Detecting unknown sequences with DNA microarrays: explorative probe design strategies

Designing environmental DNA microarrays that can be used to survey the extreme diversity of microorganisms existing in nature, represents a stimulating challenge in the field of molecular ecology. Indeed, recent efforts in metagenomics have produced a substantial amount of sequence information from various ecosystems, and will continue to accumulate large amounts of sequence data given the qualitative and quantitative improvements in the next-generation sequencing methods. It is now possible to take advantage of these data to develop comprehensive microarrays by using explorative probe design strategies. Such strategies anticipate genetic variations and thus are able to detect known and unknown sequences in environmental samples. In this review, we provide a detailed overview of the probe design strategies currently available to construct both phylogenetic and functional DNA microarrays, with emphasis on those permitting the selection of such explorative probes. Furthermore, exploration of complex environments requires particular attention on probe sensitivity and specificity criteria. Finally, these innovative probe design approaches require exploiting newly available high-density microarray formats.     

Recent developments in molecular techniques for identification and monitoring of xenobiotic-degrading bacteria and their catabolic genes in bioremediation

The pollution of soil and water with xenobiotics is widespread in the environment and is creating major health problems. The utilization of microorganisms to clean up xenobiotics from a polluted environment represents a potential solution to such environmental problems. Recent developments in molecular-biology-based techniques have led to rapid and accurate strategies for monitoring, discovery and identification of novel bacteria and their catabolic genes involved in the degradation of xenobiotics. Application of these techniques to bioremediation has also improved our understanding of the composition, phylogeny, and physiology of metabolically active members of the microbial community in the environment. This review provides an overview of recent developments in molecular-biology-based techniques and their application in bioremediation of xenobiotics.     

空气微生物群落解析方法:从培养到非培养

随着世界范围内流行性疾病以及我国空气雾霾事件的不断发生,空气生物性污染的研究开始受到高度重视,其研究方法也随着分子生物学技术的快速发展而不断更新,由早期以生化技术为基础的研究方法转变为以现代分子生物学技术为基础的研究方法。综述了空气微生物群落多样性解析方法从培养到非培养的发展过程,包括培养技术法、BIOLOG技术、生物标记法、基因指纹图谱技术、核酸杂交技术、实时荧光定量PCR、空气微生物宏基因组学及基因芯片技术,阐述了这些技术的基本原理,比较了各种技术的优缺点并重点介绍了它们在空气微生物群落多样性研究中的应用概况,最后展望了空气微生物学研究的发展方向。     

Phytoremediation of organic xenobiotics - Glutathione dependent detoxification in Phragmites plants from European treatment sites

Studies on the uptake of several organic xenobiotics and on their subsequent conjugation to biomolecules have been performed to elucidate the use of reed plants in phytoremediation of polluted water. Phragmites australis plants were able to accumulate organic xenobiotics in their rhizomes. The uptake was correlated to the logKOW and pKa of the xenobiotics and highest with compounds exhibiting logKOWs between 1 and 3. Detoxification of xenobiotics was demonstrated when the activity of glutathione S-transferase was determined in plants from various treatment sites. Enzyme activities were strongly dependent on the provenience of the plant and the history of the stand. Detoxification enzymes were also inducible. Naphthylic acetic acid (NAA), 2,4-dichlorophenol and BION were tested as potential inducers. BION was able to induce the GST activity 5-fold, albeit only for a short period of hours. The mechanism of induction and the flexibility of the detoxification system of certain ecotypes of reed toward stress or the pollution level will require further investigation.     

Cross-Platform Toxicogenomics for the Prediction of Non-Genotoxic Hepatocarcinogenesis in Rat

