1. Importance
The characterization of bacterial virulence factors (VFs) in the context of human biology may be influenced by an anthropocentric bias and therefore efforts to develop therapeutic interventions of their effects in medicine may be misdirected. We propose a reassessment of the reasoning processes that are used to define the role that a VF has in bacterial pathogenesis. Guidelines that encourage consideration of the role of natural selection in the evolution of a putative VF are provided.
2. Introduction
In 1890, Robert Koch postulated conditions that associate the presence of a particular infectious agent with disease [
1]. These postulates helped direct the search for discrete virulence factors (VFs) that contribute to disease. Historically, the identification of a VF is largely based on empirical observations made in vitro. Namely, pathogenesis involves tissue death and tissues are composed of somatic cells, so if we observe the killing of somatic cells by a VF in vitro, then the conclusion is that it must have a role in pathogenesis. We teach our microbiology students that to qualify as a pathogen, bacteria must colonize and evade host defenses, cause tissue damage, and promote their own dissemination. We follow-up by providing lists of VFs categorized according to their role in each step of this process. However, this may be an overly anthropocentric view that ignores the evolutionary history of microorganisms in general and overemphasizes the relationship between mammals, especially humans, and bacteria. This perspective disregards a fundamental aspect of Darwin’s theory of evolution via natural selection [
2] by presuming that apparent VFs possessed by environmental bacteria evolved to infect mammals, wherein in reality, the collection of gene products designated as VFs have plausibly evolved to support survival of bacteria in the broader environment, with occupation of mammals’ bodies appearing later in their history as a new niche that may necessitate some degree of prior pathoadaptation [
3]. Currently, nucleic acid amplification technologies (i.e., PCR and sequencing) may be used to identify potentially new VFs. Lacking any other experimental evidence, these approaches can misidentify VFs and thereby misdirect downstream research efforts. In this essay, we examine the epistemology of VF characterization and introduce criteria that can be used for categorization. Our goal is not to introduce extreme epistemic rigidity that would hamper the field but to encourage an unbiased reasoning process to be used for VF characterization.
A review of the literature reveals evolutionary biologists who have sought to define the environmental pressures that resulted in the development of bacterial factors that defend the bacterium against death by protists and there are microbiologists from various fields who seek to delineate the roles that these factors play in disease along with their regulation and secretion [
4,
5,
6,
7,
8]. Yet, it seems likely that what we regard as VFs may have a primary role in defending the bacterium against environmental pressures and that these factors may ultimately have served a secondary role for the bacterium when faced with colonizing new niches in mammalian hosts [
9,
10,
11,
12]. While the belief that the evolution of a VF as a means to win the arms race against predators has warrant, the reasoning used to infer their role in mammalian disease should undergo reappraisal. Redefinition of Koch’s postulates in the 20
th century focused on the existence of a gene that produces a VF [
13]. This approach serves to validate the role of a discrete gene product in pathogenesis. However, in vitro assays and animal models used in these experiments can never be wholly representative of the human disease process or the selective pressures that direct pathogenesis [
14]. Furthermore, conclusions drawn from genomic analyses that are increasingly being used as a form of inductive reasoning by analogy in the quest for identifying new VFs may be overly hasty [
15]. Without considering their evolutionary role as broader survival factors, the characterization of VFs is potentially subject to anthropocentric bias.
Families of putative VFs have been identified through genomic data mining based on the assumption that a particular gene product is responsible for a discrete step in the infectious disease process [
15,
16]. Therapeutic interventions may be investigated using these curated databases without a clear set of guidelines for defining the role, if any, of a particular VF in disease [
17]. Novel therapeutic agents and vaccines have been developed using this approach. For example, a small molecule inhibitor of cholera toxin expression was isolated using high-throughput screening [
18] and the yersinia type 3 secretion system effector protein was used to construct a hybrid vaccine that showed protection in a mouse model [
19]. However, exploration of therapeutic strategies aimed at a misidentified VF risks wasting research efforts. We propose recognition of the roles that natural selection combined with pathoadaptation have in the evolution of VFs and to remain cognizant of the biases that can be introduced in hypothesis development. As expressed by Brown, et al. [
20] and attributed to Joshua Lederberg: “… the intellectual approach taken to study parasitism is perhaps most effective when an anthropocentric view is rejected in favour of an ecological view”. We thus propose a distinction between those gene products that provide offensive and defensive capabilities to the bacterium from those that provide general survival functions such as colonization and nutrient acquisition [
21]. When the offensive and defensive capabilities extend to a lifecycle in the mammalian host then the former would be described as VFs while the latter would be designated fitness factors [
22].
3. Origin and Evolution of Virulence Factors
The concept of a VF as a discrete gene product which directly contributes to the ability of a bacterium to cause disease accommodates our heuristic tendencies for narrative explanations of causation. As the concept that bacterial pathogens are defined by their list of VFs, a search for new genes has been supported by the creation of nucleic acid databases based on sequence homologies [
15,
23]. These efforts can potentially lead to an exponential increase in the number of sequences identified as VFs in species previously considered as commensals or inhabitants of various niches in the extracorporeal environment [
16]. The realization that bacteria and viruses developed a Darwinian relationship with protists eons before the appearance of mammals should compel us to consider from an evolutionary perspective the question of why bacteria produce VFs. Evolution did not consider the ultimate effect on mammals when generating gene products that allow the earliest life forms to colonize and evade the defensive response of single-cell eukaryotes [
24]. Bacterial pathogenesis and the identification of VFs began as a field of investigation with the discoveries of van Leeuwenhoek, Pasteur, and Koch leading to diagnostic approaches and therapies based on sound reasoning [
25]. Admittedly, an anthropocentric bias in bacterial pathogenesis has enabled bold predictions facilitating advances such as vaccine development that have served to mitigate the impacts of infectious disease. However, searches based purely on sequence homologies are prone to confirmation bias combined with limited empirical evidence that can ultimately lead to misdirected efforts to design therapeutic interventions.
Evolutionary biology research has revealed a diverse group of bacterial pathogens that have a protist host which most likely served as a training ground for their adaptive survival and supported development of the nefarious traits that contribute to disease [
26,
27,
28,
29]. A prokaryote’s capacity to evade protist grazing most likely enabled it to evade a cell-mediated immune response in a mammalian host. While these pathoadaptive characteristics provide a general survival capacity, the unique human host-specificity that we see with some VFs such as adhesins and the binding subunits of exotoxins seems to argue against the protist training ground hypothesis. Did receptor-binding specificity of an adhesin evolve after bacteria encountered a new mammalian niche or did they exist prior to that encounter - were they required for binding to a nonmammalian receptor? There is also a question of fitness costs to the bacterium when it needs to express a survival factor. Bacteriophages with their capacity for horizontal gene transfer (HGT) may have evolved as prokaryotic symbionts serving as reservoirs for the rapid deployment of the genes needed for expansion into new niches thereby obviating the need for bacteria to constitutively expend unnecessary energy [
30,
31,
32,
33,
34]. Pathoadaptive mutations in the bacterial genome that result in gain- or loss-of-function phenotypic changes, either by mutation or HGT, permit a commensal bacterium to colonize a new environment, acquire nutrients, and when necessary, evade the host immune response [
3,
35]. The concomitant tissue damage and inflammatory response are what we recognize as disease. A gain-of-function by mutation example such as
Pseudomonas aeruginosa alginate production during lung infections [
36,
37] and gain-of-function by HGT example such as acquisition of the Shiga toxin-converting phage by
E. coli [
30] illustrate the concept of heritable pathoadaptive mutations providing survival benefit to a bacterial population in a new niche. These phenotypic changes which aid survival and are heritable within the bacterial population can be considered examples of Lamarckian evolution within a Darwinian framework [
15,
38,
39].
