Antibiogram and Molecular Characterization of Salmonella species from Borehole Water in some Sub-Urban Communities of Rivers State, Nigeria

1. INTRODUCTION

Salmonella species are Gram-negative, rod-shaped, motile bacteria belonging to the family Enterobacteriaceae [1]. Numerous serotypes have been identified, many of which are capable of causing disease in humans [2]. According to the Kauffmann–White classification system, the genus Salmonella is grouped into two main species, Salmonella enterica and Salmonella bongori [3,4]. Among these, S. enterica is the species most frequently associated with human infections and is further divided into more than 2,600 serovars. The human-adapted serovars S. Typhi and S. Paratyphi A are responsible for enteric fever [5], whereas serovars such as S. Typhimurium and S. Enteritidis are common causes of non-typhoidal salmonellosis worldwide [6]. S. enterica is subdivided into six subspecies designated enterica (I), salamae (II), arizonae (IIIa), diarizonae (IIIb), houtenae (IV), and indica (VI). The Roman numerals I–VI are used to denote these subspecies, while subspecies V is omitted because it previously referred to S. bongori, which has since been recognized as a separate species within the genus [7,8].

Conventional culture-based approaches for detecting Salmonella in water typically involve several sequential steps, including pre-enrichment, selective enrichment, and isolation on selective media such as Salmonella–Shigella agar, followed by biochemical characterization of suspected isolates. Although these procedures remain the standard in many laboratories, they are often labor-intensive, time-consuming, and occasionally yield inconsistent results [9]. To overcome these limitations, molecular diagnostic methods such as the polymerase chain reaction (PCR) have emerged as valuable alternatives or complementary tools for Salmonella detection. PCR assays have demonstrated superior sensitivity and specificity for identifying Salmonella in a variety of sample types, including blood, stool, and environmental materials [10]. The technique functions by amplifying a specific DNA region, allowing even minute quantities of genetic material to be detected and analyzed. During PCR, synthetic DNA primers are used to target and replicate a chosen segment of the bacterial genome. Through repeated cycles of heating and cooling, these fragments undergo exponential amplification, producing sufficient DNA for reliable analysis [11]. In addition to its precision, PCR offers faster turnaround times and greater reproducibility compared to traditional culture-based techniques, making it an indispensable tool in modern microbiological diagnostics.

Several factors have been recognized as drivers of increasing antibiotic resistance among strains. One of the methods of antimicrobial resistance in Salmonella species is the production of the blaTEM gene which plays a critical role in presenting resistance to β-lactam drugs [12] and this has played a great role in the failure of Salmonella typhi treatment in many countries. The most prevalent mechanism of resistance to β-lactam antibiotics involves the production of β-lactamases, enzymes that inactivate β-lactam compounds by hydrolyzing their characteristic four-membered β-lactam ring [13,14].

The stn gene, which encodes a heat-labile enterotoxin located on the chromosome of Salmonella, has been identified as an important virulence determinant contributing to the clinical symptoms observed in gastroenteritis and typhoid fever. [15]. Multiple studies have linked the stn gene to diarrhoea caused by Salmonella infection [16, 17]. The stn gene is recognized as a virulence factor in Salmonella and has been proposed as a potential contributor to diarrhoeal disease, as earlier studies demonstrate that it exhibits enterotoxic activity. Furthermore, studies have shown that a specific portion of the Stn protein (residues 127–142) exhibits structural resemblance to the active sites of cholera toxin (CT) and heat-labile enterotoxin (LT) ADP-ribosyltransferases. Based on this similarity, Stn is proposed to contribute substantially to acute gastroenteritis and diarrhoeal manifestations, playing a role in Salmonella virulence and its enterotoxic effects [18]. The study aimed at assessing the antibiogram and molecular characterization of Salmonella species in borehole water in some sub-urban communities of Rivers State, Nigeria.

