1. Please check and comment entries here.
Table of Contents

    Topic review

    Antimicrobials and Food-Related Stresses

    (This entry belongs to Entry Collection "Environmental Sciences ")

    Definition

    Ultraviolet (UV) radiation uses physical energy, and it is a non-thermal and non-chemical technology used by the food industry for liquid and solid surface decontamination, to control foodborne pathogens and spoilage microorganisms, as well as viruses and protozoa. UV radiations at short wavelengths, in the range of from 220 to 280 nm, result in physical damage to the nucleic acids and inhibit bacterial replication by induction of the formation of cyclobutene pyrimidine dimers, which blocks DNA replication and transcription, leading to cell death . However, the repair mechanism of UV damage, especially by photoreactivation, is a major disadvantage of UV disinfection .

    1. Introduction

    In recent years, there has been an effort to reduce foodborne diseases, by the implementation of food safety measures from farm to fork. Nonetheless, a high burden of foodborne diseases still exists, with the World Health Organization estimating that each year worldwide, the consumption of unsafe food causes about 600 million cases of foodborne diseases and 420,000 deaths [1]. Further, amongst the cases of foodborne diseases, the ones caused by antibiotic-resistant bacteria are increasing and are a major health problem, with the food chain being pointed to as a relevant vehicle of antibiotic resistance to humans [2].

    The use and misuse of antimicrobial compounds have been related to an increase in the emergence of antimicrobial resistance (AMR) amongst foodborne microorganisms. The identification of resistant microorganisms at every stage of the food chain, from farm to fork, highlights the major concern that is AMR [2][3]. biocides are considered as a key motive power for the emergence and spread of antibiotic resistance along the food chain [4]. However, other factors, such as different antimicrobial approaches, or even agricultural or food-processing procedures, may have a role in the emergence and spread of antibiotic resistance along the food chain.

    During food production and processing, different types of antimicrobials are used throughout the several stages of the food chain, namely, antibiotics, agricides and biocides, among others (e.g., agrochemicals, feed and food preservatives, decontaminants, or disinfectants). These products are applied to ensure food quality and safety, as well as to assure the efficiency of the system. Antimicrobials may also be added to feed and food as preservatives to control foodborne bacteria, inhibit spoilage microorganisms, and extend the shelf life of the final products. Decontaminants can be used to inactivate, or inhibit, the growth of pathogenic and spoilage microorganisms in fresh food, while disinfectants are mostly used to reduce the level of microorganisms in abiotic surfaces, equipment, and others [4][5].

    Overall, foodborne bacteria are subject to several stresses during their lifecycle, and throughout all the processes associated with food production, processing and storage. The adaptative or protective response may, in turn, confer protection to the same stress or against a different type of stress, known as stress cross-adaptation [6]. Usually, this adaptation occurs as a cellular response of the bacterium to the stressor, by regulating molecular mechanisms that, ultimately, may result in the cellular repair or damage tolerance, in the maintenance of cell homeostasis, or even in the removal of the stressor [6][7]. In turn, this cross-adaptation may select variants with increased tolerance or resistance, including decreased susceptibility to several antibiotics, namely, some antibiotics relevant to clinical practice.

    Taking this into consideration, this review focused on the cross-adaptation due to the non-antibiotic, food-chain-related stresses, associated with a diminished susceptibility to antibiotics and facilitation of antimicrobial emergence, and, thus, the spread of antibiotic resistance along the food chain, while also acting as an AMR reservoir.

    2. Interaction of the Use of Non-Antibiotic Antimicrobials with A Potential Antibiotic Decreased Susceptibility

    A further driver of resistance is the non-antibiotic antibacterial, such as agrochemicals, biocides, heavy metals, or food preservatives, for which bacteria could acquire antibiotic resistance by co- or cross-resistance mechanisms.

    Furthermore, the presence of a diversity of drugs, commonly used in humans and animals, as well as on agricultural procedures, in surface and wastewaters, even in trace amounts, may enter the food chain and potentiate the development of resistant foodborne pathogens. They found that the exposure to organophosphates led to substantive changes in the minimum inhibitory concentration (MIC) values of the antibiotics tested (ampicillin, erythromycin, gentamicin, kanamycin, neomycin, norfloxacin, oxacillin, sulfathiazole, tetracycline, and vancomycin). When agrochemical combinations were applied, a major increase in MICs to all tested antibiotics was presented [8]. The potentiation of decreased susceptibility to antibiotics by exposure to a mixture of pesticides or pesticides and antibiotics has been reported by other authors [9].

    In fact, the induced response to the various herbicides varied according to the exposed species, and the tolerance to different antibiotics changed with the exposure to different herbicides. In fact, historical isolates of S. enterica from a period before the introduction of the glyphosate-based herbicides presented lower MICs for these compounds than isolates collected after the introduction of the herbicide [10]. S. enterica presented a slow adaptation dynamic; however, glyphosate-based herbicide resistance has the potential to become fixed in isolates, with mutations arising close to or at the glyphosate molecular target, as well as in genes associated with stress response and tolerance [11]. The transient exposure of pathogenic S. enterica strains to sub-inhibitory concentrations of the herbicide elicited a tolerance response at the cellular level and up-regulation of the AcrAB-TolC efflux system.

    Other chemical stressors, such as pesticides, have also been shown to influence the expression of genes coding for efflux or influx proteins. Consequently, environmental contamination with pesticides may be associated with antibiotic resistance. However, it was used for many years as a bactericide, fungicide, herbicide, defoliant, and wood preservative, and can still be detected in food products [12][13]. This compound was shown to upregulate genes coding for multidrug efflux pumps, including MexAB-OprM, an efflux pump responsible for resistance to a wide variety of antibiotics in Pseudomonas aeruginosa (P. aeruginosa) [14].

    In the case of the first scenario, the higher resistance to streptomycin was attributed to mutations associated with the antibiotic target by exposure to the pesticides. In the second scenario, diverse genetic mutations emerged from exposure to both pesticides and ampicillin, with the ones differing from the mutants resulting from ampicillin exposure, which were transcriptional-level associated. These mutations suggest that higher resistance may be gained by augmented biofilm formation, heat shock, oxidative stress or carbon starvation defenses, and the deactivation of prophage related genes. The authors proposed that the co-occurrence of pesticides and sub-inhibitory concentrations of antibiotics select, de novo, antibiotic-resistant mutants from a susceptible population in a synergistic way, leading to a higher resistance than from mutants, selected by only the antibiotic [15].

    Beyond the role of the adaptative response triggered by exposure to agrochemicals leading to changes in gene expression, often associated with efflux and permeability or phenotypical resistance, the acquisition of spontaneous mutations has also been related to a decrease in susceptibility to antibiotics, and attention must be given to co-resistance occurrence.

    Overall, these works pointed to the significance that low-level chemical contaminations may have in decreasing the susceptibility to antibiotics, even at legal food residue levels, while highlighting the need for further study.

    Another important factor involved in the development of antibiotic resistance is the extensive and widespread use of biocides in the food and health system and animal facilities. Therefore, there are large amounts of residuals of these compounds in the sewage, water from agricultural areas and other similar aquatic environments. Sometimes, co- or cross-selection with other biocides or antibiotics can also occur [16][17][18]. Several researchers proposed that some biocides can provide cross-resistance properties to antibiotics, including: triclosan; chlorhexidine; hypochlorite; chlorine dioxide; quaternary ammonium compounds (QACs); parabens; phenols; glutaraldehyde; acid anionics; peroxygen compounds (Table 1).