4. Ecological Arguments Supporting Non-Anthropocentric Roles of Bacterial Virulence Factors
We can no longer think in absolute terms of pure pathogen and pathogen-driven disease but must instead consider the concept of balanced pathogenicity in a damage-response framework [
40]. A critical next step in this process is to reformulate the role of a VF fit within this model. We should view VFs as factors that serve a survival function for the bacterium in a specific ecologic niche such as resisting the killing processes inside the endocytotic vesicle of
Acanthamoeba or a human macrophage [
5,
6,
7,
26,
27,
37]. Host response dictates whether the bacterium will persist as a quiescent intracellular life form or escape from its phospholipid enclosure using a cytolytic exotoxin. Although there may be VFs that possess the capacity to cause tissue damage irrespective of the host (e.g., the clostridial neurotoxins [
41]) the damage-response framework model informs us that commensalism is relative, and that disease causation may be considered an inappropriate response by the mammalian host to the bacterium.
If a bacterial pathogen is understood as the product of eons of natural selection in which it developed co-resident relationships with and defenses against both bacteriophage and bacterivorous protists [
22] then there should be more experimental models that explore the host-parasite relationship at its source using, for example,
Acanthamoeba or
Tetrahymena. Kebbi-Beghdadi and Greub [
42] propose using protists as eukaryotic hosts to isolate pathogens from environmental samples during an outbreak or from clinical specimens when traditional culture methods fail. Amoeba may be used as a model system that more closely mimics bacterial processes at the level of a mammalian cell. The relationship of
Legionella pneumophila inhabiting
Acanthamoeba castellanii has been well characterized [
26] but there is limited information on other bacterial pathogens and their protist hosts despite the demonstration that these relationships are seemingly widespread [
5,
8]. Virulence attributes such as biofilm formation, quorum sensing, exotoxins, and siderophore production which have a role in bacterial survival when encountering their protist predator could also conceivably play a role in the mammalian host [
6,
22,
36]. The capacity for molecular inhibitors to protect a protist host from a VF produced by a co-resident bacterium could be assessed prior to tissue culture and animal assays. Vertebrate cell culture and animal host models represent a relationship that evolved several billion years later and are used as a proxy for human infection. It would be naïve to indiscriminately criticize the role that traditional models have had without recognizing their substantial contributions to combatting infectious disease. Nevertheless, we should acknowledge that extrapolation of these experimental results to human disease is subject to heuristic biases [
43]. Rigorous science should
always be aware of bias and authors should explicitly state limitations of a particular study. Two examples of established bacterial pathogens,
Staphylococcus aureus and
Pseudomonas aeruginosa, will be used to illustrate the processes for characterizing specific VFs. The rationale for choosing these two bacteria is based on the number and the variety of putative VFs that have been described for each of them.
5. Two Case Studies: Staphylococcus aureus and Pseudomonas aeruginosa
Table 1 describes putative VFs that have been isolated from two bacterial pathogens,
S. aureus and
P. aeruginosa. VFs such as
S. aureus alpha toxin and
P. aeruginosa alginate and elastase (LasA) were excluded from the table because their role in human disease has been established by criteria that surpass those cited in
Table 1 [
57,
75].
Table 1 is not presented to imply that research characterizing the bacterial pathogens
S. aureus and
P. aeruginosa has been entirely misdirected. Investigations of established and putative VFs that use available methods and extrapolation from in vitro and in vivo analyses to humans is currently the most appropriate approach to advance our understanding of microbial pathogenesis. Scientific discovery that is based on current knowledge and inductive analogy can be the best approach to developing testable hypotheses. A process of describing VFs is subject to underdetermination, which is the concept that the information currently available to researchers at a given time is insufficient to define what beliefs should be held in response to that information [
76]. With time, methods of discovery improve, seminal discoveries are made, and the experimental data improve which ultimately advances the field. The purpose of this essay is to encourage vigilance with respect to the reasoning process and to support the use of strong inference [
77]. Strong inference promotes clarity in hypothesis development, which along with a considerable amount of empirical information, allows for the formulation of multiple sharp hypotheses. Strong inference involves proposing definitive alternative hypotheses, which may be tested and compared. In the best case, all but one can be eliminated (with high probability), thus cutting down on the possibilities, and raising the probability of the remaining hypotheses. For example,
S. aureus produces a number of hemolysins that presumably contribute to tissue damage and disease making them attractive targets for therapeutic intervention. Strong inference can be applied in this example by testing the alternative hypothesis that a particular hemolysin evolved solely for nutrient acquisition in the host and its role in pathogenesis is inconsequential. The role of this putative VF in disease can be granted warrant by establishing empirical evidence supporting or refuting the alternative hypotheses.
5.1. Staphylococcus aureus
S. aureus deserves consideration in the discussion of VFs. It is a commensal that colonizes the anterior nares of up to 27% of the human population and has the capacity to express proteins that enable it to colonize wounds and prosthetic devices while producing a variety of exotoxins that can destroy tissue and superantigens that induce anergy [
57,
78]. Genes producing these VFs that seem extraordinarily adapted to the human host are carried by mobile genetic elements (MGEs) that can provide a bacterial host with the survival tools that it needs; factors for colonization, alteration of antigenic surface structure, and toxins [
79].
S. aureus has a versatile selection from its mobile libraries including phage, genomic islands, and pathogenicity islands that carry genes for many of its well-studied VFs such as enterotoxin A, Panton-Valentine leukocidin, and toxic shock syndrome toxin-1 [
80], as well as plasmids and transposons that distribute antibiotic resistance genes.
S. aureus presents itself as a valuable model for bacterial pathogenesis and the role of VFs in disease because the evolution of ancient staphylococci into the less virulent coagulase negative staphylococci and
S. aureus was a result of the acquisition of genomic islands by the latter species [
81]. The agr system is a quorum sensing system that controls VF gene expression and is believed to be responsible for temporal expression of those factors that mediate colonization followed by dissemination through the tissue [
82]. However, in vitro studies and epidemiologic analyses fail to fully support a consistent role of the agr system in pathogenesis [
83,
84]. Expression of the agr system is an example of an adaptive response that enables persistent colonization of the human host [
85]. Evolution of a regulatory system such as agr and functional redundancy that enable long-term colonization of a particular niche can confound the use of mutated bacterial strains for investigation of pathogenesis due to the role that many putative VFs have in survival [
57]. Loss-of-function mutations in degradative enzyme gene sequences that are intended to mitigate tissue destruction in an animal model will impact pathogen fitness by impeding nutrient acquisition and perhaps immune evasion. Therefore, characterization of functionally redundant exoenzymes and regulatory sequences as VFs should be subjected to additional criteria that establish their roles in pathogenesis.
