AiM  Vol.11 No.9 , September 2021
Prevalence and Antimicrobial Resistance of Gram-Negative Bacteria Isolates in Shellfish Samples from Two River Estuaries in South-South Nigeria
Abstract: Antibiotic resistant bacteria pathogens remain the leading cause of shellfish borne diseases and a major health threat to humans worldwide. The objectives of this study were to isolate, identify, and determine the antibiotic resistance patterns of Gram-negative bacteria from shellfish. We analyzed a total of 540 shellfish (117 clams, 88 oysters, and 136 periwinkles) samples collected from different vendors at Iko and Douglas Creeks in Akwa Ibom State, South-South Nigeria. Conventional cultural techniques, morphological, biochemical characteristics, and PCR amplification were used to identify the bacterial isolates. Antibiotic susceptibility tests (Kirby-Bauer disk diffusion method) and ESBL phenotype (disk) of the isolates were performed. One hundred and thirty-five (135) Gram-negative bacteria comprising 5 genera and 14 species were detected at a prevalence of: Alcaligenes faecalis TRB-7 38 (28.2%), Pseudomonas oryzihabitans strain KCB005 16 (11.9%), Paenalcaligenes retgerii strain B5 12 (8.9%) Pseudomonas aeruginosa JB2 10 (7.4%), Providencia stuartii DMC-28b 9 (6.7%), Alcaligenes species TLT151 8 (5.9%), Pseudomonas aeruginosa CIFRI DTSB1 7 (5.2%), Paenalcaligenes species UN24 7 (5.2%), Alcaligenes faecalis BT10 7 (5.2%), Vibrio species strain PrVy108 6 (4.4%), Pseudomonas xiamenensis C10-2 5 (3.7%), Providencia vemicola Bu15_38 4 (2.9%), Pseudomonas anguillisceptica 4029 3 (2.2%), and Pseudomonas aeruginosa N15-01092 3 (2.2%). All tested isolates showed various degrees of resistance to the thirteen antimicrobials evaluated. High levels of resistance (100%) to cefepime and imipenem were expressed by all isolates except the Providencia species. For the EBSL indicators, all isolates apart from Alcaligenes species were resistant (100%) to ceftriaxone. All Vibrio species were susceptible to norfloxacin, nalidixic acid, and ceftazidime. The identification of antibiotic resistant Gram-negative bacteria (GNARB) from shellfish in this study highlights the risk of disseminated multi-drug resistance—a serious public health concern.

1. Introduction

Pathogens present in coastal waters, whether linked to anthropogenic activities or naturally occurring, are difficult to detect and therefore, can pose health threats to shellfish and shellfish consumers [1]. Numerous human pathogenic bacteria are documented to be present in coastal waters and shellfish [2] [3] [4]. They come from upstream catchment areas and are classified either as allochthonous or autochthonous. The allochthonous bacteria are those of faecal origin, such as members of Enterobacteriaceae (e.g., pathogenic E. coli, Salmonella), pathogenic enterococci, Campylobacter, and others from nearby aquatic and soil environments (Aeromonas,Arcobacter,andPseudomonas), conversely, an example of autochthonous bacteria is the Vibrio spp. [4]. Human pathogen contaminating shellfish and water bodies are reportedly the sources of shellfish-borne or water-borne disease outbreaks [5] [6]. Seafood like crustaceans, shellfish, mollusks, and related products was implicated in 7.3% of foodborne disease outbreaks in 2013, all over the European Union [7]. This is strong evidence that seafoods are foodborne diseases and illnesses vehicles.

Shellfish are forms of aquatic or sea-life creatures (oysters, clams, scallops, mussel, periwinkle, lobsters, crabs, shrimps, crayfish, sea cucumber, sea urchins, sea stars, and sand dollars) that can be further processed for use as food by humans [8]. Shellfish cultivation, harvest, and sales serve as a source of income, occupation, and food source for the coastal settlers. Several reports indicate that areas where shellfish are harvested and cleaned are affected by possible faecal pollutions from humans, livestock, pets, and wildlife living within the catchment areas [1] [4]. Shellfish filter feed, allowing them to accumulate and concentrate microbial pathogens from surrounding waters. Therefore, people that consume raw or minimally processed shellfish products are exposed to harmful doses of bacterial and viral pathogens [4].

Antimicrobial resistance (AMR) remains a foremost global health crisis in both human and veterinary medicines, and is implicated in the ever-rising number of previously treatable bacterial infections [9] [10] [11]. Bacteria become resistant to antibiotics by either genetic mutations or by acquiring antibiotic resistant genes (ARGs) [12]. Antibiotic resistant bacteria (ARB) infections are projected to cause about 10 million deaths worldwide by the year 2050 [13]. The human-health threat posed by AMR is prevalent in low- to middle-income countries [14], especially in rural areas lacking adequate healthcare facilities. In these areas, there is a high propensity for community-acquired resistant infections and ease of transmissible disease burdens among the general populace. With poor access to health care services, there are increased morbidity rates, prolonged hospitalization, and increased healthcare costs [14] [15] [16]. These together should deter members of the public from consuming contaminated or unprocessed foods, as health burden brings economic burden on family units and the society in general.

