Skip to main content

Isolation and characterization of Streptococcus agalactiae inducing mass mortalities in cultured Nile tilapia (Oreochromis niloticus) with trials for disease control using zinc oxide nanoparticles and ethanolic leaf extracts of some medicinal plants

Abstract

Background

Streptococcus agalactiae (Group B streptococcus, GBS) induces a serious infection that can harm not only aquatic life but also humans and other animals. In a fish farm in southern Egypt, Nile tilapia (Oreochromis niloticus) has developed an epidemic with clinical symptoms resembling piscine streptococcosis.

Results

Initial microscopic inspection of the affected fish brain and kidney indicated the presence of Gram-positive cocci. S. agalactiae was effectively isolated and identified using nucleotide homology of the 16S rRNA and species-specific PCR. The partial 16S rRNA sequence was deposited in the GenBank database at the NCBI and given the accession number MW599202. Genotyping using RAPD analysis indicated that the isolates in the present study belonged to the same genotypes and had the same origin. The challenge test, via immersion (9.2 × 107, 9.2 × 106, and 9.2 × 105 CFU/ml for 1 h) or intraperitoneal injection (4.6 × 107, 4.6 × 106, and 4.6 × 105 CFU/fish), elicited clinical symptoms resembling those of naturally infected fish with a mortality rate as high as 80%. The ability to create a biofilm as one of the pathogen virulence factors was verified. Zinc oxide nanoparticles and the ethanolic leaf extracts of nine medicinal plants demonstrated considerable antibacterial activities against the tested S. agalactiae strain with low minimum bactericidal concentrations (MBC) and minimum inhibitory concentrations (MIC). The ethanolic leaf extracts from Lantana camara and Aberia caffra showed potent antibacterial activity with MBC values of 0.24 and 0.485 mg/ml, and MIC values of 0.12 & 0.24 mg/ml, respectively.

Conclusion

This study isolated S. agalactiae from O. niloticus mortalities in a fish farm in Assiut, Egypt. The pathogen persists in fish environments and can escape through biofilm formation, suggesting it cannot be easily eliminated. However, promising findings were obtained with in vitro control employing zinc oxide nanoparticles and medicinal plant extracts. Nevertheless further in vivo research is needed.

Peer Review reports

Background

Streptococcosis is considered one of the most devastating bacterial diseases, causing economic losses in many fish species, especially those raised in warm water [1]. There have been numerous instances of streptococcosis in both cultured and wild marine fishes [2] as well as freshwater fish species worldwide [3, 4]. The disease’s most well-known clinical signs are “pop eye” and erratic swimming [5]. Although many bacterial pathogens have been linked to fish streptococcosis, the Gram-positive bacteria Streptococcus agalactiae, S. iniae, S. parauberis, and S. dysgalactiae are by far the most prevalent causative agents of these diseases all over the world [3, 5]. Streptococcus agalactiae (Lancefield group B streptococci, GBS) is an emerging zoonotic pathogen originally known as S. difficile [6], is linked to diseases not only in fish but also in humans, dogs, cows, horses, and other animals [7].

Nile tilapia (Oreochromis niloticus) is a prominent freshwater aquaculture species globally. Since intensive tilapia farming has supplanted traditional tilapia farming, it is more vulnerable to several infectious diseases, such as streptococcosis caused by S. agalactiae, which causes mass mortalities in O. niloticus aquaculture with huge economic losses worldwide [1, 8,9,10,11,12,13,14,15,16,17]. Traditional phenotypic methods in conjugation with molecular methods were used to identify this pathogen. In addition, DNA-based typing techniques such as random amplification of polymorphic DNA (RAPD), which is a simple technique that can provide a sufficient assay for polymorphism [18], have been used to genotype S. agalactiae isolates originating from different sources. The fecal-oral pathway is the primary means of streptococcosis transmission [19]. Diseased fish can harbor bacteria in their excrement that can live in water and spread to healthy fish [20]. Loss of appetite, unilateral or bilateral exophthalmos (pop-eye), corneal opacity, hemorrhage on the skin, base of the fins, or around the eyes, accumulation of serosanguineous fluid in the abdominal cavity, meningitis, and neurological signs like circling, swirling, or disorientation are the most common gross findings in tilapia infected with S. agalactiae [11, 12, 14, 15, 21]. It is commonly known that the pathogenesis and persistence of certain bacteria and bacterial diseases depend on biofilm production [22]. These ubiquitous microbiological communities, embedded in adherent extracellular matrices, have a significant and possibly contradictory function in aquaculture. Additionally, biofilms have the potential to serve as a reservoir for pathogenic microorganisms, protecting and harboring them to raise the risk of recurrent infections [23]. A disease outbreak with fish exhibiting septicemic symptoms has been recently recorded in a Nile tilapia farm in Assiut City, Egypt, resulting in substantial mortalities and financial losses. Therefore, the present study was directed to investigate and characterize the disease-causing agent. Trials to control the disease, employing ethanolic leaf extracts of some medicinal plants as well as zinc oxide nanoparticles, have also been conducted.

