Growth Biology Research Articles

Multiple Plasma Biomarkers for Risk Stratification in Patients With Heart Failure and Preserved Ejection Fraction

BackgroundBetter risk stratification strategies are needed to enhance clinical care and trial design in heart failure with preserved ejection fraction (HFpEF). ObjectivesThe purpose of this study was to assess the value of a targeted plasma multi-marker approach to enhance our phenotypic characterization and risk prediction in HFpEF. MethodsIn this study, the authors measured 49 plasma biomarkers from TOPCAT (Treatment of Preserved Cardiac Function Heart Failure With an Aldosterone Antagonist) trial participants (n = 379) using a Multiplex assay. The relationship between biomarkers and the risk of all-cause death or heart failure-related hospital admission (DHFA) was assessed. A tree-based pipeline optimizer platform was used to generate a multimarker predictive model for DHFA. We validated the model in an independent cohort of HFpEF patients enrolled in the PHFS (Penn Heart Failure Study) (n = 156). ResultsTwo large, tightly related dominant biomarker clusters were found, which included biomarkers of fibrosis/tissue remodeling, inflammation, renal injury/dysfunction, and liver fibrosis. Other clusters were composed of neurohormonal regulators of mineral metabolism, intermediary metabolism, and biomarkers of myocardial injury. Multiple biomarkers predicted incident DHFA, including 2 biomarkers related to mineral metabolism/calcification (fibroblast growth factor-23 and OPG [osteoprotegerin]), 3 inflammatory biomarkers (tumor necrosis factor-alpha, sTNFRI [soluble tumor necrosis factor-receptor I], and interleukin-6), YKL-40 (related to liver injury and inflammation), 2 biomarkers related to intermediary metabolism and adipocyte biology (fatty acid binding protein-4 and growth differentiation factor-15), angiopoietin-2 (related to angiogenesis), matrix metalloproteinase-7 (related to extracellular matrix turnover), ST-2, and N-terminal pro–B-type natriuretic peptide. A machine-learning–derived model using a combination of biomarkers was strongly predictive of the risk of DHFA (standardized hazard ratio: 2.85; 95% confidence interval: 2.03 to 4.02; p < 0.0001) and markedly improved the risk prediction when added to the MAGGIC (Meta-Analysis Global Group in Chronic Heart Failure Risk Score) risk score. In an independent cohort (PHFS), the model strongly predicted the risk of DHFA (standardized hazard ratio: 2.74; 95% confidence interval: 1.93 to 3.90; p < 0.0001), which was also independent of the MAGGIC risk score. ConclusionsVarious novel circulating biomarkers in key pathophysiological domains are predictive of outcomes in HFpEF, and a multimarker approach coupled with machine-learning represents a promising strategy for enhancing risk stratification in HFpEF.

On the road to C4 rice: advances and perspectives.

SummaryThe international C4 rice consortium aims to introduce into rice a high capacity photosynthetic mechanism, the C4 pathway, to increase yield. The C4 pathway is characterised by a complex combination of biochemical and anatomical specialisation that ensures high CO2 partial pressure at RuBisCO sites in bundle sheath (BS) cells. Here we report an update of the progress of the C4 rice project. Since its inception in 2008 there has been an exponential growth in synthetic biology and molecular tools. Golden Gate cloning and synthetic promoter systems have facilitated gene building block approaches allowing multiple enzymes and metabolite transporters to be assembled and expressed from single gene constructs. Photosynthetic functionalisation of the BS in rice remains an important step and there has been some success overexpressing transcription factors in the cytokinin signalling network which influence chloroplast volume. The C4 rice project has rejuvenated the research interest in C4 photosynthesis. Comparative anatomical studies now point to critical features essential for the design. So far little attention has been paid to the energetics. C4 photosynthesis has a greater ATP requirement, which is met by increased cyclic electron transport in BS cells. We hypothesise that changes in energy statues may drive this increased capacity for cyclic electron flow without the need for further modification. Although increasing vein density will ultimately be necessary for high efficiency C4 rice, our modelling shows that small amounts of C4 photosynthesis introduced around existing veins could already provide benefits of increased photosynthesis on the road to C4 rice.

