Hydrolysis of aromatic beta-glucosides by non-pathogenic bacteria confers a chemical weapon against predators

Bacteria present in natural environments such as soil have evolved multiple strategies to escape predation. We report that natural isolates of Enterobacteriaceae that actively hydrolyze plant-derived aromatic beta-glucosides such as salicin, arbutin and esculin, are able to avoid predation by the bacteriovorous amoeba Dictyostelium discoideum and nematodes of multiple genera belonging to the family Rhabditidae. This advantage can be observed under laboratory culture conditions as well as in the soil environment. The aglycone moiety released by the hydrolysis of beta-glucosides is toxic to predators and acts via the dopaminergic receptor Dop-1 in the case of Caenorhabditis elegans. While soil isolates of nematodes belonging to the family Rhabditidae are repelled by the aglycone, laboratory strains and natural isolates of Caenorhabditis sp. are attracted to the compound, mediated by receptors that are independent of Dop-1, leading to their death. The b-glucosides-positive (Bgl(+)) bacteria that are otherwise non-pathogenic can obtain additional nutrients from the dead predators, thereby switching their role from prey to predator. This study also offers an evolutionary explanation for the retention by bacteria of `cryptic' or `silent' genetic systems such as the bgl operon.

Cybernetic modeling of adaptive prediction of environmental changes by microorganisms

Microorganisms exhibit varied regulatory strategies such as direct regulation, symmetric anticipatory regulation, asymmetric anticipatory regulation, etc. Current mathematical modeling frameworks for the growth of microorganisms either do not incorporate regulation or assume that the microorganisms utilize the direct regulation strategy. In the present study, we extend the cybernetic modeling framework to account for asymmetric anticipatory regulation strategy. The extended model accurately captures various experimental observations. We use the developed model to explore the fitness advantage provided by the asymmetric anticipatory regulation strategy and observe that the optimal extent of asymmetric regulation depends on the selective pressure that the microorganisms experience. We also explore the importance of timing the response in anticipatory regulation and find that there is an optimal time, dependent on the extent of asymmetric regulation, at which microorganisms should respond anticipatorily to maximize their fitness. We then discuss the advantages offered by the cybernetic modeling framework over other modeling frameworks in modeling the asymmetric anticipatory regulation strategy. (C) 2013 Published by Elsevier Inc.

Biogenic nanosilver incorporated reverse osmosis membrane for antibacterial and antifungal activities against selected pathogenic strains: An enhanced eco-friendly water disinfection approach

Reverse osmosis (RO) membranes have been used extensively in water desalination plants, waste water treatment in industries, agricultural farms and drinking water production applications. The objective of this work is to impart antibacterial and antifungal activities to commercially available RO membrane used in water purification systems by incorporating biogenic silver nanoparticles (AgNPs) synthesized using Rosa indica wichuriana hybrid leaf extract. The morphology and surface topography of uncoated and AgNPs-coated RO membrane were studied using Scanning Electron Microscopy (SEM) and Atomic Force Microscopy (AFM). Elemental composition of the AgNPs-coated RO membrane was analyzed by energy-dispersive X-ray spectroscopy (EDAX). The functional groups were identified by Fourier Transform Infrared spectroscopy (FT-IR). Hydrophilicity of the uncoated and AgNPs-coated RO membrane was analyzed using water contact angle measurements. The thermal properties were studied by thermogravimetric analysis (TGA). The AgNPs incorporated RO membrane exhibited good antibacterial and antifungal activities against pathogenic bacterial strains such as E. coli, S. aureus, M. luteus, K. pneumoniae, and P. aeruginosa and fungal strains such as Candida tropicalis, C. krusei, C. glabrata, and C. albicans.

Cytotoxicity of TiO2 nanoparticles towards freshwater sediment microorganisms at low exposure concentrations

There is a persistent need to assess the effects of TiO2 nanoparticles on the aquatic ecosystem owing to their increasing usage in consumer products and risk of environmental release. The current study is focused on TiO2 nanoparticle-induced acute toxicity at sub-ppm level (<= 1 ppm) on the three different freshwater sediment bacterial isolates and their consortium under two different irradiation (visible light and dark) conditions. The consortium of the bacterial isolates was found to be less affected by the exposure to the nanoparticles compared to the individual cells. The oxidative stress contributed considerably towards the cytotoxicity under both light and dark conditions. A statistically significant increase in membrane permeability was noted under the dark conditions as compared to the light conditions. The optical and fluorescence microscopic images showed aggregation and chain formation of the bacterial cells, when exposed to the nanoparticles. The electron microscopic (SEM, TEM) observations suggested considerable damage of cells and bio-uptake of nanoparticles. The exopolysaccrides (EPS) production and biofilm formation were noted to increase in the presence of the nanoparticles, and expression of the key genes involved in biofilm formation was studied by RT-PCR. (C) 2014 Elsevier Inc. All rights reserved.

