Advances in microbial diagnosis: using mass spectrometry for proteomics and genomics applications

Since the last two decades mass spectrometry (MS) has been applied to analyse the chemical cellular components of microorganisms, providing rapid and discriminatory proteomic profiles for their species identification and, in some cases, subtyping. The application of MS for the microbial diagnosis is currently well-established. The remarkable reproducibility and objectivity of this method is based on the measurement of constantly expressed and highly abundant proteins, mainly important conservative ribosomal proteins, which are used as markers to generate a cellular fingerprint. Mass spectrometry based on matrix-assisted laser desorption ionization-time of flight (MALDI- TOF) technique has been an important tool for the microbial diagnostic. However, some technical limitation concerning both MALDI-TOF and its used protocols for sample preparation have fostered the research of new mass spectrometry systems (e.g. LC MS/MS). LC MS/MS is able to generate online mass spectra of specific ions with further online sequencing of these ions, which include both specific proteins and DNA fragments. In this work a set of data for yeasts and filamentous fungi diagnostic obtained through an international collaboration project involving partners from Argentina, Brazil, Chile and Portugal will be presented and discussed.

Engineering modular viral scaffolds for targeted bacterial population editing

Bacteria are central to human health and disease, but existing tools to edit microbial consortia are limited. For example, broad-spectrum antibiotics are unable to precisely manipulate bacterial communities. Bacteriophages can provide highly specific targeting of bacteria, but assembling well-defined phage cocktails solely with natural phages can be a time-, labor- and cost-intensive process. Here, we present a synthetic biology strategy to modulate phage host ranges by engineering phage genomes in Saccharomyces cerevisiae. We used this technology to redirect Escherichia coli phage scaffolds to target pathogenic Yersinia and Klebsiella bacteria, and conversely, Klebsiella phage scaffolds to target E. coli by modular swapping of phage tail components. The synthetic phages achieved efficient killing of their new target bacteria and were used to selectively remove bacteria from multi-species bacterial communities with cocktails based on common viral scaffolds. We envision this approach accelerating phage biology studies and enabling new technologies for bacterial population editing.

Tree communities of white-sand and terra-firme forests of the upper Rio Negro

The high tree diversity and vast extent of Amazonian forests challenge our understanding of how tree species abundance and composition varies across this region. Information about these parameters, usually obtained from tree inventories plots, is essential for revealing patterns of tree diversity. Numerous tree inventories plots have been established in Amazonia, yet, tree species composition and diversity of white-sand and terra-firme forests of the upper Rio Negro still remain poorly understood. Here, we present data from eight new one-hectare tree inventories plots established in the upper Rio Negro; four of which were located in white-sand forests and four in terra-firme forests. Overall, we registered 4703 trees > 10 cm of diameter at breast height. These trees belong to 49 families, 215 genera, and 603 species. We found that tree communities of terra-firme and white-sand forests in the upper Rio Negro significantly differ from each other in their species composition. Tree communities of white-sand forests show a higher floristic similarity and lower diversity than those of terra-firme forests. We argue that mechanisms driving differences between tree communities of white-sand and terra-firme forests are related to habitat size, which ultimately influences large-scale and long-term evolutionary processes.

Lard as a suitable and cheap substrate for microbial lipids production by Yarrowia lipolytica

[Excerpt] Current agricultural and industrial practices have led to the generation of large amounts of various low-value or negative cost crude wastes, which are difficult and economically notattractive to treat and valorize. One important example of waste generation is animal fat, commonly found in tanning process and slaughterhouses. These wastes, in which the lipids are often the main and most problematic components, are not currently used effectively and there are almost no application methods to recover the respective value. (...)

Biotechnological valorization of waste cooking oils: lipase and microbial lipids production by Yarrowia lipolytica

[Excerpt] Waste cooking oils (WCO) generated from vegetable oils used at high temperatures in food frying, cause environmental problems and must be reutilized. New strategies to valorize these wastes are attracting a great scientific interest due to the important advantages offered from an economic and environmental point of view. A microbial platform can be established to convert low-value hydrophobic substrates, such as waste cooking oils, to microbial lipids (single cell oil, SCO) and other value-added bioproducts, such as lipase. (...)

