Browse
Submit Data
Databases
API
Help

Dataset Information

32 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Killer-sensitive coexistence in metapopulations of micro-organisms.

ABSTRACT: Many micro-organisms are known to produce efficient toxic substances against conspecifics and closely related species. The widespread coexistence of killer (toxin producer) and sensitive (non-producer) strains is a puzzle calling for a theoretical explanation. Based on stochastic cellular automaton simulations and the corresponding semi-analytical configuration-field approximation models, we suggest that metapopulation dynamics offers a plausible rationale for the maintenance of polymorphism in killer-sensitive systems. A slight trade-off between toxin production and population growth rate is sufficient to maintain the regional coexistence of toxic and sensitive strains, if toxic killing is a local phenomenon restricted to small habitat patches and local populations regularly go extinct and are renewed via recolonizations from neighbouring patches. Pattern formation on the regional scale does not play a decisive part in this mechanism, but the local manner of interactions is essential.

SUBMITTER: Czaran TL

PROVIDER: S-EPMC1691387 | biostudies-literature | 2003 Jul

REPOSITORIES: biostudies-literature

ACCESS DATA

Json Xml

Publications

Killer-sensitive coexistence in metapopulations of micro-organisms.

Czárán Tamás L TL Hoekstra Rolf F RF

Proceedings. Biological sciences 20030701 1522

Many micro-organisms are known to produce efficient toxic substances against conspecifics and closely related species. The widespread coexistence of killer (toxin producer) and sensitive (non-producer) strains is a puzzle calling for a theoretical explanation. Based on stochastic cellular automaton simulations and the corresponding semi-analytical configuration-field approximation models, we suggest that metapopulation dynamics offers a plausible rationale for the maintenance of polymorphism in ...[more]

PMID: 12965028

Similar Datasets

The Local Coexistence Pattern of Selfing Genotypes in Caenorhabditis elegans Natural Metapopulations.

Project description:To study the interplay of rare outcrossing and metapopulation structure, we focus on the nematode Caenorhabditis elegans Its remarkably low outcrossing rate is at the extreme end of the spectrum for facultative selfing organisms. At the demographic level, C. elegans natural populations undergo boom and bust dynamics on ephemeral resources, with the dauer diapause larva acting as the dispersal form. Here we investigate the small-scale genetic structure of C. elegans populations in two localities over several years, using 2b restriction-associated DNA sequencing of nearly 1000 individuals. We find a remarkably small number of genome-wide haplotypes, almost exclusively in the homozygous state, confirming the low effective outcrossing rate. Most strikingly, the major haplotypes in a locality remain intact and do not effectively recombine over several years. From the spatial pattern of diversity, we estimate that each subpopulation or deme is seeded by a mean of 3-10 immigrating individuals. Populations are thus formed by clones that compete at two levels, within a subpopulation and at the metapopulation level. We test for the presence of local phenotypic variation in pathogen resistance and dauer larva nictation, which could possibly explain the maintenance of different genotypes by heterogeneous selection in different local environments or lifecycles. This study is the first to address the local spatiotemporal genetic structure of C. elegans on feeding substrates. We conclude that these animals coexist as competing homozygous clones at the smallest population scale as well as in the metapopulation.

| S-EPMC5788539 | biostudies-literature

Modeling cooperating micro-organisms in antibiotic environment.

