旱生植物沙木蓼（Atraphaxis frutescens)和沙棘（Elaeagnus angustifolia)叶片中的叶绿素、可溶性糖,淀粉和N、P、K、含量等对不同地下水深度（1－3．4m）的响应。结果表明：1）1.4m,2.4m和3．4m 3种不同地的地下水深度处理,产生了3种差异显著的土壤水分梯度;2）地下水深度的变化导致了这两种旱生植物叶绿素a、叶绿素b、叶绿素总量、叶绿素a与叶绿素b的比值等的显著变化（P＜0．01）;3）地下水深度的增加引起了两种植物叶片可溶性糖含量的升高和淀粉含量的降低;4）地下水深度的增加引起了两种植物叶片中N、P、K含量的降低;5）不同的地下水深度引起沙棘和沙木蓼叶绿素a、叶绿素b、叶绿素总量、叶绿素a与叶绿素b的比值、N、P、K含量,可溶性糖和淀粉增加或减少的程度不同。沙棘是非豆科固氮植物,两者的差异是否与固氮作用相关还有待于进一步研究。     

乙型脑炎病毒NS2A-C60A位点突变对其生物学特性影响研究*

目的:旨在探索Ⅰ型日本乙型脑炎病毒传代致弱后基因组突变NS2A-C60A对乙脑病毒生物学特性的影响。方法:首先通过对传代致弱及原始乙脑毒株基因组序列进行测序比对、结构预测分析并利用Western blotting(WB)确定了目标研究位点NS2A-C60A;然后使用反向遗传定点突变技术构建拯救了包含NS2A-C60A单点突变的病毒株;最后利用噬斑形态观察、生长曲线、双萤光素酶分析,WB以及炎性因子检测和动物实验研究了该单点突变对于乙脑病毒生物学特性的影响。结果:首次研究发现Ⅰ型乙脑病毒传代致弱会导致NS1'蛋白表达的显著下降以及可能的相关位点NS2A-C60A,并成功拯救获得了NS2A-C60A单点突变毒株rJEV-C60A,研究发现NS2A-C60A突变对乙脑病毒的生长特性及噬斑形成没有显著影响,但是能够显著降低乙脑病毒NS1'蛋白的表达,并且该位点突变能够轻微阻碍乙脑病毒对细胞炎性因子表达的抑制,动物实验结果显示NS2A-C60A点突变病毒与原毒株具有相似的神经毒力,说明该位点突变不是影响乙脑病毒毒力致弱的关键位点。结论:新发现的NS2A-C60A位点突变能够显著减少乙脑病毒NS1'蛋白的表达,但是对其增殖、诱导炎症及神经毒力等生物学特性没有显著影响。     

A systematic review of metabolomics biomarkers for Bisphenol A exposure

Introduction

Bisphenol A (BPA), 2,2-bis(4-hydroxyphenyl) propane, a common industrial chemical which has extremely huge production worldwide, is ubiquitous in the environment. Human have high risk of exposing to BPA and the health problems caused by BPA exposure have aroused public concern. However, the biomarkers for BPA exposure are lacking. As a rapidly developing subject, metabolomics has accumulated a large amount of valuable data in various fields. The secondary application of published metabolomics data could be a very promising field for generating novel biomarkers whilst further understanding of toxicity mechanisms.

Objectives

To summarize the published literature on the use of metabolomics as a tool to study BPA exposure and provide a systematic perspectives of current research on biomarkers screening of BPA exposure.

Methods

We conducted a systematic search of MEDLINE (PubMed) up to the end of June 25, 2017 with the key term combinations of ‘metabolomics’, ‘metabonomics’, ‘mass spectrometry’, ‘nuclear magnetic spectroscopy’, ‘metabolic profiling’ and ‘amino acid profile’ combined with ‘BPA exposure’. Additional articles were identified through searching the reference lists from included studies.

Results

This systematic review included 15 articles. Intermediates of glycolysis, Krebs cycle, β oxidation of long chain fatty acids, pentose phosphate pathway, nucleoside metabolism, branched chain amino acid metabolism, aromatic amino acids metabolism, sulfur-containing amino acids metabolism were significantly changed after BPA exposure, suggesting BPA had a highly complex toxic effects on organism which was consistent with existing studies. The biomarkers most consistently associated with BPA exposure were lactate and choline.

Conclusion

Existing metabolomics studies of BPA exposure present heterogeneous findings regarding metabolite profile characteristics. We need more evidence from target metabolomics and epidemiological studies to further examine the reliability of these biomarkers which link to low, environmentally relevant, exposure of BPA in human body.