Main Pancreatic Duct to Parenchymal Thickness Ratio at Preoperative Imaging is Associated with Overall Survival in Upfront Resected Pancreatic Cancer.

Pancreatic cancer induces parenchymal atrophy and duct dilation. The aim of this study was to evaluate whether these radiologic modifications are associated with outcomes. Upfront pancreaticoduodenectomy patients with available preoperative contrast enhanced CT scan imaging were retrospectively analyzed. Thickness of the pancreas, size of the main pancreatic duct (MPD), and distance of the tumor from the ampulla were assessed. A training cohort was selected, including short- (3-12months following surgery) and long-term (≥ 36months) survivors. Identified survival determinants were validated in the overall cohort. Two-hundred-sixteen patients were analyzed. In the training cohort (N = 118), 68 patients (57.6%) were in the short-term and 50 (42.4%) in the long-term survival group. The short-term survival group had significantly higher CA 19-9 levels (p = 0.027), larger tumors (32.6 ± 12.1mm vs. 26.5 ± 11.6mm, p = 0.007), poorer differentiation (p = 0.003), higher rate of R < 1mm resections (54% vs. 32%, p = 0.008), and reduced receipt of adjuvant chemotherapy (p = 0.020). The MPD-to-pancreatic thickness ratio was significantly lower in the short-term survivors (3.6 ± 6.2 vs. 8.2 ± 12.0, p = 0.016). In the entire cohort, an MPD-to-pancreatic thickness ratio ≥ 3.5 was associated with improved OS [median 33.0months IQR (19.7-48.1) versus 17months IQR (14.8-19.2), p = 0.004], and confirmed by a Cox-proportional hazards model independently associated with OS (HR = 0.58; p = 0.009), together with tumor size (HR = 1.02; p =0.012), R1/R2 status (HR = 1.53; p = 0.029), and receipt of adjuvant treatment (HR = 0.61; p = 0.021). High MPD-to-pancreatic thickness ratio was associated with improved long-term survival in pancreaticoduodenectomy for cancer. Whether these features are related to tumor chronicity, indolent biology, or local growth over metastasis remains to be determined.

Reprogramming bacteria with RNA regulators.

The revolution of genomics and growth of systems biology urged the creation of synthetic biology, an engineering discipline aiming at recreating and reprogramming cellular functions for industrial needs. There has been a huge effort in synthetic biology to develop versatile and programmable genetic regulators that would enable the precise control of gene expression. Synthetic RNA components have emerged as a solution, offering a diverse range of programmable functions, including signal sensing, gene regulation and the modulation of molecular interactions. Owing to their compactness, structure and way of action, several types of RNA devices that act on DNA, RNA and protein have been characterized and applied in synthetic biology. RNA-based approaches are more 'economical' for the cell, since they are generally not translated. These RNA-based strategies act on a much shorter time scale than transcription-based ones and can be more efficient than protein-based mechanisms. In this review, we explore these RNA components as building blocks in the RNA synthetic biology field, first by explaining their natural mode of action and secondly discussing how these RNA components have been exploited to rewire bacterial regulatory circuitry.

SCIENCE, RELIGION, AND ETHICS: THE BOYLE LECTURE 2019

AbstractHow do we and should we decide what is morally right and what is morally wrong? For much of human history, the teachings of religion were presumed to provide either the answer, or much of the answer. Over time, two developments challenged this. The first was the establishment of the discipline of moral philosophy. Foundational texts, such as Immanuel Kant's Groundwork of the Metaphysics of Morals, and the growth of coherent, nonreligious approaches to ethics, notably utilitarianism, served to marginalize the role of religion. And then, second, the twentieth century saw the rapid growth of evolutionary biology with an enthusiastic presumption that biology was the source of ethics. Here, I begin by discussing these developments and then examine the extent to which religion is still needed for a coherent account of ethics.

