920 resultados para Bacillus subtilis


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A piscicultura e outras atividades aqüícolas vêm ganhando importância por contribuir para a produção de alimentos diferenciados e como uma nova alternativa de renda nas propriedades rurais. O uso de agroquímicos nas regiões de entorno dos sistemas de produção aqüícola constitui uma ameaça para os organismos presentes nos mesmos e para a saúde do consumidor. Assim, tem-se incentivado o uso de produtos de menor risco a base de agentes biológicos de controle utilizados como biopesticidas. Apesar da conhecida inocuidade do uso de biopesticidas usados no combate a pragas, alguns relatos tem ocorrido sobre infecções e efeitos adversos em organismos não-alvo, entre estes, espécies aquáticas. No presente trabalho foi avaliado o efeito decorrente da exposição à cepa 344 de Bacillus thuringiensis (Bt344), em organismos de diferentes níveis tróficos da cadeia alimentar do compartimento aquático. Os organismos-teste foram expostos a concentrações correspondentes a mais de 1.000 vezes a dose de aplicação. O Bt344 não alterou os padrões de crescimento da alga Pseudokirchneriella subcapitata. Uma mortalidade significativa (8,9%), porém inferior ao limite aceitável para o controle (10%), foi constatada para o peixe Hyphessobrycon scholzei. Entretanto, a exposição ao agente biológico reduziu a sobrevivência de Dapnhia similis em 44,8% em relação ao controle, o que sugere um risco para espécies de invertebrados aquáticos.

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Although the attenuated Mycobacterium bovis Bacillus Calmette-Guérin (BCG) vaccine has been used since 1921, tuberculosis (TB) control still proceeds at a slow pace. The main reason is the variable efficacy of BCG protection against TB among adults, which ranges from 0-80%. Subsequently, the mc2-CMX vaccine was developed with promising results. Nonetheless, this recombinant vaccine needs to be compared to the standard BCG vaccine. The objective of this study was to evaluate the immune response induced by mc2-CMX and compare it to the response generated by BCG. BALB/c mice were immunised with both vaccines and challenged with Mycobacterium tuberculosis (Mtb). The immune and inflammatory responses were evaluated by ELISA, flow cytometry, and histopathology. Mice vaccinated with mc2-CMX and challenged with Mtb induced an increase in the IgG1 and IgG2 levels against CMX as well as recalled specific CD4+ T-cells that produced T-helper 1 cytokines in the lungs and spleen compared with BCG vaccinated and challenged mice. Both vaccines reduced the lung inflammatory pathology induced by the Mtb infection. The mc2-CMX vaccine induces a humoral and cellular response that is superior to BCG and is efficiently recalled after challenge with Mtb, although both vaccines induced similar inflammatory reductions.

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El aumento en las poblaciones de insectos plaga genera fuertes pérdidas en la producción agrícola. El control de plagas inicialmente se enfocó al empleo de insecticidas químicos; sin embargo, estos han causado un considerable daño al medio ambiente y a la salud humana, por lo que dentro de las alternativas de control se están empleando biopesticidas como la bacteria Bacillus thuringiensis (Bt). El empleo de esta bacteria se ha dificultado por el potencial desarrollo de insectos resistentes, lo cual está relacionado en general con cambios en la actividad enzimática y en los receptores de toxinas Cry en el intestino. Recientes estudios sugieren que se requiere de la microbiota intestinal para la actividad insecticida de Bt y que la respuesta inmune de los insectos podría verse afectada por el bioinsecticida. Por ello, en este trabajo se analizó el efecto de las bacterias intestinales en la respuesta inmune y en la susceptibilidad a Bt en el lepidóptero Plodia interpunctella, una de las plagas de granos almacenados de mayor importancia a nivel mundial. Así mismo, se realizó una descripción de los géneros bacterianos de dicho ecosistema mediante el análisis de secuencias del ARNr 16S bacteriano del intestino de larvas del insecto. Nuestros resultados demuestran la importancia de las bacterias intestinales de P. interpunctella en la susceptibilidad a Bt, teniendo una mortalidad de un 21% al erradicar la microbiota respecto a un 60% de mortalidad en su estado normal (con microbiota). La ausencia de microorganismos en el intestino modificó la respuesta inmune basal, aumentando el número de hemocitos y disminuyendo la expresión de hemolina, lo cual retardó el proceso de metamorfosis del insecto. Las larvas expuestas a Bt presentaron una disminución en los siguientes factores de inmunidad evaluados: número de hemocitos, actividad fenol oxidasa y expresión de hemolina. En cuanto a la diversidad bacteriana del intestino, los principales géneros de bacterias encontrados fueron Pseudomonas con un 26%, Achromobacter 14%, Methylobacterium 11% y un 9% de Propionibacterium, que al igual que los hábitos alimenticios del insecto, su microbioma fue diferente al reportado para otros lepidópteros. Estos resultados nos permiten concluir que la microbiota de P. interpunctella es fundamental para mantener una respuesta inmune basal y ayuda a modular la expresión de la hemolina, la cual se requiere para la metamorfosis del insecto. Así también, Bt puede disminuir dicha respuesta y matar al insecto sin la presencia de otras bacterias; sin embargo, éstas aumentan su actividad insecticida.