Methods

Fish

Moribund Nile tilapia (n = 60), exhibiting evidence of septicemia (Fig. 1), were caught in the summer of 2020 from an aquaculture facility at the Faculty of Veterinary Medicine, Assiut University, Assiut, Egypt. This facility had experienced significant mortalities with a septicemic picture and some other symptoms on the dead fish, including dark coloration, hemorrhages distributed throughout the body and at the base of the fins, corneal opacity, unilateral or bilateral exophthalmia, abdominal distension, and skin ulceration with scale loss. Moribund fish were transported directly to the fish diseases laboratory at Assiut University. Their average standard length and average body weight were 13.5 ± 1.5 cm and 45 ± 10 g, respectively. The fish were humanely euthanized using clove oil [24] for tissue sampling, and handled in accordance with the standard protocol approved by Minia University, Faculty of Veterinary Medicine Ethics Committee for Animal Use and Care (Number IRB-FVM-MU-2020-54, date 4.3.2020).

Isolation and identification of the causative agent

From the sampled fish, Gram-stained impression smears were made from the anterior kidney and brain. Tryptic soy agar (TSA; Biolife), brain heart infusion agar (BHIA; Himedia), and Streptococcus selective agar (SSA; Himedia) were used to isolate the causative agent. Plates were then incubated at 28 °C for 48 h. Purified dominant isolates were preserved at − 80 °C in BHI broth containing 25% glycerol for further characterization [25].

For the colony morphology study, bacteria were streaked on different culture media (BHIA, TSA, and SSA), incubated at 28 °C for 24 h, and 48 h, photographed, and measured using a Leica Microsystem (Switzerland; version 3.4.0). Subsequently, bacterial isolates were characterized phenotypically, physiologically, and biochemically using conventional methods (listed in Table 1). The tests included Gram-stain, motility in sulfide indole motility medium, hemolysis on 5% sheep blood agar, cytochrome oxidase, catalase, esculin hydrolysis on bile esculin slants, and H2S production in TSI slants. The survival of the isolates at different temperatures (10, 15, and 42 °C), as well as their tolerances to various salinities (1.5, 4.5, 5, 6, and 6.5%), have been determined. To investigate the period within which the bacteria can survive in sterile freshwater, the tested isolate was inoculated in 0.2 μm-filter sterilized fresh water and incubated at various temperatures (15, 28, and 35 °C). Thereafter, bacterial counts (triplicates/isolate) were performed daily until the complete disappearance of bacteria for three consecutive days.

Table 1 Phenotypic characteristics of Streptococcus agalactiae (MW599202) strains isolated from Nile tilapia (Oreochromis niloticus) mass mortalities using conventional tests

To characterize the isolates molecularly, colonies (grown on BHIA) were picked and the whole genomes were extracted using the CTAB method, as previously described (Abdallah et al., 2018). Then, a nanodrop spectrophotometer (Implen GmbH, Germany) was used to measure DNA concentration and purity at an optical density (OD) of 260 nm and a relative OD of 260/280 nm, respectively. Until used, DNA samples were stored at − 20 °C. The universal primers 27F and 1492R [26] were employed in a polymerase chain reaction (PCR) to amplify the hypervariable 1500 bp segment of the 16S rRNA. A total of 50 µl volume was used for the PCR reactions, which consisted of 25 µl MyTaq red mix (Bioline, UK), 2 µl of each primer, 4 µl template DNA (containing 100 ng of the whole bacterial genome), and 17 µl H2O (RNase /DNase free). The Veriti thermal cycler (Applied Biosystems, USA) was used to perform PCR amplification with an initial denaturation step at 95 °C for 5 min, followed by 35 cycles of denaturation at 94 °C for 1 min, annealing at 55 °C for 1 min, extension at 72 °C for 1.5 min, and a final extension step at 72 °C for 10 min. Additionally, a Streptococcus agalactiae-specific PCR was carried out following the method of G Martinez, J Harel and M Gottschalk [27], using a species-specific primer set, (F1: 5`-GAGTTTGATCATGGCTCAG-3` and 1MOD: 5`-ACCAACATGTGTTAATTACTC-3`) targeting the 16S rRNA gene (220 bp). The PCR products were electrophoresed on a 1.5% agarose gel, stained with ethidium bromide, and visualized using a UV transilluminator (MultiDoc- It, UVP, UK). The size of the PCR products was determined using a 100-bp DNA ladder. Subsequently, the PCR products from the gel were purified using the Zymoclean Gel DNA Recovery Kit (Zymo Research, USA) before being sequenced with the same amplification primers. Similarities to other related published sequences were assessed using the Basic Local Alignment Search Tool (BLAST) (http://www.ncbi.nlm.nih.gov/BLAST/).

