List of genes with significant role in biofilm formation within pathogenic microorganisms (UniprotKB database).
\r\n\t
\r\n\tRecently in 2019, International Council on Systems Engineering (INCOSE) has released the latest version of the “Guidelines for the Utilization of ISO/IEC/IEEE 15288 in the Context of System of Systems (SoS) Engineering” to industry for review and comments. The document was developed under the Partner Standards Development Organization cooperation agreement between ISO and IEEE, as it was approved by Council Resolution 49/2007. This document provides guidance for the utilization of ISO/IEC/IEEE 15288 in the context of SoS in many domains, including healthcare, transportation, energy, defense, corporations, cities, and governments. This document treats an SoS as a system whose elements are managerially and/or operationally independent systems, and which together usually produce results that cannot be achieved by the individual systems alone. This INCOSE guide book perceives that SoS engineering demands a balance between linear procedural procedures for systematic activity and holistic nonlinear procedures due to additional complexity from SoS perspectives.
\r\n\tThe objective of this book is to provide a comprehensive reference on Systems-of-Systems Engineering, Modeling, Simulation and Analysis (MS&A) for engineers and researchers in both system engineering and advanced mathematical modeling fields.
\r\n\tThe book is organized in two parts, namely Part I and Part II. Part I presents an overview of SOS, SOS Engineering, SOS Enterprise Architecture (SOSEA) and SOS Enterprise (SOSE) Concept of Operations (CONOPS). Part II discusses SOSE MS&A approaches for assessing SOS Enterprise CONOPS (SOSE-CONOPS) and characterizing SOSE performance behavior. Part II focuses on advanced mathematical application concepts to address future complex space SOS challenges that require interdisciplinary research involving game theory, probability and statistics, non-linear programming and mathematical modeling components.
\r\n\tPart I should include topics related to the following areas:
\r\n\t- SOS and SOS Engineering Introduction
\r\n\t- Taxonomy of SOS
\r\n\t- SOS Enterprise (SOSE), SOSE CONOPS, Architecture Frameworks and Decision Support Tools
\r\n\tPart II should address the following research areas:
\r\n\t- SOS Modeling, Simulation & Analysis (SOS M&SA) Methods
\r\n\t- SOS Enterprise Architecture Design Frameworks and Decision Support Tools
\r\n\t- SOS Enterprise CONOPS Assessment Frameworks and Decision Support Tools.
Demographic trends show a dramatic increase in the elderly population; unfortunately this group showed a higher prevalence of chronic diseases worldwide, becoming a serious public health problem in both developed and developing countries [1, 2]. The increasing aging population phenomenon in association with chronic diseases has several repercussions: economic, social, and medical. Among these chronic diseases, the most prominent for occupying the first places in epidemiological studies are: cardiovascular, cerebrovascular, diabetes, cancer, and dementias [2, 3].
Diabetes mellitus (DM) is a complex and heterogeneous group characterized by hyperglycemia. In 2015, there were 415 million people with diabetes worldwide and this number is expected to increase to 642 million by 2040 [4, 5]. The major risk factors in DM are eating a diet high in fats and simple sugars coupled with sedentary lifestyle [3]. On the other hand, Alzheimer’s disease (AD) is the most common dementia worldwide [6].
Several studies have produced epidemiological, clinical, and pathological evidence of the relationship between AD and DM [7, 8]. It has been reported that patients with diabetes have a 50–75% increased risk of developing AD compared with age- and gender-matched patients without diabetes [9]. In fact, both entities share metabolic dysfunctions associated with different pathological developments [10].
DM is a chronic disease characterized by the absolute or relative shortage of insulin, leading to chronic hyperglycemia, which results either in the progressive failure of pancreatic β-cell function and consequently a lack of insulin production (type 1 diabetes, T1DM) or in the development of insulin resistance and subsequently the loss in β-cell function (type 2 diabetes, T2DM) [4, 11]. Examination of diagnoses reveals that AD is by far the most common cause of dementia among people with T2DM (e.g., 91%) [12]; the insulin resistance in this metabolic disease is not yet clear, but obesity and age are the major risk factors [13, 14].
AD is the most common dementing disorder of late life, characterized by progressive loss of cholinergic neurons and a devastating cognitive decline [10]. The two major histopathological features of AD are: (1) amyloid plaques and (2) neurofibrillary tangles (NFTs). Amyloid plaques are composed of β-amyloid (Aβ) peptide, produced by the proteolytic cleavage of the amyloid precursor protein (APP) [9]. On the other hand, truncated and phosphorylated tau protein is the main component in the NFT and the amount of these aggregates correlates with cognitive impairment [15]. In AD, abnormal tau aggregates are present in the cell body and proximal dendrites [16].
Research studies, using animal models have identified mechanisms that are shared by T2DM and AD [7]. AD pathology has been evaluated extensively in two widely available T2DM spontaneous models: Bio-Breeding Zucker diabetic rat/Wor rats and db/db mice. They observed an increase in tau phosphorylation and cleavage, which is known to be particularly toxic to neurons and forms the nucleation for NFT [9]. The hyperglycemia in T2DM induces an increase in advanced glycation end products (AGEs), and these molecules also accumulate with aging and dementia [17, 18]. AGEs promote Aβ aggregation and cytotoxicity [19], while glycation of tau promotes their aggregation [20].
A fat and simple sugars-rich diet, coupled with sedentary lifestyle, is also a strong risk factor associated with another disorder known as metabolic syndrome (MS), characterized by abdominal obesity, dyslipidemias, high blood pressure, hyperglycemia, insulin resistance, and high body mass index [21, 22, 23]. Since many of the characteristic features of MS, including insulin resistance, obesity, dyslipidemia, and high blood pressure, are risk factors not only for DM and cardiovascular disease but also for AD [24], this review will focus on the common mechanisms involved in the development of these diseases.
Metabolic syndrome is a complex disorder defined by a cluster of interconnected factors that increase the risk of cardiovascular atherosclerotic diseases and T2DM [25]. MS is also associated with various cardiometabolic risk factors modulated by several environmental conditions, mainly an inadequate diet and physical inactivity [26]. The syndrome presents simultaneously with insulin resistance, alterations in blood glucose levels, hypertension, triglycerides above normal, levels below recommended of high density lipoprotein (cHDL), and visceral obesity [22]. The process starts with an inadequate diet as well as a sedentary life, which induce the development of obesity, usually with episodes of hyperinsulinemia, which in turn can produce insulin resistance due to the blockade of insulin receptors and glucose transporters, with the presence of high levels of fatty acids and glucose in the extracellular space (associated with DM), associated with hypertension and low synthesis and increased triglyceride catabolism. There are also dyslipidemias due to the inability to inhibit lipolysis in fatty tissues, with an increase in low-density lipoprotein (cLDL) and a decrease in cHDL. Finally, obesity develops due to the continuous increase in visceral fat, a permanent pro-inflammatory state, and endothelial dysfunction [27].
The etiology of MS is attributed to the combination of genetic and environmental factors associated with lifestyles.
Obesity is “a chronic, relapsing, multifactorial, neurobehavioral disease, wherein an increase in body fat promotes adipose tissue dysfunction and abnormal fat mass physical forces, resulting in adverse metabolic, biomechanical, and psychosocial health consequences.” Includes the increase and accumulation of fat at the visceral level (fatty tissue deposit mainly in the liver, intestine and pancreas), the tissue is rich in macrophages; adipocytes produce a variety of biologically active molecules, known together as adipokines [28].
Dyslipidemia is a disorder of lipoprotein metabolism, including lipoprotein overproduction or deficiency. Dyslipidemias may be manifested by elevation of the total cholesterol, the “bad” cLDL cholesterol and the triglyceride concentrations, and a decrease in the “good” cHDL cholesterol concentration in the blood. Dyslipidemia has been attributed to the inability of insulin to inhibit lipolysis at the level of adipose tissue, which leads to an increase in the release of free fatty acids and a greater contribution of these to the liver, inducing increased apolipoprotein B secretion [29].
Hypertension, also known as high or raised blood pressure, is a condition in which the blood vessels have persistently raised pressure. Hypertension is produced as a consequence of the effects of the hyperinsulinemia. The blood pressure rises, due to an increase in the reabsorption of sodium and water in the renal proximal tubule. Hyperinsulinemia also increases peripheral vascular resistance and increases the activation of the sympathetic system with the consequent increase in circulating catecholamines and stimulation of the renin angiotensin-aldosterone system [30].
