Open Access

The impact of co-infections on fish: a review

Veterinary Research201647:98

DOI: 10.1186/s13567-016-0383-4

Received: 1 June 2016

Accepted: 23 August 2016

Published: 4 October 2016

The Erratum to this article has been published in Veterinary Research 2017 48:26

Abstract

Co-infections are very common in nature and occur when hosts are infected by two or more different pathogens either by simultaneous or secondary infections so that two or more infectious agents are active together in the same host. Co-infections have a fundamental effect and can alter the course and the severity of different fish diseases. However, co-infection effect has still received limited scrutiny in aquatic animals like fish and available data on this subject is still scarce. The susceptibility of fish to different pathogens could be changed during mixed infections causing the appearance of sudden fish outbreaks. In this review, we focus on the synergistic and antagonistic interactions occurring during co-infections by homologous or heterologous pathogens. We present a concise summary about the present knowledge regarding co-infections in fish. More research is needed to better understand the immune response of fish during mixed infections as these could have an important impact on the development of new strategies for disease control programs and vaccination in fish.

1 Introduction

The subject of co-infections of aquatic animals by different pathogens has received little attention even though such infections are common in nature. Co-infections are defined by infection of the host by two or more genetically different pathogens where each pathogen has pathogenic effects and causes harm to the host in coincidence with other pathogens [1, 2]. Several other terms are used sometime to describe co-infections and include polymicrobial diseases, complicated infections, concurrent infections, mixed infections, multiple infections, dual infections, secondary infections and super infections [2]. Many researchers have concentrated only on single infections, classifying the other agent as opportunistic and mostly ignoring it so in this review article we will focus on distinguishing the infections caused by more than one organism. During episodes of co-infection, interactions between the infectious agents yield to varied outcomes: the load of one or both pathogens may be increased, one or both may be suppressed or one may be increased and the other suppressed [1]. The natural environments in which animals live are varied and harbor a variety of heterogeneous micro-organisms including parasitic and non-parasitic species and co-infection are a frequent occurrence. There is therefore, a considerable necessity to investigate the interactions occurring between these species during mixed infections and the deleterious effects of multi-infections on fish disease pathogenesis, prognosis, and treatment [35].

During co-infections, pathogens can compete with each other for resources or target sites inside the same host. Alternatively, sometimes one pathogen can alter the immune response of the host against the subsequent infections by other pathogens either by suppressing or priming the immune system [6, 7]. This can result in a change of the host susceptibility to infection and affect the host-pathogen dynamics, infection biology, disease severity, duration of infection and host pathology [7, 8]. Therefore, the interactions between co-occurring pathogens can be either synergistic or antagonistic [1, 9]. Synergistic effects can occur when the first pathogen induces immunosuppression in the host and hinders the immune response against subsequent infections, leading to an increase in the severity of the infections and mortality rates [7, 9]. Antagonistic effects, however, can result from competition of direct pathogens for nutrients and places and limit the population size of the infectious agents and, in some cases, alter the site of infection [10]. In other cases, the antagonistic effects happen when the first pathogen triggers and modulates the host immune response and hinders the second pathogen [11].

In humans, several publications have described the effect of one pathogen on the abundance of other pathogens co-infecting the same host and the intensity of infection estimated through measures of viral load, parasitic egg counts, antibody reaction and immune response, bacterial burdens in tissues and/or the host survival rate and recovery time [4]. Immunosuppressed people infected with human immunodeficiency virus (HIV-1) have shown an increased susceptibility to secondary infections such as tuberculosis, which promotes HIV-1 replication and increases the viral load [12]. Similarly, the susceptibility of HIV-1 infected persons to secondary infection with malaria has been shown to be increased six times [13].

Chronic helminth infections, particularly in humans, produce a strong T helper 2 (Th2) and regulatory immune response. This influences the immune response to other unrelated pathogens during mixed infections, for example reducing the inflammatory response, as well as the efficacy of disease vaccines [14, 15].

In the aquatic environment, fish are commonly exposed to heterogeneous infectious macro or micro-organisms. However, little is known about how the presence of one pathogen can affect the load of other pathogens and how the host mortality rate will be changed during co-infection in comparison with single infection [9]. Because of how frequent co-infections can be and because of the potentially important impact that co-infections can have on the development of a disease, it is important to understand how defensive immunity to a specific pathogen can occur in the host infected with multiple pathogens. Studying different co-infection models is central to the development of new effective vaccination and disease control strategies [6]. In the present article, we review recent studies on co-infections of fish by homologous and heterologous pathogens. The impact of these co-infections on the susceptibility of the fish, the course and severity of the infection and the interactions between different pathogens are also reviewed in different co-infection models. Tables 1 and 2 summarize the different interactions occurring between different homologous and heterologous pathogens in fish during co-infections.
Table 1

