Section: Aquatic Bacteria

Mycobacterium marinum Infections in Aquatic Animals and Humans: Pathogenesis, Diagnostics, and Zoonotic Implications

Abstract

Mycobacterium marinum represents a significant pathogen in aquatic ecosystems with demonstrated zoonotic potential. This review synthesizes current understanding of bacterial virulence mechanisms, host-pathogen interactions in teleost and amphibian models, diagnostic methodologies ranging from conventional culture to high-throughput sequencing, and therapeutic challenges posed by intrinsic and acquired antimicrobial resistance. Particular emphasis is placed on the molecular basis of phagosomal escape, copper homeostasis as a virulence determinant, and genomic epidemiology linking animal and environmental reservoirs.

1. Taxonomy and Environmental Reservoir

Mycobacterium marinum belongs to the Mycobacterium tuberculosis complex (MTBC) phylogenetic lineage yet occupies a distinct ecological niche as a photochromogenic, non-tuberculous mycobacterium (NTM). The organism thrives in fresh, brackish, and marine waters with optimal growth temperatures between 28°C and 32°C. Environmental persistence is facilitated by biofilm formation on abiotic surfaces and intracellular survival within free-living amoebae, particularly Acanthamoeba species, which serve as environmental reservoirs and potential vectors [12, 13]. The bacterium exhibits a characteristic lipid-rich cell wall containing mycolic acids, cord factor (trehalose dimycolate), and phenolic glycolipids that confer resistance to desiccation, chemical disinfectants, and host innate immune effectors.

1.1 Physicochemical Properties

Property Characteristic
Gram stain Acid-fast positive (Ziehl-Neelsen)
Growth temperature range 25–35°C (no growth at 37°C)
Colony morphology Smooth, photochromogenic (yellow pigment upon light exposure)
Biochemical profile Niacin negative, nitrate reduction negative, arylsulfatase positive (3-day)
Cell wall lipids Mycolic acids C70–C90, phthiocerol dimycocerosates (PDIM), phenolic glycolipids

2. Pathogenesis in Aquatic Vertebrates

2.1 Teleost Infection Dynamics

In fish, M. marinum causes a chronic granulomatous disease termed mycobacteriosis, characterized by systemic dissemination with predilection for spleen, kidney, liver, and skin. The pathogen enters through epithelial breaches in skin or gills, or via ingestion of contaminated feed or infected prey. Following entry, bacteria are phagocytosed by macrophages and neutrophils but resist lysosomal degradation through active inhibition of phagosome maturation.

2.1.1 Phagosomal Escape Mechanism

Recent molecular studies have identified MMAR_0267 as a critical regulator of copper utilization that facilitates bacterial escape from the phagolysosome [3]. This protein modulates the expression of copper-exporting ATPases (CopA, CtpV) and the copper-sensing two-component system (CsoR/RicR). During phagocytosis, host macrophages deploy copper as an antimicrobial effector within the phagolysosome. M. marinum counters this by upregulating copper efflux systems, maintaining cytoplasmic copper homeostasis, and preventing copper-mediated oxidative damage to Fe-S cluster enzymes. The MMAR_0267 regulon coordinates this response, enabling phagosomal rupture and cytosolic access where the bacterium replicates unchecked.

2.1.2 Granuloma Formation and Immune Evasion

Granuloma formation represents a host containment strategy that paradoxically provides a replicative niche. The granuloma structure comprises a central core of infected macrophages (epithelioid cells), surrounded by lymphocytes and fibroblasts. M. marinum manipulates host cytokine networks to maintain granuloma integrity while preventing sterilizing immunity. Key virulence factors include:

  • ESX-1 secretion system: Mediates phagosomal membrane permeabilization
  • PDIM and phenolic glycolipids: Mask pathogen-associated molecular patterns (PAMPs) from TLR2 recognition
  • Eis protein: Acetylates host DUSP16/MKP7, suppressing JNK-mediated apoptosis
  • PPE/PE family proteins: Antigenic variation and immune modulation

