1. Introduction
The marine environment is the largest ecological habitat on the planet. The Earth’s oceans cover over 70% of the planet’s surface and reach depths of over 10,000m [
1]. Each layer, or zone, of the ocean is its own ecological niche that is distinguishable based on factors such as temperature, salinity and sunlight availability [
2]. The top layers (epipelagic and mesopelagic zones) sustain a high abundance of diverse life and are very metabolically active. In contrast, the deep ocean layers (bathypelagic, abyssal and hadal zones) are subject to low temperatures, high hydrostatic pressure and lack of sunlight [
3]. From hydrothermal vents to the deep, dark trenches, marine fish inhabit extreme environments and have as a result acquired diverse and unique physiological and molecular adaptations.
The marine environment is also a rich source of diverse natural bioactive compounds with therapeutic and economic potential. People have been aware of the healing properties of the sea and marine natural products for thousands of years; ancient Greeks, for example, used marine invertebrates to treat a wide range of health conditions, particularly disorders of the skin, digestive and genitourinary systems [
4].
To date, there are 15 clinically approved drugs derived from marine organisms, ranging from peptides to antibodies and covering a wide variety of biological activities. Many more are in various stages of clinical trials [
5]. We are in an age when there is a huge demand for novel antimicrobials and alternative treatments to antibiotics. Antimicrobial resistance (AMR) is an extremely concerning and global threat to human health. It has been estimated that in 2019 alone, AMR was associated with 4.95 million deaths [
6]. Traditional antibiotic treatments have become less effective, multidrug-resistant pathogens are more common yet the development of new antibiotic-based treatments has slowed dramatically over the past few decades [
7]. From 2014 to 2018 over 250 preclinical antimicrobial compounds from marine organisms were reported [
8,
9,
10]. The majority of these compounds were polyketides (35%), terpenoids (26%), alkaloids (17%) and peptides (14%), as well as lipids, lipopeptides and several other molecule types. Just over half of these molecules were produced by bacteria or fungi, and, significantly, these producers were isolated from higher organisms, particularly from marine sponges.
The mammalian gut microbiome is a well-established source of beneficial bacteria and compounds with therapeutic potential [
11,
12], and undoubtedly, this scenario is paralleled in the fish gut microbiome. There is growing interest in bioprospecting the fish gut microbiome to find novel bioactive compounds with therapeutic potential and for applications in aquaculture [
13]. The gut microbiome of fish has crucial biological functions in digestion, immune system modulation, stress response, and protection from pathogens/infection [
14]. These functions are often mediated by microorganisms and microbial metabolites, such as bacteriocins [
15]. Bacteriocins are low molecular weight (<10 kDa), ribosomally-synthesized peptides with antimicrobial activity produced by bacteria that are immune to their own bacteriocin. The antagonistic activity of bacteriocins can be bacteriocidal or bacteriostatic, and the range of susceptible target organisms can be described as broad or narrow. The classification system for bacteriocins by Cotter
et al. [
16] proposed two main classes of bacteriocins, based largely on the extent to which they are modified and the mature peptide structure. In this scheme class I bacteriocins are highly modified (e.g. lantibiotics or lanthipeptides), class II are unmodified bacteriocins, and larger (>10kDa), heat-labile antimicrobial peptides were reclassified as ‘bacteriolysins’ (formerly class III bacteriocins) [
16]. The class I lantibiotics are synthesized as prepeptides with unique lanthionine and/or β-methyllanthionine residues that undergo extensive posttranslational modification resulting in the formation of signature (methyl)lanthionine rings. Lanthipeptides can be further divided into subclasses I–V based on the enzyme(s) involved in their biosynthesis, modification, and mode of action [
17]. The class II bacteriocins are subdivided into four groups (classes IIa-d): the anti-listerial pediocin-like peptides (IIa), two-component peptides (IIb), cyclic/circular bacteriocins (IIc) and the linear and non-pediocin-like peptides (IId) [
18]. Bacteriocins are emerging as promising alternatives to conventional antibiotics due to their spectrum of activity – which can be broad or narrow, thermostability and their capacity for bioengineering and generation of variants with value-added properties [
19]. Attention is now turning to fish microbiomes as novel sources of bioactive molecules such as bacteriocins. Conventionally, the diversity of fish microbiomes has been determined using culture-dependent methods and has very likely been underestimated in terms of its abundance and richness. However, ongoing advances in culture-independent methodologies, such as metagenomic sequencing, are enabling more accurate analysis of this microbial niche. Because of the huge expanse of the marine environment, marine microorganisms are among the least explored and least accessible and thus the application of culture-independent metagenomic analysis becomes even more valuable. The marine fish gut microbiome is essentially an untapped reservoir for novel antimicrobials.
