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21 pages, 5025 KiB  
Article
Transcriptome Analysis Reveals the Mechanism of Y0-C10-HSL on Biofilm Formation and Motility of Pseudomonas aeruginosa
by Deping Tang, Yali Liu, Huihui Yao, Yanyan Lin, Yanpeng Xi, Mengjiao Li and Aihong Mao
Pharmaceuticals 2024, 17(12), 1719; https://doi.org/10.3390/ph17121719 - 19 Dec 2024
Viewed by 309
Abstract
Background: Pseudomonas aeruginosa (P. aeruginosa) is a type of pathogen that takes advantage of opportunities to infect and form biofilm during infection. Inhibiting biofilm formation is a promising approach for the treatment of biofilm-related infections. Methods: Here, Y0-C10-HSL (N-cyclopentyl-n-decanamide) was [...] Read more.
Background: Pseudomonas aeruginosa (P. aeruginosa) is a type of pathogen that takes advantage of opportunities to infect and form biofilm during infection. Inhibiting biofilm formation is a promising approach for the treatment of biofilm-related infections. Methods: Here, Y0-C10-HSL (N-cyclopentyl-n-decanamide) was designed, synthesized, and tested for its effect on biofilm formation, motility, and the Caenorhabditis elegans (C. elegans) survival assay. In addition, the molecular mechanism of Y0-C10-HSL on P. aeruginosa biofilm formation was explored using transcriptome analysis. Results: At a concentration of 200 μmol/L Y0-C10-HSL, biofilm and exopolysaccharides were decreased by 38.5% and 29.3%, respectively; Y0-C10-HSL effectively dispersed the pre-formed biofilm and inhibited the motility ability of P. aeruginosa; and the C. elegans survival assay showed that Y0-C10-HSL was safe and provided protection to C. elegans against P. aeruginosa infection (the survival rates of C. elegans were higher than 74% and increased by 39%, 35.1%, and 47.5%, respectively, when treated with 200 μmol/L Y0-C10-HSL at 24, 48, and 80 h). Transcriptome analysis showed that 585 differentially expressed genes (DEGs) were found after treatment with 200 μmol/L Y0-C10-HSL, including 254 up-regulated DEGs and 331 down-regulated DEGs. The genes involved in the quorum sensing system and biofilm formation were down-regulated. Conclusions: Y0-C10-HSL inhibited the biofilm formation and dispersed the pre-formed biofilm of P. aeruginosa through down-regulated genes related to quorum sensing pathways and biofilm formation. These findings provide a theoretical foundation for the treatment and prevention of antibiotic resistance in clinical and environmental microorganisms such as P. aeruginosa. Full article
(This article belongs to the Section Biopharmaceuticals)
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<p>Chemical synthesis of compound Y0-C10-HSL. Cyclopentylamine and decanoyl chloride were reacted at 0 °C for 30 min and room temperature for 14 h. Y0-C10-HSL (N-cyclopentyl-n-decanamide) was isolated using the extraction method.</p>
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<p>Effect of different concentrations of Y0-C10-HSL on the growth curve of <span class="html-italic">P. aeruginosa</span>. Bacteria were cultured in a PPGAS medium at 37 °C and 150 rpm for 24 h under 0, 10, 100, and 200 μmol/L Y0-C10-HSL, respectively. OD<sub>600</sub> was measured every 2 h.</p>
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<p>Effect of Y0-C10-HSL on <span class="html-italic">P. aeruginosa</span> biofilm. (<b>A</b>) Effect of Y0-C10-HSL on biofilm formation of <span class="html-italic">P. aeruginosa</span>. (<b>B</b>) The dispersion effect of Y0-C10-HSL on pre-formed biofilm of <span class="html-italic">P. aeruginosa</span>. (<b>C</b>) Effect of Y0-C10-HSL on the structure of biofilm. The analysis method used was a <span class="html-italic">t</span>-test; **: significant difference (<span class="html-italic">p</span> &lt; 0.01).</p>
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<p>Effect of Y0-C10-HSL on the surface chemical groups of extracellular polymers and exopolysaccharides of <span class="html-italic">P. aeruginosa</span>. (<b>A</b>) Effect of Y0-C10-HSL on exopolysaccharides. (<b>B</b>) Effect of Y0-C10-HSL on the surface chemical groups of extracellular polymers. The analysis method used was a <span class="html-italic">t</span>-test; *: significant difference (0.01 &lt; <span class="html-italic">p</span> &lt; 0.05); **: significant difference (<span class="html-italic">p</span> &lt; 0.01).</p>
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<p>Effect of Y0-C10-HSL on the motility of <span class="html-italic">P. aeruginosa</span>. (<b>A</b>) Swimming distance of each group. (<b>B</b>) Twitching diameter of each group. (<b>C</b>) Swimming motility and twitching motility. The analysis method used was a <span class="html-italic">t</span>-test; ns: no significant difference (<span class="html-italic">p</span> &gt; 0.05); *: significant difference (0.01 &lt; <span class="html-italic">p</span> &lt; 0.05); **: significant difference <span class="html-italic">(p</span> &lt; 0.01).</p>
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<p>Effect of Y0-C10-HSL on <span class="html-italic">C. elegans</span> survival assay. Nematode Growth Medium (NGM) plate contained different concentrations of Y0-C10-HSL (10, 100, and 200 μmol/L) was inoculated with <span class="html-italic">E. coli</span> OP50 and <span class="html-italic">P. aeruginosa</span>; after culturing for 24 h, L4-stage <span class="html-italic">C. elegans</span> worms were transferred onto the plate. <span class="html-italic">C. elegans</span> survival assay was measured every 8 h.</p>
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<p>Differentially expressed gene map. (<b>A</b>) Scatter plot of differentially expressed genes. (<b>B</b>) Heat map of differentially expressed genes. Red indicates up-regulated genes, blue indicates down-regulated genes.</p>
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<p>Enrichment analysis of the differentially expressed genes. (<b>A</b>) GO enrichment analysis of down-regulated DEGs. (<b>B</b>) GO enrichment analysis of up-regulated DEGs. (<b>C</b>) KEGG enrichment analysis of down-regulated DEGs. (<b>D</b>) KEGG enrichment analysis of up-regulated DEGs.</p>
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<p>Mechanism of Y0-C10-HSL on <span class="html-italic">P. aeruginosa</span> biofilm. Red arrows indicate reverse regulation or inhibition, and green arrows indicate promotion or positive regulation.</p>
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<p>Design ideas of quorum sensing analogues.</p>
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27 pages, 1996 KiB  
Review
Pseudomonas aeruginosa: A Bacterial Platform for Biopharmaceutical Production
by Doumit Camilios-Neto, Rodolfo Ricken do Nascimento, Jonathan Ratko, Nicole Caldas Pan, Rubia Casagrande, Waldiceu A. Verri and Josiane A. Vignoli
Future Pharmacol. 2024, 4(4), 892-918; https://doi.org/10.3390/futurepharmacol4040047 - 18 Dec 2024
Viewed by 419
Abstract
Pseudomonas aeruginosa is a metabolically versatile opportunistic pathogen capable of surviving in a range of environments. The major contribution to these abilities relies on virulence factor production, e.g., exotoxins, phenazines, and rhamnolipids, regulated through a hierarchical system of communication, named quorum sensing (QS). [...] Read more.
Pseudomonas aeruginosa is a metabolically versatile opportunistic pathogen capable of surviving in a range of environments. The major contribution to these abilities relies on virulence factor production, e.g., exotoxins, phenazines, and rhamnolipids, regulated through a hierarchical system of communication, named quorum sensing (QS). QS involves the production, release, and recognition of two classes of diffusible signal molecules: N-acyl-homoserine lactones and alkyl-quinolones. These present a central role during P. aeruginosa infection, regulating bacterial virulence and the modulation of the host immune system. The influence of this arsenal of virulence factors on bacterial–host interaction makes P. aeruginosa a highly potential platform for the development of biopharmaceuticals. Here, we comprehensively reviewed the therapeutical applications of P. aeruginosa virulence factors and quorum sensing signaling molecules on pathological conditions, ranging from infections and inflammation to cancer disease. Full article
(This article belongs to the Special Issue Feature Papers in Future Pharmacology 2024)
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Graphical abstract

Graphical abstract
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<p>N-acyl-homoserine lactones. (<b>a</b>) N-(3-oxododecanoyl)-HSL (3OC12-HSL) and (<b>b</b>) N-butyryl-HSL (C4-HSL).</p>
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<p>Alkyl-quinolones. (<b>a</b>) 2-heptyl-3-hydroxy-4-quinolone (PQS), (<b>b</b>) 2-heptyl-4-quinolone (HHQ), (<b>c</b>) 2-nonyl-3-hydroxy-4-quinolone (C9-PQS), (<b>d</b>) 2-nonyl-4-quinolone (NHQ), (<b>e</b>) 2-heptyl-4-quinolone N-oxide (HQNO) and (<b>f</b>) 2-nonyl-3-hydroxy-4-quinolone N-oxide (NQNO).</p>
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<p>Exotoxin A and its variant recombinant immunotoxins. (<b>a</b>) PE toxin divided into three domains, (<b>b</b>) PE38—removal PE domain Ia and nonfunctional 365–280 aa of domain II, (<b>c</b>) PE25—PE38 removal domain II except furin cleavage site.</p>
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<p>Phenazines. (<b>a</b>) Pyocianin (PYO), (<b>b</b>) Phenzine-1-carboxylic acid (PCA), (<b>c</b>) 1-hydroxyphenazine (1-OH-PHZ), (<b>d</b>) Phenazine-1-carboxamide (PCN), (<b>e</b>) 5-methyl-phenazine-1-carboxylic acid (5-Me-PCA), (<b>f</b>) Aeruginosin A (AA) and (<b>g</b>) Aeruginosin B (AB).</p>
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<p>Aeruginaldehyde and rhamnolipids structures: (<b>a</b>) aeruginaldehyde; (<b>b</b>) the most abundant mono-rhamnolipid congener Rha-C<sub>10</sub>-C<sub>10</sub>; and (<b>c</b>) the most abundant di-rhamnolipid congener Rha-Rha-C<sub>10</sub>-C<sub>10</sub>.</p>
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<p>Pseudomonas aeruginosa: virulence arsenal and potential drugs.</p>
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21 pages, 1976 KiB  
Article
Effects of Several Bile Acids on the Production of Virulence Factors by Pseudomonas aeruginosa
by Noureddine Lomri and Christian Hulen
Life 2024, 14(12), 1676; https://doi.org/10.3390/life14121676 - 18 Dec 2024
Viewed by 270
Abstract
The presence of bile acids in the cystic fibrosis patient’s lungs contributes to an increase in the inflammatory response, in the dominance of pathogens, as well as in the decline in lung function, increasing morbidity. The aim of this study is to determine [...] Read more.