2. Materials and Methods

2.1. Description of Study Location

The present study was conducted in Obio/Akpor Local Government Area (LGA) of Rivers State, Nigeria, which is among the 23 administrative LGAs in the state. The study locations were Rumuokparali (4.8637° N, 6.9190° E), Eliozu (4.8599° N, 7.0217° E), and Elelenwo (4.8398° N, 7.0727° E) communities in Obio/Akpor Local Government Area, Rivers State, Nigeria. Geographically, it is located at approximately 4.8776° North and 7.0283° East, The LGA spans an area of approximately 260 km². According to the 2006 census, the LGA had a population of 462,789. Its postal code is 500102, and it is constituted mainly by the people of the Ikwerre ethnic nationality.

2.2. Sample Size Determination

The study’s sample size was calculated using the following formula [19]:

N = [Z2(pq)]/d²

Where: N= required sample size

Z= Normal standard distribution that corresponds to confidence interval as 1.96

 p= Prevalence of Salmonella species

q = 1-p d= expected level of precision at 0.05

2.3. Sample Collection

A total of 120 borehole water samples were collected randomly from three communities within Obio/Akpor Local Government Area, Rivers State. Ten samples were collected from each community during every quarter, resulting in 40 samples per community.

2.4. Transportation and preservation of samples

The collected samples were transported in an icebox maintained at 4ºC and were analyzed in the Microbiology Laboratory within six hours of collection, on the same day of sampling.

2.5. Bacteriological examination

One (1ml) of the sample was pre-enriched into 9mls of selenite broth and incubated at 37^oC for 24 hours. After incubation, it was sub-cultured onto prepared Salmonella shigella agar plates so as to receive individual colonies and further incubated at 37⁰C for 24 hours. Suspected colonies were streaked onto nutrient agar slant for purification, Gram stain reaction, biochemical and serological identification [20, 21] were caried out on the isolates.

2.6 Antibiotic susceptibility test

Antimicrobial susceptibility of the Salmonella isolates was assessed using the Kirby–Bauer disc diffusion technique following Clinical and Laboratory Standards Institute (CLSI) recommendations. The antibiotic agents tested were Amoxicillin–Clavulanate (30 μg), Nalidixic acid (30 μg), Cefotaxime (25 μg), Imipenem (10 μg), Ofloxacin (5 μg), Gentamicin (10 μg), Nitrofurantoin (300 μg), Cefuroxime (30 μg), Ceftriaxone–Sulbactam (45 μg), Ampiclox (10 μg), Cefixime (5 μg), and Levofloxacin (5 μg). A bacterial inoculum was prepared from 24-hour cultures suspended in sterile normal saline and adjusted to the turbidity equivalent of a 0.5 McFarland standard. The standardized suspension was evenly spread across Mueller–Hinton agar plates using sterile swabs. Following a short drying period of approximately 3–5 minutes, antibiotic discs were carefully positioned on the agar surface with sterile forceps, ensuring proper spacing between discs and from the edges of the plates. Each disc was gently pressed to secure full contact with the agar surface. The plates were subsequently incubated at 37°C for 24 hours, after which inhibition zones were measured and interpreted according to established CLSI criteria. Following incubation, the bacterial growth was evaluated and the size of the inhibition zones was determined by measuring from one edge to the other edge of the zone using a metric ruler placed on the plate [22]. Findings of antibiotic resistance testing were recorded as susceptible, intermediate, and resistant [23].

2.7 Determination of Multiple Antibiotic Resistance (MAR) Index

An isolate was considered to exhibit multiple antibiotic resistance when it showed resistance to at least three different antibiotics. The Multiple Antibiotic Resistance (MAR) index was calculated for each isolate to determine the level of resistance using the formula:

where a is number of antibiotics to which the isolate is resistant, and b is total number of antibiotics tested for an isolate.

2.8 Molecular Characterization

2.8.1 Salmonella Genomic DNA Extraction

Genomic DNA from Salmonella isolates was extracted using the Bioneer AccuPrep DNA extraction kit following the manufacturer’s instructions. Broth cultures of the isolates were first centrifuged at 8000 rpm for 5 minutes to pellet the bacterial cells, after which the supernatant was removed. The resulting pellets were resuspended in a solution containing 20 μl Proteinase K and 10 μl RNase and briefly incubated at room temperature to facilitate enzymatic digestion.