    Table 1. Examples of bacterial cross-adaptation to antibiotics induced by exposure to non-antibiotic antimicrobials.
    Non-Antibiotic Antimicrobials Bacterial Species Antibiotics to which Susceptibility was Decreased Bacterial Adaptation/Mechanism of Resistance Reference
    Agrochemicals        
    Combination of three pesticides: captan, carbaryl, and malathion S. aureus Sulfamethazine Not reported [11]
    Dicamba E. coli/
    S. Typhimurium
    Chloramphenicol, ciprofloxacin, tetracycline/
    Ampicillin, chloramphenicol, ciprofloxacin, tetracycline
      [12]
    2,4-dichlorophenoxyacetic acid Ampicillin, ciprofloxacin/
    Ampicillin, chloramphenicol, ciprofloxacin, tetracycline
    Efflux pumps and induction of the soxRS regulon account for
    the change in susceptibility in E. coli.
    Dicamba plus chloramphenicol and Roundup plus kanamycin
    Glyphosate (RoudUp) Ciprofloxacin/
    Ciprofloxacin, kanamycin
     
    Mixture of 23 pesticides E. coli Streptomycin Mutations associated with the antibiotic target [13]
    Biocides        
    Sodium hypochlorite E. coli Spectinomycin, nalidixic acid, ampicillin-sulbactam Increase in cell surface hydrophobicity and biofilm formation, changes in cell morphology and ultrastructure [14]
    Quaternary ammonium disinfectant or triclosan S. Typhimurium Chloramphenicol, ciprofloxacin, tetracycline, ampicillin Overexpression of AcrAB efflux pump and reduction in outer membrane porins [15]
    Triclosan E. coli Ampicillin, ampicillin-sulbactam, cefazoline, cefaclor, cefotaxime, cefepime, erythromycin, azithromycin, gentamicin, chloramphenicol, tetracycline, ciprofloxacin, lomefloxacin, imipenem Changes in bacterial membrane properties and enhancing the efflux system [16]
    Quaternary ammonium disinfectant S. aureus Fluoroquinolones Increased expression of norA [17]
    Quaternary ammonium disinfectant (benzalkonium chloride) L. monocytogenes Cefotaxime, cephalothin, ciprofloxacin Increased expression of MdrL efflux pump [18]
    Benzalkonium chloride or chlorhexidine P. aeruginosa Ciprofloxacin, novobiocin Decrease in the expression of the repressor gene mexR and increase the activity of MexAB-OprM and MexCD-OprJ efflux pumps [19,20]
    Didecyldimonium chloride P. aeruginosa Colistin, ceftazidime, amikacin, meropenem, gentamicin, piperacillin-tazobactam, ciprofloxacin Not reported [21]
    Sodium hypochlorite P. aeruginosa Amikacin, gentamicin, meropenem, ciprofloxacin Not reported [21]
    Chlorhexidine K. pneumoniae Colistin Mutations in Tet repressor gene (smvR) and up-regulation of the smvA gene, both involved in MFS efflux pump system; modification of LPS [22]
    Chlorine Salmonella Enteritidis Tetracycline, nalidixic acid, chloramphenicol MarRAB operon and increased expression of efflux pumps [23]
    Chlorine S. enterica serovar Heidelberg Gentamicin, streptomycin, ampicillin, ciprofloxacin (adapted rugose); sulphamethoxazole/trimethoprim and streptomycin (adapted smoothly) Not reported [24]
    Chlorine E. coli Trimethoprim Not reported [25]
    Chlorine (>1.0 mg Cl2/L) E. coli Tetracycline Not reported [26]
    Chlorine (2 mg/L) E. coli Ampicillin Not reported [27]
    Chlorine (1 and 5 mg/L) K. pneumoniae Ampicillin Not reported [28]
    Chlorine (4 and 8 mg/L) P. aeruginosa Ceftazidime, chloramphenicol, ampicillin Not reported [29]
    Chlorine P. aeruginosa Amikacin, gentamicin Not reported [21]
    Heavy Metals        
    Cr
    Pb
    Cd
    Zn
     
    Cu
    E. coli Fluoroquinolone
    Vancomycin
    Quinolone
    Fluoroquinolone, ampicillin, cephalothin, and trimethoprim/sulfamethoxazole, vancomycin
    Ampicillin, cephalothin, trimethoprim/sulfamethoxazole
    Not reported [30]
    Hg Enterobacteriaceae Various antibiotics (not specified) Not reported
    Co, Cr, Cu, Hg, Ni, Zn
    Pb
    Salmonella spp. Penicillin
    Ampicillin, chloramphenicol, tetracycline
     
    Ag, Cd, Cu, Ni, Pb, Zn
     
    Zn, Cu
    P. aeruginosa Aminoglycoside, amphenicol, macrolide, nitrofuran, penicillin,
    Quinolone, sulfonamide, tetracycline, trimethoprim/sulfamethoxazole;
    imipenem
    Outer membrane proteins
     
    Co-regulation
    Cd A. baumannii, Klebsiella spp., P. aeruginosa, Providencia spp, Proteus spp. Penicillin, ampicillin Not reported
    Hg E. coli, Klebsiella spp., Shigella spp. Tetracycline, Sulfamethoxazole/trimethoprim Not reported
    Cu, Ni, Zn Klebsiella spp., P. aeruginosa, Proteus spp. Ampicillin, amoxicillin, tetracycline Not reported
    Food preservatives and decontaminants        
    Lactic acid Cronobacter sakazakii Neomycin, tetracycline, tilmicosin, florfenicol, Amoxicillin, ampicillin, vancomycin, ciprofloxacin, enrofloxacin Not reported [31]
    Acidification with HCl E. coli
    S. Typhimurium
    S. aureus
    Amikacin, ceftriaxone, nalidixic acid
    Amikacin, ceftriaxone, trimethoprim
    Gentamicin, erythromycin
    Not reported [32]
    Acetic acid, sodium benzoate, sodium nitrite S. Enteritidis Tetracycline mar mutation [23]
    Trisodium phosphate E. coli Ampicillin Not reported [14]
    Sodium nitrite Spectinomycin, amikacin, kanamycin, streptomycin, cefazolin, cephalothin, cefotaxime, ceftazidime, cefepime, aztreonam, nalidixic acid, enrofloxacin, phosphomycin, nitrofurantoin Increase in cell surface hydrophobicity and biofilm formation
    Lactic acid (pH 6, 5.5, 5) L. monocytogenes Streptomycin, gentamicin, ampicillin, penicillin, ciprofloxacin, enrofloxacin Not reported [33]
    Lactic acid (1%, pH 3.5) L. monocytogenes Ciprofloxacin, nitrofurantoin, erythromycin Not reported [34]
    Sulphuric acid (pH 3, 5, 6) Acinetobacter baumannii Amikacin, piperacillin, tazobactam, imipenem, meropenem Not reported [35]
    Natural Compounds        
    Epigallocathechin gallate S. epidermis, S. aureus Vancomycin, oxacillin, ampicillin Increased cell wall thickness, with a role of the two-component VraSR system [36,37]
    Melaleuca alternifolia oil E. coli Gentamicin, erythromycin, vancomycin, chloramphenicol, tetracycline, trimethoprim, mupirocin Not reported [38]
    S. Enteritidis, S. Typhimurium Gentamicin, chloramphenicol, tetracycline, streptomycin, trimethoprim, mupirocin
    S. aureus Gentamicin, vancomycin, chloramphenicol, trimethoprim, ampicillin, fusidic acid, mupirocin
    Thymus marroccanus essential oil E. coli Chloramphenicol, nalidixic acid, tetracycline, erythromycin Overexpression of AcrAB-tolC and decrease of the expression of outer membrane proteins [39]
    Pine oil E. coli Tetracycline, ampicillin, chloramphenicol Overexpression of marA gene. [40]

    variants were exposed to sub-MIC of QACs or triclosan, a reduction in outer membrane porins and increase in the expression of the AcrAB-TolC efflux pump occurred. Further, benzalkonium chloride (classified as a QACs) could trigger the expression levels of MdrL efflux pump in Listeria monocytogenes (L. monocytogenes), leading to a decrease in the susceptibility to ciprofloxacin by increasing two-fold the MIC value, or even changing the profile from susceptible to resistant to various strains for cefotaxime and cephalothin [7][19]. In P. aeruginosa, the exposure to sub-MIC levels of benzalkonium chloride and chlorhexidine could decrease the expression of the repressor gene mexR and, in turn, induce the expression of MexAB-OprM and MexCD-OprJ efflux pumps [20][21]. In fact, the exposure to sub-inhibitory concentrations of benzalkonium chloride caused a change in the categorization of P. aeruginosa, from ciprofloxacin-susceptible to -resistant [20].

