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Microbial communities and their interactions in biofilm systems: an overview.

Several important advances have been made in the study of biofilm microbial populations relating to their spatial structure (or architecture), their community structure, and their dependence on physicochemical parameters. With the knowledge that hydrodynamic forces influence biofilm architecture came the realization that metabolic processes may be enhanced if certain spatial structures can be forced. An example is the extent of plasmid-mediated horizontal gene transfer in biofilms. Recent in situ work in defined model systems has shown that the biofilm architecture plays a role for genetic transfer by bacterial conjugation in determining how far the donor cells can penetrate the biofilm. Open channels and pores allow for more efficient donor transport and hence more frequent cell collisions leading to rapid spread of the genes by horizontal gene transfer. Such insight into the physical environment of biofilms can be utilized for bioenhancement of catabolic processes by introduction of mobile genetic elements into an existing microbial community. If the donor organisms themselves persist, bioaugmentation can lead to successful establishment of newly introduced species and may be a more successful strategy than biostimulation (the addition of nutrients or specific carbon sources to stimulate the authochthonous population) as shown for an enrichment culture of nitrifying bacteria added to rotating disk biofilm reactors using fluorescent in situ hybridization (FISH) and microelectrode measurements of NH4+, NO2-, NO3-, and O2. However, few studies have been carried out on full-scale systems. Bioaugmentation and bioenhancement are most successful if a constant selective pressure can be maintained favoring the promulgation of the added enrichment culture. Overall, knowledge gain about microbial community interactions in biofilms continues to be driven by the availability of methods for the rapid analysis of microbial communities and their activities. Molecular tools can be grouped into those suitable for ex situ and in situ community analysis. Non-spatial community analysis, in the sense of assessing changes in microbial populations as a function of time or environmental conditions, relies on general fingerprinting methods, like DGGE and T-RFLP, performed on nucleic acids extracted from biofilm. These approaches have been most useful when combined with gene amplification, cloning and sequencing to assemble a phylogenetic inventory of microbial species. It is expected that the use of oligonucleotide microarrays will greatly facilitate the analysis of microbial communities and their activities in biofilms. Structure-activity relationships can be explored using incorporation of 13C-labeled substrates into microbial DNA and RNA to identify metabolically active community members. Finally, based on the DNA sequences in a biofilm, FISH probes can be designed to verify the abundance and spatial location of microbial community members. This in turn allows for in situ structure/function analysis when FISH is combined with microsensors, microautoradiography, and confocal laser scanning microscopy with advanced image analysis.

Bacteria↗

Dispersal and distribution of the tick Ixodes uriae within and among seabird host populations: the need for a population genetic approach.

The aim of this study was to characterize the spatial distribution of the tick Ixodes uriae within and among populations of its seabird hosts and to consider the potential insight that could be gained by a population genetic approach to the issue of dispersal of this tick. Analyses of data collected around the Avalon Peninsula, Newfoundland, indicated that both the prevalence and mean abundance of ticks varied significantly among sample locations. Whereas ticks were found on all 4 host species examined (Rissa tridactyla, Uria aalge, Alca torda, Fratercula arctica), infestation prevalence and mean abundance differed among the species. On R. tridactyla, ticks were significantly aggregated at the among-nest scale and nestling infestation was spatially autocorrelated. Conversely, ticks were not aggregated among chicks within nests. These results enabled us to make a priori predictions regarding tick dispersal and host specificity and suggest there may be spatial structure of Ixodes uriae populations at both macro- and microgeographic scales. Investigating the population genetic structure of ticks within and among populations of hosts with different breeding biologies should provide direct insight into the metapopulation dynamics of such a spatially structured system.

Animals↗

Formation of spatial shell structure in the superfluid to Mott insulator transition.

We report on the direct observation of the transition from a compressible superfluid to an incompressible Mott insulator by recording the in-trap density distribution of a Bosonic quantum gas in an optical lattice. Using spatially selective microwave transitions and spin-changing collisions, we are able to locally modify the spin state of the trapped quantum gas and record the spatial distribution of lattice sites with different filling factors. As the system evolves from a superfluid to a Mott insulator, we observe the formation of a distinct shell structure, in good agreement with theory.

Journal Article↗

The iterated continuous prisoner's dilemma game cannot explain the evolution of interspecific mutualism in unstructured populations.

