HIV-specific probabilistic models of protein evolution

Comparative sequence analyses, including such fundamental bioinformatics techniques as similarity searching, sequence alignment and phylogenetic inference, have become a mainstay for researchers studying type 1 Human Immunodeficiency Virus (HIV-1) genome structure and evolution. Implicit in comparative analyses is an underlying model of evolution, and the chosen model can significantly affect the results. In general, evolutionary models describe the probabilities of replacing one amino acid character with another over a period of time. Most widely used evolutionary models for protein sequences have been derived from curated alignments of hundreds of proteins, usually based on mammalian genomes. It is unclear to what extent these empirical models are generalizable to a very different organism, such as HIV-1-the most extensively sequenced organism in existence. We developed a maximum likelihood model fitting procedure to a collection of HIV-1 alignments sampled from different viral genes, and inferred two empirical substitution models, suitable for describing between-and within-host evolution. Our procedure pools the information from multiple sequence alignments, and provided software implementation can be run efficiently in parallel on a computer cluster. We describe how the inferred substitution models can be used to generate scoring matrices suitable for alignment and similarity searches. Our models had a consistently superior fit relative to the best existing models and to parameter-rich data-driven models when benchmarked on independent HIV-1 alignments, demonstrating evolutionary biases in amino-acid substitution that are unique to HIV, and that are not captured by the existing models. The scoring matrices derived from the models showed a marked difference from common amino-acid scoring matrices. The use of an appropriate evolutionary model recovered a known viral transmission history, whereas a poorly chosen model introduced phylogenetic error. We argue that our model derivation procedure is immediately applicable to other organisms with extensive sequence data available, such as Hepatitis C and Influenza A viruses.     

Visual perception of rigidity of solid shape

Summary Organisms react to objective properties of bodies in their visual field instead of to the perpetually changing retinal images of those bodies. We show how such a faculty can be mechanized. The organism synthesizes an internal model of the external object, that is a bundle of expectations of how the visual input will transform in response to the organism's exploratory movements. We deduce the necessary structure of the internal model and we show how the organism can extract this structure from the invariant features of the sensory input transformations. With this internal model it is possible to predict the subsequent aspects (contours) of the visual object as the spatial relations of organism and object change.     

鸡基因组计划及在遗传学研究中的应用

鸡,以其独特的生物学特性,成为研究许多生物学问题的重要模式生物。而在长期选育中形成的肉鸡和蛋鸡两大品系则是研究许多遗传性状的分子机制的理想模型。鸡基因组计划的完成,极大推动了以鸡作为模式生物的研究与开发工作。本文重点介绍了鸡基因组学的研究进展,和利用基因组相关信息对鸡的不同品系的数量性状进行遗传学研究的方法策略;并阐明了以鸡作为模式生物,利用基因组学的信息进行发育和遗传学研究的广阔前景。     

Fundulus as the premier teleost model in environmental biology: opportunities for new insights using genomics

A strong foundation of basic and applied research documents that the estuarine fish Fundulus heteroclitus and related species are unique laboratory and field models for understanding how individuals and populations interact with their environment. In this paper we summarize an extensive body of work examining the adaptive responses of Fundulus species to environmental conditions, and describe how this research has contributed importantly to our understanding of physiology, gene regulation, toxicology, and ecological and evolutionary genetics of teleosts and other vertebrates. These explorations have reached a critical juncture at which advancement is hindered by the lack of genomic resources for these species. We suggest that a more complete genomics toolbox for F. heteroclitus and related species will permit researchers to exploit the power of this model organism to rapidly advance our understanding of fundamental biological and pathological mechanisms among vertebrates, as well as ecological strategies and evolutionary processes common to all living organisms.     

Model organisms in molecular nutrition research

The complexity of food organism interactions necessitates the use of model organisms to understand physiological and pathological processes. In nutrition research, model organisms were initially used to understand how macro and micronutrients are handled in the organism. Currently, in nutritional systems biology, models of increasing complexity are needed in order to determine the global organisation of a biological system and the interaction with food and food components. Originally driven by genetics, certain model organisms have become most prominent. Model organisms are more accessible systems than human beings and include bacteria, yeast, flies, worms, and mammals such as mice. Here, the origin and the reasons to become the most prominent models are presented. Moreover, their applicability in molecular nutrition research is illustrated with selected examples.     