In this review, we discuss the diversity of the gut microbiomes of marine fish, with a focus on finfish: Chondrichthyes (cartilaginous fish) and Osteichthyes (bony fish). We also discuss current research on the discovery of bacteriocins from marine fish gut microbiota, their applications, and the current prospects of this microbial niche as a source of novel antimicrobials.
2. The Diversity of the Marine Fish Gut Microbiome
The marine fish gut is host to a diverse microbial community largely consisting of bacteria, with reported counts ranging from 104 – 109 [
20], as well as fungi, archaea and viruses. This community begins to form at the fish larval stage, with early colonizers originating from the egg surface, the surrounding water and the first feed [
21]. The diversity of the fish gut microbiome is then influenced by biotic and abiotic factors such as host phylogeny, trophic level (diet) and environmental salinity [
22], as well as, though to a lesser extent, environmental pH and temperature [
20,
23]. The fish gut microbiome is an important and unique niche within the marine environment, with reports that the composition of microorganisms found in marine fish gut can differ from that of the surrounding waters and can even contain species that are rarely, if at all, found in the surrounding water [
24].
The composition of the marine fish gut microbiome has already been extensively reviewed [
20,
25,
26]. Early studies on fish microbiome diversity were limited to the culturable organisms [
27,
28], however, with the emergence of next-generation sequencing (NGS) and metagenomic technologies there is now a growing number of culture-independent studies that have been able to provide a more comprehensive description of the fish gut microbiome [
29]. Findings from more recent studies which have utilized culture-independent methods are given in
Table 1. The most frequently reported phylum is Pseudomonadota (formerly Proteobacteria), followed by Bacillota (Firmicutes), Actinomycetota (Actinobacteria) and Bacteroidota (Bacteroidetes). Other abundant phyla include Mycoplasmatota (Tenericutes), Cyanobacteriota (Cyanobacteria), Fusobacteriota (Fusobacteria) and Chloroflexota (Chloroflexi). At a lower taxonomic level, Vibrionales are frequently detected, particularly species of Vibrio and Photobacterium, as well as members of the families
Moraxellaceae,
Pseudomonadaceae and
Micrococcaceae (
Table 2). Host diet is a significant determinant of the predominant taxa detected within the gut microbiome. Results reported by Sullam
et al. [
22] suggested that Bacteroidales and Clostridiales dominate the gut microbiomes of herbivorous marine fish, whilst Vibrionales and Alteromonadales are dominant in carnivorous and omnivorous marine fish. Similarly, Huang
et al. [
30] demonstrated that host feeding habits could be differentiated by “indicators”, specific bacterial taxa. It was suggested that these indicators were associated with specific symbiotic functional activities such as the production of bioactive enzymes, thus aiding in digestion within the gut.
