Biophysics of single molecules

The modern methods of research on biological molecules which have led to the development of a new field of science, biophysics of single molecules, are reviewed. The measurement of the characteristics of single molecules enables one to reveal their individual features, and it is just for this reason that much more information can be obtained from one molecule than from the entire ensemble of molecules. The high sensitivity of the methods considered in detail makes it possible to come close to solving the basic problem of practical importance, namely, the determination of the nucleotide sequence of a single DNA molecule.     

Opinion: Re-evaluating prokaryotic species

There is no widely accepted concept of species for prokaryotes, and assignment of isolates to species is based on measures of phenotypic or genome similarity. The current methods for defining prokaryotic species are inadequate and incapable of keeping pace with the levels of diversity that are being uncovered in nature. Prokaryotic taxonomy is being influenced by advances in microbial population genetics, ecology and genomics, and by the ease with which sequence data can be obtained. Here, we review the classical approaches to prokaryotic species definition and discuss the current and future impact of multilocus nucleotide-sequence-based approaches to prokaryotic systematics. We also consider the potential, and difficulties, of assigning species status to biologically or ecologically meaningful sequence clusters.     

Phagotherapy in terms of bacteriophage genetics: hopes, perspectives, safety, limitations

The appearance and spreading of multidrug-resistant bacterial pathogens is a consequence of the large-scale use of antibiotics in medicine. In view of this, claims for the phage therapy were renewed: in recent studies, the natural phages and their products neutralizing various proteins, as well as the bacterial products often controlled by defective prophages (bacteriocins) were applied for treatment of bacterial infections. Constructs obtained by gene engineering are increasingly used to change some bacteriophage: properties to expand the spectrum of their lytic activity and to eliminate therapeutic drawbacks of some natural phages. In this review, the problem of phage therapy is discussed in general with respect to bacteriophage properties, their genetics, structure, evolution, taking into account long-term experience of the author in the field of bacteriophage genetics. Note that the general concept of phage therapy should be developed to ensure long-term, efficient and harmless phage therapy.     

Phage Therapy in Terms of Bacteriophage Genetics: Hopes, Prospects, Safety, Limitations

The appearance and spreading of multidrug-resistant bacterial pathogens is a consequence of the large-scale use of antibiotics in medicine. In view of this, claims for the phage therapy were renewed: in recent studies, the natural phages and their products neutralizing various proteins, as well as the bacterial products often controlled by defective prophages (bacteriocins) were applied for treatment of bacterial infections. Constructs obtained by gene engineering are increasingly used to change bacteriophage properties to expand the spectrum of their lytic activity and to eliminate therapeutic drawbacks of some natural phages. In this review, the problem of phage therapy is discussed in general with respect to bacteriophage properties, their genetics, structure, evolution, taking into account long-term experience of the author in the field of bacteriophage genetics. Note that the general concept of phage therapy should be developed to ensure long-term, efficient and harmless phage therapy.     

A generalized combinatorial approach for detecting gene-by-gene and gene-by-environment interactions with application to nicotine dependence

The determination of gene-by-gene and gene-by-environment interactions has long been one of the greatest challenges in genetics. The traditional methods are typically inadequate because of the problem referred to as the "curse of dimensionality." Recent combinatorial approaches, such as the multifactor dimensionality reduction (MDR) method, the combinatorial partitioning method, and the restricted partition method, have a straightforward correspondence to the concept of the phenotypic landscape that unifies biological, statistical genetics, and evolutionary theories. However, the existing approaches have several limitations, such as not allowing for covariates, that restrict their practical use. In this study, we report a generalized MDR (GMDR) method that permits adjustment for discrete and quantitative covariates and is applicable to both dichotomous and continuous phenotypes in various population-based study designs. Computer simulations indicated that the GMDR method has superior performance in its ability to identify epistatic loci, compared with current methods in the literature. We applied our proposed method to a genetics study of four genes that were reported to be associated with nicotine dependence and found significant joint action between CHRNB4 and NTRK2. Moreover, our example illustrates that the newly proposed GMDR approach can increase prediction ability, suggesting that its use is justified in practice. In summary, GMDR serves the purpose of identifying contributors to population variation better than do the other existing methods.     