Can plant-derived phytochemicals provide symptom relief for hair loss? A critical review.

It is known that hair growth disorders and hair loss can cause personal distress and affect well-being. Whilst clinical conditions remain a target for medical research, current research on hair follicle biology and hair growth control mechanisms also provides opportunities for a range of non-medical and cosmetic interventions that have a modulating effect on the scalp and follicle function. Furthermore, an improvement of the hair fibre characteristics (cuticle structure, cortex size and integrity) could add to the overall positive visual effect of the hair array. Since phytochemicals are a popular choice because of their traditional appeal, this review provides a critical evaluation of the available evidence of their activity for hair benefit, excluding data obtained from animal tests, and offers recommendations on improving study validity and the robustness of data collection in pre-clinical and clinical studies.

Biology and Population Growth Parameters of Tomato Leaf Miner, (Tuta absoluta, Meyrick) (Gelechiidae: Lepidoptera), on Tomato in the Laboratory

Available with full text.

A population dynamics model of cell-cell adhesion incorporating population pressure and density saturation

We discuss several continuum cell-cell adhesion models based on the underlying microscopic assumptions. We propose an improvement on these models leading to sharp fronts and intermingling invasion fronts between different cell type populations. The model is based on basic principles of localized repulsion and nonlocal attraction due to adhesion forces at the microscopic level. The new model is able to capture both qualitatively and quantitatively experiments by Katsunuma et al. (2016). We also review some of the applications of these models in other areas of tissue growth in developmental biology. We finally explore the resulting qualitative behavior due to cell-cell repulsion.

Engineering Nanoparticles for Targeted Remodeling of the Tumor Microenvironment to Improve Cancer Immunotherapy.

Owing to the fast-paced growth and cross-infiltration of oncology, immunology and molecular biology, tumor immunotherapy technology represented by immune checkpoint blockade and chimeric antigen receptor (CAR) T cell therapy has lately made remarkable advancements. In comparison with traditional chemotherapy, immunotherapy has the potential to elicit a stronger sustained antitumor immune response in those patients who have advanced malignant malignancies. In spite of the advancements made, a significant number of clinical research works have validated that an extensive proportion of cancer patients still manifest insensitivity to immunotherapy, primarily because of the immunomodulatory interactions between tumor cells and the immunosuppressive tumor microenvironment (TME), together mediating the immune tolerance of tumors and accordingly impacting the positive response to immunotherapy. The intricate immunosuppressive networks formed by stromal cells, inflammatory cells, vasculature, extracellular matrix (ECM), and their secreted cytokines in the TME, play a pivotal role in tumor immune escape. Specific blocking of inhibition pathways in the TME is expected to effectively prevent immune escape and tolerance of tumor cells in addition to their metastasis, accordingly improving the antitumor immune response at various phases of tumor growth. Emerging nanoscale targeted drug carriers truly suit this specific requirement due to their specificity, biocompatibility, and convenience of production. This review emphasizes recent attempts to remodel the tumor immune microenvironment using novel nanoparticles, which include specifically eliminating immunosuppressive cells, reprogramming immune regulatory cells, promoting inflammatory cytokines and blocking immune checkpoints. Targeted remodeling of the immunosuppressive TME using well-designed and fabricated nanoparticles provides a promising strategy for improving the effectiveness of current immunotherapy and is greatly significant.