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O aumento da concentração de dióxido de carbono (CO2) atmosférico previsto para as próximas décadas poderá provocar alterações no manejo de doenças, devido a alteração na microbiota que atua no controle biológico. O agente causal da ferrugem do cafeeiro (Hemileia vastatrix) foi testado com seu antagonista Bacillus pumilus em discos foliares (1,5 cm) em bandejas com, aproximadamente, 380, 430, 700 e 1300 ppm de CO2. O antagonista foi inoculado 24 horas antes e depois da inoculação do patógeno e simultaneamente. As bandejas foram vedadas e incubadas no escuro por 24 horas e, a seguir, mantidas em fotoperíodo de 12 horas, a 22 °C e 100% de umidade relativa, com injeção freqüente de CO2. Após 32 dias, foram iniciadas as avaliações de esporulação nas lesões dos discos foliares. Houve diferença quanto à severidade da doença entre os tratamentos com injeção de CO2, sendo maior na concentração de 700 ppm. Não se obteve diferença entre os períodos de inoculação do antagonista. Nessas condições, o efeito do aumento da concentração de CO2 não interfere na ação do antagonista no controle biológico da ferrugem do cafeeiro.

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Bacillus cereus es una bacteria Gram-positiva usualmente implicada en brotes de intoxicaciones alimentarias así como en numerosas infecciones en pacientes hospitalizados que pueden ser mortales. Estos procesos infecciosos e intoxicaciones están directa o indirectamente relacionados con el ensamblaje de un biofilm que sirve de reservorio de células o protege ante condiciones adversas, las defensas del hospedador o la quimioterapia. Son numerosos los estudios sobre los genes implicados en la formación de biofilm en diversas especies, bajo condiciones de cultivo y tiempos no estandarizados, y bajo el supuesto de que unos genes de una especie se comportan de la misma forma en otras. En este trabajo analizamos en detalle y de forma comparativa el transcriptoma de las células planctónicas y las de biofilm a diferentes tiempos bajo condiciones estándar. Nuestros resultados desvelan un gran número de genes implicados en biofilm, muchos de ellos de función desconocida, y dan luz sobre este grupo de loci del genoma de Bacillus cereus, que además suelen estar bien conservados en Gram-positivos. En este trabajo nos centraremos en el grupo de los metabolitos secundarios y las toxinas, un sector del metabolismo clave en la interacción de Bacillus cereus con otras bacterias y sus hospedadores

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The science and technology interact with the art in several ways. Biotechnological coupled with analytical approaches can play an important role in protecting and preserving cultural heritage for future generations. Many microorganisms influenced by environmental conditions are the main responsible for biological contamination in built heritage. Biocides based on chemical compounds have been used to mitigate this problem. Thus, it is vitally important to develop proper remediation actions based on environmentally innocuous alternative. Bacillus specie is emerging as an optimistic alternative for built heritage treatment due to their capacity to produce secondary metabolites with antagonistic activities against many fungal pathogens. Therefore, the intent of this work was to access a rapid evaluation of antifungal potential of bioactive metabolites produced by Bacillus strains and simultaneously their characterization using spectroscopic (NMR) and chromatographic techniques (LCESI- MS). The high antifungal activity obtained for Bacillus sp. active compounds produced in this study confirms the great potential to suppress biodeteriogenic fungi growth on historical artworks. Additionally, the proposed methodology allowed to access bioactive metabolites produced without need of the laborious total previous isolation and could be used as a viable alternative to be employed for screening and production of new green biocides.

