[Evolution of the concept of the mechanisms of antibiotic interaction with microbial cells].
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Anti-Bacterial Agents↗
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Prevention of preterm birth: new initiatives based on microbial-host interactions.
Preterm delivery remains a preeminent problem in reproductive and pediatric care worldwide. Recent data suggest that cervicovaginal microflora and/or the inflammatory response they engender produce factors which can cause or predispose to preterm labor and rupture of membranes. Microorganisms mediating such processes may not be "recognized pathogens" and are often considered normal flora. These microorganisms may act singly, additively, or synergistically with host factors released during an induced inflammatory response. Quantitative, as well as qualitative aspects of cervicovaginal microflora may be important. Multiple cervicovaginal microorganisms produce IgA protease, neuraminidase, and mucinase which may facilitate passage of these and other agents past cervical barriers and into the lower uterine segment. Multiple microflora also produce phospholipases A2 and C, each of which can locally augment production of eicosanoids within the uterus which are important in cervical ripening and labor. Similar microflora produce various proteases, including collagenase, which can focally weaken the amniochorion and predispose to premature rupture of membranes and cervical ripening. Intrauterine microorganisms induce inflammatory reaction and may engender local release of similar proteases, phospholipases, as well as platelet-activating factor (PAF) and lymphokines which can also initiate or further potentiate labor-inducing mechanisms. Recognition of microbe-induced pathogenesis of some cases of preterm birth offers the hope of specific treatment and prophylaxis. In recent studies, administration of erythromycin and tocolytic agents was associated with an improved outcome in selected women with preterm labor. Further microbiological and clinical studies are ongoing. "Just why so many gravidas go into labor prematurely and hence give birth to infants who often are unable to cope with extrauterine conditions is one of the great unsolved problems of obstetrics."
Bacteria↗
[Various findings on the mechanism of interaction between microbial agents of intestinal infections and tissue cultures (preliminary report)].
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Animals↗
Pesticide and herbicide interaction with microbial ecosystems.
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Drug Resistance, Microbial↗
Competition and cooperation: The plasticity of bacterial interactions across environments.
Bacteria live in diverse communities, forming complex networks of interacting species. A central question in bacterial ecology is whether species engage in cooperative or competitive interactions. But this question often neglects the role of the environment. Here, we use genome-scale metabolic networks from two different open-access collections (AGORA and CarveMe) to assess pairwise interactions of different microbes in varying environmental conditions (provision of different environmental compounds). By computationally simulating thousands of environments for 10,000 pairs of bacteria from each collection, we found that most pairs were able to both compete and cooperate depending on the availability of environmental resources. This modeling approach allowed us to determine commonalities between environments that could facilitate the potential for cooperation or competition between a pair of species. Namely, cooperative interactions, especially obligate, were most common in less diverse environments. Further, as compounds were removed from the environment, we found interactions tended to degrade towards obligacy. However, we also found that on average at least one compound could be removed from an environment to switch the interaction from competition to facultative cooperation or vice versa. Together our approach indicates a high degree of plasticity in microbial interactions in response to the availability of environmental resources.
Microbial Interactions↗
Exploiting new systems-based strategies to elucidate plant-bacterial interactions in the rhizosphere.
The rhizosphere is the site of intense interactions between plant, bacterial, and fungal partners. In plant-bacterial interactions, signal molecules exuded by the plant affect both primary initiation and subsequent behavior of the bacteria in complex beneficial associations such as biocontrol. However, despite this general acceptance that plant-root exudates have an effect on the resident bacterial populations, very little is still known about the influence of these signals on bacterial gene expression and the roles of genes found to have altered expression in plant-microbial interactions. Analysis of the rhizospheric communities incorporating both established techniques, and recently developed "omic technologies" can now facilitate investigations into the molecular basis underpinning the establishment of beneficial plant-microbial interactomes in the rhizosphere. The understanding of these signaling processes, and the functions they regulate, is fundamental to understanding the basis of beneficial microbial-plant interactions, to overcoming existing limitations, and to designing improved strategies for the development of novel Pseudomonas biocontrol strains.