Hyperglycemia is the technical term for high blood glucose blood sugar. High blood sugar happens when the body has too little insulin or when the body cannot use insulin properly. This poor insulin secretion or action is due to lipotoxicity of the pancreatic β cells, since the excessive accumulation of triglycerides in pancreatic islets increases the expression of the inducible nitric oxide synthase (iNOS) enzyme, increasing nitric oxide levels and producing impaired function and finally apoptosis. The β cells, progressively losing its ability to compensate the insulin resistance with more insulin secretion, and finally increasing blood glucose levels [31].
Insulin resistance is defined clinically as the inability of a known quantity of exogenous or endogenous insulin to increase glucose uptake and utilization in an individual as much as it does in a normal population. Insulin action is the consequence of insulin binding to its plasma membrane receptor and the signal is transmitted through the cell by a series of protein–protein interactions. Classically, this refers to impaired sensitivity to insulin-mediated glucose disposal. Compensatory hyperinsulinemia occurs when pancreatic β cell secretion increases to maintain normal blood glucose levels in the setting of peripheral insulin resistance in muscle and adipose tissue [32].
Pro-inflammatory states acute and chronic hyperglycemias are pro-inflammatory states, central obesity and insulin resistance being implicated in its etiology. Adipose tissue is biologically active as an endocrine and paracrine organ. Adipocytes undergo hypertrophy and hyperplasia in response to nutritional excess that can lead the cells to outgrow their blood supply with induction of a hypoxic state. Hypoxia can lead to cell necrosis with macrophage infiltration and the production of adipokines, which include the pro-inflammatory mediators interleukin-6 (IL-6) and tumor necrosis factor alpha (TNF-α), as well as the prothrombotic mediator plasminogen activator inhibitor-1 (PAI-1, [33]). These mediators induce an oxidative stress and endothelial dysfunction, and nitric oxide (NO) regulates the vascular tone by activating guanylate cyclase and increasing the 3′5′-guanosine monophosphate and inhibits platelet activity. When there is an excessive production of superoxide anion, the bioavailability of NO decreases due to their oxidative inactivation in the vascular wall [34].
The diagnostic criteria of the MS have been subject to many definitions, such as those of World Health Organization (WHO), Adult Treatment Panel III of the National Cholesterol Education Program (ATP III), International Diabetes Federation (IDF), American Heart Association (AHA) and others. However, a new global definition of the metabolic syndrome was proposed by the IDF where obesity represents a necessary requirement for the diagnosis of MS. Once the obesity is confirmed, the diagnosis continues with the presence of two or more parameters such as decrease in cHDL and increase in triglyceride, blood pressure and blood glucose [35, 36, 37]. However, even with a good diagnosis for MS, in most cases the treatment is inadequate [38].
Several MS components are present in AD and T2DM, including insulin resistance, obesity, dyslipidemia, and high blood pressure [24]. These common mechanisms are required to be analyzed deeper, and how each one of them contributes in all these pathologies should be described.
AD and T2DM are amyloid forming diseases characterized by the presence of insoluble protein aggregates with a fibrillary conformation in brain and pancreas, respectively [39].
The presence of proteinaceous plaques that primarily comprise islet amyloid polypeptide (IAPP, one of the major secretory products of the pancreatic β-cells) is found in the majority of patients (approximately 90%) with T2DM [40]. Although it is not clear why normally soluble IAPP can form toxic aggregates, the evidence suggests that the presence of an amyloidogenic sequence in the IAPP molecule could increase the IAPP production/secretion from β-cells associated with elevated insulin demand and abnormalities in trafficking/processing of pro-IAPP contribute to aggregation in T2DM, causing cellular dysfunction and consequent membrane disruption, channel formation and toxicity [41]. Further, several groups have found that Aβ1–42 and IAPP forms form early intermediate assemblies as spherical oligomers, implicating a common folding pattern (Figure 1, [42]).
Common ways of amyloid toxicity in Alzheimer’s disease and type 2 diabetes mellitus. Insoluble protein aggregates with a fibrillary conformation are present in both entities, causing cell death in neurons and β-cells of brain and pancreas, respectively.
In addition to T2DM (insulin resistance), T1DM (insulin deficiency) shares mechanisms with AD, and researchers have called the set of these characteristics type 3 diabetes. Defects in insulin signaling causes alterations in glucose metabolism and leads to an energy imbalance causing the production of reactive oxygen species (ROS), DNA damage, and mitochondrial dysfunction; all these cascades lead to pro-apoptosis, pro-inflammatory and production of toxic peptides (tau and Aβ) [43].
Insulin regulates glucose metabolism in peripheral tissues and also affects brain functions including cognition, memory, and synaptic plasticity through complex insulin/insulin receptor (IR) signaling pathways [44]. Insulin resistance in the brain is presented by reduced levels of insulin and insulin growth factor (IGF) receptors. Insulin and IGF deficiency are associated with an altered expression of insulin and IGF polypeptides in the brain and cerebrospinal fluid (CSF), which causes accumulation of Aβ [45]. On the other hand, chronic peripheral hyperinsulinemia and central insulin resistance can modulate tau phosphorylation, and with the loss of insulin-like growth factor 1 (IGF-1) signaling, an increase in tau hyperphosphorylation and NFT formation has been observed [46]. Through the inhibition of insulin signaling, Akt kinase is also inhibited, which in turn activates the glycogen synthase kinase 3β (GSK3ß), probably causing an increase of tau phosphorylation and altering its binding to microtubules [9].
Insulin degrading enzyme (IDE) is a major factor responsible for insulin degradation. However, IDE degrades other targets like glucagon, atrial natriuretic peptide, and Aβ, and this could be another connection between T2DM and AD. The decrease of IDE in the hippocampus has been associated with a greater susceptibility of this region to the accumulation of Aβ (Figure 2, [47]).
Abnormal clearance of toxic species of β-amyloid by insulin degrading enzyme. Hippocampus with decreased levels of insulin degrading enzyme (IDE) leads to Aβ accumulation, which blocks the insulin receptor signaling, altering synaptic plasticity and architecture of dendritic spines.
The T2DM patients have chronic hyperglycemia with an impaired glucose metabolism (poor glucose transport), altering neuronal cell and their metabolism contribute to AD. In patients with AD, a decrease in glucose metabolism has been observed, typically identified with fluorodeoxyglucose positron emission tomography (PET), even before clinical symptoms of dementia were present [48].
Deficits in glucose metabolism might also potentiate the neuronal cell death produced by other pathological processes (such as abnormal cholesterol metabolism or high levels of Aβ), which in turn might be influenced by genetic predisposition such as possession of Apolipoprotein E ε4 (APOE ε4) alleles [49].
It is generally accepted that many DM complications are potentiated or initiated by the accumulation of specific forms of AGEs and their interaction with its receptors (RAGE). The AGEs are molecules (including peptides and proteins) formed as a result of the Maillard reaction. In T2DM, periods of hyperglycemia induce an increase in AGEs formation, although these molecules also accumulate with aging accelerated formation [17, 18]. AGEs promote Aβ aggregation and cytotoxicity [19] and glycation of tau may enhance their aggregation as well [20].
Cholesterol may be directly involved in Aβ aggregation, by abnormal oxidative metabolites such as cholesterol-derived aldehydes, which can promote the amyloidogenesis process. Also, it was observed that APOE ε4, cholesterol, and Aβ are components of the amyloid plaques both in humans and animal models of AD. Further, low levels of cholesterol affect APP metabolism, with an increase in the secretion of soluble APP, a non-amyloidogenic soluble N-terminal derivative, also found in human CSF [50].
The mechanism for the association between obesity and dementia is still far from being understood. Whitmer et al. alluded to the involvement of adiposity with inflammation and its markers [51] while Liu et al. report that obesity also has been related with defective brain insulin signaling in experimental models and postmortem brains [52]. This is important because there have been several reports where insulin regulates synaptic plasticity through altering internalization of neurotransmitter receptors, in the cortex and hippocampus, which are regions of the brain generally associated with learning and memory, respectively [14, 53]. Therefore, alterations in synaptic plasticity may be associated to tau pathology, through a direct abnormal interaction of pathological tau species with synaptic proteins but also indirectly through tau-activated neuroinflammatory processes [54].
Another possible mechanism linking obesity with dementia is the oxidative stress, resulting from an increased intake of sugars and fats, which is the hallmark of the modern diet [55, 56]. Rats maintained on a diet high in refined sugar and rich in fat generated higher concentrations of free radicals [51]. Inflammatory processes promote vascular complications in obesity, T2DM, and AD. The primary regulator of this response is NF-κB, and in these pathologies there is an increase of the NF-κB family of transcription factors. In AD, the reactive astrocytes in close proximity to the Aβ plaques produce inflammatory cytokines, including IL-1β and TNF-α, and inducible iNOS, which generate free radicals such as NO, that can be neurotoxic [38].