Phylogenetic analysis

Trimming the 16S rRNA gene sequences obtained in this investigation was done using DNA Baser (version 5.15.0). The resulting 16S rRNA gene sequences were compared to closely comparable sequences in the GenBank and then uploaded to the GenBank to get accession numbers. Lactococcus garvieae (MF351803.1) served as the outgroup in this study. The Maximum Likelihood approach and the Tamura-Nei model [28], which used the random stepwise addition of 1000 replicates, were used to infer the evolutionary history. The tree that has the highest log likelihood (-4024.82) is displayed. By automatically applying Neighbor-Join and BioNJ algorithms to a matrix of pairwise distances calculated using the Tamura-Nei model and then choosing the topology with the highest log likelihood value, the initial tree(s) for the heuristic search were created. The tree was depicted to scale (next to the branches), with branch lengths measured in the number of substitutions per site. The proportion of sites where at least 1 unambiguous base is present in at least 1 sequence for each descendent clade was shown next to each internal node in the tree. There were 17 nucleotide sequences in this investigation. Codon positions included were 1st + 2nd + 3rd + Noncoding. Gaps and missing data were removed from all positions (complete deletion option). The final dataset contained 1513 positions altogether. MEGA11 version 11.0.13 was used to conduct an evolutionary analysis [29]. A TIF file was created when the tree was modified in Microsoft PowerPoint 365. Additionally, the Maximum Composite Likelihood model [30] was used to calculate the intraspecific and interspecific divergence distances among 16 Streptococcacea 16S rRNA gene sequences, including the isolate used in the current investigation.

Fingerprinting and genetic relatedness among isolates

According to the manufacturer’s recommendation, a Ready-To‐Go Random Amplified Polymorphic DNA (RAPD) PCR Analysis Kit (GE Healthcare, UK) with six primers (P1 to P6) was used to perform the RAPD PCR analysis for representative isolates (n = 4), as previously described [18]. Briefly, the PCR mixture of 25 µL contained Ready-To-Go RAPD analysis beads, 25 pmol of a single RAPD primer, 50 ng of template DNA, and nucleases-free distilled water. The bead contained thermo-stable polymerase, dNTPs (0.4 mM each dNTP in a 25 µl reaction volume), BSA (2.5 µg) and buffer (3 mM MgCl2, 30 mM KCl and 10 mM Tris, pH 8.3 in a 25 µl). Six primers (P1-P6; GE Healthcare, UK) were used in this study. Each primer is a 10-mer of arbitrary sequence: P1 (5′-GGTGCGGGAA-3′), P2 (5′-GTTTCGCTCC-3′), P3 (5′-GTAGACCCGT-3′), P4 (5′-AAGAGCCCGT-3′), P5 (5′-AACGCGCAAC-3′) and P6 (5′-CCCGTCAGCA-3′). PCR was performed using a Veriti 96-well thermal cycler (Applied Biosystems, USA). PCR conditions included 1 cycle of 95 °C for 5 min, followed by 45 cycles of 95 °C for 1 min, 36 °C for 1 min and 72 °C for 2 min. The PCR products were electrophoresed using 2% agarose gel in Tris-acetate EDTA (TAE) buffer, stained with 0.05 µg/ml ethidium bromide (Serva, Germany), and visualized using UV transillumination (MultiDoc- It, UVP, UK). The size of the PCR products was determined using a 100 bp DNA ladder H3 RTU (GeneDireX).

Challenge test

One hundred and twenty apparently healthy O. niloticus, with an average body weight of 25 ± 3 g and an average standard length of 9.0 ± 0.3 cm, were utilized. Before experimental infection, the fish were kept in a flow-through system (200-liter glass aquaria), fed commercial feed, and given two weeks of acclimation following the method of Ellsaesser & Clem [31]. Feeding was halted two days before the experimental infection. The dissolved oxygen content was kept between 6.0 and 7.0 mg/L, the pH was between 7.2 and 7.5, and the water’s temperature was 28 ± 1 °C. For verification, five fish were randomly selected and underwent comprehensive clinical, bacteriological, and molecular analysis to confirm their freedom from S. agalactiae, as outlined by E Soto, M Zayas, J Tobar, O Illanes, S Yount, S Francis and MM Dennis [32]. The randomization of fish into groups followed the guidelines set forth by The Animals in Research Reporting In Vivo Experiments 2 (ARRIVE 2) guidelines [33]. S. agalactiae (ESHA-Strept. 1), isolated in the present study, was used. The fish were divided into 8 groups of 15 fish each. The first three groups received intraperitoneal (IP) injections [18, 34] of 0.05 ml bacterial suspension in PBS (4.6 × 107, 4.6 × 106, and 4.6 × 105 CFU/fish, respectively). Fish in the fourth, fifth, and sixth groups, were immersed in water containing 9.2 × 107, 9.2 × 106, and 9.2 × 105 CFU/ml for one hour before being transferred to corresponding 200 L aquaria containing chlorine-free water. The seventh (sham control) group was IP injected with 0.05 ml of sterile PBS. As an absolute control, the eighth group, was kept unexposed to any experimental interference to ensure that the mortalities were only due to the pathogen and not to other environmental factors. The experimental infection was conducted in triplicates under static conditions. Fish were monitored daily for 15 days, and any clinical signs and mortalities were recorded. Recently dead fish were subject to bacterial re-isolation. Simple linear regression analysis in GraphPad Prism 8 (version 8.4.3 (686) June 2020) was used to analyze the survival rates after 15 days. Then, the survivors were humanely euthanized using clove oil [24] for tissue sampling. The pathogen was then retrieved from the kidney, and brain on BHIA.