S. aureus predominates as a human colonizer because it can gain resistance to multiple antibiotics, with resistance to methicillin and vancomycin being the most significant threats to human health [
86]. Carrying the methicillin resistance cassette has significant fitness costs for the bacterium but its existence on a plasmid supports maintenance of the population because cheaters are transformed in the event of a selective challenge [
80,
87]. An important consideration is whether the reason for the genesis of these resistance genes is poor antibiotic stewardship since the middle part of the 20
th century or whether this is an example of confusing correlation with causation. Evolutionary history does not support the resistance gene genesis argument since appearance of the genes predates the use of methicillin [
88]. Antibiotic resistance genes may have evolved to resist other environmental challenges and we became aware of their existence with the advent of these therapeutic agents [
89]. Therefore, overuse may be blamed for their dissemination via MGE but does not explain evolution of these genes [
90,
91]. Some of the more virulent strains of
S. aureus isolated from severe cases of bacteremia and pneumonia have been shown to not produce the exotoxins classically associated with this pathogen [
83] which is contrary to the narrative that these proteins are required as part of the disease process. Evolution studies have demonstrated loss-of-function due to nonsense mutations in the AraC-family, which is a transcriptional regulator of stress response, as well as impaired function of the agr global regulator [
78]. This suggests there may be a fitness tradeoff for an opportunist such as
S. aureus with some gene products lost or transcriptionally silenced during the transition from commensalism to pathogenesis.
The role that biofilms have in the survival of bacteria in their natural habitats was initially revealed by microbial ecologists and was subsequently followed by application of these findings to human health [
5,
6,
10,
33,
92,
93,
94,
95,
96]. These discoveries resulted in numerous reports describing the role of biofilms in dental disease as well as in iatrogenic infections [
97]. Realization that bacteria possess the capacity to form communities that use quorum sensing for cell-cell communication has contributed to a deeper understanding of the relationship between microbes and their hosts [
92]. One hypothesis is that microbial adaptation to the extracorporeal environment, which provided a survival advantage by resisting bacterivorous protist predation and chemical assault by other bacteria, aided the colonization of the human oral cavity - a niche that can yield a rich source of nutrients [
96,
98]. It would similarly follow that a colony of staphylococcus that was inadvertently relocated from the hands of a surgical team to a prosthetic device may switch to biofilm formation to resist the cell-mediated and humoral defenses [
57,
78]. The hypothesis would be that all strains of staphylococcus that colonize the skin possess the
potential to engage in biofilm formation when faced with a new challenge to their existence. Would failure to demonstrate the existence of a quorum sensing operon in all strains of
S. aureus suffice as falsification of this hypothesis?
5.2. Pseudomonas aeruginosa
Pseudomonas aeruginosa in the lung of a cystic fibrosis patient is one of the most striking examples of adaptation to host colonization [
96]. Considered an opportunistic infection,
P. aeruginosa undergoes a phenotypic conversion to biofilm formation which allows it to resist the innate, cell-mediated, and humoral defenses in the lung [
37]. Its capacity to cause a persistent infection can be attributed to adaptation in the broader environment wherein
P. aeruginosa has been shown to use quorum sensing to coordinate a mob attack on amoeba [
7]. In addition to biofilm formation,
P. aeruginosa has a variety of other attributes which presumably contribute to its pathogenesis. Its siderophores and type 3 secretion system serve as environmental defenses against protists as well as competing bacteria [
36,
99].
P. aeruginosa produces exotoxins which clearly fit the working criterion for a VF and can serve as an exemplar for the VF characterization discussion. As an example, exotoxin A (ExoA) is a discrete gene product with the archetypal AB subunit structure of a bacterial toxin. It is an ADP-ribosylating enzyme that selectively modifies mammalian elongation factor 2 [
33]. ExoA works superbly in vitro and has contributed to our understanding of eukaryotic protein synthesis [
64]. Another key characteristic is that the pseudomonas exotoxin A has the identical mechanism of action as the diphtheria toxin (DT) A subunit. DT, which is produced by the respiratory tract pathogen
Corynebacterium diphtheriae, causes a systemic disease considered a paradigm for bacterial toxinosis [
40]. Biochemical cross-linking studies and sequence analysis revealed that the ExoA and DT A subunits share the same active site amino acids in a conserved pocket [
100]. The role of diphtheria toxin in disease has been established by the overwhelming success of the DT toxoid vaccine, which reduced incidence of an infectious disease that had a significant impact on the human lifespan [
25,
101]. The functional equivalence of the ExoA and DT A subunits are apparent and both are produced by bacteria with established roles in pathogenesis, which may potentially lead to the error of unwarranted extrapolation from the conclusive findings associated with DT A to ExoA (
Table 1). In support of the hypothesis that ExoA has a role in human disease is a 1979 study by Pollack, et al. [
102] that demonstrated increased antibody production to ExoA and lipopolysaccharide in patients who survived pseudomonas infections satisfying our proposed guideline for an immunologic response to infection by a VF-producing pathogen (point 7, below). Bacterial exotoxins such as ExoA deserve special consideration as VFs because, when considered as distinct gene products, they seem to be well-adapted tools that contribute to tissue damage and, in some instances, promote dissemination of their bacterial producer [
103].
Exotoxins are divided into membrane-disrupting cytolysins and the cytotoxins that possess specialized enzymatic activity that selectively alter eukaryotic cell function [
104]. Based on their mechanisms of action, we can speculate that cytolysins have defensive capabilities resisting bacterivorous predators or serve the bacterium by facilitating escape from an endocytotic vesicle into the sheltered environment of the cytoplasm [
105]. So, we may predict that the ubiquitous phospholipid bilayer that comprises cytoplasmic membranes is a universal target for cytolysins which serve to defend the bacterium against a protist in the environment or a macrophage when infecting a mammalian host. On the other hand, cytotoxins seem to have evolved specific targeting capabilities with the enzymatic activity of the cytotoxin A subunit uniquely adapted to specific cellular functions. In some examples, such as the calmodulin requirement of pertussis toxin, the enzyme can subvert eukaryotic signaling mechanisms to affect increased cytoplasmic cAMP concentrations [
106]. Therefore, it would appear that cytotoxins are the prototypic bacterial VF that exist to cause disease. Their functions include the hallmarks of bacterial pathogenesis, which are evasion of the host immune response, tissue damage, and dissemination of the pathogen. However, this hypothesis neglects the Trojan horse model that has been proposed to characterize the microbe and predator arms race [
8,
34]. Toxin A subunits, with their enzyme function devoid of the receptor-binding B subunit, delivered directly into the cytoplasm of a protist will kill it [
41]. So, if toxin A subunits evolved to kill the predator when the bacterium has been ingested, what were the selective pressures that drove association with a B subunit with highly specific receptor recognition? Exotoxin B subunits are specific to a particular cell receptor, and in some examples such as cholera toxin, pertussis toxin, and the Shiga toxins, they are structurally complex [
106]. Their closest analogue in the prokaryotic world are pore-forming cytolysins which bind to specific membrane receptors, penetrate, and eventually disrupt the phospholipid bilayer. To form one of the Shiga toxins, for example, the C-terminus of the A subunit penetrates the B pentamer pore and is “locked” in place through electrostatic interaction [
107]. Similar complexity can be observed with the type 3 secretion apparatus of bacterial pathogens which serves specific functions for transmembrane effector delivery [
33,
108]. The origins of the cytotoxin B subunit and the evolutionary pressure that led to their association with the A subunit are worthy of exploration.
