p120-catenin binding masks an endocytic signal conserved in classical cadherins

p120-catenin (p120) binds to the cytoplasmic tails of classical cadherins and inhibits cadherin endocytosis. Although p120 regulation of cadherin internalization is thought to be important for adhesive junction dynamics, the mechanism by which p120 modulates cadherin endocytosis is unknown. In this paper, we identify a dual-function motif in classical cadherins consisting of three highly conserved acidic residues that alternately serve as a p120-binding interface and an endocytic signal. Mutation of this motif resulted in a cadherin variant that was both p120 uncoupled and resistant to endocytosis. In endothelial cells, in which dynamic changes in adhesion are important components of angiogenesis and inflammation, a vascular endothelial cadherin (VE-cadherin) mutant defective in endocytosis assembled normally into cell–cell junctions but potently suppressed cell migration in response to vascular endothelial growth factor. These results reveal the mechanistic basis by which p120 stabilizes cadherins and demonstrate that VE-cadherin endocytosis is crucial for endothelial cell migration in response to an angiogenic growth factor.     

A generalization of Pontryagin's maximum principle for dynamic evolutionary games among relatives

We present two theorems that generalize Pontryagin's maximum principle to the setting of dynamic evolutionary games between genetically related individuals. The two theorems correspond to two types of interactions among individuals: patch-structured populations in which individuals locally "play the field" and pairwise interactions. These generalizations can be used in the same way that Pontryagin's maximum principle is used and they are valid for diploid organisms under a single locus, diallelic genetic model. These generalizations involve an interesting, dynamic version of Hamilton's Rule from inclusive fitness theory. We illustrate how these theoretical results can be applied by modeling the evolution of lifetime resource allocation to growth and reproduction in an annual plant when there is competition for resources among related individuals.     

Expected relative fitness and the adaptive topography of fluctuating selection

Wright's adaptive topography describes gene frequency evolution as a maximization of mean fitness in a constant environment. I extended this to a fluctuating environment by unifying theories of stochastic demography and fluctuating selection, assuming small or moderate fluctuations in demographic rates with a stationary distribution, and weak selection among the types. The demography of a large population, composed of haploid genotypes at a single locus or normally distributed phenotypes, can then be approximated as a diffusion process and transformed to produce the dynamics of population size, N, and gene frequency, p, or mean phenotype, . The expected evolution of p or is a product of genetic variability and the gradient of the long-run growth rate of the population, , with respect to p or . This shows that the expected evolution maximizes , the mean Malthusian fitness in the average environment minus half the environmental variance in population growth rate. Thus, as a function of p or represents an adaptive topography that, despite environmental fluctuations, does not change with time. The haploid model is dominated by environmental stochasticity, so the expected maximization is not realized. Different constraints on quantitative genetic variability, and stabilizing selection in the average environment, allow evolution of the mean phenotype to undergo a stochastic maximization of . Although the expected evolution maximizes the long-run growth rate of the population, for a genotype or phenotype the long-run growth rate is not a valid measure of fitness in a fluctuating environment. The haploid and quantitative character models both reveal that the expected relative fitness of a type is its Malthusian fitness in the average environment minus the environmental covariance between its growth rate and that of the population.     