2.2 Amphibian Models of Mycobacterial Pathogenesis

Amphibians, particularly Xenopus species, serve as valuable models for dissecting immune cell heterogeneity in mycobacterial infections [6]. The amphibian macrophage system exhibits functional plasticity with distinct subsets analogous to mammalian M1 (classically activated) and M2 (alternatively activated) phenotypes. M. marinum exploits this heterogeneity by preferentially infecting M2-like macrophages that exhibit reduced microbicidal capacity. Colony-stimulating factor-1 (CSF-1) and interleukin-34 (IL-34) drive macrophage differentiation along divergent pathways, yielding populations with differential susceptibility to M. marinum infection [7]. CSF-1-derived macrophages support higher bacterial loads compared to IL-34-derived counterparts, correlating with differential expression of iron transporters (NRAMP1/SLC11A1) and reactive nitrogen species production.

3. Zoonotic Transmission and Human Infection

3.1 Transmission Pathways

Zoonotic transmission occurs primarily through direct contact with infected fish, contaminated water, or fomites in aquarium and aquaculture settings. The portal of entry in humans is typically minor skin trauma (abrasions, puncture wounds) sustained during fish handling, tank cleaning, or seafood processing. The resulting infection, historically termed "fish tank granuloma" or "swimming pool granuloma," manifests as localized cutaneous nodules, sporotrichoid lymphangitis, or, rarely, deep tissue involvement including tenosynovitis, osteomyelitis, and pulmonary disease [2, 10, 15].

3.2 Host-Range Determinants

The inability of M. marinum to grow at 37°C restricts systemic dissemination in mammalian hosts, confining infection to cooler peripheral tissues (extremities, skin). This thermal restriction represents a key host-range determinant. However, immunocompromised hosts may experience disseminated disease due to impaired cell-mediated immunity [2]. Comparative genomic analysis reveals conservation of core virulence loci between M. marinum and M. tuberculosis, including ESX secretion systems, PDIM biosynthesis, and cholesterol catabolism pathways, underscoring shared pathogenic strategies adapted to different thermal niches.

3.3 Environmental and Occupational Risk Factors

Epidemiological investigations identify aquarium hobbyists, pet shop workers, aquaculture personnel, and marine biologists as high-risk groups. A core single nucleotide polymorphism (cgSNP) analysis of isolates from two public aquaria demonstrated clonal transmission between animal and environmental sources, confirming water systems as reservoirs for recurrent infection [5]. Disinfection efficacy studies indicate that calcium hypochlorite (1000 ppm free chlorine, 30 min contact) and ultraviolet irradiation (40 mJ/cm²) achieve >4-log reduction of M. marinum, though biofilm-associated cells exhibit enhanced tolerance [9].

4. Diagnostic Methodologies

4.1 Conventional Culture and Phenotypic Identification

Culture remains the reference standard for definitive diagnosis. Specimens (tissue biopsies, aspirates, environmental swabs) are inoculated onto Lowenstein-Jensen, Middlebrook 7H10/7H11, or liquid media (MGIT) and incubated at 28–30°C for 7–21 days. Photochromogenicity (pigment production upon light exposure) distinguishes M. marinum from other NTM. Biochemical profiling includes arylsulfatase (3-day), niacin accumulation, nitrate reduction, and temperature growth range. Limitations include prolonged turnaround time, biosafety level 2 requirements, and potential overgrowth by faster-growing contaminants.

4.2 Molecular Diagnostics

4.2.1 Targeted PCR Assays

Conventional and real-time PCR targeting species-specific genomic regions (e.g., hsp65, rpoB, 16S-23S ITS, mmaA3) provide rapid identification from culture isolates or clinical specimens. The hsp65 gene (encoding 65-kDa heat shock protein) contains species-specific polymorphisms amenable to PCR-restriction fragment length polymorphism (PRA) analysis. Multiplex PCR panels incorporating internal amplification controls mitigate false-negative results from PCR inhibitors present in tissue samples.

4.2.2 High-Throughput Sequencing Approaches

Targeted nanopore sequencing has emerged as a rapid diagnostic modality, enabling species identification and antimicrobial resistance profiling within hours [4]. This approach utilizes adaptive sampling or PCR enrichment of mycobacterial genomic regions followed by real-time basecalling and alignment to reference databases. Advantages include portability, long-read capability for structural variant detection, and direct detection from clinical specimens without culture. Metagenomic sequencing of environmental water samples facilitates surveillance of M. marinum in aquaculture systems and public aquaria.

