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PubMed1998

Topics in dose-response modeling.

Great uncertainty exists in conducting dose-response assessment for microbial pathogens. The data to support quantitative modeling of dose-response relationships are meager. Our philosophy in developing methodology to conduct microbial risk assessments has been to rely on data analysis and formal inferencing from the available data in constructing dose-response and exposure models. The probability of illness is a complex function of factors associated with the disease triangle: the host, the pathogen, and the environment including the food vehicle and indigenous microbial competitors. The epidemiological triangle and interactions between the components of the triangle are used to illustrate key issues in dose-response modeling that impact the estimation of risk and attendant uncertainty. Distinguishing between uncertainty (what is unknown) and variability (heterogeneity) is crucial in risk assessment. Uncertainty includes components that are associated with (i) parameter estimation for a given assumed model, and (ii) the unknown "true" model form among many plausible alternatives such as the exponential, Beta-Poisson, probit, logistic, and Gompertz. Uncertainty may be grossly understated if plausible alternative models are not tested in the analysis. Examples are presented of the impact of variability and uncertainty on species, strain, or serotype of microbial pathogens; variability in human response to administered doses of pathogens; and effects of threshold and nonthreshold models. Some discussion of the usefulness and limitations of epidemiological data is presented. Criteria for development of surrogate dose-response models are proposed for pathogens for which human data are lacking. Alternative dose-response models which consider biological plausibility are presented for predicting the probability of illness.

Adult↗
PubMed2024

Metagenomic analysis reveals gene taxonomic and functional diversity response to microplastics and cadmium in an agricultural soil.

Both microplastics (MPs) and heavy metals are common soil pollutants and can interact to generate combined toxicity to soil ecosystems, but their impact on soil microbial communities (e.g., archaea and viruses) remains poorly studied. Here, metagenomic analysis was used to explore the response of soil microbiome in an agricultural soil exposed to MPs [i.e., polyethylene (PE), polystyrene (PS), and polylactic acid (PLA)] and/or Cd. Results showed that MPs had more profound effects on microbial community composition, diversity, and gene abundances when compared to Cd or their combination. Metagenomic analysis indicated that the gene taxonomic diversity and functional diversity of microbial communities varied with MPs type and dose. MPs affected the relative abundance of major microbial phyla and genera, while their coexistence with Cd influenced dominant fungi and viruses. Nitrogen-transforming and pathogenic genera, which were more sensitive to MPs variations, could serve as the indicative taxa for MPs contamination. High-dose PLA treatments (10%, w/w) not only elevated nitrogen metabolism and pathogenic genes, but also enriched copiotrophic microbes from the Proteobacteria phylum. Overall, MPs and Cd showed minimal interactions on soil microbial communities. This study highlights the microbial shifts due to co-occurring MPs and Cd, providing evidence for understanding their environmental risks.

Soil Microbiology↗
PubMed2002

Conditions that may affect the results of susceptibility testing of Mycobacterium tuberculosis to pyrazinamide.

Pyrazinamide (PZA) is an important front-line anti-tuberculosis drug that is active only at acid pH. However, acid pH causes significant difficulty for PZA susceptibility testing. A common problem in PZA testing is false resistance caused by large bacterial inocula. This study investigated the relationship of false resistance to numbers of bacilli, pH and other factors that potentially affect susceptibility to PZA. Large inocula (10(7-8) bacilli/ml) of M. tuberculosis H37Ra caused significant increase in medium pH from 5.5 towards neutrality, and thus produced false resistance results. The increase in medium pH was determined to be a function of live bacilli; heat-killed bacilli had little or no effect. Susceptibility to PZA and its active derivative pyrazinoic acid (POA) was comparable on 7H11 agar medium, but POA was less active than PZA in liquid medium containing bovine serum albumin (BSA), suggesting that susceptibility to PZA or POA was reduced in the presence of BSA, because of its neutralising effect on medium pH and significant POA binding. A 3-month-old H37Ra culture was shown to be more susceptible to PZA exposure than a 4-day log-phase culture, suggesting that PZA is more active for non-growing bacilli. Finally, reserpine, an inhibitor of POA efflux pump, increased susceptibility to PZA even near neutral pH 6.8, with an MIC of 400 mg/L compared with 1,000 mg/L without reserpine. These findings should have implications for understanding the mode of action of PZA and for PZA susceptibility testing.