Thereafter, 200 μl of Genomic Binding (GB) buffer was added, mixed thoroughly to obtain a uniform suspension, and incubated at 60 °C for 10 minutes to achieve complete cell lysis. Subsequently, 400 μl of chilled absolute ethanol was added, mixed, and the resulting lysate was transferred into a binding column followed by centrifugation at 8000 rpm for 1 minute. The filtrate was discarded, and the column was washed successively with 500 μl of Wash Buffer 1 and Wash Buffer 2, each step followed by centrifugation. To eliminate any remaining ethanol, the column was further centrifuged at 12,000 rpm for 1 minute. DNA was then eluted by adding 200 μl of elution buffer to the column, allowing brief absorption, and centrifuging at 8000 rpm for 1 minute. The purified DNA obtained was collected and stored at 4 °C for short-term preservation.

2.8.2 Polymerase Chain Reaction (PCR) Amplification

Extracted DNA from Salmonella isolates was amplified using Polymerase Chain Reaction (PCR) to detect the presence of the invA gene. Amplification reactions were prepared using 20 μl of AccuPower PCR pre-mix containing Taq DNA polymerase, dNTPs, and MgCl₂. The reaction mixture was completed by adding 16 μl of deionized water, 2 μl of template DNA, and 2 μl each of forward and reverse primers specific for the invA gene, followed by gentle centrifugation to ensure proper mixing of the components. A negative control reaction was also included, in which template DNA was replaced with deionized water while maintaining the primer concentration. PCR amplification was conducted under the following thermal cycling conditions: an initial denaturation at 94 °C for 5 minutes, followed by 35 cycles consisting of denaturation at 94 °C for 30 seconds, primer annealing at 52 °C for 30 seconds, and extension at 72 °C for 1 minute. A final extension step at 72 °C for 5 minutes was carried out to complete DNA strand synthesis.

2.8.3 Sample Preparation and Gel Electrophoresis

Agarose gel was prepared by dissolving 3 g of agarose in 100 ml of Tris–acetate–EDTA (TAE) buffer, followed by heating in a microwave until the solution became clear and fully dissolved. The molten agarose was then cooled in a water bath to approximately 50–55 °C, after which 5 μl of ethidium bromide was added and mixed thoroughly. The prepared gel solution was poured into a casting tray equipped with a comb and left at room temperature for 15–30 minutes to allow solidification.

Once the gel solidified, the comb was carefully removed, and the gel was positioned in an electrophoresis tank containing TAE buffer. A 100 bp DNA ladder was loaded into the first well to serve as a molecular size marker, followed by loading of PCR products, while the negative control sample was placed in the final well. Electrophoresis was performed for about 35 minutes, after which the gel was removed and examined under a UV trans-illuminator to visualize and record the DNA bands.

2.8.4 Amplification of the 16S rRNA Gene from Bacterial Isolates

The 16S rRNA gene of the bacterial isolates was amplified using PCR with a total reaction volume of 12.5 µL. The reaction mixture contained Taq 2X Master Mix (New England Biolabs), 1 µL each of 10 µM forward primer (27F: AGAGTTTGATCMTGGCTCAG) and reverse primer (1525R: AAGGAGGTGWTCCARCCGCA), along with 2 µL of template DNA. Nuclease-free water was added to adjust the mixture to the final reaction volume. Amplification was conducted using standard PCR cycling parameters appropriate for 16S rRNA gene amplification.

 

 

2.8.5 Sequencing and Phylogenetic Analysis

Obtained sequence data were analyzed using the Basic Local Alignment Search Tool (BLAST) hosted by the National Center for Biotechnology Information (NCBI) to determine sequence similarity and confirm organism identity. Phylogenetic relationships among the isolates were reconstructed using the Neighbor-Joining algorithm. Evolutionary distances were estimated using the p-distance model, which measures the number of nucleotide differences per site between sequences. All phylogenetic and evolutionary analyses were performed using Molecular Evolutionary Genetics Analysis (MEGA X) software.