Estadísticos demográficos de Dactylopius opuntiae Cockerell (Hemiptera: Dactylopiidae) en condiciones de invernadero

A nivel nacional e internacional, la cochinilla silvestre Dactylopius opuntiae es considerada el enemigo principal del nopal (Opuntia spp.)debido a los daños severos y a las pérdidas económicas que ocasiona. En otros países se han realizado estudios para conocer su biología, comportamiento y crecimiento poblacional; pero a pesar de su importancia socioeconómica, en México se han realizado pocas investigaciones sobre esta especie. El objetivo de este estudio fue estimar la supervivencia y reproducción de D. opuntiae en condiciones semicontroladas, a fin de generar información básica que permita implementar una estrategia de manejo y reducir su impacto nocivo. Para conocer el ciclo de vida y determinar los parámetros poblacionales de D. opuntiae se establecieron cohortes en cladodios individuales de Opuntia ficus-indicacv. Villanueva; éstas se monitorearon de agosto a diciembre del 2017. Durante su ciclo de desarrollo se registraron supervivencia (lx), proporción sexual ♀/♂ y fertilidad de hembras adultas (mx). Los resultados mostraron que la tasa neta de reproducción (Ro) fue de 26.09, expresada en el número de hembras recién nacidas por hembra; el tiempo de generación (T) fue de 63.61 d y la tasa intrínseca de crecimiento poblacional (rm) fue de 0.05 hembras∙d-1. Esta estrategia reproductiva y otras características permiten a D. opuntiae colonizar rápidamente la planta; debido a ello, la especie puede ser un fitófago de importancia económica en zonas donde el género Opuntiaes silvestre o cultivo.

Biology and population growth parameters of the cotton mealybug, Phenacoccus solenopsis Tinsley (Hemiptera: Pseudococcidae), on five host plant species

AbstractThe cotton mealybug,Phenacoccus solenopsisTinsley (Hemiptera: Pseudococcidae), is an invasive pest of cotton, apart from several other important crops, and poses a serious threat to agricultural economy all over the world. Studies on the biology and population growth parameters ofP. solenopsison the five most preferred host plants, namely cotton (Gossypium hirsutumL.) (Malvaceae), China rose (Hibiscus rosa-sinensisL.) (Malvaceae), tomato (Lycopersicon esculentumMill.) (Solanaceae), congress grass (Parthenium hysterophorusL.) (Asteraceae) and okra (Abelmoschus esculentus(L.) Moench) (Malvaceae) were undertaken in the laboratory under controlled temperature and relative humidity. The mean cumulative development time of females was 16.61 days on cotton, 14.16 days on China rose, 14.13 days on okra, 14.00 days on tomato and 13.57 days on congress grass. The longest oviposition period was recorded on cotton (15.20 ± 1.87 days), while it was in the range of 9-10 days in the remaining host plants. Females lived longer (27.40 ± 1.76 days) when reared on cotton, while their life was shortest on tomato (14.60 ± 0.96 days). The highest fecundity was observed on cotton (328.30 ± 23.42), whereas it was found to be in the range 178-212 on the other hosts. The survival frequency from crawler to adult in females was highest on cotton (27.53%), while it was the lowest on tomato (15.87%). The highest net reproductive rate (284.3 females/female/generation), mean length of a generation (31.24 days), and intrinsic rate of increase (0.19 day−1) were recorded on cotton. The finite rate of increase was in the range of 1.18-1.20 (females/female/day) for all the selected host plants. The weekly multiplication rate was highest on China rose and congress grass (3.78), while it was the least on tomato (3.28). The corrected generation time was dissimilar in all the selected host plants, being highest on cotton (31.39 days) and the least on congress grass (27.71 days). The doubling time was shortest on congress grass (3.61 days), while it was longest on tomato (4.11 days). Hence, the host plant species significantly affects population growth ofP. solenopsis.

Protruding organic surfaces triggered by in-plane electric fields

Coatings with a dynamic surface topography are of interest for applications in haptics, soft robotics, cell growth in biology, hydro- and air dynamics and tribology. Here we propose a design for creating oscillating surface topographies in thin liquid crystal polymer network coatings under an electric field. By applying an alternating electric field, the coating surface deforms, and pre-designed local corrugations appear. The continuous AC electric field further initiates oscillations superimposed on the formed topographies. This effect is based on microscopic free volume creation. By exciting the liquid crystal network at its resonance frequency, maximum free volume is generated and large surface topographies are formed. Molecular simulation is used to examine this behaviour in microscopic detail as a function of oscillation frequency. Surface topography formation is fast and reversible. Excess free volume is energetically unfavourable, thus the surface topographies disappear within seconds once the electric field is removed.

