Buoyancy regulation in light-limited continuous cultures of Microcystis aeruginosa

Microcystis aeruginosa was grown in light-limited continuouscultures at different growth rates on light-dark cycles at variousphotopenods. Due to the strength of the gas vesicles the organismwas not able to collapse its gas vesicles by turgor pressure.Below the maximal growth rate, the organism was buoyant dueto its high gas vesicle content. The results suggested thatthe rate of gas vesicle synthesis was not regulated. Upon atransition to high irradiance it took several hours before thecells lost their buoyancy due to polyglucan accumulation. Theresults are interpreted in an ecological context and it is suggestedthat Microcystis is an epilimnetic species due to its buoyancyregulation.     

Responses of respiration and photosynthesis of Scenedesmus protuberans Fritsch to gradual and steep salinity increases

The effect of an increase in salinity on the physiology of thehalotolerant chlorophyte Scenedesmus protuberans was studiedin light-limited continuous cultures. It was observed that agradual, as well as a steep increase in salinity resulted inlower biomass. However, the mechanisms by which this was achievedwere different. In the culture that was exposed to a gradualsalinity increase, respiration and the cellular protein contentof the culture were initially unaffected. However, this culturewas not able to maintain its cellular chlorophyll content and,consequently, gross and net photosynthesis decreased. The culturethat was exposed to a steep salinity increase rapidly reactedby increasing its respiration and cellular protein content,which is ascribed to an induction of osmoregulation. This culturewas able to maintain its gross photosynthesis rate. It is speculatedthat, in this species, a steep salinity increase induces a nearlyimmediate osmoregulatory response, allowing growth to continue.If the cells are exposed to a gradual salinity increase, inductionof osmoregulation lags behind and, consequently, photosynthesisand growth rate will be^* affected.     

Preservation of the light field in turbid lake and river water in laboratory-scale enclosure

The laboratory-scale enclosure (LSE), as a physical model ofthe water column, has been introduced for studies of sestondynamics in shallow, mixed lakes. Preserving the ‘natural’underwater light climate was among the design criteria. However,lateral exchange of light between the LSE cylinder and its waterbath caused deviations from conditions in the water column insitu. Two modifications of the original design are introducedby providing the LSE cylinder with (i) a masking plate and (ii)a reflective coating. The light fields in the original and modifieddesigns are compared for Osciiiatoria limnetica culture andWestern Scheldt Estuary water. These test suspensions had dryweight concentrations of 50 mg 1^–1 and differed widelyin scattering to absorption ratios, i.e. 4 and 12 for the cultureand natural water, respectively. Using the reflective coating,the LSE provided an underwater light field conforming to generaltheory for diffuse attenuation and reflectance. Using the maskingplate may suffice for cultures of cyanobacteria, but the reflectivecoating is needed for studies of phytoplankton growth in relationto the optical conditions in turbid lake and river water.     

Are the spatial patterns of weeds scale-invariant?

In previous empirical and modelling studies of rare species and weeds, evidence of fractal behaviour has been found. We propose that weeds in modern agricultural systems may be managed close to critical population dynamic thresholds, below which their rates of increase will be negative and where scale-invariance may be expected as a consequence. We collected detailed spatial data on five contrasting species over a period of three years in a primarily arable field. Counts in 20×20 cm contiguous quadrats, 225,000 in 1998 and 84,375 thereafter, could be re-structured into a wide range of larger quadrat sizes. These were analysed using three methods based on correlation sum, incidence and conditional incidence. We found non-trivial scale invariance for species occurring at low mean densities and where they were strongly aggregated. The fact that the scale-invariance was not found for widespread species occurring at higher densities suggests that the scaling in agricultural weed populations may, indeed, be related to critical phenomena.     