2.9       Molecular Antibiotic Resistance and Toxigenic gene Screen

2.9.1    blaTEM and STN Gene Amplification

The Salmonella isolates were further subjected to molecular antibiotics resistance and toxigenic gene screening for blaTEM and STN gene using PCR. The primers employed for detection of the blaTEM gene were blaTEM forward (5’-ATGAGTATTCAACATTTCCG-3’) and blaTEM reverse (5’-CTGACAGTTACCAATGCTTA-3’). For amplification of the stn gene, the primers used were forward (5′-CTTTGGTCGTAAAATAAGGCG-3′) and reverse (5′-TGCCCAAAGCAGAGAGATTC-3′). PCR amplification reactions were prepared in a final volume of 25 µl containing 12 µl of Taq master mix, 1 µl each of forward and reverse primers, 1 µl of template DNA, and distilled water, with nuclease-free water added to achieve the required final volume. These primers were specifically used to amplify the blaTEM and stn target genes. PCR amplification was conducted in a thermocycler under optimized conditions consisting of an initial denaturation at 94 °C for 1 minute, followed by annealing at 57 °C for 1 minute to facilitate primer attachment, and extension at 72 °C for 10 minutes to enable DNA synthesis by Taq polymerase. A final extension step at 72 °C for 2 minutes ensured completion of DNA strand elongation. The resulting PCR products were resolved by electrophoresis on a 2% agarose gel stained with SYBR® Safe DNA gel stain and run at 100 V and 250 mA for approximately 35 minutes. DNA bands were then visualized under a UV transilluminator to confirm successful amplification and allow further analysis.

3. Results

The antibiotic susceptibility pattern of Salmonella isolates recovered from the sampled communities is illustrated in Figure 1. Complete resistance (100%) was observed against cefotaxime, nitrofurantoin, ceftriaxone, and cefixime among all isolates tested. Resistance to nalidixic acid and ofloxacin was recorded in 76% of the isolates, while 88% exhibited resistance to both imipenem and augmentin. A lower resistance rate of 20% was noted for levofloxacin, whereas resistance to cefuroxime, ampiclox, and gentamicin occurred in 92%, 96.2%, and 52% of isolates, respectively. Evaluation of the Multiple Antibiotic Resistance (MAR) index showed that all isolates were resistant to more than two antibiotics, with index values ranging between 0.2 and 0.9, as presented in Figure 2. Agarose gel electrophoresis results demonstrated the presence of the blaTEM gene in all isolates analyzed (Plate 1). Similarly, amplification of the stn gene produced bands at approximately 260 bp, indicating its occurrence in every isolate screened (Plate 2). Amplification of the 16S rRNA gene is also shown in Plate 2, while Table 1 provides a summary of sequence similarity percentages between the study isolates and reference Salmonella strains.

Phylogenetic analysis based on evolutionary distances calculated using the Jukes–Cantor model (Figure 3) confirmed that the obtained 16S rRNA sequences clustered within Salmonella enterica. Specifically, isolate RK2 showed 98.19% similarity to Salmonella enterica subsp. enterica serovar Montevideo strain 11TTUC-046, while RK3 shared 96.83% similarity with S. enterica subsp. enterica serovar Paratyphi C strain SA49. Isolate RK7 demonstrated 99.51% similarity to S. enterica subsp. enterica serovar Typhi strain PU4, EU5 displayed 99.26% similarity to S. enterica subsp. enterica serovar Typhi strain MSAR18, and EU7 exhibited 99.64% similarity to S. enterica subsp. enterica serovar Enteritidis strain SA26.

Key:  LBC= Levofloxacin; GN= Gentamycin; CXM= Cefuroxime; NA= Nalidixic acid; ACX= Ampiclox; NF= Nitrofurantoin; CTX= Cefotaxime; CRO= Ceftriaxone Sulbactam; IMP= Imipenem/cilastacin; AUG= Amoxicillin Clavulanate; OFX= Ofloxacin; ZEM= Cefexime.

4. Discussion

Evolutionary distances estimated using the Jukes–Cantor model supported the phylogenetic clustering of the obtained 16S rRNA gene sequences within Salmonella enterica. Analysis of the 16S rRNA sequences enabled identification of several Salmonella strains among the isolates, including Salmonella enterica subsp. enterica serovar Montevideo strain 11TTUC-046, serovar Paratyphi C strain SA49, serovar Typhi strains PU4 and MSAR18, and serovar Enteritidis strain SA26. The subspecies and serovars identified in this investigation correspond with findings previously reported in related studies [29]. Similarly, Unezem et al. [30] also observed that isolates grouped into a well-defined phylogenetic cluster within Salmonella enterica serotypes, supporting the consistency of the present results.