In the area of omics profiling in toxicology, i.e. toxicogenomics, characteristic molecular profiles have previously been incorporated into prediction models for early assessment of a carcinogenic potential and mechanism-based classification of compounds. Traditionally, the biomarker signatures used for model construction were derived from individual high-throughput techniques, such as microarrays designed for monitoring global mRNA expression. In this study, we built predictive models by integrating omics data across complementary microarray platforms and introduced new concepts for modeling of pathway alterations and molecular interactions between multiple biological layers. We trained and evaluated diverse machine learning-based models, differing in the incorporated features and learning algorithms on a cross-omics dataset encompassing mRNA, miRNA, and protein expression profiles obtained from rat liver samples treated with a heterogeneous set of substances. Most of these compounds could be unambiguously classified as genotoxic carcinogens, non-genotoxic carcinogens, or non-hepatocarcinogens based on evidence from published studies. Since mixed characteristics were reported for the compounds Cyproterone acetate, Thioacetamide, and Wy-14643, we reclassified these compounds as either genotoxic or non-genotoxic carcinogens based on their molecular profiles. Evaluating our toxicogenomics models in a repeated external cross-validation procedure, we demonstrated that the prediction accuracy of our models could be increased by joining the biomarker signatures across multiple biological layers and by adding complex features derived from cross-platform integration of the omics data. Furthermore, we found that adding these features resulted in a better separation of the compound classes and a more confident reclassification of the three undefined compounds as non-genotoxic carcinogens.     

DNA稳定同位素探针技术在宏基因组学中的应用及前景

DNA稳定同位素探针 (DNA-SIP) 是一种新兴的技术,通过将同位素稳定结合到特定的底物来确定环境中微生物的作用。DNA-SIP与宏基因组学结合可以让某些微生物的特性与其特殊新陈代谢联系在一起,不仅可以从宏基因组库里检测到低含量的微生物,而且加速了对新的酶类和其他生物活性物质的发现。以下总结了SIP-宏基因组学技术的原理、应用及研究进展,并讨论了其在环境微生物学和生物技术的应用前景。     

微生物分子生态学研究方法的新进展

环境中微生物的群落结构及多样性和微生物的功能及代谢机理是微生物生态学的研究热点,长期以来,由于受到研究技术的限制,对微生物的群落结构和多样性的认识还不全面,微生物的功能及代谢机理方面了解也很少.随着高通量测序、基因芯片等新技术的不断更新,微生物分子生态学的研究方法和研究途径也在不断变化.高通量测序技术改变了微生物多样性、宏基因组学和宏转录组学的研究方法,GeoChip高密度覆盖海量已知功能的基因探针于单张芯片,能快速确定微生物和已知功能基因的存在与否.总结和比较了目前最新的研究手段,并归纳了这些方法的适用性和优缺点.     

Methodological Considerations Regarding Single-Cell Gene Expression Profiling for Brain Injury

Genomic microarrays are rapidly becoming ubiquitous throughout a wide variety of biological disciplines. As their use has grown during the past few years, many important discoveries have been made in the fields of central nervous system (CNS) injury and disease using this emerging technology. In addition, single-cell mRNA amplification techniques are now being used along with microarrays to overcome many of the difficulties associated with the cellular heterogeneity of the brain. This development has extended the utility of gene expression profiling and has provided researchers with exciting new insights into the neuropathology of CNS injury and disease at a molecular and cellular level. New methodological, standardization, and statistical techniques are currently being developed to improve the reproducibility of microarrays and facilitate the analysis of large amounts of data. In this review, we will discuss the application of these techniques to experimental, clinically relevant models of traumatic brain injury.     

Lectinomics II. A highway to biomedical/clinical diagnostics

The review assesses current status and attempts to forecast trends in the development of lectin biorecognition technology. The progressive trend is characterized scientometrically and reflects the current transient situation, when standard low-throughput lectin-based techniques are being replaced by a novel microarray-based techniques offering high-throughput of detection. The technology is still in its infancy (validation phase), but already shows promise as an efficient tool to decipher the enormous complexity of the glycocode that influences physiological status of the cell. Further enhancement in robustness and flexibility of lectin microarrays is predicted by using recombinant and artificial lectins that will render production of lectin microarrays cost-effective and more affordable. Mass spectrometry is expected to play an important role to characterize the binding profile of new lectins. Differences in glycan recognition by lectins and anti-carbohydrate antibodies are given on a molecular basis, and strong and weak points of both biorecognition molecules in diagnosis are briefly discussed.     