Rivers of God, Rivers of Empire: Climate Extremes, Environmental Transformation and Agroecology in Colonial Mexico

Abstract This paper explores the social-ecological effects of the Little Ice Age (1300-1850) in colonial Central Mexico. Archival research reconstructs the history of climate, soil, water and agriculture in two Central Mexican watersheds: the Zahuapan River in Tlaxcala and the San Juan River in the Teotihuacan Valley. I clarify social-ecological and landscape responses to climate stress, along with changing human resilience/vulnerability to anomalous weather. The methodology is interdisciplinary, comparing natural climate archives (plant and mineral) to historical climate archives (texts and images), examining hydrological and edaphic evidence and contextualising social-ecological change within a framework of indigenous agrarian innovation. Together, this research reveals a critical transition from nature-induced to anthropogenic cataclysms after the Late Maunder Minimum (1684-1713). Before this disjuncture, floods were rare events driven by extraordinary precipitation and without significant hydromorphological change. Afterward, cataclysms were frequent, poorly correlated to precipitation trends and determined by anthropogenic accelerated soil erosion that transformed watersheds. Evidence from both basins demonstrates the rapid onset of deep hillside erosion and valley sedimentation after 1715. I argue that the combined ecological shock of colonialism and climate was mediated by early-colonial indigenous agrosystems, resulting in transformation without lasting degradation. The transformative potential of the Little Ice Age lay dormant until the Late Maunder Minimum intersected with the metepantli system, a new agrarian regime based on the cultivation of agave plants in monocropped sloping terraces for the extraction of pulque (a beer-like beverage), whose economic wealth belied its impoverished ecology. Not only does this paper challenge - even negate - arguments that link degradation to early-colonial biology, pre-Columbian agriculture or eighteenth-century population growth; it identifies the Late Maunder Minimum as a transformative moment in colonial ecosystems - and, by extension, society - that gave rise to a degraded and devious landscape.

Design and synthesis of yeast chromosomes.

With the rapid growth and development of synthetic biology, research in the genomics is advancing from genome sequencing to genome synthesis. In 2009, Professor Jef D. Boeke proposed the Synthetic Yeast Genome Project (Sc2.0), which aims to synthesize the world's first eukaryotic genome. With the efforts of scientists from the United States, China, Britain, France, Australia, Singapore and other countries, a third of the Saccharomyces cerevisiae chromosomes has now been synthesized. In the perspectives of synthetic genomics, we here review the recent progress in the Sc2.0 project, including discussion on the right arm of chromosome 9, and chromosomes 2, 5, 6, 10, 12, in terms of their designs and synthetic strategy as well as the biological significance, thereby providing a reference for further research in synthetic genomics.

Mirnovo: genome-free prediction of microRNAs from small RNA sequencing data and single-cells using decision forests.

The discovery of microRNAs (miRNAs) remains an important problem, particularly given the growth of high-throughput sequencing, cell sorting and single cell biology. While a large number of miRNAs have already been annotated, there may well be large numbers of miRNAs that are expressed in very particular cell types and remain elusive. Sequencing allows us to quickly and accurately identify the expression of known miRNAs from small RNA-Seq data. The biogenesis of miRNAs leads to very specific characteristics observed in their sequences. In brief, miRNAs usually have a well-defined 5′ end and a more flexible 3′ end with the possibility of 3′ tailing events, such as uridylation. Previous approaches to the prediction of novel miRNAs usually involve the analysis of structural features of miRNA precursor hairpin sequences obtained from genome sequence. We surmised that it may be possible to identify miRNAs by using these biogenesis features observed directly from sequenced reads, solely or in addition to structural analysis from genome data. To this end, we have developed mirnovo, a machine learning based algorithm, which is able to identify known and novel miRNAs in animals and plants directly from small RNA-Seq data, with or without a reference genome. This method performs comparably to existing tools, however is simpler to use with reduced run time. Its performance and accuracy has been tested on multiple datasets, including species with poorly assembled genomes, RNaseIII (Drosha and/or Dicer) deficient samples and single cells (at both embryonic and adult stage).