Antitubercular Agents↗
PubMed2003

Theory of antimicrobial combinations: biocide mixtures - synergy or addition?

AIMS: To demonstrate the effect that non-linear dose responses have on the appearance of synergy in mixtures of antimicrobials. METHODS AND RESULTS: A mathematical model, which allows the prediction of the efficacy of mixtures of antimicrobials with non-linear dose responses, was produced. The efficacy of antimicrobial mixtures that would be classified as synergistic by time-kill methodology was shown to be a natural consequence of combining antimicrobials with non-linear dose responses. CONCLUSIONS: The effectiveness of admixtures of biocides and other antimicrobials with non-linear dose responses can be predicted. If the dose response (or dilution coefficient) of any biocidal component, in a mixture, is other than one, then the time-kill methodology used to ascertain the existence of synergy in antimicrobial combinations is flawed. SIGNIFICANCE AND IMPACT OF THE STUDY: The kinetic model developed allows the prediction of the efficacy of antimicrobial combinations. Combinations of known antimicrobials, which reduce the time taken to achieve a specified level of microbial inactivation, can be easily assessed once the kinetic profile of each component has been obtained. Most patented cases of antimicrobial synergy have not taken into account the possible effect of non-linear dose responses of the component materials. That much of the earlier literature can now be predicted, suggests that future cases will require more thorough proof of the alleged synergy.

Cresols↗
PubMed2002

Effects of above-ground plant species composition and diversity on the diversity of soil-borne microorganisms.

A coupling of above-ground plant diversity and below-ground microbial diversity has been implied in studies dedicated to assessing the role of macrophyte diversity on the stability, resilience, and functioning of ecosystems. Indeed, above-ground plant communities have long been assumed to drive below-ground microbial diversity, but to date very little is known as to how plant species composition and diversity influence the community composition of micro-organisms in the soil. We examined this relationship in fields subjected to different above-ground biodiversity treatments and in field experiments designed to examine the influence of plant species on soil-borne microbial communities. Culture-independent strategies were applied to examine the role of wild or native plant species composition on bacterial diversity and community structure in bulk soil and in the rhizosphere. In comparing the influence of Cynoglossum officinale (hound's tongue) and Cirsium vulgare (spear thistle) on soil-borne bacterial communities, detectable differences in microbial community structure were confined to the rhizosphere. The colonisation of the rhizosphere of both plants was highly reproducible, and maintained throughout the growing season. In a separate experiment, effects of plant diversity on bacterial community profiles were also only observed for the rhizosphere. Rhizosphere soil from experimental plots with lower macrophyte diversity showed lower diversity, and bacterial diversity was generally lower in the rhizosphere than in bulk soil. These results demonstrate that the level of coupling between above-ground macrophyte communities and below-ground microbial communities is related to the tightness of the interactions involved. Although plant species composition and community structure appear to have little discernible effect on microbial communities inhabiting bulk soil, clear and reproducible changes in microbial community structure and diversity are observed in the rhizosphere.

Bacteria↗
PubMed2006

Pyocyanin isolated from a marine microbial population: synergistic production between two distinct bacterial species and mode of action.

Marine microbial populations collected from the Hawaiian Islands were screened for antimicrobial activity. A blue metabolite was identified from mixed cell cultures, but production was not evident in pure cultures. Experiments designed to probe the synergistic role of the microorganisms are presented. Full characterization of the blue natural product, pyocyanin, is provided including corrections made to 1H and 13C-NMR assignments of the molecule misreported in the chemical literature and yeast transcriptome analysis. The transcriptional effects were consistent with the compound's purported role as an inducer of oxidative stress and damage and illustrates the overall potential of the method to reveal the primary biological/cellular effects of a natural product. The experiments outlined here might serve as a general paradigm for identification of natural products arising from microbial communities and investigation of their respective interactions.

Bacteria↗
PubMed2005

Physicochemical properties of Shiga toxigenic Escherichia coli.

