丝状体蓝藻藻殖段的分化及其调节机制

本文介绍了丝状体蓝藻(亦称蓝细菌) 的藻殖段的分化及其调节机制。藻殖段与正常藻丝体的区别在于细胞形状、细胞内存有气囊和可移动的短而直的藻丝链等。本文对许多环境因子包括光和营养因素等促进或抑制藻殖段的分化进行了讨论;还介绍了念珠藻(Nostoc) ,单歧藻(Tolypothrix) 和眉藻(Calothrix)所具有复杂的细胞发育过程,即具气囊又可移动的藻殖段分化,异形胞分化以及营养细胞的补偿性色适应。这三种细胞类型的适应形成取决于两种不同的光受体系统。藻殖段和异形胞两者的分化可能取决于光合电子传递链;而营养细胞的补偿性色适应则受光敏色素的调节。此外,谷酰胺合成酶合成和活性调节的PII蛋白,在协同藻殖段分化、异形胞分化及营养细胞的补偿色适应中起重要作用。由于蓝藻藻殖段分化及其调节机制是一个新的研究领域,关于它的知识尚不完整,亟待人们加强研究。     

Multi-dimensional regulation of metabolic networks shaping plant development and performance

The metabolome is an integral part of a plant's life cycle and determines for a large part its external phenotype. It is the final, internal product of chemical interactions, obtained through developmental, genetic, and environmental inputs, and as such, it defines the state of a plant in terms of development and performance. Understanding its regulation will provide knowledge and new insights into the biochemical pathways and genetic interactions that shape the plant and its surroundings. In this review, we will focus on four dimensions that contribute to the huge diversity of metabolomes and we will illustrate how this diversity shapes the plant in terms of development and performance: (i) temporal regulation: the metabolome is extremely dynamic and temporal changes in the environment can have an immense impact on its composition; (ii) spatial regulation: metabolites can be very specific, in both quantitative and qualitative terms, to specialized organs, tissues, and cell types; (iii) environmental regulation: the metabolic profile of plants is highly dependent on environmental signals, such as light, temperature, and nutrients, and very susceptible to biotic and abiotic stresses; and (iv) genetic regulation: the biosynthesis, structure, and accumulation of metabolites have a genetic origin, and there is quantitative and qualitative variation for metabolomes within a species. We will address the contribution of these dimensions to the wide diversity of metabolomes and highlight how the multi-dimensional regulation of metabolism defines the plant's phenotype.     

Geometric shape as a trait to study phytoplankton distributions in aquatic ecosystems

The geometric shape is traditionally used to calculate phytoplankton cell measurements (e.g. biovolume), but it can also play an important role in determining community distributions. Little is known about how geometric shapes relate to other morphological traits or to the environment. We explored whether shapes and related morphological traits are selected by environmental forcing. For this, samples were collected seasonally at 21 stations in coastal-marine waters of the Salento Peninsula (Italy). Phytoplankton taxa were classified in terms of geometric shape, biovolume (organism size) and surface-to-volume ratio (S:V). The relationship between greatest axial linear dimension (GALD) and S:V was assessed for each shape. A Canonical Correspondence Analysis (CCA) was performed to evaluate phytoplankton shape distribution on temporal and spatial scales. Phytoplankton community was characterized by high morphological diversity. GALD and S:V were inversely related in most of the shapes. CCA showed that phytoplankton shape distribution was influenced more by seasonal than by spatial variation: elongated shapes characterized the cold period; rounded and combined shapes the warmer period. Most of the shapes showed conservatism of the S:V and trade-off with the size. Geometric shapes represent an interesting feature to be considered in trait-based approaches to study phytoplankton distributions in aquatic ecosystems.     

Cross-talk between Rho and Rac GTPases drives deterministic exploration of cellular shape space and morphological heterogeneity

One goal of cell biology is to understand how cells adopt different shapes in response to varying environmental and cellular conditions. Achieving a comprehensive understanding of the relationship between cell shape and environment requires a systems-level understanding of the signalling networks that respond to external cues and regulate the cytoskeleton. Classical biochemical and genetic approaches have identified thousands of individual components that contribute to cell shape, but it remains difficult to predict how cell shape is generated by the activity of these components using bottom-up approaches because of the complex nature of their interactions in space and time. Here, we describe the regulation of cellular shape by signalling systems using a top-down approach. We first exploit the shape diversity generated by systematic RNAi screening and comprehensively define the shape space a migratory cell explores. We suggest a simple Boolean model involving the activation of Rac and Rho GTPases in two compartments to explain the basis for all cell shapes in the dataset. Critically, we also generate a probabilistic graphical model to show how cells explore this space in a deterministic, rather than a stochastic, fashion. We validate the predictions made by our model using live-cell imaging. Our work explains how cross-talk between Rho and Rac can generate different cell shapes, and thus morphological heterogeneity, in genetically identical populations.     