Effect of sulfate and iron (III) on LCFA degradation by a methanogenic community

[Excerpt] Under anaerobic conditions long chain fatty acids (LCFA) can be converted to methane by syntrophic bacteria and methanogenic archaea. LCFA degradation was also reported in the presence of alternative hydrogenotrophic partners, such as sulfate-reducing bacteria (SRB) and iron-reducing bacteria (IRB), which generally show higher affinity for H2 than methanogens and are more resistant to LCFA [1,2,3]. Their presence in a microbial culture degrading LCFA can be advantageous to reduce LCFA toxicity towards methanogens, although high concentrations of external electron acceptor (EEA) can lead to outcompetition of methanogens and cease methane production. In this work, we tested the effect of adding sub-stoichiometric concentrations of sulfate and iron(III) to methanogenic communities degrading LCFA. (...)

Microbial respiration with chlorine oxyanions: diversity and physiological and biochemical properties of chlorate- and perchlorate-reducing microorganisms

Chlorine oxyanions are valuable electron acceptors for microorganisms. Recent findings have shed light on the natural formation of chlorine oxyanions in the environment. These suggest a permanent introduction of respective compounds on Earth, long before their anthropogenic manufacture. Microorganisms that are able to grow by the reduction of chlorate and perchlorate are affiliated with phylogenetically diverse lineages, spanning from the Proteobacteria to the Firmicutes and archaeal microorganisms. Microbial reduction of chlorine oxyanions can be found in diverse environments and different environmental conditions (temperature, salinities, pH). It commonly involves the enzymes perchlorate reductase (Pcr) or chlorate reductase (Clr) and chlorite dismutase (Cld). Horizontal gene transfer seems to play an important role for the acquisition of functional genes. Novel and efficient Clds were isolated from microorganisms incapable of growing on chlorine oxyanions. Archaea seem to use a periplasmic Nar-type reductase (pNar) for perchlorate reduction and lack a functional Cld. Chlorite is possibly eliminated by alternative (abiotic) reactions. This was already demonstrated for Archaeoglobus fulgidus, which uses reduced sulfur compounds to detoxify chlorite. A broad biochemical diversity of the trait, its environmental dispersal, and the occurrence of relevant enzymes in diverse lineages may indicate early adaptations of life toward chlorine oxyanions on Earth.

Tapping the wealth of microbial data in high-throughput metabolic model reconstruction

Genome-scale metabolic models are valuable tools in the metabolic engineering process, based on the ability of these models to integrate diverse sources of data to produce global predictions of organism behavior. At the most basic level, these models require only a genome sequence to construct, and once built, they may be used to predict essential genes, culture conditions, pathway utilization, and the modifications required to enhance a desired organism behavior. In this chapter, we address two key challenges associated with the reconstruction of metabolic models: (a) leveraging existing knowledge of microbiology, biochemistry, and available omics data to produce the best possible model; and (b) applying available tools and data to automate the reconstruction process. We consider these challenges as we progress through the model reconstruction process, beginning with genome assembly, and culminating in the integration of constraints to capture the impact of transcriptional regulation. We divide the reconstruction process into ten distinct steps: (1) genome assembly from sequenced reads; (2) automated structural and functional annotation; (3) phylogenetic tree-based curation of genome annotations; (4) assembly and standardization of biochemistry database; (5) genome-scale metabolic reconstruction; (6) generation of core metabolic model; (7) generation of biomass composition reaction; (8) completion of draft metabolic model; (9) curation of metabolic model; and (10) integration of regulatory constraints. Each of these ten steps is documented in detail.

Microbial production of potent phenolic-antioxidants through solid state fermentation

The agroindustrial residues including plant tissues rich in polyphenols were explored for microbial production of potent phenolics under solid state fermentation processes. The fungal strains capable of hydrolyzing tannin-rich materials were isolated from Mexican semidesert zones. These microorganisms have been employed to release potent phenolic antioxidants during the solid state fermentation of different materials (pomegranate peels, pecan nut shells, creosote bush and tar bush). This chapter includes the critical parameters for antioxidants production from selective microbes. Technical aspects of the microbial fermentation of antioxidants have also been discussed.