    Additionally, some oxidizer components, such as hydrogen peroxide and hypochlorous acid, which are used widely in the poultry industry at present, can trigger oxyR radical defense or soxRS systems in bacteria. These activations might lead to an overexpression of efflux pumps that render resistance to streptomycin and rifampin [17].

    Chlorine is one of the most widely used disinfection methods, mainly due to its low cost and durability. By applying chlorine to bacteria, the first attack is directed towards proteins and peptidoglycan. After this, it can enter cells primarily through diffusion and transport, penetrate the cell wall and reach the cytoplasm, and then react with cellular components and coagulate enzymes and nucleic acids, causing microbial death [22].

    As found for other compounds, the adaptation of bacteria to chlorine could constitute a potential threat to food safety by inducing cross-protection to clinically important antibiotics, as well as by contributing to the spread of resistance to other bacteria [23][24]. The exposure to 25 ppm of chlorine induced the marRAB operon, suggesting that mar mutation was responsible for these higher resistances, as a global regulator controlling intrinsic resistance towards structurally and functionally unrelated antibiotics and associated with an increased expression of efflux pumps [25]. (2016) observed different effects of chlorine treatment (at both 1 and 5 mg/L) on the antibiotic resistance profile in residual K. pneumoniae strains, namely, an increase in resistance to ampicillin as well as an increase in susceptibility to cefaclor and tetracycline were reported [26]. (2019) investigated the chlorine injury in P. aeruginosa at different exposure levels, and only strains with final chlorine concentrations of 4 and 8 mg enhanced antibiotic resistance against ceftazidime, chloramphenicol and ampicillin, similarly to MIC values reported by Nasr et al.

    (2020) found that E. coli, Salmonella Aberdeen, P. aeruginosa and Enterococcus faecalis (E. faecalis) showed diverse resistance to sodium hypochlorite and chlorine disinfection naturally accelerated the genetic exchange in or across bacterial genera by promoting the horizontal transfer of plasmids by natural transformation. (2018) showed that both triclosan (0.1 mg/L) and chlorhexidine (24.4 μg/L) can promote the horizontal transfer of antibiotic resistance [27]. (2017) observed similar results and proposed that the sub-MIC of chlorine, chloramine and hydrogen peroxide could promote ARG transfer between E. coli strains, as well as from E. coli to S. Typhimurium, by an average of one to five-fold. Therefore, a strategy to correctly use these chemicals according to their effect on antibiotic resistance or replace them by applying other techniques, should be defined.

    Once in the environment, their persistence, as well as their bioaccumulation in the food chain, have long-term impacts, both posing food safety issues and acting as a selective pressure for adaptations in microbial communities, even considering that heavy metals are more stable and resistant to degradation than antibiotics [28]. In addition, on one hand, the alteration in the metal/antibiotic target is associated with copper, mercury, zinc, ciprofloxacin, rifampicin, β-lactams, and trimethoprim, and on the other, the maintenance of multi-resistance is performed by plasmids harboring antibiotic resistance genes, as well as genes encoding resistance to heavy metal, for example, conjugative plasmids for the co-transfer of macrolide and glycopeptide copper resistance, or for genes encoding β-lactamases (blaCTX-M) or even bla, strAB, catI, sulII and dhfr1b genes for multiple resistance to ampicillin, streptomycin, chloramphenicol, sulphonamide and trimethoprim, as well as the linkage of copper, silver and mercury-resistance operons. (2019) reviewed the association between ten heavy metals (cadmium, copper, zinc, mercury, cobalt, chromium, nickel, silver, iron, and arsenic) and antibiotic resistance versus different antibiotic classes within human pathogenic bacteria (P. aeruginosa, E. coli, (2020) considered the presence of co-resistance to metals and antibiotics in aquatic environments worldwide and stated that, even in environments where antibiotics have never been used, the presence of heavy metals is sufficient to select for antibiotic-resistant bacteria and antibiotic resistance genes.

    Antimicrobials are widely used throughout the food chain, whether in the agriculture and livestock industry or directly in foods, with the direct or indirect potential to affect the development of antimicrobial resistance by bacteria dispersal along the farm-to -fork continuum. While the adaptation to antibiotics and biocides has been widely studied, the response and adaptation of foodborne bacteria to food preservatives and decontaminants is poorly studied (Table 1.).

    Acids are included in the compounds more vastly used in food preservation and decontamination procedures. Acidic stress is as a primary barrier in food and, therefore, the adaptive responses of foodborne pathogens may enhance resistance to other substances and could lead to cross-protection. When exposed to acid stress, microorganisms may adapt to these environments by the overexpression of sigma factor, synthesis of outer membrane proteins, by alteration of the membrane permeability and of the cell membrane fluidity by modifying the membrane lipid composition. These changes have a direct effect on the influx and efflux of antibiotics across the cell membrane and thus on the antibiotic susceptibility of the bacterial cell itself [29].

    is a crucial foodborne pathogen faced with different stress conditions, both in their environmental niches, mainly during the production and storage of foodstuff, as well as in the defensive barriers (gastrointestinal tract) of their hosts. Four wild-type strains of S. Typhimurium, E. coli, and S. aureus, under conditions of low-pH stress of 5.0, 4.5, or 4.0 obtained by acidification with HCl, significantly altered their antibiotic resistance levels, with the higher MIC of amikacin, ceftriaxone and nalidixic acid than controls. This decreased susceptibility was maintained after the stress was removed in E. coli and S. aureus, but not in S. Typhimurium, suggesting that the observed increase in MICs could be a stress response involving the whole population or the selection and outgrowth of a subpopulation of hyper-resistant clones [30]. (2010) found no association between antibiotic resistance and acid stress response for Salmonella spp.

    Even in L. monocytogenes, which is a versatile organism with the ability to survive for long periods under adverse environmental conditions including cold storage, high NaCl concentrations and acidic pH, some adaptive responses were evidenced. The results demonstrated that food strains resistant to ciprofloxacin, nitrofurantoin and erythromycin were significantly more resistant to acidic stress than susceptible strains [31]. (2018) tested the influence of pH stress (acid at 3, 5, and 6 and alkaline at 9 and 10 pH (2011) and was shown to increase sensitivity toward streptomycin, gentamicin, kanamycin and doxycycline, while augmenting resistance to tetracycline, tilmicosin, florfenicol, amoxicillin, ampicillin, vancomycin and enrofloxacin (with variable strain response toward ciprofloxacin).

    Considering the diverse results obtained and a practical application of acidic stress in food processing, the use of lactic and acetic acids for decontamination of food products was recently addressed in a scientific opinion on the evaluation of the safety and efficacy of these acids on the reduction in microbiological surface contamination on pork carcasses and pork cuts, conducted by the European Food Safety Authority Panel on Food Contact Materials, Enzymes and Processing Aids by request of the European Commission. This report considered several points, namely the potential selection and emergence of bacteria with reduced susceptibility to biocides and/or resistance to antibiotics with therapeutic use. The existence of insufficient indications that could support the hypothesis that a sublethal exposure of bacteria to organic acids may promote or augment antibiotic or biocide resistance was pointed out [32]. Despite the fact that a possible acid adaptation may occur, leading to a reduced efficacy of organic acids or other chemical treatments [33][34] (and reviewed by [35]), or even to a small decrease in susceptibility to some antibiotics [25][30], their impact on public health is unknown [32].

    (2006) explored the potential of widely used food preservatives to confer antibiotic resistance to Salmonella Enteritidis, showing that a single exposure to acetic acid, sodium benzoate, or sodium nitrite can result in a stable decrease in susceptibility to tetracycline. (2015) studied the adaptation and cross-adaptation of E. coli ATCC 12806 by passage through gradually higher concentrations of trisodium phosphate, sodium nitrite, and sodium hypochlorite, observing an adaptative tolerance to these compounds. This adaptation was stable for sodium nitrite and sodium hypochlorite and could be at least partially caused by efflux pumps and changes in cell surface hydrophobicity [36]. In addition, the adaptation to sodium nitrite and sodium hypochlorite substantially improved biofilm formation ability.