Since the aquatic environments have been identified as an ideal setting for the acquisition and dissemination of antibiotic resistance, food harvested from contaminated areas is an additional health risk for humans, exposing them to antibiotic resistant bacteria (ARB) and antibiotic resistance genes (ARGs) [12]. The cardinal drivers of antimicrobial resistance lie in humans, animals, plants, food, and environments [17]. Selective pressures exerted by the overuse or misuse of antibiotics in primary food production, genetically modified (GM) crops with antibiotic resistance marker genes, microorganisms added intentionally to the food chain (probiotic or technological) with potentially transferable antimicrobial resistance genes, food processing technologies used at sub-lethal doses (e.g., alternative non-thermal treatments), and the use of biocides [18] [19] [20] are among the main driving forces behind the selection and spread of antimicrobial resistance throughout the food chains.

The evaluation of antibiotic resistant bacteria pathogens in non-clinical environments is useful in assessing the risk levels and the scale of dissemination of resistant pathogens and genes. Accordingly, this study was aimed at isolating Gram-negative bacteria from shellfish and evaluating their antimicrobial susceptibility profile.

2. Materials and Methods

2.1. Sample Collection

A total of 540 shellfish (117 clams, 88 oysters, and 136 periwinkles) samples were sourced from different vendors at Iko and Douglas Creeks in Akwa-Ibom State, Nigeria (Figure 1) between the years 2015-2017 in the months of March to July (raining season) and August to February (dry season). Collected samples placed in sterile iced-packed coolers (4˚C) and transported to the Postgraduate Research Laboratory of the University of Uyo, Uyo, Nigeria for bacteriological examination and analysis within 5 hours collection time. Samples were assayed thereafter.

Figure 1. Map showing the sample collection areas along Douglas and Iko Creeks, Akwa Ibom State.

2.2. Sample Preparation

The shellfish were individually washed by scrubbing with sponge in sterile water, and then rinsed in 70% ethanol to remove external dirt and debris. Thereafter, the shellfish were aseptically shucked using a sterile shucking knife to remove the soft flesh. The flesh samples were individually dissected using sterile knives and scissors to separate body parts (flesh, intestines, and gills). Exactly 5 g of each shellfish part was homogenized (using Stomacher® 400 Circulator, Seward Ltd, UK) in 45 mL sterile Phosphate Buffered Saline (pH 7.3 - 7.4) for 5 minutes. Each homogenized sample was serially diluted ten-folds, spread plated on Tryptone Soya Agar (Thermo ScientificTM OxoidTM, United Kingdom) for total heterotrophic bacterial counts (THBC) and pour plated on to Membrane FC Agar (Thermo ScientificTM OxoidTM) for faecal coliform enumeration. The plates were incubated at 37˚C and at 44.5˚C for 24 hours for THBC and faecal coliforms enumeration, respectively.

2.3. Enrichment, Isolation and Bacterial Identification

Duplicates of 25 g of each shellfish parts (flesh, intestines, and gills) were homogenized in 225 mL of Alkaline peptone water (APW) and lactose broth (OxoidTM Thermo ScientificTM, UK) for pre-enrichment at 37˚C for 6 - 8 hours and 18 - 24 hours respectively. Afterwards, 100 µL and 1 mL of the pre-enriched APW, were transferred into 10 mL each of Rappaport-Vasilliadis Soya peptone broth (RVS), OxoidTM Thermo ScientificTM, UK, (UK) and Muller-Kauffman tetrathionate broth (MKTB) for selective enrichment for 24 hours at 41.5˚C and 37˚C, respectively. In addition, loopfuls of the Alkaline peptone water (APW) pre-enrichment were streaked on to Thiosulphate Citrate bile Salt Agar (TCBS, OxoidTM Thermo ScientificTM, UK). Similarly, several loopfuls of the lactose broth pre-enrichment were streaked on to Eosin Methylene Blue Agar (Modified) Levine and Violet Red Bile Glucose Agar (VRBG, OxoidTM Thermo ScientificTM, UK; ISO 21528 and ISO 11133:2014). Thereafter, loopfuls of the selective enrichment cultures were streaked on to selective agar plates: Xylose Deoxycholate Agar (XLD) and Brilliance Salmonella (OxoidTM Thermo ScientificTM, UK). Following the incubation of the plates at 37˚C for 24 hours, typical bacterial isolates were purified by streak plating on pre-solidified nutrient agar plates and incubated at 37˚C for 24 hours. Bacterial isolates were identified following previously described methods [21] [22]. Briefly, isolates were presumptively identified by cultural morphology and standard biochemical tests including: Gram reaction, motility tests, oxidase, urease, indole, Voges-Proskauer, hydrogen sulphide production, catalase, citrate utilization and sugar fermentation tests. Biochemical identification of bacterial isolates to the species level was performed using the API-20E and API-NE, (bioMerieux, Marcyl’Etoile, France). Confirmatory bacterial isolates identification was done by sequencing their 16S ribosomal RNA and matching a 100% similarity with that from the NCBI gene bank.