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As mudanças climáticas causadas pela degradação da camada de ozônio e pelo aumento da emissão de gases causadores do efeito estufa, podem ocasionar alterações não somente aos seres humanos, mamíferos, répteis ou aves, mas também aos microrganismos. Dentro deste contexto, o aumento nos níveis de radiação solar incidente na superfície da Terra pode afetar as interações que ocorrem entre bactérias e plantas, alterando tanto a ocorrência de doenças como as interações benéficas entre estes organismos. Muitos são os gêneros de bactérias que interagem com as plantas, colonizando os mais diferentes nichos presentes neste hospedeiro. Dentre os grupos bacterianos destacam-se os gêneros Bacillus sp e Pseudomonas sp, que possuem efeitos benéficos como a promoção de crescimento vegetal e a proteção de plantas contra doenças e pragas. Dessa forma, o atual trabalho tem a princípio, como enfoque, constatar a resistência de isolados dos dois gêneros mencionados, à radiação ultravioleta C (200 a 250 nm). Os resultados obtidos demonstram maior resistência da linhagem de Bacillus sp à radiação ultravioleta C em comparação à linhagem de Pseudomonas sp. fato que possivelmente está relacionado com a capacidade de produzir esporos, característica do gênero Bacillus. Este trabalho fornece dados iniciais para futuras avaliações do comportamento destas bactérias quando em interação com plantas e sob maiores níveis de radiação ultravioleta no ambiente.

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A área brasileira plantada com milho geneticamente modificado (GM) expressando genes Cry derivados da bactéria do solo Bacillus thuringiensis (Bt) aumentou de 4,9% (5,0 milhões de hectares) da área total plantada em 2009 para 81,4% (15,83 milhões de hectares) em 2014. No entanto, estudos sobre os efeitos da tecnologia Bt-milho sobre microrganismos não alvo em solos tropicais são incipientes. Dessa forma, foi realizado experimento de campo para avaliar a atividade fisiológica das comunidades bacterianas associadas com genótipos de milho Bt plantados em Latossolo Vermelho Escuro do Cerrado e solos hidromórficos da planície com inundações localizadas. Um híbrido não transgênico (30F35) e seus homólogos transgênicos 30F35Y (Cry1Ab) e 30F35H (Cry1F) foram plantados com delineamento de blocos casualizados com quatro repetições. Solos rizosféricos e não rizosféricos coletados de plantas no estádio de florescimento foram submetidos aos ensaios de diversidade metabólica com Biolog e atividades enzimáticas de urease, arginase, fosfatase ácida e fosfatase alcalina. Solos rizosféricos apresentaram maior atividade microbiana e não foram detectadas diferenças significativas entre os genótipos em todos os parâmetros bioquímicos e de solo avaliados. Os resultados sugerem que o milho Bt não afeta negativamente a comunidade microbiana dos solos tropicais.

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The SER spectra of riboflavin and FAD are identical and are resonance enhanced at 514 or 532 nm. Signals from FAD/ riboflavin dominated SER spectra whenever these compounds were present with proteins or bacteria. SER spectra of very different bacteria such as Pseudomonas. aeruginosa, Bacillu. subtilis and Geobacillus. stearothermophilus were dominated by signals from FAD, even when these bacteria were added to a preformed colloid. The SERS signal of FAD is greatly reduced at 785 nm, and SER spectra of bacteria excited at 785 nm are quite different than those collected at 514 or 532 nm. This supports the assignment of the peaks in the 514 nm SER spectra of bacteria to FAD rather to amino acids or N-acetylglucosamine. The SER spectra of certain mixes of adenine and FAD showed similar changes to those of bacteria when the excitation was changed from 514/532 nm to 785 nm. The ratio of colloid: bacteria was of critical important for obtaining good SER spectra, and the addition of sodium sulfate was also beneficial. Removal of EPS from bacteria before analysis facilitated interaction with the silver surface, and may be a useful step to include in identification protocols.