Some reflections on microbial competitiveness among heterotrophic bacteria

The results of a large number of studies on microorganisms subjected to various degrees of substrate limitation have led to the idea that many species are particularly well adapted to growth at a very low rate at extremely low nutrient concentrations. The possible similarity between this type of bacteria and oligotrophic species is discussed. Some attention is paid to the problem of predicting the competitiveness of microbial species. To this end the apparent specific affinity of an organism for a given substrate is discussed in some detail. It is attempted to bring terminology used in describing this parameter in line with that commonly used in microbial physiology and ecology. Using one particular field study as an example the possible usefulness and limitations of this concept in field studies are discussed.     

表遗传学推动新一轮遗传学的发展

科学的发展孕育着突破,表遗传学研究推动着新一轮的遗传学的发展。表遗传学是研究没有DNA序列变化的、可遗传的表达改变。表遗传学不仅对医学和农业有重要的实践意义,而且还提供了理解遗传和进化的新观点。研究表明,人类基因组含有两类遗传信息,遗传学信息提供了合成生命所必需蛋白质的模板,而表遗传学信息提供了何时、何地和怎样地应用遗传学信息的指令;遗传学和表遗传学的关系有如“阴阳”,它们既相区别又协同参与调节生命活动。同时还讨论了基因的概念、进化和epigenetics的中文译名等问题。表遗传学研究应引起国内学术界的关注。Abstract: Scientific development is pregnant with a breakthrough, epigenetic studies are pushing the genetics forward. Epigenetics is the study of heritable changes in gene expression that occurs without a change in DNA sequence. Epigenetics not only has practical significance for medicine and agriculture, but also provides new views on understanding heredity and evolution. Human genome contains information in two forms: the genetic information provides the blueprint for the manufacture of all the proteins necessary to create a living thing while the epigenetic information provides instructions on how, where, and when the genetic information should be used. The interrelationship of genetics and epigenetics is like a yin-yan, they are different from each other, and cooperatively take part in regulation of a variety of living activities. In this paper concept of gene and problems of evolution has been also discussed according to epigenetic viewpoints.     

MAXAMIZE. A DNA sequencing strategy advisor.

The MAXAMIZE advisory system determines from user-provided restriction maps an optimal strategy to do nucleotide sequencing by methods involving end-labeled fragments. The maps may be either simple linear restriction maps of fragments or complex circular maps including restriction sites of a vector. The whole system is interactive and is written in the Genetic English language provided by the GENESIS System, a molecular genetics knowledge representation and manipulation package. In addition, MAXAMIZE provides bookkeeping facilities for sequencing and offers advise on how to verify the newly obtained sequence data.     

Quantitative concept mapping in pulmonary physiology: comparison of student and faculty knowledge structures

Quantitative concept mapping, in contrast with qualitative approaches, is rigorous scientifically and permits statistical analyses of data about concept learning. This study extends past quantitative research on the structure of student concept learning in pulmonary physiology. Pathfinder scaling is used to derive concept maps for medical and veterinary students and their physiology instructors at Northwestern University and the University of Wisconsin, respectively. The concept maps are evaluated for coherence (internal consistency), student-instructor similarity, and correlation of similarity with final examination scores. Results show that student and instructor concept maps are coherent and that student concept maps become increasingly similar to instructors' concept maps from pre- to postinstruction, but that student-instructor concept map similarity does not correlate with examination performance. Research outcomes are discussed concerning possible sources of variation in student and faculty knowledge structures.     