Optimal control analysis of the dynamic growth behavior of microorganisms

Understanding the growth behavior of microorganisms using modeling and optimization techniques is an active area of research in the fields of biochemical engineering and systems biology. In this paper, we propose a general modeling framework, based on Monad model, to model the growth of microorganisms. Utilizing the general framework, we formulate an optimal control problem with the objective of maximizing a long-term cellular goal and solve it analytically under various constraints for the growth of microorganisms in a two substrate batch environment. We investigate the relation between long term and short term cellular goals and show that the objective of maximizing cellular concentration at a fixed final time is equivalent to maximization of instantaneous growth rate. We then establish the mathematical connection between the generalized framework and optimal and cybernetic modeling frameworks and derive generalized governing dynamic equations for optimal and cybernetic models. We finally illustrate the influence of various constraints in the cybernetic modeling framework on the optimal growth behavior of microorganisms by solving several dynamic optimization problems using genetic algorithms. (C) 2014 Published by Elsevier Inc.

Combining Plant Pathogenic Fungi and the Leaf-Mining Fly, Hydrellia pakistanae, Increases Damage to Hydrilla

Four fungal species, F71PJ Acremonium sp., F531 Cylindrocarpon sp., F542, Botrytis sp., and F964 Fusarium culmorum [Wm. G. Sm.] Sacc. were recovered from hydrilla [ Hydrilla verticillata (L. f.) Royle] shoots or from soil and water surrounding hydrilla growing in ponds and lakes in Florida and shown to be capable of killing hydrilla in a bioassay. The isolates were tested singly and in combination with the leaf-mining fly, Hydrellia pakistanae (Diptera: Ephydridae), for their capability to kill or severely damage hydrilla in a bioassay.

Donut-Shaped Fingerprint In Homologous Polypeptide Relationships-A Topological Feature Related To Pathogenic Structural Changes In Conformational Disease

Features of homologous relationship of proteins can provide us a general picture of protein universe, assist protein design and analysis, and further our comprehension of the evolution of organisms. Here we carried Out a Study of the evolution Of protein molecules by investigating homologous relationships among residue segments. The motive was to identify detailed topological features of homologous relationships for short residue segments in the whole protein universe. Based on the data of a large number of non-redundant Proteins, the universe of non-membrane polypeptide was analyzed by considering both residue mutations and structural conservation. By connecting homologous segments with edges, we obtained a homologous relationship network of the whole universe of short residue segments, which we named the graph of polypeptide relationships (GPR). Since the network is extremely complicated for topological transitions, to obtain an in-depth understanding, only subgraphs composed of vital nodes of the GPR were analyzed. Such analysis of vital subgraphs of the GPR revealed a donut-shaped fingerprint. Utilization of this topological feature revealed the switch sites (where the beginning of exposure Of previously hidden "hot spots" of fibril-forming happens, in consequence a further opportunity for protein aggregation is Provided; 188-202) of the conformational conversion of the normal alpha-helix-rich prion protein PrPC to the beta-sheet-rich PrPSc that is thought to be responsible for a group of fatal neurodegenerative diseases, transmissible spongiform encephalopathies. Efforts in analyzing other proteins related to various conformational diseases are also introduced. (C) 2009 Elsevier Ltd. All rights reserved.

Simulated pathogenic conformational switch regions matched well with the biochemical findings

Pathogenic conformational conversion is a general causation of many disease, such as transmissible spon- giform encephalopathy (TSE) caused by misfolding of prion, sickle cell anemia, and etc. In such structural changes, misfolding occurs in regions important for the stability of native structure firstly. This destabi- lizes the normal conformation and leads to subsequent errors in folding pathway. Sites involved in the first stage can be deemed switch regions of the protein, and are vital for conformational conversion. Namely it could be a switch of disease at residue level. Here we report an algorithm that can identify such sites computationally with an accuracy of 93%, by calculating the probability of the native structure of a short segment jumping to a mistake one. Knowledge of such switch sites could be used to target clinical therapy, study physiological and pathologic mechanism of protein, and etc.