Mice that have been chronically subjected to high blood pressure show deposition of amyloid aggregates and loss of memory when they are examined in specific tasks. Besides this, the hypertensive challenge increases the expression of RAGE, leading to Aβ deposition and learning impairment [57, 58].
A few autopsy studies have showed that the severity of AD pathology is increased by the presence of cerebrovascular damage, which is strongly linked to hypertension [58, 59].
Chronic hypertension induced vascular abnormalities in the brain, such as increased vascular stiffness, and decreased vessel wall plasticity; this alters arterial pulsations, disturbing the glymphatic system and leading to a significant increase of Aβ deposition in the brain parenchyma [60]. The glymphatic system is a macroscopic waste clearance system that utilizes a unique system of perivascular tunnels, formed by astroglial cells, to promote efficient elimination of soluble proteins and metabolites from the central nervous system [61].
Cerebral amyloid angiopathy has been shown to interact with amyloid plaques and NFT and to increase the severity of cognitive impairment beyond that seen in people with each histopathological feature separately [62].
There are several mechanisms in common between AD and T2DM, and a better understanding of their interrelation would contribute to upgrade the control of these diseases. Working in this direction will be important in order to identify new therapeutic or common targets, especially before the most severe symptoms of both pathologies occur. In addition to better management of the patients, this will improve the patient’s quality of life.
The authors declare no conflict of interest.
Food matrices having water activities above 0.9 and wet food processing environments are wonderlands for microorganism multiplication and biofilm development. Biofilms are considered of great concern in regard to functioning of mechanical parts that may be blocked, to energy consumption, which becomes higher when heat transfer decreases, and to corrosion as corrosion rate of surfaces increases underneath biofilms (corrosion grows 10–1000 times faster causing loss of material and increasing porosity) but their presence in food and food processing environments is also a serious public health risk due to problems associated with foodborne illnesses and food spoilage [1].
\nThe biofilms that are threatening the safety of food products are produced by some pathogenic bacteria such as Listeria monocytogenes, Escherichia coli, Salmonella enterica, Campylobacter jejuni, and Pseudomonas aeruginosa and toxigenic bacteria such as Staphylococcus aureus and Bacillus cereus [2]. Biofilms are responsible for persistence of such bacteria in food processing environments and (re)contamination of processed foods [3]. When contamination of food products happens, recalls are necessary. These actions present large economic burden to industry and are also associated with brand damage.
\nBiofilms are formed on all types of surfaces existing in food plants ranging from plastic, glass, metal, cement, to wood and food products [4]. Usually, biofilms form a monolayer or more often multilayers, in which bacteria may undergo a significant change in physiology with an increased tolerance to environmental stresses [5].
\n\nL. monocytogenes, the pathogen that proliferates at low temperatures, is able either to form pure culture biofilms or to grow in multispecies biofilms [6]. Prevalent strains in food processing environments have good adhesion ability due to the presence of flagella, pili, and membrane proteins [7]. Composition of biofilms produced by L. monocytogenes is different in comparison with that produced by other bacteria. For example, exopolysaccharides like alginate in Pseudomonas or poly-N-acetylglucosamine in Staphylo-coccus have not been put into evidence [8].
\n\nSalmonella spp. express proteinaceous extracellular fibers called curli that are involved in surface and cell-cell contacts and promotion of community behavior and host colonization [9]. Besides curli, different fimbrial adhesins have been identified to have implications in biofilm formation, dependent of serotype. The presence of cellulose in the biofilm matrix contributes to cells’ resistance to mechanical forces and improved adhesion to abiotic surfaces [10]. Significant differences between serovars were put into evidence regarding biofilm formation the most persistent in food processing environments being the ones that are capable to form biofilms [11].
\nFlagella, pili, and membrane proteins are also used by E. coli to initiate attachment on inanimate surfaces. Flagella are lost after attachment and bacteria start producing an extracellular polymeric substance (EPS) that provides a better resistance of bacteria to disinfectants as hypochlorite [12]. Similarities in biofilm structure and composition as well as regulatory mechanisms with Salmonella spp. have been demonstrated for E. coli, mostly in terms of expression of small RNAs leading to a change in bacterial physiology regarding the cell motility and production of curli or EPS [13].
\nIn general terms, different E. coli serotypes have been reported to enhance flexibility and adaptability in forming biofilms when exposed to different stresses. For example, E. coli seropathotype A isolates associated with human infection, O157:H7 and O157:NM, showed greater ability to form biofilms than those belonging to seropathotype B or C associated with outbreaks and hemolytic-uremic syndrome (HUS) or sporadic HUS cases but no epidemics, respectively [14]. In addition, synergistic interactions are taking place in a fresh-cut produce processing plant in which E. coli is interacting with Burkholderia caryophylli and Ralstonia insidiosa with the formation of mixed biofilms [15].
\n\nC. jejuni, which is known as an anaerobic bacterium, is able to develop biofilms both in microaerophilic conditions (5% O2 and 10% CO2) and in aerobic conditions (20% O2) [1]. The cells embedded in the biofilm matrix are better protected from oxygen and survive for days in food processing environments [1].
\n\nPseudomonas spp. produce high amounts of EPS and have been shown to attach and form biofilms on stainless steel surfaces. They coexist within biofilms with Listeria, Salmonella, and other pathogens forming multispecies biofilms, more stable and resistant [6].
\n\nB. cereus is a cause of biofilm formation on many food contact surfaces such as conveyor belts, stainless steel pipes, and storage tanks [16], but it is also able to form immersed or floating biofilms, and to secrete within the biofilm a vast array of metabolites, surfactants, bacteriocins, enzymes as lipases and proteases affecting the sensorial qualities of foods, and toxins. For floating biofilms, the production of kurstakin, a lipopeptide biosurfactant, that is regulated via quorum sensing (QS) signaling is important [17].
\nWithin the biofilm, B. cereus exists either in vegetative or in sporal form, the spores being highly resistant and adhesive, properties that increase the resistance of the bacterium to antimicrobials and cleaning procedures.
\nFour mechanisms based on the flagellar motility of B. cereus are described as being involved in biofilm formation. The first mechanism is used in static conditions when the bacterium must reach on its own suitable places for biofilm formation [18], at the air-liquid interface. The second one is represented by the creation of channels in the biofilm matrix to facilitate nutrients’ access on one hand and penetration of toxic substances on the other hand [19]. The third mechanism refers to motile planktonic bacteria that penetrate the biofilm and increase its biomass [18, 19], while the fourth represents the extension of the biofilm based on the ability of motile bacteria located at the edge of the biofilm to colonize the surroundings [18].
\nIt has been showed that, in its planktonic form, S. aureus does not appear resistant to disinfectants, compared to other bacteria, but it may be among the most resistant ones when attached to a surface [20]. It seems that different stress-adaptive responses may enhance biofilm formation, with certain differences in terms of their composition and architecture, especially for the wild-type biofilms colonizing the food and related processing environments. Examples include protein-based sources responsible for the structure of biofilms formed by S. aureus of food origin [21] similar to those put into evidence for the coagulase-negative ones. However, other studies demonstrated that simple carbohydrates, such as milk lactose, can modulate the biofilm formation especially by inducing the production of polysaccharide intercellular adhesins [22].
\nOver time, beside the conditions that favor the biofilm formation in food processing plants, the genetic background of biofilm forming microorganisms was also intensively studied. At each step of biofilm development and dispersal, there is a specific genetic signal control.
\nThe L. monocytogenes pattern of the microarray gene expression was analyzed at different time intervals (4, 12, and 24 h) in order to depict genes’ expression at different stages of biofilm formation. The results showed that more than 150 genes were upregulated after 4 h of biofilm formation and a total of 836 genes highlighted a slow increase in expression with time [23]. Although for many bacterial species the genome sequencing allowed the identification of genes that were involved in biofilm synthesis, for L. monocytogenes, these genes could not be identified using just the bioinformatics analysis.
\nIn the biofilm formation, the attachment step is a prerequisite in which flagella and type I pili-mediated motilities are critical for the initial interaction between the cells and surface.
\nIn order to find out the roles of the genes and regulatory pathway controlling the biofilm formation, researchers applied one or two genome-wide approaches, like transposon insertion mutagenesis or/and transcriptome analyses. With a transposon mutagenesis library, it was possible to identify 70 L. monocytogenes mutants, with Himar1 mariner transposon insertion, which produced less biofilms [24]. From a total of 38 genetic loci identified, 4 of them (Table 1) were found to be involved in bacterial motility (fliD, fliQ , flaA, and motA), a required property for initial surface attachment. Another gene with increased expression at 4 h and decreased expression after 12 h from biofilm initiation was prfA, the listeriolysin positive regulatory factor A. It seems that this regulatory factor is necessary just in the initial stages of biofilm formation and aggregation but not in the colonization stage [23, 25, 26].