The presence of bile acids in the cystic fibrosis patient’s lungs contributes to an increase in the inflammatory response, in the dominance of pathogens, as well as in the decline in lung function, increasing morbidity. The aim of this study is to determine the effects of exposure of Pseudomonas aeruginosa to primary and secondary bile acids on the production of several virulence factors which are involved in its pathogenic power. The presence of bile acids in the bacterial culture medium had no effect on growth up to a concentration of 1 mM. However, a slight decrease in the adhesion index as well as a reduction in the virulence of the bacteria on the HT29 cell line could be observed. In this model, exposure of P. aeruginosa to bile acids showed a significant decrease in the production of LasB and AprA proteases due to the reduction in the expression of their genes. A decrease in pyocyanin production was also observed in relation to the effects of bile acids on the quorum sensing regulators. In order to have an effect on gene expression, it is necessary for bile acids to enter the bacteria. P. aeruginosa harbors two potential homologs of the eukaryotic genes encoding the bile acid transporters NTCP1 and NTCP2 that are expressed in hepatocytes and enterocytes, respectively. By carrying out a comparative BLAST-P between the amino acid sequences of the PAO1 proteins and those of NTCP1 and NTCP2, we identified the products of the PA1650 and PA3264 genes as the unique homologs of the two eukaryotic genes. Exposure of the mutant in the PA1650 gene to chenodeoxycholic acid (CDCA) and lithocholic acid (LCA) showed a less significant effect on pyocyanin production than with the isogenic PAO1 strain. Also, no effect of CDCA on the PA3264 gene mutant was observed. This result indicated that CDCA should enter the bacteria by the transporter produced by this gene. The entry of LCA into bacteria seemed more complex and rather responded to a multifactorial system involving the product of the PA1650 gene but also the products of other genes encoding potential transporters. Full article
(This article belongs to the Section Microbiology)
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<p>Bile acids used in this study.</p>
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<p>Effects of 24 h exposure to increasing CDCA, GDCA, and LCA concentrations on the growth of <span class="html-italic">P. aeruginosa</span> PAO1. Bacteria were grown for 24 h in a 96-well plate containing increasing concentrations of bile acids at 37 °C in a wet chamber. The absorbance at 595 nm is measured in a µQuant plate reader at t<sub>0</sub> and at t<sub>24</sub>. The average of the absorbance at 24 h in the wells with bile acid was calculated and compared to the average of the absorbance values in the absence of bile acid. The relative growth value with its standard deviation was then plotted as a function of the bile acid concentration in the wells. Results are the mean values of three independent experiments.</p>
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<p>Percentage of HT29 cells surviving after 48 h of exposure to PAO1 culture supernatants treated or not with bile acids. PAO1 was grown for 24 h at 37 °C with shaking in 25 mL LB medium in the presence or absence of 1 mM bile acids. After centrifugation of the bacteria, the supernatants were concentrated twice in a dialysis hose on a PEG bed. Increasing amounts of supernatants from 0.1 to 100 µL were added to confluent HT29 cells and incubated for 48 h at 37 °C in a CO<sub>2</sub> incubator. Then, the cells were washed gently with DMEM medium and the adherent cells were stained with 0.1% crystal violet. After removal of the dye, the adherent cells were washed then lysed with 1% SDS. The absorbance at 595 nm was measured in a plate reader and the absorbance values of the wells containing the supernatants of the bile acid-treated bacteria compared to those obtained with the supernatants of the untreated bacteria were measured. Mean values with SD reported in the figure were obtained by the average of the values resulting from three independent experiments carried out under the same conditions.</p>
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<p>Measurement of <span class="html-italic">P. aeruginosa</span> virulence on HT29 cells after treatment of the bacteria with bile acids. PAO1 was grown for 24 h at 37 °C with shaking in LB medium in the presence or absence of 1 mM bile acids. After centrifugation, 5 × 10<sup>8</sup> bacteria were suspended in 1 mL unsupplemented DMEM and added to confluent HT29 cells in a 24-well plate and incubated for 4 h at 37 °C with 5% CO<sub>2</sub>. Then, the cells were washed gently with unsupplemented DMEM medium and the adherent cells were stained with 0.1% crystal violet. After removal of the dye, the adherent cells were washed, and then lysed with 1% SDS. Absorbance at 595 nm was measured in a plate reader. The mean value with the SD for untreated bacteria was compared to the mean values of treated bacteria to determine the percentage of surviving cells. The <span class="html-italic">p</span>-values associated with each percentage of inhibition were obtained by the Fisher–Snedecor variance analysis test (*** <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.1).</p>
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<p>Visualization on 1.2% agarose gel of the RT-PCR products (20 cycles) of the genes encoding elastase (<span class="html-italic">las</span>B: amplicon 261 bp), pseudaminidase (<span class="html-italic">nan</span>A: amplicon 893 bp) gel 1, and alkaline protease (<span class="html-italic">apr</span>A: amplicon 488 bp) gel 2, following the treatments of bacteria with 1 mM bile acids.</p>
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13 pages, 842 KiB  
Article
Genome Insights into Beneficial Microbial Strains Composing SIMBA Microbial Consortia Applied as Biofertilizers for Maize, Wheat and Tomato
by Lisa Cangioli, Silvia Tabacchioni, Andrea Visca, Alessia Fiore, Giuseppe Aprea, Patrizia Ambrosino, Enrico Ercole, Soren Sørensen, Alessio Mengoni and Annamaria Bevivino
Microorganisms 2024, 12(12), 2562; https://doi.org/10.3390/microorganisms12122562 - 12 Dec 2024
Viewed by 522
Abstract
For the safe use of microbiome-based solutions in agriculture, the genome sequencing of strains composing the inoculum is mandatory to avoid the spread of virulence and multidrug resistance genes carried by them through horizontal gene transfer to other bacteria in the environment. Moreover, [...] Read more.
For the safe use of microbiome-based solutions in agriculture, the genome sequencing of strains composing the inoculum is mandatory to avoid the spread of virulence and multidrug resistance genes carried by them through horizontal gene transfer to other bacteria in the environment. Moreover, the annotated genomes can enable the design of specific primers to trace the inoculum into the soil and provide insights into the molecular and genetic mechanisms of plant growth promotion and biocontrol activity. In the present work, the genome sequences of some members of beneficial microbial consortia that have previously been tested in greenhouse and field trials as promising biofertilizers for maize, tomato and wheat crops have been determined. Strains belong to well-known plant-growth-promoting bacterial genera such as Bacillus, Burkholderia, Pseudomonas and Rahnella. The genome size of strains ranged from 4.5 to 7.5 Mbp, carrying many genes spanning from 4402 to 6697, and a GC content of 0.04% to 3.3%. The annotation of the genomes revealed the presence of genes that are implicated in functions related to antagonism, pathogenesis and other secondary metabolites possibly involved in plant growth promotion and gene clusters for protection against oxidative damage, confirming the plant-growth-promoting (PGP) activity of selected strains. All the target genomes were found to possess at least 3000 different PGP traits, belonging to the categories of nitrogen acquisition, colonization for plant-derived substrate usage, quorum sensing response for biofilm formation and, to a lesser extent, bacterial fitness and root colonization. No genes putatively involved in pathogenesis were identified. Overall, our study suggests the safe application of selected strains as “plant probiotics” for sustainable agriculture. Full article
(This article belongs to the Special Issue Advances in Bacterial Genetics)
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<p>The difference in frequency occurrence of PGP traits (from PLaBAse) between the genomes presented in this work and the reference genome for each of them. A positive value represents an increase in the frequency occurrence of that PGP trait in the target genome, compared to the reference. A negative value represents a decrease in the frequency of occurrence of that PGP trait in the target genome, compared to the reference.</p>
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30 pages, 3535 KiB  
Review
Exploring Antimicrobial Compounds from Agri-Food Wastes for Sustainable Applications
by Mattia Di Maro, Luca Gargiulo, Giovanna Gomez d’Ayala and Donatella Duraccio
Int. J. Mol. Sci. 2024, 25(23), 13171; https://doi.org/10.3390/ijms252313171 - 7 Dec 2024
Viewed by 558
Abstract
Transforming agri-food wastes into valuable products is crucial due to their significant environmental impact, when discarded, including energy consumption, water use, and carbon emissions. This review aims to explore the current research on the recovery of bioactive molecules with antimicrobial properties from agri-food [...] Read more.