6. Sources of Error in the Characterization of Virulence Factors
A current paradigm is that bacterial pathogenesis is associated with the variety and potency of VFs that allow the microbe to survive the mammalian host as a new niche and, depending on the appropriateness of the host response, cause disease [
109]. The discovery and characterization of bacterial toxins dates back to the characterization of anthrax by Pasteur and has led to the development of attenuated toxoids to prevent human diseases such as diphtheria and tetanus [
25]. This is a heuristic process that involved projecting a known onto an unknown property as a categorical induction, which is a powerful process for discovery [
43]. This type of induction involves projecting a known property of one item in a particular category onto another item in the same category. Genomic analysis is a powerful method to achieve this task and should be used to identify putative VFs - even from bacteria not known to have a role in disease that may have evolutionary links to well-known pathogens [
15]. However, investigators should remain continuously aware of the variety of cognitive biases that can contribute to scientific error. In this example, based solely on in vitro empiricism, a protein may be mis-categorized as a VF that contributes to disease when its only purpose is to defend a bacterium from protist grazing. Conventional thinking can act as an obstacle to the development of better models that consider the capacity for a bacterium to adapt to a new ecological niche followed by an investigation into their role in pathogenesis [
110].
In biologic systems, the proof of causation is contingent upon empirical observation and, in the quest for VF identification, we want a precise characterization of the sort of observations that are required to determine disease causation. As described by Fredericks and Rhelman [
13] in the context of Koch’s postulates, the introduction of new technologies in the field of microbial pathogenesis results in an ongoing need to reassess how virulence attributes are defined. In his review addressing causation and disease, Evans [
111] points out that technological developments in the 1960s-1970s yielded the identification of new agents (e.g., viruses) by electron microscopy which had no known role in disease at the time. Because these viruses could not be propagated in tissue culture, serological analysis was used to establish immunological proofs of causation. Therefore, we have included immunologic response as a criterion for the identification of VFs in our guidelines (see below). Sequencing technologies have the advantage of detecting organisms that are not culturable or observable by other existing technologies. However, while sequence homologies are a valuable first step, they cannot be the sole criterion used for the identification of new VFs. Additional evidence is required such as correlation of the disease process with gene mutation and complementation (using the best available model), detection of an immune response following natural infection, and demonstration that vaccines or target therapeutic agents ameliorate disease [
21].
Should we pause the quest to identify new bacterial VFs by searching for sequence homologies to consider their epistemological origins? This question was raised over two decades ago [
112] and remains a current concern. We propose considering the biases that can impact the growth of scientific knowledge [
113] in the context of VF identification. For example, if a gene product is shown to have a cytopathic effect in vitro then it becomes labelled as an exotoxin with a presumed role in pathogenesis. This is a potential example of heuristic weakness, which is the need to categorize empirical observations to fit a familiar narrative [
114]. Notwithstanding the number of genes identified as VFs by sequence homology, we should strive to identify what would
disprove their role in pathogenesis. We suggest that a cautious approach to classification of a putative VF should be exercised. For example, what is the evolutionary origin of the gene and are there evolutionary pressures to maintain the gene? Is the gene for the putative VF carried on an MGE and transmitted amongst a bacterial population by HGT or is it a relatively stable element as seen in obligate intracellular pathogens such as
Chlamydia trachomatis and
Mycobacterium tuberculosis [
17]? Are global regulators that are resident in the bacterial chromosome responsible for controlling expression of the putative VF or are the regulatory genes carried on a pathogenicity island supporting the hypothesis that selective pressure maintains these elements as a discrete unit? We need to establish that if a criterion for the identification of a VF is to ultimately develop a strategy to ameliorate its effect during an infection, then that should obviate gene products that are constitutively expressed and serve as fitness factors as described by Kreibich and Brussow [
21,
22]. The goal of developing our guidelines was to restrict VF characterization to those factors that have been shown to have a direct role in pathogenesis [
109] bearing in mind the processes of both biological and epistemological evolution that have affected this effort in the past.
7. Proposed Guidelines for Characterizing Virulence Factors
In an effort to avoid bias and to foster scientific rigor, we submit the following considerations when characterizing a bacterial gene product as a VF:
If the identification of a VF is based entirely on in vitro studies with activity extrapolated to a role in mammalian pathogenesis, then it should be designated as a “putative VF” until evidence provides sufficient warrant for categorization.
If identification of a VF is based on sequence homology without fulfilling significant criteria establishing its role in disease then it should be designated as a “putative VF” until evidence provides sufficient warrant for categorization.
Fitness factors and host interaction factors that do not extend the disease-causing potential beyond commensalism should not be categorized as VFs.
Necessary conditions for VF categorization:
- 4.
The VF is produced by a bacterium with an established role in disease.
- 5.
An evolutionary role for the VF in niche survival has been correlated to disease causation.
- 6.
A role in pathogenesis has been empirically established by loss of function (mutation or suppression) and gain of function (complementation) experiments.
- 7.
An immunologic response is observed in response to infection by the VF-producing pathogen.
- 8.
Therapeutic strategies such as active or passive immunization to the VF or a targeted therapeutic agent have been shown to prevent disease progression.
8. Conclusions
The guidelines for VF characterization are intended to encourage rigorous appraisal of the evidence that purportedly supports the factor’s role in disease causation. A goal of this essay is to propose consideration of the role that VFs have in a broader evolutionary context beyond mammalian disease. One proposed approach would be to use their natural protists hosts as eukaryotic models of pathogenesis [
42] in conjunction with the traditional use of mammalian-derived tissue culture assays. We seek to broaden to scope of VF characterization to include evidence that provides a definitive link to human disease prior to investigating therapeutic interventions [
115]. A concept not made explicit in our guidelines is the distinction between the activities of a VF at the molecular level and pathogenic potential [
109]. In that context, it would be necessary to consider the potential for damage caused by bacterial VFs irrespective of the host response.
Glossary of Terms
Analogy by induction or false Analogy
The argument that based on similarity, what is true for one is true for the other. Analogy by induction or false analogy may be used to categorize a putative VF based on sequence similarity to an established VF.
Anthropocentric
Considering human beings as the central entity in the universe. In the context of microbial pathogenesis, this heuristic bias disregards the process of natural selection that contributed to the evolution of VFs and instead focuses on their role in human disease.
Categorical induction
An inductive process based on comparison to an exemplar. For example, sequence homology or functional analogy may lead to the categorization of a newly discovered gene product as a VF.
Causation vs. correlation
The erroneous conclusion that because two events are associated one event is caused by the other. The expression of a particular gene product during infection does not prove that it contributes to pathogenesis.
Confirmation bias
A tendency to seek evidence that supports a prior belief. Hypotheses should be continuously reassessed to determine what would falsify the claim (see Popper and Platt’s strong inference).
Empirical adequacy
Explanations that are good enough at that particular time to advance scientific discovery.
Empirical observation
A common practice in science; information is gathered based on observation.
Epistemology
A branch of philosophy that studies the nature and extent of knowledge. In this report, we seek to question the knowledge used to prove that a putative VF has a role in bacterial pathogenesis.
False premise
An incorrect proposition used in an argument. For example, the premise that if a gene product causes disease in animals then it will also cause disease in humans may be false although it is frequently used for VF classification.
Heuristic
The decision-making process that humans use; sometimes referred to as a mental short-cut. The heuristic process is prone to various biases that can affect decisions.