    On the other hand, strains adapted to QACs, hexachlorophene [2, 2′-methylenebis (3, 4, 6-trichlorophenol)] or chlorhexidine presented a generalized increase in the susceptibility to preservatives, with some exceptions, which may be strain-dependent [37]. A correlation between antibiotic resistance and an increased tolerance to stress was described for drug- or multidrug-resistant S. aureus strains or antibiotic-adapted S. Typhimurium. A similar relation was established for various Salmonella serotypes, where a correlation between survival to acidified sodium chloride and trisodium phosphate was presented. The significance of the correlation was more evident for acidified sodium chloride.

    Similar to other stressors, antibiotic resistance could be additionally potentiated in an indirect form by environmental stresses, such as the ones found in food preservation systems, such as high/low temperature, pH and osmotic stresses, which may increase the rates of horizontal transmission of plasmids between E. coli strains or E. coli and S. Typhimurium, stimulating the antibiotic resistance exchange. Thus, the use of sublethal food preservation systems may contribute to the dissemination of antibiotic resistance [38]. For example, the rate of horizontal transmission of antibiotic resistance plasmids among E. coli strains and between E. coli and S. Typhimurium was investigated by McMahon et al. (2007), showing an increased rate of horizontal transmission of plasmids R386 and TP307 when a prestressed donor and recipient cells are mated under sublethal acid stress [38].

    A growing interest in natural compounds as an alternative to chemical disinfectants and food preservatives was reported, focused on their safety and ability to act in multiple-cell targets, thus potentially limiting the development of resistance [39]. Furthermore, to reduce the use of agrochemicals, plant extracts were used as biopesticides, with some already-commercialized organic pesticides based on essential oils (reviewed by Durán-Lara et al. This phenomenon has been observed for several antimicrobials, and some studies have shown that the exposure of bacteria to sub-inhibitory concentrations of natural compounds may lead to the cross-resistance to antibiotics or even food-associated stresses, while others have pointed out that the use of natural compounds would not influence the resistance to antibiotics. Considering this, when evaluating the antimicrobial potential of natural compounds as food preservatives or for application in several stages of the food chain, the possible facilitation of the emergence of AMR by microbial exposure should be assessed.

    For example, epigallocathechin gallate (EGCG), a major polyphenolic component of green tea extract, is known to possess many beneficial properties, including antibacterial activity. Furthermore, it was associated with an induction of a cell wall stress response in S. aureus, modulated by the two-component VraSR system, in the same manner as cell-wall-active antibiotics [40]. The upregulation of genes encoding efflux system proteins by the exposure of Pseudomonas fluorescens, a spoilage bacterium commonly found in diverse food matrixes, to EGCG, has been described. Efflux is one of the mechanisms commonly associated with cross-resistance to compounds without a chemical relation, and even the selection or acquisition of other resistance mechanisms [41], which point to a possible cross-resistance with antibiotics and the facilitation of AMR emergence.

    The cross-adaptation induced by other natural products has been studied; this is the case of the tea tree oil (Melaleuca alternifolia), an essential oil which is widely available and vastly investigated as an alternative antimicrobial, anti-inflammatory and anti-cancer agent for topical use, since it is toxic if ingested in high doses [42][43]. Further, after the adaptation of staphylococci strains to tea tree oil, a reduction in the susceptibility to mupirocin, fusidic acid, chloramphenicol, linezolid, and vancomycin was observed, although this was a transient, decreased susceptibility [44]. Another study focusing on a similar analysis reported that exposure to tea tree oil did not present any global effects on the development of antibiotic resistance in S. aureus, S. epidermidis, and E. coli, and that the repeated exposure to its main component, terpinen-4-ol, did not lead to a decrease in susceptibility. In fact, the authors suggest that, if an adaptive response was induced, it would not alter the antimicrobial susceptibility or conferred cross-protection to other antimicrobial agents [42].

    The authors explored the membrane-associated mechanisms of resistance and observed an overexpression of an efflux pump immunorelated to AcrAB-tolC and a decrease in the expression of outer membrane proteins in adapted strains [45]. A diminution in the susceptibility of Serratia marcescens to antibiotics was also found after 50 sequential passages with a sub-inhibitory concentration of oregano essential oil, while the same was not observed for cinnamon essential oil or other bacteria, such as Proteus mirabilis, P. aeruginosa, or Morganella morganii [46]. The exposure of S. Enteritidis to trans-cinnamaldehyde and eugenol induced the upregulation of multiple antibiotic resistance (mar) locus genes by both compounds, and of efflux pump genes acrAB by eugenol, while the compounds downregulated the expression of outer membrane proteins [47]. The strains’ adaptation to natural compounds by the regulation of efflux pumps, and outer membrane proteins can be associated with an increased resistance to antibiotics, as antibiotic resistance also relies on these mechanisms.

    Some antimicrobial peptides are currently used as food preservatives, such as nisin and related compounds such as pediocin, which are secreted by lactic acid bacteria [48]. Nisin is a natural antimicrobial agent, which has been widely studied for food applications, namely, as a dairy preservative. It is Generally Recognized as Safe (GRAS) by the U.S. Food and Drug administration and suggested for use as an antimicrobial agent to inhibit the outgrowth of Clostridium botulinum spores and toxin formation in pasteurized cheese spreads [49][50]. In fact, nisin-resistant E. faecalis strains were less susceptible to various antibiotics, and a decrease in susceptibility to antibiotics was observed with the gradual reduction in nisin susceptibility [51].

    Beyond antibiotic resistance, bacterial adaptation to natural compounds may also lead to increased resistance to commonly used biocides. In fact, a study characterizing the adaptation of S. Typhimurium to sublethal concentrations of thymol, carvacrol, citral, and eugenol, showed increased cell resistance to the bactericidal activity of peracetic acid and didecyl dimethyl ammonium bromide [52].

    Although several works reported a cross-adaptation with natural compounds, other studies reported, that the continuous mode of use of eugenol and citral would not pose a risk of resistance for S. aureus or L. monocytogenes [53]. A similar behavior was observed for resveratrol [54]. Additionally, a short incubation with sub-inhibitory concentrations of thymoquinone, the main, biologically active component of the volatile oil of Nigella sativa seeds, increased the susceptibility of C. sakazakii to ampicillin and cefoxitin [55]. A similar trend was observed for multidrug-resistant S. enterica isolates from human outbreaks or from poultry origin, for which no direct-tolerance or cross-tolerance to ciprofloxacin were induced after habituation in sub-inhibitory concentrations of Origanum vulgare L. essential oil (½ or ¼ MIC for 24, 48, and 72 h) [56].

    3. Physical Methods of Food Processing That May Influence Antibiotic Susceptibility

    Throughout the food chain, bacteria are continually exposed to several factors, strategies and treatments that determine various chemical (acids, chlorine) and physical (heat, pressure and radiation) stresses, from primary production to food processing and preservation, as well as at-home preparation. As was clearly described in the study of Liao et al. (2020), the interplay of antibiotic resistance and stress tolerance of bacteria is crucial from a food safety perspective, because various food-processing technologies can sharpen the resistance of pathogenic bacteria in foods to a range of currently used antibiotics, and vice versa, which poses a potential risk to food safety and human health [7]. Following this, a comprehensive evaluation of the cross-resistance phenomenon associated with physical treatments was performed.

    In contrast, an adaptation to environmental heat stress (at 45 °C for 2 h) of one strain of L. monocytogenes with increased resistance to trimethoprim-sulfamethoxazole, tetracycline, chloramphenicol, penicillin, ampicillin, gentamicin, and rifampicin was reported, with a from two- to four-fold increase in the MIC. The authors concluded that, in L. monocytogenes, the stress responses to heat shock induced stress proteins [57]. The higher resistance exhibited is suggested to be due to alterations in the expression of porin channels, the induction of efflux pump expression, or to the expression and synthesis of stress proteins, especially sigma factors (RpoS and SigB, respectively, for Gram-positive and Gram-negative bacteria), which could be responsible for the reduction in susceptibility to a majority of the antibiotics. Moreover, an increased resistance of five strains of C. sakazakii to broad-spectrum antibiotics (streptomycin, gentamicin, kanamycin, neomycin, tetracycline, doxycycline, tilmicosin, florfenicol, ampicillin, amoxicillin, vancomycin, ciprofloxacin, and enrofloxacin) was reported under heat stress (55 °C for 5 min) by Al-Nabulsi et al.

