Directional asymmetry of long-distance dispersal and colonization could mislead reconstructions of biogeography

Aim Phylogenies are increasingly being used to attempt to answer biogeographical questions. However, a reliance on tree topology alone has emerged without consideration of earth processes or the biology of the organisms in question. Most ancestral‐state optimization methods have inherent problems, including failure to take account of asymmetry, such as unequal probabilities of losses and gains, and the lack of use of independent cost estimates. Here we discuss what we perceive as shortcomings in most current tree‐based biogeography interpretation methods and show that consideration of processes and their likelihoods can turn the conventional biogeographical interpretation on its head. Location Southern hemisphere focus but applicable world‐wide. Methods The logic of existing methods is reviewed with respect to their adequacy in modelling processes such as geographical mode of speciation and likelihood of dispersal, including directional bias. Published reconstructions of dispersal of three plant taxa between Australia and New Zealand were re‐analysed using standard parsimony and maximum likelihood (ML) methods with rate matrices to model expected asymmetry of dispersal. Results Few studies to date incorporate asymmetric dispersal rate matrices or question the simplistic assumption of equal costs. Even when they do, cost matrices typically are not derived independently of tree topology. Asymmetrical dispersal between Australia and New Zealand could be reconstructed using parsimony but not with ML. Main conclusions The inadequacy of current models has important consequences for our interpretation of southern hemisphere biogeography, particularly in relation to dispersal. For example, if repeated directional dispersals and colonization in the direction of prevailing winds have occurred, with intervening periods of speciation, then there is no need to infer dispersals against those winds. Failure to take account of directionality and other biases in reconstruction methods has implications beyond the simple misinterpretation of the biogeography of a taxonomic group, such as calibration of molecular clocks, the dating of vicariance events, and the prioritization of areas for conservation.     

GenNon-h: Generating multiple sequence alignments on nonhomogeneous phylogenetic trees

ABSTRACT: BACKGROUND: A number of software packages are available to generate DNA multiple sequence alignments (MSAs) evolved under continuous-time Markov processes on phylogenetic trees. On the other hand, methods of simulating the DNA MSA directly from the transition matrices do not exist. Moreover, existing software restricts to the time-reversible models and it is not optimized to generate nonhomogeneous data (i.e. placing distinct substitution rates at different lineages). RESULTS: We present the first package designed to generate MSAs evolving under discrete-time Markov processes on phylogenetic trees, directly from probability substitution matrices. Based on the input model and a phylogenetic tree in the Newick format (with branch lengths measured as the expected number of substitutions per site), the algorithm produces DNA alignments of desired length. GenNon-h is publicly available for download. CONCLUSION: The software presented here is an efficient tool to generate DNA MSAs on a given phylogenetic tree. GenNon-h provides the user with the nonstationary or nonhomogeneous phylogenetic data that is well suited for testing complex biological hypotheses, exploring the limits of the reconstruction algorithms and their robustness to such models.     

A review of non-invasive optical-based image analysis systems for continuous bioprocess monitoring

To observe and control cultivation processes, optical sensors are used increasingly. Important variables for controlling such processes are cell count, cell size distribution and the morphology of cells. Among turbidity measurement methods, imaging procedures are applied for determining these process values. A disadvantage of most previously developed imaging procedures is that they are only available offline, which requires sampling. On the other hand, available imaging inline probes can only deliver a limited number of process values so far. This contribution gives an overview of optical procedures for the inline determination of cell count, cell size distribution and other variables. In particular, by in situ microscopy, an imaging procedure will be described, which allows the determination of direct and non-direct cell variables in real time without sampling.     

Effect of hyperthermia on DNA loop-size in HeLa S3 cells

Nuclear matrices of heated and non-heated HeLa S3 cells were isolated and average DNA loop-sizes were compared. Heat treatment (30 min at 45 degrees C) resulted in an ultimate survival level of the cells of about 10 per cent. The loop-size determinations were done on nuclear material isolated from the cells directly after heat treatment. In the nuclear matrices isolated from the heated cells about 1.8 times more protein was bound as compared to the matrices from control cells. Enzymatic analysis using DNase I digestion, followed by centrifugation on neutral sucrose gradients, was performed. Also, halo visualization was combined with autoradiography. Both methods revealed no gross alterations in DNA loop-sizes. The possible function of DNA loop organization in the effect of hyperthermic interference with DNA-related processes is discussed.     