Lamarckian evolution
Evolutionary hypothesis proposed by the French naturalist Jean Baptiste de Lamarck (1744 - 1829) that suggests an organism can pass on a physical characteristic that was acquired through a lifetime of use in a single generation. Widely disregarded in favor of natural selection, there are Lamarckian aspects of bacterial and host evolution evident within a Darwinian framework.
Narrative fallacy
A flawed characterization based on a sequence of facts that reflects a human tendency to practice “makes-sense epistemology” as part of the decision-making process.
Platt’s strong inference
In a 1963 address to the American Chemical Society, John Platt described a disciplined process of falsification of multiple hypotheses that he referred to as strong inference. In his address, he described how strong inference was used by some of the most highly successful laboratories of the time.
Underdetermination
Evidence available to us at a given time may be insufficient to determine what beliefs we should hold in response to it.
Unwarranted extrapolation
Application of a conclusion based on evidence obtained in one instance to a different case. For example, protection of mice from a hemagglutinin using an anticoagulant does not establish the effectiveness of this therapeutic intervention in humans.
Warrant
The property of a belief that substantiates it as knowledge. A scientific theory is warranted if the evidence supporting it at that time is equivalent to its empirically founded alternatives.
Author Contributions
All authors (MJ, KRT, SV) contributed equally to the work.
Funding
This research received no external funding.
Conflicts of Interest
The authors declare no conflicts of interest.
References
- Koch R. Uber bakteriologische Forschung. Verhandlung des X Internationalen Medichinischen Congresses, Berlin, 1890, 1, 35. August Hirschwald, Berlin. (In German.) Xth International Congress of Medicine, Berlin; 1891.
- Darwin C, Kebler L. On the origin of species by means of natural selection, or, The preservation of favoured races in the struggle for life. London: J; 1859.
- Sokurenko EV, Hasty DL, Dykhuizen DE. Pathoadaptive mutations: gene loss and variation in bacterial pathogens. Trends Microbiol. 1999;7(5).
- Andersson A, Ahlinder J, Mathisen P, Hägglund M, Bäckman S, Nilsson E, Sjödin A. Predators and nutrient availability favor protozoa-resisting bacteria in aquatic systems. Nat Sci Rep. 2018;8:8415. [CrossRef]
- Matz C, Kjelleberg S. Off the hook – how bacteria survive protozoan grazing. Trends Microbiol. 2005;13(7). [CrossRef]
- Rayamajhee B, Willcox MDP, Henriquez FL, et al. Acanthamoeba, an environmental phagocyte enhancing survival and transmission of human pathogens. Trends Parasitol. 2022;38(11). [CrossRef]
- Shteindel N, Gerchman Y. Pseudomonas aeruginosa Mobbing-Like Behavior against Acanthamoeba castellanii Bacterivore and Its Rapid Control by Quorum Sensing and Environmental Cues. Microbiology Spectrum. 2021;9(3):e00642-21.
- Barker J, Brown MRW. Trojan Horses of the microbial world: protozoa and the survival of bacterial pathogens in the environment. Microbiology. 1994;140:1253-1259.
- Casadevall A, Pirofski LA. Accidental Virulence, Cryptic Pathogenesis, Martians, Lost Hosts, and the Pathogenicity of Environmental Microbes. Eukaryot Cell. 2007;6(12):2169-2174. [CrossRef]
- Erken M, Lutz C, McDougald D. The Rise of Pathogens: Predation as a Factor Driving the Evolution of Human Pathogens in the Environment. Microb Ecol. 2013;65:860–868. [CrossRef]
- Adiba S, Nizak C, van Baalen M, Denamur E, Depaulis F. From Grazing Resistance to Pathogenesis: The Coincidental Evolution of Virulence Factors. PLoS ONE. 2010;5(8):e11882. [CrossRef]
- Alizon S, Michalakis Y. Adaptive virulence evolution: the good old fitness-based approach. Trends Ecol Evol. 2015;30(5). [CrossRef]
- Fredricks DN, Relman DA. Sequence-Based Identification of Microbial Pathogens: A Reconsideration of Koch’s Postulates. Clin Microbiol Rev. 1996 Jan;9(1):18-33.
- Diard M, Hardt WD. Evolution of bacterial virulence. FEMS Microbiol Rev. 2017;41(6):679-697. [CrossRef]
- Liu B, Zheng D, Zhou S, Chen L, Yang J. VFDB 2022: a general classification scheme for bacterial virulence factors. Nucleic Acids Res. 2022;50(Database issue):D1250-D1256. [CrossRef]
- Doxey AC, Mansfield MJ, Lobb B. Exploring the evolution of virulence factors through bioinformatic data mining. mSystems. 2019;4:e00162-19. [CrossRef]
- Ho Sui SJ, Fedynak A, Hsiao WWL, Langille MGI, Brinkman FSL. The Association of Virulence Factors with Genomic Islands. PLoS ONE. 2009;4(12):e8094. [CrossRef]
- Hung DT, Shakhnovich EA, Pierson E, Mekalanos JJ. Small-molecule inhibitor of Vibrio cholerae virulence and intestinal colonization. Science. 2005;310(5748):670-4. [CrossRef] [PubMed]
- Rüssmann, H. Inverted pathogenicity: the use of pathogen-specific molecular mechanisms for prevention or therapy of disease. Int J Med Microbiol. 2004;293(7-8):565-9. [CrossRef] [PubMed]
- Brown NF, Wickham ME, Coombes BK, Finlay BB. Crossing the line: Selection and evolution of virulence traits. PLoS Pathog. 2006;2(5):e42. [CrossRef]
- Kreibich S, Hardt WD. Experimental approaches to phenotypic diversity in infection. Curr Opin Microbiol. 2015;27:25-36. [CrossRef]
- Brussow, H. Bacteria between protists and phages: from antipredation strategies to the evolution of pathogenicity. Mol Microbiol. 2007;65(3):583-589. [CrossRef]
- Doxey AC, McConkey BJ. Prediction of molecular mimicry candidates in human pathogenic bacteria. Virulence. 2013;4(6):453-466. [CrossRef]
- Greub G, Raoult D. History of the ADP/ATP-Translocase-Encoding Gene, a Parasitism Gene Transferred from a Chlamydiales Ancestor to Plants 1 Billion Years Ago. Appl Environ Microbiol. 2003;69(9):5530-5535. [CrossRef]
- Lederberg, J. Infectious History. Science. 1998;288(5464):287.
- Molmeret M, Horn M, Wagner M, Santic M, Abu Kwaik Y. Amoebae as Training Grounds for Intracellular Bacterial Pathogens. Appl Environ Microbiol. 2005;71(1):20-28. [CrossRef]
- Bertelli C, Greub G. Lateral gene exchanges shape the genomes of amoeba-resisting microorganisms. Front Cell Infect Microbiol. 2012;2. [CrossRef]
- Brandl MT, Rosenthal BM, Haxo AF, Berk SG. Enhanced Survival of Salmonella enterica in Vesicles Released by a Soilborne Tetrahymena Species. Appl Environ Microbiol. 2005 Mar;71(3):1562-1569. [CrossRef]
- Cordes MHJ, Binford GJ. Lateral gene transfer of a dermonecrotic toxin between spiders and bacteria. Bioinformatics Discovery Note. 2006;22(3):264-268. [CrossRef]
- Brussow H, Canchaya C, Hardt WD. Phages and the Evolution of Bacterial Pathogens: from Rearrangements to Lysogenic Conversion. Microbiol Mol Biol Rev. 2004;68:560-602. [CrossRef]
- Maurelli AT. Black holes, antivirulence genes and gene inactivation in the evolution of bacterial pathogens. FEMS Microbiol Lett. 2007;267:1-8. [CrossRef]
- Brown JR. Ancient Horizontal Gene Transfer. Nat Rev Genet. 2003;4.