AIMS: To investigate the physicochemical surface properties, such as cellular surface charge, hydrophobicity and electron donor/acceptor potential of a selection of Shiga toxigenic Escherichia coli (STEC) isolates grown in broth and agar culture. METHODS AND RESULTS: Cellular surface charge was determined using zeta potential measurements. Hydrophobicity of the isolates was determined using bacterial adhesion to hydrocarbons assay, hydrophobic interaction chromatography and contact angle measurements. Microbial adhesion to solvents was used to determine the electron donor/acceptor characteristics. No differences of surface charge measurements were found between broth and agar grown cultures. Isolates belonging to serogroup O157 and serotypes O26:H11 and O111:H- were significantly (P < 0.05) less negatively charged than other STEC serotypes tested. All strains were hydrophilic with most methods and demonstrated a lower hydrophobicity in agar culture compared with broth culture. All strains demonstrated a strong microbial adhesion to chloroform indicating that STEC possess an electron donor and basic character. A relationship between serogroup O157 and other STEC serotypes was apparent using principal-component analysis (PCA). CONCLUSIONS: Combining the results for physicochemical properties using PCA differentiated between strains belonging to the O157 serogroup and other STEC/non-STEC strains. PCA found similar results for broth and agar grown cultures. SIGNIFICANCE AND IMPACT OF THE STUDY: Particular serotypes of STEC possess similar physicochemical properties which may play a role in their pathogenicity or potential attachment to various surfaces.

Bacterial Adhesion↗
PubMed1999

[In vitro antimicrobial activity of carbapenem antibiotics against Pseudomonas aeruginosa, measured using a low-concentration Mueller-Hinton Agar culture medium].

Ohya et al. noted that the antibacterial activity of carbapenem-family antibiotics against Pseudomonas aeruginosa was significantly enhanced through lowering the basic amino acid concentration in the culture medium. They reported that there was a marked difference in antimicrobial activity of panipenem (PAPM) against Pseudomonas aeruginosa between the culture medium with Mueller-Hinton Agar (MHA) diluted with distilled water and the non-diluted culture medium. We used 2,312 strains of fresh Pseudomonas aeruginosa, isolated from clinical materials, to examine the antibacterial activity of PAPM in non-diluted and diluted culture media. For testing the susceptibility, we employed the Showa disc method and agar plate dilution method. In the Showa disc method, the inhibition diameters of the tested microbial strains showed a larger distribution for both 16-fold and 40-fold diluted MHA, compared to the non-diluted MHA. The MIC values in the agar plate dilution method were also smaller in distribution for the 16-fold as well as the 40-fold diluted MHA, compared to the non-diluted culture media. Approximately 90% of the strains showed decreased MIC values, 2-8 times in the 16-fold diluted MHA and 2-16 times in the 40-fold diluted MHA. From the above results, we confirmed that the in vitro antibacterial activity of PAPM against Pseudomonas aeruginosa was enhanced through lowering the MHA concentration.

Agar↗
PubMed1976

Nutritional determinants of the ecology of the oral flora.

Consideration of nutritional factors as determinants of oral microbial ecology leads to the conclusion that endogenous factors play a dominant role. It is the interactions between specific microorganisms and nutritional and other factors provided by the host that selectively determine the kinds of microorganisms which willinitially reside in the oral cavity and the sites which they will colonize. The persistence of these original "colonists" in their respective ecologic niches will depend in part on the accessibility of endogenous nutrients variously provided by saliva, tissue exudates, crevicular fluids, or degenerating host cells. It will also depend on their response to and interaction with microorganisms which immigrate to that site subsequently. The microbial ecology of a given site is therefore rarely uncomplicated, the notable exception occurring at the most microscopic level where one may encounter microcolonies of individual species within more heterogenous populations of microorganisms. The extent of this heterogeneity quantitatively and qualitatively is a reflection of the degree to which the interactions between the resident flora and the new arrivals, plus the local environmental changes which they both generate, serve to promote or to discourage the survival and growth of the individual species. This element of heterogeneity in a dynamic system with its inherent potential for variation makes it possible for relatively minor changes in local environmental conditions to result in significant differences in the microflora between one site and another even though they may be in close proximity to each other. Once this concept is appreciated it becomes easy to understand how disease processes such as dental caries may affect specific areas of a tooth while nearby areas are unaffected. The effects of exogenous nutrients on the ecology of the oral microbiota, nevertheless cannot be ignored. The diet may modulate such endogenous factors as the salivary secretions and the local resistance of the gingival tissues to infections. Although at our present state of knowledge the direct influence of dietary proteins and fats on the oral microbiota is thought to be of relatively minor consequence, dietary carbohydrates are of major ecological significance. Dietary sugars provide readily available substrates for the oral microorganisms, most of which depend on carbohydrates for energy sources. The metabolism of dietary sucrose by S. sanguis and S. mutans with the productions of acids and intracellular and extracellular polysaccharides has specific influence on the microbial composition, metabolic activities, and mass of coronal plaque. The ready availability of dietary carbohydrates undoubtedly influences the microflora of other parts of the oral cavity as well, eic species or indirectly through the interactions of other organisms with them...