Switch Region for Pathogenic Structural Change in Conformational Disease and Its Prediction

Many diseases are believed to be related to abnormal protein folding. In the first step of such pathogenic structural changes, misfolding occurs in regions important for the stability of the native structure. This destabilizes the normal protein conformation, while exposing the previously hidden aggregation-prone regions, leading to subsequent errors in the folding pathway. Sites involved in this first stage can be deemed switch regions of the protein, and can represent perfect binding targets for drugs to block the abnormal folding pathway and prevent pathogenic conformational changes. In this study, a prediction algorithm for the switch regions responsible for the start of pathogenic structural changes is introduced. With an accuracy of 94%, this algorithm can successfully find short segments covering sites significant in triggering conformational diseases (CDs) and is the first that can predict switch regions for various CDs. To illustrate its effectiveness in dealing with urgent public health problems, the reason of the increased pathogenicity of H5N1 influenza virus is analyzed; the mechanisms of the pandemic swine-origin 2009 A(H1N1) influenza virus in overcoming species barriers and in infecting large number of potential patients are also suggested. It is shown that the algorithm is a potential tool useful in the study of the pathology of CDs because: (1) it can identify the origin of pathogenic structural conversion with high sensitivity and specificity, and (2) it provides an ideal target for clinical treatment.

Genetic engineering of microorganisms: free release into the environment

Genetic engineering now makes possible the insertion of DNA from many organisms into other prokaryotic, eukaryotic and viral hosts. This technology has been used to construct a variety of such genetically engineered microorganisms (GEMs). The possibility of accidental or deliberate release of GEMs into the natural environment has recently raised much public concern. The prospect of deliberate release of these microorganisms has prompted an increased need to understand the processes of survival, expression, transfer and rearrangement of recombinant DNA molecules in microbial communities. The methodology which is being developed to investigate these processes will greatly enhance our ability to study microbial population ecology.

Cultural methods of detection for microorganisms: recent advances and successes

Most microbiological methods require culture to allow organisms to recover or to selectively increase, and target organisms are identified by growth on specific agar media. Many cultural methods take several days to complete and even then the results require confirmation. Alternative techniques include the use of chromogenic and fluorogenic substances to identify bacteria as they are growing, selective capture using antibodies after short periods of growth, molecular techniques, and direct staining with or without flow cytometry for enumeration and identification. Future microbiologists may not use culture but depend on the use of specific probes and sophisticated detection systems.

Microorganisms of the East African Great Lakes and their response to environmental changes

We have reviewed the phytoplankton composition and succession in the East African Great Lakes, their response to environmental changes, and the communities of microorganisms of the microbial food web. Recent studies in some great lakes, as well as progress in understanding phytoplankton succession and response to environmental factors, enable us to update knowledge of the phytoplankton ecology of these lakes. In particular, we present information indicating that phytoplankton composition in lakes Tanganyika and Kivu may reflect recent changes as a result of global warming or species introduction. We also stress the importance of microbes (at the base of the food web) in these systems and suggest that the microbial food web, which has been mostly overlooked until recently, may play a very large role in determining productivity and nutrient cycling in these large lakes.

Mapeamento de proteínas alvo para novos antifúngicos na fração microssomal e citosólica do patógeno humano Aspergillus fumigatus

A incidência de infecções fúngicas invasivas vem aumentando nos últimos anos. Estas infecções, em geral, apresentam altas taxas de mortalidade. A profilaxia com antifúngicos ainda é a estratégia mais comum na contenção da mortalidade e prevenção contra infecções fúngicas invasivas, porém, apresenta baixa eficiência, e relatos de resistência às drogas. Além disso, a terapia antifúngica é limitada a um pequeno grupo de drogas, como os polienos, azóis e equinocandinas. Desta forma, a busca de novos alvos de drogas é fundamental para o desenvolvimento de novos antifúngicos. Estudos in silico indicaram quatro genes como potenciais alvo de drogas em fungos patogênicos. Neste contexto, o objetivo deste trabalho foi verificar a expressão das proteínas codificadas por dois destes possíveis genes alvo, a proteína erg6, na fração microssomal, e trr1, na fração citosólica, em hifas de A. fumigatus. Visando alcançar este objetivo, foram primeiramente padronizadas todas as etapas de fracionamento celular visando isolar estas duas subfrações celulares de A. fumigatus. Posteriormente, foi otimizado o protocolo de extração e reidratação de proteínas microssomais bem como reidratação de proteínas citosólicas. Estes extratos foram submetidos a diferentes protocolos de fracionamento proteico em um sistema de eletroforese OFFGEL (OGE). Os resultados de Western immunoblot mostraram que estas duas proteínas, erg6 e trr1, são de fato expressas na fase filamentosa de A. fumigatus. O extrato proteico da fração microssomal submetido ao OGE em doze subfrações apresentou três subunidades da proteína erg6, reconhecidas pelo anticorpo monoclonal, com massas moleculares e pI distintos: uma subunidade de aproximadamente 79 kDa com pI entre 5,91 e 6,49, e outras duas subunidades de aproximadamente 35 kDa e 32 kDa, ambas com pI entre 6,49 e 7,08. A enzima erg6 foi descrita como um homotetrâmero em outros fungos. Porém, nossos resultados sugerem que, em A. fumigatus, a erg6 possui uma estrutura heterotetramérica. Quanto à proteína trr1, tanto no extrato total quanto nas frações resultantes do fracionamento em OGE, uma banda única de aproximadamente 40 kDa, com pI na faixa de 4,79 e 5,33, foi reconhecida pelo anticorpo policlonal. Desta forma, esta proteína parece ter uma estrutura homodimérica, assim como descrito em outros micro-organismos.