Biofilm detection and quantification

To determine the ability of biofilm generation, representative isolates (n = 7) were tested as described by ESH Abdallah, MM Mahmoud and IR Abdel-Rahim [35] with some modifications. Briefly, the bacterial count was adjusted to around 7 × 105 CFU/ml in BHI broth (BHIB). Two hundred microliters of the bacterial suspension in BHIB per well were added to the 96-well polyvinyl chloride (PVC) microtiter plate, with twelve replicates. The negative control consisted of wells containing uninoculated media. The plates were then incubated at 28 °C for 48 h. Biofilm quantification was performed by the crystal violet assay, according to T-J Kim, BM Young and GM Young [36]. Biofilm development was quantified using monitoring the OD630 values with an ELx808™ microplate reader running Gene 5 software (Bio‐Tek, USA). Following the procedures outlined by S Stepanović, D Vuković, I Dakić, B Savić and M Švabić-Vlahović [37], the tested strains were categorized into four groups according to their OD values, for biofilm interpretation. This was carried out after subtracting the control OD, resulting in classifications of: no biofilm producer; weak biofilm producer; moderate biofilm producer, and strong biofilm producer.

Antimicrobial activity of medicinal plants

The assay was performed using sterile polystyrene 96-well microtiter plates as previously described by JR Soberón, MA Sgariglia, DA Sampietro, EN Quiroga and MA Vattuone [38], with minor modifications. Briefly, the leaves of Aberia caffra Hook. f. & Harv., Azadirachta indica L., Dodonaea viscosa L., Ficus nitida L., Lanatana camara L., Myrtus communis L., Olea europaea L., Ruta graveolens, and Schinus terebinthifolius Raddi during the flowering stage were extracted using 70% ethanol [39] and then dissolved in dimethylsulfoxide (DMSO) to give a concentration of 200 mg/ml. In the first well, 100 µl of each plant extract was added to 100 µl of sterile double-strength BHIB. A two-fold serial dilution of each extract was done, resulting in a concentration range of 250–0.122 mg/ml. Thereafter, each well received 100 µl of a bacterial suspension in BHIB containing 1 × 105 CFU/ml. To exclude any potential antibacterial effects of the solvent, bacterial growth controls were made by adding DMSO to the first well. The highest concentration of DMSO (25%) was in the first well and decreased two-fold in each subsequent well, and the bacterial growth was never inhibited by 25% DMSO. Sterility controls were created by using just sterile, uninoculated BHIB. Each assay was carried out in triplicate. For 24 h, the plates were then incubated at 28ºC. The plant extract’s minimum inhibitory concentration (MIC) was estimated as that which inhibited bacterial growth. Twenty microliters from each well were aseptically aspirated, inoculated onto BHIA, and incubated at 28ºC for 48 h to determine the minimum bactericidal concentration (MBC). Aliquots obtained from the growth control wells were used as bacterial viability controls. The MBC was designated as the lowest concentration of plant extract that showed no bacterial growth.

Antibacterial activity of zinc oxide nanoparticles (ZnO NPs)

Zinc oxide nanoparticles (ZnO NPs, Sigma Aldrich, < 35 nm average particle size) were tested for their antibacterial activities in sterile polystyrene 96-well plates using the approach of ESH Abdallah, MM Mahmoud and IR Abdel-Rahim [35], with some modifications to allow for the growth of S. agalactiae. Cells of S. agalactiae (MW599202) were cultured in BHIB at 28 °C for 24 h, and the cell number was adjusted to 1.5 × 106 CFU/ml using a ten-fold serial dilution [40]. In the first well of a 96-well microtiter plate, 100 µl of sterile double-strength BHIB were introduced together with 100 µl containing 170 mg of ZnO NPs. A two-fold serial dilution of ZnO NPs was done. S. agalactiae (100 µl) was added to each concentration of ZnO NPs in BHIB at a ratio of 1:1 (v/v), resulting in final concentrations of 42.5, 21.25, 10.625, 5.312, 2.65, 1.32, 0.66, 0.33, 0.17, 0.08, 0.04, and 0.02 mg /well, and incubated at 28 °C for up to 72 h. The negative control (0 mg/well) contained just S. agalactiae- inoculated BHIB. Following the procedure previously described by AA Miles, SS Misra and JO Irwin [40], the total S. agalactiae viable cell count was estimated at 2, 4, 18, 24, 48, and 72 h post-inoculation. To count the developed colonies, 20 µl from each treatment was aseptically aspirated, serially diluted ten times in sterile PBS, dropped onto BHIA plates, and incubated at 28 °C for 48 h. MBC was determined to be the ZnO NPs concentration at which S. agalactiae cell growth was completely inhibited.