Transforming agri-food wastes into valuable products is crucial due to their significant environmental impact, when discarded, including energy consumption, water use, and carbon emissions. This review aims to explore the current research on the recovery of bioactive molecules with antimicrobial properties from agri-food waste and by-products, and discusses future opportunities for promoting a circular economy in its production and processing. Mainly, antibacterial molecules extracted from agri-food wastes are phenolic compounds, essential oils, and saponins. Their extraction and antimicrobial activity against a wide spectrum of bacteria is analyzed in depth. Also, their possible mechanisms of activity are described and classified based on their effect on bacteria, such as the (i) alteration of the cell membrane, (ii) inhibition of energy metabolism and DNA synthesis, and iii) disruption of quorum sensing and biofilm formation. These bioactive molecules have a wide range of possible applications ranging from cosmetics to food packaging. However, despite their potential, the amount of wastes transformed into valuable compounds is very low, due to the high costs relating to their extraction, technical challenges in managing supply chain complexity, limited infrastructure, policy and regulatory barriers, and public perception. For these reasons, further research is needed to develop cost-effective, scalable technologies for biomass valorization. Full article
(This article belongs to the Special Issue Bioactive Materials with Antimicrobial Properties: 2nd Edition)
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<p>The application green principles to valorize agricultural waste within a circular economy framework. Reproduced from [<a href="#B11-ijms-25-13171" class="html-bibr">11</a>].</p>
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<p>Some examples of antimicrobial tests carried out using biomolecules obtained from agri-food waste valorization. (<b>1</b>) Antimicrobial activity of four grape seed extracts (<b>A</b>–<b>D</b>) against <span class="html-italic">S. aureus</span> (zone 1, 0.50 mg/mL extract; zone 2, 0.25 mg/mL; zone 3, 0.10 mg/mL; zone 4, 0.05 mg/mL; zone 5, negative control) (reproduced from [<a href="#B60-ijms-25-13171" class="html-bibr">60</a>]). (<b>2</b>) Inhibition halos obtained for <span class="html-italic">C. perfringens</span>, <span class="html-italic">C. botulinum</span> and <span class="html-italic">C. difficile</span> in the screening test using two different extracts of saffron petals (SPE A and SPE B) (reproduced from [<a href="#B70-ijms-25-13171" class="html-bibr">70</a>]) and (<b>3</b>) (<b>a</b>) MIC of ‘Maria Bruvele’ extract against <span class="html-italic">C. albicans</span> by the two-fold serial broth microdilution method; (<b>b</b>) MBC of the same extract against <span class="html-italic">P. aeruginosa</span> and <span class="html-italic">C. albicans</span> (reproduced from [<a href="#B65-ijms-25-13171" class="html-bibr">65</a>]).</p>
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<p>Schematic diagram of antimicrobial mechanisms exerted by biomolecules extracted from waste biomass.</p>
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<p><span class="html-italic">B. cereus</span> morphology observed by TEM. (<b>A</b>) <span class="html-italic">B. cereus</span> treated with 1/2 MIC. (<b>B</b>) <span class="html-italic">B. cereus</span> treated with MIC. (<b>C</b>) <span class="html-italic">B. cereus</span> treated with MBC. (<b>D</b>) positive control (<span class="html-italic">Cefixime</span>). (<b>E</b>) negative control (untreated <span class="html-italic">B. cereus</span>). Reprinted with permission from Ref. [<a href="#B126-ijms-25-13171" class="html-bibr">126</a>]. Copyright 2020 by Elsevier. For more clarity, a scale bar has been added under each image.</p>
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<p>Circular bioeconomy model in food packaging: integrating renewable resources in biorefineries to produce recyclable, eco-friendly materials. Reproduced from [<a href="#B127-ijms-25-13171" class="html-bibr">127</a>].</p>
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17 pages, 2577 KiB  
Article
BDSF Analogues Inhibit Quorum Sensing-Regulated Biofilm Production in Xylella fastidiosa
by Conor Horgan, Clelia Baccari, Michelle O’Driscoll, Steven E. Lindow and Timothy P. O’Sullivan
Microorganisms 2024, 12(12), 2496; https://doi.org/10.3390/microorganisms12122496 - 4 Dec 2024
Viewed by 631
Abstract
Xylella fastidiosa is an aerobic, Gram-negative bacterium that is responsible for many plant diseases. The bacterium is the causal agent of Pierce’s disease in grapes and is also responsible for citrus variegated chlorosis, peach phony disease, olive quick decline syndrome and leaf scorches [...] Read more.
Xylella fastidiosa is an aerobic, Gram-negative bacterium that is responsible for many plant diseases. The bacterium is the causal agent of Pierce’s disease in grapes and is also responsible for citrus variegated chlorosis, peach phony disease, olive quick decline syndrome and leaf scorches of various species. The production of biofilm is intrinsically linked with persistence and transmission in X. fastidiosa. Biofilm formation is regulated by members of the Diffusible Signal Factor (DSF) quorum sensing signalling family which are comprised of a series of long chain cis-unsaturated fatty acids. This article describes the evaluation of a library of N-acyl sulfonamide bioisosteric analogues of BDSF, XfDSF1 and XfDSF2 for their ability to control biofilm production in X. fastidiosa. The compounds were screened against both the wild-type strain Temecula and an rpfF* mutant which can perceive but not produce XfDSF. Planktonic cell abundance was measured via OD600 while standard crystal violet assays were used to determine biofilm biomass. Several compounds were found to be effective biofilm inhibitors depending on the nature of the sulfonamide substituent. The findings reported here may provide future opportunities for biocontrol of this important plant pathogen. Full article
(This article belongs to the Special Issue Bacterial Communication)
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<p>Structures of DSF/BDSF and <span class="html-italic">Xf</span>DSF1/2 messenger molecules.</p>
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<p>Preparation of olefinic BDSF analogues.</p>
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<p>Preparation of aromatic BDSF analogues.</p>
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<p>Preparation of aromatic <span class="html-italic">Xf</span>DSF analogues.</p>
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<p><b>Optical density readings for wild-type strain Temecula.</b> OD<sub>595</sub> abundance of crystal violet retained in biofilm cells attached to glass culture tubes after addition of BDSF analogues (blue bars). OD<sub>600</sub> abundance of planktonic cells remaining in suspension after addition of BDSF analogues (yellow bars). The error bars represent the standard deviations of the means.</p>
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<p><b>Optical density readings for <span class="html-italic">rpfF*</span> mutant.</b> OD<sub>595</sub> abundance of crystal violet retained in biofilm cells attached to glass culture tubes after addition of BDSF analogues (blue bars). OD<sub>600</sub> abundance of planktonic cells remaining in suspension after addition of BDSF analogues (yellow bars). The error bars represent the standard deviations of the means.</p>
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<p><b>Ratio of the biofilm cells to planktonic cells from cultures of wild-type strain Temecula and <span class="html-italic">rpfF</span>* mutant.</b> Shown is the ratio of OD<sub>595</sub> reflecting the abundance of crystal violet retained in biofilm cells attached to glass culture tubes relative to the OD<sub>600</sub> of planktonic cells remaining in suspension after addition of DSF analogues to cultures of wild-type <span class="html-italic">X. fastdiosa</span> (blue bars) or an <span class="html-italic">rpfF*</span> mutant (yellow bars).</p>
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<p><b>Optical density readings of longer chain <span class="html-italic">Xf</span>DSF analogues for wild-type strain Temecula.</b> OD<sub>595</sub> abundance of crystal violet retained in biofilm cells attached to glass culture tubes after addition of <span class="html-italic">Xf</span>DSF analogues (blue bars). OD<sub>600</sub> abundance of planktonic cells remaining in suspension after addition of <span class="html-italic">Xf</span>DSF analogues (yellow bars). The error bars represent the standard deviations of the means.</p>
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<p>Major structure–activity relationships.</p>
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12 pages, 1535 KiB  
Article
Antibiofilm Activities of Multiple Halogenated Pyrimidines Against Staphylococcus aureus
by MinHwi Sim, Yong-Guy Kim, Jin-Hyung Lee and Jintae Lee
Int. J. Mol. Sci. 2024, 25(23), 12830; https://doi.org/10.3390/ijms252312830 - 28 Nov 2024
Viewed by 508
Abstract
Staphylococcus aureus, prevalent in hospital and community settings, forms biofilms that are highly resistant to antibiotics and immune responses, complicating treatment and contributing to chronic infections. These challenges underscore the need for novel treatments that target biofilm formation and effectively reduce bacterial [...] Read more.