西南地区生态系统服务价值时空演变及模拟预测

生态系统服务价值(ESV)分析对构建生态安全格局和实现区域可持续发展具有决定作用,为揭示西南地区ESV过去-现在-未来时空演变规律,运用ESV计算体系对西南地区2005—2015ESV动态演变进行定量分析,采用Logistic-CA-Markov耦合模型预测2025年ESV格局。结果表明:(1)2005—2015年西南地区总体呈现增长的趋势,其值达到20.85亿元,主要受青海、西藏水域ESV增加所致,青海、西藏ESV增长率占绝对优势。(2)空间上呈现西北和东南部ESV高、北部ESV低的分布格局;不同类型和不同等级的ESV在空间上相互转换,低等级向高等级转化明显,其他生态景观向建设用地亏损流动减少的价值不足以抵消向水域流动增加的价值,盈利大于亏损,生态环境明显好转。(3)Logistic回归分析各生态景观的ROC值均大于0.87,拟合结果能够满足预测要求;CA-Markov模拟ESV空间布局,Kappa系数为0.86,可以在整体上较准确的反映其空间演变格局。(4)2015—2025年ESV空间演化表明西南地区各区域生态环境总体趋于良好,但建设用地增加的生态负效应不可忽视,还需合理进行用地布局。研究揭示了西南地区过去-现在-未来ESV时空演化规律,提供了长时间序列的时空演化图谱,对该地区实施卓有成效的生态规划及可持续发展提供了科技支撑和重要参考。     

3D joint dynamics analysis of healthy children's gait

The 3D joint moments and 2D joint powers have been largely explored in the literature of healthy children's gait, in particular to compare them with pathologic subjects’ gait. However, no study reported on 3D joint power in children which could be due to the difficulties in interpreting the results. Recently, the analysis of the 3D angle between the joint moment and the joint angular velocity vectors has been proposed in order to help 3D joint power interpretation.Our hypothesis is that this 3D angle may help in characterizing the level of gait maturation. The present study explores 3D joint moments, 3D joint power and the proposed 3D angle for both children's and adults’ gaits to highlight differences in the strategies used. The results seem to confirm that children have an alternative strategy of mainly ankle stabilization and hip propulsion compared to the adults’ strategy of mainly ankle resistance and propulsion and hip stabilization.In the future, the same 3D angle analysis should be applied to different age groups for better describing the evolution of the 3D joint dynamic strategies during the growth.     

Molecular evolution of poxviruses

Previous restriction fragment length polymorphism analysis divided variola virus (VARV) strains into two subtypes, one of which included West African and South American isolates. This allowed a dating to be introduced for the first time in estimation of the VARV evolution rate. The results were used to analyze the molecular evolution of the total family Poxviridae. Comparisons of the known nucleotide sequences were performed for the extended conserved central genome region in 42 orthopoxvirus strains and for the eight genes of multisubunit RNA polymerase in 65 viruses belonging to various genera of the family Poxviridae. Using the Bayesian dating method, the mutation accumulation rate of poxviruses was estimated at (1.7-8.8) x 10(-6) nucleotide substitutions per site per year. Computations showed that the modem poxvirus genera started diverging from an ancestral virus more than 200 thousand years ago and that an ancestor of the genus Orthopoxvirus emerged 131 +/- 45 thousand years ago. The other genera of mammalian poxviruses with a low GC content diverged approximately 110-90 thousand years ago. The independent evolution of VARV started 3.4 +/- 0.8 thousand years ago. It was shown with the example of VARV and the monkeypox virus (MPXV) that divergent evolution of these orthopoxviruses started and the West African subtypes of VARV and MPXV were formed as geographical conditions changed to allow isolation of West African animals from other African regions.     

Genetic control of organ shape and tissue polarity

The mechanisms by which genes control organ shape are poorly understood. In principle, genes may control shape by modifying local rates and/or orientations of deformation. Distinguishing between these possibilities has been difficult because of interactions between patterns, orientations, and mechanical constraints during growth. Here we show how a combination of growth analysis, molecular genetics, and modelling can be used to dissect the factors contributing to shape. Using the Snapdragon (Antirrhinum) flower as an example, we show how shape development reflects local rates and orientations of tissue growth that vary spatially and temporally to form a dynamic growth field. This growth field is under the control of several dorsoventral genes that influence flower shape. The action of these genes can be modelled by assuming they modulate specified growth rates parallel or perpendicular to local orientations, established by a few key organisers of tissue polarity. Models in which dorsoventral genes only influence specified growth rates do not fully account for the observed growth fields and shapes. However, the data can be readily explained by a model in which dorsoventral genes also modify organisers of tissue polarity. In particular, genetic control of tissue polarity organisers at ventral petal junctions and distal boundaries allows both the shape and growth field of the flower to be accounted for in wild type and mutants. The results suggest that genetic control of tissue polarity organisers has played a key role in the development and evolution of shape.     