Artificial neural networks: fundamentals, computing, design, and application

Artificial neural networks (ANNs) are relatively new computational tools that have found extensive utilization in solving many complex real-world problems. The attractiveness of ANNs comes from their remarkable information processing characteristics pertinent mainly to nonlinearity, high parallelism, fault and noise tolerance, and learning and generalization capabilities. This paper aims to familiarize the reader with ANN-based computing (neurocomputing) and to serve as a useful companion practical guide and toolkit for the ANNs modeler along the course of ANN project development. The history of the evolution of neurocomputing and its relation to the field of neurobiology is briefly discussed. ANNs are compared to both expert systems and statistical regression and their advantages and limitations are outlined. A bird's eye review of the various types of ANNs and the related learning rules is presented, with special emphasis on backpropagation (BP) ANNs theory and design. A generalized methodology for developing successful ANNs projects from conceptualization, to design, to implementation, is described. The most common problems that BPANNs developers face during training are summarized in conjunction with possible causes and remedies. Finally, as a practical application, BPANNs were used to model the microbial growth curves of S. flexneri. The developed model was reasonably accurate in simulating both training and test time-dependent growth curves as affected by temperature and pH.     

Genetics: still a discipline?

In the institutional sense of the term "discipline" (laboratories, societies, congresses, curricula, etc.), genetics remains a discipline. In the intellectual sense of the term (consensus on a definite array of concepts, methods and theoretical purposes), it is doubtful that genetics is still a discipline. At first, molecular biology seemed to have introduced an unequivocal structural (or molecular) definition of the gene: a definite sequence of nucleotides that code for a protein. In fact, as it appears in retrospect, this was not the case. Even in 1961, when Jacob and Monod proposed their first model of genetic regulation in bacteria, there was no possibility of constructing a non equivocal concept of the gene. More recent developments in molecular genetics have made this situation worse. There is no possible definition of the gene as a general category. The reasons why biologists keep the word are pragmatic rather than theoretical: communication among scientists, economic interests and ideology.     

Using flow cytometry to quantify microbial heterogeneity

Flow cytometry is a powerful technique for the study of single cells, and thus it is of particular utility in the study of heterogeneity in microbial populations. This review seeks to highlight the role of flow cytometric analyses in studies of microbial heterogeneity, drawing wherever possible on recently published research articles. Whilst microbial heterogeneity is well documented in both natural and laboratory environments, the underlying causes are less well understood. Possible sources for the heterogeneity that is observed in microbial systems are discussed, together with the flow cytometric tools that aid its study. The role of flow cytometry in molecular biology is discussed with reference to gene reporter systems, which enable heterogeneity of gene expression to be monitored. With the recent sequencing of a variety of microbial genomes, it is anticipated that flow cytometry will have an increasing role to play in studying the effects of gene expression and mutation on heterogeneity, and in resolving the interactions of genetics and physiology.     

Multiple sequence alignment: Algorithms and applications

Elucidation of interrelationships among sequence, structure, function, and evolution (FESS relationships) of a family of genes or gene products is a central theme of modern molecular biology. Multiple sequence alignment has been proven to be a powerful tool for many fields of studies such as phylogenetic reconstruction, illumination of functionally important regions, and prediction of higher order structures of proteins and RNAs. However, it is far too trivial to automatically construct a multiple alignment from a set of related sequences. A variety of methods for solving this computationally difficult problem are reviewed. Several important applications of multiple alignment for elucidation of the FESS relationships are also discussed.For a long period, progressive methods have been the only practical means to solve a multiple alignment problem of appreciable size. This situation is now changing with the development of new techniques including several classes of iterative methods. Today's progress in multiple sequence alignment methods has been made by the multidisciplinary endeavors of mathematicians, computer scientists, and biologists in various fields including biophysicists in particular. The ideas are also originated from various backgrounds, pure algorithmics, statistics, thermodynamics, and others. The outcomes are now enjoyed by researchers in many fields of biological sciences.In the near future, generalized multiple alignment may play a central role in studies of FESS relationships. The organized mixture of knowledge from multiple fields will ferment to develop fruitful results which would be hard to obtain within each area. I hope this review provides a useful information resource for future development of theory and practice in this rapidly expanding area of bioinformatics.     