Adhesiveness↗
PubMed2001

In vitro, ex-vivo and in vivo activities of ethambutol and sparfloxacin alone and in combination against mycobacteria.

The MIC of ethambutol and sparfloxacin for Mycobacterium smegmatis and M. avium was determined using a broth dilution method. The MICs of sparfloxacin and ethambutol were lower for M. smegmatis than M. avium. The combination of ethambutol and sparfloxacin was additive against M. smegmatis but synergistic for M. avium. The effect of these drugs alone and in combination used at C(max) levels was screened against M. avium and M. tuberculosis H(37)Rv growing intracellularly in murine macrophage cell lines. In vivo studies using this combination given at 100 mg/kg of body weight once weekly showed greater activity than the drugs used singly. These results suggest that combination of ethambutol and sparfloxacin has significant activity intracellularly and in animal models against M. avium and M. tuberculosis.

Animals↗
PubMed2000

Endotoxin release from Escherichia coli after exposure to tobramycin: dose-dependency and reduction in cefuroxime-induced endotoxin release.

OBJECTIVE: To study the release of free endotoxin from Escherichia coli exposed to varying concentrations of the penicillin-binding protein (PBP) 3-specific beta-lactam antibiotic cefuroxime, the aminoglycoside tobramycin, and a combination of the two, and to test the relationship between bacterial killing rate and endotoxin release. METHODS: A clinical isolate of Escherichia coli in logarithmic phase was exposed to 0.1, 2, 10, and 50 x minimum inhibitory concentration (MIC) of cefuroxime, tobramycin, and a combination of the two. Samples for viable counts and endotoxin analysis were drawn immediately before and after the addition of the antibiotics and at 1, 2, 4, 6, and 24 h. All experiments were performed in triplicate. For the analysis of endotoxin, a chromogenic limulus amoebocyte lysate assay was used. RESULTS: Endotoxin liberation was found to be proportional to the number of killed bacteria for each antibiotic regimen at each concentration level justifying the endotoxin-liberating potential to be expressed as release of endotoxin per killed bacterium, an expression that was independent of the inoculum size. At all concentration levels there was a statistically significant difference between the treatments, with the highest release of endotoxin per killed bacterium for cefuroxime, lower for tobramycin and the lowest for the combination of the two drugs (P < 0.001). With increasing doses, there was a significant reduction (P < 0.001) in the propensity to release endotoxin. When the bacterial killing rate was correlated to the propensity to release endotoxin in bacteria exposed to tobramycin or the combination of tobramycin and cefuroxime, a significant negative correlation was found (P < 0.01). This reduction in endotoxin release was not caused by an unspecific endotoxin binding of tobramycin. CONCLUSIONS: Addition of tobramycin reduced the cefuroxime-induced endotoxin release per killed bacterium to a level which was even lower than that of tobramycin alone in spite of an increased killing rate. Increasing concentrations of tobramycin led to reduction in endotoxin release, which may be of benefit when dosing aminoglycosides once daily.

Anti-Bacterial Agents↗
PubMed2006

Release of SpeA from Streptococcus pyogenes after exposure to penicillin: dependency on dose and inhibition by clindamycin.

The amount and time course of SpeA release from group A streptococci (GAS) was studied at different starting inoculate after exposure to different doses of penicillin, clindamycin or a combination of the 2. The release was related to the bacterial concentration and killing rate. A clinical GAS strain was exposed to benzylpenicillin, 2 and 1000 x MIC, clindamycin, 2 and 32 x MIC, or combinations of the 2. Samples for viable counts and SpeA analyses were drawn before and after the addition of antibiotics and at 3, 6 and 24 h. The SpeA release was higher at low than at high concentrations of penicillin and the combination (both, p<0.05). The addition of clindamycin to penicillin reduced SpeA production at both concentrations (p<0.01). Most SpeA was released before 3 h, and for penicillin and the combination, the amount correlated to the number of killed bacteria during this period (r=0.50; p<0.05). A positive correlation was found between the inoculum size and the SpeA concentration at time zero (r=0.54; p<0.05). The SpeA concentration was dependent on the initial number of bacteria, the class of antibiotic, the dose of penicillin and the killing rate.