未培养微生物的研究与微生物分子生态学的发展*

近年来现代分子技术和基因组学逐渐渗透到有关生命科学的整个领域,也为微生物生态学提供了新的研究方法和机遇。16S rRNA基因序列分析、DNA-DNA杂交、核酸指纹图谱以及宏基因组学等分子技术检查自然环境中的微生物,可以克服传统纯培养技术的不足,是一条探知未培养微生物、寻找新基因及其产物的新途径,开启了我们认识微生物多样性和获得新资源的大门。     

Diversity and biogeography of marine actinobacteria

The actinomycetes, although not all the Actinobacteria, are easy to isolate from the marine environment. However, their ecological role in the marine ecosystem is largely neglected and various assumptions meant there was little incentive to isolate strains for search and discovery of new drugs. However, the marine environment has become a prime resource in search and discovery for novel natural products and biological diversity, and marine actinomycetes turn out to be important contributors. Similarly, striking advances have been made in marine microbial ecology using molecular techniques and metagenomics, and actinobacteria emerge as an often significant, sometimes even dominant, environmental clade. Both approaches - cultivation methods and molecular techniques - are leading to new insights into marine actinobacterial biodiversity and biogeography. Very different views of actinobacterial diversity emerge from these, however, and the true extent and biogeography of this are still not clear. These are important for developing natural product search and discovery strategies, and biogeography is a hot topic for microbial ecologists.     

Phenol sulfotransferases.

Two phenol sulfotransferases have been purified from rat liver by conventional techniques coupled with affinity chromatography on Affi-Gel blue and ATP-agarose. Both enzymes are homogeneous by the criterion of sodium dodecyl sulfate gel electrophoresis. Each enzyme has a molecular weight of approximately 65,000 and consists of two subunits of apparently equal size. The enzymes are also similar in specificity and in their kinetic parameters but differ in amino acid composition and in their elution from DEAE-cellulose. With adenosine 3'-phosphate 5'-phosphosulfate as donor, a large variety of phenolic compounds serve as sulfate acceptor; sterols, simple alcohols, bile acids, and hydroxamates do not serve as substrates. The transferases may be considered as detoxification enzymes which catalyze the conjugation of xenobiotics containing a phenol group or of phenolic compounds generated by endogenous oxidation. The enzymes act on 3-hydroxyindole to yield indican, suggesting that their in vivo function may include the production of this normal tryptophan metabolite.     

可降解新烟碱类杀虫剂微生物及其代谢途径的研究进展

新烟碱类化合物基于烟碱结构改造修饰制备,相较菊酯、含磷类等杀虫剂,因其选择性毒力被认为是一类对人类和生态无害的农药。然而,近年来由于新烟碱类杀虫剂(neonicotinoid insecticides)过度施用,其残余或转化的物质通过在土壤与水体中累积,影响昆虫甚至哺乳动物及其生理与行为,导致了一系列生态环境问题和继发危害。本文聚焦新烟碱类杀虫剂的产业现状,面向生物降解新烟碱类杀虫剂这一迫切需求,围绕新烟碱类杀虫剂的微生物菌株资源,重点阐述微生物降解新烟碱类杀虫剂的代谢机制及其多样性。通过梳理新烟碱类杀虫剂生物降解及其应用转化的关键问题和前沿进展,旨在为借助合成生物学和宏基因组学手段建立或筛选安全可控的新烟碱类杀虫剂的高效转化体系提供参考。     

Protein and small molecule microarrays: powerful tools for high-throughput proteomics

Advances in genomics and proteomics have opened up new possibilities for the rapid functional assignment and global characterization of proteins. Large-scale studies have accelerated this effort by using tools and strategies that enable highly parallel analysis of huge repertoires of biomolecules. Organized assortments of molecules on arrays have furnished a robust platform for rapid screening, lead discovery and molecular characterization. The essential advantage of microarray technology is attributed to the massive throughput attainable, coupled with a highly miniaturized platform--potentially driving discovery both as an analytical and diagnostic tool. The scope of microarrays has in recent years expanded impressively. Virtually every biological component--from diverse small molecules and macromolecules (such as DNA and proteins) to entire living cells--has been harnessed on microarrays in attempts to dissect the bewildering complexity of life. Herein we highlight strategies that address challenges in proteomics using microarrays of immobilized proteins and small molecules. Of specific interest are the techniques involved in stably immobilizing proteins and chemical libraries on slide surfaces as well as novel strategies developed to profile activities of proteins on arrays. As a rapidly maturing technology, microarrays pave the way forward in high-throughput proteomic exploration.