Summary of different interactions occurring during co-infections by different homologous pathogens in different fish species

Host species

First pathogen

Second pathogen

Type of interaction during co-infection

References

Bacterial co-infections

Atlantic salmon, Salmo salar

Aliivibrio wodanis

Moritella viscosa

Antagonistic

[24, 25]

Vietnamese catfish, Pangasianodon hypophthalmus

Edwardsiella ictaluri

Aeromonas hydrophila

Synergistic

[17]

Thailand striped catfish, Pangasianodon hypophthalmus

E. ictaluri

Flavobacterium columnare

Synergistic

[18]

Chinook salmon, Oncorhynchus tshawytscha

Renibacterium salmoninarum

A. hydrophila

Synergistic

[19]

Viral co-infections

Grouper fin cells, GF-1

Snakehead retrovirus

Grouper nervous necrosis virus

Synergistic

[27]

Channel catfish ovary and brown bullhead cells

Channel catfish reovirus

Ictalurid herpesvirus 1

Antagonistic

[29]

Rainbow trout, Oncorhynchus mykiss

Infectious hematopoietic necrosis

Viral hemorrhagic septicemia virus

Antagonistic

[30]

Rainbow trout, Oncorhynchus mykiss

Infectious pancreatic necrosis virus

Infectious hematopoietic necrosis

Antagonistic

[36]

Chinook Salmon Embryo Cells, CHSE-214

Salmonid Alphavirus

Infectious pancreatic necrosis virus

Antagonistic

[41]

Japanese Flounder, Paralichthys olivaceus

Aquabirnavirus

Viral hemorrhagic septicemia virus

Antagonistic

[42]

Atlantic salmon, Salmo salar

Infectious pancreatic necrosis virus

Infectious salmon anaemia virus

Antagonistic

[81]

Olive flounder, Paralichthys olivaceus

Marine birnavirus

Nervous necrosis virus,VHSV, Lymphocystis disease virus

Synergistic

[83]

Japanese flounder, Paralichthys olivaceus

Aquabirnavirus

Viral hemorrhagic septicemia virus

Antagonistic

[85]

Parasitic co-infections

Farmed brown trout, Salmo trutta

Tetracapsuloides bryosalmonae (Myxozoa)

Chloromyxum schurovi (Myxozoa)

Antagonistic

[48, 49]

Wild brown trout, Salmo trutta

T. bryosalmonae

Raphidascaris acus (Nematode)

Synergistic

[50]

Farmed lumpfish, Cyclopterus lumpus

Nucleospora cyclopteri (Microsporidia)

Kudoa islandica (Myxozoa)

Synergistic

[51]

Atlantic salmon, Salmo salar

Caligus rogercresseyi (Sea louse)

Neoparamoeba perurans (Protozoa)

Synergistic

[52]

Atlantic salmon, Salmo salar

Lepeophtheirus salmonis (Fish louse)

N.perurans (Protozoa)

Synergistic

[53]

Table 2

Summary of different interactions occurring during co-infections by different heterologous pathogens in different fish species

Host species

First pathogen

Second pathogen

Type of interaction during co-infection

References

Parasitic and bacterial co-infections

Rainbow trout, Oncorhynchus mykiss

Myxobolus cerebralis (Myxozoa)

Yersinia ruckeri

Synergistic

[75]

Nile tilapia, Oreochromis niloticus

Gyrodactylus niloticus (Helminth)

Streptococcus iniae

Synergistic

[59]

Goldfish, Carassius auratus

Dactylogyrus intermedius (Helminth)

F. columnare

Synergistic

[60]

Rainbow trout, Oncorhynchus mykiss

Argulus coregoni (Fish louse)

F. columnare

Synergistic

[57]

Channel catfish, Ictalurus punctatus

Ichthyophthirius multifiliis (protozoa)

E. ictaluri

Synergistic

[65]

Nile tilapia, Oreochromis niloticus

I. multifiliis

S. iniae

Synergistic

[70]

Channel catfish, Ictalurus punctatus

I. multifiliis

A. hydrophila

Synergistic

[72]

Atlantic salmon, Salmo salar

Piscirickettsia salmonis

C. rogercresseyi

Synergistic

[62]

Channel catfish, Ictalurus punctatus

E. ictaluri

I. multifiliis

Synergistic

[64]

Channel catfish, Ictalurus punctatus

S. iniae or S. agalactiae

Trichdina sp.

Synergistic

[71]

Parasitic and viral co-infections

Whiting, Merlangius merlangus euxinus

Viral hemorrhagic septicemia virus

Trichdina sp.

Synergistic

[76]

Bacterial and viral co-infections

Atlantic salmon, Salmo salar

Infectious pancreatic necrosis virus

Vibrio salmonicida

Synergistic

[81]

Grouper, Epinephelus sp.