Only the Carrot,Not the Stick: Incorporating Trust into the Enforcement of Regulation

New enforcement strategies allow agents to gain the regulator’s trust and consequently face a lower audit probability. Prior research suggests that, in order to prevent lower compliance, a reduction in the audit probability (the “carrot”) must be compensated with the introduction of a higher penalty for non-compliance (the “stick”). However, such carrot-and-stick strategies reflect neither the concept of trust nor the strategies observed in practice. In response to this, we define trust-based regulation as a strategy that incorporates rules that allow trust to develop, and using a generic (non-cooperative) game of tax compliance, we examine whether trust-based regulation is feasible (i.e., whether, in equilibrium, a reduction in the audit probability, without ever increasing the penalty for non-compliance, does not lead to reduced compliance). The model shows that trust-based regulation is feasible when the agent sufficiently values the future. In line with the concept of trust, this strategy is feasible when the regulator is uncertain about the agent’s intentions. Moreover, the model shows that (i) introducing higher penalties makes trust-based regulation less feasible, and (ii) combining trust and forgiveness can lead to a lower audit probability for both trusted and distrusted agents. Policy recommendations often point toward increasing deterrence. This model shows that the opposite can be optimal.     

Relating Phylogenetic Trees to Transmission Trees of Infectious Disease Outbreaks

Transmission events are the fundamental building blocks of the dynamics of any infectious disease. Much about the epidemiology of a disease can be learned when these individual transmission events are known or can be estimated. Such estimations are difficult and generally feasible only when detailed epidemiological data are available. The genealogy estimated from genetic sequences of sampled pathogens is another rich source of information on transmission history. Optimal inference of transmission events calls for the combination of genetic data and epidemiological data into one joint analysis. A key difficulty is that the transmission tree, which describes the transmission events between infected hosts, differs from the phylogenetic tree, which describes the ancestral relationships between pathogens sampled from these hosts. The trees differ both in timing of the internal nodes and in topology. These differences become more pronounced when a higher fraction of infected hosts is sampled. We show how the phylogenetic tree of sampled pathogens is related to the transmission tree of an outbreak of an infectious disease, by the within-host dynamics of pathogens. We provide a statistical framework to infer key epidemiological and mutational parameters by simultaneously estimating the phylogenetic tree and the transmission tree. We test the approach using simulations and illustrate its use on an outbreak of foot-and-mouth disease. The approach unifies existing methods in the emerging field of phylodynamics with transmission tree reconstruction methods that are used in infectious disease epidemiology.     

Finding Evidence for Local Transmission of Contagious Disease in Molecular Epidemiological Datasets

Surveillance systems of contagious diseases record information on cases to monitor incidence of disease and to evaluate effectiveness of interventions. These systems focus on a well-defined population; a key question is whether observed cases are infected through local transmission within the population or whether cases are the result of importation of infection into the population. Local spread of infection calls for different intervention measures than importation of infection. Besides standardized information on time of symptom onset and location of cases, pathogen genotyping or sequencing offers essential information to address this question. Here we introduce a method that takes full advantage of both the genetic and epidemiological data to distinguish local transmission from importation of infection, by comparing inter-case distances in temporal, spatial and genetic data. Cases that are part of a local transmission chain will have shorter distances between their geographical locations, shorter durations between their times of symptom onset and shorter genetic distances between their pathogen sequences as compared to cases that are due to importation. In contrast to generic clustering algorithms, the proposed method explicitly accounts for the fact that during local transmission of a contagious disease the cases are caused by other cases. No pathogen-specific assumptions are needed due to the use of ordinal distances, which allow for direct comparison between the disparate data types. Using simulations, we test the performance of the method in identifying local transmission of disease in large datasets, and assess how sensitivity and specificity change with varying size of local transmission chains and varying overall disease incidence.     

Disease Burden of 32 Infectious Diseases in the Netherlands, 2007-2011

BackgroundInfectious disease burden estimates provided by a composite health measure give a balanced view of the true impact of a disease on a population, allowing the relative impact of diseases that differ in severity and mortality to be monitored over time. This article presents the first national disease burden estimates for a comprehensive set of 32 infectious diseases in the Netherlands.ConclusionsFor guiding and supporting public health policy decisions regarding the prioritisation of interventions and preventive measures, estimates of disease burden and the comparison of burden between diseases can be informative. Although the collection of disease-specific parameters and estimation of incidence is a process subject to continuous improvement, the current study established a baseline for assessing the impact of future public health initiatives.     

Probing the Tumor Suppressor Function of BAP1 in CRISPR-Engineered Human Liver Organoids

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