2.4. Antimicrobial Susceptibility Testing

The antimicrobial susceptibility of the 135 Gram negative bacterial isolates to 4 classes of antimicrobial agents namely: quinolones, aminoglycoside, sulfonamide, and cephalosporins (3rd generation) were evaluated using the Kirby-Bauer disc method in accordance with the guidelines by the Clinical and Laboratory Standards Institute [23]. Briefly, suspensions of purified bacterial isolates were made in 5.0 mL of Mueller Hinton broth (MHB, OxoidTM Thermo ScientificTM, UK). The optical density of the suspensions was adjusted to 0.5 McFarland standard (equivalent to 108 cfu/mL). Thereafter, Mueller Hinton agar plates (MHA, OxoidTM Thermo ScientificTM, UK) were aseptically inoculated with the respective suspensions using sterile cotton swabs and allowed to dry at room temperature for 5 minutes. Eight (8) selected antimicrobial discs (OxoidTM Thermo ScientificTM, UK): Trimethoprim/Sulfamethoxazole (25 µg), Cefepime (30 µg), Nalidixic acid (30 µg), Chloramphenicol (30 µg), Imipenem (10 µg), Amikacin (30 µg), Norfloxacin (10 µg), Ciprofloxacin (5 µg) were thereafter applied to the MHA plates using a disc dispenser (OxoidTM Thermo ScientificTM, UK) and the plates incubated at 35˚C for 18 - 24 hours. Escherichia coli strain ATCC 25922 and Pseudomonas aeruginosa strain ATCC 27853 were used as controls.

Detection of ESBL production was performed using the 5 antimicrobial disks (Thermo ScientificTM OxoidTM, UK) which included: Cefotaxime (CTX 30 μg), Ceftriaxone (CRO 30 μg), Ceftazidime (CAZ 30 μg), Aztreonam (ATM 30 μg), and Cefpodoxime (PX 10 μg) according to CLSI guidelines. The diameter of the zones of inhibition on MHA plates for each isolate was measured with the aid of a caliper and susceptibility results were interpreted using criteria set by the Clinical and Laboratory Standards Institute [23]. Multiple antibiotic resistance (MAR) index was determined using methods described by Osundiya [24], namely the ratio of the total antibiotics used to the number of antibiotics to which the bacterium was resistant.

2.5. Statistical Analysis

Data were analyzed using the SPSS 24 statistical package (SPSS Inc., Chicago, U.S.A.). The Chi-square test and independent t-test were employed to assess differences in coliform loads from shellfish samples and to assess significant differences of variables at aP value < 0.05.

3. Results

The mean heterotrophic bacteria count of 540 shellfish samples analyzed relative to seasons were: Oyster = 3.27 × 108 - 3.6 × 104 (cfu/g), clams = 8.04 × 107 - 7.93 × 103 (cfu/g) and periwinkles = 2.83 × 107 - 1.45 × 105 (cfu/g) (Table 1). Oyster samples had higher heterotrophic bacteria count than other analyzed shellfish samples. The seasonal distribution of the mean heterotrophic bacteria counts varied; higher counts were recorded during dry seasons compared to counts during the rainy seasons. However, statistical difference between the seasonal heterotrophic bacteria counts was not significant.

In total, 135 Gram-negative bacteria pathogens were detected using the 16S rRNA gene sequences (Figure 2, representative gel). The Bacterial pathogens isolated from the shellfish samples comprised of 5 genera and 14 species that include human pathogens (Table 2). The most prevalent bacterial species isolated

Table 1. Bacterial colonization in shellfish types according to sampling locations.

Table 2. Identification of bacterial strains isolated from shellfish based on 16S rRNA gene sequence.

Figure 2. Agarose gel electrophoresis showing the amplified 16S rRNA gene of the bacterial isolates. Lane L represents the 100 bp molecular ladder.

from all shellfish types were Alcaligenes faecalis (38), Pseudomonas oryzihabitans (16), and Paenalcaligenes retgerii (12) (Table 3). The least dominant bacterial species detected from shellfish samples were Pseudomonas anguillisceptica

Table 3. Distribution of the bacterial isolates from the shellfish samples.

(3) and Pseudomonas aeruginosa (3). Although there were observable seasonal variabilities in the mean heterotrophic bacteria counts and isolation rates, the variations were not statistically significant (Table 4).

The 135 Gram-negative bacteria isolates were tested against 13 selected antimicrobials agents (quinolones, aminoglycoside, sulfonamide, and cephalosporins-3rd generation) and exhibited varied antimicrobial susceptibility patterns, as shown in Table 5. Alcaligenes species were distinctly resistant to all the antimicrobial agents tested save for ceftriaxone and ceftazidime. Similarly, all the identified Vibro species were resistant to all the antimicrobial agents tested, save for norfloxacin and nalidixic acid. Apart from Paenalcaligenes species, all other isolates exhibited 100% resistance to at least three of the ESBL detection antibiotics tested.