Infectious pancreatic necrosis virus

Vibrio carchariae

Synergistic

[82]

Olive flounder, Paralichthys olivaceus

Marine birnavirus

S. iniae, Vibrio spp.

Synergistic

[83]

Olive flounder, Paralichthys olivaceus

Marine birnavirus

Vibrio harveyi or E. tarda

Synergistic

[84]

Japanese flounder, Paralichthys olivaceus

Aquabirnavirus

E. tarda or S. iniae

Synergistic

[85]

Rainbow trout, Oncorhynchus mykiss

Flavobacterium psychrophilum

Infectious pancreatic necrosis virus

Synergistic

[86]

Fungal and bacterial co-infections

Nile tilapia, Oreochromis niloticus

Fusarium oxysporum

A. hydrophila

Synergistic

[87]

Discus fish, Symphysodon

Fusarium solani, F. oxysporum or F. moniliform

A. hydrophila

Synergistic

[88]

2 Co-infections with homologous pathogens

2.1 Bacterial co-infections

The subject of bacterial co-infections in fish is one that has yet to receive the scrutiny it deserves and includes dual, triple or multiple bacterial infections. It has been reported that artificial infection of channel catfish, Ictalurus punctatus by the enterobacterium Edwardsiella ictaluri elicits a bacteraemia with motile aeromonad species, Aeromonas hydrophila [16]. This was confirmed later by Crumlish et al. [17] who repeated these results with Vietnamese catfish, Pangasianodon hypophthalmus. These authors, however, showed that the reverse is not true and that artificial infection with A. hydrophila does not result in shedding of E. ictaluri [17]. Moreover, artificial co-infection challenge of Vietnamese catfish with both bacteria using an immersion route caused higher cumulative mortalities (95%) in the co-infected group and (80%) in E. ictaluri only infected fish when compared to the very low mortalities (10%) in the fish exposed to A. hydrophila alone [17]. Based on these results, the authors suggest that while E. ictaluri acts like a primary pathogen, the role of A. hydrophila is more opportunistic [17].

Naturally, concurrent infection of E. ictaluri and Flavobacterium columnare in striped catfish, Pangasianodon hypophthalmus in Thailand has also been reported [18]. Dong et al. [18] experimentally challenged the striped catfish juveniles with single and both bacteria using the immersion (i.m) and injection (i.p) routes and the results showed high cumulative mortality in co-infected fish in both i.m. and i.p. routes when compared to single infection of E. ictaluri or F. columnare and the co-infected fish showed the clinical signs of both diseases. The results obtained by Crumlish et al. [17] and Dong et al. [18] mimicked the natural outbreaks of the disease in striped catfish farms in Vietnam and Thailand.

In addition to artificial challenges, comparable results were observed in chinook salmon, Oncorhynchus tshawytscha where A. hydrophila was found associated in a higher number than predicted by chance alone in fish infected with Renibacterium salmoninarum [19]. Because of R. salmoninarum immunosuppressive qualities [20], in this case also, the authors suggest that facultatively pathogenic motile Aeromonas spp. act as an opportunistic pathogen and interact synergistically with R. salmoninarum [19]. In wild brown trout, Salmo trutta Schmidt-Posthaus et al. [21] have reported the concomitant presence of two distinct species of chlamydial bacteria (Candidatus Piscichlamydia salmonis and Candidatus Clavochlamydia salmonicola) in gill samples causing epitheliocystis of the gill lamellae. The possible interactions between these two pathogens, however, have yet to be investigated.

Finally, the “Winter Ulcer Syndrome” is a syndrome associated with skin ulcers that occurs in marine water at low temperature [22]. Two bacterial species, Moritella viscosa and Aliivibrio wodanis are often isolated together or separately from the infected fish. However, Moritella viscosa is the main causative agent of the disease [22, 23]. Notably, despite being cytopathogenic in vitro, A. wodanis appears limited in its virulence while artificial infection with M. viscosa induces severe clinical signs of the disease and infection with A. wodanis does not [24]. Moreover, co-infection with both M. viscosa and A. wodanis does not increase the mortality rate of the fish compared to infection with M. viscosa alone [24]. In fact, infection with A. wodanis appears to reduce the virulence of M. viscosa as prior infection with A. wodanis reduces the mortalities in subsequent infection with M. viscosa [24]. The reason for this phenomenon might be linked to the ability of A. wodanis to alter the gene expression profile of M. viscosa, likely through competition for the same niche and nutrients including the sequestration of iron through siderophore mediated interspecies competition as well as the inhibition of M. viscosa growth through the secretion of inhibitory effectors like bacteriocins [24, 25].