- Zhang D, de Souza RF, Anantharaman V, Iyer LM, Aravind L. Polymorphic toxin systems: Comprehensive characterization of trafficking modes, processing, mechanisms of action, immunity and ecology using comparative genomics. Biol Direct. 2012;7:18.
- Arnold JW, Koudelka GB. The Trojan Horse of the microbiological arms race: phage-encoded toxins as a defence against eukaryotic predators. Environ Microbiol. 2014;16(2):454–466. [CrossRef]
- Gandon S, Day T. Evidences of parasite evolution after vaccination. Vaccine. 2008;26S.
- Matz C, Bergfeld T, Rice SA, Kjelleberg S. Microcolonies, quorum sensing and cytotoxicity determine the survival of Pseudomonas aeruginosa biofilms exposed to protozoan grazing. Environ Microbiol. 2004;6(3):218-226. [CrossRef]
- Leong W, Poh WH, Williams J, et al. Adaptation to an Amoeba Host Leads to Pseudomonas aeruginosa Isolates with Attenuated Virulence. Appl Environ Microbiol. 2022;88(5).
- Maureen A. O’Malley, Philosophy of Microbiology, Cambridge University Press, 2014.
- Koonin EV, Wolf YI. Is evolution Darwinian or/and Lamarckian? Biol Direct. 2009;4:42. PMCID: PMC2781790. [CrossRef] [PubMed]
- Casadevall A, Pirofski LA. Host-Pathogen Interactions: Redefining the Basic Concepts of Virulence and Pathogenicity. Infect Immun. 1999;67(8):3703-3713.
- DasGupta BR. Botulinum neurotoxins: Perspective on their existence and as polyproteins harboring viral proteases. J Gen Appl Microbiol. 2006;52:1-8.
- Kebbi-Beghdadi C, Greub G. Importance of amoebae as a tool to isolate amoeba-resisting microorganisms and for their ecology and evolution: the Chlamydia paradigm. Environ Microbiol Rep. 2014;6(4):309–324. [CrossRef]
- Dunbar KN, Klahr D. Scientific Thinking and Reasoning. In: Oxford Handbook of Thinking and Reasoning. Oxford University Press; Chapter 35. Available from: https://www.researchgate.net/publication/232242213_Scientific_Thinking.
- Dinges MM, et al., 2000. Exotoxins of Staphylococcus aureus. Clin. Microbiol. Rev. 13(1):16-34.
- Bubeck Wardenburg J, Bae T, Otto M, et al. Poring over pores: alpha-hemolysin and Panton-Valentine leukocidin in Staphylococcus aureus pneumonia. Nat Med. 2007;13(12):1405–1406.
- Kobayashi SD, Malachowa N, Whitney AR, et al. Comparative analysis of USA300 virulence determinants in a rabbit model of skin and soft tissue infection. J Infect Dis. 2011;204(6):937–941.
- Villaruz AE, Bubeck Wardenburg J, Khan BA, Whitney AR, Sturdevant DE, Gardner DJ, DeLeo FR, Otto M. A point mutation in the agr locus rather than expression of the Panton-Valentine leukocidin caused previously reported phenotypes in Staphylococcus aureus pneumonia and gene regulation. J Infect Dis. 2009 Sep 1;200(5):724-34. PMCID: PMC2777534. [CrossRef] [PubMed]
- Lina G, Piémont Y, Godail-Gamot F, Bes M, Peter M-O, Gauduchon V, Vandenesch F, Etienne J. Involvement of Panton-Valentine Leukocidin—Producing Staphylococcus aureus in Primary Skin Infections and Pneumonia, Clinical Infectious Diseases, Vol 29, November 1999, 1128–1132, doi.org/10.1086/313461.
- Atkins KL, Burman JD, Chamberlain ES, Cooper JE, Poutrel B, Bagby S, Jenkins AT, Feil EJ, van den Elsen JM. S. aureus IgG-binding proteins SpA and Sbi: host specificity and mechanisms of immune complex formation. Mol Immunol. 2008;45(6):1600-11. [CrossRef]
- Berends ET, Horswill AR, Haste NM, et al. Nuclease expression by Staphylococcus aureus facilitates escape from neutrophil extracellular traps. J Innate Immun. 2010;2(6):576–586.
- McAdow M, Kim HK, Dedent AC, et al. Preventing Staphylococcus aureus sepsis through the inhibition of its agglutination in blood. PLoS Pathog. 2011;7(10): e1002307.
- Ko Y-P, Kuipers A, Freitag CM, et al. Phagocytosis escape by a Staphylococcus aureus protein that connects complement and coagulation proteins at the bacterial surface. PLoS Pathog. 2013;9(12):e1003816.
- Jongerius I, von Köckritz-Blickwede M, Horsburgh MJ, Ruyken M, Nizet V, Rooijakkers SH. Staphylococcus aureus virulence is enhanced by secreted factors that block innate immune defenses. J Innate Immun. 2012;4(3):301-11. [CrossRef]
- Friedrich R, et al., 2003. Staphylocoagulase is a prototype for the mechanism of cofactor-induced zymogen activation. Nature. 425(6957):535-539.
- Peetermans M, Vanassche T, Liesenborghs L, et al. Plasminogen activation by staphylokinase enhances local spreading of S. Aureus in Skin Infections. BMC Microbiol. 2014;14:310.
- McAdow M, et al., 2012. Coagulases as determinants of protective immune responses against Staphylococcus aureus. Infect Immun. 80(10):3389-3398.
- Cheung GYC, Bae JS, Otto M. Pathogenicity and virulence of Staphylococcus aureus. Virulence. 2021;12(1):547-569. doi.org/10.1080/21505594.2021.1878688.
- Boyle-Vavra S, Li X, Alam MT, et al. USA300 and USA500 clonal lineages of Staphylococcus aureus do not produce a capsular polysaccharide due to conserved mutations in the cap5 locus. mBio. 2015;6(2).
- Nemeth J, Lee JC. Antibodies to capsular polysaccharides are not protective against experimental Staphylococcus aureus endocarditis. Infect Immun. 1995;63(2):375–380.
- Rooijakkers SHM, Ruyken M, Roos A, et al. Immune evasion by a staphylococcal complement inhibitor that acts on C3 convertases. Nat Immunol. 2005;6(9):920–927.
- Jongerius I, von Kockritz-blickwede M, Horsburgh MJ, et al. Staphylococcus aureus virulence is enhanced by secreted factors that block innate immune defenses. J Innate Immun. 2012;4(3):301–311.