The evolutionionary origin of inter- and intra-specific cooperation among non-related individuals has been a great challenge for biologists for decades. Recently, the continuous prisoner's dilemma game has been introduced to study this problem. In function of previous payoffs, individuals can change their cooperative investment iteratively in this model system. Killingback and Doebeli (Am. Nat. 160 (2002) 421-438) have shown analytically that intra-specific cooperation can emerge in this model system from originally non-cooperating individuals living in a non-structured population. However, it is also known from an earlier numerical work that inter-specific cooperation (mutualism) cannot evolve in a very similar model. The only difference here is that cooperation occurs among individuals of different species. Based on the model framework used by Killingback and Doebeli (2002), this Note proves analytically that mutualism indeed cannot emerge in this model system. Since numerical results have revealed that mutualism can evolve in this model system if individuals interact in a spatially structured manner, our work emphasizes indirectly the role of spatial structure of populations in the origin of mutualism.

Altruism↗

[An approach to the problem of the structuro-functional organization of natural peptides].

Theory and computational scheme of three-dimensional structure and dynamic conformational properties of naturally occurring peptides are proposed basing on a known amino acid sequence. The diverse biological activity of a low-molecular peptide is shown to arise from a restricted number of preferable spatial structures which may occur under physiological conditions. Each particular function of an oligopeptide is connected to a definite spatial structure, belonging to the set of low-energy conformations from one biological activity of a peptide shift of the conformational equilibrium caused by a change of environmental conditions. This shift is provided for by specific intramolecular interactions, alternative in their nature, which stabilize a particular structure. An approach is suggested which enables to construct a synthetic analog with the predetermined physiologically active conformation, prior to all chemical and biological tests.

Amino Acid Sequence↗

Implications of the spatial variability of landfill emission rates on geospatial analyses.

Accurate methods quantifying whole landfill surface flux of methane are important for regulatory and research purposes. This paper presents the results from the analysis of chamber measurements utilizing geospatial techniques [kriging and inverse distance weighting (IDW)] to arrive at an estimation of the whole landfill surface flux from the spatially distributed chamber measurement points. The difficulties in utilizing these methods will be discussed. Methane flux was determined on approximately 20 m grid spacing and variogram analysis was performed in order to model spatial structure, which was used to estimate methane flux at unsampled locations through kriging. Our analysis indicates that while the semi-variogram model showed some spatial structure, IDW was a more accurate interpolation method for this particular site. This was seen in the comparison of the resulting contour maps. IDW, coupled with surface area algorithms to extract the total area of user defined contour intervals, provides a superior estimate of the methane flux as confirmed through the methane balance. It is critical that the results of the emissions estimates be viewed in light of the whole cell methane balance; otherwise, there is no rational check and balance system to validate the results.

Air Pollutants↗

Temporal and spatial development of surface soil conditions at two created riverine marshes.

The amount of time it takes for created wetlands to develop soils comparable to natural wetlands is relatively unknown. Surface soil changes over time were evaluated in two created wetlands (approximately 1 ha each) at the Olentangy River Wetland Research Park in Columbus, Ohio. The two wetlands were constructed in 1993 to be identical in size and geomorphology, and maintained to have the same hydrology. The only initial difference between the wetlands was that one was planted with native macrophytes while the other was not. In May 2004, soil samples were collected (10 yr and 2 mo after the wetlands were flooded) and compared to samples collected in 1993 (after the wetlands were excavated but before flooding) and 1995 (18 mo after the wetlands were flooded). In all three years, soils were split into surface (0-8 cm) and subsurface (8-16 cm) depths and analyzed for soil organic matter, total C, total P, available P, exchangeable cations, and pH. Soils in the two wetlands have changed substantially through sedimentation and organic accretion. Between 1993 and 1995, soils were most influenced by the deposition of senescent macroalgae, the mobilization of soluble nutrients, and the precipitation of CaCO(3). Between 1995 and 2004, soil parameters were influenced more by the deposition of organic matter from colonized macrophyte communities. Mean percent organic matter at the surface increased from 5.3 +/- 0.1% in 1993, 6.1 +/- 0.2% in 1995, to 9.5 +/- 0.2% in 2004. Mean total P increased from 493 +/- 18 microg g(-1) in 1993, 600 +/- 23 microg g(-1) in 1995, to 724 +/- 20 microg g(-1) in 2004. Spatial analyses of percent organic matter (a commonly used indicator of hydric soil condition) at both wetlands in 1993, 1995, and 2004 showed that soil conditions have become increasingly more variable. High spatial structure (autocorrelation) between data points was detected in 1993 and 2004, with data in 2004 exhibiting a much higher overall variance and narrower range of spatial structure than in 1993.

