A comparison of HPLC pigment analyses and biovolume estimates of phytoplankton groups in an oligotrophic lake

Assessment of the contribution of distinct algal groups to phytoplanktonbiomass in oligotrophic lakes by marker pigments is comparedwith assessment by cell-counting biovolume estimates. Seasonalsamples from an oligotrophic alpine lake (Redon, Pyrenees) mostlyincluded species of chrysophytes, dinoflagellates, cryptophytesand chlorophytes. The chlorophyl a (Chl a) corresponding toeach algal group was estimated using HPLC pigment analyses andthe CHEMTAX program. Chl a estimates and biovolume showed asignificant correlation for all the groups during the ice-freeseason except for chlorophytes. However, some of the samplesfrom the initial phase of the ice cover presented a clear departurefrom the relationship during the ice-free period in most groups.On the other hand, the ratios between a specific marker pigmentand the biovolume of the marked algal group were significantlyconstant within the photic zone (>1% surface irradiance)for most of the pigments and groups, including chlorophytes.Nevertheless, the ratios increased and showed a large variabilityfor samples below the photic depth or below the ice cover. Theviolaxanthin-chrysophyte biovolume ratio presented an opposedtendency to other pigment-biovolume ratios, which increasedin inverse proportion to the depth of the sample. The resultsare discussed in terms of methodological limitations, acclimationresponses and species composition.     

The relationship between phytoplankton biovolume and chlorophyll in a deep oligotrophic lake: decoupling in their spatial and temporal maxima

The seasonal distributions of phytoplankton biovolume and chlorophylla content were monitored for 14 months in a deep oligotrophic,high mountain lake (Redó, Pyrenees). An allometric relationshipof chlorophyll with biovolume was found throughout the periodstudied, with a correlation coefficient of 0.66. However, therelationship changed with season and the taxonomic compositionof the phytoplankton. Both parameters showed a similar seasonalpattern, but differences in space and time were observed. Thechlorophyll maximum was recorded deeper and later than thatof phytoplankton biovolume. While the biovolume maximum wasrelated to an improvement in conditions for growth (nutrientinput during column mixing periods), and reflected an increasein biomass, the chlorophyll maximum was related to changes incell pigment content, and to spatial or successional trendsin species dominance. Flagellated chrysophytes predominatedat the chlorophyll maxima. Chlorophyll content per unit of phytoplanktonbiovolume fluctuated greatly throughout the year, dependingon light intensity, temperature and phytoplankton composition.Of the main groups of phytoplankton in the lake, the dinoflagellates,which dominated the summer epilimnion phytoplankton community,recorded the lowest pigment content per biovolume (which isconsistent with their size). Higher chlorophyll contents perbiovolume were found in the deep hypolimnion and during thewinter cover period associated with small cells such as somespecies of chlorococcales chlorophytes. When flagellated chrysophyteswere predominant, a broad range of chlorophyll values per biovolumewas found and there was no significant correlation between thetwo biomass indices. These findings reaffirm the need to treatphytoplankton biomass estimates with caution, in particularwhen conducting primary production studies. While our resultsshow that changes in chlorophyll content per cell occur as aphotoacclimation response along a vertical profile, they alsopoint out a component of the successional trends which appearin a phytoplankton growth phase in a lake.     

A weighted test-area method for calculating surface tension

In this paper, we propose a weighted test-area method to calculate surface tension by incorporating the weighting factor from the Bennett method into the free energy perturbation scheme of the test-area method. This new method was tested by comparing against the results of the Bennett and test-area methods for simulations of square well (SW), Lennard-Jones and point charge fluid models. It is seen that the new method is accurate for all these simulations, giving the same results as the Bennett method, in contrast to the test-area method which cannot calculate the surface tension of a SW fluid. The new method converges as quickly, on the basis of computational time required, as the test-area method and almost twice as quickly as the Bennett method. This combination of speed and accuracy means that the weighted test-area method should be used in preference to the test-area method and Bennett method for surface tension and other macroscopic thermodynamic quantities that can be calculated through perturbation methods.     