Incidence of human pathogenic bacteria in shrimp feeds - a study from India

The incidence of various human pathogenic bacteria in commercially available and home-made shrimp feeds used on some farms in India was analyzed. The Total Heterotrophic Bacteria in the commercial feed samples ranged between 103–105 cfu g-1 and those in the farm-made feeds between 106-107 cfu g-1. No bacteria of significance to human health were found to be associated with any of the commercial feed samples analyzed, while farm-made feeds analyzed during the study showed a high incidence of various human pathogens such as Vibrio parahaemolyticus, V. cholerae, Escherichia coli and Staphylococcus aureus. Possible modes of contamination in feeds and ways to prevent them are discussed.

Formação de biofilmes por Enterococcus faecium sensível e multirresistente aos antimicrobianos: características à proteômica

Enterococcus faecium tem se destacado no cenário das infecções hospitalares, particularmente, amostras portadoras de características de multirresistência. Apesar de serem responsabilizados como agentes etiológicos em diferentes quadros clínicos, fatores associados a patogênese das infecções ainda não estão esclarecidos. Entretanto, sabe-se que a capacidade de formação de biofilmes pode ser responsabilizada como um dos atributos capazes de promover o papel patogênico desses microrganismos. Assim sendo, este estudo se propôs a investigar a capacidade de formação de biofilmes por duas amostras de E. faecium: SS-1274 (derivada da amostra tipo da espécie) e CL-6729 (multirresistente e pertencente a um complexo clonal globalmente disperso). As amostras foram caracterizadas fenotipica e genotipicamente para confirmação da identificação, determinação da susceptibilidade a 17 antimicrobianos, caracterização da concentração mínima inibitória para ampicilina, gentamicina e vancomicina, determinação do genótipo vanA e detecção de genes associados a expressão dos genes asa1, cylA, esp, gelE e hyl. A análise quantitativa da formação por 24h e 72h dos biofilmes foi realizada por metodologia do cristal violeta, em placas de microtitulação de poliestireno. Foram construídas curvas de formação pela avaliação da DO570nm das preparações coradas por cristal violeta em períodos de tempo de 2h a 74h. A influência de subCMIs de ampicilina, gentamicina e vancomicina na formação de biofilmes de E. faecium foi também caracterizada em ensaios de quantificação da biomassa. A presença de DNA e proteínas foi avaliada em ensaios de destacamento e por fluorimetria. A arquitetura, distribuição espacial e reação aos fluorocromos Syto9 e SYPRO Ruby Protein foram evidenciadas por microscopia confocal de varredura a laser. Análises proteômicas através da avaliação por SDS-PAGE e por ESI-Q-TOF também foram empregadas para avaliação de biofilmes versus crescimento planctônico. Nossos resultados demonstraram que a amostra CL-6729 apresentou uma maior biomassa nos tempos analisados. Apesar da menor quantidade de biomassa da amostra SS-1274, o perfil da curva de formação foi semelhante a CL-6729. As análises da matriz por ensaios quantitativos e microscopia confocal revelaram que proteína parece ser um importante constituinte para ambas as amostras, entretanto biofilmes formados na presença de da CMI e durante 24h, parecem sofrer alterações na constituição. Os resultados relativos às espectrometrias de massa sugerem que células de biofilmes de E. faecium podem também estar metabolicamente ativas, devido a identificação de um considerável número de proteínas relacionadas ao metabolismo e divisão celular, similarmente às células planctônicas. No entanto, investigações complementares são necessárias para quantificar as diferenças relacionadas a sua expressão. Foi observado que ambas as amostras independente das variações fenotípicas e genotípicas são capazes de formar biofilmes maduros exibindo constituição e arquitetura similares. Entretanto, nossos resultados sugeriram que cada amostra responde as diferentes situações de acordo com seus determinantes de virulência e resistência.