Staphylococcus aureus, prevalent in hospital and community settings, forms biofilms that are highly resistant to antibiotics and immune responses, complicating treatment and contributing to chronic infections. These challenges underscore the need for novel treatments that target biofilm formation and effectively reduce bacterial virulence. This study investigates the antibiofilm and antimicrobial efficacy of novel halogenated pyrimidine derivatives against S. aureus, focusing on three compounds identified as potent biofilm inhibitors: 2,4-dichloro-5-fluoropyrimidine (24DC5FP), 5-bromo-2,4-dichloro-7H-pyrrolo[2,3-d]pyrimidine (24DC5BPP), and 2,4-dichloro-5-iodo-7H-pyrrolo[2,3-d]pyrimidine (24DC5IPP). The three active compounds are bacteriostatic. In particular, 24DC5FP at 5 µg/mL achieved a 95% reduction in hemolysis with a minimum inhibitory concentration (MIC) of 50 µg/mL. Interestingly, 24DC5FP increased cell size and produced wrinkled colonies. qRT-PCR analysis showed that 24DC5FP suppressed the gene expressions of agrA and RNAIII (quorum sensing regulator and effector), hla (α-hemolysin), nuc1 (nucleases nuc1), and saeR (S. aureus virulence regulator). These findings suggest that extensive halogenation enhances the antibiofilm and antivirulence activities of pyrimidine derivatives, offering a promising strategy for combatting S. aureus infections, including those resistant to conventional treatments. Full article
(This article belongs to the Collection Feature Papers in Molecular Microbiology)
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<p>The antibiofilm and antibacterial screening of various pyrimidine derivatives. Biofilm formation by <span class="html-italic">S. aureus</span> with pyrimidine derivatives at 50 µg/mL in 96-well polystyrene plates after 24 h culture. Asterisks (*) indicate significant differences in biofilm formation (<span class="html-italic">p</span> &lt; 0.05), and error bars display the standard deviation. The listed numbers correspond to the chemical names and their respective structures.</p>
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<p>Effects of dichloro-pyrimidines on <span class="html-italic">S. aureus</span> planktonic cell growth. Cell growth in the presence of 24DC5FP (<b>A</b>), 24DC5BPP (<b>B</b>), and 24DC5IPP (<b>C</b>). Colony-forming unit (CFU) measurement with 24DC5FP (<b>D</b>), 24DC5BPP (<b>E</b>), and 24DC5IPP (<b>F</b>).</p>
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<p><span class="html-italic">S. aureus</span> biofilm inhibition by dichloro-pyrimidines. Dose-dependent inhibition by 24DC5FP (<b>A</b>), 24DC5BPP (<b>B</b>), and 24DC5IPP (<b>C</b>). 2D visualizations depict <span class="html-italic">S. aureus</span> biofilms treated with multi-halogenated pyrimidines (<b>D</b>). SEM analysis shows <span class="html-italic">S. aureus</span> biofilms exposed to multi-halogenated pyrimidines (<b>E</b>). Scale bars in red and yellow indicate measurements of 10 µm and 2 µm, respectively. * <span class="html-italic">p</span> &lt; 0.05 vs. untreated controls (None).</p>
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<p>Impact of halogenated pyrimidines on <span class="html-italic">S. aureus</span> virulence factors and gene expression. Slime production on the Congo red agar plates (<b>A</b>), colony morphology on BHI agar plate (<b>B</b>), staphyloxanthin production (<b>C</b>), hemolytic activity (<b>D</b>–<b>F</b>), and gene expression by 24DC5FP (50 µg/mL) (<b>G</b>). * <span class="html-italic">p</span> &lt; 0.05 vs. untreated controls (None).</p>
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23 pages, 2968 KiB  
Review
Understanding Quorum-Sensing and Biofilm Forming in Anaerobic Bacterial Communities
by Kinga Markowska, Ksenia Szymanek-Majchrzak, Hanna Pituch and Anna Majewska
Int. J. Mol. Sci. 2024, 25(23), 12808; https://doi.org/10.3390/ijms252312808 - 28 Nov 2024
Viewed by 880
Abstract
Biofilms are complex, highly organized structures formed by microorganisms, with functional cell arrangements that allow for intricate communication. Severe clinical challenges occur when anaerobic bacterial species establish long-lasting infections, especially those involving biofilms. These infections can occur in device-related settings (e.g., implants) as [...] Read more.
Biofilms are complex, highly organized structures formed by microorganisms, with functional cell arrangements that allow for intricate communication. Severe clinical challenges occur when anaerobic bacterial species establish long-lasting infections, especially those involving biofilms. These infections can occur in device-related settings (e.g., implants) as well as in non-device-related conditions (e.g., inflammatory bowel disease). Within biofilms, bacterial cells communicate by producing and detecting extracellular signals, particularly through specific small signaling molecules known as autoinducers. These quorum-sensing signals are crucial in all steps of biofilm formation: initial adhesion, maturation, and dispersion, triggering gene expression that coordinates bacterial virulence factors, stimulates immune responses in host tissues, and contributes to antibiotic resistance development. Within anaerobic biofilms, bacteria communicate via quorum-sensing molecules such as N-Acyl homoserine lactones (AHLs), autoinducer-2 (AI-2), and antimicrobial molecules (autoinducing peptides, AIPs). To effectively combat pathogenic biofilms, understanding biofilm formation mechanisms and bacterial interactions is essential. The strategy to disrupt quorum sensing, termed quorum quenching, involves methods like inactivating or enzymatically degrading signaling molecules, competing with signaling molecules for binding sites, or noncompetitively binding to receptors, and blocking signal transduction pathways. In this review, we comprehensively analyzed the fundamental molecular mechanisms of quorum sensing in biofilms formed by anaerobic bacteria. We also highlight quorum quenching as a promising strategy to manage bacterial infections associated with anaerobic bacterial biofilms. Full article
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<p>Flow diagram of the literature search strategy.</p>
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<p>Location of infections associated with biofilm formed by anaerobic bacteria.</p>
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<p>Schematic of the five main stages of biofilm formation.</p>
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<p>Chemical structure of the signaling molecules: type 1 (AI-1, AHL) and type 2 (AI-2) (found in <span class="html-italic">Vibrio harveyi</span>) [<a href="#B49-ijms-25-12808" class="html-bibr">49</a>].</p>
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<p>Schematic diagram of AHL signaling molecules regulating the QS system through the LuxI/LuxR pathway.</p>
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<p>Schematic diagram of AI-2 signaling molecules regulating the QS system.</p>
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<p>Genetic structure and organization of AIP-mediated signaling Agr system in <span class="html-italic">S. aureus</span>, <span class="html-italic">C. difficile</span>, and <span class="html-italic">Clostridium</span> spp.</p>
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<p>The molecular organization and co-transduction cascade of AgrBD and VirS/R in <span class="html-italic">C. perfringens</span>.</p>
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<p>AHL-degrading enzymes as an AHL-mediated inhibitor.</p>
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17 pages, 5839 KiB  
Article
Anti-Bacterial and Anti-Biofilm Activities of Essential Oil from Citrus reticulata Blanco cv. Tankan Peel Against Listeria monocytogenes
by Jinming Peng, Guangwei Chen, Shaoxin Guo, Ziyuan Lin, Yue Zeng, Jie Ren, Qin Wang, Wenhua Yang, Yongqian Liang and Jun Li
Foods 2024, 13(23), 3841; https://doi.org/10.3390/foods13233841 - 28 Nov 2024
Viewed by 548
Abstract
In recent years, plant essential oils have been confirmed as natural inhibitors of foodborne pathogens. Citrus reticulata Blanco cv. Tankan peel essential oil (CPEO) showed anti-Listeria monocytogenes (LM) activities, and this study investigated the associated mechanisms by using high-resolution electron microscope, fluorescence [...] Read more.