2.2 Viral co-infections

Concomitant infections involving two or more viral pathogens have also been reported. For example Kibenge et al. [26] reported the detection of both infectious salmon anemia (ISA) and an unknown togavirus-like virus in Atlantic salmon Salmo salar. Interestingly, the togavirus was isolated and used in a challenge in the absence of ISAV and found to be avirulent, suggesting that it played no role in the disease etiology [26]. On the contrary, co-infection with snakehead retrovirus (SnRV) was reported to increase the infection titer and the cytopathic effects (CPE) of Grouper nervous necrosis virus (GNNV), a member of the Nodaviridae, in vitro in Grouper fin cell line (GF-1) [27]. Notably, this effect was not found in other cell lines and this constitutes an example of interference of the life cycle of fish nodavirus with fish retrovirus.

More interesting is the phenomenon of viral interference which is defined by the ability of one virus to interfere with the replication of another virus that has been reported between several aquatic viruses. Viral inference occurs as a result of several mechanisms including the inhibition by one virus of the multiplication of a second virus or interference with the entry of the virus through down regulation of viral receptors or direct competition between viruses for a common receptor [28, 29]. Moreover, infection with the first virus can also inhibit or alter some functions in the host cell that are required by the second invading virus. Finally, first viral infection can induce interferons or anti-viral factors that inhibit the replications of the second virus [29]. An example of viral interference occurs during co-infection with channel catfish reovirus (CRV) and Ictalurid herpesvirus 1(CCV), where CRV was found to reduce both viral titers and CPE of CCV in vitro [29]. This interference induced by CRV was considerable when the cell culture was first infected with CRV then co-infected with CCV after 16 h but not when infection was performed simultaneously [29]. Moreover, it was found that infectious hematopoietic necrosis virus (IHNV) infections were hindered in the presence of viral hemorrhagic septicemia virus (VHSV) infections in rainbow trout, Oncorhynchus mykiss and resulted in a more restricted distribution of IHNV among the fish internal organs [30]. The authors suggest that this interference and antagonistic effect might be due to competition for the same receptors on the surface of the cells, as antibody interference suggests the virus uses similar receptors, at least in the brain [31].

Hedrick et al. [32] also mentioned another example of viral interference occurring during co-infection by avirulent cutthroat trout virus (CTV) and IHNV and showed that prior infection of rainbow trout with CTV decreased the mortality associated with later infection by IHNV. Likewise LaPatra et al. [33] found that initial exposure to avirulent chum salmon reovirus then co-challenged with IHNV 8 weeks later resulted in an increased survival rate in rainbow trout.

However, the best studied example of viral interference in fish is probably the interactions between infectious pancreatic necrosis virus (IPNV) and IHNV. For example, the first report of IHNV in Spain was a case of dual infection alongside IPNV [34] and Alonso et al. [35] have shown that such dual infection reduces the yield of IHNV, while it has no effect on IPNV. Furthermore, the same authors later reported that such dual infection also reduces the presence of both viruses in fish leukocytes [36]. The mechanisms through which this interference occurs is still to be fully understood, however, it has been shown that interferon response is induced alongside the Mx protein [3739], an antiviral protein that has been shown to be induced by interferon [40]. Notably, it was also shown that interferon activity is effective against IHNV but has no effect on IPNV [39], which correlates to the pattern observed during IPNV-IHNV dual infections where IHNV is hindered by the presence of IPNV.

Another example of viral interference occurred in vitro in chinook salmon embryo cells (CHSE-214) co-infected by salmonid alphavirus (SAV), and IPNV [41]. The results showed that SAV inhibits the growth and replication of IPNV to some extent. However, the opposite does not occur and this inhibition is explained by up-regulation of IFN-mediated antiviral activity and Mx expression induced by SAV infection but not by IPNV infection [41].

In Japanese Flounder, Paralichthys olivaceus dual infection initiated by aquabirnavirus (ABV) followed by a challenge with VHSV at 3, 7, 14 and 21 days post ABV infections suggests that the primary ABV infection provided a non-specific protection against the secondary VHSV infection. This protection started at day 3 and continued to day 14 then disappeared at day 2 post ABV exposure. The cumulative mortalities were decreased up to day 14 then increased to 90% at day 21 [42]. The authors explained this antagonistic effect and the non-specific protection against VHSV as a result of ABV induced synthesis of a potent interferon like substance with antiviral activity against VHSV [42].