The findings of this study recorded that the highest resistance was observed for antibiotics, Nitrofurantoin, ceftrioaxone, and cefexine in which 100% resistance was recorded in all isolates from the sampled locations while ceftazidime, ampiclox, imipenem, nalidixic, and augmentin showed 75%-100% resistance by the isolates from the sampled location. Of recent, antimicrobial resistance (AMR) has become a big threat to health globally and there is an increase level of antibiotic resistance reported with the globe making it difficult to treat infectious diseases, prolong stay in the hospital could result in increase in cost of medical treatment” [31, 32].

The Multiple Antibiotic Resistance (MAR) index reflects the extent to which a bacterial isolate has been exposed to various antibiotics and serves as a measure of its resistance level. A MAR index value of ≥ 0.2 indicates resistance to multiple antibiotics, and increasing values correspond to resistance against more antibiotics [33]. All of the tested Salmonella isolates showed multidrug-resistance with MAR index 0.25 to 1.0. The results of this study are consistent with those reported by Alexander et al. [34]. in which the MAR index of the Staphyloccoccus isolates ranged from 0.2 to 1.0. This suggests that the isolates exhibited resistance to most of the antibiotics tested, which may be due to the existence of multiple resistance genes within their genomes that confer antimicrobial resistance.

The STN gene and BLAtem gene were detected in all (5) five isolates of Salmonella isolated. The 100% detection rate of the gene indicates that it is highly conserved among the Salmonella enterica isolates. The STN gene is recognized as a virulence factor in Salmonella and has been implicated as a potential contributor to diarrheal disease, as previous studies have demonstrated its enterotoxic activity. The finding in this study revealed that 100% of the predominant Salmonella serovar displayed an MDR phenotype which is evident in the MAR index analysis. The prevalence of multidrug resistance recorded in this study can be likely linked with resistance gene such as blaTEM as shown in the result of the antibiotic sensitivity test and the MAR index results.

5. Conclusion

The study has indicated a high level of antibiotic resistance among bacterial isolates from Rumuokparali, Elelenwo, and Eliozu communities. Isolates from all three locations exhibited significant resistance to multiple antibiotics, with 100% resistance observed against key drugs such as nitrofurantoin, ceftriaxone, augmentin, cefexime, and cefotaxime in several locations, the temporal distribution has shown that Salmonella isolates with high MAR indices were predominantly detected in the second and third quarters. Resistance to these antibiotic groups must have been brought about by presence the of the blaTEM gene in the species which was probably transmitted to the vast number of these species in a bid to help them thrive in the presence of these antibiotic classes. The study confirms the presence of STN genes in all molecularly tested isolates, which is a key indication of conserved virulence and resistance traits among Salmonella enterica strains in the region’s water supply.

Competing Interests

Authors have declared that no competing interests exist.

References

[1]    World health Organization (WHO) 2018. “Salmonella (non-typhoidal)”. Available at:        https://www.who.int/news-room/factsheets/detail/salmonella-(non-typhoidal). Accessed April 22nd 2022.

[2]          Xu, H.; Zhang, W.; Zhang, K.; Zhang, Y.; Wang, Z. & Zhang, W., 2021. “Characterization    of Salmonella serotypes prevalent in asymptomatic people and patients”. BMC Infectious Diseases, 21: 632

[3]       Popoff, M. Y. & Le Minor, L., 1997. “Antigenic formulas of the Salmonella serovars. WHO collaborating center for reference and research on Salmonella”. Pasteur Institute, Paris, France.

[4]       Dione, M. M.; Ikumapayi, U. N.; Saha, D.; Mohammed, N. I.; Geerts, S. and Ieven, M., 2011. “Clonal differences between non-typhoidal Salmonella (NTS) recovered from children and animals living in close contact in the Gambia”. PLOS Neglected Tropical Diseases, 5(5): e1148.