Gene regulation,quantitative genetics and the evolution of reaction norms

Summary The ideas of phenotypic plasticity and of reaction norm are gaining prominence as important components of theories of phenotypic evolution. Our understanding of the role of phenotypic plasticity as an adaptation of organisms to variable environments will depend on (1) the form(s) of genetic and developmental control exerted on the shape of the reaction norm and (2) the nature of the constraints on the possible evolutionary trajectories in multiple environments. In this paper we identify two categories of genetic control of plasticity: allelic sensitivity and gene regulation. These correspond generally to two classes of response by the developmental system to environmental change: phenotypic modulation, in which plastic responses are a continuous and proportional function of environmental stimuli and developmental conversion, where responses tend to be not simply proportional to the stimuli. We propose that control of plasticity by regulatory actions has distinct advantages over simple allelic sensitivity: stability of phenotypic expression, capacity for anticipatory response and relaxation of constraints due to genetic correlations. We cite examples of the extensive molecular evidence for the existence of environmentally-cued gene regulation leading to developmental conversion. The results of quantitative genetic investigations on the genetics and evolution of plasticity, as well as the limits of current approaches are discussed. We suggest that evolution of reaction norms would be affected by the ecological context (i.e. spatial versus temporal variation, hard versus soft selection, and fine versus coarse environmental grain). We conclude by discussing some empirical approaches to address fundamental questions about plasticity evolution.     

The selective value of bacterial shape.

Why do bacteria have shape? Is morphology valuable or just a trivial secondary characteristic? Why should bacteria have one shape instead of another? Three broad considerations suggest that bacterial shapes are not accidental but are biologically important: cells adopt uniform morphologies from among a wide variety of possibilities, some cells modify their shape as conditions demand, and morphology can be tracked through evolutionary lineages. All of these imply that shape is a selectable feature that aids survival. The aim of this review is to spell out the physical, environmental, and biological forces that favor different bacterial morphologies and which, therefore, contribute to natural selection. Specifically, cell shape is driven by eight general considerations: nutrient access, cell division and segregation, attachment to surfaces, passive dispersal, active motility, polar differentiation, the need to escape predators, and the advantages of cellular differentiation. Bacteria respond to these forces by performing a type of calculus, integrating over a number of environmental and behavioral factors to produce a size and shape that are optimal for the circumstances in which they live. Just as we are beginning to answer how bacteria create their shapes, it seems reasonable and essential that we expand our efforts to understand why they do so.     

The Selective Value of Bacterial Shape

Why do bacteria have shape? Is morphology valuable or just a trivial secondary characteristic? Why should bacteria have one shape instead of another? Three broad considerations suggest that bacterial shapes are not accidental but are biologically important: cells adopt uniform morphologies from among a wide variety of possibilities, some cells modify their shape as conditions demand, and morphology can be tracked through evolutionary lineages. All of these imply that shape is a selectable feature that aids survival. The aim of this review is to spell out the physical, environmental, and biological forces that favor different bacterial morphologies and which, therefore, contribute to natural selection. Specifically, cell shape is driven by eight general considerations: nutrient access, cell division and segregation, attachment to surfaces, passive dispersal, active motility, polar differentiation, the need to escape predators, and the advantages of cellular differentiation. Bacteria respond to these forces by performing a type of calculus, integrating over a number of environmental and behavioral factors to produce a size and shape that are optimal for the circumstances in which they live. Just as we are beginning to answer how bacteria create their shapes, it seems reasonable and essential that we expand our efforts to understand why they do so.     