\nGene/KEGG/protein encoded | \nGene function | \nRole | \nBacterium | \nRef. | \n
---|---|---|---|---|
\nInitial attachment\n | \n||||
\nfliQ/LMON_0682/Flagellar biosynthesis protein | \nMotility Flagella bio-synthesis | \nCell adhesion and bacterial attachment | \n\nL. monocytogenes\n | \n[23–25] | \n
\nflaA/lmo0690/Flagellin | \n||||
\nfliD/Flagellar hook-associated protein 2 | \nEnable the polymerization of the flagellin monomers; flagellar capping protein | \n[148] | \n||
\nmotA/BN418_0793/Flagellar motor protein | \nFlagellar motor rotation | \n|||
\nprfA/IJ09_09365/Listeriolysin positive regulatory factor A | \nDNA-binding transcription factor activity | \nPositive regulation of single species biofilm formation | \n\nL. monocytogenes\n | \n|
\nfimA/JW4277/Type-1 fimbrial protein, A chain | \nEnable bacteria to colonize the host epithelium | \nCell adhesion | \n\nE. coli\n | \n[30, 31] | \n
\nfhiA/ECUMN_0250/Flagellar biosynthesis protein | \nMotility bacterial-type flagellum assembly | \n|||
\nyadL/ECs0141/yadM/yadK/yadC/Fimbrial protein | \nFimbrial bio-synthesis | \n|||
\ntabA/yjgK/b4252/toxin-antitoxin biofilm protein | \nRepresses fimbria genes | \nSingle-species biofilm | \n||
\nicaA/Poly-beta-1,6-N-acetyl-D-glucosamine synthase from icaADBCR operon | \nAcetylglucosaminyl transferase activity, cell adhesion | \nInvolved in the polymerization of a biofilm adhesin polysaccharide | \n\nS. aureus\n | \n[149] | \n
\ntpiA/SAR0830/Triosephosphate isomerase | \nInvolved in gluconeogenesis pathway | \nRole in adherence | \n[150] | \n|
\nsraP/SAOUHSC_02990/ Serine-rich adhesin for platelets | \nMediates binding to human platelets | \nPlays a positive role in biofilm formation | \n[151] | \n|
\nSpo0A/BSU24220/Stage 0 sporulation protein A | \nRegulatory role in sporulation | \nSingle-species surface biofilm formation | \n\nB. cereus, B. subtilis\n | \n[152] [153] | \n
\ndegS/BSU35500/Signal transduction histidine-protein kinase/phosphatase | \nTransition to growth phase; flagellum formation | \nBiofilm formation | \n[154, 155] | \n|
\nfliL/STM1975/Flagellar protein | \nControls the rotational direction of flagella | \nMotility, cell adhesion | \n\nS. enterica\n | \n[156] | \n
\nycfR/Outer membrane protein | \nPromotes the attachment to the surface | \n[157] | \n||
Microcolonies development | \n\n | |||
\ndltA/LMOf2365_099/D-alanine-D-alanyl carrier protein ligase | \nCatalyzes the first step in the D-alanylation of lipoteichoic acid (LTA) | \nCell wall biogenesis | \n\nL. monocytogenes S. aureus\n | \n[24] | \n
\ndltC/LMOf2365_099/D-alanyl carrier protein | \nCarrier protein involved in the D-alanylation of LTA | \n|||
\ndltB/lmo0973/DltB | \nInvolved in the transport of activated D-alanine through the membrane | \n\nS. aureus, B. subtilis\n | \n||
\nsdrC/NWMN_0523/Serine-aspartate repeat-containing protein C \nsdrH/SAUSA300_1985 Serine-aspartate repeat family protein | \nCell adhesion | \nMediates interactions with components of the extracellular matrix to promote bacterial adhesion | \n\nS. aureus\n | \n[158] | \n
\nbhsA/STY1254/Multiple stress resistance protein | \nStress response, response to copper ion | \nRegulation of biofilm formation. May repress cell–cell interaction and cell surface interaction | \n\nE. coli\n | \n[159] | \n
\nbsmA/yjfO/Lipoprotein | \nStress response to hydrogen peroxide and to DNA damage | \nSingle-species biofilm formation; enhanced flagellar motility | \n\nE. coli, S. enterica\n | \n[160] | \n
\ncsgD/b1040/CsgBAC operon transcriptional regulatory protein | \nDNA-binding transcription activator activity | \nThe master regulator for adhesive curli fimbriae expression | \n[161] | \n|
\nmlrA/b2127/HTH-type transcriptional regulator | \nDNA-binding transcription factor activity | \nActivates transcription of csgD | \n[162] | \n|
\nsinR/BSU24610/HTH-type transcriptional regulator | \nNegatively regulates transcription of the eps operon | \nDNA-binding protein master regulator of biofilm formation | \n\nB. subtilis, B. cereus\n | \n[163, 164] | \n
\nepsG (yveQ)/BSU34310/Transmembrane protein | \nProduction of exopolysaccharide | \nBiofilm maintenance | \n[165] | \n|
\nepsH (yveR)/BSU34300/Putative glycosyl-transferase | \n[166] | \n|||
\nymdB/BSU16970/2′,3′-cyclic-nucleotide 2′-phospho-diesterase | \nRegulatory role. Induces genes involved in biofilm formation | \nDirecting the early stages of colony development | \n||
\npgcA/Phosphoglucomutase | \nCatalyzes the interconversion between glucose-6-phosphate and alpha-glucose-1-phosphate | \nExopolysaccharide synthesis | \n[167] | \n|
\ngcpA/SL1344_191/Biofilm formation in nutrient-deficient medium | \nBiofilm production under low-nutrient concentrations | \n\n | \nS. enterica\n | \n[156] | \n
\nBiofilm maturation\n | \n||||
\ntasA/ BSU24620/major biofilm matrix component | \nIdentical protein binding | \nMajor component of the biofilm extracellular matrix | \n\nB. cereus\n | \n[168] | \n
\ntapA/ BSU24640/TasA anchoring/assembly protein | \nImportant for proper anchoring and polymerization of TasA fibers at the cell surface | \nEssential for biofilm formation | \n\nB. subtilis No paralog in B. cereus genome | \n[169] | \n
\nsipW/BSU24630/Signal peptidase IW | \nCleavage of the signal sequence of TasA and TapA | \n\nB. cereus\n | \n||
\nbslA (yuaB)/BSU31080/Biofilm-surface layer protein A | \nConfers a specific microstructure to the biofilm surface | \nConfers hydrophobicity to the biofilm | \n\nB. subtilis, No paralog in B. cereus genome | \n[170–171] | \n
\nwcaF/b2054/Putative colanic acid biosynthesis acetyl-transferase | \nSynthesis of colanic acid | \nInvolved in the pathway slime polysaccharide biosynthesis | \n\nE. coli\n | \n[172] | \n
\nwcaL/STM2100/Putative colanic acid biosynthesis glycosyl-transferase | \n\nS. enterica\n | \n[173] | \n||
\nbssR (yliH)/JW0820/Biofilm regulator | \nRegulation of biofilm formation | \nIn the glucose presences, cells showed increased biofilm formation | \n\nE. coli\n | \n[33] | \n
\nmqsR/b3022/mRNA interferase toxin | \nMotility-quorum sensing cell proliferation | \nBiofilm architecture | \n[172] | \n|
\ntqsA/b1601/AI-2 transport protein | \nEfflux transmembrane transporter activity | \nRepresses biofilm formation and motility | \n[31] | \n|
\nbdcA/b4249/Cyclic-di-GMP-binding biofilm dispersal mediator protein | \nControls cell motility, size, aggregation, and production of extracellular DNA and extracellular polysaccharides | \nBiofilm dispersal | \n\nE. coli, S. enterica\n | \n[174] | \n
\nihfAB/Integration host factor | \nSpecific DNA-binding protein | \nMatrix density Cellulose production | \n\nS. enterica, S. aureus\n | \n[175–177] | \n
\nbapA/biofilm-associated protein | \nLarge surface proteins family | \nBacterial adhesion Biofilm maturation | \n||
\nclfA/ / Clumping factor A; clfB/ NWMN_2529/ Clumping factor B | \nCell surface-associated protein implicated in bacterial attachment | \nAggregation of unicellular organisms; cell adhesion | \n\nS. aureus\n | \n[178] | \n
\nicaC/SAOUHSC_03005/poly-beta-1,6-N-acetyl-D-glucosamine export protein (PNAG) | \nExport of PNAG across the cell membrane | \n\nE. coli, S. aureus\n | \n[149] | \n|
\npflA/SAOUHSC_00188/Pyruvate formate lyase-activating enzyme \npflB/SACOL020/Formate acetyltransferase | \nEnzymes that catalyze the first step in the acetogenesis from pyruvate | \nOrganic free radical synthesis | \n[29] | \n|
\nsarA/Transcriptional regulator | \nGlobal regulator of a few genes with important roles in biofilm development | \nBiofilm formation process in a cell density-dependent manner | \n\nS. aureus\n | \n[179] | \n
\nagrD/LMM7_0043/Putative autoinducing peptide | \nInvolved in proteolytic processing | \nQuorum Sensing | \n\nL. monocytogenes\n | \n[180] | \n
lmo0048/Putative AgrB-like protein | \nInvolved in proteolytic processing | \n\nL. monocytogenes\n \nB. cereus\n | \n||
\nagrC/Accessory gene regulator | \nHistidine kinase activity | \n\nS. aureus\n | \n[181] | \n|
\nagrA/CQ02_00305/BN389_00610/ Accessory gene regulator | \nA response regulator | \n[182] [183] | \n||
\nagrB/MF_00784/Accessory gene regulator | \nProteolytic processing of AgrD | \n\nS. aureus\n | \n[184] | \n|
luxS/lmo1288/S-ribosyl-homo-cysteine lyase | \nCatalysis of precursor molecules of AI-2 | \n\nL. monocytogenes E. coli, B. cereus, S. enterica\n | \n[48] [49] | \n|
\nluxQ/Autoinducer 2 sensor kinase/phosphatase | \nPhospho-relay sensor kinase activity | \n\nE. coli, B. cereus, S. enterica\n | \n
List of genes with significant role in biofilm formation within pathogenic microorganisms (UniprotKB database).