Phylin 2.0: Extending the phylogeographical interpolation method to include uncertainty and user‐defined distance metrics

Estimating geographical ranges of intra‐specific evolutionary lineages is crucial to the fields of biogeography, evolution, and biodiversity conservation. Models of isolation mechanisms often consider multiple distances in order to explain genetic divergence. Yet, the available methods to estimate the geographical ranges of lineages are based on direct geographical distances, neglecting other distance metrics that can better explain the spatial genetic structure. We extended the phylogeographical interpolation method (phylin ) in order to accommodate user‐defined distance metrics and to incorporate the uncertainty associated with genetic distance calculation. These new features were tested with simulated and empirical data sets. Multiple distance matrices were generated including geographical, resistance, and environmental distances to derive maps of lineage occurrence. The new additions to this method improved the ability to predict lineage occurrence, even with low sample size. We used a regression framework to quantify the relationship between the genetic divergence and competing distance matrices representing potential isolation processes that are subsequently used in the interpolation process. Including uncertainty in tree topology and the different distance matrices improved the robustness of the variograms, allowing a better fit of the theoretical model of spatial dependence. The improvements to the method increase its potential application in other fields. Accurately mapping genetic divergence can help to locate potential contact zones between lineages as well as barriers to gene flow, which has a broad interest in biogeographical and evolutionary studies. Additionally, conservation efforts could benefit from the integration of genetic variation and landscape features in a spatially explicit framework.     

Mineralizing matrices in the skeletal axes of two Corallium species (Alcyonacea)

Soluble organic matrices extracted from the axial part of the skeletons of two Corallium species (Coralliidae, Alcyonacea) were analysed using FTIR spectrometry, HPLC, IEF, 2-D gel electrophoresis and XANES. All these methods show that the main characteristics of the two matrices are similar, but not identical. Both matrices are composed of proteins and sugars; they are acidic with poorly separated molecular masses. The sugar contents are low, and the matrices do not seem highly glycosylated. The differences and similarities of these matrices are also observed in the minor element contents and in the micro- and nanostructures of the samples. These results confirm the control of the morphology and the chemical composition of calcitic biocrystals. Biomineralisation processes in Coralliidae are taxonomically significant, and differ from those of Scleractinia skeletons.     

Techniques for assessing 3-D cell–matrix mechanical interactions in vitro and in vivo

Cellular interactions with extracellular matrices (ECM) through the application of mechanical forces mediate numerous biological processes including developmental morphogenesis, wound healing and cancer metastasis. They also play a key role in the cellular repopulation and/or remodeling of engineered tissues and organs. While 2-D studies can provide important insights into many aspects of cellular mechanobiology, cells reside within 3-D ECMs in vivo, and matrix structure and dimensionality have been shown to impact cell morphology, protein organization and mechanical behavior. Global measurements of cell-induced compaction of 3-D collagen matrices can provide important insights into the regulation of overall cell contractility by various cytokines and signaling pathways. However, to understand how the mechanics of cell spreading, migration, contraction and matrix remodeling are regulated at the molecular level, these processes must also be studied in individual cells. Here we review the evolution and application of techniques for imaging and assessing local cell–matrix mechanical interactions in 3-D culture models, tissue explants and living animals.     

Statistical potential-based amino acid similarity matrices for aligning distantly related protein sequences

Aligning distantly related protein sequences is a long-standing problem in bioinformatics, and a key for successful protein structure prediction. Its importance is increasing recently in the context of structural genomics projects because more and more experimentally solved structures are available as templates for protein structure modeling. Toward this end, recent structure prediction methods employ profile-profile alignments, and various ways of aligning two profiles have been developed. More fundamentally, a better amino acid similarity matrix can improve a profile itself; thereby resulting in more accurate profile-profile alignments. Here we have developed novel amino acid similarity matrices from knowledge-based amino acid contact potentials. Contact potentials are used because the contact propensity to the other amino acids would be one of the most conserved features of each position of a protein structure. The derived amino acid similarity matrices are tested on benchmark alignments at three different levels, namely, the family, the superfamily, and the fold level. Compared to BLOSUM45 and the other existing matrices, the contact potential-based matrices perform comparably in the family level alignments, but clearly outperform in the fold level alignments. The contact potential-based matrices perform even better when suboptimal alignments are considered. Comparing the matrices themselves with each other revealed that the contact potential-based matrices are very different from BLOSUM45 and the other matrices, indicating that they are located in a different basin in the amino acid similarity matrix space.     

