Identification of Ground Beef–Derived Fatty Acid Inhibitors of Autoinducer-2–Based Cell Signaling

Soni, Kamlesh A.; Jesudhasan, Palmy R.; Cepeda, Martha; Widmer, Kenneth W.; Jayaprakasha, G.K.; Hume, Michael E.; Pillai, Suresh D.

doi:10.4315/0362-028x-71.1.134

Cited by 54 publications

(26 citation statements)

References 28 publications

(32 reference statements)

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“…This is the case with the findings of Soni et al (116,117) who reported that the presence of AI-2 molecules promoted the survival of E. coli O157:H7 cells, whereas the protective effect of AI-2 molecules was negated in the presence of ground beef extracts that contained a significant amount of inhibitory activity.…”

Section: Quorum Sensing In the Context Of Food And Food Processingsupporting

confidence: 76%

“…So far, few studies have investigated the influence of food system conditions on autoinducer signal production by foodborne pathogens (9,17,70,79,80) and the influence of these QS signals on the survival/growth of pathogenic bacteria in foods (9,115). Soni et al (116,117), for example, reported that the survival and virulence expression of a luxS mutant strain of Escherichia coli O157:H7 was enhanced in the presence of autoinducer-2 (AI-2). Similarly, production of AI-2 by Salmonella enterica serovar Typhimurium contributed significantly to its ability to colonize in chicken intestine compared to the LuxS Ϫ mutant strain (9).…”

Section: Bacterial Communicationmentioning

confidence: 99%

“…The antimicrobial action of these plant extracts has been widely used in the food and flavor industry, whereas their ability to produce AHL-degrading bacterial enzymes, which is known in vitro, remains to be evaluated in situ so that they can be used as QS inhibitors (5,14,50,56,82,83,99,100,101,116,117,124). Inhibitory substances or compounds that may mask the QS effect have been reported in foods of animal origin (5,116,117). In general, each food product or class of products will suit a type or group of QSIs that might be used as alternative preservatives to prevent or delay food spoilage.…”

Section: Promoting Versus Quenching Quorum Sensingmentioning

confidence: 99%

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Quorum Sensing in the Context of Food Microbiology

Skandamis

Nychas

2012

Appl Environ Microbiol

180

115

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ABSTRACTFood spoilage may be defined as a process that renders a product undesirable or unacceptable for consumption and is the outcome of the biochemical activity of a microbial community that eventually dominates according to the prevailing ecological determinants. Although limited information are reported, this activity has been attributed to quorum sensing (QS). Consequently, the potential role of cell-to-cell communication in food spoilage and food safety should be more extensively elucidated. Such information would be helpful in designing approaches for manipulating these communication systems, thereby reducing or preventing, for instance, spoilage reactions or even controlling the expression of virulence factors. Due to the many reports in the literature on the fundamental features of QS, e.g., chemistry and definitions of QS compounds, in this minireview, we only allude to the types and chemistry of QS signaling moleculesper seand to the (bioassay-based) methods of their detection and quantification, avoiding extensive documentation. Conversely, we attempt to provide insights into (i) the role of QS in food spoilage, (ii) the factors that may quench the activity of QS in foods and review the potential QS inhibitors that might “mislead” the bacterial coordination of spoilage activities and thus may be used as biopreservatives, and (iii) the future experimental approaches that need to be undertaken in order to explore the “gray” or “black” areas of QS, increase our understanding of how QS affects microbial behavior in foods, and assist in finding answers as to how we can exploit QS for the benefit of food preservation and food safety.