Bacterial Physiological Phenomena↗
Dual-species interactions with intestinal bacteria drive multi-drug resistance in Campylobacter.
OBJECTIVES: Multidrug-resistant (MDR) Campylobacter infections are an increasing clinical concern, as rising fluoroquinolone (FQ) resistance leaves macrolides as the primary treatment option. We investigated multidrug resistance in clinical Campylobacter samples from Germany. METHODS: We analyzed 6980 clinical isolates (2010-2022), performing phenotypic susceptibility testing and sequencing on 2912 genomes. Cultures showing multidrug resistance were studied using scanning electron microscopy (SEM). RESULTS: We found that 453 (6%) Campylobacter samples were resistant to both FQ and macrolides. Two of the C. jejuni samples were resistant to antibiotics from ten different classes. Genome analysis revealed that these samples, despite being derived from single colonies, contained >10% Enterococcus DNA reads. SEM confirmed the presence of coccoid bacteria interspersed with spiral-shaped Campylobacter. Additional culture-based purification resulted in pure C. jejuni isolates that retained FQR but lost macrolide resistance. The presence of MDR Enterococcus spp. in the mixed samples protected C. jejuni from above-MIC (minimum inhibitory concentration) concentrations of several ribosome-targeting antimicrobials whereas pure Campylobacter were susceptible. CONCLUSIONS: The impact of microbial interactions on resistance phenotypes is poorly understood. We show that close interactions with highly resistant intestinal bacteria can induce multidrug resistance phenotypes in Campylobacter. These findings highlight that microbial context shapes antibiotic resistance and may influence treatment outcomes.
Campylobacter jejuni↗
Intestinal microflora and bacterial overgrowth in early life.
At birth the gut is sterile but later is continually exposed to potentially harmful agents: infective, toxic, and antigenic. The development of a strictly contained intestinal microflora reflects an important aspect of control over potentially noxious, environmental influences. Control of the intestinal microecology is dependent on many factors including intestinal peristalsis, the intraluminal environment, and microbial interactions. When these regulating mechanisms are lost, microbial contamination of the gut occurs and leads to the so-called "contaminated small-bowel syndrome." This has serious clinical consequences, including diarrhoea and malabsorption, and can occur in a wide range of clinical situations in infants and young children.
Adult↗
Bacterial community structure associated with the Antarctic soft coral, Alcyonium antarcticum.
The structure and composition of microbial communities inhabiting the soft coral Alcyonium antarcticum were investigated across three differentially contaminated sites within McMurdo Sound, Antarctica. Diverse microbial communities were revealed at all sites using culture-based analysis, denaturing gradient gel electrophoresis (DGGE), 16S rRNA gene clone-library analysis, and FISH. Phylogenetic analysis of isolates and retrieved sequences demonstrated close affiliation with known psychrophiles from the Antarctic environment and high similarity to Gammaproteobacteria clades of sponge-associated microorganisms. The majority of bacteria detected with all techniques reside within the Gammaproteobacteria, although other phylogenetic groups including Alpha- and Betaproteobacteria, Bacteroidetes, Firmicutes, Actinomycetales, Planctomycetes, and Chlorobi and bacteria from the functional group of sulfate-reducing bacteria were also present. Multivariate (nMDS) analysis of DGGE banding patterns and principal component analysis of quantitative FISH data revealed no distinct differences in community composition between differentially contaminated sites. Rather, conserved coral-associated bacterial groups were observed within and between sites, providing evidence to support specific coral-microbial interactions. This is the first investigation of microbial communities associated with Antarctic soft corals, and the results suggest that spatially stable microbial associations exist across an environmental impact gradient.
Animals↗
Integration of ruminal metabolism in dairy cattle.