LPA-stimulated fibroblast contraction of floating collagen matrices does not require Rho kinase activity or retraction of fibroblast extensions

Fibroblasts synthesize, organize, and maintain connective tissues during development and in response to injury and fibrotic disease. These morphogenetic processes depend on cell-matrix remodeling, which has been investigated using cells cultured in three-dimensional collagen matrices. The current studies were carried out to test the role of Rho kinase activity and retraction of fibroblast extensions on the matrix remodeling process. We found that remodeling (contraction) of floating collagen matrices stimulated by lysophosphatidic acid (LPA) did not require Rho kinase activity or retraction of fibroblast extensions. On the other hand, LPA-stimulated contraction of restrained matrices became Rho kinase dependent after the matrices were allowed to develop mechanical loading for 2-4 h, suggesting that the remodeling process itself was able to feed back to modulate cell behavior in an iterative process. Modulation was specific for LPA since fibroblast-collagen matrix contraction stimulated by platelet-derived growth factor was Rho kinase dependent before or after mechanical loading developed.     

Importance of correlations among matrix entries in stochastic models in relation to number of transition matrices

Stochastic matrix models are used to predict population viability and the risk of extinction. Different stochastic methods require different amounts of estimation effort and may lead to divergent estimates. We used 16 transition matrices collected from ten populations of the perennial herb Primula veris to compare population estimates produced by different stochastic methods, such as selection of matrices, selection of vital rates, selection of matrix elements, and Tuljapurkar's approximation. Specifically, we tested the reliability of the methods using different numbers of transition matrices, and examined the importance of correlations among matrix entries. When correlations among matrix entries were included in the models, selection of vital rates produced the lowest and Tuljapurkar's approximation produced the highest estimates of mean population growth rates. Selection of matrices and matrix elements often produced nearly similar population estimates. Simulations based on incompletely estimated correlations among matrix entries considerably differed from those based on all correlations estimated, particularly when correlations were strong. The magnitude of correlations among matrix entries depended on the number of matrices, which made it difficult to generalize correlations within a species. Given that selection of vital rates or matrix elements is used, correlations among matrix entries should usually be included in the model, and they should preferably be estimated from the present data rather than according to other information of the species.     

Imaging in vivo neuronal transport in genetic model organisms using microfluidic devices

Microfluidic devices have been developed for imaging behavior and various cellular processes in Caenorhabditis elegans, but not subcellular processes requiring high spatial resolution. In neurons, essential processes such as axonal, dendritic, intraflagellar and other long-distance transport can be studied by acquiring fast time-lapse images of green fluorescent protein (GFP)-tagged moving cargo. We have achieved two important goals in such in vivo studies namely, imaging several transport processes in unanesthetized intact animals and imaging very early developmental stages. We describe a microfluidic device for immobilizing C. elegans and Drosophila larvae that allows imaging without anesthetics or dissection. We observed that for certain neuronal cargoes in C. elegans, anesthetics have significant and sometimes unexpected effects on the flux. Further, imaging the transport of certain cargo in early developmental stages was possible only in the microfluidic device. Using our device we observed an increase in anterograde synaptic vesicle transport during development corresponding with synaptic growth. We also imaged Q neuroblast divisions and mitochondrial transport during early developmental stages of C. elegans and Drosophila, respectively. Our simple microfluidic device offers a useful means to image high-resolution subcellular processes in C. elegans and Drosophila and can be readily adapted to other transparent or translucent organisms.     

Lateralization of olfactory processes

Over the last ten years, methods of cerebral imaging have revolutionized our knowledge of cognitive processes in humans. An impressive number of papers dealing with cerebral imaging for olfaction have been published to date. Whereas the early works revealed those structures participating in the processing of odours presented passively to subjects, researchers later recorded brain activity when subjects performed specific olfactory tasks based on memory, emotion and identification. From these results, we suggest that there is a dissociation of olfactory processes, with involvement of the right hemisphere in memory processes and the left hemisphere in emotional processes. The review concludes with a summary of how these lateralized processes are consistent with the gestalt-nature of our olfactory perception.     

Platelet-derived growth factor stimulates the formation of versican-hyaluronan aggregates and pericellular matrix expansion in arterial smooth muscle cells

Hyaluronan and versican-rich pericellular matrices form around arterial smooth muscle cells (ASMC) preferentially during the detachment phase of proliferation and migration. PDGF is a potent mitogen and chemotactic agent for ASMC and also stimulates the production of extracellular matrix molecules which may regulate the proliferative and migratory capacity of the cells. We have examined the effect of PDGF on the formation of hyaluronan-dependent pericellular matrices, and on the synthesis and interaction of several major pericellular coat constituents. As demonstrated using a particle exclusion assay, PDGF stimulated the formation of pericellular matrices and was seen both in an increased proportion of cells with a coat and a greater coat size. This increase was accompanied by a transient increase in hyaluronan synthase 2 (HAS2) expression and an increase in hyaluronan synthesis and polymer length. PDGF also increased the synthesis of versican and link protein as measured at the mRNA and protein levels. The amount of native versican-hyaluronan aggregates and link-stabilized aggregate was also increased following PDGF treatment. Time lapse imaging showed that pericellular matrix formation occurred around trailing cell processes prior to their detachment. These data suggest that PDGF modulates the synthesis and organization of ASMC pericellular coat-forming molecules such as versican, hyaluronan, and link protein, which leads to extracellular matrix expansion and alterations in ASMC phenotype.     