Statistical analysis

The one-way analysis of variance (ANOVA; Kruskal-Wallis test) was used to analyze the quantification of biofilms. The data on the antibacterial action of ZnO NPs on the tested strain were analyzed using a two-way ANOVA. To assess the data on survival rates in the challenged fish, simple linear regression was applied. Prism® 8 software (version 8.4.3) programmed onto Graph Pads was used for all analyses. Each result is the mean of three replicates ± the standard error of the mean (SEM) value. A probability of 5% or less was considered a significant difference.

Results

Isolation and identification of the causative agent

Naturally infected Nile tilapia had a dark overall color, significant hemorrhages throughout the body, on the head, and at the base of the fins, along with areas of ulceration and scale loss, frayed fin tips, and hemorrhagic protruded vents (Fig. 1). Some fish also exhibited exophthalmia and intraocular hemorrhages. Internally, they had splenomegaly, hemorrhagic friable livers, and hemorrhagic brains. When the moribund fish’s brain and anterior kidney impression smears were examined under a microscope, numerous Gram-positive cocci were found.

Fig. 1
figure 1

Moribund Nile tilapia (Oreochromis niloticus) naturally infected with Streptococcus agalactiae showing A: dark coloration with severe hemorrhages throughout the body (red arrow) with a large area of scale loss (red arrow-head), hemorrhages at the base of the fins, frayed fins (black arrow) and B: hemorrhagic vent (blue arrow)

The isolated bacterial colonies emerged as tiny white opaque polymorphic smooth-edged spherical colonies with an elevated center on BHIA, TSA, and SSA plates (Fig. 2). These colonies’ density increased over time, with an average diameter of 0.7 ± 0.02 mm and 0.9 ± 0.2 mm after an incubation period of 24 and 48 h, respectively, at 28 °C on BHIA (Fig. 2A). However, after being incubated at 28 °C for 24 and 48 h, respectively, the colony seemed smaller and slower-growing on TSA, with an average colony diameter of 0.2 ± 0.08 mm and 0.7 ± 0.1 mm. Following 24 and 48 h of incubation at 28 °C, smaller and lighter-colored colonies with an average diameter of 0.1 ± 0.02 mm and 0.2 ± 0.04 mm, respectively, formed on SSA (Fig. 2C). The phenotypic and biochemical characteristics are listed in Table 1.

Fig. 2
figure 2

Colony morphology of Streptococcus agalactiae isolated from Nile tilapia (Oreochromis niloticus) on three different media: brain heart infusion agar (A), trypticase soy agar (B), and streptococcal selective agar (C). Plates were incubated at 28 °C for 24 hours

In sterile fresh water, S. agalactiae (MW599202) may survive for long periods (80, 160, 160) days post-inoculation (DPI) and be incubated at 35 °C, 28 °C, and 15 °C, respectively (Fig. 3). For the incubating temperature of 35 °C, the viable bacterial count decreased: the first log10 (5.7) was after 16 DPI, with a 14.6% reduction; the second log10 (4.9) reduction was after 27 DPI, with a 26% reduction; the third log10 (3.6) reduction was at 40 DPI, with a 46.3% reduction; the fourth log10 (3.0) reduction was at 47 DPI, with a 55.2% reduction; the fifth log10 (1.9) reduction was at 58 DPI, with a 71.7% reduction; and the sixth log10 (1.0) reduction was at 79 DPI, with a 85.1% reduction. The bacteria completely vanished from the inoculated sterile fresh water at 80 DPI and incubated in a static condition at 35 °C with a 100% reduction in the viable bacterial count (Fig. 3A). The size of the recovered bacterial colony was much smaller than that of the bacteria cultivated at 28 °C or 15 °C. The first log10 reduction (5.7) was at 36 DPI with a percent reduction of 14.5 for the bacteria incubated at 28 °C; the second log10 reduction (4.7) was at 52 DPI with a percent reduction of 29.2; and the third log10 reduction (3.7) was at 149 DPI with a percent reduction of 44.6; that continued to be 3.3 log10 reduction at 160 DPI with a 52.1% reduction (Fig. 3B). However, the first log10 drop in the total viable bacterial counts has not been detected up to 160 DPI (6.2 log10), and incubation in a static setting at 15 °C has only a reduction percent of 6.4 (Fig. 3C).

Fig. 3
figure 3

Survivability of Streptococcus agalactiae (MW599202) in sterile fresh water at different incubating temperatures, where (A) incubated at 35 °C, (B) incubated at 28 °C) incubated at 15 °C. Viable bacteria were detected using trypticase soy agar

Phylogenetic analysis

Following the sequencing of the 16S rRNA region (Fig. 4), BLAST analysis using the sequence from the current investigation revealed 100% identity with 100% coverage with the S. agalactiae isolate HQ658087 isolated from Ya-fish (Schizothorax prenanti) in China; It also showed 100% identity with 99% coverage with S. agalactiae isolates MZ955884, a human pathogen in Poland, NR 040821, the type strain (ATCC 13813 strain JCM 5671) isolated from milk in the USA, KM209200 isolated from Tilapia in Indonesia, KM209201 isolated from Tilapia in Indonesia, OP290419 isolated from Tilapia in Vietnam, and OL636133, a medical isolate. The present study partial 16S rRNA sequence was deposited in the GenBank on the NCBI under accession number MW599202.