An important objective is to identify nutrients or dietary factors that are most critical for advancing our knowledge of, and improving our ability to predict, milk protein production. The Dairy NRC (2001) model is sensitive to prediction of microbial protein synthesis, which is among the most important component of models integrating requirement and corresponding supply of metabolizable protein or amino acids. There are a variety of important considerations when assessing appropriate use of microbial marker methodology. Statistical formulas and examples are included to document and explain limitations in using a calibration equation from a source publication to predict duodenal flow of purine bases from measured urinary purine derivatives in a future study, and an improved approach was derived. Sources of specific carbohydrate rumen-degraded protein components probably explain microbial interactions and differences among studies. Changes in microbial populations might explain the variation in ruminal outflow of biohydrogenation intermediates that modify milk fat secretion. Finally, microbial protein synthesis can be better integrated with the production of volatile fatty acids, which do not necessarily reflect volatile fatty acid molar proportions in the rumen. The gut and splanchnic tissues metabolize varying amounts of volatile fatty acids, and propionate has important hormonal responses influencing milk protein percentage. Integration of ruminal metabolism with that in the mammary and peripheral tissues can be improved to increase the efficiency of conversion of dietary nutrients into milk components for more efficient milk production with decreased environmental impact.
Animals↗
Carbon metabolic homogenization is linked to microbial competition and antimicrobial resistance in soils under forest-to-cropland conversion.
Global agricultural expansion by converting natural forests into croplands often leads to soil functional homogenization and antimicrobial resistance enhancement, threatening ecosystem services. However, the associations between microbial carbon metabolic homogenization and antimicrobial resistance remain largely unknown. Here, we collected 240 paired forest and cropland soil samples from the most intensively farmed Yangtze River Basin in China, and constructed a novel framework based on microbial functional traits to decipher the role of carbon metabolic homogenization on antimicrobial resistance via microbial competition for metabolites. Using genome-scale metabolic models, we found that carbon metabolic homogenization was associated with a shift in microbial interactions from cooperation toward competition, with a 45.6% increase in competitive interactions that coincided with a 35.6% higher antimicrobial resistance gene (ARG) diversity. This shift was accompanied by smaller genome sizes and higher 16S rRNA copy numbers, indicating fast-growing, resource-acquisitive microbial strategies. Metabolic transfer analyses further revealed less cooperation relationships among microbial communities in cropland soils than in forest soils, indicating an intensified battle for communal metabolites and an attenuated exchange for complementary metabolites. Together, these findings provide a new framework to understand the association between carbon metabolic homogenization and soil antimicrobial resistance risks from the perspective of microbial traits and interactions under land use change.
Soil Microbiology↗
Influence of ionic strength and substratum hydrophobicity on the co-adhesion of oral microbial pairs.
Co-adhesion between oral microbial pairs (i.e. adhesion of a planktonic microorganism to a sessile organism adhering to a substratum surface) has been described as a highly specific interaction, mediated by stereochemical groups on the interacting microbial cell surfaces, and also as a non-specific, critical colloid-chemical interaction. In a colloid-chemical approach, microbial co-adhesion is considered as an interplay between, amongst others, hydrophobic and electrostatic interactions. The aim of this paper was to determine the influence of ionic strength on the co-adhesion of Streptococcus oralis 34 to either Actinomyces naeslundii T14V-J1 or its mutant strain 5951 adhering to glass in a parallel-plate flow chamber. To this end, the ionic strength of the suspension was varied by the addition of KCl. Another aim was to investigate whether substratum hydrophobicity affected the co-adhesion between the organisms by allowing the sessile organisms (in this case the actinomyces) to adhere either to hydrophilic or to hydrophobic, dimethyldichlorosilane (DDS)-coated glass. The kinetics of co-adhesion of S. oralis 34 to the actinomyces decreased with increasing ionic strength, expressed as the ratio, chi, between the local and non-local initial deposition rates of the streptococci in the vicinity of, or far away from, the adhering actinomyces, respectively. In a stationary end-point of co-adhesion, ionic strength appeared not to be a determinant factor for the co-adhesion of S. oralis 34 with A. naeslundii 5951, either when the actinomyces were adhering to hydrophilic glass or to hydrophobic, DDS-coated glass. However, for S. oralis 34 co-adhering in a stationary end-point with A. naeslundii T14V-J1 in the high-ionic-strength (250 mM KCl) suspension, co-adhesion was far less on hydrophobic, DDS-coated glass than on hydrophilic glass. It is possible that the hydrophobic fibrils on A. naeslundii T14V-J1 bearing the lectin responsible for co-adhesion were immobilized in the latter case by adsorption to the hydrophobic substratum, making them less available for interaction with the streptococci.