Rapid Characterization of Bacterial Electrogenicity Using a Single-Sheet Paper-Based Electrofluidic Array.

Electrogenicity, or bacterial electron transfer capacity, is an important application which offers environmentally sustainable advances in the fields of biofuels, wastewater treatment, bioremediation, desalination, and biosensing. Significant boosts in this technology can be achieved with the growth of synthetic biology that manipulates microbial electron transfer pathways, thereby potentially significantly improving their electrogenic potential. There is currently a need for a high-throughput, rapid, and highly sensitive test array to evaluate the electrogenic properties of newly discovered and/or genetically engineered bacterial species. In this work, we report a single-sheet, paper-based electrofluidic (incorporating both electronic and fluidic structure) screening platform for rapid, sensitive, and potentially high-throughput characterization of bacterial electrogenicity. This novel screening array uses (i) a commercially available wax printer for hydrophobic wax patterning on a single sheet of paper and (ii) water-dispersed electrically conducting polymer mixture, poly(3,4-ethylenedioxythiophene):polystyrene sulfonate, for full integration of electronic and fluidic components into the paper substrate. The engineered 3-D, microporous, hydrophilic, and conductive paper structure provides a large surface area for efficient electron transfer. This results in rapid and sensitive power assessment of electrogenic bacteria from a microliter sample volume. We validated the effectiveness of the sensor array using hypothesis-driven genetically modified Pseudomonas aeruginosa mutant strains. Within 20 min, we observed that the sensor platform successfully measured the electricity-generating capacities of five isogenic mutants of P. aeruginosa while distinguishing their differences from genetically unmodified bacteria.

Tracking the emergence of synthetic biology

Synthetic biology is an emerging domain that combines biological and engineering concepts and which has seen rapid growth in research, innovation, and policy interest in recent years. This paper contributes to efforts to delineate this emerging domain by presenting a newly constructed bibliometric definition of synthetic biology. Our approach is dimensioned from a core set of papers in synthetic biology, using procedures to obtain benchmark synthetic biology publication records, extract keywords from these benchmark records, and refine the keywords, supplemented with articles published in dedicated synthetic biology journals. We compare our search strategy with other recent bibliometric approaches to define synthetic biology, using a common source of publication data for the period from 2000 to 2015. The paper details the rapid growth and international spread of research in synthetic biology in recent years, demonstrates that diverse research disciplines are contributing to the multidisciplinary development of synthetic biology research, and visualizes this by profiling synthetic biology research on the map of science. We further show the roles of a relatively concentrated set of research sponsors in funding the growth and trajectories of synthetic biology. In addition to discussing these analyses, the paper notes limitations and suggests lines for further work.