Calcium Carbonate↗

C-terminal domains of Escherichia coli topoisomerase I belong to the zinc-ribbon superfamily.

Detection of remote evolutionary connections is increasingly difficult with sequence and structural divergence. A combination of sequence and structural analysis, in which statistically supported sequence similarity had a crucial impact, revealed that Escherichia coli topoisomerase I C-terminal fragment is evolutionarily related to the three tetracysteine zinc-binding domains of the enzyme. Spatial structure analysis of this C-terminal fragment indicates that it consists of two structurally similar domains and suggests homology between them. Sequence similarity between the zinc-binding domains of type Ia topoisomerases and transcription regulators of known spatial structure helps to conclude that E. coli topo I contains five copies of a zinc ribbon domain at the C terminus. Two of these domains, corresponding to the C-terminal fragment, lost their cysteine residues and are probably not able to bind zinc. Present analyses lead to the classification of the C-terminal fragment of E. coli topoisomerase I as a member of zinc ribbon superfamily, despite the absence of zinc-binding sites.

Amino Acid Sequence↗

Regeneration mode affects spatial genetic structure of Nothofagus dombeyi forests.

Disturbance may generate population bottlenecks by reducing population size and the number of founders establishing a new colony. We tested the hypothesis that the scale of disturbance affects the levels of genetic diversity and the spatial distribution of genotypes in naturally regenerating stands of Nothofagus dombeyi, an evergreen angiosperm tree, in northwestern Patagonia. At similar spatial scales, we predicted that old-growth stands characterized by fine-scale gap phase dynamics would be genetically diverse due to restricted gene flow among temporal and spatially isolated gaps. In contrast, young massively regenerated postfire cohorts resulting from coarse-scale disturbances would be genetically more homogeneous. At each of three paired old-growth and postfire stands a minimum of 50 trees were mapped and sampled within 1 ha. Fresh tissue was collected for isozyme analysis from a total of 361 trees along with tree cores and diameters. Tree age distributions reflected the dominant modes of regeneration. Six out of nine analysed loci were polymorphic. Mean genetic diversity parameters were greater but not significant in mature stands. Fixation indices suggested significant heterozygous deficit at two-thirds of possible tests indicating a Wahlund effect due to local recruitment of related seeds. F(ST) indicated moderate between-stand divergence. Mature stands concentrated half of positively like joins and yielded significant (P < 0.05) autocorrelation coefficients at small distance classes (< 20 m). Fine-scale patch dynamics within mature stands favours the maintenance of fine-scale genetic structure as a result of shade intolerance and local seed dispersal. Conversely, postfire stands suffer the effects of genetic drift given that a few reproductive trees produce a somewhat impoverished and genetically uniform progeny. Bottleneck effects will depend upon the density of remnant trees which could also be a function of the severity of fire.

Argentina↗

Normalization of the minimum spanning tree.

A problem of considerable interest in pattern recognition and data analysis is that of describing the spatial structure of a data set. In the field of biology this could be based on graph construction. Although the minimum spanning tree (MST), contains less information than the Relative Neighbourhood, Gabriel and Delaunay graphs [16], this graph has been frequently used [3-9]. The MST is a subgraph of all the preceding graphs. Two main types of parameters can be derived from a graph. Some of the parameters are derived from the structure of the graph (topological parameters), whereas others are based on the Euclidean metrics of the graph (edge lengths). Since these parameters are used to characterize the spatial structure of data sets, they have to be normalized so that different biological structures may be compared. A model for the normalization of the most common parameters derived from the MST is thus presented here. Two aspects of the problem are considered: (i) omission of the metrics associated dimension of the Euclidean parameters in order to compare biological structures at different scale factors and (ii) elimination of border effects to avoid border artefacts.

Data Interpretation, Statistical↗

[Structure-activity study of the basic toxic component of venom from the ant Ectatomma tuberculatum].