    However, it should be mentioned that all the above-mentioned studies consider thermal stresses that could not be absolutely compared with the heat treatments routinely used in the food industry. For example, in the dairy industry, pasteurization and sterilization by Ultra-High Temperature (UHT) are thermal treatments of uncontested interest. (2020) investigated the presence of 1 genomic and 9 plasmid-mediated AMR genes in commercial pasteurized and UHT milk samples; a high prevalence of sul2 (67.9 and 42.6%), tetA (54.8 and 27.9%), tetM (31 and 26.5%), and blaTEM-1B (42.9 and 32.4%) was, respectively, detected in pasteurized and UHT milk, while mecA was not detected. This study resulted from a concern associated with the inability of pasteurization to destruct plasmid-mediated AMR genes and their possible horizontal transfer from pasteurized milk [58].

    Ultraviolet (UV) radiation uses physical energy, and it is a non-thermal and non-chemical technology used by the food industry for liquid and solid surface decontamination, to control foodborne pathogens and spoilage microorganisms, as well as viruses and protozoa. However, the repair mechanism of UV damage, especially by photoreactivation, is a major disadvantage of UV disinfection [59]. The germicidal effects of UV radiation mainly depend on the UV dose (J/m2) [60] and the removal effect of UV on various ARBs, even if selective, was much stronger than that of ARGs [61]. The commonly used dosages of UV do not guarantee the complete inactivation of ARGs, for which an effective removal occurs at a much higher UV fluence (>100 to extreme values of 200−400 mJ/cm2), for damaging DNA to avoid transformation [62][61][63].

    In the literature, microbial exposure to other common stresses belonging to decontamination and sanitation strategies is scarce, and the results of susceptibility to different antimicrobials in several foodborne pathogens, exposed to UV treatments, were affected by the investigated microorganism, the target antibiotic, the UV exposure and the contact time. (2017), a selective change in the inhibition zone diameters of surviving antibiotic-resistant E. coli and slight damage to ARGs were reported after UV exposure at 80 mJ/cm2. The genomic background of the strains seems to be important for the emergence of the variant strains: L. monocytogenes displayed several variants whereas, for other strains, it was not possible to identify AMR variants. Mechanistically, UV exposure caused oxidative stress in P. aeruginosa, inducing the dysregulation of genes, and contributing to the related antibiotic resistance genes, involving an elevated expression of the mexC gene, which encodes a protein of the MexCD-OprJ pump, which functions as a determinant of antimicrobial resistance to several clinical antimicrobials, such as ciprofloxacin and tetracycline, but not, for example, polymyxin B.

    In general, UV irradiation inactivates several ARBs and the selectivity of UV disinfection to ARB and ARGs might lead to an increase in specific ARB ratios [61][63]. In addition, tetracycline-resistant bacteria showed more tolerance to low UV fluence, owing to the fact that UV treatment has selectivity for bacterial antibiotic resistance [64]. In another study, UV radiation affected E. coli strains resistant to ciprofloxacin, but no changes to amoxicillin and sulfamethoxazole were observed, as well as no effective control of ARB spread [65]. AOPs seems to be more promising in terms of both the inactivation of resistant bacteria and their genetic material compared to conventional disinfection methods, such as chlorination or UV-C radiation, due to the superior oxidative effects of free radicals not only on nucleic acids but also in other biomolecules [66], even if there are still crucial gaps to be filled regarding the potential spread of AMR [62], and in antibiotic fermentation residues [67].

    Plasma technology belongs to AOP and is based on the ionization of a carrier gas through the application of electric discharges at atmospheric pressure and room temperature, with the consequent generation of electrons, ions, UV photons, charged particles, and free radicals (including reactive oxygen and nitrogen species), which cause direct effects that damage microbial cell membranes, DNA, and proteins [68]. (2018) found that the sublethal treatment of gas plasma decreased the MICs of MRSA against tetracycline, gentamicin, clindamycin, chloramphenicol, ciprofloxacin, rifampicin, and vancomycin and increased persisters eradication, along with increases in the levels of reactive oxygen species and reactive nitrogen species in MRSA cells [69]. and L. monocytogenes strains repeatedly exposed to sublethal non-thermal atmospheric plasma, accompanied by a gradual decrease in bacterial susceptibility in the investigated strains. In addition, the mapping of the genome of S. Typhimurium and the variant versus ciprofloxacin and streptomycin evidenced a common evolution for various generations, followed by a parallel divergent evolution, which gave rise to relevant phenotype shifts, with different genes harboring non-synonymous mutations in the resistant variants [68].

    4. Influence of Bacteriophage Application on Antibiotic Susceptibility

    Bacteriophage (phage) are the most abundant types of life on earth. They are completely dependent on their host for activity; therefore, they could be one of the most relevant biological stressors for bacteria, namely for foodborne bacteria [70][71][72].

    They are known to treat infections in humans and animals or even to be used in packaged foods, as an alternative to antimicrobial components [73]. The application of phage has been supported by its advantages, such as its presenting fewer adverse effects on commensal microbiota, being harmless to farm animals and humans, and its interesting effectiveness against antibiotic-resistant bacteria. The proper application of phage in the food chain, from farm to fork, can be considered as a replacement or complement of the use of antibiotics and pesticides. However, based on expert opinions, the route of administration, dosage, and type of phages are very important for the outcome of phage therapy.

    Phage may act on resistant bacteria or work synergistically with antibiotics; moreover, phage selection may also result in bacteria developing phage-resistance, simultaneously increasing susceptibility to antibiotics (trade-off) or leading to modifications associated with cross-resistance to antibiotics [70][74][75].

    In some studies, phage presented a trade-up on bacteria, and their use led to resistance against the same and other phages strains, as well as to antibiotics, due to the cross-resistance phenomenon. Reversely, the application of some antibiotics could also induce bacteria to resistance against phage. In contrast, other authors observed the trade-off between phage species and antibiotics and proposed an increased sensitivity to antibiotics under the influence of phage [70][75][76]. The authors showed that emerging resistance against one factor did not affect the emergence of resistance in another, with susceptibility to phages and antibiotics evolving independently [77].

    When a bacterium encounters a phage, it tries to survive by several known mechanisms, with some of them being able to influence the efficacy of antibiotics and confer resistance to them. Another important mechanism, which is involved in the antibiotic resistance induced by phage, is the transfer of ARGs between bacteria via transduction [77][78]. Another study showed that Klebsiella phages can lead to the overexpression of some genes in this bacterium, including aac(6′)-Ib-cr, which is responsible for aminoglycoside and quinolone resistance, and the vagC gene, which increases β-lactamase activity. Another investigation suggested that resistance against T6 phage infection in E. coli can induce cross-resistance against gentamicin, as tsx gene deletion, a gene that encodes the nucleotide channel used as a receptor by the phage, confers resistance to the phage and simultaneously increases resistance to gentamicin [77].

    The modification of LPS, possibly due to the stress pressures of phages infection or β-lactams exposure, changes the structure of porin (OmpF)-LPS complexes. Alterations in those structures contributes to resistance against phage or antibiotics. Therefore, resistance to one of them may fortuitously confer cross-resistance to the other one [70]. Conversely, T3 phage-resistant mutants can be developed following exposure to a sublethal dose of amoxicillin [70].

    (2020) also showed that the long-term exposure to phage OMKO1 can decrease the MIC level of antibiotic resistance in more than 60% for P. aeruginosa (Washington PAO1) against tetracycline, erythromycin, and ciprofloxacin by the reduction in efflux pump efficiency [79]. Supporting this, E. coli TLS phage-resistant mutants suffer a change in the AcrAB-TolC system that might pleiotropically lead to a loss of antibiotic resistance [74][80]. U136B phage also uses TolC as a receptor to infect E. coli, which was related to a trade-off between phage resistance and antibiotic resistance, with tolC mutants associated with phage-resistance being more sensitive to tetracycline and colistin in comparison to their parental strains. Meanwhile, a subset of the other phage-resistant mutants with LPS-related mutations showed decreased resistance to colistin, while presenting increased resistance to tetracycline, which indicates the variability in phage-antibiotic resistance interaction in bacteria [74][79].