Fig. 4
figure 4

Molecular identification of Streptococcus agalactiae isolates from naturally infected Nile tilapia (Oreochromis niloticus) based on the amplification of the 16S rRNA gene using agarose gel electrophoresis (1.5%). M: 100-bp DNA ladder. 1–6 tested samples

Maximum likelihood analysis, using the Mega-X program, showed a close relationship between this research isolate (MW599202) and other S. agalactiae strains, suggesting they descended from a monophyletic clade (Fig. 5). Additionally, all the current investigation isolates were confirmed to be S. agalactiae using the S. agalactiae-specific primer that amplifies 220 bp of the 16S-rRNA region (Fig. 6). Furthermore, the 16S-rRNA p-distances between S. agalactiae strains (n = 8; including the current isolate) and other Streptococcaceae included in this investigation were significantly higher (0.020–0.141; Table 2).

Fig. 5
figure 5

The phylogenetic tree depicts the relationship between Streptococcus agalactiae (MW599202 in red) isolated from naturally infected Nile tilapia (Oreochromis niloticus) and other Streptococcus sp. strains based on 16S rRNA gene sequences. The tree was rooted to Lactococcus garvieae MF108375 as the outgroup (in blue). The tree was created by utilizing the maximum likelihood model. The bootstrap values (given as a percentage of 1000 replicates) are displayed at each branch nod (bar = 0.01 substitutions per nucleotide)

Fig. 6
figure 6

Molecular identification of Streptococcus agalactiae from naturally infected Nile tilapia (Oreochromis niloticus) to the species level, based on the amplification of the 220 bp region of 16S rRNA gene using agarose gel electrophoresis (1.5%). M: 100 bp DNA ladder. Lane 2 S. agalactiae sequenced in this investigation (MW599202), and S1-S8 are tested isolates

Table 2 Intraspecific and interspecific divergence distance among 16 S rRNA gene sequences of Streptococcacea and the current study isolate; Streptococcus agalactiae MW599202 that was isolated from mass mortalities of cultured Nile tilapia (Oreochromis niloticus)

Fingerprinting and genetic relatedness among representative isolates

The RAPD analysis of the six different primers (P1 to P6) showed that all of the tested isolates had essentially the same banding pattern with no evident polymorphism (Fig. 7).

Fig. 7
figure 7

Random amplified polymorphic DNA (RAPD) PCR analysis of Streptococcus agalactiae isolates derived from naturally infected Nile tilapia (Oreochromis niloticus) mass mortalities. Primers 1, 2, 3, 4, 5, and 6 are denoted by the letters a, b, c, d, e, and f. M, Molecular marker (100 bp). 1–4 are the tested S. agalactiae isolates

Challenge test

The findings of the pathogenicity test revealed that S. agalactiae in O. niloticus had remarkable virulence, and the administration method and dosage had an impact on the survival rate (Fig. 8). The mortalities started in all of the infected groups on the second day post-infection (dpi). When S. agalactiae was IP injected at a high dose (4.6 × 107 CFU/fish), rapid onset of significant mortalities occurred, resulting in a 26.67% survival rate within 4 dpi. However, a protracted survival rate with a greater survival percentage was seen with IP injection of a low dose (4.6 × 105 CFU/fish), resulting in a survival rate of 53.3% after 5 dpi. The waterborne infection approach, on the other hand, was more virulent and had poorer survival rates across all doses applied. A considerably low survival rate of 20% was attained at 5 dpi with a high immersion dose of 9.2 × 107 CFU/ml. The curve was prolonged to the seventh dpi when 9.2 × 106 CFU/ml was utilized, and a significant survival rate (26.67%) was attained. With a low immersion dose (9.2 × 105 CFU/ml), the survival rate was 46.67%. There were no recorded mortalities in the control groups. Clinical signs included upside-down swimming, lethargy, appetite loss, dark skin pigmentation with hemorrhages and ulceration, frayed fins, and intra- and peri-orbital hemorrhages in all groups of experimentally infected O. niloticus. Internally, serosanguinous abdominal fluid, splenomegaly, and liver and brain hemorrhages were observed (Fig. 9).

Fig. 8
figure 8

Streptococcus agalactiae (MW599202) pathogenicity to Nile tilapia (Oreochromis niloticus) after 0.05 ml of phosphate-buffered saline (PBS) containing 4.6 × 107, 4.6 × 106, and 4.6 × 105 CFU was injected intraperitoneally, or after 1 h of immersion in tank water containing 9.2 × 107, 9.2 × 106, 9.2 × 105 CFU/ml. Control groups either received an IP injected of 0.05 ml of sterile PBS (sham control), or they were left untreated as an absolute control. The survival rates were analyzed using GraphPad Prism 8 (version 8.4.3 (686) June 2020)’s simple linear regression

Fig. 9
figure 9

Nile tilapia (Oreochromis niloticus) intraperitoneally injected with 0.05 ml of phosphate-buffered saline (PBS) containing 4.6 × 106 CFU of Streptococcus agalactiae (MW599202), showing A: ocular bleeding (red arrow); severe skin ulcer (yellow arrow-head); frayed dorsal and caudal fin (black arrow) with general petichae throughout the body, and B: hemorrhagic vent (blue arrow)

Biofilm detection and quantification

The crystal violet technique, used in the current experiment for biofilm identification and quantification, revealed that all of the tested isolates (n = 7) developed biofilm after 48 h of incubation at 28 °C. The majority of the isolates (6 out of 7) were moderate biofilm producers with OD values up to four times higher than the negative control. Only one isolate was identified as a strong biofilm producer with an OD value greater than four times that of the negative control (Fig. 10).