Priming of a DNA metabarcoding approach for species identification and inventory in marine macrobenthic communities

Dissertação de mestrado em Molecular Genetics

Effects of fermentation residues on the melt processability and thermomechanical degradation of PHBV produced from cheese whey using mixed microbial cultures

"Available online 28 March 2016"

Influence of oxygen conditions on bacterial interactions within biofilms related with cystic fibrosis

Dissertação de mestrado em Bioengineering

Characterization of microbial populations in a wastewater treatment plant focusing on Staphylococcus aureus and Pseudomonas aeruginosa

Dissertação de mestrado em Bioengenharia

Aspectos moleculares del desarrollo de biofilms, la colonización de la planta y la emisión de compuestos orgánicos volátiles en bacterias rizosféricas. Molecular aspects of biofilm development, plant colonization and microbial volatile organic emission in rhizospheric bacteria.

Las bacterias que habitan la rizosfera y que poseen la capacidad de provocar un efecto positivo sobre las plantas son denominadas en su conjunto como Rizobacterias Promotoras del Crecimiento Vegetal (PGPR). Estas bacterias han desarrollado diferentes estrategias para adaptarse a diversas condiciones ambientales. La capacidad para responder a variaciones en la disponibilidad nutricional permite la persistencia de la bacteria en el suelo y mejora sus posibilidades para colonizar la planta hospedadora. En la naturaleza, a menudo las bacterias se encuentran en estructuras de comunidades de microorganismos interconectados denominados biofilms, con un estilo de vida diferente al de la vida en forma planctónica. La formación del biofilm podría representar una estrategia de supervivencia de la rizobacteria a condiciones adversas del suelo. Por Microscopía Confocal de Barrido Láser (CLSM), hemos observado que Rhizobium leguminosarum desarrolla un biofilm característico sobre una superficie abiótica. Hemos identificado algunos de los factores genéticos que influyen en su formación. El presente proyecto propone avanzar en el conocimiento de los factores ambientales y genéticos que influyen sobre la capacidad de las rizobacterias para formar biofilms y su impacto en la interacción con las plantas. A través de enfoques genéticos (mutacionales y de expresión génica) y análisis por CLSM nos proponemos acercarnos a un modelo de los factores de superficie, extracelulares y regulatorios propios de la bacteria que influyen en las propiedades de adhesión y la formación de biofilms. Por último, se intentará correlacionar la emisión de compuestos orgánicos volátiles por las bacterias rizosféricas con ciertos aspectos de la promoción del crecimiento de las plantas.

La biodiversidad microbiana del suelo y su rol en el manejo de enfermedades causadas por hongos de suelo en soja. Soil microbial diversity and its key role in the management of soybean diseases caused by fungi.

Las poblaciones microbianas juegan un rol fundamental en la estabilidad de los sistemas agrícolas e indican los niveles de salud de un suelo, tanto que pueden ser utilizadas como indicadores de sustentabilidad de un agroecosistema. Los microorganismos reflejan el efecto que tienen las prácticas agrícolas sobre el suelo a través de modificaciones en la abundancia (biodiversidad estructural) y actividades de sus poblaciones (como control biológico de los patógenos, entre otras). Al cuantificarse la biodiversidad microbiana nativa se puede conocer la riqueza de un agroecosistema y utilizarla para el manejo sustentable de hongos patógenos. En este trabajo se evaluará el efecto de la rotación de cultivo (soja-maíz y soja en monocultivo) y los sistemas de labranza (siembra directa y labranzas reducida) sobre la biodiversidad microbiana. Se cuantificarán a partir de suelo: poblaciones de hongos y bacterias totales; agentes potenciales de biocontrol de como Trichoderma spp., Gliocladium spp. y micorrizas vesículo arbusculares (mediante la cuantificación de glomalina), biomasa y respiracion microbiana, y la biodiversidad de comunidades de microorganismos que habitan en el suelo mediante el análisis de perfiles de ácidos grasos (PLFA). Al final del ciclo de cultivo de soja se cuantificará la incidencia de enfermedades causadas por hongos de suelo. Dada la gran abundancia y diversidad de los microorganismos del suelo, las metodologías que se emplearán permitirán obtener información global de la riqueza microbiana de un agro-ecosistema. Se relacionará la biodiversidad microbiana con la incidencia de enfermedades por hongos de suelo, en respuesta a diferentes prácticas de manejo. Esto permitirá aprender a combinar las tecnologías para mejorar los beneficios de la produccion y preservar el agroecosistema en el marco de una agricultura sustentable, y no de una agricultura sostenida por insumos.