Actinomyces↗
Towards a novel class of predictive microbial growth models.
Food safety and quality are influenced by the presence (and possible proliferation) of pathogenic and spoilage microorganisms during the life cycle of the product (i.e., from the raw ingredients at the start of the production process until the moment of consumption). In order to simulate and predict microbial evolution in foods, mathematical models are developed in the field of predictive microbiology. In general, microbial growth is a self-limiting process, principally due to either (i) the exhaustion of one of the essential nutrients, and/or (ii) the accumulation of toxic products that inhibit growth. Nowadays, most mathematical models used in predictive microbiology do not explicitly incorporate this basic microbial knowledge. In this paper, a novel class of microbial growth models is proposed. In contrast with the currently used logistic type models, e.g., the model of Baranyi and Roberts [Baranyi, J., Roberts, T.A., 1994. A dynamic approach to predicting bacterial growth in food. International Journal of Food Microbiology 23, 277-294], the novel model class explicitly incorporates nutrient exhaustion and/or metabolic waste product effects. As such, this novel model prototype constitutes an elementary building block to be extended in a natural way towards, e.g., microbial interactions in co-cultures (mediated by metabolic products) and microbial growth in structured foods (influenced by, e.g., local substrate concentrations). While under certain conditions the mathematical equivalence with classical logistic type models is clear and results in equal fitting capacities and parameter estimation quality (see Poschet et al. [Poschet, F., Vereecken, K.M., Geeraerd, A.H., Nicolai, B.M., Van Impe, J.F., 2004. Analysis of a novel class of predictive microbial growth models and application to co-culture growth. International Journal of Food Microbiology, this issue] for a more elaborated analysis in this respect), the biological interpretability and extendability represent the main added value.
Bacteria↗
Intestinal mucins in colonization and host defense against pathogens.
Intestinal mucins are key components of the first line of host defense against intestinal pathogens. These large glycoconjugates secreted by specialized exocrine goblet cells form viscous gels that trap microorganisms and irritants and limit their diffusion to the intestinal epithelium. Moreover, they allow for colonization by indigenous bacterial flora that prevents attachment of pathogenic microbes. The interaction between microbes and mucins involves mucin carbohydrate side chains and microbial adhesin molecules. Certain microorganisms and disease states may alter mucin biochemistry or expression. Although these alterations most likely contribute to disease processes, the full impact of these phenomena are still unclear. The development of mucin-secreting cell lines has facilitated the study of mucin biology and aided our understanding of mucin-microbial interactions.
Animals↗
Oral microbial communities: biofilms, interactions, and genetic systems.