2.3 Parasitic co-infections

Parasites often exist in a dynamic equilibrium with their hosts and changes in the environment can alter the parasite/host equilibrium causing outbreaks of disease. Parasites can cause mechanical damage such as proliferation and fusion of gill lamellae and tissue replacement by the occupying parasite, physiological damage including cell proliferation, immunomodulation, change in the fish body condition or negative behavioral responses and/or affecting the reproductive capacity of fish [4346]. Co-infections by multiple parasites have a great influence on the host–parasite ecology [47]. In farmed brown trout, mixed infections with five myxozoan species (Tetracapsuloides bryosalmonae, Sphaerospora truttae, Chloromyxum schurovi, Chloromyxum truttae and Myxobolus species) were observed in the samples collected from farms in central Scotland. Examined kidney samples revealed mixed infection with three myxozoan species: T. bryosalmonae, S. truttae and C. schurovi [48]. Infection with T. bryosalmonae evoked some degree of immunity against C. schurovi and conversely. Peeler et al. [49] mentioned the presence of a strong negative association between T. bryosalmonae and C. schurovi which was particularly apparent in the kidney. This organ acts as the target site for both parasites, and the infection by one parasite might decrease the probability of infection by the other through competition on the same target organ, however, this interaction should be explored more experimentally.

Tetracapsuloides bryosalmonae, a malacosporean parasite, has been responsible for proliferative kidney disease in wild brown trout and was also associated in concurrent infection with the nematodes Raphidascaris acus. The process of recovery from PKD was mainly influenced by the presence or absence of the nematode larvae, where brown trout without R. acus regenerated renal morphology completely while concurrently infected brown trout showed chronic renal lesions and incomplete translocation of T. bryosalmonae from the renal interstitium into the tubular lumen [50].

A case study of co-infection by Nucleospora cyclopteri (Microsporidia) and Kudoa islandica (Myxozoa) in farmed lumpfish, Cyclopterus lumpus L. has been reported, and the mortality rates were 65% in farmed lumpfish. Kidney, spleen and liver showed severe necrotic changes with the presence of intracellular N. cyclopteri in the affected tissues and Kudoa spores were diagnosed in the skeletal muscle, without any inflammatory response [51].

In Chile, high mortalities were reported in Atlantic salmon farms following co-infection by Caligus rogercresseyi and Neoparamoeba perurans, the causative agent of amoebic gill disease (AGD). C. rogercresseyi was shown to play a vital role in the transmission of N. perurans resulting in several outbreaks [52]. Similarly, Lepeophtheirus salmonis, another salmon louse similar to C. rogercresseyi was also found to play a similar role as a vector in the transmission of N. perurans and influenced the epizootiology of the disease in Atlantic salmon and increased mortalities in Atlantic salmon farms in the USA [53].

3 Co-infections with heterologous pathogens

3.1 Parasitic and bacterial co-infections

Parasitic infections increase the risk of secondary bacterial diseases and can act as a vehicle to transmit bacterial pathogens [48]. This synergistic interaction was demonstrated by many experimental studies [5557], which showed increased mortality rates in parasitized/bacteria co-infected fish. This synergistic effect has been explained as a result of the stress caused by parasites reducing the resistance of fish to other secondary bacterial infections [58] as well as the damaging effects caused by the parasite that provided the invading of bacteria with a route of entry. In some instances, the parasites harbor the bacteria and deliver it to their host while feeding [58]. More attention should be directed toward prevention of parasitic infection in fish to reduce fish mortality due to secondary bacterial infection.

In the intensive aquaculture of Nile tilapia, Oreochromis niloticus mixed infections are more likely to occur and have been associated with fish losses [59]. However, most research has focused on a single parasite or a single bacterial agent. A concurrent experimental infection model of Nile tilapia was studied by Xu et al. [59] and fish were infested with Gyrodactylus niloticus (a monogenean helminthic ectoparasite) then challenged with a pathogenic bacteria, Streptococcus iniae. The results of this study showed higher mortality in a co-infected group during the first 2 weeks after exposure (42.2%) when compared to the S. iniae only infected group (6.7%) and no mortalities were recorded in G. niloticus only infected fish. Xu et al. [59] assumed that this ectoparasite provides a portal of entry for invasive bacteria through mechanical damage of the fish epithelium. Moreover, viable S. iniae was isolated from G. niloticus that acted as a mechanical vector for the bacterium [59].

Cusack and Cone [54] observed the presence of bacterial colonies on the surface of Gyrodactylus by scanning electron microscopy, although the precise role of these bacteria was not clear and it was not certain whether the bacteria were pathogenic to fish or not. Dactylogyrus intermedius, a monogenean, was also reported to increase the susceptibility of gold fish, Carassius auratus, to the bacterium F. columnare, the aetiological agent of columnaris disease, resulting in higher mortality and increasing the bacterial loads in fish tissues when compared to non-parasitized fish [60]. D. intermedius enhanced the bacterial invasion after induction of host immune suppression and down regulation of immune genes like TGF-β and complement 3 in gills and kidneys and thus modulate the host immune response [60].