4.2.3 Genomic Epidemiology

Core genome single nucleotide polymorphism (cgSNP) analysis provides high-resolution strain typing for outbreak investigation and source attribution [5]. This method involves mapping quality-filtered reads to a reference genome (e.g., M. marinum M strain), calling core SNPs present in >95% of isolates, and constructing maximum-likelihood phylogenies. cgSNP analysis has resolved transmission chains in aquarium settings, distinguishing recurrent endogenous reactivation from exogenous reinfection.

4.3 Diagnostic Algorithm

flowchart TD
    A[Clinical Suspicion: Granulomatous Lesion, Aquatic Exposure], > B{Specimen Collection}
    B, > C[Tissue Biopsy / Aspirate / Swab]
    C, > D[Ziehl-Neelsen Stain: Acid-Fast Bacilli?]
    D, >|Positive| E[Culture at 28-30°C: 7-21 days]
    D, >|Negative| F[Molecular Testing: PCR / Sequencing]
    E, > G[Growth Observed?]
    G, >|Yes| H[Photochromogenicity Test]
    H, >|Positive| I[Biochemical ID / MALDI-TOF / PCR]
    H, >|Negative| J[Consider Other NTM]
    G, >|No| F
    I, > K[Species Confirmation: M. marinum]
    K, > L[Antimicrobial Susceptibility Testing]
    L, > M[Genomic Epidemiology: cgSNP / WGS]
    M, > N[Source Attribution / Outbreak Investigation]
    F, > O[Targeted Nanopore / Metagenomic Sequencing]
    O, > K
    style A fill:#f9f,stroke:#333
    style K fill:#bbf,stroke:#333
    style N fill:#bfb,stroke:#333

5. Antimicrobial Susceptibility and Treatment Challenges

5.1 Intrinsic Resistance Mechanisms

M. marinum exhibits intrinsic resistance to multiple antimicrobial classes through:

  • Impermeable cell wall: Mycolic acid layer limits drug penetration
  • Efflux pumps: MmpL family transporters export macrolides, fluoroquinolones, tetracyclines
  • Enzymatic inactivation: Beta-lactamases (BlaC) hydrolyze penicillins and cephalosporins
  • Target modification: Mutations in rpoB (rifampin), gyrA/gyrB (fluoroquinolones), rrs (aminoglycosides)

5.2 Acquired Resistance and Mutational Landscape

Acquired resistance emerges during monotherapy or inadequate combination regimens. Whole-genome sequencing of clinical isolates reveals convergent evolution in resistance-determining regions:

Antimicrobial Class Primary Resistance Loci Mechanism
Macrolides (clarithromycin) rrl (23S rRNA), erm(41) Ribosomal methylation, target modification
Fluoroquinolones gyrA (QRDR), gyrB DNA gyrase target alteration
Rifamycins rpoB (RRDR) RNA polymerase target alteration
Aminoglycosides rrs (16S rRNA), eis promoter Ribosomal modification, enzymatic acetylation
Ethambutol embB Arabinosyltransferase target alteration
Isoniazid katG, inhA promoter Catalase-peroxidase inactivation, target overexpression

5.3 Therapeutic Regimens

No standardized veterinary treatment protocols exist for M. marinum in fish. In aquaculture, treatment is generally impractical due to cost, regulatory restrictions, and resistance risk; depopulation and disinfection are preferred. For valuable ornamental or research specimens, combination therapy guided by susceptibility testing may be attempted:

  • First-line: Clarithromycin + ethambutol + rifampin (minimum 3 drugs)
  • Alternative: Minocycline + moxifloxacin + linezolid
  • Duration: Minimum 3–6 months post-clinical resolution

Adjunctive therapies including photodynamic therapy have been explored for refractory cutaneous granulomas in human cases [1], though veterinary applications remain investigational.

