Pedro M. Santos

Insights into yeast adaptive response to the agricultural fungicide mancozeb: A toxicoproteomics approach

Toxicogenomics has the potential to elucidate gene–environment interactions to identify genes that are affected by a particular chemical at the early stages of the toxicological response and to establish parallelisms between different organisms. The fungicide mancozeb, widely used in agriculture, is an ethylene‐bis‐dithiocarbamate complex with manganese and zinc. Exposure to this pesticide has been linked to the development of idiopathic Parkinsons disease and cancer. Given that many signalling pathways and their molecular components are substantially conserved among eukaryotic organisms, we used Saccharomyces cerevisiae to get insights into the molecular mechanisms of mancozeb toxicity and adaptation based on expression proteomics. The early global response to mancozeb was analysed by quantitative proteomics using 2‐DE. The target genes (e.g. TSA1, TSA2, SOD1, SOD2, AHP1, GRE2, GRX1, CYS3, PRE3, PRE6, PRE8, PRE9, EFT1, RPS5, TIF11, HSP31, HSP26, HSP104, HSP60, HSP70‐family) and the putative main transcription activators (e.g. Yap1, Msn2/Msn4, Met4, Hsf1, Aft1, Pdr1, Skn7, Rpn4p, Gcn4) of the complex mancozeb‐induced expression changes are related with yeast response to stress, in particular to oxidative stress, protein translation initiation and protein folding, disassembling of protein aggregates and degradation of damaged proteins. Our results also suggest that this study provided powerful indications that may be useful to expand the knowledge obtained in yeast not only to the global response to mancozeb toxicity in phytopathogenic fungi but also to humans.

Effect of aliphatic alcohols on growth and degree of saturation of membrane lipids in Acinetobacter calcoaceticus

The adaptive responses of the bacterium Acinetobacter calcoaceticus to different aliphatic alcohols on the level of the membrane fatty acids were studied in detail. The toxicity of the aliphatic alcohols increased with an increasing hydrophobicity. As alcohols are known to increase the fluidity of the membrane they consequently should cause the same adaptive effect on membrane level. Yet, cells of A. calcoaceticus react completely different to the alcohols: in the presence of long-chained alcohols they increase their degree of saturation, while in the presence of short-chained alcohols they decrease the degree of saturation. So, there are no observable differences in the adaptive responses of bacteria with the so-called anaerobic pathway, like Escherichia coli and Pseudomonas putida, and the bacterium carrying the so-called aerobic pathway like A. calcoaceticus. These results strongly indicate a physico-chemical difference in the membrane effect of both the partitioning and localisation of the different alcohols into the membrane and the membrane adaptive responses of the bacteria to these effects.

Physiological Analysis of the Expression of the Styrene Degradation Gene Cluster in Pseudomonas fluorescens ST

ABSTRACT The effects of different carbon sources on expression of the styrene catabolism genes in Pseudomonas fluorescens ST were analyzed by using a promoter probe vector, pPR9TT, which contains transcription terminators upstream and downstream of the β-galactosidase reporter system. Expression of the promoter of thestySR operon, which codes for the styrene two-component regulatory system, was found to be constitutive and not subject to catabolite repression. This was confirmed by the results of an analysis of the stySR transcript in P. fluorescensST cells grown on different carbon sources. The promoter of the operon of the upper pathway, designated PstyA, was induced by styrene and repressed to different extents by organic acids or carbohydrates. In particular, cells grown on succinate or lactate in the presence of styrene started to exhibit β-galactosidase activity during the mid-exponential growth phase, before the preferred carbon sources were depleted, indicating that there is a threshold succinate and lactate concentration which allows induction of styrene catabolic genes. In contrast, cells grown on glucose, acetate, or glutamate and styrene exhibited a diauxic growth curve, and β-galactosidase activity was detected only after the end of the exponential growth phase. In each experiment the reliability of the reporter system constructed was verified by comparing the β-galactosidase activity and the activity of the styrene monooxygenase encoded by the first gene of the styrene catabolic operon.

Response of Pseudomonas putida KT2440 to phenol at the level of membrane proteome

This study led to the extension and refinement of our current model for the global response of Pseudomonas putida KT2440 to phenol by getting insights into the adaptive response mechanisms involving the membrane proteome. A two-dimensional gel electrophoresis based protocol was optimized to allow the quantitative comparison of membrane proteins, by combining inner and outer membrane fractionation with membrane protein solubilization using the detergent dodecylmaltoside. Following phenol exposure, a coordinate increased content of protein subunits of known or putative solvent efflux pump systems (e.g. TtgA, TtgC, Ttg2A, Ttg2C, and PP_1516-7) and a decreased content of porins OprB, OprF, OprG and OprQ was registered, consistent with an adaptive response to reduce phenol intracellular concentration. This adaptive response may in part be mediated by post-translational modifications, as suggested by the relative content of the multiple forms identified for a few porins and efflux pump subunits. Results also suggest the important role of protein chaperones, of cell envelope and cell surface and of a more active respiratory chain in the response to phenol. All these mechanistic insights may be extended to Pseudomonas adaptation to solvents, of possible impact in biodegradation, bioremediation and biocatalysis.