Project description:Recent experiments with the bacteria Paenibacillus vortex reveal a remarkable strategy enabling it to cope with antibiotics by cooperating with a different bacterium-Escherichia coli. While P. vortex is a highly effective swarmer, it is sensitive to the antibiotic ampicillin. On the other hand, E. coli can degrade ampicillin but is non-motile when grown on high agar percentages. The two bacterial species form a shared colony in which E. coli is transported by P. vortex and E. coli detoxifies the ampicillin. The paper presents a simplified model, consisting of coupled reaction-diffusion equations, describing the development of ring patterns in the shared colony. Our results demonstrate some of the possible cooperative movement strategies bacteria utilize in order to survive harsh conditions. In addition, we explore the behavior of mixed colonies under new conditions such as antibiotic gradients, synchronization between colonies and possible dynamics of a 3-species system including P. vortex, E. coli and a carbon producing algae that provides nutrients under illuminated, nutrient poor conditions. The derived model was able to simulate an asymmetric relationship between two or three micro-organisms where cooperation is required for survival. Computationally, in order to avoid numerical artifacts due to symmetries within the discretizing grid, the model was solved using a second order Vectorizable Random Lattices method, which is developed as a finite volume scheme on a random grid.

| S-EPMC5746235 | biostudies-literature

Metabolism of arylsulphonates by micro-organisms.

Project description:1. Species of Pseudomonas capable of degrading arylsulphonates and detergents of the alkylbenzenesulphonate type were isolated from sewage and river water. 2. Benzenesulphinate, benzenesulphonate and toluene-p-sulphonate were rapidly degraded by these organisms with the release of the sulphonate group as sulphite; detergent homologues with a chain length up to 16 carbon atoms (4-n-hexadecyl-benzenesulphonate) also released sulphite. Sulphite oxidation to sulphate in the medium can occur non-enzymically. 3. Growth on benzenesulphonate and toluene-p-sulphonate elicited a catechol 2,3-oxygenase, which effected a ;meta' cleavage of the ring. The metabolic route for benzenesulphonate was determined as: benzenesulphonate-->catechol-->2-hydroxymuconic semialdehyde-->formate and 4-hydroxy-2-oxovalerate-->acetaldehyde and pyruvate; the enzymes catalysing these steps were all inducible. 4. Toluene-p-sulphonate was degraded via 2-hydroxy-5-methylmuconic semialdehyde to formate and 4-hydroxy-2-oxohexanoate and the latter was cleaved to propionaldehyde and pyruvate. Propionaldehyde and propionate were oxidized rapidly by toluene-p-sulphonate-grown cells but slowly by fumarate-grown organisms. 5. The specificity of the catechol 2,3-oxygenase induced by the arylsulphonates, towards catechol and the methylcatechols, varied during the purification and suggested that 3-methylcatechol was probably oxidized by a separate enzyme. Detergents of the alkylbenzenesulphonate type also induced a catechol 2,3-oxygenase in these bacteria. 6. A few isolates, after growth on benzenesulphonate, opened the ring of catechol by an ;ortho' route to form cis-cis-muconate. The enzymes to degrade this intermediate to beta-oxoadipate were also present in induced cells.

| S-EPMC1198590 | biostudies-other

Diversity and genomics of Antarctic marine micro-organisms.

Project description:Marine bacterioplanktons are thought to play a vital role in Southern Ocean ecology and ecosystem function, as they do in other ocean systems. However, our understanding of phylogenetic diversity, genome-enabled capabilities and specific adaptations to this persistently cold environment is limited. Bacterioplankton community composition shifts significantly over the annual cycle as sea ice melts and phytoplankton bloom. Microbial diversity in sea ice is better known than that of the plankton, where culture collections do not appear to represent organisms detected with molecular surveys. Broad phylogenetic groupings of Antarctic bacterioplankton such as the marine group I Crenarchaeota, alpha-Proteobacteria (Roseobacter-related and SAR-11 clusters), gamma-Proteobacteria (both cultivated and uncultivated groups) and Bacteriodetes-affiliated organisms in Southern Ocean waters are in common with other ocean systems. Antarctic SSU rRNA gene phylotypes are typically affiliated with other polar sequences. Some species such as Polaribacter irgensii and currently uncultivated gamma-Proteobacteria (Ant4D3 and Ant10A4) may flourish in Antarctic waters, though further studies are needed to address diversity on a larger scale. Insights from initial genomics studies on both cultivated organisms and genomes accessed through shotgun cloning of environmental samples suggest that there are many unique features of these organisms that facilitate survival in high-latitude, persistently cold environments.

| S-EPMC2443171 | biostudies-literature

Theoretical Studies of Intracellular Concentration of Micro-organisms' Metabolites.