湖泊蓝藻水华发生机理研究进展

蓝藻水华是富营养化湖泊常见的生态灾害,通过产生毒素、死亡分解时使水体缺氧和破坏正常的食物网威胁到饮用水安全、公众健康和景观,会造成严重的经济损失和社会问题,揭示其发生机理是进行防治的基础。综述了蓝藻水华发生机理的主要假说和证据,主要分为环境因子(营养盐、氮磷比、温度、微量元素、浮游动物牧食、水文和气象条件等)和生理生态特性(伪空泡、胶质鞘、CO2浓缩机制、适应低光强、贮藏营养物质、防晒、产毒素和固氮等)两个方面;评述了主要新理论,展望了今后的研究。到目前为止的研究表明寻找一两个关键因子并不能阐明蓝藻水华的发生机理。现存的理论或假说尽管已经在蓝藻水华的防治实践中产生重要作用,但仍然未能清楚地阐释其发生的客观规律。认为蓝藻水华是在各种环境因子(外因)的耦合驱动下,水华蓝藻由于其独特的生理生态特性(内因),产生巨大的生物量而在浮游植物群落中占绝对优势,在合适的水文气象条件下集聚于水表而形成。因此水华机理的研究应同时关注水华蓝藻的生理生态学规律和蓝藻水华发生的各种环境条件。不同环境因子协同影响水华蓝藻的不同生理生态特性的表达,从而影响水华的发生过程,将可能是以后研究的重点。蓝藻水华机理的研究在微观方面正趋向于应用分子生物学手段分析蓝藻生理过程,宏观方面则将广泛应用遥感遥测技术观测全湖蓝藻的变化规律。今后加强对水华蓝藻生理生态特性的基因表达与调控和环境多因子耦合作用于蓝藻水华过程的研究将有重要意义。蓝藻水华的机理研究包括现象、过程和原因3个层次的问题,通过大量的现象和过程的研究,不断揭示其发生过程中水华蓝藻的群落演替、种群发展、细胞活性和分子机理等变化规律,才能找到其发生的真正原因,为其防治提供理论依据和更好的治理措施。在蓝藻水华防治方面,控制营养盐和生态修复可能将是今后很长时间内最根本最有效和最具操作性的方法。     

ROP GTPase-mediated auxin signaling regulates pavement cell interdigitation in Arabidopsis thaliana

In multicellular plant organs, cell shape formation depends on molecular switches to transduce developmental or environmental signals and to coordinate cell‐to‐cell communication. Plants have a specific subfamily of the Rho GT Pase family, usually called Rho of Plants(ROP), which serve as a critical signal transducer involved in many cellular processes. In the last decade, important advances in the ROP‐mediated regulation of plant cell morphogenesis have been made by using Arabidopsis thaliana leaf and cotyledon pavement cells.Especially, the auxin‐ROP signaling networks have been demonstrated to control interdigitated growth of pavement cells to form jigsaw‐puzzle shapes. Here, we review findings related to the discovery of this novel auxin‐signaling mechanism at the cell surface. This signaling pathway is to a large extent independent of the well‐known Transport Inhibitor Response(TIR)–Auxin Signaling F‐Box(AFB) pathway, and instead requires Auxin Binding Protein 1(ABP1) interaction with the plasma membrane‐localized, transmembrane kinase(TMK) receptor‐like kinase to regulate ROP proteins. Once activated, ROP influences cytoskeletal organization and inhibits endocytosis of the auxin transporter PIN1. The present review focuses on ROP signaling and its self‐organizing feature allowing ROP proteins to serve as a bustling signal decoder and integrator for plant cell morphogenesis.     

Phycobiliprotein fluorescence of Nostoc punctiforme changes during the life cycle and chromatic adaptation: characterization by spectral confocal laser scanning microscopy and spectral unmixing

Many cyanobacteria are highly adaptable to light quality, and many species undergo a complex life cycle. In this study we show that adaptive changes in the photosynthetic apparatus of cyanobacteria are not only caused by environmental, but also by developmental factors. Spectral confocal laser scanning microscopy (CLSM) was used to analyse in vivo the fluorescence spectra of the photosynthetic pigments chlorophyll a (Chl a), allophycocyanin (APC), phycocyanin (PC) and phycoerythrin (PE) of two Nostoc punctiforme strains. Changes in pigment fluorescence emission occurred in different developmental stages. Strain 1:1-26 showed an emission maximum at 674 nm in motile hormogonia stages, whereas vegetative stages showed maxima at 658 and 575 nm. These changes were not caused by chromatic adaptation. In contrast, the second strain (1:1-26lg) showed distinct fluorescence spectra, pigment localization and clear chromatic adaptation in red light. When these properties are known, both strains can be easily distinguished by the spectral CLSM method, which also allows the localization of the pigments within single cells. To calculate the contribution of individual phycobiliproteins to the observed changes, fluorescence spectra were analysed by spectral unmixing. This allowed the mathematical estimation of fluorescence shares for the individual phycobiliproteins in different developmental stages and both before and after chromatic adaptation. It is concluded that care should be taken when characterizing cyanobacteria by differences in pigment fluorescence, because these differences are influenced not only by chromatic adaptation, but also developmental stages. Spectral CLSM offers a powerful method to study the phycobiliprotein composition in vivo.     