Morphologically-structured models of growing budding yeast populations

It has been well recognized that many key aspects of cell cycle regulation are encoded into the size distributions of growing budding yeast populations due to the tight coupling between cell growth and cell division present in this organism. Several attempts have been made to model the cell size distribution of growing yeast populations in order to obtain insight on the underlying control mechanisms, but most were based on the age structure of asymmetrically dividing populations. Here we propose a new framework that couples a morphologically-structured representation of the population with population balance theory to formulate a dynamic model for the size distribution of growing yeast populations. An advantage of the presented framework is that it allows derivation of simpler models that are directly identifiable from experiments. We show how such models can be derived from the general framework and demonstrate their utility in analyzing yeast population data. Finally, by employing a recently proposed numerical scheme, we proceed to integrate numerically the full distributed model to provide predictions of dynamics of the cell size structure of growing yeast populations.     

A mathematical framework for modelling cambial surface evolution using a level set method

Background and Aims

During their lifetime, tree stems take a series of successive nested shapes. Individual tree growth models traditionally focus on apical growth and architecture. However, cambial growth, which is distributed over a surface layer wrapping the whole organism, equally contributes to plant form and function. This study aims at providing a framework to simulate how organism shape evolves as a result of a secondary growth process that occurs at the cellular scale.

Methods

The development of the vascular cambium is modelled as an expanding surface using the level set method. The surface consists of multiple compartments following distinct expansion rules. Growth behaviour can be formulated as a mathematical function of surface state variables and independent variables to describe biological processes.

Key Results

The model was coupled to an architectural model and to a forest stand model to simulate cambium dynamics and wood formation at the scale of the organism. The model is able to simulate competition between cambia, surface irregularities and local features. Predicting the shapes associated with arbitrarily complex growth functions does not add complexity to the numerical method itself.

Conclusions

Despite their slenderness, it is sometimes useful to conceive of trees as expanding surfaces. The proposed mathematical framework provides a way to integrate through time and space the biological and physical mechanisms underlying cambium activity. It can be used either to test growth hypotheses or to generate detailed maps of wood internal structure.     

Mutant mice: Experimental organisms as materialised models in biomedicine

Animal models have received particular attention as key examples of material models. In this paper, we argue that the specificities of establishing animal models—acknowledging their status as living beings and as epistemological tools—necessitate a more complex account of animal models as materialised models. This becomes particularly evident in animal-based models of diseases that only occur in humans: in these cases, the representational relation between animal model and human patient needs to be generated and validated. The first part of this paper presents an account of how disease-specific animal models are established by drawing on the example of transgenic mice models for Alzheimer’s disease. We will introduce an account of validation that involves a three-fold process including (1) from human being to experimental organism; (2) from experimental organism to animal model; and (3) from animal model to human patient. This process draws upon clinical relevance as much as scientific practices and results in disease-specific, yet incomplete, animal models. The second part of this paper argues that the incompleteness of models can be described in terms of multi-level abstractions. We qualify this notion by pointing to different experimental techniques and targets of modelling, which give rise to a plurality of models for a specific disease.     

Evidence for Two Extremes of Ciliary Motor Response in a Single Swimming Microorganism

Because arrays of motile cilia drive fluids for a range of processes, the versatile mechano-chemical mechanism coordinating them has been under scrutiny. The protist Paramecium presents opportunities to compare how groups of cilia perform two distinct functions, swimming propulsion and nutrient uptake. We present how the body cilia responsible for propulsion and the oral-groove cilia responsible for nutrient uptake respond to changes in their mechanical environment accomplished by varying the fluid viscosity over a factor of 7. Analysis with a phenomenological model of trajectories of swimmers made neutrally buoyant with magnetic forces combined with high-speed imaging of ciliary beating reveal that the body cilia exert a nearly constant propulsive force primarily by reducing their beat frequency as viscosity increases. By contrast, the oral-groove cilia beat at a nearly constant frequency. The existence of two extremes of motor response in a unicellular organism prompts unique investigations of factors controlling ciliary beating.     