The majority of studies of marine fish gut microbiota have focused on 16S rRNA sequence data, profiling the bacterial portion of this community. However, one recent study analyzed whole-metagenome shotgun sequencing data from the intestines of various deep-sea fish of the northern Atlantic Ocean [
31]. Overall, the most abundant phyla detected were Pseudomonadota, Bacillota, Actinomycetota and Bacteroidota, in agreement with previous studies. However, cluster analysis showed that the proportions of these phyla varied significantly between some samples. Furthermore, in one cluster a significant proportion of Eukaryota was detected, specifically Ascomycota, Basidiomycota and Euryarchaeota. In terms of the eukaryotic species, there have been suggestions that yeasts are commensals of the fish microbiome with species such as
Debaryomyces hansenii,
Saccharomyces cerevisiae and red-pigmented
Rhodotorula dominating [
25,
32]. The main archaeal groups reported in studies of marine fish gut microbiota are Crenarchaeota and Euryarchaeota [
33,
34]. Euryarchaeota have also been identified in deep-sea fish microbiota samples [
31]. These are two of the major groups of planktonic archaea found in marine environments and are key contributors to nutrient cycling in pelagic waters and deep-sea sediment [
35]. It has been suggested that the digestive tract of fish is an important habitat for archaeal groups within the marine environment, particularly the obligate anaerobic Euryarchaeota [
34].
Viruses are the most abundant entities on earth, and it is no different in the marine environment. It has been estimated that there are between 106 and 108 viruses per ml of seawater [
36]. A recent study by Geoghegan
et al. [
37] used a metagenomic-based approach to characterize the viromes of several marine fish species: They identified viral sequences that represented 11 viral families, with
Astroviridae,
Picornaviridae,
Arenviridae,
Reoviridae and
Hepadraviridae dominating. They suggested that many of the identified viruses were diet or microbiome -associated and that host phylogenetics is a significant determinant of virome diversity.
Efforts have been made to define a “core microbiome” for marine fish, however this has proven a difficult task given the diversity of marine fish and the factors that affect their microbiome diversity. Fish gut microbiota members can also be transient [
20]. Instead, it has been suggested that, perhaps, functional diversity is more important than taxonomic/phylogenetic diversity [
29,
30]. Furthermore, many of these studies have noted that a high percentage of operational taxonomic units (OTUs) could not be taxonomically assigned at the genus level, indicating the novelty and high biodiscovery potential of the marine fish gut microbiomes. For example, Huang
et al. [
30] reported that over 70% of OTUs from coastal fish gastrointestinal samples were unassigned at genus level, whilst Johny
et al. [
38] reported over 90% of the deep-sea fish gut OTUs could not be assigned at genus level.
The gut microbiome of marine fish is involved in the regulation of host processes including digestion, stress and immune responses, reproduction, and metabolism [
14,
22]. Many of these processes are mediated by the production of microbial metabolites, including antimicrobials, and bioactive enzymes.
Table 1.
The predominant phyla reported in recent culture-independent studies of marine fish gut microbiota. (phyla are listed in order of abundance where possible).
Table 1.
The predominant phyla reported in recent culture-independent studies of marine fish gut microbiota. (phyla are listed in order of abundance where possible).
FISH SPECIES |
Sample |
Predominant Phyla |
Ref. |
Gadus morhua (Atlantic Cod) |
Intestinal contents |
Pseudomonadota, Bacteroidota, Bacillota |
[39] |
Siganus fuscescens (Mottled spinefoot rabbitfish) |
Intestinal contents |
Pseudomonadota, Bacillota, Bacteroidota, Fusobacteriota, Mycoplasmatota, Cyanobacteriota |
[40] |
Various White Sea (arctic) fish |
Posterior intestine |
Pseudomonadota, Bacillota, Actinomycetota, Bacteroidota, Mycoplasmatota, Fusobacteriota |
[41] |
Various Mediterranean fish |
Midgut |
Pseudomonadota, Bacillota, Bacteroidota, Actinobacteriota, Patescibacteria, Fusobacteriota, Planctomycetota, and Dependentiae |
[42] |
Coastal fish of Hong Kong |
Gastrointestinal contents |
Pseudomonadota, Bacillota, Mycoplasmatota |
[30] |
Various deep-sea fish of Atlantic Ocean |
Intestinal contents |
Pseudomonadota, Bacteroidota, Bacillota, Actinomycetota, Ascomycota, Basidiomycota, Euryarchaeota, Spirochaetes |
[31] |
Centroscyllium fabricii (Black dogfish shark) |
Gut contents |
Actinomycetota, Pseudomonadota, Acidobacteriota (Acidobacteria), Bacillota, Chloroflexota |
[43] |
Benthobatis moresbyi (Dark Blind Ray) |
Gut contents |
Actinomycetota, Pseudomonadota, Acidobacteriota, Chloroflexota, Bacillota |
[38] |
Table 2.