    In sum, increasing knowledge of the interaction between bacteria and phage is necessary to evaluate phage application in the food chain and reduce the cross-resistance phenomena between antibiotics and phages. By accurately identifying candidate phages in each foodborne bacterium, with both trade-off and synergistic effects with a class of antibiotics, a therapeutic combination of both types of antibacterial agent can be developed against MDR bacteria. However, despite the progress in the understanding of associations between antibiotics and phage in natural environments, animal farms, and clinical populations, we still have little information in this regard. Therefore, in any phage therapy protocol and study, particular attention should be paid to cross-resistance, unexpected pleiotropy, and community evolution.

    The entry is from 10.3390/antibiotics10060671

    References

    1. World Health Organization. Estimating the Burden of Foodborne Diseases. Available online: (accessed on 20 April 2021).
    2. Caniça, M.; Manageiro, V.; Abriouel, H.; Moran-Gilad, J.; Franz, C.M.A.P. Antibiotic resistance in foodborne bacteria. Trends Food Sci. Technol. 2019, 84, 41–44.
    3. EFSA (European Food Safety Authority); ECDC (European Centre for Disease Prevention and Control). The European Union Summary Report on Antimicrobial Resistance in zoonotic and indicator bacteria from humans, animals and food in 2018/2019. EFSA J. 2021, 19, 6490.
    4. Capita, R.; Alonso-Calleja, C. Antibiotic-Resistant Bacteria: A Challenge for the Food Industry. Crit. Rev. Food Sci. Nutr. 2013, 53, 11–48.
    5. Doyle, M.P.; Busta, F.; Cords, B.R.; Davidson, P.M.; Hawke, J.; Hurd, H.S.; Isaacson, R.E.; Matthews, K.; Maurer, J.; Meng, J.; et al. Antimicrobial resistance: Implications for the food system. Compr. Rev. Food Sci. Food Saf. 2006, 5, 71–137.
    6. Begley, M.; Hill, C. Stress adaptation in foodborne pathogens. Annu. Rev. Food Sci. Technol. 2015, 6, 191–210.
    7. Liao, X.; Ma, Y.; Daliri, E.B.M.; Koseki, S.; Wei, S.; Liu, D.; Ye, X.; Chen, S.; Ding, T. Interplay of antibiotic resistance and food-associated stress tolerance in foodborne pathogens. Trends Food Sci. Technol. 2020, 95, 97–106.
    8. Kleiner, D.K.; Katz, S.E.; Ward, P.M.L. Development of in vitro antimicrobial resistance in bacteria exposed to residue level exposures of antimicrobial drugs, pesticides and veterinary drugs. Chemotherapy 2007, 53, 132–136.
    9. Bordas, A.C.; Brady, M.S.; Siewierski, M.; Katz, S.E. In vitro enhancement of antibiotic resistance development—Interaction of residue levels of pesticides and antibiotics. J. Food Prot. 1997, 60, 531–536.
    10. Pöppe, J.; Bote, K.; Merle, R.; Makarova, O.; Roesler, U. Minimum inhibitory concentration of glyphosate and a glyphosate-containing herbicide in Salmonella enterica isolates originating from different time periods, hosts, and serovars. Eur. J. Microbiol. Immunol. 2019, 9, 35–41.
    11. Pöppe, J.; Bote, K.; Ramesh, A.; Murugaiyan, J.; Kuropka, B.; Kühl, M.; Johnston, P.; Roesler, U.; Makarova, O. Selection for resistance to a glyphosate-containing herbicide in Salmonella enterica does not result in a sustained activation of the tolerance response or increased cross-tolerance and cross-resistance to clinically important antibiotics. Appl. Environ. Microbiol. 2020, 86, e01204-20.
    12. Fernandes, A.R.; Mortimer, D.; Rose, M.; Smith, F.; Steel, Z.; Panton, S. Recently listed Stockholm convention POPs: Analytical methodology, occurrence in food and dietary exposure. Sci. Total Environ. 2019, 678, 793–800.
    13. Zhou, Q.; Wu, W.; Lin, C.; Liang, H.; Long, C.; Lv, F.; Pan, J.; Liu, Z.; Wang, B.; Yang, X.; et al. Occurrence and dietary exposure assessment of pentachlorophenol in livestock, poultry, and aquatic foods marketed in Guangdong Province, China: Based on food monitoring data from 2015 to 2018. J. Food Sci. 2021, 86, 1132–1143.
    14. Muller, J.F.; Stevens, A.M.; Craig, J.; Love, N.G. Transcriptome analysis reveals that multidrug efflux genes are upregulated to protect Pseudomonas aeruginosa from pentachlorophenol stress. Appl. Environ. Microbiol. 2007, 73, 4550–4558.
    15. Xing, Y.; Wu, S.; Men, Y. Exposure to environmental levels of pesticides stimulates and diversifies evolution in Escherichia coli toward higher antibiotic resistance. Environ. Sci. Technol. 2020, 54, 8770–8778.
    16. Nasr, A.M.; Mostafa, M.S.; Arnaout, H.H.; Elshimy, A.A.A. The effect of exposure to sub-inhibitory concentrations of hypochlorite and quaternary ammonium compounds on antimicrobial susceptibility of Pseudomonas aeruginosa. Am. J. Infect. Control 2018, 46, e57–e63.
    17. Paul, D.; Chakraborty, R.; Mandal, S.M. Biocides and health-care agents are more than just antibiotics: Inducing cross to co-resistance in microbes. Ecotoxicol. Environ. Saf. 2019, 174, 601–610.
    18. Davin-Regli, A.; Pages, J.M. Cross-resistance between biocides and antimicrobials: An emerging question. OIE Rev. Sci. Tech. 2012, 31, 89–104.
    19. Yu, T.; Jiang, X.; Zhang, Y.; Ji, S.; Gao, W.; Shi, L. Effect of benzalkonium chloride adaptation on sensitivity to antimicrobial agents and tolerance to environmental stresses in Listeria monocytogenes. Front. Microbiol. 2018, 9, 2906.
    20. Mc Cay, P.H.; Ocampo-Sosa, A.A.; Fleming, G.T.A. Effect of subinhibitory concentrations of benzalkonium chloride on the competitiveness of Pseudomonas aeruginosa grown in continuous culture. Microbiology 2010, 156, 30–38.
    21. Fraud, S.; Campigotto, A.J.; Chen, Z.; Poole, K. MexCD-OprJ multidrug efflux system of Pseudomonas aeruginosa: Involvement in chlorhexidine resistance and induction by membrane-damaging agents dependent upon the AlgU stress response sigma factor. Antimicrob. Agents Chemother. 2008, 52, 4478–4482.
    22. Dodd, M.C. Potential impacts of disinfection processes on elimination and deactivation of antibiotic resistance genes during water and wastewater treatment. J. Environ. Monit. 2012, 14, 1754–1771.
    23. Obe, T.; Nannapaneni, R.; Sharma, C.S.; Kiess, A. Homologous stress adaptation, antibiotic resistance, and biofilm forming ability of Salmonella enterica serovar Heidelberg ATCC8326 on different food-contact surfaces following exposure to sublethal chlorine concentrations. Poult. Sci. 2018, 97, 951–961.
    24. Wang, H.; Wang, J.; Li, S.; Ding, G.; Wang, K.; Zhuang, T.; Huang, X.; Wang, X. Synergistic effect of UV/chlorine in bacterial inactivation, resistance gene removal, and gene conjugative transfer blocking. Water Res. 2020, 185, 116290.
