Autoinducer 2 (or AI-2) is one of the molecules used by bacteria to trigger the Quorum Sensing (QS) response, which activates expression of genes involved in a series of alternative mechanisms, when cells reach high population densities (including bioluminescence, motility, biofilm formation, stress resistance, and production of public goods, or pathogenicity factors, among others). Contrary to most autoinducers, AI-2 can induce QS responses in both Gram-negative and Gram-positive bacteria, and has been suggested to constitute a trans-specific system of bacterial communication, capable of affecting even bacteria that cannot produce this autoinducer. In this work, we demonstrate that the ethanologenic Gram-negative bacterium Zymomonas mobilis (a non-AI-2 producer) responds to exogenous AI-2 by modulating expression of genes involved in mechanisms typically associated with QS in other bacteria, such as motility, DNA repair, and nitrogen fixation. Interestingly, the metabolism of AI-2-induced Z. mobilis cells seems to favor ethanol production over biomass accumulation, probably as an adaptation to the high-energy demand of N2 fixation. This opens the possibility of employing AI-2 during the industrial production of second-generation ethanol, as a way to boost N2 fixation by these bacteria, which could reduce costs associated with the use of nitrogen-based fertilizers, without compromising ethanol production in industrial plants.
Background The genus Paracoccidioides consists of thermodymorphic fungi responsible for Paracoccidioidomycosis (PCM), a systemic mycosis that has been registered to affect ~10 million people in Latin America. Biogeographical data subdivided the genus Paracoccidioides in five divergent subgroups, which have been recently classified as different species. Genomic sequencing of five Paracoccidioides isolates, representing each of these subgroups/species provided an important framework for the development of post-genomic studies with these fungi. However, functional annotations of these genomes have not been submitted to manual curation and, as a result, ~60–90% of the Paracoccidioides protein-coding genes (depending on isolate/annotation) are currently described as responsible for hypothetical proteins, without any further functional/structural description. Principal findings The present work reviews the functional assignment of Paracoccidioides genes, reducing the number of hypothetical proteins to ~25–28%. These results were compiled in a relational database called ParaDB, dedicated to the main representatives of Paracoccidioides spp. ParaDB can be accessed through a friendly graphical interface, which offers search tools based on keywords or protein/DNA sequences. All data contained in ParaDB can be partially or completely downloaded through spreadsheet, multi-fasta and GFF3-formatted files, which can be subsequently used in a variety of downstream functional analyses. Moreover, the entire ParaDB environment has been configured in a Docker service, which has been submitted to the GitHub repository, ensuring long-term data availability to researchers. This service can be downloaded and used to perform fully functional local installations of the database in alternative computing ecosystems, allowing users to conduct their data mining and analyses in a personal and stable working environment. Conclusions These new annotations greatly reduce the number of genes identified solely as hypothetical proteins and are integrated into a dedicated database, providing resources to assist researchers in this field to conduct post-genomic studies with this group of human pathogenic fungi.
Paracoccidioides brasiliensis is a thermodimorphic fungus associated with paracoccidioidomycosis (PCM), the most common systemic mycosis in Latin America. PCM treatment involves a long-term chemotherapeutic approach and relapses occur at an alarming frequency. Moreover, the emergence of strains with increased drug-resistance phenotypes puts constant pressure on the necessity to develop new alternatives to treat systemic mycoses. In this work, we show that the phenothiazine (PTZ) derivative thioridazine (TR) inhibits in vitro growth of P. brasiliensis yeasts at micromolar concentrations. We employed microarray hybridization to examine how TR affects gene expression in this fungus, identifying ~1800 genes that were modulated in response to this drug. Dataset evaluation showed that TR inhibits the expression of genes that control the onset of the cell wall integrity (CWI) response, hampering production of all major structural polysaccharides of the fungal cell wall (chitin, α-glucan and β-glucan). Although TR and other PTZs have been shown to display antimicrobial activity by various mechanisms, inhibition of CWI signaling has not yet been reported for these drugs. Thus, TR may provide a novel approach to treat fungal infections by targeting cell wall biogenesis.
This paper describes a transcriptomic profiling of Paracoccidioides brasiliensis (Pb) performed with the aid of an RNA-seq-based approach, aimed at characterizing the general transcriptome in this human pathogenic fungus, responsible for paracoccidioidomycosis (PCM). Results confirm that ∼75% of the genes currently annotated in the P. brasiliensis genome are, in fact, transcribed in vivo and that ∼19% of them may display alternative isomorphs. Moreover, we identified 627 transcripts that do not match any gene currently mapped in the genome, represented by 114 coding transcripts (probably derived from previously unmapped protein-coding genes) and 513 noncoding RNAs (ncRNAs), including 203 long-noncoding RNAs (lncRNAs).
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