Recent culture-independent studies of marine fish gut microbiome diversity. The most abundant/predominant taxa reported at family and genus level are given.
Table 2.
Recent culture-independent studies of marine fish gut microbiome diversity. The most abundant/predominant taxa reported at family and genus level are given.
Fish |
Sample |
Abundant genera |
Abundant Families |
Ref. |
Centroscyllium fabricii(Black dogfish shark)
|
Gut contents |
Acinetobacter, Thalassobacillus, Alteromonas, Leeuwenhoekiella, Corynebacterium, Pseudonocardia, Pseudomonas
|
NR |
[43] |
Benthobatis moresbyi(Dark Blind Ray)
|
Gut contents |
Acinetobacter |
Moraxellaceae, Koribacteraceae, Nitrospiraceae
|
[38] |
White Sea (arctic) fish |
Posterior intestine |
Streptococcus, Sphingomonas, Micrococcus, Chthoniobacter, Pseudomonas, Corynebacterium, Staphylococcus, Acinetobacter, Propionibacterium, Vibrio, Photobacterium, Bacillus
|
Moraxellaceae, Vibrionaceae, Pseudomonadaceae, Propionibacteriaceae, Corynebacteriaceae, Micrococcaceae
|
[41] |
Various Mediterranean fish |
Midgut |
Pseudoalteromonas, Bradyrhizobium, Diaphorobacter, Mycoplasma, Clostridium, Thaumasiovibrio, Microbulbifer
|
Xanthobacteraceae, Comamonadaceae, Pseudoalteromonadaceae, Clostridiaceae, Vibrionaceae, Propionibacteriaceae, Staphylococcaceae, Mycoplasmataceae, Flavobacteriaceae, and Peptostreptococcaceae
|
[42] |
Various Antarctic fish |
|
Rhodococcus, Thermus, Acinetobacter, Propionibacterium, Streptococcus, and Mycoplasma
|
NR |
[33] |
Coastal fish of Hong Kong |
Gastrointestinal contents |
Clostridium, Photobacterium, Ralstonia, Acinetobacter, Thermus, Ralstonia, |
NR |
[30] |
4. ‘Extreme’ Marine Environment Impact on Microbial Products
Another interesting aspect of the marine environment is the spectrum of ‘extremes’ to which it is subjected, for example, fluctuating temperatures (from hydrothermal vents to near-freezing deep waters), sunlight exposure (or complete lack thereof), salinity and increasing hydrostatic pressure with depth (approx. one atmosphere every 10m). Such conditions have effects on the molecular structure and functionality of proteins found in these niches. Cold-adapted enzymes, for example, may require more flexible intramolecular bonding (such as electrostatic and hydrophobic interactions) as a result of the effect of low temperature on entropy. Such ‘flexible’ interactions can operate at a relatively reduced energy cost. By comparison, mesophilic enzymes require more thermostable intramolecular bonding [
71].