Fig. 10
figure 10

Biofilm formation assay of Streptococcus agalactiae (n = 7) isolated from Nile tilapia Oreochromis niloticus mass mortalities using the crystal violet method. Using one-way ANOVA (Kruskal-Wallis test), different letters showed a significant difference. The gray column denotes a robust biofilm-producing strain of S. agalactiae, while the white columns show bacterial isolates that are moderate biofilm-producers

Antimicrobial activity of medicinal plants

Among the nine different medicinal plants’ ethanolic leaf extracts, all of them were thought to have varying degrees of antibacterial activity against the isolated S. agalactiae (MW599202) (Table 3). The most potent antibacterial activity was seen in ethanol leaf extracts of L. camara, which also had the lowest MBC (0.24 mg/ml) and MIC (0.12 mg/ml) values. Following closely was A. caffra, with MBC and MIC values of 0.485 mg/ml and 0.24 mg/ml, respectively. With MBC and MIC values of 1.95 and 0.976 mg/ml, respectively, the antibacterial activity of the ethanolic leaf extracts from S. terebinthifolius and M. communis was equal. Ruta graveolens followed with MBC and MIC values of 3.9 and 1.95 mg/ml, respectively. The ethanolic leaf extracts of D. viscosa and F. nitida had moderate antibacterial activity, with MBC values of 15.625 and 62.5 mg/ml and MIC values of 7.8 and 31.25 mg/ml, respectively. However, the ethanolic leaf extracts of both A. indica and O. europaea only mildly inhibited the tested strain, with MBC and MIC values of 125 and 62.5 mg /ml, respectively.

Table 3 Minimum bactericidal concentration (MBC), and minimum inhibitory concentration (MIC) of the tested ethanolic leaf extracts of nine medicinal plant against Streptococcus agalactiae (MW599202) isolated from cultured Nile tilapia (Oreochromis niloticus) mass mortalities

Antibacterial effect of zinc oxide nanoparticles

In this study, the antibacterial activity of ZnO NPs was assessed using the viable cell counts of S. agalactiae. After a 72-hour incubation period, 42.5 mg/well of ZnO NPs eliminated the viable bacterial count representing the MBC, where the bacterial count reduced from 6.2 log10 (the starting point) to reach zero CFU/ml at the end of the incubation period, compared to 8.8 log10 in the control group. However, after 72 h of incubation with 21.25 mg/well of ZnO NPs, the MIC resulted in a 99.9% reduction in the initial viable bacterial count, dropping from 6.2 to 5.1 log10 CFU/ml in the treated group (Fig. 11).

Discussion

Streptococcus agalactiae has emerged as the predominant species of streptococci linked to fish disease, notably in cultured tilapia and even in broodstock as asymptomatic subclinical carriers [41]. It has caused considerable mortalities throughout the world, including in Brazil [11], China [15], Indonesia [14], Thailand [42, 43], Taiwan [44], Malaysia [1], Saudi Arabia [8], and Egypt [9]. Although the disease has been recorded in Egypt, its presence in the southern region remains unclear.

Fig. 11
figure 11

Antibacterial properties of zinc oxide nanoparticles (ZnO NPs) against a tested strain of Streptococcus agalactiae (MW599202). Using two-way ANOVA, different letters at the same time point indicate significant differences between tested groups (P < 0.001)

In the current study, S. agalactiae huge mortalities were reported in late summer in Assiut city, which is situated in southern Egypt at a latitude of 27°11′00″ North and 31°10′00″ East, known for its extremely hot summers. Global warming-related high water temperatures, intense husbandry, and high stocking densities appear to be risk factors for S. agalactiae outbreaks [11]. Streptococcus agalactiae’s virulence factors, such as an increase in the thickness of the capsular polysaccharide and its hemolytic activity, were significantly induced, and the number of bacterial loads in fish organs dramatically increased when O. niloticus was challenged by IP injection of S. agalactiae and kept at a high water temperature of 35ºC, resulting in a high mortality rate [45]. Similar findings were reported by MNA Amal, MZ Saad, AS Zahrah and AR Zulkafli [1] who discovered that poor water quality can affect a fish’s susceptibility to S. agalactiae infection in cage-cultured red hybrid tilapia, O. niloticus× O. mossambicus. Additionally, AH Al-Harbi [8] found that during the summer, when water temperatures rose above 28 °C in combination with high fish stocking densities and poor water quality, there were mortality rates of 40–80% in cultured hybrid tilapia O. niloticus× O. aureus.