Lhorente et al. [61] studied co-infections in Atlantic salmon experimentally by using intracellular bacteria, Piscirickettsia salmonis as a primary pathogen and the sea louse, C. Rogercresseyi agent was added 4 days after bacterial exposure at high and low doses as a secondary co-infection. In the two treatments of co-infected groups, the mortality reached up to 100% after 53 days in comparison to 46% in the single infection. This synergistic interaction was explained by the sea louse reducing the resistance of Atlantic salmon to P. salmonis. The authors also suggest that C. rogercresseyi directly damages the skin which facilitates the bacteria to invade the skin resulting in higher mortalities [62]. Similarly, in rainbow trout fish lice, Argulus coregoni an ectoparasite increased the susceptibility of fish to F. columnare and the cumulative mortality was significantly higher in the co-infected group when compared to the single infected group. Furthermore, the onset of disease and mortalities occurred earlier [57].

Ichthyophthirius multifiliis is a ciliated ectoparasitic fish protozoan, responsible for considerable losses in fresh water fish worldwide. It can increase bacterial invasion and fish mortality by damaging the epithelium of the gills and skin [63]. Shoemaker et al. [64] explored the effect of I. multifiliis parasitism on survival, hematology and bacterial burden of channel catfish exposed 1 day before to E. ictaluri, the causative agent of enteric septicemia of catfish. Higher bacterial load in different organs with higher mortalities were detected in the co-infected group (71.1%) when compared to single infected groups.

Xu et al. [65] designed another experiment using the same pathogens, I. multifiliis and E. Ictaluri, in channel catfish. The initial infection was performed using I. multifiliis then 5 days later, E. ictaluri was added as a concurrent infection. The results were similar to the previous trial with increased mortality rates and higher bacterial burdens in the internal organs.

In another condition, channel catfish were co-infected by I. multifiliis and fluorescent E. ictaluri at different doses and sampled at different times [66]. Hundred percent of tomonts were shown to carry the fluorescent bacteria. E. ictaluri survived and could replicate inside the tomonts, resulting in higher cumulative mortalities in infected fish [66]. The surface of I. multifiliis theronts contains carbohydrates like d-galactose, d-mannose, d-glucose, and N-acetylgalactosamine [67] and E. ictaluri has the ability to bind and attach to these carbohydrate molecules [68]. Therefore, the binding of E. ictaluri to I. multifiliis during co-infection occurs as a result of the interaction between the E. ictaluri lectin-like receptors and I. multifiliis surface d-galactose or d-mannose. This binding does not affect the replication of I. multifiliis, movement and its attachment to the host [66].

16S rRNA gene sequences from three bacterial classes, Alphaproteobacteria (Rickettsiales), Sphingobacteria, and Flavobacterium columnare were identified in the PCR product of two isolates of I. multifiliis [69]. DAPI (4′,6-diamidino-2-phenylindole) showed the presence of these bacteria in the cytoplasm of trophont and theronts as shown in Figure 1 [69]. Fluorescent in situ hybridization (FISH) showed only Rickettsiales and Sphingobacteriales classes as endosymbiotic bacteria in the cytoplasm of the parasite but Flavobacterium columnare was not detected suggesting that it may adhere to I. multifiliis through the cilia as shown in Figure 2 [69].
Figure 1

DAPI-stained confocal images of an I. multifiliis tomont and theront. A Macronucleus and endosymbiotic bacteria (blue) in G13 tomont. Bar = 100 µm. B Micronucleus merged with macronucleus and endosymbiotic bacteria (blue) in G13 theront. Scale bar = 10 µm.

(Image from Sun et al. [69] with permission).

Figure 2

FISH image of an I. multifiliis G5 theront labeled with bacterial probe EUB338 and counterstained with DAPI. FISH and DAPI merged confocal image showing endosymbiotic bacteria labeled with probe (red), DAPI-stained micro and macronucleus (blue) and the organelle of Lieberkühn (arrow). Scale bar = 10 µm.

(Image from Sun et al. [69] with permission).

In Nile tilapia, Xu et al. [70] established a co-infection model with I. multifiliis and S. iniae and found a strong relation between the parasite load, its developmental size and fish mortality. Increasing the time interval between exposures to both pathogens during co-infection allowed more time for I. multifiliis to produce large, well developed trophonts that caused more damage to the epithelium of fish and increased the bacterial invasion. This resulted in higher mortalities than when the fish were only exposed to young small trophonts [70].

In channel catfish the susceptibility to S. iniae or S. agalactiae was greatly increased after concurrent parasitism with Trichdina sp. with mortalities reaching 100%. This synergistic interaction between the external parasite and bacteria were explained to be a result of the damaging effect of Trichdina to the skin of fish which enhanced the invasion of S. iniae or S. agalactiae after immersion exposure [71].