Actomyosin contractility controls cell surface area of oligodendrocytes

Background  

To form myelin oligodendrocytes expand and wrap their plasma membrane multiple times around an axon. How is this expansion controlled?     

The influence of cell co-operation, nutrients and surface area on cell division

Abstract. Two opposite views have been proposed to explain the decline of the growth potential in cell populations with a limited life span: 1 variations in the probability of cycling and in cycling times or 2 a progressive increase in the nondividing cell fraction. Human brain-derived cells were studied with respect to their proliferative potential under the influence of different growth conditions, using haptotactic palladium islands on agarose. The results emphasize the need for cell co-operation, surface area and nutrients for cell division. These parameters also influence the final cell density. The results illustrate the multiple factors that can vary the probability of initiating the division cycle and stress the uncertainty of defining the irreversible non-dividing state.     

Effects of excluded surface area and adsorbate clustering on surface adsorption of proteins I. Equilibrium models

Statistical-thermodynamic models for the equilibrium adsorption of proteins onto homogeneous, locally planar surfaces are presented. An extension of earlier work [R.C. Chatelier, A.P. Minton, Biophys. J. 71 (1996) 2367], the models presented here allow for the formation of a broadly heterogeneous population of adsorbate clusters in addition to excluded volume interactions between all adsorbate species. Calculations are carried out for three simple models for the structure of adsorbate, illustrating similarities and differences in the equilibrium properties of maximally compact clusters, minimally compact clusters and isomerizing clusters. Depending upon the strength of attractive interactions between adsorbate molecules, the resulting equilibrium isotherms may exhibit negative cooperativity, positive cooperativity, essentially no apparent cooperativity, or a mixture of positive cooperativity at low surface density and negative cooperativity at high surface density of adsorbate. The condition of apparent lack of cooperativity, which might naively be interpreted as evidence of a lack of interaction between adsorbate molecules, actually conceals a balance between attractive and repulsive interactions and extensive clustering of adsorbate.     

Effects of excluded surface area and adsorbate clustering on surface adsorption of proteins. II. Kinetic models

Models for equilibrium surface adsorption of proteins have been recently proposed (Minton, A. P., 2000. Biophys. Chem. 86:239-247) in which negative cooperativity due to area exclusion by adsorbate molecules is compensated to a variable extent by the formation of a heterogeneous population of monolayer surface clusters of adsorbed protein molecules. In the present work this concept is extended to treat the kinetics of protein adsorption. It is postulated that clusters may grow via two distinct kinetic pathways. The first pathway is the diffusion of adsorbed monomer to the edge of a preexisting cluster and subsequent accretion. The second pathway consists of direct deposition of a monomer in solution onto the upper (solution-facing) surface of a preexisting cluster ("piggyback" deposition) and subsequent incorporation into the cluster. Results of calculations of the time course of adsorption, carried out for two different limiting models of cluster structure and energetics, show that in the absence of piggyback deposition, enhancement of the tendency of adsorbate to cluster can reduce, but not eliminate, the negative kinetic cooperativity due to surface area exclusion by adsorbate. Apparently noncooperative (Langmuir-like) and positively cooperative adsorption progress curves, qualitatively similar to those reported in several published experimental studies, require a significant fraction of total adsorption flux through the piggyback deposition pathway. According to the model developed here and in the above-mentioned reference, the formation of surface clusters should be a common concomitant of non-site-specific surface adsorption of proteins, and may provide an important mechanism for assembly of organized "protein machines" in vivo.     