Clinical utilization of genomics data produced by the international Pseudomonas aeruginosa consortium

The International Pseudomonas aeruginosa Consortium is sequencing over 1000 genomes and building an analysis pipeline for the study of Pseudomonas genome evolution, antibiotic resistance and virulence genes. Metadata, including genomic and phenotypic data for each isolate of the collection, are available through the International Pseudomonas Consortium Database (http://ipcd.ibis.ulaval.ca/). Here, we present our strategy and the results that emerged from the analysis of the first 389 genomes. With as yet unmatched resolution, our results confirm that P. aeruginosa strains can be divided into three major groups that are further divided into subgroups, some not previously reported in the literature. We also provide the first snapshot of P. aeruginosa strain diversity with respect to antibiotic resistance. Our approach will allow us to draw potential links between environmental strains and those implicated in human and animal infections, understand how patients become infected and how the infection evolves over time as well as identify prognostic markers for better evidence-based decisions on patient care.

Effect of solvent adaptation on the antibiotic resistance in Pseudomonas putida S12

Abstract The effect of the adaptation to toluene on the␣resistance to different antibiotics was investigated in the␣solvent-resistant strain Pseudomonas putida S12. We␣followed the process of the solvent adaptation of P.␣putida S12 by cultivating the strain in the presence␣of␣increasing concentrations of toluene and studied␣the correlation of this gradual adaptation to the resistance towards antibiotics. It was shown that the tolerance to various chemically and structurally unrelated antibiotics, with different targets in the cell, increased during this gradual adaptation. The survival of P. putida S12 in the presence of antibiotics like tetracycline, nigericin, polymyxin B, piperacillin or chloramphenicol increased 30- to and 1000-fold after adaptation to 600 mg/l toluene. However, cells grown in the absence of any solvents lost their adaptation to toluene even when grown in the presence of antibiotics. Results are discussed in terms of the physico-chemical properties of membranes as affected by the observed cis/trans isomerization of unsaturated fatty acids, as well as in terms of the active efflux of molecules from the cytoplasmic membrane.

The Outer Membrane Protein TolC from Sinorhizobium meliloti Affects Protein Secretion, Polysaccharide Biosynthesis, Antimicrobial Resistance, and Symbiosis

Sinorhizobium meliloti is capable of establishing a symbiotic nitrogen fixation relationship with Medicago sativa. During this process, it must cope with diverse environments and has evolved different types of transport systems that help its propagation in the plant roots. TolC protein family members are the outer-membrane components of several transport systems involved in the export of diverse molecules, playing an important role in bacterial survival. In this work, we have characterized the protein TolC from S. meliloti 2011. An insertional mutation in the tolC gene strongly affected the resistance phenotype to antimicrobial agents and induced higher susceptibility to osmotic and oxidative stresses. Immunodetection experiments and comparison of the extracellular proteins present in the supernatant of the wild-type versus tolC mutant strains showed that the calcium-binding protein ExpE1, the endoglycanase ExsH, and the product of open reading frame SMc04171, a putative hemolysin-type calcium-binding protein, are secreted by a TolC-dependent secretion system. In the absence of TolC, neither succinoglycan nor galactoglucan were detected in the culture supernatant. Moreover, S. meliloti tolC mutant induced a reduced number of nonfixing nitrogen nodules in M. sativa roots. Taken together, our results confirm the importance of TolC in protein secretion, exopolysaccharide biosynthesis, antimicrobials resistance, and symbiosis.

Quantitative proteomics (2-D DIGE) reveals molecular strategies employed by Burkholderia cenocepacia to adapt to the airways of cystic fibrosis patients under antimicrobial therapy

Chronic respiratory infections caused by Burkholderia cenocepacia in patients with cystic fibrosis (CF) are characterized by low responsiveness to antibiotic therapy and, in general, to a more rapid decline of lung function. To get clues into the molecular mechanisms underlying the adaptive strategies employed to deal with the stressing conditions of the CF lung including antibiotic therapy, quantitative proteomics (2‐D DIGE) was used to compare the expression programs of two clonal isolates retrieved from a chronically infected CF patient. Isolate IST439 was the first bacterium recovered while the clonal variant IST4113 was obtained after 3 years of persistent infection and intravenous therapy with ceftazidime/gentamicin. This isolate exhibits higher resistance levels towards different classes of antimicrobials. Proteins of the functional categories Energy metabolism, Translation, Nucleotide synthesis, Protein folding and stabilization are more abundant in IST4113, compared with IST439, suggesting an increased protein synthesis, DNA repair and stress resistance in IST4113. The level of proteins involved in peptidoglycan, membrane lipids and lipopolysaccharide synthesis is also altered and proteins involved in iron binding and transport are more abundant in IST4113. The quantitative comparison of the two proteomes suggests a genetic adaptation leading to increased antimicrobial resistance and bacterial persistence in the CF airways.

