Reaction mechanism of surfactant‐sensitized chemiluminescence of bis(2,4,6‐trichlorophyenyl) oxalate and hydrogen peroxide induced by gold nanoparticles

The chemiluminescence (CL) of bis(2,4,6‐trichlorophyenyl) oxalate with hydrogen peroxide in the present of cationic surfactant and gold nanoparticles was studied. The CL emission was obviously enhanced in the presence of surfactant at a suitable concentration, with a synergetic catalysis effect exhibited. Different sizes of gold nanoparticles (15 and 50 nm) showed different effects on CL intensity. Mechanisms of the CL reaction and sensitization effect are discussed. Copyright © 2008 John Wiley & Sons, Ltd.     

光对尾穗苋幼苗内苋红素合成的诱导

不同苗龄的尾穗苋黄化苗对10 min,15Wm~(-2)白光的反应能力不同。光诱导的苋红素合成始于播种后第 20h,至50h合成能力最大,82h以后幼苗对短时光照的反应能力趋于消失。苋红素合成的滞后期为3h,光处理后18h色素积累达到高峰。光调节苋红素合成符合红光—远红光可逆诱导反应等两个基本模式,确证光敏色素参与调控苋红素合成.     

硅藻土在青霉素G酰化酶提纯中的应用

国产硅藻土经氢氧化铵处理后可用于从发酰液中直接取青霉素Ｇ酰化酶,平均吸附量为９０Ｕ／ｇ。吸附的酶可用２２％硫酸铵－０．３ｍｏｌ／ＬＰＢＳ（ｐＨ８．０）溶液洗脱。平均比１８Ｕ／１８Ｕｍｇ蛋白（ＮＩＰＡＢ法）。硅藻土可反复使用。苯乙酰胺－Ｓｅｐｈａｒｏｓｅ４Ｂ树脂可对酶作进一步的纯化。     

黑缘烟蟋螽丝腺结构

【目的】蟋螽是直翅目中唯一具有吐丝筑巢行为的类群。本研究旨在探讨蟋螽丝腺的结构特点。【方法】应用解剖学观察、免疫荧光、苏木精-伊红染色、PAS苏木精染色、扫描电镜和透射电镜等方法从细胞水平对黑缘烟蟋螽Capnogryllacris nigromarginata丝腺的显微与超微结构进行了观察。【结果】黑缘烟蟋螽丝腺由导管和腺泡构成。腺泡由鞘细胞延伸形成的结缔组织鞘包围。腺泡的主体有4种细胞,分别为Ⅰ型分泌细胞、Ⅱ型分泌细胞、围细胞和腔细胞。Ⅰ型和Ⅱ型分泌细胞为大的腺细胞,形状不规则。分泌细胞细胞核很大,胞质内有大量的内质网和分泌颗粒。Ⅰ型分泌细胞靠近腺泡中心,PAS-苏木精染色表明Ⅰ型分泌细胞内含糖蛋白,Ⅱ型分泌细胞在腺泡外周,位于Ⅰ型分泌细胞与围细胞或结缔组织鞘之间。腔细胞分散在分泌细胞之间,包围形成胞外运输分泌物的通道。围细胞与鞘细胞接触,具有由细胞膜内陷形成的微绒毛腔,胞质内有大量的线粒体。围细胞微绒毛腔与腔细胞包围的细胞外运输通道相连,分泌细胞分泌的颗粒聚集在分泌细胞和胞外运输通道之间的连接处,并将分泌物排出至胞外运输通道。多个腺泡的胞外运输通道汇集到由单层细胞组成的丝腺导管。单层导管细胞靠近管腔外围具有规则排列的质膜内陷和大量伸长的线粒体;靠近管腔的一侧具连续的细胞膜突起,在导管壁的表皮下紧密排列。【结论】黑缘烟蟋螽丝腺分泌细胞分为Ⅰ型分泌细胞和Ⅱ型分泌细胞。分泌物质产生及分泌过程依次经过分泌细胞、腔细胞包围的胞外通道、分支导管、总导管和唾窦。其中在腺泡细胞之间,分泌物向外运输过程中,围细胞微绒毛腔的微丝束可能对分泌物的外排提供推动力。     

中国北鳅谱系地理学分析

北鳅(Lefua costata)为冷水性鱼类, 分布于淮河以北, 分析遗传结构能够反映其适应环境变迁的响应。基于线粒体D-loop区211条序列分析了我国北鳅的谱系地理学和遗传多样性, 样本采自9条水系共18个样点。单倍型分析显示共计55个单倍型, 呈高单倍型多样性(h=0.9304)和高核苷酸多样性(π=0.0087)。单倍型多样性和核苷酸多样性最高的为辽东半岛种群(LD) (h=0.8920, π=0.0074), 其他地理种群距辽东半岛越远, 单倍型多样性越低。遗传距离(K2P)、群体间的遗传分化指数(F_ST)及AMOVA分子方差分析均显示LD种群与其他地理种群存在显著分化。基于单倍型构建的分子系统发育树和单倍型网络关系图均显示9条水系的单倍型不能各自聚类, 形成3大分支: 分支A以LD种群为主; 分支B含所有地理种群; 分支C以淮黄河种群(HH)和海滦河种群(HL)为主。中性检验和错配分析显示不同地理种群有扩张现象。基于化石校准点和北鳅鱼类D-loop序列1.00%Ma的平均进化速率评估各地理种群的分歧时间, 为2.3784— 0.0477Ma前, LD种群与其他地理种群分化时间最早(2.3784 Ma前), 推测LD种群受第四纪冰期影响较小, 辽东半岛为我国北鳅起源地之一, 其他地理种群以辽东半岛为中心借助松辽古大湖和黄渤海平原河口等发生多次迁移。     