Copper adsorption kinetics of cultured algal cells and freshwater phytoplankton with emphasis on cell surface characteristics

Comparative studies were carried out on the adsorption of copper by a range of laboratory-cultured algae and freshwater phytoplankton samples. The level of surface mucilage associated with the cultured algae ranged from high (Anabaena spiroides, Eudorina elegans) to moderate (Anabaena cylindrica, Microcystis aeruginosa) to complete absence (Chlorella vulgaris, Asterionella formosa, Aulacoseira varians, Ceratium hirundinella). With laboratory cultures, the rapid uptake, EDTA release and quantitative similarity between living and dead (glutaraldehyde-fixed) algae were consistent with physical binding of Cu at the cell surface. The higher Cu adsorption per unit surface area and longer adsorption time of mucilaginous algae in the time-course study, and the relatively high level of Cu bound to mucilage found by X-ray microanalysis suggest that mucilage played an important role in metal binding. For all species examined, Cu adsorption kinetics (external Cu concentrations 1 to 1000 mg L⁻¹) showed a clear fit to the Freundlich, but not the Langmuir isotherm, indicating a monolayer adsorption model with heterogenous binding sites. The Freundlich adsorption capacity constant (K_f) was higher in mucilaginous (3.96–12.62) compared to nonmucilaginous (0.36–3.63) species, but binding intensity (Freundlich constant 1/n) did not differ between the two cell types. The results suggest that mucilaginous algal species may have potential as biosorbents for treatment of industrial effluents containing heavy metals. Investigation of the Cu adsorption behavior of four mixed phytoplankton samples also revealed a good fit to the Freundlich, but not the Langmuir, isotherm. Freundlich constants were in the range 2.3–3.2 for samples dominated by Chlorophyta, Bacillariophyta and Cyanophyta, but recorded a value of 7.4 in the sample dominated by Dinophyta. Comparison with data from laboratory monocultures suggested that the adsorption kinetics of mixed environmental phytoplankton samples cannot be predicted simply in terms of the major algal species.     

A morphometric method for correcting phytoplankton cell volume estimates

Summary Cell volume calculations are often used to estimate biomass of natural phytoplankton assemblages. Such estimates may be questioned due to morphological differences in the organisms present. Morphometric analysis of 8 species representative of phytoplankton types found in the Great Lakes shows significant differences in cell constituent volumes. Volume of physiologically inert wall material ranges from nil, in some flagellates, to over 20% of the total cell volume in certain diatoms. Likewise, empty vacuole may comprise more than 40% of the total cell volume of some diatoms, but less than 3% of the volume of some flagellates. In the organisms investigated, the total carbon containing cytoplasm ranged from 52% to 98% of the total cell volume and the metabolizing biovolume ranged from 30% to 82%. Although these differences complicate direct biomass estimation, morphometric analysis at the ultrastructural level may provide ecologically valuable insights.     

Analysis of hydrostatic pressure-induced changes in umbrella cell surface area

All cells experience and respond to external mechanical stimuli including shear stress, compression, and hydrostatic pressure. Cellular responses can include changes in exocytic and endocytic traffic. An excellent system to study how extracellular forces govern membrane trafficking events is the bladder umbrella cell, which lines the inner surface of the mammalian urinary bladder. It is hypothesized that umbrella cells modulate their apical plasma membrane surface area in response to hydrostatic pressure. Understanding the mechanics of this process is hampered by the lack of a suitable model system. We describe a pressure chamber that allows one to increase hydrostatic pressure in a physiological manner while using capacitance to monitor real-time changes in the apical surface area of the umbrella cell. It is demonstrated that application of hydrostatic pressure results in an increase in umbrella cell apical surface area and a change in the morphology of umbrella cells from roughly cuboidal to squamous. This process is dependent on increases in cytoplasmic Ca(2+). This system will be useful in further dissecting the mechanotransduction pathways involved in cell shape change and regulation of exocytic and endocytic traffic in umbrella cells.     

Mechanisms of attack and defence at the cell surface: The use of phospholipid bilayers as models for cell membrane

Electrical conductivity across phospholipid bilayers induced by various cytotoxic proteins has been used to analyse the damaging action of such proteins on cells; the protective effect of divalent cations and protons against such attack has also been investigated. The predominant effect of divalent cations and protons is to promote the closed state of membrane pores, i.e. to gate protein-induced lesions.     

