Twenty years of research into medicinal plants: Results and perspectives

Over the years 1981 to 2001 there has been a rapid evolution of research into medicinal plants. The major improvement has been the introduction of simple and predictive bioassays for bioactivity-guided isolation. Radical developments in separation methods have also taken place. Another important addition has been the development of hyphenated techniques involving HPLC: LC/UV, LC/MS, LC/MSⁿ and LC/NMR. These are indispensable nowadays for the early detection and identification of new compounds in crude plant extracts. Hyphenated techniques allow an efficient targeted isolation approach for the discovery of new lead compounds. Other areas of increasing importance include the investigation of toxic constituents of plants and phytomedicines, and the effects of genetic modifications on plant secondary metabolites. This revised version was published online in June 2006 with corrections to the Cover Date.     

Aristolochia gorgona (Aristolochiaceae), a new species with giant flowers from Costa Rica and Panama

Aristolochia gorgona is described from the Atlantic watershed of Costa Rica and central and eastern Panama. It is similar toA. grandiflora Sw., with which it has been confused in the past. The extensive reported synonymy ofA. grandiflora is reviewed and compared with the new entity. Some new terms are proposed for better describing floral structure in this species complex, and suggestions are made for its collection and study.Aristolochia gorgona is one of the largest-flowered plant species (in terms of perianth area) in the Neotropics.

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Resumen   Aristolochia gorgona se describe de la vertiente Atlántica de Costa Rica y del centro y este de Panamá. Es similar aA. grandiflora Sw., con la cual se ha confundido en el pasado. La extensa sinonimia reportada paraA. grandiflora es revisada, y comparada con la nueva entidad. Se proponen algunos términos nuevos para describir mejor la estructura floral en éste complejo de especies, y se ofrecen sugerencias para su recolección y estudio.Aristolochia gorgona es una de las especies vegetales con flores más grandes (en cuanto al área del perianto) en el Neotrópico.

     

Nocturnal increases in the use of near-surface water by pond animals

We assessed diel animal habitat use in three shallow ponds, using unbaited funnel traps, a large column sampler, and sweep net collections in the upper stratum (0–0.3 m) of littoral and open habitats. In all three ponds, more animals were caught at night than during the day, indicating that use of near-surface waters was greatest at night, particularly in the fishless ponds. All methods yielded similar patterns. Our results demonstrate that nocturnal observations of pond animals are necessary to describe their ecology, even in fishless ponds where diel differences in habitat use or behavior might not be anticipated.     

麦类作物遗传转化(英)

麦类作物包括小麦 (TriticumaestivumL .)、硬粒小麦 (Triticumturgidumconv .durumDest.e.m)、大麦 (HordeumvulgareL .)、黑麦 (SecalecerealL .)、燕麦 (AvenasativaL .)及小大麦 (×TritordeumAschersonetGraebuer.)。自从基因枪被发明以来 ,科学家们已经利用来自麦类作物的幼胚、盾片、成熟种子胚、花粉粒、花药、幼穗、叶基组织、发芽种子幼苗的顶端分生组织及其愈伤组织或培养物作为外植体 ,通过基因枪、农杆菌介导、PEG法、电激法、微注射法、硅化纤维素介导、幼穗注射法等技术先后将一些选择标记基因、报告基因和有用的目的基因如抗真菌、抗虫、籽粒品质、抗干旱基因等转化到麦类作物中。转基因植物表现为抗性增强或籽粒的加工品质提高和营养成份增加。被转化的基因通常以单位点多拷贝的形式随机整合到受体细胞的基因组中 ,并以孟德尔规律遗传。整合位点一般分布在染色体的近端粒区域 ,整合的拷贝数大多为 5～ 10个拷贝 ,最高可达到 5 0个拷贝。在转化过程中 ,被转化的质粒上的片段包括选择标记基因、目标基因、甚至质粒的抗生素基因和其他无关序列 ,随机地连接并形成多个分子量大小不等 ,组成成分不同的分子簇 ,或首先由其中一个分子簇整合到植物基因组中 ,这会导致在整合位点附近产生“热点     

早黄菊套盆栽培技术

介绍早黄菊的套盆技术,研究了套盆技术环节如繁殖,覆土,矮化及病虫害防治等。结果显示栽黄菊可以通过人工控制使其形状美国和花色亮丽及植株矮化。同时花期也能为控制,利用此法可以控制菊花的病虫害。     

Some considerations when using a microwave oven as a laboratory research tool

Microwave ovens can be used in laboratories for the rapid heating of material – either to dry them completely or to subject a workpiece to sudden thermal stress or electric field stress. Determinations of the moisture content levels in soil or leaf tissue samples, for example, can be made within tens of seconds rather than hours. It is often assumed that placing a load within a microwave oven will result in it being heated evenly as well as quickly, but this is not always the case. This paper describes how a microwave oven works and illustrates how the heating effect within a workpiece can vary. The size and shape of a sample as well as its physical properties determine the power absorption. Equal volumes of water in different shaped containers attain different final temperatures and a tall, cylindrical water load is shown to have different temperatures at different levels. Most microwave ovens do not have a true, variable power capability, but rely on an on/off timing ratio to vary mean power. If this is not appreciated, then erroneous conclusions might be drawn from a set of experiments involving different power levels. Changes in mains supply voltage can affect the amount of energy dissipated in a load. This may introduce variations in results if experiments are conducted over a period of several hours. Experiments are described which illustrate these effects and some criteria and working practices are suggested to improve the consistency and reliability of results when using a microwave oven as a research tool.     