Fission yeast Cyk3p is a transglutaminase-like protein that participates in cytokinesis and cell morphogenesis

Cell morphogenesis is a complex process that relies on a diverse array of proteins and pathways. We have identified a transglutaminase-like protein (Cyk3p) that functions in fission yeast morphogenesis. The phenotype of a cyk3 knockout strain indicates a primary role for Cyk3p in cytokinesis. Correspondingly, Cyk3p localizes both to the actomyosin contractile ring and the division septum, promoting ring constriction, septation, and subsequent cell separation following ring disassembly. In addition, Cyk3p localizes to polarized growth sites and plays a role in cell shape determination, and it also appears to contribute to cell integrity during stationary phase, given its accumulation as dynamic puncta at the cortex of such cells. Our results and the conservation of Cyk3p across fungi point to a role in cell wall synthesis and remodeling. Cyk3p possesses a transglutaminase domain that is essential for function, even though it lacks the catalytic active site. In a wider sense, our work illustrates the physiological importance of inactive members of the transglutaminase family, which are found throughout eukaryotes. We suggest that the proposed evolution of animal transglutaminase cross-linking activity from ancestral bacterial thiol proteases was accompanied by the emergence of a subclass whose function does not depend on enzymatic activity.     

Are Victoria West cores “proto-Levallois”? A phylogenetic assessment

Cores from South Africa assigned to the “Victoria West” industry have long been purported as a “proto-Levallois” core form, and thus regarded as ancestral to the Levallois prepared core technologies of the Middle Paleolithic and African Middle Stone Age. Similarities in form between Victoria West cores, in terms of surface morphology and the removal of large flakes from a prepared surface, led to hypothesized schemes of technological evolution from Victoria West cores through to fully developed Levallois cores. However, the phylogenetic basis of this Victoria West “proto-Levallois” hypothesis, and the assumptions of phylogenetic homology upon which it rests, have never been tested formally. In recent years, archaeologists have begun to use phylogenetic methods drawn from biology to test hypotheses of technological and cultural evolution. Here, the phylogenetic assumptions of the Victoria West “proto-Levallois” hypothesis are tested directly using a cladistic (maximum parsimony) protocol. The cladistic analyses indicate that Victoria West cores are not the basal sister taxon of a Levallois clade, as predicted by the proto-Levallois hypothesis. Moreover, character analyses demonstrate that several characters relating to core surfaces and flake scar morphology are not phylogenetically homologous, but result from convergent technological evolution within the Acheulean techno-complex. Post hoc analyses further determine that these results are not confounded by choice of outgroup or raw material factors. The results were also shown to be robust on the basis of the ensemble retention index statistic, bootstrap analyses, and permutation tests. Hence, it is concluded that Victoria West cores do not represent a “proto-Levallois” core form, and that the term “para-Levallois” should more correctly be applied on phylogenetic grounds. It is further argued that even in cases where different technologies are found to share phylogenetically homologous features, use of the term “proto” is questionable on theoretical grounds.     

The role of size-specific predation in the evolution and diversification of prey life histories

Some of the best empirical examples of life-history evolution involve responses to predation. Nevertheless, most life-history theory dealing with responses to predation has not been formulated within an explicit dynamic food-web context. In particular, most previous theory does not explicitly consider the coupled population dynamics of the focal species and its predators and resources. Here we present a model of life-history evolution that explores the evolutionary consequences of size-specific predation on small individuals when there is a trade-off between growth and reproduction. The model explicitly describes the population dynamics of a predator, the prey of interest, and its resource. The selective forces that cause life-history evolution in the prey species emerge from the ecological interactions embodied by this model and can involve important elements of frequency dependence. Our results demonstrate that the strength of the coupling between predator and prey in the community determines many aspects of life-history evolution. If the coupling is weak (as is implicitly assumed in many previous models), differences in resource productivity have no effect on the nature of life-history evolution. A single life-history strategy is favored that minimizes the equilibrium resource density (if possible). If the coupling is strong, then higher resource productivities select for faster growth into the predation size refuge. Moreover, under strong coupling it is also possible for natural selection to favor an evolutionary diversification of life histories, possibly resulting in two coexisting species with divergent life-history strategies.     