4. Discussion

Discoveries of multi-drug resistant bacteria in consumed seafood have become a matter of great public health concern. Antimicrobial resistance (AMR) is a worrisome complex health issue globally, and humans, animals and the environment are implicated reservoirs that contribute the propagation of AMR in interconnected ecosystems [25]. Worldwide, the contribution of resistant microbes from various sources seems to be the major base of resistance in the environment [25]. Efforts directed at preventing the emergence and re-emergence of antibiotic-resistant bacteria strains and associated disease underscores the importance of routine antimicrobial susceptibility testing [26]. Shellfish and other aquatic organisms

Table 4. Seasonal variations in the frequency of bacterial isolates from shellfish.

Table 5. Antimicrobial resistance rates of bacterial species isolated from shellfish.

Key: R [Resistance in mm]. Cefotaxime [CTX 30 µg; R < 23], Cefpodoxime [PX 10 ug; R < 18], Ceftriaxone [CAZ 30 µg; R < 20], Ceftazidime [CRO30 µg; R < 18], Cefepime [FEP 10 µg; R < 19], Nalidixic acid [NAL 30 µg; R < 13], Chloramphenicol [CHL 30 µg; R < 12], Imipenem [IMI 10 µg; R < 18], Amikacin [AK 30 µg; R < 12], Norfloxacin [NOR 10 µg; R < 12], Ciprofloxacin [CIP 5 µg; R < 21].

are potential vehicles for the transmission of pathogenic microorganisms [27]. In most parts of Nigeria, shellfish-clams, oysters, periwinkles, etc., are liberally consumed as sources of dietary protein [28]. Although seafood is considered relatively free of human pathogens, except for Vibrio which are natural contaminants of seafood, the screening, monitoring, and surveillance for antimicrobial resistance patterns of pathogens from aquatic seafood sources is key in helping prevent human health risks from seafood consumption [28] [29].

In this study, high heterotrophic bacteria loads were observed in the 540 shellfish analyzed. Remarkably, a higher count was observed in clams than in other examined shellfish. The high heterotrophic bacteria count observed in clams may be attributed to the peculiar filter feeding mechanism in addition to their complex and fine-tuned symbiotic relationship with microbes [30]. It has been opined that many anthropogenic activities and rainfall influence the total heterotrophic counts in the region [31]. On the contrary, our seasonal distribution analysis of the mean heterotrophic bacteria counts revealed that higher counts were recorded during dry season compared to the rainy season. Our finding agrees with an earlier report by Silva-Neta et al. [32] that detected higher bacterial concentrations at the end of the dry season in certain seafood.

Essentially, bacteria found in the aquatic ecosystem can be indigenous or exogenous, persistent or transient as a result of shedding from animal, vegetal, or soil surfaces [9]. Therefore, microbial contamination of seafood can occur at various stages; exposures to the marine environment and weeds, during harvest, packaging, storage, transportation, and processing [33]. The level of seafood contamination is largely dependent on the amount of pollution in the environment [34]. We observed that 95% of the bacterial load measurements exceeded the acceptable contamination limits for shellfish as stipulated by the International Commission on Microbiological Specification for Food (ICMSF), Centre for food safety and applied nutrition (CFSAN) of the US Food and Drug Administration [34]. Apparently, the safest option for consumers is adequate cooking/processing before eating.

The antimicrobial susceptibility patterns of Gram-negative bacteria shellfish isolates vended around Iko and Douglas Creeks in Akwa Ibom State, Nigeria was determined. The 16S ribosomal RNA gene amplicon was used in sequencing and matching a 100% similarity with that from the NCBI gene bank to characterize the following 5 genera and 14 bacterial species that included human bacterial pathogens: Alcaligenes faecalis TRB-7, Pseudomonas oryzihabitans, Paenalcaligenes retgerii, Pseudomonas aeruginosa JB2, Providencia stuartii, Alcaligenes species strain TLT1515, Pseudomonas aeruginosa CIFRI DTSB1, Paenalcaligenes species, Alcaligenes faecalis BT10, Vibrio species, Pseudomonas xiamenensis, Providencia vemicola, Pseudomonas anguillisceptica and Pseudomonas aeruginosa N15-01092. Overall, the genus Alcaligenes was the most predominant bacterial pathogen isolated; it was followed by Pseudomonas oryzihabitans and Paenalcaligenes retgerii. The observed preponderance of the members of the genus Alcaligenes in this study is supported by similar reports from certain seafood products including seafood wastes, shrimp shells, prawn shells, crab shells, and other marine samples [35] [36]. On the other hand, the presence of Alcaligenes genus in seafood may have other biological value due to their good antagonistic and potentially probiotic/inhibitory ability against the growth of vibrio strains and other multidrug-resistant bacteria [37] [38] [39].