A toxic principle of the Ectatomma tuberculatum ant venom called ectatomin was isolated. Ectatomin is a protein with molecular weight 7928 Da. Its complete amino acid sequence and spatial structure in aqueous solution were determined by protein chemistry methods and NMR spectroscopy techniques. Ectatomin contains two highly homologous polypeptide chains linked to each other by a disulfide bond. The chains consist of 37 and 34 amino acid residues with an internal disulfide bridge in each. In aqueous solution the molecule forms a bundle of four amphipathic alpha-helices. This toxin in a concentration of 0.05-0.01 mM forms potential dependent nonselective cation channels both in cell and artificial membranes. The channel is dimeric and the mechanism of its formation can be explained in terms of the spatial structure established.

Amino Acid Sequence↗

Molecular structure and spatial expression of a homeobox gene from the labial region of the Antennapedia-complex.

We report the molecular characterization of a homeobox-containing gene that maps at 84A in the proximal region of the Antennapedia-complex. The structure and complete sequence are presented. Deletion analysis indicates that the cloned gene, F24, most likely corresponds to the labial (lab) gene. Northern blot experiments show a single approximately 3-kb transcript that is expressed at all embryonic stages from cellular blastoderm onwards and during larval development. The homeobox is split by an intron in the region which encodes the putative DNA-binding helix, a splicing position for homeobox-containing genes which is unique so far. The 5' part of the gene contains four M-repeat sequences (CAA/G repeats) in the protein-coding region. In situ hybridization to the transcripts during embryogenesis reveals two domains of expression. The anterior one is located in parts of the developing head, mainly in the hypopharyngeal organ and in anterior parts of the mandibular lobe, and is restricted to the ectoderm. The posterior domain is part of the posterior midgut primordium (endoderm), that invaginates and later contacts the endoderm cells from the anterior midgut invagination.

Amino Acid Sequence↗

[Synthesis and properties of insulin modified on phenylalanine of chain B].

Lysyl and tetralysyl derivatives of insulin on phenylalanine of chain B were synthesized. The effects of modifications on the spatial structure and biological properties of the hormone were studied. It was found that an increase in the length of the modifier leads to a distortion of the hormone spatial structure resulting in a decrease of its biological activity.

Insulin↗

Pulse replications and spatially differentiated structure formation in one-dimensional lattice dynamical system.

Replication and differentiation of pulses are studied through a simple dynamical system on a one-dimensional lattice. Depending on the parameter values, our proposed system exhibits the following types of pulse replications: (I) each pulse replicates by itself, (II) each pulse replicates if two or more pulses collide each other, and (III) pulses replicate by the organization of pulse generators. Moreover, replicated pulses construct the spatial-temporal pattern when the number of pulses is large. By selecting local objects in such spatial-temporal patterns and replanting them numerically, it is found that there are two types differentiated local structures: one that continues the production of pulses and the other that does not.

Diffusion↗

Single amino acid substitutions producing instability of globular proteins. Calculation of their frequencies in the entire mutational spectra of the alpha- and beta-subunits of human hemoglobin.

The frequencies of substitutions resulting in protein instability were calculated by a method estimating changes in stability produced by amino acid substitutions. The method takes into account the accessibility of an amino acid position to a solvent and changes in the specificity of amino acid interactions. When tested on human mutant hemoglobins, the method yielded predictions with a preciseness of 80%. The consideration of the evolutionary homologous proteins in the analysis allowed us to estimate the evolutionary constraints imposed on stability of their spatial structure. With these limitations, approximately 50% of amino acid substitutions in the entire mutational spectra of the alpha- and beta-subunits of human hemoglobin were found to damage the spatial structure of the globular proteins.

Amino Acids↗

Aggregation of individual trees and patches in forest succession models: capturing variability with height structured, random, spatial distributions.

Individual based, stochastic forest patch models have the potential to realistically describe forest dynamics. However, they are mathematically intransparent and need long computing times. We simplified such a forest patch model by aggregating the individual trees on many patches to height-structured tree populations with theoretical random dispersions over the whole simulated forest area. The resulting distribution-based model produced results similar to those of the patch model under a wide range of conditions. We concluded that the height- structured tree dispersion is an adequate population descriptor to capture the stochastic variability in a forest and that the new approach is generally applicable to any patch model. The simplified model required only 4.1% of the computing time needed by the patch model. Hence, this new model type is well-suited for applications where a large number of dynamic forest simulations is required.

Bias↗