Another co-infection trial between protozoa and bacteria was conducted by Xu et al. [72] to determine whether co-infection of I. multifiliis parasitized channel catfish with A. hydrophila increased fish mortality rates or not. The results confirmed that the I. multifiliis parasitized catfish showed significantly higher mortality (80%) after being exposed to A. hydrophila and had a higher load of A. hydrophila in the internal organs. I. multifiliis infection significantly increases the cortisol level in rainbow trout thus leading to immune suppression of fish and this synergistic effect [73, 74].

A mixed infection between Myxobolus cerebralis, the causative agent of whirling disease and Yersinia ruckeri, the causative agent of enteric red mouth disease was also reported by Densmore et al. [75]. Chronically, M. cerebralis infected rainbow trout after 12 months post exposure were bath challenged with Y. ruckeri. The total mortality rates in M. CerebralisY. ruckeri co-infected group was higher than the non M. cerebralis infected group and the onset of mortality occurred much faster. These results were likely due to the immunomodulatory effects of M. cerebralis via suppression of lymphocyte blastogenesis and lowered proliferative lymphocyte responses to four mitogens. This resulted in greater bactericidal activity and could affect secondary infection by Y. ruckeri [75].

3.2 Parasitic and viral co-infections

The co-occurrence of VHSV and Trichodina ectoparasite was reported in whiting (Merlangius merlangus euxinus) collected from the black sea area. In a field study, a relationship was demonstrated between virus loads and the presence of ectoparasites as the burdens of Trichodina spp. were higher in VHSV infected whiting than non VHSV infected fish. These data indicate that the load of these ectoparasites, possibly in conjunction with other factors such as spawning or water temperatures, has a significant effect on the occurrence of VHSV in whiting [76].

Nylund et al. [77] explored the role of salmon lice (C. elongates and L. salmonis) as a vector for the transmission of ISAV, including through the occurrence of skin damage and immunosuppression, resulting in epizootic outbreaks and mortalities. Valdes-Donoso et al. [78] mentioned that ISAV outbreaks that occurred in southern Chile between 2007 and 2009 resulted from co-infection of Atlantic salmon by ISAV and sea lice.

Finally, high mortalities (100%) occurred in American bullfrog larva in Florida, following co-infection by alveolate parasite infections and frog virus 3-like ranavirus [79]. Early investigations suggest that the alveolate parasite is the main pathogen in these outbreaks and that co-infection with the virus is secondary. However, this secondary infection increases the severity of the outbreak and the rate of mortality. The details of the interactions between the parasite and the virus, however, are still unclear [79].

3.3 Bacterial and viral co-infections

Several outbreaks in newly cultured sparid fish species were recorded and isolation and characterization of causative agents revealed the presence of both bacteria and virus in affected fish. The isolated bacteria were identified as Vibrio spp. and Photobacterium damselae subsp. damselae while the presence of viral nervous necrosis virus (VNNV) and VHSV were also confirmed in the same infected fish samples alongside the bacteria. These results suggest that co-infection of fish with different bacteria and viruses could occur and result in these outbreaks [80].

The influence of bacterial and viral co-infection was studied in Atlantic salmon. Fish were infected first with IPNV before being challenged with either ISAV or V. salmonicida. The cumulative mortality was observed to be higher in IPNV–V. salmonicida co-infected group than in IPNV-free fish challenged with V. salmonicida alone. The onsets of mortalities started earlier in the co-infected group (3–4 days) in comparison with fish infected with V. salmonicida only (8 days) confirming the synergistic interaction between both pathogens [79]. On the contrary, secondary exposure of acute IPNV infected Atlantic salmon with ISAV resulted in lower mortalities than fish infected with ISAV only, illustrating an antagonistic effect of IPNV against ISAV which provided some protection against the development of ISAV through the production of interferon (IFN) or IFN-like agents in response to acute IPNV infection [81].

Lee et al. [82] investigated the effect of a double challenge with IPNV and V. carchariae in grouper (Epinephelus sp.), using an initial challenge with IPNV followed 2 weeks later with a secondary infection with V. carchariae. No mortalities after IPNV exposure were recorded while secondary exposure with V. carchariae caused 100% mortalities.

Mass mortalities were reported in cultured olive flounder, Paralichthys olivaceus in Korea. Samples of these infected fish were examined for bacterial and viral diseases using PCR and sequence analysis and revealed the presence of different strains of marine aquabirnavirus (MABV). MABV has been associated with low mortalities in fish. However, it can also be found in association with other bacteria (S. iniae, Vibrio spp., V. harveyi and E. tarda) or other viruses (VNNV, VHSV, lymphocystis disease virus), in which case it causes higher mortalities [83, 84]. In Japanese flounder, Pakingking et al. [85] mentioned different interactions between ABV and other pathogens such as VHSV, E. tarda or S. iniae. The interaction was synergistic between ABV and E. tarda or S. iniae and enhanced the secondary bacterial infection and resulted in higher mortalities (84%) compared to other single infected groups. On the contrary, the interaction was antagonistic between ABV and VHS, resulting in lower mortalities compared with fish infected with VHSV alone.