Stochastic models for cell kinetics

A survey is given of branching process type methods in cell kinetics. Some results are given that allow circadian rhythm and do not require complete independence between cells. Some more classical results on balanced exponential growth are given and some comments are made on flow microfluorometry.     

Stochastic models for cell motion and taxis

Certain biological experiments investigating cell motion result in time lapse video microscopy data which may be modeled using stochastic differential equations. These models suggest statistics for quantifying experimental results and testing relevant hypotheses, and carry implications for the qualitative behavior of cells and for underlying biophysical mechanisms. Directional cell motion in response to a stimulus, termed taxis, has previously been modeled at a phenomenological level using the Keller-Segel diffusion equation. The Keller-Segel model cannot distinguish certain modes of taxis, and this motivates the introduction of a richer class of models which is nevertheless still amenable to statistical analysis. A state space model formulation is used to link models proposed for cell velocity to observed data. Sequential Monte Carlo methods enable parameter estimation via maximum likelihood for a range of applicable models. One particular experimental situation, involving the effect of an electric field on cell behavior, is considered in detail. In this case, an Ornstein- Uhlenbeck model for cell velocity is found to compare favorably with a nonlinear diffusion model.     

Nitrogen uptake by heterotrophic bacteria and phytoplankton in Arctic surface waters

We estimated rates of heterotrophic bacterial and phytoplanktonuptake of nitrate, ammonium, and urea using ¹⁵N-labelled nitrogenand specific metabolic inhibitors of prokaryote and eukaryotenitrogen metabolism in the surface waters of the North Water(northern Baffin Bay) during autumn that were characterizedby the absence of cyanobacteria (comprising prochlorophytes).The percentage of nitrate + ammonium uptake by heterotrophicbacteria ranged between 44 and 78% of the measured total uptakeand was the highest when the phytoplankton biomass was relativelylow (<2 µg Chlorophyll a L^–1). Phytoplanktonaccounted for a larger fraction (e.g., 58–95%) of ureauptake than heterotrophic bacteria. When our results are combinedwith those from previous studies carried out in diverse temperateand polar areas, it appears that heterotrophic bacteria accountfor 25% (14–40%; median and interquartile range) of thetotal nitrate uptake in surface waters with chlorophyll biomass<2 µg L^–1. Estimates of new production computedfrom phytoplankton carbon uptake and f-ratios may be stronglyoverestimated in regions where nitrate uptake by heterotrophicbacteria is high and the biomass of phytoplankton is low.     

Geometric characterization of cell membrane of mouse oocytes for ICSI

Intracytoplasmic sperm injection (ICSI) is a broadly utilized assisted reproductive technology. A number of technologies for this procedure have evolved lately, such as the most commonly utilized piezo-assisted ICSI technique (P-ICSI). An important problem with this technique, however, is that it requires a small amount of mercury to stabilize the tip of the penetration micropipette. A completely different and mercury-free injection technology, called the rotationally oscillating drill (Ros-Drill) (RD-ICSI), was recently developed. It uses microprocessor-controlled rotational oscillations of a spiked micropipette after the pipette deforms the membrane to a certain tension level. Inappropriate selection of this initiation instant typically results in cell damage, which ultimately leads to unsuccessful ICSI. During earlier manual clinical tests of Ros-Drill, the technicians' expertise determined this instant in an ad hoc fashion. In this paper, we introduce a computer-vision-based tool to mechanize this process with the objective of maintaining the repeatability and introducing potential automation. Computer images are used for monitoring the membrane deformations and curvature variations as the basis for decision making. The main contribution of this paper is in the specifics of the computer logic to perform the monitoring. These new tools are expected to provide a practicable means for automating the Ros-Drill-assisted ICSI operation.