Detection and amplification systems for sensitive, multiple-target DNA and RNA in situ hybridization: looking inside cells with a spectrum of colors

In situ hybridization (ISH) is a powerful technique for localizing specific nucleic acid sequences (DNA, RNA) in microscopic preparations of tissues, cells, chromosomes, and linear DNA fibers. To date, a wide variety of research and diagnostic applications of ISH have been described, making the technique an integral part of studies concerning gene mapping, gene expression, RNA processing and transport, the three-dimensional organization of the nucleus, tumor genetics, microbial infections, and prenatal diagnosis. In this review, I first describe the ISH procedure in short and then focus on the currently available non-radioactive probe-labeling and cytochemical detection methodologies that are utilized to visualize one or multiple different nucleic acid targets in situ with different colors. Special emphasis is placed on the procedures applying fluorescence and brightfield microscopy, the simultaneous detection of nucleic acids and proteins by combined ISH and immunocytochemistry, and, in addition, on the recent progress that has been made with the introduction of signal amplification procedures to increase the detection sensitivity of ISH. Finally, a comparison of fluorescence, enzyme cytochemical, and colloidal gold silver probe detection systems will be presented, and possible future directions of in situ nucleic acid detection will be discussed. Accepted: 9 June 1999     

The role of microorganisms in mediating and facilitating the uptake of plant nutrients from soil

Summary No root systems in nature are without a microbial population. These may be freeliving or symbiotic.The incidence and nutrition of the freeliving microorganisms is discussed. Shortage of substrate makes it unlikely that the N-fixers in the population can fix useful amounts of N. There is a possibility that P supply is improved, but an analysis of possible processes shows them to be rather unlikely, and evidence for them to be poor. Manganese and iron uptake can be altered by microbial activity. Growth of plants can be affected by non-nutritional bacterial effects.The ecology of Rhizobium in the soil is briefly discussed, and the varying needs of different identified strains is stressed.Mycorrhizal infection of plants leads to large growth increases in appropriate conditions. This is almost always linked to increased P uptake, but zinc and copper nutrition can also be improved. The processes involved are briefly discussed. Rapid and extensive infection is important; it is very sensitive to temperature. New modelling methods are now becoming available to measure the behaviour of the fungal infections. The microorganisms require C compounds from the plant, and new measurements of this cost are discussed. The possibility of practical use of mycorrhizal fungi seem to be improving.Keynote address     

Reconsideration of the derivation of Most Probable Numbers,their standard deviations,confidence bounds and rarity values

Aims: The purpose of this work was to derive a simple Excel spreadsheet and a set of standard tables of most probable number (MPN) values that can be applied by users of International Standard Methods to obtain the same output values for MPN, SD of the MPN, 95% confidence limits and test validity. With respect to the latter, it is considered that the Blodgett concept of ‘rarity’ is more valuable than the frequently used approach of improbability (vide de Man). Methods and Results: The paper describes the statistical procedures used in the work and the reasons for introducing a new set of conceptual and practical approaches to the determination of MPNs and their parameters. Examples of MPNs derived using these procedures are provided. The Excel spreadsheet can be downloaded from http://www.wiwiss.fu‐berlin.de/institute/iso/mitarbeiter/wilrich/index.html . Conclusions: The application of the revised approach to the determination of MPN parameters permits those who wish to use tabulated values, and those who require access to a simple spreadsheet to determine values for nonstandard test protocols, to obtain the same output values for any specific set of multiple test results. The concept of ‘rarity’ is a more easily understood parameter to describe test result combinations that are not statistically valid. Provision of the SD of the log MPN value permits derivation of uncertainty parameters that have not previously been possible. Significance and Impact of the Study: A consistent approach for the derivation of MPNs and their parameters is essential for coherence between International Standard Methods. It is intended that future microbiology standard methods will be based on the procedures described in this paper.     