- Casilag F, Lorenz A, Krueger J, Klawonn F, Weiss S, Häussler S. The LasB Elastase of Pseudomonas Aeruginosa Acts in Concert With Alkaline Protease AprA to Prevent Flagellin-Mediated Immune Recognition. Infect Immun. 2015;84(1):162. [CrossRef]
- Sun Z, Kang Y, Norris MH, et al. Blocking Phosphatidylcholine Utilization in Pseudomonas Aeruginosa, via Mutagenesis of Fatty Acid, Glycerol and Choline Degradation Pathways, Confirms the Importance of This Nutrient Source In Vivo. PLoS One. 2014;9(7):e103778. [CrossRef]
- Michalska M, Wolf P. Pseudomonas Exotoxin A: Optimized by Evolution for Effective Killing. Front Microbiol. 2015;6. [CrossRef]
- Yahr TL, Vallis AJ, Hancock MK, Barbieri JT, Frank DW. ExoY, an Adenylate Cyclase Secreted by the Pseudomonas Aeruginosa Type III System. Proc Natl Acad Sci. 1998;95(23):13899–13904. [CrossRef]
- Sundin C, Henriksson ML, Hallberg B, Forsberg Å, Frithz-Lindsten E. Exoenzyme T of Pseudomonas Aeruginosa Elicits Cytotoxicity Without Interfering With Ras Signal Transduction. Cell Microbiol. 2001;3(4):237–246. [CrossRef]
- Horna G, Ruiz J. Type 3 secretion system of Pseudomonas aeruginosa, Microbiological Research, Vol 246, 2021. [CrossRef]
- Tielen P, Kuhn H, Rosenau F, Jaeger K-E, Flemming H-C, Wingender J. Interaction Between Extracellular Lipase LipA and the Polysaccharide Alginate of Pseudomonas Aeruginosa. BMC Microbiol. 2013;13(1):159. [CrossRef]
- Persat A, Inclan YF, Engel JN, Stone HA, Gitai Z. Type IV Pili Mechanochemically Regulate Virulence Factors in Pseudomonas Aeruginosa. Proc Natl Acad Sci. 2015;112(24):7563–7568. [CrossRef]
- Engel LS, Hill JM, Caballero AR, Green LC, O’Callaghan RJ. Protease IV, a Unique Extracellular Protease and Virulence Factor From Pseudomonas Aeruginosa. J Biol Chem. 1998;273(27):16792–16797. [CrossRef]
- Bradshaw JL, Caballero AR, Bierdeman MA, et al. Pseudomonas Aeruginosa Protease IV Exacerbates Pneumococcal Pneumonia and Systemic Disease. mSphere. 2018;3(3):e00212-18. [CrossRef]
- Bianchi SM, Prince LR, McPhillips K, et al. Impairment of Apoptotic Cell Engulfment by Pyocyanin, a Toxic Metabolite of Pseudomonas Aeruginosa. Am J Respir Crit Care Med. 2008;177(1):35–43. [CrossRef]
- Bonneau A, Roche B, Schalk IJ. Iron Acquisition in Pseudomonas aeruginosa by the Siderophore Pyoverdine: An Intricate Interacting Network Including Periplasmic and Membrane Proteins. Sci Rep. 2020;10(1):1–11. [CrossRef]
- Sass G, Conrad L, Nguyen T, Stevens DA. The Pseudomonas Aeruginosa Product Pyochelin Interferes With Trypanosoma Cruzi Infection and Multiplication In Vitro. Trans R Soc Trop Med Hyg. 2020;114(7):492–498. [CrossRef]
- Liao C, Huang X, Wang Q, Yao D, Lu W. Virulence Factors of Pseudomonas aeruginosa and Antivirulence Strategies to Combat Its Drug Resistance. Frontiers in Cellular and Infection Microbiology, 12 2022. ISSN 2235-2988. [CrossRef]
- The Stanford Encyclopedia of Philosophy. Principal Editor: Edward N. Zalta. The Metaphysics Research Lab, Philosophy Department, Stanford University. ISSN 1095-5054. Available from: https://plato.stanford.
- Platt JR. Strong Inference. Science. 1964. Available from: https://courses.pbsci.ucsc.edu/eeb/bioe200b/pdf%20files/Platt%20Science%201964%20Stronf%20Inference.pdf.
- Young BC, Golubchik T, Batty EM, et al. Evolutionary dynamics of Staphylococcus aureus during progression from carriage to disease. PNAS. 2012;109(12). doi/10.1073/pnas.1113219109.
- Corvaglia A-R, van der Mee-Marquet N, François P. The Staphylococcus aureus CC398 Lineage: An Evolution Driven by the Acquisition of Prophages and Other Mobile Genetic Elements. Genes. 2021;12(11):1752. [CrossRef]
- Lindsay JA. Genomic variation and evolution of Staphylococcus aureus. Int J Med Microbiol. 2010;300:98–103. [CrossRef]
- Feng Y, Chen CJ, Su LH, Hu S, Yu J, Chiu CH. Evolution and pathogenesis of Staphylococcus aureus: lessons learned from genotyping and comparative genomics. FEMS Microbiol Rev. 2008;32:23–37. [CrossRef]
- Giulieri SG, Guérillot R, Duchene S, et al. Niche-specific genome degradation and convergent evolution shaping Staphylococcus aureus adaptation during severe infections. eLife. 2022;11:e77195. [CrossRef]
- Laabei M, Uhlemann A-C, Lowy FD, et al. Evolutionary Trade-Offs Underlie the Multi-faceted Virulence of Staphylococcus aureus. PLoS Biol. 2015;13(9):e1002229. [CrossRef]
- Altman DR Sullivan MJ, Chacko KI, Balasubramanian D, Pak TR, Sause WE, Kumar K, Sebra R Deikus Gattie O, Rose H, Lewis M, Fulmer Y, Bashir A, Kasarskis ASchadt EE Richardson AR, Torres VJ, Shopsin B, van Bakel H 2018. Genome Plasticity of agr-Defective Staphylococcus aureus during Clinical Infection. Infect Immun 86:10.1128/iai.00331-18.
- Kwiecinski JM, Horswill AR. Staphylococcus aureus bloodstream infections: pathogenesis and regulatory mechanisms. Curr Opin Microbiol. 2020 Feb;53:51-60. [CrossRef]
- John J. The treatment of resistant staphylococcal infections. 2020;9:F1000 Faculty Rev-150. [CrossRef]
- Diard M, Garcia V, Maier L, et al. Stabilization of cooperative virulence by the expression of an avirulent phenotype. Nature. 2013;494:353. [CrossRef]
- Gill JL, Hedge J, Wilson DJ, MacLean RC. Evolutionary Processes Driving the Rise and Fall of Staphylococcus aureus ST239, a Dominant Hybrid Pathogen. Mbio. 2021;12(6):e02168-21.
- Davis CE, Anandan J. The Evolution of R Factor — A Study of a Preantibiotic Community in Borneo. N Engl J Med 1970; 282:117-122. [CrossRef]
- Doekes HM, de Boer RJ, Hermsen R. Toxin production spontaneously becomes regulated by local cell density in evolving bacterial populations. PLoS Comput Biol. 2019 Aug;15(8):e1007333. [CrossRef]
- Raymond B, West S, Griffin A, Bonsall MB. The dynamics of cooperative bacterial virulence in the field. Science. 2012;337:85-88. [CrossRef]
- Rumbaugh KP, Diggle SP, Watters CM, et al. Quorum Sensing and the Social Evolution of Bacterial Virulence. Curr Biol. 2009;19:341-345. doi 10.1016/j.cub.2009.01.050.
- West SA, Griffin AS, Gardner A, Diggle SP. Social evolution theory for microorganisms. Nat Rev Microbiol. 2006;4.