Anti-Bacterial Agents↗
PubMed1999

The role of dendritic cells in the induction and regulation of immunity to microbial infection.

Dendritic cells (DCs) play a critical role in the initiation and regulation of immune responses. Recent advances have begun to uncover the nature and diversity of DC-pathogen interactions and the modulation of DC function by microbial stimuli. Antigen pulsed DCs have also been shown in several infection models to induce high levels of protective immunity and to display immunotherapeutic potential. The study of the function of DCs in the response to infection is thus an exciting and rapidly expanding field with important implications for both fundamental and clinical immunology.

Animals↗
PubMed2006

Host defense peptides and lipopeptides: modes of action and potential candidates for the treatment of bacterial and fungal infections.

Endogenous peptide antibiotics (termed also host-defense or antimicrobial peptides) are known as evolutionarily old components of innate immunity. They were found initially in invertebrates, but later on also in vertebrates, including humans. This secondary, chemical immune system provides organisms with a repertoire of small peptides that act against invasion (for both offensive and defensive purposes) by occasional and obligate pathogens. Each antimicrobial peptide has a broad but not identical spectrum of antimicrobial activity, predominantly against bacteria, providing the host maximum coverage against a rather broad spectrum of microbial organisms. Many of these peptides interact with the target cell membranes and increase their permeability, which results in cell lysis. A second important family includes lipopeptides. They are produced in bacteria and fungi during cultivation on various carbon sources, and possess a strong antifungal activity. Unfortunately, native lipopeptides are non-cell selective and therefore extremely toxic to mammalian cells. Whereas extensive studies have emerged on the requirements for a peptide to be antibacterial, very little is known concerning the parameters that contribute to antifungal activity. This review summarizes recent studies aimed to understand how antimicrobial peptides and lipopeptides select their target cell. This includes a new group of lipopeptides highly potent against pathogenic fungi and yeast. They are composed of inert cationic peptides conjugated to aliphatic acids with different lengths. Deep understanding of the molecular mechanisms underlying the differential cells specificity of these families of host defense molecule is required to meet the challenges imposed by the life-threatening infections.

Bacterial Infections↗
PubMed2006

Perception and modification of plant flavonoid signals by rhizosphere microorganisms.

Flavonoids are a diverse class of polyphenolic compounds that are produced as a result of plant secondary metabolism. They are known to play a multifunctional role in rhizospheric plant-microbe and plant-plant communication. Most familiar is their function as a signal in initiation of the legume-rhizobia symbiosis, but, flavonoids may also be signals in the establishment of arbuscular mycorrhizal symbiosis and are known agents in plant defence and in allelopathic interactions. Flavonoid perception by, and impact on, their microbial targets (e.g. rhizobia, plant pathogens) is relatively well characterized. However, potential impacts on 'non-target' rhizosphere inhabitants ('non-target' is used to distinguish those microorganisms not conventionally known as targets) have not been thoroughly investigated. Thus, this review first summarizes the conventional roles of flavonoids as nod gene inducers, phytoalexins and allelochemicals before exploring questions concerning 'non-target' impacts. We hypothesize that flavonoids act to shape rhizosphere microbial community structure because they represent a potential source of carbon and toxicity and that they impact on rhizosphere function, for example, by accelerating the biodegradation of xenobiotics. We also examine the reverse question, 'how do rhizosphere microbial communities impact on flavonoid signals?' The presence of microorganisms undoubtedly influences the quality and quantity of flavonoids present in the rhizosphere, both through modification of root exudation patterns and microbial catabolism of exudates. Microbial alteration and attenuation of flavonoid signals may have ecological consequences for below-ground plant-microbe and plant-plant interaction. We have a lack of knowledge concerning the composition, concentration and bioavailability of flavonoids actually experienced by microbes in an intact rhizosphere, but this may be addressed through advances in microspectroscopic and biosensor techniques. Through the use of plant mutants defective in flavonoid biosynthesis, we may also start to address the question of the significance of flavonoids in shaping rhizosphere community structure and function.

Biosensing Techniques↗
PubMed1999

HOST VARIATION FOR INTERACTIONS WITH BENEFICIAL PLANT-ASSOCIATED MICROBES.