Seafood as carriers of multidrug-resistant bacteria has been highlighted as a growing danger leading to the wider dissemination of MDR-bacteria in the community [40]. In this study, all the Gram-negative bacteria isolates from shellfish evaluated exhibited varied high antimicrobial resistance rates to 13 different antimicrobials agents that included ESBL indicators. Predominantly, the Alcaligenes species (Alcaligenes faecalis TRB-7, Alcaligenes species TLT151 and Alcaligenes faecalis BT10) distinctively showed high resistance to most of the antimicrobial agents tested except for ceftriaxone and ceftazidime. High antibiotic resistant rates as observed with the Alcaligenes species in this study conforms with the findings of Ayandiran and Dahunsi, [41] who reported high antibiotics resistance rates among Alcaligenes faecalis isolated from the indigenous fish (Clarias species) from River Oluwa, Nigeria. With decreasing susceptibility rate to commonly used antibiotics, Alcaligenes species particularly the Alcaligenes faecalis which is frequently implicated in infection sites such as the bloodstream, urinary tract, skin and soft tissue, and middle ear, is a potentially emerging pathogen that usually causes opportunistic infections in humans and often very difficult to treat due to its increased resistance to several antibiotics [42].

We found high antimicrobial-resistant and potentially pathogenic Vibrio species in shellfish vended at Iko and Douglas Creeks in Akwa Ibom State. The antimicrobial susceptibility analysis confirmed that the Vibrio species isolated in this study were only susceptible to quinolone (norfloxacin and nalidixic acid), highly resistant to aminoglycosides, beta-lactams (including carbapenems and third-generation cephalosporins) and sulfonamides. Consumption of contaminated seafood or exposure to contaminated water is routes for Vibrio species infections, although self-limiting, it can often be fatal especially in immunocompromised patients or upon failure of antimicrobial therapy [43] [44]. Although cholera cases are frequently reported in areas with inadequate water quality and sewage treatment, other Vibrio species are relevant agents of seafood-borne infections on a global scale [45].

In this study, Pseudomonas species was among the major bacterial contaminants of shellfish and possible marine AMR-indicator candidate. The isolation of Pseudomonas species is consistent with the recent reports of P. aeruginosa—a predominant bacterial contaminant of frozen shellfish retailed within Lagos metropolis in Nigeria [46] [47]. The Pseudomonas species isolated in this study showed notable multiple resistant rates (100%) to ceftriaxone, cefpodoxime, ceftazidime, cefepime, imipenem, and chloramphenicol. The observed multiple resistant rates conformed with an earlier report by Maravić et al. [46] on the detection of multi-drug resistance in Pseudomonas aeruginosa in shellfish from human-impacted marine environment.

Interestingly, apart from the Paenalcaligenes species all the other bacterial isolates in this study exhibited 100% resistance to at least three of the ESBL detection antibiotics tested. The implication is that extended-spectrum β-lactam antibiotics such as cefotaxime, ceftazidime, cefpodoxime, ceftriaxone, aztreonam, and imipenem were widely used for the treatment of infections in the study area. The public health importance in antibiotic resistance studies of pathogens from seafood cannot be overemphasized. This is because aquatic bacteria indisputably contribute to increasing antibiotic selective pressure and facilitate the transfer of antibiotic-resistant determinants between microbial species, including fish and human pathogens; thus, allowing the residual antibiotic presence in commercialized fish and shellfish products [9] [48]. In addition, the discharge of effluents such as raw sewage and antimicrobials in waste water not only contaminate water bodies, but also shellfish harvested from such water bodies. This potentially contributes to the increasing emergence of antibiotic-resistant bacteria and antibiotic-resistant genes in water environments—an important environmental health issue [25]. The finding of antibiotic resistance in pathogenic bacteria from seafood is an invaluable indicator of the extent of alteration of water ecosystems by anthropogenic activities [9].

5. Conclusion

It was found that most of the vended shellfish from Iko and Douglas Creeks in Akwa Ibom State have considerably significant bacteria loads that exceeded the acceptable limits for consumable shellfish products. Pseudomonas species, a possible marine AMR-indicator candidate, was among the major bacterial contaminants of shellfish samples. Analysis of the antimicrobial susceptibility test confirmed that Gram-negative bacteria isolates from shellfish exhibited high antimicrobial resistance rates to different antimicrobials agents including ESBL indicators. Alcaligenes species distinctively showed high resistance to most of the antimicrobial agents tested except ceftriaxone and ceftazidime. Also, isolated Vibrio species were susceptible to quinolone, but highly resistant to aminoglycosides, beta-lactams (including carbapenems and third-generation cephalosporins) and sulfonamides. Overall, Gram-negative bacteria (GNARB) inherent in shellfish can further potentiate the risk of disseminating multi-drug resistance which is a serious public health concern.

Cite this paper: Udoekong, N. , Bassey, B. , Asuquo, A. , Akan, O. , Ifeanyi, C. (2021) Prevalence and Antimicrobial Resistance of Gram-Negative Bacteria Isolates in Shellfish Samples from Two River Estuaries in South-South Nigeria. Advances in Microbiology, 11, 428-443. doi: 10.4236/aim.2021.119032.