- Buckling A, Brockhurst MA. Kin selection and the evolution of virulence. Nat Hered. 2008;100:484-488.
- Cremer J, Melbinger A, Frey E. Growth dynamics and the evolution of cooperation in microbial populations. Sci Rep. 2012;2:281. [CrossRef]
- Andersen SB, Marvig RL, Molina S, Johansen HK, Griffin AS. Long-term social dynamics drive loss of function in pathogenic bacteria. PNAS. 2015;112(34). [CrossRef]
- Schulze A, Mitterer F, Pombo JP, Schild S. Biofilms by bacterial human pathogens: Clinical relevance - development, composition and regulation - therapeutical strategies. Microb Cell. 2021;8(2):28-56. [CrossRef]
- West SA, Diggle SP, Buckling A, Gardner A, Griffin AS. The Social Lives of Microbes. Annu Rev Ecol Evol Syst. 2007;38:53-77.
- Matz C, Moreno AM, Alhede M, et al. Pseudomonas aeruginosa uses type III secretion system to kill biofilm-associated amoebae. The ISME Journal. 2008;2:843-852. [CrossRef]
- Carroll SF, Collier RJ. Active site of Pseudomonas aeruginosa exotoxin A. Glutamic acid 553 is photolabeled by NAD and shows functional homology with glutamic acid 148 of diphtheria toxin. J Biol Chem. 1987;262(18):8707-11.
- Centers for Disease Control and Prevention. Vaccines and Preventable Diseases.
- Pollack M, Young LS. Protective activity of antibodies to exotoxin A and lipopolysaccharide at the onset of Pseudomonas aeruginosa septicemia in man. J Clin Invest. 1979;63(2):276-286. [CrossRef]
- Williams PH, Clarke SC. Why do microbes have toxins? J Appl Microbiol Symposium Supplement. 1998;84:1S-6S.
- Kumar R, Feltrup TM, Kukreja RV, et al. Evolutionary Features in the Structure and Function of Bacterial Toxins. Toxins. 2019;11(1):15. [CrossRef]
- Rudkin JK, McLoughlin RM, Preston A, Massey RC. Bacterial toxins: Offensive, defensive, or something else altogether? PLoS Pathog. 2017 Sep;13(9):e1006452. [CrossRef]
- do Vale A, Cabanes D, Sousa S. Bacterial Toxins as Pathogen Weapons Against Phagocytes. Front Microbiol. 2016;7:42. [CrossRef]
- Haddad JE, Jackson MP. Identification of the Shiga toxin A-subunit residues required for holotoxin assembly. J Bacteriol. 1993;175(23):7652-7. [CrossRef]
- Stavrinides J, McCann HC, Guttman DS. Host–pathogen interplay and the evolution of bacterial effectors. Cell Microbiol. 2008 Feb;10(2):285-292. [CrossRef]
- Casadevall A. The Pathogenic Potential of a Microbe. mSphere. 2017;2(1):e00015-17. [CrossRef] [PubMed]
- Méthot P-O. Why do Parasites Harm Their Host? On the Origin and Legacy of Theobald Smith’s "Law of Declining Virulence" - 1900-1980. Hist Phil Life Sci. 2012;34:561-601.
- Evans AS. Causation and Disease: The Henle-Koch Postulates Revisited. 1976. The Yale Journal of Biology and Medicine. 49:175-195.
- Wassenaar TM, Gaastra W. Bacterial virulence: can we draw the line? FEMS Microbiology Letters, Volume 201, Issue 1, July 2001, Pages 1–7. [CrossRef]
- McIntyre L. The Scientific Attitude, Defending Science from Denial, Fraud, and Pseudoscience. MIT Press; 2019.
- Taleb, Nassim Nicholas. The Black Swan. Harlow, England: Penguin Books; 2008.
- Alksne LE, Projan SJ. Bacterial virulence as a target for antimicrobial chemotherapy. Current Opinion in Biotechnology,Vol11, Issue 6, 2000, 625-636.
Table 1.
Putative VFs of Staphylococcus aureus and Pseudomonas aeruginosa.
Table 1.
Putative VFs of Staphylococcus aureus and Pseudomonas aeruginosa.
VF |
VFDB categorizationa |
Findings and limitations |
Reasoning errorb
|
Reference |
Staphylococcus aureus |
Beta hemolysin |
Membrane-acting exotoxin |
Cytotoxic Sequence homology with sphingomyelinase |
False premise Unwarranted extrapolation |
44 |
Delta hemolysin |
Membrane-acting exotoxin |
Cytotoxic Regulation of agr operon |
False premise |
44 |
Panton-Valentine leukocidin |
Membrane-acting exotoxin |
Cytotoxic Not produced by all strains |
False premise Unwarranted extrapolation |
45-48 |
Phenol-soluble modulin-alpha peptides |
Membrane-acting exotoxin |
Cytotoxic Limited host range in animal models |
False premise Unwarranted extrapolation |
45,46 |
S. aureus binder of IgG |
Immune modulation |
Immunoglobulin binding Sequence homology with protein A |
False premise Unwarranted extrapolation |
49 |
Nuclease |
Immune modulation |
Digestion of neutrophil extracellular traps |
False premise |
50 |
Fibrinogen-binding protein |
Adherence |
Hemagglutination, receptor binding Antiphagocytic activity |
False premise |
51-53 |
Coagulase |
Exoenzyme |
Hemagglutination and antiphagocytic Immunization provided protection in mouse model |
False premise Unwarranted extrapolation |
54, 56 |
Staphylokinase |
Exoenzyme |
Hemagglutination and antiphagocytic Anticoagulant treatment provided protection in mouse model |
False premise Unwarranted extrapolation |
55, 56 |
Capsule |
Immune modulation |
Antiphagocytic Not produced by all strains |
False premise Unwarranted extrapolation |
57-59 |
PIA/PNAG |
Immune modulation |
Antiphagocytic biofilm component Not produced by all strains |
False premise Unwarranted extrapolation |
57 |
Staphylococcal complement inhibitor |
Immune modulation |
Interference with complement |
False premise |
60, 61 |
Pseudomonas aeruginosa |
LasB |
Effector delivery system |
Immune evasion via modification of surface proteins |
False premise |
62 |
Phospholipase C |
Exotoxin |
Degradation of lung surfactant in murine cystic fibrosis model |
False premise |
63 |
Exotoxin A |
Exotoxin |
Antibody response during infection Functionally analogous to DTAc
|
Unwarranted extrapolation |
64, 102 |
Exo S,T,U,Y |
Effector delivery system |
Functionally analogous to CyaA and EFd
|
Unwarranted extrapolation |
65-67 |
Lipase A |
Biofilm formation |
Antiphagocytic biofilm component |
False premise |
68 |
Alkaline protease |
Exoenzyme |
Immune evasion via modification of surface proteins |
False premise |
62 |
Type IV pili |
Adherence |
Receptor binding in vitro |
False premise |
69 |
Protease IV |
Exoenzyme |
Immune evasion via degradation of immunoglobulin, complement and interleukin 22 |
False premise |
70,71 |
Pyocyanin |
Nutritional/Metabolic factor |
Environmental survival Suppresses immune response |
False premise |
72 |
Pyoverdine/Pyochelin |
Nutritional/Metabolic factor |
Provides competitive advantage over Aspergillus in cystic fibrosis lung |
False premise |
73,74 |
|
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).