Beneficial plant-associated microbes can profoundly influence plant health by suppressing disease, enhancing nutrient uptake, fixing atmospheric nitrogen, and promoting plant growth. Host variation, among cultivars or plant genotypes, for response to beneficial microorganisms suggests that plant genes play a role in supporting these interactions. Such host variation can be found among diverse groups of microorganisms including rhizobia, mycorrhizal fungi, and microbial biocontrol agents. Discrete variation among plant genotypes for interaction with beneficial microbes has led to the discovery of single genes that specify compatible interactions. Continuous variation for interaction phenotypes such as disease suppression, plant growth, or nutrient uptake have led to hypotheses, and in some cases genetic descriptions, of multigenic control of these interactions. Future research into the role of plant genes involved in hosting beneficial plant-associated microbes will provide greater insight into this relatively unexplored area of biology and should provide new tools to improve plant health in agriculture.

Journal Article↗
PubMed2002

Molecular interactions in biofilms.

A biofilm may be defined as a microbially derived, sessile community characterized by cells that attach to an interface, embed in a matrix of exopolysaccharide, and demonstrate an altered phenotype. This review covers the current understanding of the nature of biofilms and the impact that molecular interactions may have on biofilm development and phenotype using the motile gram-negative rod Pseudomonas aeruginosa and the nonmotile gram-positive cocci Staphylococcus aureus as examples.

Biofilms↗
PubMed2001

CMEIAS: A Computer-Aided System for the Image Analysis of Bacterial Morphotypes in Microbial Communities.

A major challenge in microbial ecology is to develop reliable and facile methods of computer-assisted microscopy that can analyze digital images of complex microbial communities at single cell resolution, and compute useful quantitative characteristics of their organization and structure without cultivation. Here we describe a computer-aided interactive system to analyze the high degree of morphological diversity in growing microbial communities revealed by phase-contrast microscopy. The system, called "CMEIAS" (Center for Microbial Ecology Image Analysis System) consists of several custom plug-ins for UTHSCSA ImageTool, a free downloadable image analysis program operating on a personal computer in a Windows NT environment. CMEIAS uses various measurement features and two object classifiers to extract size and shape measurements of segmented, digital images of microorganisms and classify them into their appropriate morphotype. The first object classifier uses a single measurement feature to analyze relatively simple communities containing only a few morphotypes (e.g., regular rods, cocci, filaments). A second new hierarchical tree classifier uses an optimized subset of multiple measurement features to analyze significantly more complex communities containing greater morphological diversity than ever before possible. This CMEIAS shape classifier automatically categorizes each cell into one of 11 predominant bacterial morphotypes, including cocci, spirals, curved rods, U-shaped rods, regular straight rods, unbranched filaments, ellipsoids, clubs, rods with extended prostheca, rudimentary branched rods, and branched filaments. The training and testing images for development and evaluation of the CMEIAS classifier were obtained from 1,937 phase-contrast grayscale digital images of various diverse communities. The CMEIAS shape classifier had an accuracy of 96.0% on a training set of 1,471 cells and 97.0% on a test set of 4,270 cells representing all 11 bacterial morphotype classes, indicating that accurate classification of rich morphological diversity in microbial communities is now possible. An interactive edit feature was added to address the main sources of error in automatic shape classification, enabling the operator to inspect the assigned morphotype of each bacterium based on visual recognition of its distinctive pseudocolor, reassign it to another morphotype class if necessary, and add up to five other morphotypes to the classification scheme. The shape classifier reports on the number and types of different morphotypes present and the abundance among each of them, thus providing the data needed to compute the morphological diversity within the microbial community. An example of how CMEIAS can augment the analysis of microbial community structure is illustrated by studies of morphological diversity as an indicator of dynamic ecological succession following a nutrient shift-up perturbation in two continuously fed, anaerobic bioreactors with morphologically distinct start communities. Various steps to minimize the limitations of computer-assisted microscopy to classify bacterial morphotypes using CMEIAS are described. In summary, CMEIAS is an accurate, robust, flexible semiautomatic computing tool that can significantly enhance the ability to quantitate bacterial morphotype diversity and should serve as a useful adjunct to the analysis of microbial community structure. This first version of CMEIAS will be released as free, downloadable plug-ins so it can provide wide application in studies of microbial ecology.

Journal Article↗