[1]   Vincent-Hubert, F., Wacrenier, C., Morga, B., Lozach, S., Quenot, E., Mège, M., Lecadet, C., Gourmelon, M., Hervio-Heath, D. and Le Guyader, F.S. (2021) Passive Samplers, a Powerful Tool to Detect Viruses and Bacteria in Marine Coastal Areas. Frontiers in Microbiology, 12, Article ID: 631174.

[2]   Escobedo-Hinojosa, W. and Pardo-López, L. (2017) Analysis of Bacterial Metagenomes from the Southwestern Gulf of Mexico for Pathogens Detection. Pathogens and Diseases, 75, ftx058.

[3]   Leight, A.K., Crump, B.C. and Hood, R.R. (2018) Assessment of Fecal Indicator Bacteria and Potential Pathogen Co-Occurrence at a Shellfish Growing Area. Frontiers in Microbiology, 9, 384.

[4]   Rincé, A., Balière, C., Hervio-Heath, D., Cozien, J., Lozach, S., Parnaudeau, S., Le Guyader, F.S., Le Hello, S., Giard, J.C., Sauvageot, N., Benachour, A., Strubbia, S. and Gourmelon, M. (2018) Occurrence of Bacterial Pathogens and Human Noroviruses in Shellfish-Harvesting Areas and Their Catchments in France. Frontiers in Microbiology, 9, 2443.

[5]   Potasman, I., Paz, A. and Odeh, M. (2002) Infectious Outbreaks Associated with Bivalve Shellfish Consumption: A Worldwide Perspective. Clinical Infectious Diseases, 35, 921-928.

[6]   Yoder, J.S., Hlavsa, M.C., Craun, G.F., Hill, V., Roberts, V., Yu, P.A., Hicks, L.A., Alexander, N.T., Calderon, R.L., Roy, S.L., Beach, M.J. and Centers for Disease Control and Prevention (CDC) (2008) Surveillance for Waterborne Disease and Outbreaks Associated with Recreational Water Use and Other Aquatic Facility-Associated Health Events—United States, 2005-2006. Morbidity and Mortality Weekly Report: Surveillance Summary, 57, 1-29.

[7]   European Food Safety Authority (EFSA) and European Centre for Disease Prevention Control (ECDC) (2015) The European Union Summary Report on Trends and Sources of Zoonoses, Zoonotic Agents and Food-Borne Outbreaks in 2014. European Food Safety Authority Journal, 13, 3991.

[8]   Kin-Kabari, D.B., Hart, A.D. and Nyeche, P.T. (2017) Nutritional Composition of Selected Shellfish Consumed in Rivers State, Nigeria. American Journal of Food and Nutrition, 5, 142-146.

[9]   Gufe, C., Canaan Hodobo, T., Mbonjani, B., Majonga, O., Marumure, J., Musari, S., Jongi, G., Makaya, P.V. and Machakwa, J. (2019) Antimicrobial Profiling of Bacteria Isolated from Fish Sold at Informal Market in Mufakose, Zimbabwe. International Journal of Microbiology, 2019, Article ID: 8759636.

[10]   Allcock, S., Young, E.H., Holmes, M., Gurdasani, D., Dougan, G., Sandhu, M.S., Solomon, L. and Török, M.E. (2017) Erratum: Antimicrobial Resistance in Human Populations: Challenges and Opportunities—ERRATUM. Global Health, Epidemiology and Genomics, 2, e16.

[11]   Cahill, S.M., Desmarchelier, P., Fattori, V., Bruno, A. and Canavan, A. (2017) Global Perspectives on Antimicrobial Resistance in the Food Chain. Food Protection Trends, 37, 353-360.

[12]   Amarasiri, M., Sano, D. and Suzuki, S. (2020) Understanding Human Health Risks Caused by Antibiotic Resistant Bacteria (ARB) and Antibiotic Resistance Genes (ARG) in Water Environments: Current Knowledge and Questions to Be Answered. Critical Reviews in Environmental Science and Technology, 50, 2016-2059.

[13]   O’Neill, J. (2016) Tackling Drug-Resistant Infection Globally: Final Report and Recommendations. The Review on Antimicrobial Resistance. Analysis and Policy Observer.

[14]   Hosu, M.C., Vasaikar, S., Okuthe, G.E. and Apalata, T. (2021) Molecular Detection of Antibiotic-Resistant Genes in Pseudomonas aeruginosa from Nonclinical Environment: Public Health Implications in Mthatha, Eastern Cape Province, South Africa. International Journal of Microbiology, 2021, Article ID: 8861074.

[15]   Rousham, E.K., Unicomb, L. and Islam, M.A. (2018) Human, Animal and Environmental Contributors to Antibiotic Resistance in Low-Resource Settings: Integrating Behavioural, Epidemiological and One Health Approaches. Proceedings of the Royal Society B: Biological Sciences, 285, Article ID: 20180332.

[16]   Carvalho, I.T. and Santos, L. (2016) Antibiotics in the Aquatic Environments: A Review of the European Scenario. Environment International, 94, 736-757.