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Section: Quorum Sensing In the Context Of Food And Food Processingsupporting

confidence: 76%

Section: Bacterial Communicationmentioning

confidence: 99%

Section: Promoting Versus Quenching Quorum Sensingmentioning

confidence: 99%

See 1 more Smart Citation

Quorum Sensing in the Context of Food Microbiology

Skandamis

Nychas

2012

Appl Environ Microbiol

180

115

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“…In addition to these examples, a series of AHL analogues with varying side chain lengths and substitutions have been synthesized de novo and are highly effective in inhibiting the QS systems of several Gram-negative bacteria (30,(40)(41)(42)(43)(44). The few known ex-amples of interference with AI-2 often represent more indirect mechanisms, such as inhibition of AI-2 synthesis or phosphorylation processes involved in interspecies signal processes (9,14,45,46). However, several synthetic AI-2 analogues have been shown to compete with natural AI-2 for binding to the corresponding receptor (47)(48)(49)(50).…”

Section: Q Uorum Sensing (Qs) Is the Cell-cell Communication Betweenmentioning

confidence: 99%

Novel Reporter for Identification of Interference with Acyl Homoserine Lactone and Autoinducer-2 Quorum Sensing

Weiland‐Bräuer

Pinnow

Schmitz

2015

Appl Environ Microbiol

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Two reporter strains were established to identify novel biomolecules interfering with bacterial communication (quorum sensing [QS]). The basic design of these Escherichia coli-based systems comprises a gene encoding a lethal protein fused to promoters induced in the presence of QS signal molecules. Consequently, these E. coli strains are unable to grow in the presence of the respective QS signal molecules unless a nontoxic QS-interfering compound is present. The first reporter strain designed to detect autoinducer-2 (AI-2)-interfering activities (AI2-QQ.1) contained the E. coli ccdB lethal gene under the control of the E. coli lsrA promoter. The second reporter strain (AI1-QQ.1) contained the Vibrio fischeri luxI promoter fused to the ccdB gene to detect interference with acyl-homoserine lactones. Bacteria isolated from the surfaces of several marine eukarya were screened for quorum-quenching (QQ) activities using the established reporter systems AI1-QQ.1 and AI2-QQ.1. Out of 34 isolates, two interfered with acylated homoserine lactone (AHL) signaling, five interfered with AI-2 QS signaling, and 10 were demonstrated to interfere with both signal molecules. Open reading frames (ORFs) conferring QQ activity were identified for three selected isolates (Photobacterium sp., Pseudoalteromonas sp., and Vibrio parahaemolyticus). Evaluation of the respective heterologously expressed and purified QQ proteins confirmed their ability to interfere with the AHL and AI-2 signaling processes. Q uorum sensing (QS) is the cell-cell communication betweenbacteria that allows the perception of population density by small signaling molecules-so-called autoinducers-and modifies gene expression in response to the population density. It controls a wide spectrum of processes and phenotypic behaviors, including stress resistance, production of toxins and secondary metabolites, pathogenicity, swarming, and biofilm formation (for a review, see references 1 and 2). In addition to playing important roles in intraspecies and interspecies communication, QS is also involved in host-microbe interactions (3-5). Intraspecific communication of Gram-negative bacteria is based on the production and perception of acylated homoserine lactones (AHLs) synthesized by LuxI homologs. Increasing intracellular concentrations of diffusible AHLs with higher cell densities are perceived by binding of the AHLs to the cognate receptor (e.g., LuxR in Vibrio fischeri), resulting in activation or inhibition of target gene transcription (6, 7). Interspecific communication between different species within one habitat has been demonstrated to depend on the synthesis and detection of the universal autoinducer-2 (AI-2), which can be inhibited by furanones (8, 9). The perception of these signal molecules is achieved either by a two-component regulatory system (e.g., in Vibrio harveyi, where the induced phosphorylation cascade finally results in the induction of specific target genes) (10), or by transportation of the signal molecule into the cell (e.g., in Escherichia coli,...

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“…Usually low polarity DB-1 or DB-5 columns, and equivalent columns, are employed for these chromatographic separations. Even when detection of signaling molecules has been reported by FID detectors (Soni et al, 2008) and electron capture detectors (ECD), the most used detector is the single quadrupole MS detector, in both positive and negative detection modes. In addition, for increase the sensibility of the methods for previously identified signaling molecules, selected ion monitoring (SIM) detection modes are preferred over the full SCAN detection mode.…”

Section: Extraction Structural and Stereochemical Analysis By Gc Of mentioning

confidence: 99%