Project description:With the rapid growth of micro-organism metabolic networks, acquiring the intracellular concentration of microorganisms' metabolites accurately in large-batch is critical to the development of metabolic engineering and synthetic biology. Complementary to the experimental methods, computational methods were used as effective assessing tools for the studies of intracellular concentrations of metabolites. In this study, the dataset of 130 metabolites from E. coli and S. cerevisiae with available experimental concentrations were utilized to develop a SVM model of the negative logarithm of the concentration (-logC). In this statistic model, in addition to common descriptors of molecular properties, two special types of descriptors including metabolic network topologic descriptors and metabolic pathway descriptors were included. All 1997 descriptors were finally reduced into 14 by variable selections including genetic algorithm (GA). The model was evaluated through internal validations by 10-fold and leave-one-out (LOO) cross-validation, as well as external validations by predicting -logC values of the test set. The developed SVM model is robust and has a strong predictive potential (n?=?91, m?=?14, R2?=?0.744, RMSE?=?0.730, Q2?=?0.57; R2p?=?0.59, RMSEp?=?0.702, Q2p?=?0.58). An effective tool could be provided by this analysis for the large-batch prediction of the intracellular concentrations of the micro-organisms' metabolites.

| S-EPMC5567373 | biostudies-literature

Automated identification of multiple micro-organisms from resequencing DNA microarrays.

Project description:There is an increasing recognition that detailed nucleic acid sequence information will be useful and even required in the diagnosis, treatment and surveillance of many significant pathogens. Because generating detailed information about pathogens leads to significantly larger amounts of data, it is necessary to develop automated analysis methods to reduce analysis time and to standardize identification criteria. This is especially important for multiple pathogen assays designed to reduce assay time and costs. In this paper, we present a successful algorithm for detecting pathogens and reporting the maximum level of detail possible using multi-pathogen resequencing microarrays. The algorithm filters the sequence of base calls from the microarray and finds entries in genetic databases that most closely match. Taxonomic databases are then used to relate these entries to each other so that the microorganism can be identified. Although developed using a resequencing microarray, the approach is applicable to any assay method that produces base call sequence information. The success and continued development of this approach means that a non-expert can now perform unassisted analysis of the results obtained from partial sequence data.

| S-EPMC1636417 | biostudies-literature

The bank of swimming organisms at the micron scale (BOSO-Micro).

Project description:Unicellular microscopic organisms living in aqueous environments outnumber all other creatures on Earth. A large proportion of them are able to self-propel in fluids with a vast diversity of swimming gaits and motility patterns. In this paper we present a biophysical survey of the available experimental data produced to date on the characteristics of motile behaviour in unicellular microswimmers. We assemble from the available literature empirical data on the motility of four broad categories of organisms: bacteria (and archaea), flagellated eukaryotes, spermatozoa and ciliates. Whenever possible, we gather the following biological, morphological, kinematic and dynamical parameters: species, geometry and size of the organisms, swimming speeds, actuation frequencies, actuation amplitudes, number of flagella and properties of the surrounding fluid. We then organise the data using the established fluid mechanics principles for propulsion at low Reynolds number. Specifically, we use theoretical biophysical models for the locomotion of cells within the same taxonomic groups of organisms as a means of rationalising the raw material we have assembled, while demonstrating the variability for organisms of different species within the same group. The material gathered in our work is an attempt to summarise the available experimental data in the field, providing a convenient and practical reference point for future studies.

| S-EPMC8191957 | biostudies-literature

Genetically Modified Micro-Organisms for Industrial Food Enzyme Production: An Overview.