[17]   Interagency Coordination Group on Antimicrobial Resistance (2019) No Time to Wait: Securing the Future from Drug-Resistant Infections Report to the Secretary-General of the United Nations.

[18]   Cheng, G., Ning, J., Ahmed, S., Huang, J., Ullah, R., An, B., Hao, H., Dai, M., Huang, L., Wang, X. and Yuan, Z. (2019) Selection and Dissemination of Antimicrobial Resistance in Agri-Food Production. Antimicrobial Resistance and Infection Control, 8, 158.

[19]   Capita, R. and Carlos Alonso-Calleja, C. (2013) Antibiotic-Resistant Bacteria: A Challenge for the Food Industry. Critical Reviews in Food Science and Nutrition, 53, 11-48.

[20]   World Health Organization (2020) Antimicrobial Resistance.

[21]   USFWS/AFS-FHS (2004) Sampling. In: Standard Procedures for Aquatic Animal Health Inspections.

[22]   College of Physicians & Surgeons of Saskatchewan Laboratory Quality Assurance Program (2010) Procedures/Guidelines for the Microbiology Laboratory, College of Physicians & Surgeons of Saskatchewan Laboratory Quality Assurance Program, Saskatchewan, Canada.

[23]   Clinical and Laboratory Standards Institute (2017) Performance Standards for Antimicrobial Susceptibility Testing M02-A12, M07-A10, and M11-A8. 27th Edition, 282.

[24]   Osundiya, O.O., Oladele, R.O. and Oduyebo, O.O. (2013) Multiple Antibiotic Resistance (MAR) Indices of Pseudomonas and Klebsiella Species Isolates in Lagos University Teaching Hospital. African Journal of Clinical and Experimental Microbiology, 14, 164-168.

[25]   Ibrahim, M., Ahmad, F., Yaqub, B., Ramzan, A., Imran, A., Afzaal, M., Mirza, S.A., Mazhar, I., Younus, M., Akram, Q., Ali Taseer, M.S., Ahmad, A. and Ahmed, S. (2020) Current Trends of Antimicrobials Used in Food Animals and Aquaculture. In: Antibiotics and Antimicrobial Resistance Genes in the Environment, Elsevier, Amsterdam, 39-69.

[26]   Algammal, A.M., Mabrok, M., Sivaramasamy, E., Youssef, F.M., Atwa, M.H., El-kholy, A.W., Hetta, H.F. and Hozzein, W.N. (2020) Emerging MDR-Pseudomonas aeruginosa in Fish Commonly Harbor oprL and toxA Virulence Genes and blaTEM, blaCTX-M, and tetA Antibiotic-Resistance Genes. Scientific Report, 10, Article No. 15961.

[27]   Tan, C.W., Rukayadi, Y., Hasan, H., Thung, T.Y., Lee, E., Rollon, W.D., Hara, H., Kayali, A.Y., Nishibuchi, M. and Radu, S. (2020) Prevalence and Antibiotic Resistance Patterns of Vibrio parahaemolyticus Isolated from Different Types of Seasfood in Selangor, Malaysia. Saudi Journal of Biological Sciences, 27, 1602-1608.

[28]   Udoekong, N.S., Bassey, B.E., Asuquo, A.E., Akan, O.D. and Ifeanyi, C.I.C. (2021) Multi-Drug Resistance Genes Associated with Some Gram-Negative Bacteria Isolates from Shellfish in Iko and Douglas River Estuaries in Nigeria. European Journal of Biology and Biotechnology, 2, 19-27.

[29]   Sanjit Singh, A., Lekshmi, M., Prakasan, S., Nayak, B.B. and Kumar, S. (2017) Multiple Antibiotic-Resistant, Extended Spectrum-β-Lactamase (ESBL)-Producing Enterobacteria in Fresh Seafood. Microbiology, 5, 53.

[30]   Guibert, I., Lecellier, G., Torda, G., Pochon, X. and Berteaux-Lecellier, V. (2020) Metabarcoding Reveals Distinct Microbiotypes in the Giant Clam Tridacna maxima. Microbiome, 8, 57.

[31]   Udoh, D.I., Udo, I.U. and Udoh, E.I. (2017) Microbiological Analysis of the Freshwater Clam (Galatea paradoxa, Born 1778) Caught from Cross River, Nigeria. Nigerian Journal of Agriculture, Food and Environment, 13, 59-64.

[32]   Silva-Neta, M.T., Maciel, B.M., Lopes, A.T.S., Marques, E.L.S., Rezende, R.P. and Boehs, G. (2015) Microbiological Quality and Bacterial Diversity of the Tropical Oyster Crassostrea rhizophorae in a Monitored Farming System and from Natural Stocks. Genetic and Molecular Research, 14, 15754-15768.

[33]   Nimnoi, P. and Pongsilp, N. (2020) Distribution and Expression of Virulence Genes in Potentially Pathogenic Bacteria Isolated from Seafood in Thailand. CyTA—Journal of Food, 18, 753-763.