6. Biosecurity and Control Measures

6.1 Aquaculture and Aquarium Management

Effective control requires a multi-barrier approach:

  1. Source verification: Procurement from certified specific-pathogen-free (SPF) suppliers
  2. Quarantine protocols: Minimum 60-day isolation with serial health monitoring
  3. Water treatment: UV irradiation (40 mJ/cm²), ozone (0.5–1.0 mg/L), or chlorine dioxide (0.2–0.5 mg/L)
  4. Biosecurity zones: Separate equipment, dedicated personnel flow, footbaths
  5. Surveillance: Environmental PCR screening of biofilter media, sediment, and water

6.2 Disinfection Efficacy

Calcium hypochlorite (1000 ppm free chlorine, 30 min) and UV irradiation (40 mJ/cm²) achieve >4-log reduction of planktonic M. marinum [9]. However, biofilm-embedded cells within recirculating aquaculture systems (RAS) demonstrate 10- to 100-fold increased tolerance. Effective biofilm control requires mechanical disruption combined with oxidative disinfectants at elevated concentrations and contact times.

6.3 One Health Considerations

The zoonotic potential of M. marinum necessitates coordinated veterinary and public health responses. Occupational health programs for aquarium and aquaculture workers should include:

  • Personal protective equipment (waterproof gloves, sleeve protectors)
  • Immediate wound care and reporting of skin injuries
  • Baseline and periodic tuberculin skin testing or interferon-gamma release assays (IGRA) to monitor for sensitization
  • Education on clinical manifestations and early medical evaluation

7. Computational and Genomic Approaches

7.1 Comparative Genomics

Comparative genomic analyses reveal that M. marinum possesses a larger genome (~6.6 Mb) than M. tuberculosis (~4.4 Mb), reflecting its environmental lifestyle. Expanded gene families include:

  • PE/PPE proteins: >100 copies, antigenic variation
  • ESX secretion systems: 5 systems (ESX-1 through ESX-5)
  • Cytochrome P450 enzymes: >20 copies, lipid metabolism
  • Two-component systems: >50 sensor kinase/response regulator pairs

7.2 Machine Learning Applications

Machine learning algorithms trained on genomic features (k-mer frequencies, gene presence/absence, SNP profiles) can predict host range, virulence potential, and antimicrobial resistance phenotypes. Integration of environmental metadata (temperature, salinity, microbiome composition) with pathogen genomic data enables predictive modeling of outbreak risk in aquaculture systems.

7.3 Structural Biology and Drug Discovery

Cryo-EM structures of M. marinum ESX-1 secretion apparatus and MMAR_0267 copper regulator provide templates for structure-based drug design. Virtual screening of compound libraries against these targets, coupled with molecular dynamics simulations, accelerates identification of novel antimycobacterial agents with activity against both M. marinum and M. tuberculosis.

8. Future Directions

8.1 Vaccine Development

Live-attenuated mutants (e.g., Δesx-1, ΔphoP, Δmmpl4b) confer protection in zebrafish and frog models. Subunit vaccines targeting ESAT-6/CFP-10, Ag85 complex, and novel antigens identified by immunoproteomics are under evaluation. Mucosal delivery via immersion or oral vaccination would be practical for aquaculture applications.

8.2 Phage Therapy

Mycobacteriophages isolated from environmental samples demonstrate lytic activity against M. marinum. Phage cocktails engineered for broad host range and resistance to CRISPR-Cas systems represent a potential alternative to antibiotics in aquaculture settings.

8.3 Environmental Surveillance

Integration of environmental DNA (eDNA) metabarcoding with quantitative PCR enables non-invasive monitoring of M. marinum in natural and managed aquatic systems. Coupled with hydrological modeling, this approach supports early warning systems for epizootic events.

9. Conclusion

Mycobacterium marinum exemplifies the convergence of environmental microbiology, veterinary pathology, and zoonotic disease. Its capacity for intracellular survival, granuloma manipulation, and environmental persistence underscores the complexity of mycobacterial pathogenesis. Advances in molecular diagnostics, particularly targeted nanopore sequencing and cgSNP analysis, have transformed outbreak investigation and source attribution. However, therapeutic options remain limited by intrinsic and acquired resistance, emphasizing the primacy of biosecurity and prevention. Continued integration of genomic epidemiology, structural biology, and computational modeling will be essential for mitigating the impact of this pathogen across aquatic animal populations and at the human-animal interface.