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Exponential growth of genomic data in the last two decades has made manual analyses impractical for all but trial studies. As genomic analyses have become more sophisticated, and move toward comparisons across large datasets, computational approaches have become essential. One of the most important biological questions is to understand the mechanisms underlying gene regulation. Genetic regulation is commonly investigated and modelled through the use of transcriptional regulatory network (TRN) structures. These model the regulatory interactions between two key components: transcription factors (TFs) and the target genes (TGs) they regulate. Transcriptional regulatory networks have proven to be invaluable scientific tools in Bioinformatics. When used in conjunction with comparative genomics, they have provided substantial insights into the evolution of regulatory interactions. Current approaches to regulatory network inference, however, omit two additional key entities: promoters and transcription factor binding sites (TFBSs). In this study, we attempted to explore the relationships among these regulatory components in bacteria. Our primary goal was to identify relationships that can assist in reducing the high false positive rates associated with transcription factor binding site predictions and thereupon enhance the reliability of the inferred transcription regulatory networks. In our preliminary exploration of relationships between the key regulatory components in Escherichia coli transcription, we discovered a number of potentially useful features. The combination of location score and sequence dissimilarity scores increased de novo binding site prediction accuracy by 13.6%. Another important observation made was with regards to the relationship between transcription factors grouped by their regulatory role and corresponding promoter strength. Our study of E.coli ��70 promoters, found support at the 0.1 significance level for our hypothesis | that weak promoters are preferentially associated with activator binding sites to enhance gene expression, whilst strong promoters have more repressor binding sites to repress or inhibit gene transcription. Although the observations were specific to �70, they nevertheless strongly encourage additional investigations when more experimentally confirmed data are available. In our preliminary exploration of relationships between the key regulatory components in E.coli transcription, we discovered a number of potentially useful features { some of which proved successful in reducing the number of false positives when applied to re-evaluate binding site predictions. Of chief interest was the relationship observed between promoter strength and TFs with respect to their regulatory role. Based on the common assumption, where promoter homology positively correlates with transcription rate, we hypothesised that weak promoters would have more transcription factors that enhance gene expression, whilst strong promoters would have more repressor binding sites. The t-tests assessed for E.coli �70 promoters returned a p-value of 0.072, which at 0.1 significance level suggested support for our (alternative) hypothesis; albeit this trend may only be present for promoters where corresponding TFBSs are either all repressors or all activators. Nevertheless, such suggestive results strongly encourage additional investigations when more experimentally confirmed data will become available. Much of the remainder of the thesis concerns a machine learning study of binding site prediction, using the SVM and kernel methods, principally the spectrum kernel. Spectrum kernels have been successfully applied in previous studies of protein classification [91, 92], as well as the related problem of promoter predictions [59], and we have here successfully applied the technique to refining TFBS predictions. The advantages provided by the SVM classifier were best seen in `moderately'-conserved transcription factor binding sites as represented by our E.coli CRP case study. Inclusion of additional position feature attributes further increased accuracy by 9.1% but more notable was the considerable decrease in false positive rate from 0.8 to 0.5 while retaining 0.9 sensitivity. Improved prediction of transcription factor binding sites is in turn extremely valuable in improving inference of regulatory relationships, a problem notoriously prone to false positive predictions. Here, the number of false regulatory interactions inferred using the conventional two-component model was substantially reduced when we integrated de novo transcription factor binding site predictions as an additional criterion for acceptance in a case study of inference in the Fur regulon. This initial work was extended to a comparative study of the iron regulatory system across 20 Yersinia strains. This work revealed interesting, strain-specific difierences, especially between pathogenic and non-pathogenic strains. Such difierences were made clear through interactive visualisations using the TRNDifi software developed as part of this work, and would have remained undetected using conventional methods. This approach led to the nomination of the Yfe iron-uptake system as a candidate for further wet-lab experimentation due to its potential active functionality in non-pathogens and its known participation in full virulence of the bubonic plague strain. Building on this work, we introduced novel structures we have labelled as `regulatory trees', inspired by the phylogenetic tree concept. Instead of using gene or protein sequence similarity, the regulatory trees were constructed based on the number of similar regulatory interactions. While the common phylogentic trees convey information regarding changes in gene repertoire, which we might regard being analogous to `hardware', the regulatory tree informs us of the changes in regulatory circuitry, in some respects analogous to `software'. In this context, we explored the `pan-regulatory network' for the Fur system, the entire set of regulatory interactions found for the Fur transcription factor across a group of genomes. In the pan-regulatory network, emphasis is placed on how the regulatory network for each target genome is inferred from multiple sources instead of a single source, as is the common approach. The benefit of using multiple reference networks, is a more comprehensive survey of the relationships, and increased confidence in the regulatory interactions predicted. In the present study, we distinguish between relationships found across the full set of genomes as the `core-regulatory-set', and interactions found only in a subset of genomes explored as the `sub-regulatory-set'. We found nine Fur target gene clusters present across the four genomes studied, this core set potentially identifying basic regulatory processes essential for survival. Species level difierences are seen at the sub-regulatory-set level; for example the known virulence factors, YbtA and PchR were found in Y.pestis and P.aerguinosa respectively, but were not present in both E.coli and B.subtilis. Such factors and the iron-uptake systems they regulate, are ideal candidates for wet-lab investigation to determine whether or not they are pathogenic specific. In this study, we employed a broad range of approaches to address our goals and assessed these methods using the Fur regulon as our initial case study. We identified a set of promising feature attributes; demonstrated their success in increasing transcription factor binding site prediction specificity while retaining sensitivity, and showed the importance of binding site predictions in enhancing the reliability of regulatory interaction inferences. Most importantly, these outcomes led to the introduction of a range of visualisations and techniques, which are applicable across the entire bacterial spectrum and can be utilised in studies beyond the understanding of transcriptional regulatory networks.