[5]       Crump J. A, and Mintz ED., 2010.” Global trends in typhoid and paratyphoid fever”. Clinical and Infectious Diseases. January 15;50(2):241–6. 10.1086/649541 [DOI] [PMC free article] [PubMed]

[6]         Majowicz SE, Musto J, Scallan E, Angulo FJ, Kirk M, & O’Brien SJ., 2010. “The global burden of nontyphoidal Salmonella gastroenteritis”. Clinical Infectious Diseases, 50(6):882–9. 10.1086/650733 

[7]  Brenner FW, Villar RG, Angulo FJ, Tauxe R, and Swaminathan B., 2000. “Salmonella nomenclature”. Journal of Clinical Microbiology, 38:2465-2467

[8]      Issenhuth-Jeanjean S, Roggentin P, Mikoleit M, Guibourdenche M, De Pinna E, and Nair S., 2014. “Supplement 2008-2010 (no. 48) to the White–Kauffmann–Le Minor scheme”. Research in Microbiology, 165:526-530

[9]        Foddai, A. C. G. and Grant, I. R 2020. “Methods for detection of viable foodborne pathogens: current state-of-art and future prospects”. Applied Microbiology and Biotechnology, 104(10):4281–8. doi: https://doi.org/10.1007/ s00253-020-10542-x, 32215710.

[10]     Khokhar., F, Pickard, D., Dyson, Z., Iqbal, J., Pragasam, A., and John, J. J., 2022. “Multiplex PCR assay to detect high risk lineages of Salmonella typhimurium and Paratyphi A”. PLoS One. 17(7):e0267805. doi: https://doi.org/10.1371/journal.pone.0267805, 35867662

[11]   Smith, M., 2023. “Polymerase chain reaction (PCR)”. Bethesda, MD: Genome. gov. Available from: https://www.genome.gov/geneticsglossary/Polymerase-Chain-Reaction

[12]      Nuanmuang, N., Leekitcharoenphon, P., Njage, P. M. K., Thorn, A. V. and Aarestrup, F. M., 2024. “The Dynamics of blaTEM resistance genes in Salmonella tyhi”. Scientific Reports, 14,24311-24318

[13]     Jacoby, G. A., and K. Bush., 2005. β-Lactam resistance in the 21st century, p. 570. In D. G. White, M. N. Alekshun, and P. F. McDermott (ed.), Frontiers in antimicrobial resistance: a tribute to Stuart B. Levy. ASM Press, Washington, DC.

[14]       Medeiros, A. A. 1984.” β-Lactamases”. Br. Med. Bull. 40:18-27. [DOI] [PubMed] [Google Scholar]

[15]      Obi, C. L., Potgieter, N., Bessong, P. O., and Matsaung, G., 2002. “Assessment of the microbial quality of river water sources in rural Venda communities in South Africa”. Water S.A., 28(3), 287-292. 

[16]       Akinyemi, K. O., Bamiro, B. S., and Coker, A. O., 2007. “Salmonellosis in Lagos, Nigeria:     incidence of Plasmodium falciparum-associated co-infection, patterns of antimicrobial resistance, and emergence of reduced susceptibility to fluoroquinolones”. Journal of health, population, and nutrition, 25(3), 351–358.

[17]     Smith, S., Bamidele, M., Goodluck, H., Fowora, M., Omonigbehin, E., Oper, B. and Aboaba, O., 2009. “Antimicrobial susceptibilities of Salmonellae isolated from food handlers and Cattle in Lagos, Nigeria”. International Journal of Health Research, 2(2).

[18]   Nakano, M., Yamasaki, E., Ichinose, A., Shimohata, T., Takahashi, A., Akada, J. K., Nakamura, K., Moss, J., Hirayama, T. and Kurazono, H., 2012. “Salmonella enterotoxin (Stn) regulates membrane composition and integrity”. Disease Models and Mechanism, 5(4),515-21.

[19]     Niang, L., Winn, T. and Nordin, R., 2006. “Practical issues in calculating the sample size for prevalence studies”. Archives of Orofacial Sciences, 1.