DNA复制研究步入单分子时代

DNA复制是生命体内必不可少的基本过程之一。传统研究显示DNA复制体中前导链和后随链的合成速度总体来说是一致的,从而避免在新生链中产生明显的单链缺口。主流的观点认为这是由于负责前导链和后随链的两个DNA聚合酶分子之间存在着某种协调同步机制。然而,Kowalczykowski实验室最近采用单分子荧光显微技术实时跟踪发现,大肠杆菌DNA复制体前导链和后随链上两个DNA聚合酶分子互相独立工作,并且都不是匀速行进而是呈现断断续续、时快时慢的随机动态变化。当DNA聚合酶暂停复制时,解旋酶仍会持续解链,导致解旋酶和聚合酶短暂的分离。有意思的是,此时DNA复制体触发一种类似“死人键”(dead-man’s switch)的保险机制,使DNA解旋的速度降低80%,从而恢复解旋酶和聚合酶的偶联。基于单分子水平的实时观察,他们认为前导链和后随链DNA复制进程均遵循一个符合高斯分布的随机模型。这与传统的生化研究观察到两者的合成速度总体来说是一致的并不矛盾。Kowalczykowski实验室的研究实现了从复制开始到结束整个过程对每个单分子行为的连续观测,而传统研究反映的则是经过较长时间对多分子群体平均水平的最终结果进行测定。因此,单分子技术可以极大地弥补传统生化研究的不足。随着未来单分子技术的进步和更广泛的应用,必将把包括DNA复制在内的生物学研究带到一个新的时代。     

Innovative biomarkers in psychiatric disorders: a major clinical challenge in psychiatry

Introduction: Currently, the diagnosis of psychiatric illnesses is based upon DSM-5 criteria. Although endophenotype-specificity for a particular disorder is discussed, the identification of objective biomarkers is ongoing for aiding diagnosis, prognosis, or clinical response to treatment. We need to improve the understanding of the biological abnormalities in psychiatric illnesses across conventional diagnostic boundaries. The present review investigates the innovative post-genomic knowledge used for psychiatric illness diagnostics and treatment response, with a particular focus on proteomics.

Areas covered: This review underlines the contribution that psychiatric innovative biomarkers have reached in relation to diagnosis and theragnosis of psychiatric illnesses. Furthermore, it encompasses a reliable representation of their involvement in disease through proteomics, metabolomics/pharmacometabolomics and lipidomics techniques, including the possible role that gut microbiota and CYP2D6 polimorphisms may play in psychiatric illnesses.

Expert opinion: Etiologic heterogeneity, variable expressivity, and epigenetics may impact clinical manifestations, making it difficult for a single measurement to be pathognomonic for multifaceted psychiatric disorders. Academic, industry, or government’s partnerships may successfully identify and validate new biomarkers so that unfailing clinical tests can be developed. Proteomics, metabolomics, and lipidomics techniques are considered to be helpful tools beyond neuroimaging and neuropsychology for the phenotypic characterization of brain diseases.     

Morphological,Secondary Metabolite and ITS (rDNA) Variability within Usnic Acid‐Containing Lichen Thalli of Xanthoparmelia Explored at the Local Scale of Rock Outcrop in W‐Alps

Lichen secondary metabolites (LSMs) are regarded with interest for valuable biological properties, but chemical variability among/within lichen taxa has been only fragmentarily characterized by advanced analytical techniques. Knowledge of variability at a local geographic scale has been particularly neglected, while it should address the collection of chemically homogeneous materials to test and exploit LSMs. Here we evaluated the chemical variability of 48 Xanthoparmelia specimens from two rock outcrops in Western Italian Alps, representative of nine morphotypes and sixteen rDNA ITS haplotypes. Qualitative and quantitative analyses were performed by HPLC‐DAD‐ESI‐MS₂ and UPLC‐HDR‐DAD, respectively, and revealed the occurrence of 18 LSMs. Chemical partition allowed distinguishing six chemical groups, only partially overlapping with distinct morphotypes and three divergent haplotype groups, which, overall, accounted for the co‐occurrence of different taxa only in part identifiable with species described for Europe. Some morphotypes were variable in presence and concentration of LSMs, and chemical divergences also characterized single ITS haplotypes. Accordingly, the collection of chemically homogeneous materials, even at a local scale, may be not properly addressed by morphological features and ITS barcoding, and should be confirmed by a specimen‐level chemical characterization.     

Medicago sativa as a source of secondary metabolites for agriculture and pharmaceutical industry

Medicago sativa L. (lucerne or alfalfa) is a species which is generally regarded as a cheap source of valuable protein not only for animal fodder but also for nourishment provided in the poorest and developing countries. Moreover, this plant has a long tradition of use in folk medicine. Numerous studies indicate that besides protein, M. sativa synthesizes a variety of secondary metabolites. Among secondary metabolite classes produced by alfalfa, the saponins and flavonoids are of most interest and well characterized. In the current review, we have summarized their chemical structure and method of identification. The potential of alfalfa extracts in medicine and pharmacology has been highlighted. Furthermore, new ways of utilizing flavonoids as well as saponins in agriculture and horticulture are discussed. Collected data can be the starting point and inspiration for scientists of various specialties for future research on this plant. This review draws attention to the necessity of developing modern analytical tools for identification and quantification of individual M. sativa phytochemicals.