In recent years, plant essential oils have been confirmed as natural inhibitors of foodborne pathogens. Citrus reticulata Blanco cv. Tankan peel essential oil (CPEO) showed anti-Listeria monocytogenes (LM) activities, and this study investigated the associated mechanisms by using high-resolution electron microscope, fluorescence spectrometer, flow cytometer, potentiometer, and transcriptome sequencing. The results showed that CPEO restrained LM growth at a minimum inhibitory concentration of 2% (v/v). The anti-LM abilities of CPEO were achieved by disrupting the permeability of the cell wall, damaging the permeability, fluidity, and integrity of the cell membrane, disturbing the membrane hydrophobic core, and destroying the membrane protein conformation. Moreover, CPEO could significantly inhibit the LM aggregation from forming biofilm by reducing the extracellular polymeric substances’ (protein, polysaccharide, and eDNA) production and bacterial surface charge numbers. The RNA sequencing data indicated that LM genes involved in cell wall and membrane biosynthesis, DNA replication and repair, quorum sensing and two-component systems were expressed differently after CPEO treatment. These results suggested that CPEO could be used as a novel anti-LM agent and green preservative in the food sector. Further studies are needed to verify the anti-LM activities of CPEO in real food. Full article
(This article belongs to the Section Food Quality and Safety)
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<p>Minimum inhibitory concentration of <span class="html-italic">Citrus reticulata</span> Blanco cv. Tankan peel essential oil (CPEO) on LM (<b>A</b>). Growth curvatures of LM with and without exposure to CPEO (<b>B</b>). Columns marked with different letters imply that the differences are statistically significant (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>SEM micrographs of untreated LM (<b>A</b>) and <span class="html-italic">Citrus reticulata</span> Blanco cv. Tankan peel essential oil (CPEO)-treated LM (<b>B</b>). TEM images of untreated LM (<b>C</b>) and CPEO-treated LM (<b>D</b>).</p>
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<p>Alkaline phosphatase (AKP) (<b>A</b>) and protein (<b>B</b>) leakage from LM treated with or without <span class="html-italic">Citrus reticulata</span> Blanco cv. Tankan peel essential oil (CPEO). Cell membrane fluidity (<b>C</b>) and integrity (<b>D</b>) of LM treated with or without CPEO. Columns marked with different letters imply that the differences are statistically significant (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Exploring the effects of <span class="html-italic">Citrus reticulata</span> Blanco cv. Tankan peel essential oil (CPEO) on the cell membrane structure by using in vitro POPG liposome. Effects of CPEO on fluorescent spectrum of liposome tagged with various probes including NBD-PE (<b>A</b>), TMA-DPH (<b>B</b>), and DPH (<b>C</b>). The fluorescence quenching of various probes after CPEO treatment (<b>D</b>). Columns marked with different letters imply that the differences are statistically significant (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>The membrane protein conformation of LM treated with or without <span class="html-italic">Citrus reticulata</span> Blanco cv. Tankan peel essential oil (CPEO). The variations in the fluorescent spectrum of the particular amino acids include Tyr (<b>A</b>), Trp (<b>B</b>), and Phe (<b>C</b>) in the membrane protein.</p>
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<p>Biofilm formation curves of LM treated with or without <span class="html-italic">Citrus reticulata</span> Blanco cv. Tankan peel essential oil (CPEO) (<b>A</b>). Aggregation ability of LM treated with or without CPEO (<b>B</b>). Influences of CPEO on EPS (protein, PRO; polysaccharide, POL; eDNA) production of LM biofilm (<b>C</b>). Effects of CPEO on the surface charge of LM (<b>D</b>). Columns marked with different letters imply that differences are statistically significant (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Transcriptomic profiles of <span class="html-italic">Citrus reticulata</span> Blanco cv. Tankan peel essential oil (CPEO)-treated LM in comparison to the control group (CON). (<b>A</b>) Numbers of up-regulated and down-regulated differentially expressed genes (DEGs). (<b>B</b>) Volcano plot analysis of DEGs in LM. (<b>C</b>) GO enrichment analysis categorizing DEGs into molecular function (MF), biological process (BP), and cellular component (CC). (<b>D</b>) KEGG enrichment bubble chart of DEGs. The larger the bubble, the greater the quantity, and the redder the bubble, the lower the P-value/Q-value ratio.</p>
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<p>Heatmaps depicting representative DEGs related to cell wall synthesis and cell membrane integrity in LM, including peptidoglycan biosynthesis, amino sugar and nucleotide sugar metabolism, sucrose metabolism, glycerolipid metabolism and glycerophospholipid metabolism. Red denotes gene up-regulation while blue denotes gene down-regulation; the darker the color, the greater the change.</p>
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<p>Heatmaps depicting the representative DEGs related to DNA replication and repair in LM. Red denotes gene up-regulation while blue denotes gene down-regulation; the darker the color, the greater the change.</p>
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<p>Heatmaps depicting the representative DEGs related to the quorum sensing system and two-component system in LM. Red denotes gene up-regulation while blue denotes gene down-regulation; the darker the color, the greater the change.</p>
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13 pages, 932 KiB  
Article
Metabolomic Profiling and Functional Characterization of Biochar from Vine Pruning Residues for Applications in Animal Feed
by Serena Reggi, Sara Frazzini, Maria Claudia Torresani, Marianna Guagliano, Cinzia Cristiani, Salvatore Roberto Pilu, Martina Ghidoli and Luciana Rossi
Animals 2024, 14(23), 3440; https://doi.org/10.3390/ani14233440 - 28 Nov 2024
Viewed by 593
Abstract
Biochar has gained interest as a feed ingredient in livestock nutrition due to its functional properties, circularity, potential to reduce environmental impact, and alignment with sustainable agro-zootechnical practices. The in vivo effects of biochar are closely tied to its physical characteristics, which vary [...] Read more.
Biochar has gained interest as a feed ingredient in livestock nutrition due to its functional properties, circularity, potential to reduce environmental impact, and alignment with sustainable agro-zootechnical practices. The in vivo effects of biochar are closely tied to its physical characteristics, which vary depending on the biomass used as feedstock and the production process. This variability can result in heterogeneity among biochar types used in animal nutrition, leading to inconsistent outcomes. The aim of this study was to characterize the metabolomic and functional properties of an aqueous biochar extract from vine pruning waste, in order to predict its potential in vivo effects as a functional feed ingredient. A metabolomic analysis of the biochar extracts was conducted using quadrupole time-f-light (QQTOF) high-performance liquid chromatography tandem mass spectrometry (HPLC MS/MS). Antimicrobial activity against E. coli F18+ and E. coli F4+ was assessed using standard growth inhibition assays, while quorum sensing in E. coli exposed to biochar extracts was evaluated using real-time PCR. Prebiotic activity was assessed by exposing selected Lactobacillus strains to the biochar extract, monitoring growth patterns to determine species-specific responses. The metabolomic profile revealed several distinct molecular classes, including multiple peaks for phenolic compounds. The extract significantly inhibited the growth of both E. coli pathotypes, reducing growth by 29% and 16% for the F4+ and F18+, respectively (p < 0.001). The relative expression of the genes involved in quorum sensing (MotA, FliA for biofilm formation, and FtsE, HflX for cell division) indicated that the observed inhibitory effects likely resulted from interference with flagellar synthesis, motility, and reduced cell division. The biochar extract also showed species-specific prebiotic potential. In conclusion, biochar derived from vine pruning waste represents a valuable feed ingredient with functional properties that may help to reduce antibiotic use in livestock production. Full article
(This article belongs to the Section Animal System and Management)
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<p>Assessment of growth inhibition by the VB extract against <span class="html-italic">E. coli</span>. (<b>a</b>) Growth inhibition of <span class="html-italic">E. coli</span> F4+. (<b>b</b>) Growth inhibition of <span class="html-italic">E. coli</span> F18+. Data are shown as means and standard deviations. Different superscript letters indicate significant differences at <span class="html-italic">p</span> &lt; 0.05 among different concentrations within the same time point.</p>
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<p>Relative expression of FliA, MotA, FtsE, and Hflx genes. (<b>a</b>) Relative expression for <span class="html-italic">E. coli</span> F18+ at 3 h of coculture with 100 μL/mL of the VB extract; (<b>b</b>) Relative expression for <span class="html-italic">E. coli</span> F4+ at 3 h of coculture with 100 μL/mL of the VB extract. * indicates <span class="html-italic">p</span> ≤ 0.05; ** indicates <span class="html-italic">p</span> ≤ 0.01; **** indicates <span class="html-italic">p</span> ≤ 0.0001.</p>
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<p>(<b>a</b>) <span class="html-italic">L. reuteri</span> growth in the presence of 0, 50, and 100 μL/mL of VB biochar over time; (<b>b</b>) <span class="html-italic">L. plantarum</span> growth in the presence of 0, 50, and 100 μL/mL of VB biochar over time. Different superscript letters indicate significant differences at <span class="html-italic">p</span> &lt; 0.05 among different concentrations within the same time point.</p>
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22 pages, 1059 KiB  
Review
Infective Endocarditis by Biofilm-Producing Methicillin-Resistant Staphylococcus aureus—Pathogenesis, Diagnosis, and Management
by Ashlesha Kaushik, Helen Kest, Mangla Sood, Corey Thieman, Bryan W. Steussy, Michael Padomek and Sandeep Gupta
Antibiotics 2024, 13(12), 1132; https://doi.org/10.3390/antibiotics13121132 - 25 Nov 2024
Viewed by 931
Abstract
Infective endocarditis (IE) is a life-threatening condition with increasing global incidence, primarily caused by Staphylococcus aureus, especially methicillin-resistant strains (MRSA). Biofilm formation by S. aureus is a critical factor in pathogenesis, contributing to antimicrobial resistance and complicating the treatment of infections involving [...] Read more.
Infective endocarditis (IE) is a life-threatening condition with increasing global incidence, primarily caused by Staphylococcus aureus, especially methicillin-resistant strains (MRSA). Biofilm formation by S. aureus is a critical factor in pathogenesis, contributing to antimicrobial resistance and complicating the treatment of infections involving prosthetic valves and cardiovascular devices. Biofilms provide a protective matrix for MRSA, shielding it from antibiotics and host immune defenses, leading to persistent infections and increased complications, particularly in cases involving prosthetic materials. Clinical manifestations range from acute to chronic presentations, with complications such as heart failure, embolic events, and neurological deficits. Diagnosis relies on the Modified Duke Criteria, which have been updated to incorporate modern cardiovascular interventions and advanced imaging techniques, such as PET/CT (positron emission tomography, computed tomography), to improve the detection of biofilm-associated infections. Management of MRSA-associated IE requires prolonged antimicrobial therapy, often with vancomycin or daptomycin, needing a combination of antimicrobials in the setting of prosthetic materials and frequently necessitates surgical intervention to remove infected prosthetic material or repair damaged heart valves. Anticoagulation remains controversial, with novel therapies like dabigatran showing potential benefits in reducing thrombus formation. Despite progress in treatment, biofilm-associated resistance poses ongoing challenges. Emerging therapeutic strategies, including combination antimicrobial regimens, bacteriophage therapy, antimicrobial peptides (AMPs), quorum sensing inhibitors (QSIs), hyperbaric oxygen therapy, and nanoparticle-based drug delivery systems, offer promising approaches to overcoming biofilm-related resistance and improving patient outcomes. This review provides an overview of the pathogenesis, current management guidelines, and future directions for treating biofilm-related MRSA IE. Full article
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<p>Stages in biofilm formation in MRSA IE. Stages are represented in orange boxes. Facilitating factors for each stage are shown in yellow boxes.</p>
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<p>Schematic representation of treatments for native valve and prosthetic valve MRSA IE [<a href="#B1-antibiotics-13-01132" class="html-bibr">1</a>,<a href="#B2-antibiotics-13-01132" class="html-bibr">2</a>].</p>
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<p>Schematic representation of treatments for native valve and prosthetic valve MRSA IE [<a href="#B1-antibiotics-13-01132" class="html-bibr">1</a>,<a href="#B2-antibiotics-13-01132" class="html-bibr">2</a>].</p>
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15 pages, 1852 KiB  
Article
Survival Strategies of Staphylococcus aureus: Adaptive Regulation of the Anti-Restriction Gene ardA-H1 Under Stress Conditions
by Flavia Costa Carvalho de Andrade, Mariana Fernandes Carvalho and Agnes Marie Sá Figueiredo
Antibiotics 2024, 13(12), 1131; https://doi.org/10.3390/antibiotics13121131 - 25 Nov 2024
Viewed by 779
Abstract
Background/Objective: The anti-restriction protein ArdA-H1, found in multiresistant Staphylococcus aureus (MRSA) strains from the ST239-SCCmecIII lineage, inhibits restriction–modification systems, fostering horizontal gene transfer (HGT) and supporting genetic adaptability and resistance. This study investigates the regulatory mechanisms controlling ardA-H1 expression [...] Read more.