Extracellular and surface proteins such as internalin A and BapL, respectively, have been found to be involved in the initial bacterial adhesion in L. monocytogenes EGD-e [27]. Moreover, its mobility is ensured by flagella and is temperature-dependent affecting the biofilm formation. As such, above 30°C, the transcription of flaA is stopped.
\n\nS. aureus genes responsible for cell adhesion to the surface are included in the icaADBC operon with functions in biosynthesis of the glucosamine polymer and polysaccharide intercellular adhesins [28]. Therefore, other genes encoding a number of transporter proteins (proP, opuD, aapA, and dltA) were upregulated after 8 hours from the biofilm initiation [29]. For E. coli, the genes involved in the cell adhesion, like fimA, yadK, yadN, yadM, and yadC-encoding fimbriae-like proteins-are coexpressed with the integral cell membrane genes, with outer membrane proteins (htrE), with transcriptional regulators (mngR and nhaR), or other genes, but this network appears to be strain specific [30, 31].
\nIn the case of S. enterica, differential expression analysis revealed that ycfR is highly conserved as in many Gram-negative bacteria, being upregulated under chlorine stress and responsible for the virulence and attachment of bacterium to the glass or polystyrene [32, 33].
\nMoreover, Salmonella spp.-related biofilms are driven by a transcriptional regulatory CsgD protein that activates the expression of curli and cellulose. The transcription of csgBAC operon, which encodes the structural subunits for curli, indirectly activates the transcription of the second mechanism, adrA, associated with cellulose production [10]. Important factors in the activation of Salmonella spp. biofilms are the c-di-GMP that is behaving like a secondary messenger molecule when the CsgD content is elevated [34].
\nMicrocolonies are formed by cell proliferation, and many genes involved in cell division, cell wall biogenesis, virulence and motility, stress response, and transcriptional regulation factors are expressed.
\n\nTable 1 shows a selection of the genes that are expressed in all the steps of biofilm formation or are upregulated under influence of different biotic or abiotic factors. It was reported that the ∆dltABC L. monocytogenes strains are defective in biofilm formation, validating by transposon mutagenesis, the critical role of
The mature biofilm evolves from microcolonies and this development is associated with EPS production. The biofilm matrix of B. cereus is similar to other Bacillus sp., but the eps genes, responsible for the EPS synthesis, are not mandatory for B. cereus compared to B. subtilis [35]. Little is known about the regulatory networks in B. cereus, but studies have shown that CodY and SpoOA may as well play a crucial role in biofilm formation [36].
\nFurthermore, the structural proteins encoded by tapA and bslA from B. subtilis genome are absent in the matrix of B. cereus because these genes have no paralog in B. cereus genome. Instead the tasA gene is essential for B. cereus biofilm development, being responsible for the matrix fiber synthesis [37].
\nAn important polysaccharide identified in the matrix biofilm of many pathogenic bacteria is the colanic acid, which plays an important physiological role for bacteria living in biofilm. This EPS is synthesized by specific enzymes encoded by wcaL gene (S. enterica) or wcaF (E. coli). It has been also shown that rpoS gene, the main regulator of the general stress response, may be seen as a key factor in the development of mature biofilms in E. coli [38].
\nConsequently, the transition from the planktonic state to the biofilm state is critical and it is subjected to a strict gene regulation, essential for matrix synthesis, cell aggregation, and cell signaling.
\nNevertheless, bacteria of multiple genetic backgrounds communicate by regulating their relationship of cooperativeness through a mechanism called quorum sensing (QS) in which the bacterial cells are having social interactions with each other through small diffusible signal molecules called autoinducers, thus contributing to the biofilm development [10].
\nQuorum sensing process described in the 1970s is involved in the control of various gene expressions through chemical signaling molecules that are synthesized in response to cell population density [39]. When bacteria start to sense their critical biomass, they answer by activating or repressing genes from 10% of bacteria genome [40]. The system has been described for both Gram-negative and Gram-positive bacteria.
\nAmong QS, other two important regulators are known to control biofilm shape and structure: cyclic diguanosine-5′-monophosphate (c-di-GMP) and small RNAs. For example, S. aureus biofilm development is regulated by many environmental conditions and genetic signals. A significant constituent in biofilm formation is mediated by the polysaccharide intercellular adhesin composed mainly of polymeric N-acetyl-glucosamine (PNAG) and eDNA, encoded by the ica operon [41]. In certain cases, such as S. aureus, biofilm-associated protein (Bap) is involved in biofilm maturation rather than polysaccharide intercellular adhesion (polysaccharide intercellular adhesins) expression [42].
\nThe c-di-GMP involvement in S. aureus is an important biofilm regulator that allosterically switches on enzymes of exopolysaccharide biosynthesis [43], while the function of small RNA genes involved is still not yet studied in detail [44]. Although it has been noticed to show an increased susceptibility to disinfectants in planktonic state, however, in biofilm state, it may be among the most resistant ones equally important for food as well as for the medical sectors.
\nGram-positive bacteria such as S. aureus, B. subtilis, and L. monocytogenes are communicating through inducers encoded by accessory gene regulator (Agr) system (Table 1). It seems like the Agr complex regulates more than 100 genes in the S. aureus genome [45], and its deletion from L. monocytogenes genome affects more than 600 genes [46].
\nThe accessory gene regulator of S. aureus modulates the expression of virulence factors and toxins in response to autoinducing peptides (AIPs) while luxS synthesizes AI-2, which inhibits exopolysaccharide synthesis through an unknown QS cascade [47].
\nFor S. enterica and E. coli, the QS system is mediated by two genes, luxS and luxR, homolog to SdiA in order to reach intercellular signaling [48, 49].
\nThe L. monocytogenes QS signaling triggers the transcriptional activation of one of the virulence PrfA-regulated genes actA, resulting in the bacterial aggregation and biofilm formation [10]. Another gene involved in the cell-to-cell interactions is secA2 gene. Its deletion may inactivate the SecA2 pathway with an increased cell aggregation and sedimentation [50].
\nSince biofilms act as a barrier that protects the embedded cells against cleaning and disinfecting agents [51], the control of biofilm is an issue that is currently addressed to find effective solutions that can prevent biofilm formation or eliminate the already formed one. Biocontrol of biofilms by using bacteriocins, disruptive enzymes, essential oils, or bacteriophages is gaining importance, as well as using nanoemulsions and nanoparticles. These new methods are promising strategies with remarkable results in the fight against biofilms.