Evidence for Two Extremes of Ciliary Motor Response in a Single Swimming Microorganism

Because arrays of motile cilia drive fluids for a range of processes, the versatile mechano-chemical mechanism coordinating them has been under scrutiny. The protist Paramecium presents opportunities to compare how groups of cilia perform two distinct functions, swimming propulsion and nutrient uptake. We present how the body cilia responsible for propulsion and the oral-groove cilia responsible for nutrient uptake respond to changes in their mechanical environment accomplished by varying the fluid viscosity over a factor of 7. Analysis with a phenomenological model of trajectories of swimmers made neutrally buoyant with magnetic forces combined with high-speed imaging of ciliary beating reveal that the body cilia exert a nearly constant propulsive force primarily by reducing their beat frequency as viscosity increases. By contrast, the oral-groove cilia beat at a nearly constant frequency. The existence of two extremes of motor response in a unicellular organism prompts unique investigations of factors controlling ciliary beating.     

Active site of trypanothione reductase. A target for rational drug design.

The X-ray crystal structure of the enzyme trypanothione reductase, isolated from the trypanosomatid organism Crithidia fasciculata, has been solved by molecular replacement. The search model was the crystal structure of human glutathione reductase that shares approximately 40% sequence identity. The trypanosomal enzyme crystallizes in the tetragonal space group P4(1) with unit cell lengths of a = 128.9 A and c = 92.3 A. The asymmetric unit consists of a homodimer of approximate molecular mass 108 kDa. We present the structural detail of the active site as derived from the crystallographic model obtained at an intermediate stage of the analysis using diffraction data to 2.8 A resolution with an R-factor of 23.2%. This model has root-mean-square deviations from ideal geometry of 0.026 A for bond lengths and 4.7 degrees for bond angles. The trypanosomid enzyme assumes a similar biological function to glutathione reductase and, although similar in topology to human glutathione reductase, has an enlarged active site and a number of amino acid differences, steric and electrostatic, which allows it to process only the unique substrate trypanothione and not glutathione. This protein represents a prime target for chemotherapy of several debilitating tropical diseases caused by protozoan parasites belonging to the genera Trypanosoma and Leishmania. The structural differences between the parasite and host enzymes and their substrates thus provides a rational basis for the design of new drugs active against trypanosomes. In addition, our model explains the results of site-directed mutagenesis experiments, carried out on recombinant trypanothione reductase and glutathione reductases, designed by consideration of the crystal structure of human glutathione reductase.     

果蝇在肿瘤学研究中的优势及应用前景

果蝇作为研究人类疾病的模式生物, 与哺乳动物不仅在基本的生物学、生理学和神经系统机能等方面比较相似, 而且果蝇有其作为模式生物的独特优势。近年来的研究表明, 果蝇和人类在肿瘤发生信号通路等方面的保守性很高, 而且果蝇具有很强的遗传学可操作性, 是肿瘤学研究有效的模型之一, 可用于研究人类肿瘤发生、发展、转移等分子机制。文章综述了果蝇在肿瘤学研究中的优势、已建立的用于研究特定癌症的果蝇模型, 并对其在未来肿瘤学的研究方向进行展望, 以期为国内肿瘤学研究和抗肿瘤药物的研发提供参考。     

Characterization of the Streptococcus adjacens group antigen structure.

Serological classification of bacteria requires the presence of an antigen unique to the organism of interest. Streptococci are serologically differentiated by group antigens, many of which are carbohydrates, although some are amphiphiles. This report describes the chemical characterization of the Streptococcus adjacens group antigen structure. Previous studies demonstrated that the amphiphile contained phosphorus, ribitol, galactose, galactosamine, alanine, and fatty acids. Phosphodiester bonds present in the purified group antigen were identified as part of a poly(ribitol phosphate), since ribitol phosphate was the only organic phosphate detected after acid hydrolysis. Hydrofluoric acid cleavage of the phosphodiester bonds generated oligosaccharide repeating units. Gas chromatography-mass spectrometric analysis of the methylated, acetylated oligosaccharide suggested that the repeating unit is a trisaccharide of Galp beta 1-3Galp beta 1-4GalNac with N-acetylgalactosamine attached in beta-linkage to either the number two or the number four carbon of ribitol. The lipid- and carbohydrate-substituted poly(ribitol phosphate) of the S. adjacens group antigen therefore is a unique amphiphile structure, differing in its repeating-unit structure from the polyglycerophosphate structure of the more common gram-positive amphiphile lipoteichoic acid.     