Project description:The use of food enzymes (FE) by the industrial food industry is continuously increasing. These FE are mainly obtained by microbial fermentation, for which both wild-type (WT) and genetically modified (GM) strains are used. The FE production yield can be increased by optimizing the fermentation process, either by using genetically modified micro-organism (GMM) strains or by producing recombinant enzymes. This review provides a general overview of the different methods used to produce FE preparations and how the use of GMM can increase the production yield. Additionally, information regarding the construction of these GMM strains is provided. Thereafter, an overview of the different European regulations concerning the authorization of FE preparations on the European market and the use of GMM strains is given. Potential issues related to the authorization and control of FE preparations sold on the European market are then identified and illustrated by a case study. This process highlighted the importance for control of FE preparations and the consequent need for appropriate detection methods targeting the presence of GMM, which is used in fermentation products.

| S-EPMC7143438 | biostudies-literature

HAEM SYNTHASE AND COBALT PORPHYRIN SYNTHASE IN VARIOUS MICRO-ORGANISMS.

Project description:1. The preparation of a crude extract of Clostridium tetanomorphum containing cobalt porphyrin synthase but little haem-synthase activity is described. 2. The properties of cobalt porphyrin synthase in the clostridial extracts is compared with the properties of a haem synthase present in crude extracts of the yeast Torulopsis utilis. 3. Cobalt porphyrin synthase in extracts of C. tetanomorphum inserts Co(2+) ions into the following dicarboxylic porphyrins in descending order of rate of insertion: meso-, deutero- and proto-porphyrins. Esterification renders meso- and deutero-porphyrins inactive as substrates. Neither the tetracarboxylic (coproporphyrin III) nor the octacarboxylic (uroporphyrin III) compounds are converted into cobalt porphyrins by the extract, but the non-enzymic incorporation of Co(2+) ions into these two porphyrins is rapid. These extracts are unable to insert Mn(2+), Zn(2+), Mg(2+) or Cu(2+) ions into mesoporphyrin. 4. Crude extracts of T. utilis readily insert both Co(2+) and Fe(2+) ions into deutero-, meso, and proto-porphyrins. Unlike the extracts of C. tetanomorphum, these preparations catalyse the insertion of Co(2+) ions into deuteroporphyrin more rapidly than into mesoporphyrin. This parallels the formation of haems by the T. utilis extract. 5. Cobalt porphyrin synthase is present in the particulate fraction of the extracts of C. tetanomorphum but requires a heat-stable factor present in the soluble fraction. This soluble factor can be replaced by GSH. 6. Cobalt porphyrin synthase in the clostridial extract is inhibited by iodoacetamide and to a smaller extent by p-chloromercuribenzoate and N-ethylmaleimide. The haem synthases of T. utilis and Micrococcus denitrificans are also inhibited by various thiol reagents.

| S-EPMC1206588 | biostudies-other

Colon gene expression signatures in mice mono-associated with IBD-associated micro-organisms

Project description:Studying host-microbiota interactions is fundamental to understand mechanisms involved in intestinal inflammation and inflammatory bowel diseases. In this work, we studied these interactions in mice mono-associated with 4 bacteria and 2 yeasts, all representative of intestinal microbiota and/or associated with IBD pathogenesis: Bacteroides thetaiotaomicron, adhesive-invasive Escherichia coli (AIEC), Ruminococcus gnavus, Roseburia intestinalis, Saccharomyces boulardii and Candida albicans. Transcriptomics analyses showed that B. thetaiotaomicron had the highest immunological effect, being able to almost recapitulate the effects of a whole microbiota, and particularly induced Treg pathways. Furthermore, this analysis also pointed out the effects of E. coli AIEC LF82 on IDO activation and of S. boulardii on angiogenesis, as well as major effects of R. gnavus on metabolism. This work therefore reveals information on the role of each micro-organism and proposes several tracks to follow to better understand IBD pathogenesis and identify therapeutic targets

2015-08-22 | GSE63299 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data