Background/Objective: The anti-restriction protein ArdA-H1, found in multiresistant Staphylococcus aureus (MRSA) strains from the ST239-SCCmecIII lineage, inhibits restriction–modification systems, fostering horizontal gene transfer (HGT) and supporting genetic adaptability and resistance. This study investigates the regulatory mechanisms controlling ardA-H1 expression in S. aureus under various stress conditions, including acidic pH, iron limitation, and vancomycin exposure, and explores the roles of the Agr quorum sensing system. Methods: The expression of ardA-H1 was analyzed in S. aureus strains exposed to environmental stressors using real-time quantitative reverse transcription PCR. Comparisons were made between Agr-functional and Agr-deficient strains. In addition, Agr inhibition was achieved using a heterologous Agr autoinducing peptide. Results: The Agr system upregulated ardA-H1 expression in acidic and iron-limited conditions. However, vancomycin induced ardA-H1 activation specifically in the Agr-deficient strain GV69, indicating that an alternative regulatory pathway controls ardA-H1 expression in the absence of agr. The vancomycin response in GV69 suggests that diminished quorum sensing may offer a survival advantage by promoting persistence and HGT-related adaptability. Conclusion: Overall, our findings provide new insights into the intricate relationships between quorum-sensing, stress responses, bacterial virulence, and genetic plasticity, enhancing our understanding of S. aureus adaptability in challenging environments. Full article
(This article belongs to the Special Issue Antimicrobial Resistance Genes: Spread and Evolution)
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<p>Relative quantitation (ΔΔCT) of <span class="html-italic">ardA</span>-H1 transcripts in strain BMB9393 during exponential and stationary growth phases. Individual data points from different replicates are shown in blue, green, and violet. For statistical calculation, data represent the mean of three independent biological experiments, each with three technical replicates (<span class="html-italic">n</span> = 3). A paired Student’s <span class="html-italic">t</span>-test was used to calculate <span class="html-italic">p</span>-value, with significance indicated as **** for <span class="html-italic">p</span> &lt; 0.0001. The corresponding Bayes factor of 1.146 supports the alternative hypothesis over the null.</p>
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<p>Relative quantitation (ΔΔCT) of <span class="html-italic">ardA</span>-H1 and <span class="html-italic">agr</span>-RNAIII transcripts. Expression levels of <span class="html-italic">ardA</span>-H1 (<b>a</b>) and <span class="html-italic">agr</span>-RNAIII (<b>b</b>) in strain BMB9393 treated with conditioned supernatant (CS), with (CS NY19335) and without (CS NYm19335) the heterologous type II Agr autoinducer peptide (AIP). The data used for statistical calculation represent the mean of three independent biological experiments, each with three technical replicates <span class="html-italic">(n</span> = 3). A paired Student’s <span class="html-italic">t</span>-test was used to calculate the <span class="html-italic">p</span>-value, with significance indicated as (<b>a</b>) *** for <span class="html-italic">p =</span> 0.0009 and (<b>b</b>) *** for <span class="html-italic">p =</span> 0.0002. The corresponding Bayes factors of 11.782 for <span class="html-italic">ardA</span>-H1 and 2.690 for <span class="html-italic">agr</span>-RNAIII support the alternative hypothesis over the null. Panels (<b>c</b>,<b>d</b>) show the quantification of <span class="html-italic">ardA</span>-H1 and <span class="html-italic">agr</span>-RNAIII transcripts, respectively, in strains BMB9393 and GV69. The data used for statistical calculation represent the mean of three independent biological experiments, each with three technical replicates (<span class="html-italic">n</span> = 3). An unpaired Student’s <span class="html-italic">t</span>-test was used to calculate <span class="html-italic">p</span>-value, with significance indicated as (<b>c</b>) ** for <span class="html-italic">p</span> = 0.0016 and (<b>d</b>) *** for <span class="html-italic">p</span> = 0.0001. The corresponding Bayes factor of 1.046 for <span class="html-italic">ardA</span>-H1 and 1.154 for <span class="html-italic">agr</span>-RNAIII, again supports the alternative hypothesis over the null. Individual data points from different replicates are shown in blue, green, and violet.</p>
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<p>Relative quantitation (ΔΔCT) of <span class="html-italic">ardA</span>-H1 and <span class="html-italic">agr</span>-RNAIII transcripts. Expression levels of <span class="html-italic">ardA</span>-H1 (<b>a</b>) and <span class="html-italic">agr</span>-RNAIII (<b>b</b>) in strain BMB9393 treated with conditioned supernatant (CS), with (CS NY19335) and without (CS NYm19335) the heterologous type II Agr autoinducer peptide (AIP). The data used for statistical calculation represent the mean of three independent biological experiments, each with three technical replicates <span class="html-italic">(n</span> = 3). A paired Student’s <span class="html-italic">t</span>-test was used to calculate the <span class="html-italic">p</span>-value, with significance indicated as (<b>a</b>) *** for <span class="html-italic">p =</span> 0.0009 and (<b>b</b>) *** for <span class="html-italic">p =</span> 0.0002. The corresponding Bayes factors of 11.782 for <span class="html-italic">ardA</span>-H1 and 2.690 for <span class="html-italic">agr</span>-RNAIII support the alternative hypothesis over the null. Panels (<b>c</b>,<b>d</b>) show the quantification of <span class="html-italic">ardA</span>-H1 and <span class="html-italic">agr</span>-RNAIII transcripts, respectively, in strains BMB9393 and GV69. The data used for statistical calculation represent the mean of three independent biological experiments, each with three technical replicates (<span class="html-italic">n</span> = 3). An unpaired Student’s <span class="html-italic">t</span>-test was used to calculate <span class="html-italic">p</span>-value, with significance indicated as (<b>c</b>) ** for <span class="html-italic">p</span> = 0.0016 and (<b>d</b>) *** for <span class="html-italic">p</span> = 0.0001. The corresponding Bayes factor of 1.046 for <span class="html-italic">ardA</span>-H1 and 1.154 for <span class="html-italic">agr</span>-RNAIII, again supports the alternative hypothesis over the null. Individual data points from different replicates are shown in blue, green, and violet.</p>
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<p>Relative quantitation (ΔΔCT) of <span class="html-italic">ardA</span>-H1 transcripts under acidic and temperature stresses. Panels (<b>a</b>,<b>b</b>) show strain BMB9393 and GV69, respectively, grown at pH 5.0 and pH 7.0. The data used for statistical analysis represent the mean of three independent biological experiments, each with three technical replicates (<span class="html-italic">n</span> = 3). A paired Student’s <span class="html-italic">t</span>-test was used to calculate the <span class="html-italic">p</span>-value, with significance indicated as (<b>a</b>) * for <span class="html-italic">p</span> = 0.0112 and (<b>b</b>) * for <span class="html-italic">p</span> = 0.0124. The corresponding Bayes’s factors were 1.055 for BMB9393 and 14.565 for GV69, supporting the alternative hypothesis over the null. Panels (<b>c</b>,<b>d</b>) display strains BMB9393 and GV69 grown at 37 °C and 40 °C, respectively. The data used for statistical analysis represent the mean of three independent biological experiments, each with three technical replicates <span class="html-italic">(n</span> = 3). A paired Student’s <span class="html-italic">t</span>-test was used to calculate <span class="html-italic">p</span>-value, indicated as (<b>c</b>) ** for <span class="html-italic">p</span> = 0.0036 and (<b>d</b>) ** for <span class="html-italic">p</span> = 0.0023. The corresponding Bayes factors were 6.731 for BMB9393 and 8.332 for GV69, further supporting the alternative hypothesis over the null. Individual data points from different replicates are represented in blue, green, and violet.</p>
Full article ">Figure 3 Cont.