How well can the exponential-growth coalescent approximate constant-rate birth–death population dynamics?

One of the central objectives in the field of phylodynamics is the quantification of population dynamic processes using genetic sequence data or in some cases phenotypic data. Phylodynamics has been successfully applied to many different processes, such as the spread of infectious diseases, within-host evolution of a pathogen, macroevolution and even language evolution. Phylodynamic analysis requires a probability distribution on phylogenetic trees spanned by the genetic data. Because such a probability distribution is not available for many common stochastic population dynamic processes, coalescent-based approximations assuming deterministic population size changes are widely employed. Key to many population dynamic models, in particular epidemiological models, is a period of exponential population growth during the initial phase. Here, we show that the coalescent does not well approximate stochastic exponential population growth, which is typically modelled by a birth–death process. We demonstrate that introducing demographic stochasticity into the population size function of the coalescent improves the approximation for values of R₀ close to 1, but substantial differences remain for large R₀. In addition, the computational advantage of using an approximation over exact models vanishes when introducing such demographic stochasticity. These results highlight that we need to increase efforts to develop phylodynamic tools that correctly account for the stochasticity of population dynamic models for inference.     

Sex ratio and dynamic behavior in populations of the exotic blowfly Chrysomya albiceps (Diptera, Calliphoridae).

Sex ratio is an essential component of life history to be considered in population growth. Chrysomya albiceps is a blowfly species with a naturally biased sex ratio. In this study, we evaluated the impact of changes in sex ratio on the dynamic behavior of C. albiceps using a density-dependent mathematical model that incorporated demographic parameters such as survival and fecundity. These parameters were obtained by exponential regression, with survival and fecundity being estimated experimentally as a function of larval density. Bifurcation diagram of the results indicated the evolution of stable equilibrium points as a function of sex ratio. A continually increasing sex ratio yielded a hierarchy of bifurcating stable equilibrium points that evolved into a chaotic regime. The demographic parameters obtained by exponential regression were also changed to maximum and minimum values in order to analyze their influence on dynamic behavior with sex ratio being considered as an independent variable. Bifurcations with periodicity windows between chaos regimes were also found.     

The Saccharomyces cerevisiae spindle pole body is a dynamic structure

During spindle pole body (SPB) duplication, the new SPB is assembled at a distinct site adjacent to the old SPB. Using quantitative fluorescence methods, we studied the assembly and dynamics of the core structural SPB component Spc110p. The SPB core exhibits both exchange and growth in a cell cycle-dependent manner. During G1/S phase, the old SPB exchanges approximately 50% of old Spc110p for new Spc110p. In G2 little Spc110p is exchangeable. Thus, Spc110p is dynamic during G1/S and becomes stable during G2. The SPB incorporates additional Spc110p in late G2 and M phases; this growth is followed by reduction in the next G1. Spc110p addition to the SPBs (growth) also occurs in response to G2 and mitotic arrests but not during a G1 arrest. Our results reveal several dynamic features of the SPB core: cell cycle-dependent growth and reduction, growth in response to cell cycle arrests, and exchange of Spc110p during SPB duplication. Moreover, rather than being considered a conservative or dispersive process, the assembly of Spc110p into the SPB is more readily considered in terms of growth and exchange.     