[34]   Amadi-Wali, O., Amadi-Wali, C. and Njigwum, A.S. (2020) Isolation of Diarrhea Causing Organisms (Salmonella and Shigella) from Selected Seafood. International Journal of Tropical Disease and Health, 41, 1-8.

[35]   Omoya, F.O. and Ajayi, A.T. (2020) Assessment of the Microbial Quality of Seafood and Effects of Salt Concentration and Temperature on Isolated Microorganisms. Journal of Microbiology and Antimicrobials, 12, 17-31.

[36]   Thomas, S., Patil, A.B., Salgaonkar, P.N., Shrivastava, S. and Nigam, P.S. (2020) Screening of Bacterial Isolates from Seafood-Wastes for Chitin Degrading Enzyme Activity. Chemical Engineering and Process Technology Journal, 5, 1059.

[37]   Wang, M., Yi, M.M., Lu, M.X., Gao, F.Y., Liu, Z.G., Huang, Q.B., Li, Q.Y. and Zhu, D.X. (2020) Effects of Probiotics Bacillus cereus NY5 and Alcaligenes faecalis Y311 Used as Water Additives on the Microbiota and Immune Enzyme Activities in Three Mucosal Tissues in Nile tilapia Oreochromis niloticus Reared in Outdoor Tanks. Aquaculture Reports, 17, Article ID: 100309.

[38]   Gutiérrez-Falcón, A., Padilla, D., Ramos Sosa, M.J., Martín Barrasa, J.L., Acosta-Hernández, B., Sánchez Henao, A., García álvarez, N., Rosario Medina, I., Déniz, S. and Real, F. (2020) Characterization in Vitro of New Bacterial Strains Showing Potentially Probiotic Crossed Effect against Vibriosis in Relevant Fish Species for Marine Aquaculture. Journal of Applied Animal Research, 48, 553-558.

[39]   Gutiérrez-Falcón, A.I., Ramos-Nuez, A.M., de los Monteros y Zayas, A.E., Castillo, D.F.P., García-Laorden, M.I., Chamizo-López, F.J., Real Valcárcel, F., Campelo, F.A., Benítez, A.B., Salgueiro, P.N., Cabrera, C.D., Rivero-Vera, J.C., González-Martín, J.M., Caballero, J.M., Frías-Beneyto, R., Villar, J. and Martín-Barrasa, J.L. (2021) Probiotic Properties of Alcaligenes faecalis Isolated from Argyrosomus regius in Experimental Peritonitis (Rat Model). Probiotics & Antimicrobial Proteins.

[40]   Das, U.N., Singh, A.S., Lekshmi, M., Nayak, B.B. and Kumar, S. (2019) Characterization of blaNDM-Harboring, Multidrug-Resistant Enterobacteriaceae Isolated from Seafood. Environmental Science and Pollution Research, 26, 2455-2463.

[41]   Ayandiran, T.A. and Dahunsi, S.O. (2017) Microbial Evaluation and Occurrence of Antidrug Multi-Resistant Organisms among the Indigenous Clarias Species in River Oluwa, Nigeria. Journal of King Saud University—Science, 29, 96-105.

[42]   Huang, C. (2020) Extensively Drug-Resistant Alcaligenes faecalis Infection. BMC Infectious Diseases, 20, 833.

[43]   Baker-Austin, C., Oliver, J.D., Alam, M., Ali, A., Waldor, M.K., Qadri, F. and Martinez-Urtaza, J. (2018) Vibrio spp. Infections. Nature Reviews Disease Primers, 4, 1-19.

[44]   Regev, Y., Davidovich, N., Berzak, R., Lau, S.C., Scheinin, A.P., Tchernov, D. and Morick, D. (2020) Molecular Identification and Characterization of Vibrio Species and Mycobacterium Species in Wild and Cultured Marine Fish from the Eastern Mediterranean Sea. Microorganisms, 8, 863.

[45]   Canellas, A.L.B., Lopes, I.R., Mello, M.P., Paranhos, R., de Oliveira, B.F.R. and Laport, M.S. (2021) Vibrio Species in an Urban Tropical Estuary: Antimicrobial Susceptibility, Interaction with Environmental Parameters, and Possible Public Health Outcomes. Microorganisms, 9, 1007.

[46]   Maravić, A., Šamanić, I., Šprung, M., Fredotović, Ž., Ilić, N., Dragićević, J. and Puizina, J. (2018) Broad-Spectrum Resistance of Pseudomonas aeruginosa from Shellfish: Infrequent Acquisition of Novel Resistance Mechanisms. Environmental Monitoring and Assessment, 190, 81.

[47]   Afolayan, O.A., Moruf, R.O. and Lawal-Are, A.O. (2020) Bacterial Contamination and Heavy Metal Residues in Frozen Shellfish Retailed within Lagos Metropolis, Nigeria. Science World Journal, 15, 11-14.

[48]   Alanis, A.J. (2005) Resistance to Antibiotics: Are We in the Post-Antibiotic Era? Archives of Medical Research, 36, 697-705.