Patterns of Growth—Biomimetics and Architectural Design

This paper discusses the approach of biomimetic design in architecture applied to the theme of growth in biology by taking two exemplary research projects at the intersection of arts and sciences. The first project, ‘Biornametics’, dealt with patterns from nature; the second project ‘Growing as Building (GrAB)’ took on biological growth as a specific theme for the transfer to architecture and the arts. Within a timeframe of five years (2011–2015), the research was conducted under the Program for Arts-based Research PEEK (Programm zur Entwicklung und Erschliessung der Künste) of the Austrian Science Fund FWF (Fonds zur Förderung der wissenschaftlichen Forschung). The underlying hypothesis was that growth processes in nature have not been studied for transfer into technology and architecture yet and that, with advanced software tools, promising applications could be found. To ensure a high degree of innovation, this research was done with an interdisciplinary team of architects, engineers, and scientists (mainly biologists) to lay the groundwork for future product-oriented technological solutions. Growth, as one of the important characteristics of living organisms, is used as a frame for research into systems and principles that shall deliver innovative and sustainable solutions in architecture and the arts. Biomimetics as a methodology was used to create and guide information transfer from the life sciences to innovative proto-architectural solutions. The research aimed at transferring qualities present in biological growth; for example, adaptiveness, exploration, or local resource harvesting into technical design and production processes. In contrast to our current building construction, implementing principles of growth could potentially transform building towards a more integrated and sustainable setting, a new living architecture. Tools and methods, especially Quality Function Deployment (QFD) for matching biological role models with growth principles and architecturally desired functions and a Biolab as an experimentation platform are presented. Three main experimental trajectories were explored that matched the objectives of the research: (1) Transfer from biology into architecture, namely self-growing structures (proto-steps in form of a mobile 3D printer working with local material); (2) Integration of biology into material systems, namely fragmented waste matter grown into one solid building material (mycelium); and (3) Interventions in existing architecture, namely optimization of 3D path-finding through a single cell organism (slime mold).

Location and functional analysis of the Aspergillus nidulans Aurora kinase confirm mitotic functions and suggest non-mitotic roles

Filamentous fungi have devastating negative impacts as pathogens and agents of food spoilage but also have critical ecological importance and are utilized for industrial applications. The characteristic multinucleate nature of filamentous fungi is facilitated by limiting if, when and where septation, the fungal equivalent of cytokinesis, occurs. In the model filamentous fungus Aspergillus nidulans septation does not occur immediately after mitosis and is an incomplete process resulting in the formation of a septal pore whose permeability is cell cycle regulated. How mitotic regulators, such as the Aurora kinase, contribute to the often unique biology of filamentous fungi is not well understood. The Aurora B kinase has not previously been investigated in any detail during hyphal growth. Here we demonstrate for the first time that Aurora displays cell cycle dependent locations to the region of forming septa, the septal pore and mature septa as well as the mitotic apparatus. To functionally analyze Aurora, we generated a temperature sensitive allele revealing essential mitotic and spindle assembly checkpoint functions consistent with its location to the kinetochore region and spindle midzone. Our analysis also reveals that cellular and kinetochore Aurora levels increase during a mitotic spindle assembly checkpoint arrest and we propose that this could be important for checkpoint inactivation when spindle formation is prevented. We demonstrate that Aurora accumulation at mature septa following mitotic entry does not require mitotic progression but is dependent upon a timing mechanism. Surprisingly we also find that Aurora inactivation leads to cellular swelling and lysis indicating an unexpected function for Aurora in fungal cell growth. Thus in addition to its conserved mitotic functions our data suggest that Aurora has the capacity to be an important regulator of septal biology and cell growth in filamentous fungi.

A systemic approach of urban resilience: power laws and urban growth patterns

Resilient historical cities are the product of evolution and they have been shaped by incremental adaptation to fluctuations and by shocks of various magnitudes. Adaptive complex cities operate as systems and they obey certain universal laws: the distribution of elements reflects organic growth processes, such as the ones described by allometric growth and inverse power laws in biology. Their elements and connections organization does not obey Gaussian laws (concentration around averages). They are not aggregates of inert elements but integrated highly differentiated self-organized wholes. They exhibit a hierarchical configurational order characteristic of complex adaptive systems, with nested subsystems ordered in a hierarchy of scales united by mathematical regularities. Planners need to be aware of these laws of adaptive complexity and plan with rather than counter to these emergent properties in order to enhance resilience. Understanding the universality of complex systems order, which characterizes living systems, and which modernist city planning has violated, would allow planning more resilient cities.