Molecular evolution of poxviruses

Previous restriction fragment length polymorphism analysis divided variola virus (VARV) strains into two subtypes, one of which included West African and South American isolates. This allowed a dating to be introduced for the first time in estimation of the VARV evolution rate. The results were used to analyze the molecular evolution of the total family Poxviridae. Comparisons of the known nucleotide sequences were performed for the extended conserved central genome region in 42 orthopoxvirus strains and for the eight genes of multisubunit RNA polymerase in 65 viruses belonging to various genera of the family Poxviridae. Using the Bayesian dating method, the mutation accumulation rate of poxviruses was estimated at (1.7–8.8) × 10^?6 nucleotide substitutions per site per year. Computations showed that the modern poxvirus genera started diverging from an ancestral virus more than 200 thousand years ago and that an ancestor of the genus Orthopoxvirus emerged 131 ± 45 thousand years ago. The other genera of mammalian poxviruses with a low GC content diverged approximately 110–90 thousand years ago. The independent evolution of VARV started 3.4 ± 0.8 thousand years ago. It was shown with the example of VARV and the monkeypox virus (MPXV) that divergent evolution of these orthopoxviruses started and the West African subtypes of VARV and MPXV were formed as geographical conditions changed to allow isolation of West African animals from other African regions.     

End-to-end annealing of plant microtubules by the p86 subunit of eukaryotic initiation factor-(iso)4F.

The p86 subunit of eukaryotic initiation factor-(iso)4F from wheat germ exhibits saturable and substoichiometric binding to maize microtubules, induces microtubule bundling in vitro, and is colocalized or closely associated with cortical microtubule bundles in maize root cells, indicating its function as a microtubule-associated protein (MAP). The effects of p86 on the growth of short, taxol-stabilized maize microtubules were investigated. Pure microtubules underwent a gradual length redistribution, an increase in mean length, and a decrease in number concentration consistent with an end-to-end annealing mechanism of microtubule growth. Saturating p86 enhanced the microtubule length distribution and produced significantly longer and fewer microtubules than the control, indicating a facilitation of annealing by p86. Confirmation of endwise annealing rather than of dynamic instability as the mechanism for microtubule growth was made using mammalian MAP2, which also promoted the redistribution of length, increase in mean length, and decrease in number concentration of taxol-stabilized maize microtubules. Enhancement of microtubule growth occurred concomitant with bundling by p86, indicating that an alignment of microtubules in bundles facilitated endwise annealing kinetics. The results demonstrate that nonfacile plant microtubules can spontaneously elongate by endwise annealing and that MAPs enhance the rate of annealing. The p86 subunit of eukaryotic initiation factor-(iso)4F may be an important regulator of microtubule dynamics in plant cells.     

基于文化与政治生态学的社会生态系统演进机制研究 ——以杭州与西湖为例

科学认识社会生态系统演进机制是对其进行有效管理的重要基础。以文化与政治生态学为理论基础,提出适合杭州—西湖社会生态系统的综合研究框架,识别了杭州—西湖社会生态系统的5个演进阶段,并分析出系统演进中的3种潜在状态。自然、政治、经济以及社会驱动力是影响杭州—西湖社会生态系统的主导因素,人类行为影响整个生态系统中扰动的频率、大小和形式并改变西湖生态系统的结构与功能,进而影响西湖为城市提供生态系统服务的潜能。在不同历史时期,基于自然、社会、经济、文化等多层面的需求,西湖在不同系统状态下为城市供给不同类别和质量的生态系统服务,总体而言供给与调节服务比例逐渐下降,文化服务逐渐上升,并且后者逐步成为最主要的生态系统服务类别。杭州与西湖在长期的互馈共生中建立了社会生态系统的自适应性调节机制,其背后的生态智慧可为现代风景园林规划提供重要启示。     

Rapid evolution of a consumer stoichiometric trait destabilizes consumer–producer dynamics