MUSA: a parameter free algorithm for the identification of biologically significant motifs

MOTIVATION The ability to identify complex motifs, i.e. non-contiguous nucleotide sequences, is a key feature of modern motif finders. Addressing this problem is extremely important, not only because these motifs can accurately model biological phenomena but because its extraction is highly dependent upon the appropriate selection of numerous search parameters. Currently available combinatorial algorithms have proved to be highly efficient in exhaustively enumerating motifs (including complex motifs), which fulfill certain extraction criteria. However, one major problem with these methods is the large number of parameters that need to be specified. RESULTS We propose a new algorithm, MUSA (Motif finding using an UnSupervised Approach), that can be used either to autonomously find over-represented complex motifs or to estimate search parameters for modern motif finders. This method relies on a biclustering algorithm that operates on a matrix of co-occurrences of small motifs. The performance of this method is independent of the composite structure of the motifs being sought, making few assumptions about their characteristics. The MUSA algorithm was applied to two datasets involving the bacterium Pseudomonas putida KT2440. The first one was composed of 70 sigma(54)-dependent promoter sequences and the second dataset included 54 promoter sequences of up-regulated genes in response to phenol, as suggested by quantitative proteomics. The results obtained indicate that this approach is very effective at identifying complex motifs of biological significance. AVAILABILITY The MUSA algorithm is available upon request from the authors, and will be made available via a Web based interface.

Long-Term Evolution of Burkholderia multivorans during a Chronic Cystic Fibrosis Infection Reveals Shifting Forces of Selection

Bacteria may become genetically and phenotypically diverse during long-term colonization of cystic fibrosis (CF) patient lungs, yet our understanding of within-host evolutionary processes during these infections is lacking. Here we combined current genome sequencing technologies and detailed phenotypic profiling of the opportunistic pathogen Burkholderia multivorans using sequential isolates sampled from a CF patient over 20 years. The evolutionary history of these isolates highlighted bacterial genes and pathways that were likely subject to strong selection within the host and were associated with altered phenotypes, such as biofilm production, motility, and antimicrobial resistance. Importantly, multiple lineages coexisted for years or even decades within the infection, and the period of diversification within the dominant lineage was associated with deterioration of the patient’s lung function. Identifying traits under strong selection during chronic infection not only sheds new light onto Burkholderia evolution but also sets the stage for tailored therapeutics targeting the prevailing lineages associated with disease progression. ABSTRACT Burkholderia multivorans is an opportunistic pathogen capable of causing severe disease in patients with cystic fibrosis (CF). Patients may be chronically infected for years, during which the bacterial population evolves in response to unknown forces. Here we analyze the genomic and functional evolution of a B. multivorans infection that was sequentially sampled from a CF patient over 20 years. The population diversified into at least four primary, coexisting clades with distinct evolutionary dynamics. The average substitution rate was only 2.4 mutations/year, but notably, some lineages evolved more slowly, whereas one diversified more rapidly by mostly nonsynonymous mutations. Ten loci, mostly involved in gene expression regulation and lipid metabolism, acquired three or more independent mutations and define likely targets of selection. Further, a broad range of phenotypes changed in association with the evolved mutations; they included antimicrobial resistance, biofilm regulation, and the presentation of lipopolysaccharide O-antigen repeats, which was directly caused by evolved mutations. Additionally, early isolates acquired mutations in genes involved in cyclic di-GMP (c-di-GMP) metabolism that associated with increased c-di-GMP intracellular levels. Accordingly, these isolates showed lower motility and increased biofilm formation and adhesion to CFBE41o− epithelial cells than the initial isolate, and each of these phenotypes is an important trait for bacterial persistence. The timing of the emergence of this clade of more adherent genotypes correlated with the period of greatest decline in the patient’s lung function. All together, our observations suggest that selection on B. multivorans populations during long-term colonization of CF patient lungs either directly or indirectly targets adherence, metabolism, and changes in the cell envelope related to adaptation to the biofilm lifestyle. IMPORTANCE Bacteria may become genetically and phenotypically diverse during long-term colonization of cystic fibrosis (CF) patient lungs, yet our understanding of within-host evolutionary processes during these infections is lacking. Here we combined current genome sequencing technologies and detailed phenotypic profiling of the opportunistic pathogen Burkholderia multivorans using sequential isolates sampled from a CF patient over 20 years. The evolutionary history of these isolates highlighted bacterial genes and pathways that were likely subject to strong selection within the host and were associated with altered phenotypes, such as biofilm production, motility, and antimicrobial resistance. Importantly, multiple lineages coexisted for years or even decades within the infection, and the period of diversification within the dominant lineage was associated with deterioration of the patient’s lung function. Identifying traits under strong selection during chronic infection not only sheds new light onto Burkholderia evolution but also sets the stage for tailored therapeutics targeting the prevailing lineages associated with disease progression.