杨树受机械损伤与光肩星天牛危害的防御性反应

杨树是我国“三北”地区防护林建设的主栽树种,自20世纪70年代以来长期受到光肩星天牛的严重危害。北抗杨对光肩星天牛有一定的抗性,但产生抗性的生化机制尚不清楚。本研究采用试剂盒法与高效液相色谱法以未受害、机械损伤、虫害北抗杨为研究材料,对其树皮和木质部中的次生代谢产物和防御酶含量进行检测,以探索其抗性机制。结果表明,北抗杨受到机械损伤和光肩星天牛危害后其反应不同:1)次生代谢产物,北抗杨受到机械损伤后,树皮中的水杨苷和白杨甙含量显著上升,槲皮苷含量降低;而受光肩星天牛危害后,树皮中的水杨苷和槲皮苷含量显著上升,白杨甙含量无显著变化。机械损伤的北抗杨木质部总酚含量高于虫害与未受害木质部,后两者间无显著差异;光肩星天牛危害的北抗杨木质部白杨甙和亚麻木酚素含量高于机械损伤木质部与未受害木质部。遭受机械损伤与虫害后北抗杨木质部的总酚苷含量显著高于未受害木质部。2)防御酶活性分析表明,与未受害北抗杨树皮相比,受到机械损伤与虫害后的树皮苯丙氨酸解氨酶(PAL)活性显著升高,但两者间无差异;受到机械损伤与虫害后的树皮超氧化物歧化酶(SOD)活性高于未受害树皮,且机械损伤树皮高于虫害树皮;北抗杨受机械损伤与虫害后木质部中的过氧化物酶(POD)活性高于未受害木质部,但两者间无差异。3)与未受害北抗杨相比,北抗杨受机械损伤、虫害后部分次生代谢物和防御酶都有不同程度的增加,推测这些物质可能与北抗杨抗逆性反应有关。     

星果衣属（乳嘴衣科）一新种和一中国新记录种

通过形态学、解剖学、化学与分子系统学相结合的方法对中国星果衣属地衣型真菌进行研究,发现该属一新种即Astrothelium sinense和一中国新记录种A. macrocarpum。新种的主要特征为地衣体具有突起,子囊器除顶端呈黑色外边缘部分形成白色环状区域且地衣体和假子座均为UV+黄色,含有地衣黄等。分别与其相似种进行了比较和讨论。本研究为中国地衣志的编研提供了数据储备,并为我国地衣型真菌物种资源开发利用提供基础资料。     

Targeted sequencing and integrative analysis of 3,195 Chinese patients with neurodevelopmental disorders prioritized 26 novel candidate genes

Neurodevelopmental disorders(NDDs) are a set of complex disorders characterized by diverse and cooccurring clinical symptoms. The genetic contribution in patients with NDDs remains largely unknown.Here, we sequence 519 NDD-related genes in 3,195 Chinese probands with neurodevelopmental phenotypes and identify 2,522 putative functional mutations consisting of 137 de novo mutations(DNMs) in 86 genes and 2,385 rare inherited mutations(RIMs) with 22 X-linked hemizygotes in 13 genes, 2 homozygous mutations in 2 genes and 23 compound heterozygous mutations in 10 genes. Furthermore, the DNMs of16,807 probands with NDDs are retrieved from public datasets and combine in an integrated analysis with the mutation data of our Chinese NDD probands by taking 3,582 in-house controls of Chinese origin as background. We prioritize 26 novel candidate genes. Notably, six of these genes d ITSN1, UBR3, CADM1,RYR3, FLNA, and PLXNA3 d preferably contribute to autism spectrum disorders(ASDs), as demonstrated by high co-expression and/or interaction with ASD genes confirmed via rescue experiments in a mouse model. Importantly, these genes are differentially expressed in the ASD cortex in a significant manner and involved in ASD-associated networks. Together, our study expands the genetic spectrum of Chinese NDDs,further facilitating both basic and translational research.     

Calcium channels at the center of nucleotide-binding leucine-rich repeat receptor-mediated plant immunity

正Higher plants utilize a variety of immune receptors to recognize pathogens and trigger defense responses. Intracellular nucleotidebinding leucine-rich repeat receptors(NLRs) are widely used for detecting pathogen effectors(Jones et al., 2016; Zhou and Zhang,2020). NLRs are also present in animals, including mammals,     

Multiomics metabolic and epigenetics regulatory network in cancer: A systems biology perspective

Genetic, epigenetic, and metabolic alterations are all hallmarks of cancer. However, the epigenome and metabolome are both highly complex and dynamic biological networks in vivo. The interplay between the epigenome and metabolome contributes to a biological system that is responsive to the tumor microenvironment and possesses a wealth of unknown biomarkers and targets of cancer therapy. From this perspective, we first review the state of high-throughput biological data acquisition(i.e. multiomics data)and analysis(i.e. computational tools) and then propose a conceptual in silico metabolic and epigenetic regulatory network(MER-Net) that is based on these current high-throughput methods. The conceptual MER-Net is aimed at linking metabolomic and epigenomic networks through observation of biological processes, omics data acquisition, analysis of network information, and integration with validated database knowledge. Thus, MER-Net could be used to reveal new potential biomarkers and therapeutic targets using deep learning models to integrate and analyze large multiomics networks. We propose that MER-Net can serve as a tool to guide integrated metabolomics and epigenomics research or can be modified to answer other complex biological and clinical questions using multiomics data.