Oral microbial-plaque communities are biofilms composed of numerous genetically distinct types of bacteria that live in close juxtaposition on host surfaces. These bacteria communicate through physical interactions called coaggregation and coadhesion, as well as other physiological and metabolic interactions. Streptococci and actinomyces are the major initial colonizers of the tooth surface, and the interactions between them and their substrata help establish the early biofilm community. Fusobacteria play a central role as physical bridges that mediate coaggregation of cells and as physiological bridges that promote anaerobic microenvironments which protect coaggregating strict anaerobes in an aerobic atmosphere. New technologies for investigating bacterial populations with 16S rDNA probes have uncovered previously uncultured bacteria and have offered an approach to in situ examination of the spatial arrangement of the participant cells in oral-plaque biofilms. Flow cells with saliva-coated surfaces are particularly useful for studies of biofilm formation and observation. The predicted sequential nature of colonization of the tooth surface by members of different genera can be investigated by using these new technologies and imaging the cells in situ with confocal scanning laser microscopy. Members of at least seven genera now can be subjected to genetic studies owing to the discovery of gene-transfer systems in these genera. Identification of contact-inducible genes in streptococci offers an avenue to explore bacterial responses to their environment and leads the way toward understanding communication among inhabitants of a multispecies biofilm.
Bacteria↗
A prototype model structure for mixed microbial populations in homogeneous food products.
An important factor which has not been included in many models in the field of predictive microbiology is the influence of a background of microflora in a food product. It is however generally known that the growth of a microorganism as a pure culture can be substantially different from its growth in a mixed culture, due to microbial interactions. Because of the importance of these interactions and the lack of suitable modeling techniques in the field of predictive microbiology to describe them, the potential of models in other research fields-namely ecology-to deal with interactions is explored in previous work of the authors. However, a model structure for microbial growth in food products cannot simply be copied from those elaborated in ecology. The structure of a predictive growth model is indeed typical, primarily due to the explicit modeling of a lag phase. The current paper proposes a prototype model structure for growth of mixed microbial populations in homogeneous food products. The model is able to describe a lag phase and reduces to a classical predictive growth model in the special case of single-species growth.
Bacteria↗
Opportunities for the cellular approach in biomedical engineering.
This review is a commentary on recent, altered perspectives about biomedical engineering and its role in medicine. It is argued that, rather than being a peripheral specialty, medical engineering and engineering principles in general have a direct application to biochemical medicine and cell biology. A brief description is given of the cell as a compartmentalised reactor system, and the ways in which it is possible to replace lost or aberrant cell function. Specific topics are then covered to illustrate the general thesis. These are: polymers for cell mimicry, cell-surface interactions, biomolecule transport, cell transport phenomena, cell signalling, harnessing of cells for therapy and microbial interactions. These disparate subject areas have a common thread of interest for the biomedical engineer, and are presented here in a way which highlights key points of relevance for engineering. Though necessarily brief, the various descriptions in this review provide a film indication that a rigorous approach to the assessment, modelling and use of cells along sound engineering lines is vital for the future. It is concluded that, without this approach, our understanding of cell biology will remain semiquantitative and semiempirical.
Biological Transport↗
Interactions between Lactobacillus kefiranofaciens and Saccharomyces cerevisiae in mixed culture for kefiran production.
Since a positive effect on the growth and kefiran production of Lactobacillus kefiranofaciens was observed in a mixed culture with Saccharomyces cerevisiae, the elucidation of the interactions between L. kefiranofaciens and S. cerevisiae may lead to higher productivity. Hence, the microbial interaction of each strain was investigated. Apart from the positive effect of a reduction in the amount of lactic acid by S. cerevisiae, a positive effect of S. cerevisiae on the growth and kefiran production of L. kefiranofaciens in a mixed culture was observed. Various experiments were carried out to study this effect. In this study, the observed increase in capsular kefiran in a mixed culture with inactivated S. cerevisiae correlated well to that in an anaerobic mixed culture. Differences in capsular kefiran production were observed for different initial S. cerevisiae concentrations under anaerobic conditions. From these fermentation results, it was concluded that the physical contact with S. cerevisiae mainly enhanced the capsular kefiran production of L. kefiranofaciens in a mixed culture. Therefore, in an anaerobic mixed culture, this direct contact resulted in higher capsular kefiran production than that in pure culture.
Journal Article↗