However, the challenges of protein production in the deep sea are different. In short, these effects include compression of the protein and consequently a reduction in protein volume. Secondly, high pressure can lead to protein unfolding as a result of the penetration of water into the protein structure [
71]. High rigidity and stability are therefore required to negate the denaturing effects of high pressure. Adaptations include the production of piezolytes, cold-shock proteins, certain transcription factors and chaperones, as well as changes within protein structures themselves [
72,
73]. However, there are reports that deep-sea proteins are highly active under, if not at least tolerant to, high pressure. Lactate dehydrogenase (LDH) from the deep-sea fish,
Coryphaenoides armatus, for example, was shown to be more tolerant to high temperature and high pressure than a homologous LDH from a shallow-water fish species. Sequence analysis of the LDH proteins found differences in over 20 amino acid residues in the deep-sea LDH that were suggested to enhance protein stability and enzyme activity [
74]. Studies of various other proteins from bathypelagic and abyssal fish species have reported that this tolerance to high pressure is primarily achieved through changes in protein primary structure, mainly amino acid substitutions which result in less flexibility sites that are consequently more resistant to compression (i.e. changes in volume) and can therefore maintain protein functionality [
75,
76]. Lemaire
et al. [
77] analyzed hydrophobic ligand binding proteins from an abyssal fish species and after aligning the protein sequences with their non-deep-sea homologs they suggested that post-translational modification, particularly glycosylation of ligand binding domains, is also important for high-pressure tolerance in deep-sea proteins. There is also strong evidence that osmolytes, in particular Trimethylamine N-oxide (TMAO), are crucial to maintaining protein integrity at great depths [
78,
79]. Martin
et al. [
73] found a
Photobacterium species that produced a novel class of osmolytes, termed “piezolytes”, the intracellular concentrations of which responded to changes in hydrostatic and osmotic pressures.
In the context of bacteriocins from deep-sea bacteria, they may possess unique adaptations in their transcription, structure, and functionality as a consequence of the deep-sea environmental conditions, such as resistance to high hydrostatic pressure and low temperatures.
5. Applications of Marine Fish -Derived Bacteriocins
One of the applications for marine-derived bacteriocins is as an alternative to antibiotics in the treatment of fish diseases within the aquaculture industry [
80,
81]. Fish and fish products are significant, globally traded commodities, with millions of tonnes consumed each year, either directly as food, as fishmeal or for fish oil. Outbreaks of disease in commercial fish significantly impact global supply, economics and human health [
82].
Many studies have also explored the application of bacteriocins from marine fish microbiomes, or the producing strains, in biopreservation of food products, such as seafood products [
48,
49] and chicken [
54]. Schelegueda
et al. [
49], for example, assessed the potential use of mundticin KS from
E. mundtii Tw56 in food biopreservation. The bacteriocins exhibited antimicrobial activity against
Listeria innocua over a range of pH (2.0-10.0), and after heat treatment (up to 121°C x 15 min). Furthermore, CFS from the producing strain retained full activity after storage at -30°C for 1 year, indicating its potential for use in frozen foods. Duffes [
48], studied the anti-
Listeria activity of the bacteriocinogenic strains,
C. pisccola V1 and
C. divergens V41, in vacuum-packed cold smoked salmon over a period of up to 4 weeks. In co-culture assays at 8°C, both strains reduced the viability of
L. monocytogenes by 5-7-fold (log CFU/g) compared to
L. monocytogenes alone. The inhibitory effects were even greater at 4°C, with
C. piscola V1, for example, reducing the counts of
L. monocytogenes to less than 10 CFU/g after 4 weeks. Crude bacteriocin extracts from the
Carnobacterium strains also demonstrated effective anti-
Listeria activity, particularly at 4°C whereby
L. monocytogenes was below detectable levels after 1 week. Significantly, the crude extracts were more effective at inhibiting
Listeria than nisin under these conditions.
Bacteriocinogenic isolates from marine fish are generating great interest in the aquaculture industry for use as probiotics. For example, Shastry
et al. [
83] demonstrated that Enterococcus lactis RS5 (
Table 3) exhibited not only bacteriocin production but also resistance to bile salts, low pH (53% viability at pH 1.5) and protease digestion - key attributes of probiotic strains. Nguyen
et al. [
84] explored the probiotic potential of the nisin Z-producing
L. lactis WFLU12, originally isolated from the gut of olive flounder [
51] (also
Table 3). They reported that fish on a diet supplemented with the antimicrobial strain, WFLU12 (approx. 109 CFU/g), exhibited increased growth and were more resistant to infection by
Streptococcus parauberis, compared to the control group.
There is also the potential for use as treatments for infection in humans; indeed, many of the bacteriocins listed in
Table 3 are capable of targeting human pathogens. Formicin, for example, exhibited effective activity against several clinically relevant species including
C. difficile [
59]. This is particularly important in cases of antimicrobial resistance whereby treatment with conventional antibiotics has become less effective and novel alternatives are sought.