\nBacteriocins are antimicrobial peptides ribosomally produced by an extensive range of bacteria to inhibit or kill competing microorganisms in a micro-ecological system [52, 53]. The most studied bacteriocin and the only one allowed presently as food-grade additive is nisin, a lantibiotic with proven effects against many Gram-positive bacteria including foodborne pathogens [54]. This bacteriocin was shown to penetrate the biofilm formed by S. aureus and permeate the sessile bacterial cells by real-time monitoring [55]. Moreover, nisin and its bioengineered derivatives were able to enhance the capability of conventional antibiotics such as chloramphenicol of decreasing S. aureus biofilm viability [56]. Nevertheless, a study assessing the effect of neutral electrolyzed water and nisin and their combination against listerial biofilm on glass and stainless steel surfaces indicated the potency of this bacteriocin to improve the efficacy of sanitizers used in food industry [57]. Nisin was also indicated to be effective against biofilms formed by Gram-negative bacteria such as Salmonella typhimurium when combined with P22 phage and EDTA, a synergistic combination that reduced 70% of the mature biofilm [58].
\nAnother way to prevent biofilms development is represented by the adsorption of these bioactive compounds on the surfaces that come into contact with foods [59]. In this case, Nisaplin adsorbed to three types of food-contact surfaces commonly encountered in food processing plants, namely stainless steel, polyethylene terephthalate (PET), and rubber, reduced the adhesion ability of food-isolated L. monocytogenes strains [60]. Other studies showing the efficacy of nisin in preventing surface colonization by L. monocytogenes were conducted by Daeschel et al. [61] and Bower et al. [62].
\nA bacteriocin found to markedly inhibit the biofilm formed by S. aureus is sonorensis, a member of the heterocycloanthracin subfamily produced by Bacillus sonorensis MT93 [63].
\nDisruptive enzymes, such as proteases, glycosidases, amylases, cellulases, or DNAses, are considered a green alternative to chemical treatments often used in the fight against biofilms’ formation in food-related environments [2]. Such enzymes do not have toxic effects and are used both alone and as part of the industrial detergents’ composition to improve their cleaning efficacy [64–66].
\nProteases are a class of enzymes that catalyzes the cleavage of proteins’ peptide bonds. Although they are produced by all living organisms, microbial proteolytic enzymes are preferred over animal or plant origin proteases. The most commonly used source of bacterial proteases is represented by those produced by the genus Bacillus since they have remarkable properties such as tolerance to extreme temperatures, large pH domain, organic solvents, detergents, and oxidizing compounds [67]. Given their low substrate specificity, extracellularly produced proteases were shown to be more effective in degrading organic-based aging biofilms compared to amylases [68]. Combinations of a buffer that contained surfactants and dispersing and chelating agents with serine proteases and polysaccharidases were shown to be efficient in removing the biofilms formed by B. cereus and P. fluorescens, respectively, on stainless steel slides by the cleaning-in-place procedure [69]. Purified alkaline proteases from B. subtilis were reported to degrade biofilms produced by both P. mendocina and E. coli within 10 minutes [70]. Mold-origin proteases, such as proteinase K, were proved to be effective agents against biofilms formed by L. monocytogenes when used either alone or in combination with other biofilms’ inhibitors. In a study, proteinase K was capable of complete dispersion of L. monocytogenes biofilms grown for 72 h on both plastic and stainless steel surfaces at concentrations above 25 μg/mL. The same study also emphasized the synergistic effect between DNases and proteinase K regarding L. monocytogenes-established biofilm dispersion [71].
\nPolysaccharide-hydrolyzing enzymes were indicated to remove the biofilms formed by Staphylococcus spp. and Pseudomonas spp. on steel and polypropylene substrata. However, these enzymes did not exhibit a significant bactericidal effect, so they were combined with oxidoreductases for an improved performance [72]. Experimental studies showed that cellulase in conjunction with cetyltrimethylammonium bromide had the capacity of removing 100% of the S. enterica mature biofilm at the phase of irreversible attachment. This finding suggests an alternative strategy for removing Salmonella biofilms in meat processing facilities [73].
\nPlant essential oils (EOs) are rich in phytochemical compounds, which are secondary metabolites produced by plants as defense mechanism against pathogens [74]. Regarding microbial inactivation, EOs have been reported to mainly affect the cellular membrane by permeabilization [75]. This leads to the disruption of vital cellular processes, including energy production, membrane transport, and metabolic regulatory functions [76].
\nStudies evaluating the potential of EOs as disinfectants were conducted. Leonard et al. [77] assessed the bioactivity of Syzygium aromaticum (clove), Mentha spicata (spearmint), Lippia rehmannii, Cymbopogon citratus (lemongrass) EOs, and their major components on the listerial biofilm. The assessment revealed that M. spicata and S. aromaticum EOs inhibited the growth of listerial biofilm, while, surprisingly, in the presence of their main compounds alone, namely R-(−) carvone and eugenol, respectively, the biofilm biomass increased. Similar phenomenon was previously noticed by [78] in the case of α-pinene, 1,8-cineole, (+)-limonene, linalool, and geranyl acetate, with researchers arguing that bacterial cells in biofilms have a reduced metabolic activity, which make them more resistant to deleterious agents. These results suggest that antimicrobial activity of EOs is rather due to the synergism among the chemical substances that compose them, than due to an individual component’s activity. On the other hand, a disinfectant solution based on Cymbopogon citratus and Cymbopogon nardus EOs was reported to completely reduce the number of L. monocytogenes stainless steel surface-adhered cells residing in a 240 h biofilm after 60 min of interaction [79].
\nThyme EO has proven antimicrobial properties [80]. In terms of biofilm inhibition capacity, this EO was shown to inhibit significantly the biofilm formed by B. cereus [81] and biofilms formed by other food-related pathogens, including S. aureus and E. coli [82, 83]. Thymol and carvacrol are principal constituents of thyme oil [84], and their potential regarding biofilm inhibition is intensively studied. Surfactant-encapsulated carvacrol was effective against biofilms produced by E. coli O157:H7 and L. monocytogenes on stainless steel coupons [85]. This natural biocide was also shown to control a dual-species biofilm formed by S. aureus and S. enterica at quasi-steady state [86]. However, scientists emphasized that carvacrol concentration should be seriously considered when used to combat strong biofilm producers, such as S. aureus strains isolated from food-contact surfaces, since low concentrations may exhibit an inductive effect. In the case of the biofilm formed by Salmonella typhimurium on stainless steel surfaces, exposure to thymol resulted in a more pronounced decrease in the biofilm mass compared to exposure to carvacrol or eugenol [87]. Moreover, these compounds enhanced the susceptibility of this pathogen to the treatments with antibiotics such as nalidixic acid [88].
\nEugenol is a phytochemical compound preponderantly found in aromatic plants [89]. Interestingly, a study showed that this substance was able to inhibit the intracellular signaling pathway called quorum sensing in the case of biofilms formed by methicillin-resistant S. aureus strains isolated from food handlers. This mechanism has an important role in the host colonization, biofilm development, and defense strategies against harmful agents, allowing bacterial cells to act as social communities [90]. EOs of bay, clove, pimento berry, and their major constituent, eugenol, were proved to inhibit significantly the biofilm formed by E. coli O157:H7. The antibiofilm activity was assigned to the benzene ring of eugenol. Moreover, eugenol led to the downregulation of genes associated with the biofilm formation, attachment, and effacement phenotype, such as curli, fimbriae, and toxin genes [91].
\nBacteriophages are viruses that infect bacterial cells. They use the genetic machinery of their host cells to replicate, killing bacteria when reaching a sufficiently high number to produce lysis [92]. They are abundantly encountered anywhere host bacteria live [93] and, therefore, their potential is presently harnessed as natural antimicrobial agents to control pathogenic bacteria in food products and food-related environments [94]. One of the bacteriophages’ applications that is intensively explored targets biofilm-forming bacteria that are relevant for food industry, including L. monocytogenes, S. aureus, E. coli, B. cereus, and S. enterica. However, the success of this approach in fighting biofilms depends on a series of factors such as composition and structure of biofilms, biofilms’ maturity, and physiological state of bacterial host residing within biofilms, concentration of bacterial host, or extracellular matrix [95].
\nAlthough it is generally thought that biofilms confer resistance to bacteriophages, these bacterial predators developed several mechanisms to destroy bacteria communities. Once they reach the EPS (extracellular polymeric substances) producing host, they start to replicate, resulting in an increased number and, implicitly, in a progressive degradation of the biofilms and prevention of their regeneration. Bacteriophages can also express or induce the expression from within host genome of depolymerizing enzymes that degrade EPS. Nevertheless, they can also infect persister cells, which are dormant variants of regular bacterial cells that are highly resistant to antibiotics. In this case, the lysis process is triggered once persister bacteria are reactivated [96].