    25. Potenski, C.J.; Gandhi, M.; Matthews, K.R. Exposure of Salmonella Enteritidis to chlorine or food preservatives increases susceptibility to antibiotics. FEMS Microbiol. Lett. 2003, 220, 181–186.
    26. Venieri, D.; Gounaki, I.; Bikouvaraki, M.; Binas, V.; Zachopoulos, A.; Kiriakidis, G.; Mantzavinos, D. Solar photocatalysis as disinfection technique: Inactivation of Klebsiella pneumoniae in sewage and investigation of changes in antibiotic resistance profile. J. Environ. Manag. 2017, 195, 140–147.
    27. Jutkina, J.; Marathe, N.P.; Flach, C.F.; Larsson, D.G.J. Antibiotics and common antibacterial biocides stimulate horizontal transfer of resistance at low concentrations. Sci. Total Environ. 2018, 616–617, 172–178.
    28. Nguyen, C.C.; Hugie, C.N.; Kile, M.L.; Navab-Daneshmand, T. Association between heavy metals and antibiotic-resistant human pathogens in environmental reservoirs: A review. Front. Environ. Sci. Eng. 2019, 13, 46.
    29. Al-Nabulsi, A.A.; Osaili, T.M.; Elabedeen, N.A.Z.; Jaradat, Z.W.; Shaker, R.R.; Kheirallah, K.A.; Tarazi, Y.H.; Holley, R.A. Impact of environmental stress desiccation, acidity, alkalinity, heat or cold on antibiotic susceptibility of Cronobacter sakazakii. Int. J. Food Microbiol. 2011, 146, 137–143.
    30. McMahon, M.A.S.; Xu, J.; Moore, J.E.; Blair, I.S.; McDowell, D.A. Environmental stress and antibiotic resistance in food-related pathogens. Appl. Environ. Microbiol. 2007, 73, 211–217.
    31. Komora, N.; Bruschi, C.; Magalhães, R.; Ferreira, V.; Teixeira, P. Survival of Listeria monocytogenes with different antibiotic resistance patterns to food-associated stresses. Int. J. Food Microbiol. 2017, 245, 79–87.
    32. EFSA Panel on Food Contact Materials; Enzymes and Processing Aids (CEP); Silano, V.; Baviera, B.; Manuel, J.; Bolognesi, C.; Brüschweiler, B.J.; Chesson, A.; Cocconcelli, P.S.; Crebelli, R.; et al. Evaluation of the safety and efficacy of the organic acids lactic and acetic acids to reduce microbiological surface contamination on pork carcasses and pork cuts. EFSA J. 2018, 16, 5482.
    33. Skandamis, P.N.; Stopforth, J.D.; Kendall, P.A.; Belk, K.E.; Scanga, J.A.; Smith, G.C.; Sofos, J.N. Modeling the effect of inoculum size and acid adaptation on growth/no growth interface of Escherichia coli O157:H7. Int. J. Food Microbiol. 2007, 120, 237–249.
    34. Samelis, J.; Sofos, J.N.; Kendall, P.A.; Smith, G.C. Effect of acid adaptation on survival of Escherichia coli O157:H7 in meat decontamination washing fluids and potential effects of organic acid interventions on the microbial ecology of the meat plant environment. J. Food Prot. 2002, 65, 33–40.
    35. Mani-López, E.; García, H.S.; López-Malo, A. Organic acids as antimicrobials to control Salmonella in meat and poultry products. Food Res. Int. 2012, 45, 713–721.
    36. Alonso-Calleja, C.; Guerrero-Ramos, E.; Alonso-Hernando, A.; Capita, R. Adaptation and cross-adaptation of Escherichia coli ATCC 12806 to several food-grade biocides. Food Control 2015, 56, 86–94.
    37. Gadea, R.; Glibota, N.; Pérez Pulido, R.; Gálvez, A.; Ortega, E. Effects of exposure to biocides on susceptibility to essential oils and chemical preservatives in bacteria from organic foods. Food Control 2017, 80, 176–182.
    38. McMahon, M.A.S.; Blair, I.S.; Moore, J.E.; Mc Dowell, D.A. The rate of horizontal transmission of antibiotic resistance plasmids is increased in food preservation-stressed bacteria. J. Appl. Microbiol. 2007, 103, 1883–1888.
    39. Combarros-Fuertes, P.; Fresno, J.M.; Estevinho, M.M.; Sousa-Pimenta, M.; Tornadijo, M.E.; Estevinho, L.M. Honey: Another alternative in the fight against antibiotic-resistant bacteria? Antibiotics 2020, 9, 774.
    40. Levinger, O.; Bikels-Goshen, T.; Landau, E.; Fichman, M.; Shapira, R. Epigallocatechin gallate induces upregulation of the two-component VraSR system by evoking a cell wall stress response in Staphylococcus aureus. Appl. Environ. Microbiol. 2012, 78, 7954–7959.
    41. Liu, X.; Shen, B.; Du, P.; Wang, N.; Wang, J.; Li, J.; Sun, A. Transcriptomic analysis of the response of Pseudomonas fluorescens to epigallocatechin gallate by RNA-seq. PLoS ONE 2017, 12, e0177938.
    42. Hammer, K.A.; Carson, C.F.; Rileya, T.V. Effects of Melaleuca alternifolia (tea tree) essential oil and the major monoterpene component terpinen-4-ol on the development of single- and multistep antibiotic resistance and antimicrobial susceptibility. Antimicrob. Agents Chemother. 2012, 56, 909–915.
    43. Hammer, K.A.; Carson, C.F.; Riley, T.V.; Nielsen, J.B. A review of the toxicity of Melaleuca alternifolia (tea tree) oil. Food Chem. Toxicol. 2006, 44, 616–625.
    44. McMahon, M.A.S.; Tunney, M.M.; Moore, J.E.; Blair, I.S.; Gilpin, D.F.; McDowell, D.A. Changes in antibiotic susceptibility in staphylococci habituated to sub-lethal concentrations of tea tree oil (Melaleuca alternifolia). Lett. Appl. Microbiol. 2008, 47, 263–268.
    45. Fadli, M.; Chevalier, J.; Hassani, L.; Mezrioui, N.E.; Pagès, J.M. Natural extracts stimulate membrane-associated mechanisms of resistance in Gram-negative bacteria. Lett. Appl. Microbiol. 2014, 58, 472–477.
    46. Becerril, R.; Nerín, C.; Gómez-Lus, R. Evaluation of bacterial resistance to essential oils and antibiotics after exposure to oregano and cinnamon essential oils. Foodborne Pathog. Dis. 2012, 9, 699–705.
    47. Johny, A.K.; Frye, J.G.; Donoghue, A.; Donoghue, D.J.; Porwollik, S.; McClelland, M.; Venkitanarayanan, K. Gene expression response of Salmonella enterica Serotype Enteritidis phage type 8 to subinhibitory concentrations of the plant-derived compounds trans-cinnamaldehyde and eugenol. Front. Microbiol. 2017, 8, 1828.
    48. Brul, S.; Coote, P. Preservative agents in foods: Mode of action and microbial resistance mechanisms. Int. J. Food Microbiol. 1999, 50, 1–17.
    49. Ibarra-Sánchez, L.A.; El-Haddad, N.; Mahmoud, D.; Miller, M.J.; Karam, L. Advances in nisin use for preservation of dairy products. J. Dairy Sci. 2020, 103, 2041–2052.
    50. U.S. Food & Drug Administration. Microorganisms & Microbial-Derived Ingredients Used in Food (Partial List). Available online: (accessed on 10 April 2021).
    51. Kumar, S.; Devi, S.; Sood, S.K.; Kapila, S.; Narayan, K.S.; Shandilya, S. Antibiotic resistance and virulence genes in nisin-resistant Enterococcus faecalis isolated from raw buffalo milk modulate the innate functions of rat macrophages. J. Appl. Microbiol. 2019, 127, 897–910.
    52. Dubois-Brissonnet, F.; Naïtali, M.; Mafu, A.A.; Briandet, R. Induction of fatty acid composition modifications and tolerance to biocides in Salmonella enterica serovar Typhimurium by plant-derived terpenes. Appl. Environ. Microbiol. 2011, 77, 906–910.