Recent studies have shown that adaptive evolution can be rapid enough to affect contemporary ecological dynamics in nature (i.e. ‘rapid evolution’). These studies tend to focus on trait functions relating to interspecific interactions; however, the importance of rapid evolution of stoichiometric traits has been relatively overlooked. Various traits can affect the balance of elements (carbon, nitrogen, and phosphorus) of organisms, and rapid evolution of such stoichiometric traits will not only alter population and community dynamics but also influence ecosystem functions such as nutrient cycling. Multiple environmental changes may exert a selection pressure leading to adaptation of stoichiometrically important traits, such as an organism's growth rate. In this paper, we use theoretical approaches to explore the connections between rapid evolution and ecological stoichiometry at both the population and ecosystem level. First, we incorporate rapid evolution into an ecological stoichiometry model to investigate the effects of rapid evolution of a consumer's stoichiometric phosphorus:carbon ratio on consumer–producer population dynamics. We took two complementary approaches, an asexual clonal genotype model and a quantitative genetic model. Next, we extended these models to explicitly track nutrients in order to evaluate the effect of rapid evolution at the ecosystem level. Our model results indicate rapid evolution of the consumer stoichiometric trait can cause complex dynamics where rapid evolution destabilizes population dynamics and rescues the consumer population from extinction (evolutionary rescue). The model results also show that rapid evolution may influence the level of nutrients available in the environment and the flux of nutrients across trophic levels. Our study represents an important step for theoretical integration of rapid evolution and ecological stoichiometry.     

Systematics and phylogeny of West African gerbils of the genus Gerbilliscus (Muridae: Gerbillinae) inferred from comparative G- and C-banding chromosomal analyses

Comparative analysis of the G- and C-banding patterns in six morphologically similar species of the genus Gerbilliscus(G. gambianus, G. guineae, G. kempi, Gerbilliscus sp., G. robustus and G. leucogaster) and one belonging to the genus Gerbillurus (G. tytonis) from 27 West, East and South African localities was carried out. Our study revealed that 17 rearrangements comprising seven fissions, five translocations and five inversions occurred in the evolution of this group, with 1-13 rearrangements differentiating the various species. In addition the unusually large sex chromosomes appear to be species-specific as judged by size and morphology reflecting structural rearrangements as well as the variable presence of a large amount of C-heterochromatin found in each species at a particular chromosomal location. These karyotypic features allow us to recognize five distinct species in West Africa (compared to the two recognized in recent taxonomic lists) and to roughly delimit their geographical distributions. The pattern of phylogenetic relationships inferred from a cladistic analysis of the chromosomal data is in good agreement with recent molecular phylogenetic studies that recognize a West African species group within the genus Gerbilliscus, and the monophyly of both Gerbilliscus and Gerbillurus.     

The research of constructing dynamic cognition model based on brain network

Estimating the functional interactions and connections between brain regions to corresponding process in cognitive, behavioral and psychiatric domains is a central pursuit for understanding the human connectome. Few studies have examined the effects of dynamic evolution on cognitive processing and brain activation using brain network model in scalp electroencephalography (EEG) data. Aim of this study was to investigate the brain functional connectivity and construct dynamic programing model from EEG data and to evaluate a possible correlation between topological characteristics of the brain connectivity and cognitive evolution processing. Here, functional connectivity between brain regions is defined as the statistical dependence between EEG signals in different brain areas and is typically determined by calculating the relationship between regional time series using wavelet coherence. We present an accelerated dynamic programing algorithm to construct dynamic cognitive model that we found that spatially distributed regions coherence connection difference, the topologic characteristics with which they can transfer information, producing temporary network states. Our findings suggest that brain dynamics give rise to variations in complex network properties over time after variation audio stimulation, dynamic programing model gives the dynamic evolution processing at different time and frequency. In this paper, by applying a new construct approach to understand whole brain network dynamics, firstly, brain network is constructed by wavelet coherence, secondly, different time active brain regions are selected by network topological characteristics and minimum spanning tree. Finally, dynamic evolution model is constructed to understand cognitive process by dynamic programing algorithm, this model is applied to the auditory experiment, results showed that, quantitatively, more correlation was observed after variation audio stimulation, the EEG function connection dynamic evolution model on cognitive processing is feasible with wavelet coherence EEG recording.