Microbial ecology in the age of genomics and metagenomics: concepts, tools, and recent advances

Microbial ecology examines the diversity and activity of micro-organisms in Earth's biosphere. In the last 20 years, the application of genomics tools have revolutionized microbial ecological studies and drastically expanded our view on the previously underappreciated microbial world. This review first introduces the basic concepts in microbial ecology and the main genomics methods that have been used to examine natural microbial populations and communities. In the ensuing three specific sections, the applications of the genomics in microbial ecological research are highlighted. The first describes the widespread application of multilocus sequence typing and representational difference analysis in studying genetic variation within microbial species. Such investigations have identified that migration, horizontal gene transfer and recombination are common in natural microbial populations and that microbial strains can be highly variable in genome size and gene content. The second section highlights and summarizes the use of four specific genomics methods (phylogenetic analysis of ribosomal RNA, DNA-DNA re-association kinetics, metagenomics, and micro-arrays) in analysing the diversity and potential activity of microbial populations and communities from a variety of terrestrial and aquatic environments. Such analyses have identified many unexpected phylogenetic lineages in viruses, bacteria, archaea, and microbial eukaryotes. Functional analyses of environmental DNA also revealed highly prevalent, but previously unknown, metabolic processes in natural microbial communities. In the third section, the ecological implications of sequenced microbial genomes are briefly discussed. Comparative analyses of prokaryotic genomic sequences suggest the importance of ecology in determining microbial genome size and gene content. The significant variability in genome size and gene content among strains and species of prokaryotes indicate the highly fluid nature of prokaryotic genomes, a result consistent with those from multilocus sequence typing and representational difference analyses. The integration of various levels of ecological analyses coupled to the application and further development of high throughput technologies are accelerating the pace of discovery in microbial ecology.     

环境微生物群落结构与功能多样性研究方法

微生物群落的结构及群落内种间相互作用是影响其生态功能的决定性因素。尽管微生物群落是地球生物化学循环的主要驱动者,但是由于传统的微生物培养方法只能分离约1%10%的环境微生物,对复杂的环境微生物群落结构和功能多样性了解甚少。元基因组学、单细胞分析和群落遗传学等方法的出现,及其与微生物学的交叉融合,使得人们能够从微生物群落组成、物种功能、种间相互作用和预测模型等方面分析微生物群落。重点综述了元基因组学、单细胞分析和群落遗传学等方法及其在环境微生物群落结构和功能多样性中的应用进展。     

DegePrime,a Program for Degenerate Primer Design for Broad-Taxonomic-Range PCR in Microbial Ecology Studies

The taxonomic composition of a microbial community can be deduced by analyzing its rRNA gene content by, e.g., high-throughput DNA sequencing or DNA chips. Such methods typically are based on PCR amplification of rRNA gene sequences using broad-taxonomic-range PCR primers. In these analyses, the use of optimal primers is crucial for achieving an unbiased representation of community composition. Here, we present the computer program DegePrime that, for each position of a multiple sequence alignment, finds a degenerate oligomer of as high coverage as possible and outputs its coverage among taxonomic divisions. We show that our novel heuristic, which we call weighted randomized combination, performs better than previously described algorithms for solving the maximum coverage degenerate primer design problem. We previously used DegePrime to design a broad-taxonomic-range primer pair that targets the bacterial V3-V4 region (341F-805R) (D. P. Herlemann, M. Labrenz, K. Jurgens, S. Bertilsson, J. J. Waniek, and A. F. Andersson, ISME J. 5:1571–1579, 2011, http://dx.doi.org/10.1038/ismej.2011.41), and here we use the program to significantly increase the coverage of a primer pair (515F-806R) widely used for Illumina-based surveys of bacterial and archaeal diversity. By comparison with shotgun metagenomics, we show that the primers give an accurate representation of microbial diversity in natural samples.