    53. Apolónio, J.; Faleiro, M.L.; Miguel, M.G.; Neto, L. No induction of antimicrobial resistance in Staphylococcus aureus and Listeria monocytogenes during continuous exposure to eugenol and citral. FEMS Microbiol. Lett. 2014, 354, 92–101.
    54. Oliveira, A.R.; Domingues, F.C.; Ferreira, S. The influence of resveratrol adaptation on resistance to antibiotics, benzalkonium chloride, heat and acid stresses of Staphylococcus aureus and Listeria monocytogenes. Food Control 2017, 73, 1420–1425.
    55. Chen, Y.; Wen, Q.; Chen, S.; Guo, D.; Xu, Y.; Liang, S.; Xia, X.; Yang, B.; Shi, C. Effect of thymoquinone on the resistance of Cronobacter sakazakii to environmental stresses and antibiotics. Food Control 2020, 109, 106944.
    56. Monte, D.F.M.; Tavares, A.G.; Albuquerque, A.R.; Sampaio, F.C.; Oliveira, T.C.R.M.; Franco, O.L.; Souza, E.L.; Magnani, M. Tolerance response of multidrug-resistant Salmonella enterica strains to habituation to Origanum vulgare L. essential oil. Front. Microbiol. 2014, 5, 721.
    57. Faezi-Ghasemi, M.; Kazemi, S. Effect of sub-lethal environmental stresses on the cell survival and antibacterial susceptibility of Listeria monocytogenes PTCC1297. Zahedan J. Res. Med. Sci. 2014, 17, e1915.
    58. Taher, E.M.; Hemmatzadeh, F.; Aly, S.A.; Elesswy, H.A.; Petrovski, K.R. Molecular characterization of antimicrobial resistance genes on farms and in commercial milk with emphasis on the effect of currently practiced heat treatments on viable but nonculturable formation. J. Dairy Sci. 2020, 103, 9936–9945.
    59. Guo, M.; Huang, J.; Hu, H.; Liu, W.; Yang, J. UV inactivation and characteristics after photoreactivation of Escherichia coli with plasmid: Health safety concern about UV disinfection. Water Res. 2012, 46, 4031–4036.
    60. Delorme, M.M.; Guimarães, J.T.; Coutinho, N.M.; Balthazar, C.F.; Rocha, R.S.; Silva, R.; Margalho, L.P.; Pimentel, T.C.; Silva, M.C.; Freitas, M.Q.; et al. Ultraviolet radiation: An interesting technology to preserve quality and safety of milk and dairy foods. Trends Food Sci. Technol. 2020, 102, 146–154.
    61. Zhang, G.; Li, W.; Chen, S.; Zhou, W.; Chen, J. Problems of conventional disinfection and new sterilization methods for antibiotic resistance control. Chemosphere 2020, 254, 126831.
    62. Fiorentino, A.; Ferro, G.; Alferez, M.C.; Polo-López, M.I.; Fernández-Ibañez, P.; Rizzo, L. Inactivation and regrowth of multidrug resistant bacteria in urban wastewater after disinfection by solar-driven and chlorination processes. J. Photochem. Photobiol. B Biol. 2015, 148, 43–50.
    63. Umar, M.; Roddick, F.; Fan, L. Moving from the traditional paradigm of pathogen inactivation to controlling antibiotic resistance in water—Role of ultraviolet irradiation. Sci. Total Environ. 2019, 662, 923–939.
    64. Guo, M.T.; Yuan, Q.-B.; Yang, J. Ultraviolet reduction of erythromycin and tetracycline resistant heterotrophic bacteria and their resistance genes in municipal wastewater. Chemosphere 2013, 93, 2864–2868.
    65. Rizzo, L.; Fiorentino, A.; Anselmo, A. Advanced treatment of urban wastewater by UV radiation: Effect on antibiotics and antibiotic-resistant E. coli strains. Chemosphere 2013, 92, 171–176.
    66. Arslan-Alaton, I.; Karatas, A.; Pehlivan, Ö.; Ucun, O.K.; Ölmez-Hancı, T. Effect of UV-A-assisted iron-based and UV-C-driven oxidation processes on organic matter and antibiotic resistance removal in tertiary treated urban wastewater. Catal. Today 2021, 361, 152–158.
    67. Chu, L.; Chen, D.; Wang, J.; Yang, Z.; Yang, Q.; Shen, Y. Degradation of antibiotics and inactivation of antibiotic resistance genes (ARGs) in Cephalosporin C fermentation residues using ionizing radiation, ozonation and thermal treatment. J. Hazard. Mater. 2020, 382, 121058.
    68. Álvarez-Molina, A.; de Toro, M.; Ruiz, L.; López, M.; Prieto, M.; Alvarez-Ordóñez, A. Selection for antimicrobial resistance in foodborne pathogens through exposure to UV light and nonthermal atmospheric plasma decontamination techniques. Appl. Environ. Microbiol. 2020, 86.
    69. Guo, L.; Xu, R.; Zhao, Y.; Liu, D.; Liu, Z.; Wang, X.; Chen, H.; Kong, M.G. Gas plasma pre-treatment increases antibiotic sensitivity and persister eradication in methicillin-resistant Staphylococcus aureus. Front. Microbiol. 2018, 9, 537.
    70. Zuo, P.; Yu, P.; Alvarez, P.J.J. Beta-lactam-induced outer membrane alteration confers E. coli a fortuitous competitive advantage through cross-resistance to bacteriophages. Environ. Sci. Technol. Lett. 2020, 7, 428–433.
    71. Breitbart, M.; Bonnain, C.; Malki, K.; Sawaya, N.A. Phage puppet masters of the marine microbial realm. Nat. Microbiol. 2018, 3, 754–766.
    72. Clokie, M.R.J.; Millard, A.D.; Letarov, A.V.; Heaphy, S. Phages in nature. Bacteriophage 2011, 1, 31–45.
    73. Lin, D.M.; Koskella, B.; Lin, H.C. Phage therapy: An alternative to antibiotics in the age of multi-drug resistance. World J. Gastrointest. Pharmacol. Ther. 2017, 8, 162–173.
    74. Burmeister, A.R.; Fortier, A.; Roush, C.; Lessing, A.J.; Bender, R.G.; Barahman, R.; Grant, R.; Chan, B.K.; Turner, P.E. Pleiotropy complicates a trade-off between phage resistance and antibiotic resistance. Proc. Natl. Acad. Sci. USA 2020, 117, 11207–11216.
    75. Chan, B.K.; Sistrom, M.; Wertz, J.E.; Kortright, K.E.; Narayan, D.; Turner, P.E. Phage selection restores antibiotic sensitivity in MDR Pseudomonas aeruginosa. Sci. Rep. 2016, 6, 26717.
    76. Kim, M.; Jo, Y.; Hwang, Y.J.; Hong, H.W.; Hong, S.S.; Park, K.; Myung, H. Phage-antibiotic synergy via delayed lysis. Appl. Environ. Microbiol. 2018, 84, e02085-18.
    77. Allen, R.C.; Pfrunder-Cardozo, K.R.; Meinel, D.; Egli, A.; Hall, A.R. Associations among antibiotic and phage resistance phenotypes in natural and clinical Escherichia coli isolates. MBio 2017, 8, e01341-17.
    78. Gómez-Gómez, C.; Blanco-Picazo, P.; Brown-Jaque, M.; Quirós, P.; Rodríguez-Rubio, L.; Cerdà-Cuellar, M.; Muniesa, M. Infectious phage particles packaging antibiotic resistance genes found in meat products and chicken feces. Sci. Rep. 2019, 9, 13281.
    79. Gurney, J.; Pradier, L.; Griffin, J.S.; Gougat-Barbera, C.; Chan, B.K.; Turner, P.E.; Kaltz, O.; Hochberg, M.E. Phage steering of antibiotic-resistance evolution in the bacterial pathogen, Pseudomonas aeruginosa. Evol. Med. Public Health 2020, 2020, 148–157.
    80. German, G.J.; Misra, R. The TolC protein of Escherichia coli serves as a cell-surface receptor for the newly characterized TLS bacteriophage. J. Mol. Biol. 2001, 308, 579–585.
    More