<p>Relative quantitation (ΔΔCT) of <span class="html-italic">ardA</span>-H1 transcripts under acidic and temperature stresses. Panels (<b>a</b>,<b>b</b>) show strain BMB9393 and GV69, respectively, grown at pH 5.0 and pH 7.0. The data used for statistical analysis represent the mean of three independent biological experiments, each with three technical replicates (<span class="html-italic">n</span> = 3). A paired Student’s <span class="html-italic">t</span>-test was used to calculate the <span class="html-italic">p</span>-value, with significance indicated as (<b>a</b>) * for <span class="html-italic">p</span> = 0.0112 and (<b>b</b>) * for <span class="html-italic">p</span> = 0.0124. The corresponding Bayes’s factors were 1.055 for BMB9393 and 14.565 for GV69, supporting the alternative hypothesis over the null. Panels (<b>c</b>,<b>d</b>) display strains BMB9393 and GV69 grown at 37 °C and 40 °C, respectively. The data used for statistical analysis represent the mean of three independent biological experiments, each with three technical replicates <span class="html-italic">(n</span> = 3). A paired Student’s <span class="html-italic">t</span>-test was used to calculate <span class="html-italic">p</span>-value, indicated as (<b>c</b>) ** for <span class="html-italic">p</span> = 0.0036 and (<b>d</b>) ** for <span class="html-italic">p</span> = 0.0023. The corresponding Bayes factors were 6.731 for BMB9393 and 8.332 for GV69, further supporting the alternative hypothesis over the null. Individual data points from different replicates are represented in blue, green, and violet.</p>
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<p>Iron depletion stress. Panels (<b>a</b>,<b>b</b>) show the strains BMB9393 and GV69, respectively, grown in tryptic soy agar (TSA) supplemented or not with 0.5 mM 2,2-dipyridyl. Individual data points from different replicates are represented in blue, green, and violet. The data used for statistical analysis represent the mean of three independent biological experiments, each with three technical replicates (<span class="html-italic">n</span> = 3). A paired Student’s <span class="html-italic">t</span>-test was used to calculate the <span class="html-italic">p</span>-value, with significance indicated as (<b>a</b>) ** for <span class="html-italic">p</span> = 0.0061 and (<b>b</b>) ** for <span class="html-italic">p</span> = 0.0031. The corresponding Bayes factors were 1.071 for BMB9393 and 6.696 for GV69, supporting the alternative hypothesis over the null.</p>
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<p>Effect of biofilm growth and exposure to 1/4 MIC of vancomycin on <span class="html-italic">ardA</span>-H1 expression. Panels (<b>a</b>,<b>b</b>) show the expression in BMB9393 and GV69, respectively, under biofilm and planktonic growth conditions. The data used for statistical analysis represent the mean of three independent biological experiments, each with three technical replicates (<span class="html-italic">n</span> = 3). A paired Student’s <span class="html-italic">t</span>-test was used to calculate <span class="html-italic">p</span>-value, with significance indicated as (<b>a</b>) ** for <span class="html-italic">p</span> = 0.0058 and (<b>b</b>) * for <span class="html-italic">p</span> = 0.0127. The corresponding Bayes factors were 1.010 for BMB9393 and 1.016 for GV69, supporting the alternative hypothesis over the null. Panels (<b>c</b>,<b>d</b>) display <span class="html-italic">ardA</span>-H1 expression in BMB9393 and GV69, respectively, under treatment with 1/4 MIC vancomycin. The data represent the mean of three independent biological experiments, each with three technical replicates (<span class="html-italic">n</span> = 3). A paired Student’s <span class="html-italic">t</span>-test was used to calculate the <span class="html-italic">p</span>-value, with significance indicated as (<b>c</b>,<b>d</b>) **** for <span class="html-italic">p</span> &lt; 0.0001. The corresponding Bayes factors were 1.046 for BMB9393 and 1.472 for GV69, further supporting the alternative hypothesis over the null. Individual data points from different replicates are represented in blue, green, and violet.</p>
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25 pages, 1067 KiB  
Review
Efficacy of Probiotics in Reducing Pathogenic Potential of Infectious Agents
by Poonam Vinayamohan, Divya Joseph, Leya Susan Viju, Sangeetha Ananda Baskaran and Kumar Venkitanarayanan
Fermentation 2024, 10(12), 599; https://doi.org/10.3390/fermentation10120599 - 24 Nov 2024
Viewed by 562
Abstract
Probiotics exhibit significant antivirulence properties that are instrumental in mitigating infectious agents not only within the gastrointestinal tract but also in other parts of the body, including respiratory and urogenital systems. These live microorganisms, beneficial to health when administered in appropriate quantities, operate [...] Read more.
Probiotics exhibit significant antivirulence properties that are instrumental in mitigating infectious agents not only within the gastrointestinal tract but also in other parts of the body, including respiratory and urogenital systems. These live microorganisms, beneficial to health when administered in appropriate quantities, operate through several key mechanisms to reduce the pathogenic potential of bacteria, viruses, and fungi. Probiotics effectively reduce colonization and infection severity by enhancing the host’s immune response and directly antagonizing pathogens. One of the major modes of action includes the disruption of quorum sensing pathways, which are essential for bacterial communication and the regulation of virulence factors. Additionally, probiotics compete with pathogens for adhesion sites on host tissues, effectively blocking the establishment and proliferation of infections within a host. This multifaceted interference with pathogen mechanisms highlights the therapeutic potential of probiotics in controlling infectious diseases and enhancing host resilience. This review provides a detailed analysis of these mechanisms, underscoring the potential of probiotics for therapeutic applications to enhance public health. Full article
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<p>Major mechanisms of action of probiotics. Created with Biorender.com.</p>
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16 pages, 2974 KiB  
Article
PA-Win2: In Silico-Based Discovery of a Novel Peptide with Dual Antibacterial and Anti-Biofilm Activity
by Jin Wook Oh, Min Kyoung Shin, Hye-Ran Park, Sejun Kim, Byungjo Lee, Jung Sun Yoo, Won-Jae Chi and Jung-Suk Sung
Antibiotics 2024, 13(12), 1113; https://doi.org/10.3390/antibiotics13121113 - 21 Nov 2024
Viewed by 592
Abstract
Background: The emergence and prevalence of antibiotic-resistant bacteria (ARBs) have become a serious global threat, as the morbidity and mortality associated with ARB infections are continuously rising. The activation of quorum sensing (QS) genes can promote biofilm formation, which contributes to the acquisition [...] Read more.
Background: The emergence and prevalence of antibiotic-resistant bacteria (ARBs) have become a serious global threat, as the morbidity and mortality associated with ARB infections are continuously rising. The activation of quorum sensing (QS) genes can promote biofilm formation, which contributes to the acquisition of drug resistance and increases virulence. Therefore, there is an urgent need to develop new antimicrobial agents to control ARB and prevent further development. Antimicrobial peptides (AMPs) are naturally occurring defense molecules in organisms known to suppress pathogens through a broad range of antimicrobial mechanisms. Methods: In this study, we utilized a previously developed deep-learning model to identify AMP candidates from the venom gland transcriptome of the spider Pardosa astrigera, followed by experimental validation. Results: PA-Win2 was among the top-scoring predicted peptides and was selected based on physiochemical features. Subsequent experimental validation demonstrated that PA-Win2 inhibits the growth of Bacillus subtilis, Escherichia coli, Staphylococcus aureus, Staphylococcus epidermidis, Pseudomonas aeruginosa, and multidrug-resistant P. aeruginosa (MRPA) strain CCARM 2095. The peptide exhibited strong bactericidal activity against P. aeruginosa, and MRPA CCARM 2095 through the depolarization of bacterial cytoplasmic membranes and alteration of gene expression associated with bacterial survival. In addition, PA-Win2 effectively inhibited biofilm formation and degraded pre-formed biofilms of P. aeruginosa. The gene expression study showed that the peptide treatment led to the downregulation of QS genes in the Las, Pqs, and Rhl systems. Conclusions: These findings suggest PA-Win2 as a promising drug candidate against ARB and demonstrate the potential of in silico methods in discovering functional peptides from biological data. Full article
(This article belongs to the Special Issue Antimicrobial Activity of Bioactive Peptides and Their Derivatives)
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Figure 1
<p>Structural analysis of PA-Win2. Structural modeling showed (<b>A</b>) the secondary structure and (<b>B</b>) the molecular surface of the peptide. (<b>C</b>) The amino acid configuration of PA-Win2 within the α-helical structure was presented.</p>
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<p>Evaluation of cytotoxicity in human normal cell lines upon PA-Win2 treatment. To assess the cytotoxicity of PA-Win2, various concentrations of the peptide were applied to human cell lines (<b>A</b>) HaCaT, (<b>B</b>) ADMSC, and (<b>C</b>) HDFα. While no significant cytotoxicity was observed in HaCaT cells, concentrations above 64 μg/mL significantly decreased cell viability in ADMSC and HDFα cells. ** <span class="html-italic">p</span> &lt; 0.01 and *** <span class="html-italic">p</span> &lt; 0.001 compared with control group. Con: control.</p>