Dictyostelium discoideum as a non-mammalian biomedical model

Dictyostelium discoideum is one of eight non-mammalian model organisms recognized by the National Institute of Health for the study of human pathology. The use of this slime mould is possible owing to similarities in cell structure, behaviour and intracellular signalling with mammalian cells. Its haploid set of chromosomes completely sequenced amenable to genetic manipulation, its unique and short life cycle with unicellular and multicellular stages, and phenotypic richness encoding many human orthologues, make Dictyostelium a representative and simple model organism to unveil cellular processes in human disease. Dictyostelium studies within the biomedical field have provided fundamental knowledge in the areas of bacterial infection, immune cell chemotaxis, autophagy/phagocytosis and mitochondrial and neurological disorders. Consequently, Dictyostelium has been used to the development of related pharmacological treatments. Herein, we review the utilization of Dictyostelium as a model organism in biomedicine.     

Connectivity of Caribbean coral populations: complementary insights from empirical and modelled gene flow

Understanding patterns of connectivity among populations of marine organisms is essential for the development of realistic, spatially explicit models of population dynamics. Two approaches, empirical genetic patterns and oceanographic dispersal modelling, have been used to estimate levels of evolutionary connectivity among marine populations but rarely have their potentially complementary insights been combined. Here, a spatially realistic Lagrangian model of larval dispersal and a theoretical genetic model are integrated with the most extensive study of gene flow in a Caribbean marine organism. The 871 genets collected from 26 sites spread over the wider Caribbean subsampled 45.8% of the 1900 potential unique genets in the model. At a coarse scale, significant consensus between modelled estimates of genetic structure and empirical genetic data for populations of the reef-building coral Montastraea annularis is observed. However, modelled and empirical data differ in their estimates of connectivity among northern Mesoamerican reefs indicating that processes other than dispersal may dominate here. Further, the geographic location and porosity of the previously described east-west barrier to gene flow in the Caribbean is refined. A multi-prong approach, integrating genetic data and spatially realistic models of larval dispersal and genetic projection, provides complementary insights into the processes underpinning population connectivity in marine invertebrates on evolutionary timescales.     

Stages in the development of a model organism as a platform for mechanistic models in developmental biology: Zebrafish, 1970-2000

Model organisms became an indispensable part of experimental systems in molecular developmental and cell biology, constructed to investigate physiological and pathological processes. They are thought to play a crucial role for the elucidation of gene function, complementing the sequencing of the genomes of humans and other organisms. Accordingly, historians and philosophers paid considerable attention to various issues concerning this aspect of experimental biology. With respect to the representational features of model organisms, that is, their status as models, the main focus was on generalization of phenomena investigated in such experimental systems. Model organisms have been said to be models for other organisms or a higher taxon. This, however, presupposes a representation of the phenomenon in question. I will argue that prior to generalization, model organisms allow researchers to built generative material models of phenomena - structures, processes or the mechanisms that explain them - through their integration in experimental set-ups that carve out the phenomena from the whole organism and thus represent them. I will use the history of zebrafish biology to show how model organism systems, from around 1970 on, were developed to construct material models of molecular mechanisms explaining developmental or physiological processes.     

A Mechanistic Niche Model for Measuring Species' Distributional Responses to Seasonal Temperature Gradients

Niche theory is central to understanding how species respond geographically to climate change. It defines a species'' realized niche in a biological community, its fundamental niche as determined by physiology, and its potential niche—the fundamental niche in a given environment or geographic space. However, most predictions of the effects of climate change on species'' distributions are limited to correlative models of the realized niche, which assume that species are in distributional equilibrium with respect to the variables or gradients included in the model. Here, I present a mechanistic niche model that measures species'' responses to major seasonal temperature gradients that interact with the physiology of the organism. I then use lethal physiological temperatures to parameterize the model for bird species in North and South America and show that most focal bird species are not in direct physiological equilibrium with the gradients. Results also show that most focal bird species possess broad thermal tolerances encompassing novel climates that could become available with climate change. I conclude with discussion of how mechanistic niche models may be used to (i) gain insights into the processes that cause species to respond to climate change and (ii) build more accurate correlative distribution models in birds and other species.