\nScientists [97] reported the ability of a bred phage to reduce L-form biofilms formed by L. monocytogenes on stainless steel surfaces. This bacteriophage was as effective as lactic acid (130 ppm) in the eradication of preformed L-form biofilms. P100 phage treatment was also shown to reduce the number of L. monocytogenes cells under biofilm conditions on stainless steel coupon surface regardless of serotype [98]. The potency of three bacteriophages, namely LiMN4L, LiMN4p, and LiMN17, used as a cocktail or individually at ~9 log10 PFU/mL was evaluated to inactivate L. monocytogenes cells residing within 7-day biofilms strongly adhered to clean or fish broth-coated stainless steel coupons and dislodged biofilm cells [99]. These phages exhibited a higher efficiency in the case of dislodged cells compared to intact biofilms when applied for short periods of time. Therefore, for high efficiency, short-term phage treatments in fish processing environments may require prior processes aiming at disrupting the biofilms [99]. The ability of Salmonella spp. to develop biofilms was shown to depend on the attachment surface types that may be encountered in chicken slaughterhouses. With regard to this, surfaces such as glass and stainless steel favored the formation of Salmonella biofilms, while polyvinyl chloride surface sustained less the development of them. The antibiofilm activity of a pool of bacteriophages isolated from hospital and poultry wastewater was concentrated at 3 h of action for all types of surfaces. Curiously, biofilms attached to the glass surface were resistant to a 6-h treatment. Bacteriophages were able to degrade the glass-attached biofilms after 9 h of interaction [100]. A bacteriophage BPECO 19 was evaluated as possible inhibitor of a three E. coli O157:H7 strain biofilm grown on both abiotic (stainless steel, rubber, and minimum biofilm eradication concentration device) and biotic (lettuce leaves) surfaces. This bacteriophage showed great biofilm inhibition activity on all the tested surfaces, being suggested as effective antibiofilm agent in food industry [101].
\nCurrently, controlling biofilm formation by nanotechnology-based antimicrobials is of industrial interest, nanoemulsions and nanoparticles (NPs) with antibiofilm activity being an alternative to conventional methods.
\nRecently, some studies made on model system (polystyrene well plates) and real systems (fresh pineapple, tofu, and lettuce) indicated that nanoemulsions of EOs have significantly higher antibiofilm activity compared to pure EOs (Table 2). Antimicrobial efficacy of nanoemulsions is dependent on the droplet size and electrical properties of nanoemulsions [102, 103], nature of bacteria [75, 104], and food matrix [105–107].
\nNanoemulsion | \nParticle size, nm | \nBiofilm-forming bacteria | \nMode of action | \nRef. | \n
---|---|---|---|---|
EO of Citrus medica L. var. sarcodactylis\n | \n73 | \n\nS. aureus\n | \nInhibit the ability of bacteria to attach to surfaces | \n[185] | \n
EO of Cymbopogon flexuosus (lemongrass) | \n78.46 ± 0.51 | \n\nP. aeruginosa (PA01) and S. aureus (ATCC 29213) | \nReduce the adhesion of pathogenic bacteria to surfaces | \n[186] | \n
Trans-CA | \n>100 <100 | \n\nP. aeruginosa (CMCC 10104), S. typhimurium and S. aureus\n | \nMembrane disruption by destabilization of lipids | \n[187] | \n
Linalool | \n10.9 ± 0.1 | \n\nS. typhimurium (ATCC 1331) | \nCell membrane integrity disruption | \n[107] | \n
Antibiofilm activity of essential oil (EO) nanoemulsions.
Nanoparticles (NPs) can be used for both inhibition of biofilm formation and eradication of already formed ones [108].
\nIn the last period, NPs with natural compounds gained increased interest because it was demonstrated that the inorganic capsules can protect the natural products with antimicrobial activity [109]. In this respect, cinnamaldehyde-encapsulated chitosan nanoparticles, garlic-silver NPs, and “tree of tee” oil NPs were used to combat biofilm formation by P. aeruginosa on polystyrene well plates and glass pieces [110–112]. Meanwhile, the biofilm formed by S. aureus on glass slide was inhibited by applying gold NPs with EO of Nigella sativa [113] and garlic-silver NPs [111].
\nMetal-based NPs (silver, gold, and metal oxides) with antimicrobial activity can be used to create different nanocomposite materials able to prevent bacterial adhesiveness to food-contact surfaces and equipment. Wu and coworkers [114] showed that cysteine dithiothreitol and beta-mercaptoethanol were able to reduce S. aureus biofilm formation on polystyrene polymer. Liang and coworkers [115] revealed that silver salt of 12-tungstophosphoric acid NPs (AgWPA-NPs) can be used to develop new materials for preserving foods, since they were able to inhibit S. aureus biofilm formation by damaging bacterial cells’ membrane. Moreover, genes related to biofilm formation, such as icaA, sarA, and cidA were shown to be downregulated as a consequence of AgWPA-NPs’ application. Naskar and coworkers [116] tested the antibiofilm activity of polyethylene glycol-coupled Ag-ZnO-rGO (AZGP) nanocomposite on both Gram-positive bacteria (S. aureus ATCC 25923) and Gram-negative bacteria (P. aeruginosa MTCC 2453). These NPs, at a concentration of 31.25 μg/mL, reduced the biofilm formed by S. aureus with ~95% and that formed by P. aeruginosa with ~93%. Zinc oxide NPs were used for the destruction of the biofilm formed on glass slide by S. aureus and P. aeruginosa [117]. Titania nanoparticles can be used to prevent the formation of P. fluorescens biofilm on the surfaces of TiO2/polystyrene nanocomposite film [118]. It has been shown that nanostructured TiO2 combined with UVA irradiation can be used to destroy L. monocytogenes biofilm, while silver NPs at a concentration of 15 μg/mL had the capacity to inhibit S. aureus and E. coli biofilms [119, 120].
\nThe ability of two types of superparamagnetic iron oxide (IONs and IONs coated with 3-aminopropyltriethoxysilane) to inhibit biofilm formation by B. subtilis was successfully tested by [121].
\nSome food technologies belonging to alternative technologies seem to be successful for preventing the biofilm formation and/or for targeting resistant microorganisms and making them more susceptible to molecular interventions in order to hinder their biofilm formation ability. Among these technologies are included plasma treatments, ultrasound treatments, light-based technologies, pulsed electric fields (PEF), and high hydrostatic pressures. With the exception of ultrasound treatments that can be used to fight against biofilms formed on mechanical parts or pipes, the others are mostly applied for food matrix decontamination.
\nPlasma is generated when the added energy ionizes a gas, which is composed of ions, neutrals, and electrons. Plasma treatment is a surface treatment that has a low penetration depth and was reported to be effective against biofilms, depending on the type of surface biofilms are formed on, the distance between plasma and surface, and the thickness or the microbial load.
\nPlasma sources for producing nonthermal plasma at atmospheric pressure are plasma jets, dielectric barrier discharges (DBD), corona discharges, and microwave discharges. Different other characteristics of the plasma have been reported to influence the biofilms’ inactivation such as the setup (electrode configuration), the exposure mode, the operating gas, the frequency, the plasma intensity (voltage), and the time of exposure [122].
\nResearches [123] showed that the efficacy of DBD in-package atmospheric cold plasma (ACP) against S. typhimurium, L. monocytogenes, and E. coli could reach up to 5 log CFU/g after 300 s of treatment at 80 kV. Other researchers [124] studied the effect of ACP on monoculture biofilms (E. coli, S. enterica, L. monocytogenes, and P. fluorescens) and mixed culture biofilms (L. monocytogenes and P. fluorescens) and demonstrated that the latest are more difficult to inactivate than the former ones. L. monocytogenes and P. fluorescens inoculated as mixed cultures on lettuce were reduced by 2.2 and 4 log CFU/g, respectively, and the biofilms formed at 4°C were more resistant than the ones formed at 15°C.
\nGovaert et al. [122] studied the influence of different plasma characteristics on the inactivation of L. monocytogenes and S. typhimurium biofilms and showed that inactivation can vary from 1 log to approximately 3.5 log (CFU/cm2), but the highest reduction was obtained for a DBD electrode with He and no O2 in the gas mixture and an input voltage of 21.88 V. A high efficiency of the inactivation of bacterial biofilm was achieved by DBD for low-dose discharges (70 mW/cm2) and short treatment times (≤300 s), and the most effective reduction in the number of S. aureus cells of 2.77 log was reported after 300 s. E. coli biofilm was reduced only by 66.7% [125].
\nIt was shown that ACP is a promising technique but alone cannot achieve complete biofilm inactivation and thus it should be complemented by other surface treatments. Possibility to combine ACP with different biocides such as hydrogen peroxide, sodium hypochlorite, ethylenediaminetetraacetic acid, chlorhexidine, octenidine, and polyhexanide applied before or after the plasma treatment was tested by [126] to reduce biofilms cultivated on titanium discs. Also, Gupta et al. [127] studied the antimicrobial effect of an ACP, plasma jet combined with chlorhexidine, for the sterilization of the biofilms formed by P. aeruginosa on titanium surfaces [128].