In Denmark, several outbreaks due to the rainbow trout fry syndrome (RTFS), which is caused by the Gram-negative bacterium, F. psychrophilum, have occurred, resulting in high mortalities in rainbow trout fry. IPNV was also isolated from infected fry as a concomitant infection and it has been difficult to determine which pathogen was the primary cause of mortality in such outbreaks or to recognize this synergistic interaction between those two pathogens [86]. Immunohistochemistry revealed the presence of IPNV in the necrosed cells of the exocrine pancreas and F. psychrophilum in the interstitial tissues adjacent to the infected pancreatic islets (as shown in Figures 3A), however, both pathogens were detected in the same endothelial cell of the head and middle kidney (as shown in Figures 3B and C) [86].
Figure 3

Immunohistochemial tissue sections from rainbow trout fry concurrently infected with F. psychrophilum and infectious pancreatic necrosis virus (IPNV). A Immunohistochemia image for exocrine pancreas shows blue reaction for F. psychrophilum and red-brown for IPN virus. Note single bacteria (arrow), without counterstaining, X530. B Immunofluorescent section from head kidney shows red fluorescence for IPN virus in the cytoplasm of interstitial cells and the presence of bacteria either alone or as a group at the lower right with green fluorescence, X660. C Higher power magnification for immunofluorescent mid kidney shows IPN virus in the cytoplasm of the interstitial cell. Endothelial cells lining the tubulus show positive staining for both IPN virus and F. psychrophilum possibly in the same cell (arrow), X833.

(Image from Evensen and Lorenzen [86] with permission).

3.4 Fungal and bacterial co-infections

Fungal infections have been reported in farmed and marine fish species and the first case of fungal-bacterial co-infection in fish has been recently reported by Cutuli et al. [87], where Fusarium oxysporum was diagnosed in the skin of Nile tilapia and co-occurred with A. hydrophila. The histopathological results showed severe congestion of the hepatopancreas with necrotic foci in the hepatic tissue infiltrated with large numbers of neutrophil cells. The fungal agent caused tissue damage, therefore facilitating the invasion of A. hydrophila, increasing the mortality of the fish [87].

In Egypt, discus fish (Symphysodon) collected from a local fish farm after the sudden onset of mortalities with eye cloudiness, ascites, extreme body mucus and tail rot were found to harbour different kinds of fungi such as Fusarium solani, F. oxysporum and F. moniliform. The bacteria A. hydrophila was also re-isolated from 60% of the examined cases and the fish parasite, dinoflagellate Spironucleus spp. from 80% of infected cases. This suggests the causative agents of Discus mortalities to be a complex of several pathogens like fungi, bacteria, and parasites [88].

4 Conclusions

The main aim of this review was to summarize the scant literature regarding the interactions between different pathogens during co-infections of the fish host with more than one infectious agent either by simultaneous or secondary infections. The interactions can be either synergistic or antagonistic and might result in the enhancement or inhibition of one or both pathogens, increasing or decreasing the severity of the disease. Such interactions can have an important impact on the development and severity of the diseases and should be considered during the planning of therapy and vaccination. It is evident that more research is needed in the future to improve our understanding on the interactions between fish pathogens and how they interact with the immune response of the fish host. This will deepen our understanding of the disease process and pathogenesis and will prove useful for disease management.

Notes

Abbreviations

A. hydrophila

Aeromonas hydrophila

E. ictaluri

Edwardsiella ictaluri

F. columnare

Flavobacterium columnare

I. multifiliis

Ichthyophthirius multifiliis

IHNV: 

infectious hematopoietic necrosis virus

VHSV: 

viral hemorrhagic septicemia virus

IPNV: 

infectious pancreatic necrosis virus

ISAV: 

infectious salmon anaemia virus

VNNV: 

viral nervous necrosis virus

C. rogercresseyi

Caligus rogercresseyi

DAPI: 

4′,6-diamidino-2-phenylindole

FISH: 

fluorescence in situ hybridization

CPE: 

Cytopathic effects

Declarations

Competing interests

The authors declare that they have no competing interests.

Authors’ contributions

GK, MHK and MEL designed the concept of the review article. MHK, SML and GK wrote the manuscript. MEM and MA helped with the revision of the manuscript. All authors read and approved the final manuscript.

Acknowledgements

This study was funded by the Austrian Science Fund (FWF) project no. P 22770-B17. We are thankful to the Ministry of Higher Education, Egypt for providing doctoral fellowship to MHK.

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Authors’ Affiliations

(1)
Clinical Division of Fish Medicine, Department for Farm Animals and Veterinary Public Health, University of Veterinary Medicine
(2)
Department of Pathology, Faculty of Veterinary Medicine, Assiut University

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