6. Challenges, Metagenomics and Future Prospects
One of the (first) challenges in searching for novel bacteriocins, and other useful metabolites, from novel marine sources is the cultivation of the producing microorganisms. Without the correct conditions, potentially novel marine microorganisms, and thus their metabolites, may be lost when attempting to culture in vitro [
85]. Environmental pressure, temperature and dissolved oxygen concentration are just a few factors to be taken into account as they can all affect the diversity of isolated microorganisms and the metabolites they produce [
86,
87,
88,
89]. Often, modified or selective media is required and long incubation times of days, or even weeks, for antimicrobial production to occur. Sanchez
et al. [
70], for example, implemented the use of selective media for the isolation of bioactive marine Actinobacteria from fish. Vadivel
et al. [
68] also explored optimization of antimicrobial production in
Streptomyces maritimus SQA4 (from squid) using the “one factor at a time” method, whereby one factor or variable in the cultivation step is modified at a time. They observed that substituting carbon, nitrogen, and salt sources, as well as altering pH, had varying effects on antimicrobial activity. Furthermore, production of the bioactive metabolite was detected when the strain was cultivated on solid medium after two days but was not detected when in broth culture until after 10 days of incubation. The growth of some marine bacteria may also be dependent on the presence of specific signaling molecules found in their natural environment [
90].
Advances in genome-mining methods for bacteriocins and other antimicrobial molecules have already been extensively reviewed [
91]. Genomic DNA screening has been used to great effect by several groups in the identification of bacteriocin genes. Genome sequence analysis, using BAGEL3 bacteriocin mining software, allowed for the identification of the formicin biosynthetic operon, from which the masses of the core bacteriocin peptides could be predicted. This was a critical step in the purification and characterization of formicin, as the peptide masses found using colony mass spectrometry did not match any previously characterized bacteriocins [
59].
As mentioned above, culture-independent and metagenomic methods are being used to great effect in characterizing the taxonomic diversity of the marine fish gut microbiome. Several studies have also employed the use of metagenomic sequencing to characterize functionality, the presence of antimicrobial resistance genes and bioactive metabolite genes in marine fish microbiota [
92,
93,
94], including those from rarer deep-sea fish species (
Figure 3). The culture-independent nature of metagenomics allows for a more comprehensive understanding of these gut communities and removes the bias of sampling only culturable microbiota. Few studies, however, have used metagenomics approaches for screening marine fish microbiomes for bacteriocins specifically. Yi
et al. [
95] used metagenomic sequencing to study functional dynamics in the gut microbiota of several aquatic animals, including marine and freshwater fish. By comparative gene sequence analysis against multiple protein databases, they identified numerous bacteriocin-associated genes, including secretion systems, and immunity-related membrane transporter systems. However, they identified few core peptide biosynthetic genes, suggesting a role in antimicrobial resistance rather than production by the microbiota.
Whilst in silico genomics screening can identify bacteriocin biosynthetic gene clusters, there is still a need for peptide purification but expression in the native host can present another challenge. Another emerging technology is bacteriocin “reincarnation”. This method involves cloning of the biosynthetic operon of an “inactive” antimicrobial into a heterologous host, thereby enabling controlled expression of the antimicrobial gene. Collins
et al. [
96] utilized this method to reincarnate pediocin-like bacteriocin structural genes that had been identified during in silico analysis of the Lactobacillus pangenome, yet these strains did not exhibit in vitro antimicrobial activity. Ten pediocin-like bacteriocin genes were cloned with a (pediocin) signal sequence and heterologously expressed in
E. coli and
Lacticaseibacillus paracasei and displayed antimicrobial activity against
L. innocua. This study demonstrates the potential for such methods in the expression of such “inactive” bacteriocins, that may be identified in genomic sequences of marine-fish-derived bacteria, and allow for their heterologous expression under more familiar, terrestrial, conditions.