\nUltrasound (US) is a form of energy generated by sound waves at frequencies that are too high to be detected by the human hearing (>16 kHz). The US band is also divided into low frequency (16 kHz−1 MHz) and high frequency (>1 MHz) bands.
\nUS was used as biofilm removal method; however, many studies demonstrated that it should be complemented by other inactivation methods [129, 130]. For example, [130] demonstrated that US removed a significant amount of E. coli and S. aureus biofilm, up to 4 times higher compared to the swabbing method. Later on, the same researchers [131] showed that two ultrasonic devices developed failed to completely remove E. coli and S. aureus biofilms for closed surfaces, but they succeeded in biofilm inactivation on opened surfaces (10 s at 40 kHz). The use of chelating agents such as EDTA completely dislodged E. coli biofilm but not significantly improved S. aureus biofilm removal. A synergistic effect was achieved when US was combined with enzymes (proteolytic or glycolytic) that demonstrated a 2–3 times higher efficacy in biofilm removal compared to sonication.
\nCombination of US with mild heat and slightly acidic electrolyzed water was used to test the inactivation of B. cereus biofilms on green leaf surfaces. Slightly acidic electrolyzed water with 80 mg/L treatment for 15 min combined with US of fixed frequency (40 kHz) and acoustic energy density of 400 W/l at 60°C resulted in a reduction of ~3.0 and ~3.4 log CFU/cm2 of B. cereus reference strains ATCC 10987 and ATCC 14579 [132].
\nSynergistic effects were registered also for ultrasound (US; 37 kHz, 380 W for 10–60 min) assisted by peroxyacetic acid (PAA; 50–200 ppm) on reducing Cronobacter sakazakii biofilms on cucumbers [133].
\nThe efficacy of US (37 kHz, 200 W, for 30 min)-assisted chemical cleaning methods (10% alcohols, 2.5% benzalkonium chloride, and 2.5% didecyl dimethyl ammonium chloride) for the removal of B. cereus biofilm from polyurethane conveyor belts in bakeries using US was better compared to each individual method as demonstrated by [134].
\nUltraviolet (UV) light technology is based on the emission of radiation within the ultraviolet region (100–400 nm). The antimicrobial behavior of UV light is based on the formation of DNA photoproducts that inhibit transcription and replication and can lead to cell death [135]. Since the absorption of the DNA is in the 200–280 nm range with the maximum at 254 nm, this wavelength of the UV-C range is called germicidal UV light [136].
\nPulsed light (PL) is the next-generation approach to UV delivery. PL is a technology that can be used to decontaminate surfaces by generating short-time high-energy light pulses (millions or thousands of a second) of an intense broad spectrum (200–1100 nm). PL can be used to decontaminate a great variety of foods as well as to decontaminate contact surfaces, thus improving safety in foods and extending their shelf life [137]. The antimicrobial effect is based on strand breaks that lead to the destruction/chemical modification of the DNA and thus prevent the replication of the bacterial cell [138].
\nRecently, Rajkovic and coworkers [139] evaluated the efficacy of pulsed UV light treatments to reduce S. typhimurium, E. coli 0157:H7, L. monocytogenes, and S. aureus on the surface of dry fermented salami inoculated with 6.3 log CFU/g at 3 J/cm2 (1 pulse) or 15 J/cm2 (5 pulses) for 1 or 30 min. The authors found a significant effect of PL treatment time, with the best results after 1 min of applying PL (2.18–2.42 log CFU/g reduction), while after 30 min, the reduction varied from 1.14 to 1.46 log CFU/g.
\nA comprehensive review in the literature underlined the various researches directed mainly at inactivation of pathogens in food or on surfaces and for preventing biofilm formation [137]. While there are often considerable differences in the rate of microbial inactivation by PL, a maximum reduction of 3-log was typically achieved, which is below the reduction performance standard of 5-log required by HACCP regulation [138].
\nRegarding the combined methods, synergistic interaction between gallic acid and UV-A light was able to inactivate E. coli O157:H7 in spinach biofilm [140]. The UV-A treatment complemented by the gallic acid presence was found to be effective producing a 3-log (CFU/mL) reduction in E. coli O157:H7 on the surface of spinach leaves.
\nHowever, PL technology limitation related to the inability to effectively treat uneven food surfaces with crevices, the presence of organic material, and large microbial populations generating shading effects should also be taken into account. Future innovation in PL technology will seek to improve fluence efficiency, for example by considering alternative light sources such as LEDs [141], reflective surfaces included in the treatment chamber, using materials such as titanium dioxide to augment irradiation efficacy [138], and other combination of treatments assisted by PL, based on hurdle approach.
\nPulsed electric field (PEF) is a food processing technology that applies short, high-voltage pulses, across a food material placed between two or more electrodes. The pulses enhance cell permeability by damaging the cell membrane, and if the transmembrane potential is sufficiently high, it produces electroporation. Further, if pores are not resealed, it results in cell death. Most of the food applications are designed for liquid flow through pipes where in a certain region the liquid passes in-between the electrodes area that applies the PEFs [142].
\nThermosonication (TS) was investigated in combination with PEF to determine its effects on inactivation and sublethal injury of P. fluorescens and E. coli. While TS was applied at a low (18.6 mm) and high (27.9 mm) wave amplitude, PEF was applied at a low (29 kV cm−1) and high electrical field strength (32 kV cm−1). TS/PEF caused a maximum of 66% inactivation, while sublethally injuring approximately 26% of the E. coli population [143].
\nPEF demonstrated synergistic potential in combination with additives (EDTA or triethyl citrate) to inactivate Salmonella serovars in whole liquid eggs [144].
\nThere is a lot of potential demonstrated by PEF and the combination with different other hurdles could contribute to the elimination of persistent clones able to form biofilms.
\nHigh pressure processing (HPP) is a cutting-edge technology that represents an alternative to conventional processing. HPP has the ability to inactivate microorganisms and enzymes and has a minimal impact on sensorial and nutritional properties of food [145, 146].
\nCombined with other different hurdles, the pressure-assisted processing could be oriented toward a more targeted inactivation of pathogens and prevention of biofilm formation.
\nRecent studies were focused on L. monocytogenes, a pathogen able to form surface-attached communities that have high tolerance to stress. In order to understand how agr gene regulates virulence and biofilm formation, a recent molecular study [147] was conducted. L. monocytogenes EGD-e ΔagrD showed reduced levels of surface-attached biomass in 0.1 BHI (brain heart infusion) broth.
\nHowever, L. monocytogenes mutant deficient in agr peptide sensing showed no impaired resistance to HPP treatment at 200, 300, and 400 MPa for 1 min compared to wild-type and L. monocytogenes EGD-e and thus demonstrating that weakened resistance to cell wall stress is not responsible for the reduced biofilm-forming ability.
\nUnderstanding better the molecular mechanisms of stress-related genes will allow to better target pathogen inactivation and to select the right hurdle combination and parameters of unconventional technologies to able to reduce the susceptibility of certain pathogens to form biofilms. These types of studies are just at the beginning and many more researches are expected to focus on these topics in the near future.
\nPathogenic and toxigenic bacteria are able to form biofilms, structures that protect the cells and allow them to remain postsanitation in the food processing environment.
\nSpecific genes are expressed in all the steps of biofilm formation or are upregulated under influence of different biotic or abiotic factors. Genes codify for cell surface structures and appendages (flagella, curli, fimbriae, and pili) that are facilitating biofilm formation by helping bacteria to move toward surfaces and to adhere to them, for extracellular polymeric substances that stabilize the biofilms and protect the cells and for quorum sensing communication.
\nScientists developed novel agents and strategies to control biofilm formation or removal. Their application to the food industry would contribute to eradication of undesirable bacteria from food-processing environments and, subsequently, from food products.
\nThis study was supported by a grant of the Executive Agency for Higher Education, Research, Development and Innovation Funding in Romania awarded to the Dunarea de Jos University of Galati (International and European Cooperation—Subprogramme 3.2—Horizon 2020—Contract no: 15/2017), an institution that is a member of the ERA-IB2 consortium “SafeFood” (ID: ERA-IB-16-014).
\nFlorentina Ionela Bucur’s work has been funded by the European Social Fund through the Sectoral Operational Programme Human Capital 2014–2020, through the Financial Agreement with the title “Scholarships for entrepreneurial education among doctoral students and postdoctoral researchers (Be Entrepreneur!),” Contract no. 51680/09.07.2019—SMIS code: 124539.
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