References

[1] Li M, Song L, Zhang Y et al. Adjunctive use of photodynamic therapy in refractory cutaneous granuloma caused by Mycobacterium marinum infection: A case report. Photodiagnosis Photodyn Ther. 2025. https://pubmed.ncbi.nlm.nih.gov/40774508/

[2] Khan A, Jain D. Fish Tank-Associated Mycobacterium Marinum Infection in an Immunocompromised Host. BMJ Case Rep. 2025. https://pubmed.ncbi.nlm.nih.gov/39914862/

[3] Xu J, Ma S, Huang Y et al. Mycobacterium marinum MMAR_0267-regulated copper utilization facilitates bacterial escape from phagolysosome. Commun Biol. 2024. https://pubmed.ncbi.nlm.nih.gov/39300168/

[4] Huang YY, Li QS, Li ZD et al. Rapid diagnosis of Mycobacterium marinum infection using targeted nanopore sequencing: a case report. Front Cell Infect Microbiol. 2023. https://pubmed.ncbi.nlm.nih.gov/37965260/

[5] Komine T, Srivorakul S, Yoshida M et al. Core single nucleotide polymorphism analysis reveals transmission of Mycobacterium marinum between animal and environmental sources in two aquaria. J Fish Dis. 2023. https://pubmed.ncbi.nlm.nih.gov/36727551/

[6] Paiola M, Dimitrakopoulou D, Pavelka MS Jr et al. Amphibians as a model to study the role of immune cell heterogeneity in host and mycobacterial interactions. Dev Comp Immunol. 2023. https://pubmed.ncbi.nlm.nih.gov/36403788/

[7] Popovic M, Yaparla A, Paquin-Proulx D et al. Colony-stimulating factor-1- and interleukin-34-derived macrophages differ in their susceptibility to Mycobacterium marinum. J Leukoc Biol. 2019. https://pubmed.ncbi.nlm.nih.gov/31535730/

[8] Dziedzinská R, Slaný M, Slaná I et al. [Mycobacterium marinum as a cause of human and animal infections]. Klin Mikrobiol Infekc Lek. 2018. https://pubmed.ncbi.nlm.nih.gov/30753738/

[9] Roshani Edirisinghe EA, Anuruddhika Dissanayake DR, Abayasekera CL et al. Efficacy of calcium hypochlorite and ultraviolet irradiation against Mycobacterium fortuitum and Mycobacterium marinum. Int J Mycobacteriol. 2017. https://pubmed.ncbi.nlm.nih.gov/28776533/

[10] Velu PP, Fernandes SE, Laurenson IF et al. Pulmonary Mycobacterium marinum infection: 'fish tank granuloma' of the lung. Scott Med J. 2016. https://pubmed.ncbi.nlm.nih.gov/27872397/

[11] Haenen OL, Evans JJ, Berthe F. Bacterial infections from aquatic species: potential for and prevention of contact zoonoses. Rev Sci Tech. 2013. https://pubmed.ncbi.nlm.nih.gov/24547653/

[12] Wilson MD, Boakye DA, Mosi L et al. In the case of transmission of Mycobacterium ulcerans in buruli ulcer disease Acanthamoeba species stand accused. Ghana Med J. 2011. https://pubmed.ncbi.nlm.nih.gov/21572823/

[13] Wallace JR, Gordon MC, Hartsell L et al. Interaction of Mycobacterium ulcerans with mosquito species: implications for transmission and trophic relationships. Appl Environ Microbiol. 2010. https://pubmed.ncbi.nlm.nih.gov/20675453/

[14] Kang GC, Gan AW, Yam A et al. Mycobacterium abscessus Hand Infections in Immunocompetent Fish Handlers: Case Report. J Hand Surg Am. 2010. https://pubmed.ncbi.nlm.nih.gov/20610060/

[15] AlKhodair R, Al-Khenaizan S. Fish tank granuloma: misdiagnosed as cutaneous leishmaniasis. Int J Dermatol. 2010. https://pubmed.ncbi.nlm.nih.gov/20465612/