[20]     Neil, S. Sodha, and l. Lukwago., 2009. “A large outbreak of typhoid fever associated with a high rate of intestinal perforation in Kasese district, Uganda.” Clinical infectious diseases. 54 (8), 1091–1099.

[21]     Bhatta, K. C. Bhuyan, and Maharjan., 2005. “The study, antibiotic sensitivity pattern of Salmonella species isolated from blood culture.” Journal of Nepal Health Research Council, 3.

[22]     Clinical and Laboratory Standards Institute “CLSI” (2013): Performance standards for antimicrobial susceptibility testing; twenty third informational supplements. M100-S23: 1-61.

[23]    National Committee for Clinical Laboratory Standards. (2004). “Performance standards for antimicrobial susceptibility testing. Approved standard M100-S14.” 14th informational supplement

[24]    Sampson, T., Barika, P. N., Peekate, L. P. and Akani, N.P., 2020. “Prevalence and antibiogram of Escherichia coli isolated from edible cockle (Senilia senilis) in Rivers State, Nigeria”. International Research Journal of Public and Environmental Health, 7 (5), 149-156.

[25]     Nga, T. V., Karkey, A., Dongol, S., Thuy, H. N., Dunstan, S., Holt, K., Tu, L. T., Campbell, J. I., Chau, T. T., Chau, N. V., Arjyal, A., Koirala, S., Basnyat, B., Dolecek, C., Farrar, J. and Baker, S., 2010. the sensitivity of Realtime PCR Amplification Targeting Invasive Salmonella Serovars in Biological Specimens. BMC Infectious Diseases, 10, 125–129.

[26]     Saitou. N, and Nei, M., 1987. “The Neighbor-Joining Method: A New Method for Reconstructing Phylogenetic Trees”. Molecular Biology and Evolution, 4, 406–425.

[27]     Nei, M and Kumar, S., 2000. Molecular Evolution and Phylogenetics. New York: Oxford University Press. 

[28]     S. Kumar, G. Stecher, M. Li, C. Knyaz, and K. Tamura., 2018. “Molecular Evolutionary Genetics Analysis Across Computing Platforms”. Molecular Biology and Evolution, 35, 1547–1549.

[29]     Tarazi, Y. H., Al Dwekat, A. F. and Ismail, Z. B., 2021. “Molecular characterization of Salmonella spp. isolates from river and dam water, irrigated vegetables, livestock, and poultry manures in Jordan”. Veterinary World, 14(3), 813-819.

[30]     Unezem S. B., Chollom, P. F., Agabi, Y. A., Mawak, J. D., Egbere, O. J., Dashen, M. M., Okojokwu, J. O., Richard, K. J. and Lar, P. M., 2021. “Molecular Characterisation of Sallmonella Species Isolated from Some Hospitals in Jos, Nigeria”. European Journal of Biology and Biotechnology, 2(2), 1-5

[31]     Igoni, Y. G., Stephenson, D. L., Atah, N. S and Amaechi, C. O., 2023. “Antimicrobial and Metal Tolerance of Bacteria Isolated from Underground Water Sample of Aged Crude Oil Contaminated Site”. South Asian Journal of Research in Microbiology, 15 (4),1-9

[32]     Deidei, H. B., Aleruchi, O., Stephenson, D. L. and Igoni, Y. G., 2023. “Antibiogram of Staphylococcus species isolated from some abbatoir in Rivers State”. South Asian Jurnal of Microbiology,15, 1-1

[33]     Finberg, R. W., Moellering, R. C., Tally, F. P., Craig, W. A., Pankey, G. A., and Dellinger, E. P., 2004. “The importance of bactericidal drugs: future directions in infectious disease.” Clinical Infectious Diseases, vol. 39, pp. 1314–1320.

[34]     Alexander, J., Sampson, T. and Ugboma., C. J., 2023. “Antibiotics Resistance and Plasmid Curing Studies of Staphylococcus aureus associated with Wound Infection amongst Patients Accessing University of Port Harcourt Teaching Hospital, Rivers State, Nigeria’. International Journal of Healthcare and Medical Sciences, 9 (3), 32-38.