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<p>The bactericidal efficacy of PA-Win2 was evaluated using time-kill curve assays. The bactericidal effect of PA-Win2 was assessed against (<b>A</b>) <span class="html-italic">Bacillus subtilis</span>, (<b>B</b>) <span class="html-italic">Escherichia coli</span>, (<b>C</b>) <span class="html-italic">Pseudomonas aeruginosa</span>, and (<b>D</b>) MRPA CCARM 2095 using time-kill analysis. Bacterial strains were treated with 1× minimum bactericidal concentration for 6 h. Viable bacterial cells were measured every hour, where complete eradication was achieved across all strains within 4 h.</p>
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<p>Bacterial cytoplasmic membrane disruption by PA-Win2 treatment. Membrane depolarization was assessed using 3,3′-dipropylthiadicarbocyanine iodide (DiSC<sub>3</sub>(5)) dye following treatment with PA-Win2. As a positive control, 0.5% sodium dodecyl sulfate (SDS) was used to cause complete bacterial membrane disruption. The effects of peptide or 0.5% SDS are presented as an arbitrary fluorescent intensity. PA-Win2 treatment induced a rapid release of DiSC<sub>3</sub>(5) in (<b>A</b>) <span class="html-italic">B</span>. <span class="html-italic">subtilis</span>, (<b>B</b>) <span class="html-italic">E</span>. <span class="html-italic">coli</span>, (<b>C</b>) <span class="html-italic">P</span>. <span class="html-italic">aeruginosa</span>, and (<b>D</b>) MRPA CCARM 2095.</p>
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<p>Suppression of gene expressions associated with bacterial growth and survival by PA-Win2. The mRNA expression levels of genes (<span class="html-italic">gyrA</span>, <span class="html-italic">MurD</span>, <span class="html-italic">parC</span>, <span class="html-italic">pbp2</span>, <span class="html-italic">rpoB</span>, <span class="html-italic">rpsL</span>) were analyzed using reverse transcription-quantitative polymerase chain reaction (RT-qPCR). mRNA expression in (<b>A</b>) <span class="html-italic">P</span>. <span class="html-italic">aeruginosa</span> and (<b>B</b>) MRPA CCARM 2095 was suppressed when treated with 4 μg/mL or 2 μg/mL PA-Win2, respectively. Significant differences are indicated as * <span class="html-italic">p</span> &lt; 0.05 and ** <span class="html-italic">p</span> &lt; 0.01 compared with the control group. Con: control.</p>
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<p>The effect of PA-Win2 on the formation and inhibition of biofilms. Representative images of crystal violet (CV) staining were used to assess biofilm formation and inhibition in (<b>A</b>,<b>C</b>) <span class="html-italic">P</span>. <span class="html-italic">aeruginosa</span> under static conditions and (<b>B</b>,<b>D</b>) MRPA CCARM 2095 under shaking conditions after treatment with PA-Win2. CV staining was eluted and quantified relative to the control group. The quantified data are presented in bar graphs. *** <span class="html-italic">p</span> &lt; 0.001 compared with control group. Con: control, EtOH: Ethanol.</p>
Full article ">Figure 7
<p>Downregulation of quorum sensing genes by PA-Win2 treatment. The mRNA expression levels of quorum sensing (QS) genes (<span class="html-italic">Lasl</span>, <span class="html-italic">LasR</span>, <span class="html-italic">PqsA</span>, <span class="html-italic">PqsR</span>, <span class="html-italic">RhlI</span>, <span class="html-italic">RhlR</span>) in <span class="html-italic">P</span>. <span class="html-italic">aeruginosa</span> and MRPA CCARM 2095 were evaluated following treatment with PA-Win2 at concentrations 4 μg/mL or 1 μg/mL, respectively. In <span class="html-italic">P</span>. <span class="html-italic">aeruginosa</span>, significant downregulation of QS genes was observed in both (<b>A</b>) biofilm formation and (<b>C</b>) biofilm inhibition, except for <span class="html-italic">PqsA</span> in the biofilm formation. In MRPA CCARM 2095, PA-Win2 induced suppression of QS-related gene in (<b>B</b>) biofilm formation and (<b>D</b>) biofilm inhibition, except for <span class="html-italic">PqsA</span>. Statistical significance is indicated as * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, and *** <span class="html-italic">p</span> &lt; 0.001 compared with the control group. Con: control.</p>
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13 pages, 3295 KiB  
Article
In Vivo Quantification of Surfactin Nonribosomal Peptide Synthetase Complexes in Bacillus subtilis
by Maliheh Vahidinasab, Lisa Thewes, Bahar Abrishamchi, Lars Lilge, Susanne Reiße, Elvio Henrique Benatto Perino and Rudolf Hausmann
Microorganisms 2024, 12(11), 2381; https://doi.org/10.3390/microorganisms12112381 - 20 Nov 2024
Viewed by 702
Abstract
Surfactin, a potent biosurfactant produced by Bacillus subtilis, is synthesized using a non-ribosomal peptide synthetase (NRPS) encoded by the srfAA-AD operon. Despite its association with quorum sensing via the ComX pheromone, the dynamic behavior and in vivo quantification of the NRPS complex [...] Read more.
Surfactin, a potent biosurfactant produced by Bacillus subtilis, is synthesized using a non-ribosomal peptide synthetase (NRPS) encoded by the srfAA-AD operon. Despite its association with quorum sensing via the ComX pheromone, the dynamic behavior and in vivo quantification of the NRPS complex remain underexplored. This study established an in vivo quantification system using fluorescence labeling to monitor the availability of surfactin-forming NRPS subunits (SrfAA, SrfAB, SrfAC, and SrfAD) during bioprocesses. Four Bacillus subtilis sensor strains were constructed by fusing these subunits with the megfp gene, resulting in strains BMV25, BMV26, BMV27, and BMV28. These strains displayed growth and surfactin productivity similar to those of the parental strain, BMV9. Fluorescence signals indicated varying NRPS availability, with BMV27 showing the highest and BMV25 showing the lowest relative fluorescence units (RFUs). RFUs were converted to the relative number of NRPS molecules using open-source FPCountR package. During bioprocesses, NRPS availability peaked at the end of the exponential growth phase and declined in the stationary phase, suggesting reduced NRPS productivity under nutrient-limited conditions and potential post-translational regulation. This study provides a quantitative framework for monitoring NRPS dynamics in vivo, offering insights into optimizing surfactin production. The established sensor strains and quantification system enable the real-time monitoring of NRPS availability, aiding bioprocess optimization for industrial applications of surfactin and potentially other non-ribosomal peptides. Full article
(This article belongs to the Special Issue Advances in Microbial Surfactants: Production and Applications)
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<p>Online monitoring of cell growth and fluorescence intensity (FI) of <span class="html-italic">B. subtilis</span> sensor strains. Optical density (<b>a</b>) and relative fluorescence intensity (<b>b</b>) were determined for the constructed <span class="html-italic">B. subtilis</span> mutant strains encoding <span class="html-italic">srfA</span> genes C-terminally fused with a <span class="html-italic">megfp</span> protein tag over a 12 h period in 96-well plate cultivations. Hence, the parental control strain BMV9 (diamond) and the sensor strains BMV25 (<span class="html-italic">srfAA</span>-<span class="html-italic">megfp</span>, green cycle), BMV26 (<span class="html-italic">srfAB</span>-<span class="html-italic">megfp</span>, cyan cycle), BMV27 (<span class="html-italic">srfAC</span>-<span class="html-italic">megfp</span>, inverted orange triangle), and BMV28 (<span class="html-italic">srfAD</span>-<span class="html-italic">megfp</span>, violet triangle) were cultured in biological triplicates.</p>
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<p>Fluorescence microscopic image of bacterial strains cultivated in mineral salt medium until the middle of the exponential phase. <span class="html-italic">B. subtilis</span> BMV25 (<span class="html-italic">srfAA-megfp</span>) (<b>a</b>), <span class="html-italic">B. subtilis</span> BMV26 (<span class="html-italic">srfAB-megfp</span>) (<b>b</b>), <span class="html-italic">B. subtilis</span> BMV27 (<span class="html-italic">srfAC-megfp</span>) (<b>c</b>), and <span class="html-italic">B. subtilis</span> BMV28 (<span class="html-italic">srfAD-megfp</span>) (<b>d</b>) showing the localization of surfactin-forming NRPS subunits with C-terminal-fused mEGFP protein.</p>
Full article ">Figure 3
<p>Overview of bioproduction parameters by <span class="html-italic">B. subtilis</span> sensor strains during the cultivation process. The parental <span class="html-italic">B. subtilis</span> strain BMV9 as the negative control and the sensor strains BMV25 (<span class="html-italic">srfAA</span>-<span class="html-italic">megfp</span>), BMV26 (<span class="html-italic">srfAB</span>-<span class="html-italic">megfp</span>), BMV27 (<span class="html-italic">srfAC</span>-<span class="html-italic">megfp</span>), and BMV28 (<span class="html-italic">srfAD</span>-<span class="html-italic">megfp</span>) were cultured in biological triplicates in shake flasks over a period of 33 h. During the cultivation process, surfactin (<b>a</b>), living cell numbers (<b>b</b>), and the relative number of protein molecules equivalent to mEGFP (MEFP) (<b>c</b>) were monitored.</p>
Full article ">Figure 4
<p>Calculation of the relative productivity of the surfactin-producing SrfA subunits. The correlation between the surfactin produced and the calculated MEFP for the <span class="html-italic">B. subtilis</span> sensor strains BMV25 (<span class="html-italic">srfAA</span>-<span class="html-italic">megfp</span>), BMV26 (<span class="html-italic">srfAB</span>-<span class="html-italic">megfp</span>), BMV27 (<span class="html-italic">srfAC</span>-<span class="html-italic">megfp</span>), and BMV28 (<span class="html-italic">srfAD</span>-<span class="html-italic">megfp</span>) at the beginning of the exponential growth phase until the end of cultivation after 33 h. The bar plot shows the relative bioproduction of surfactin per NRPS molecule, represented by the fluorescence of the fused mEGFP.</p>
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