Theory of the growth and evolution of feather shape

We present the first explicit theory of the growth of feather shape, defined as the outline of a pennaceous feather vane. Based on a reanalysis of data from the literature, we propose that the absolute growth rate of the barbs and rachis ridges, not the vertical growth rate, is uniform throughout the follicle. The growth of feathers is simulated with a mathematical model based on six growth parameters: (1) absolute barb and rachis ridge growth rate, (2) angle of helical growth of barb ridges, (3) initial barb ridge number, (4) new barb ridge addition rate, (5) barb ridge diameter, and (6) the angle of barb ramus expansion following emergence from the sheath. The model simulates growth by cell division in the follicle collar and, except for the sixth parameter, does not account for growth by differentiation in cell size and shape during later keratinization. The model can simulate a diversity of feather shapes that correspond closely in shape to real feathers, including various contour feathers, asymmetrical feathers, and even emarginate primaries. Simulations of feather growth under different parameter values demonstrate that each parameter can have substantial, independent effects on feather shape. Many parameters also have complex and redundant effects on feather shape through their influence on the diameter of the follicle, the barb ridge fusion rate, and the internodal distance. Simulated isochrones-the loci, or sets, of feather cells of the same age-have the same oblique chevron-shaped position in the mature feather as fault bars, which are isochronic defects in the barbules created by a disruptions during development. Accurate simulation of fault bar shape and position confirms the uniform absolute growth rate hypothesis and the general realism of the model. The theory defines a six-parameter feather morphospace, and provides many predictions about the developmental determination of feather shape that can be tested with detailed observations and experiments on developing feathers. This theory also provides testable predictions about the changes in developmental mechanisms required to evolve different feather shapes to accomplish various functions.     

丝状体蓝藻藻殖段的分化及其调节机制

本文介绍了丝状体蓝藻（亦称蓝细菌）的藻殖段的分化及其调节机制。藻殖段与正常藻丝体的区别在于细胞开状、细胞内存有气囊和可移动的短而真的藻丝链等。本文对许多环境因子包括光和营养因素等促进或抑制藻殖段的分化进行一讨论;还介绍了含球藻（Ｎｏｓｔｏｃ）,单歧藻（Ｔｏｌｙｐｏｔｈｒｉｘ）和眉藻（Ｃａｌｏｔｈｒｉｘ）所具有复杂的细胞发育过程,即具气囊又可移动的藻殖段分化,异形胞分化以及营养细胞的被偿性色适应。这     

THE TOXIC CYANOBACTERIUM NOSTOC SP. STRAIN 152 PRODUCES HIGHEST AMOUNTS OF MICROCYSTIN AND NOSTOPHYCIN UNDER STRESS CONDITIONS

The understanding of how environmental factors regulate toxic secondary metabolite production in cyanobacteria is important to guarantee water quality. Very little is known on the regulation of toxic secondary metabolite production in benthic cyanobacteria. In this study the physiological regulation of the production of the toxic heptapeptide microcystin (MC) and the non-toxic related peptide nostophycin (NP) in the benthic cyanobacterium Nostoc sp. strain 152 was studied under contrasting environmental conditions. I used a 2(k) levels factorial design, where k is the number of four factors that have been tested: Reduction in temperature (20 vs. 12°C), irradiance (50 vs. 1 μmol · m(-2) · s(-1)), P-PO(4) (144 vs. 0.14 μM P-PO(4)), N-NO(3) (5.88 mM vs. N-NO(3) free). While the growth rate was reduced more than hundred fold under most severe conditions of temperature, irradiance, and phosphate reduction the production of MC and NP never ceased. The MC and NP contents per cell varied at maximum 5- and 10.6-fold each, however the physiological variation did not outweigh the highly significant linear relationship between the daily cell division rate and the MC and NP net production rates. Surprisingly the MC and NP contents per cell showed a maximum under P-PO(4) reduced and irradiance reduced conditions. Both intra- and extracellular MC and NP concentrations were negatively related to P-PO(4) and irradiance. It is concluded that the proximate factor behind maximal cellular MC and NP contents is physiological stress.     

The pressure relationships of halophilic and non-halophilic prokaryotic cells determined by using gas vesicles as pressure probes

Abstract Gas vesicles can be used to measure the hydrostatic pressure (turgor pressure) in prokaryotic cells. Halophilic cyanobacteria have turgor pressures that are substantially less than those of cyanobacteria from fresh water. Turgor pressure acts so as to tend to burst cell walls and collapse hollow gas vesicles. The halophiles take advantage of their lower turgor pressures by producing cell walls that are relatively thinner and gas vesicles that are relatively wider than in the mesophilic cyanobacteria. In this way the halophilic structure encounters the same stress and saves on material. Extreme halophiles, with negligible turgor, have been able to adopt various shapes and to produce the weakest and widest gas vesicles.     