TRPC5 channels undergo changes in gating properties during the activation-deactivation cycle

The goal of this study was to determine the morphological and sub-cellular mechanical effects of Rac activation on fibroblasts within 3-D collagen matrices. Corneal fibroblasts were plated at low density inside 100 microm thick fibrillar collagen matrices and cultured for 1-2 days in serum-free media. Time-lapse imaging was then performed using Nomarski DIC. After an acclimation period, perfusion was switched to media containing PDGF. In some experiments, Y-27632 or blebbistatin were used to inhibit Rho-kinase (ROCK) or myosin II, respectively. PDGF activated Rac and induced cell spreading, which resulted in an increase in cell length, cell area, and the number of pseudopodial processes. Tractional forces were generated by extending pseudopodia, as indicated by centripetal displacement and realignment of collagen fibrils. Interestingly, the pattern of pseudopodial extension and local collagen fibril realignment was highly dependent upon the initial orientation of fibrils at the leading edge. Following ROCK or myosin II inhibition, significant ECM relaxation was observed, but small displacements of collagen fibrils continued to be detected at the tips of pseudopodia. Taken together, the data suggests that during Rac-induced cell spreading within 3-D matrices, there is a shift in the distribution of forces from the center to the periphery of corneal fibroblasts. ROCK mediates the generation of large myosin II-based tractional forces during cell spreading within 3-D collagen matrices, however residual forces can be generated at the tips of extending pseudopodia that are both ROCK and myosin II-independent.     

Randomization Analyses: Mimicry, Geographic Variation and Cultural Evolution of Song in Brood-Parasitic Straw-Tailed Whydahs, Vidua fischeri

Although bird song has been an important model for investigating questions of behavior development, cultural evolution and population differentiation, the quantitative methods of analysis have been problematic. Here we develop and apply quantitative randomization methods to test hypotheses about these processes in a natural population of birds. Songs of the African brood-parasitic straw-tailed whydahs ( Vidua fischeri ) and songs of their host species, the purple grenadier ( Granatina ianthinogaster ), were compared in audiospectrograms for similarity to test the following hypotheses: Whydahs mimic the songs of their host species, they have local song dialects, neighboring males match their song themes, local males match the songs of local hosts, remote populations have different songs according to their geographic distance, and songs undergo cultural evolution over time across generations. Randomization analyses were completed using (1) Mantel matrix statistics and (2) tree-based measures employing Sankoff optimization of Manhattan matrices and approximate randomizations. Our results provide evidence for song mimicry, local song dialects, matching song themes between neighboring males, song matching of local whydah mimics and grenadier song models, correspondence of song differences and geographic distance, and cultural continuity with change in song traditions within a local population. These randomization methods may be useful in other studies of animal communication, and they are sufficiently general for use both with distance matrices derived either from naturalistic impressions of song similarity as in our example or from acoustic measurements.     

分子成像及其应用

分子成像是近来新出现并迅速发展的一个生物医学领域,用它来显示和测定活体内生物过程在细胞和分子水平上的特征,可为深入揭示生理和病理过程的机制,以及对疾病及其治疗进行实时、动态、细致、无创、靶向性的探测和跟踪提供有效手段。预计在不远的将来,分子成像技术的迅速发展可能会带来临床医疗的重大变革。本文就分子成像及其应用作一综述。     

Type-specific collagen degradation by eosinophils.

Despite the association of eosinophils with wound-healing and fibrotic processes, their collagenolytic ability has been poorly defined. By using highly purified eosinophil preparations (greater than 95% eosinophils) obtained from guinea-pigs by peritoneal lavage, we have examined type-specific collagen degradation by eosinophils using sensitive detection methods. The results show that eosinophils contain a metalloprotein that degrades types I and III collagens. This activity was apparent only after the addition of 4-aminophenylmercuric acetate to the reaction mixture, a finding similar to that for latent collagenases described from other sources. No collagenolytic activity against types IV and V collagens could be detected. Thus eosinophils may play a role in the alterations in connective-tissue matrices seen in physiological and pathological states.