Buckman's Paradox: variability and constraints on ammonoid ornament and shell shape

Buckman's Law of Covariation states that ammonoid shell shape and ornamentation are typically correlated, such that compressed, involute forms have light ornament while more inflated, evolute forms have heavier ornament. Such covariation has been observed in many ammonoid groups, and implies a link between the morphogenesis of shell shape and ornamentation. However, other evidence suggests that while ornament growth is controlled by the genetic‐developmental program of the ammonoid, shell shape is strongly influenced by environmental factors. These differing viewpoints lead to Buckman's Paradox – are ornamentation and shell shape tightly linked, as implied by Buckman's covariation, or is the morphogenesis of ornament controlled genetically, while shell shape is controlled environmentally? To address this issue, the variability of shell shape and rib morphology has been compared for a group of endemic acanthoceratid ammonites from the Cretaceous Western Interior Seaway of North America. If Buckman's Law holds due to a morphogenetic connection between shell shape and ornamentation, we would expect taxa with more variable shell shapes to also show more variable rib features and growth. Morphometric analysis of seven shell shape and two rib characters for the Western Interior acanthoceratids finds no such correlation, suggesting that shell shape and rib growth are controlled by different processes. Indeed, rib growth appears to be more constrained than shell shape, consistent with the view that ornamentation is more tightly controlled by the developmental‐genetic growth program of the ammonoid. These results emphasize the complexity of ammonoid morphogenesis and highlight our limited understanding of the causes underlying Buckman's Law.     

Capabilities and Limitations of Tissue Size Control through Passive Mechanical Forces

Embryogenesis is an extraordinarily robust process, exhibiting the ability to control tissue size and repair patterning defects in the face of environmental and genetic perturbations. The size and shape of a developing tissue is a function of the number and size of its constituent cells as well as their geometric packing. How these cellular properties are coordinated at the tissue level to ensure developmental robustness remains a mystery; understanding this process requires studying multiple concurrent processes that make up morphogenesis, including the spatial patterning of cell fates and apoptosis, as well as cell intercalations. In this work, we develop a computational model that aims to understand aspects of the robust pattern repair mechanisms of the Drosophila embryonic epidermal tissues. Size control in this system has previously been shown to rely on the regulation of apoptosis rather than proliferation; however, to date little work has been done to understand the role of cellular mechanics in this process. We employ a vertex model of an embryonic segment to test hypotheses about the emergence of this size control. Comparing the model to previously published data across wild type and genetic perturbations, we show that passive mechanical forces suffice to explain the observed size control in the posterior (P) compartment of a segment. However, observed asymmetries in cell death frequencies across the segment are demonstrated to require patterning of cellular properties in the model. Finally, we show that distinct forms of mechanical regulation in the model may be distinguished by differences in cell shapes in the P compartment, as quantified through experimentally accessible summary statistics, as well as by the tissue recoil after laser ablation experiments.     

Biodiversity and evolution in the light of morphometrics: From patterns to processes

Disparity (shape diversity) is a key aspect of biodiversity, both present and past. The shapes of organisms are usually quantified by means of morphometrics. In this article, after a short review of recent advances and applications of morphometric methods, examples are presented as an overview of morphometric studies undertaken at the Biogéosciences research unit of Burgundy University. They concern both works on shape differentiation and evolution of disparity through time, and work aiming to infer, from the shapes of the organisms, any developmental stresses, constraints or processes which could explain in part the resulting disparity. The objective is to demonstrate how useful morphometrics can be for research in evolutionary and developmental biology.     

Morphofunctional traits reflect differences in phytoplankton community between rivers of contrasting flow regime

A morphofunctional traits approach has been adopted to identify how environmental factors shape the phytoplankton community. This approach has been applied in two rivers where hydrodynamical conditions are expected to be the main factor acting on the phytoplankton community. Hence, morphological traits (motility, shape, size, mucilage, and silica) related to sedimentation resistance have been chosen. We have shown that differences in flow regulation through differences in flow velocities induce shifts in phytoplankton community. These shifts depend mostly on shape, buoyancy regulation, and motility of phytoplankton cells. Elongated shapes are the characteristic of unregulated sites with high flow velocities, while cells able to regulate actively their position or to reduce their density (mucilaginous colonies) are found in regulated sites with low flow velocities. Flattened shapes are also the characteristic of sites with rather low flow velocities. These results highlight the key role of flow velocity as a driving factor controlling the structure of phytoplankton community. In this study, flow velocity also structures phytoplankton community according to location rather than seasonality.