In the current investigation, we were able to isolate S. agalactiae from anterior kidney tissue and brain samples. Due to the anterior kidney`s abundance of blood and capillaries, the bacterial load of S. agalactiae using qPCR analysis was substantially higher in this organ than in the other organ, indicating that S. agalactiae is mostly found in tilapia blood [16]. Furthermore, S. agalactiae can continue to survive and proliferate after being phagocytosed by macrophages, indicating that macrophages may act as “Trojan horses” or pathogen carriers to evade the immune system, break the blood-brain barrier, and enter the brain causing meningitis [16]. Moreover, the selection of the brain was based on S. agalactiae`s neurotropism, which allows the pathogen to host this relatively unprivileged immune site [41]. Additionally, several experimental studies on S. agalactiae’s pathogenicity in O. niloticus have revealed that the main target organs should be the brain and kidney tissues [12].

The current study isolates were identified using phenotypic and biochemical testing, and their identity as S. agalactiae was further validated using DNA sequencing, 16S rRNA gene BLAST analysis, as well as 16S rRNA region amplification using S. agalactiae-specific primers. These phenotypic traits substantially resembled those that had previously been isolated from cultured O. niloticus [8, 15]. However, S. agalactiae isolates (n = 13) from 29 O. niloticus farms in Brazil were found to have considerable variation in their biochemical profiles [11]. Interestingly, in the current study, isolates were unable to grow at 6.5% NaCl. The same findings were reported by AH Al-Harbi [8] and K Wang, D Chen, L Huang, H Lian, J Wang, D Xiao, Y Geng, Z-x Yang and W-m Lai [15]. In contrast, the Indonesian strain of S. agalactiae that was isolated from cultured O. niloticus was able to thrive at a NaCl concentration of 6.5% [14]. Surprisingly, the current investigation’s S. agalactiae isolate (MW59202) was successfully re-isolated from sterile freshwater inoculated with the pathogen for up to 80, 160, and 160 days post-inoculation and incubation in static conditions at 35, 28, and 15ºC, respectively. This occurred without the presence of its host or any nutritive material. This could be because of robust biofilms` ability to create efficient mechanisms for their environmental persistence, as demonstrated by the current study and the research by TI Heckman and E Soto [46] and AI Isiaku, MY Sabri, MY Ina-Salwany, MD Hassan, PN Tanko and MB Bello [47]. When identical tubes were incubated at the same temperature (28ºC) but with light agitation, no noticeable changes were found (data not shown). Additionally, at an incubation temperature of 15 °C, the greatest colony size was observed. The fact that the size of the recovered colonies at 35 °C was noticeably less than that of colonies incubated at 28 °C indicates that this temperature (35 °C) is a hostile environment for the inoculated pathogens. In the same way, S. agalactiae could be successfully isolated from all water samples tested at the Broadstock O. niloticus indoor culture facility with water temperatures below 27 °C that favored pathogen replication [41].

Among several methods that aid in bacterial identification and profiling, including single-strand conformation polymorphism (SSCP), high-resolution melt analysis (HRMA), repetitive element palindromic PCR (REP), restriction fragment length polymorphism (RFLP), terminal restriction fragment length polymorphism (T-RFLP), amplified fragment length polymorphism (AFLP), denaturing gradient gel electrophoresis (DGGE), pulsed-field gel electrophoresis (PFGE), DNA microarray, propidium mono-azide PCR (PMA), RAPD [48], and the most recent Whole Genome Sequencing (WGS) Analysis, are still in use. However, RAPD analysis is still utilized as a simple and reliable method for showing the genetic diversity among the tested samples [49]. RAPD molecular analysis is considered one of the top techniques [48]. It is a quick and accurate technique that possesses adequate discriminatory power for establishing the genetic similarity of S. agalactiae isolates derived from various fish samples to trace the potential infection source. The RAPD approach is more popular in profiling research than restriction fragment length polymorphism (RFLP) due to its ease of use, affordability, lack of technical labor requirements, speed, and the required amount of DNA. However, there are negligible differences between the two when considering the level of polymorphism, the accuracy of genetic distance estimates, and the test’s statistical power [50]. The disadvantage is the low fingerprint reproducibility, which necessitates stringent PCR condition standardization. Variations in primer ratios, annealing temperatures, and DNA polymerase concentrations can all result in variations in the final results [51]. The limitation of using RAPD is the poor reproducibility of fingerprints, as it requires strict standardization of reaction parameters [48]. In the current investigation, S. agalactiae isolated from moribund O. niloticus were collected and studied using RAPD analysis. Despite using six distinct primers, each with a different G + C content, all of the S. agalactiae isolates (n = 4) examined displayed the same RAPD patterns, indicating their shared origin. This could be because the host and the location being the same. The S. agalactiae strains acquired from golden pompano (Trachinotus blochii) differed genetically, based on RAPD genetic analysis, from those isolated from Oreochromis sp. in Malaysia, according to MN Amal, M Zamri-Saad, A Siti-Zahrah, AR Zulkafli and M Nur-Nazifah [52] classification of 181 S. agalactiae strains into 13 groups based on the origin of their geographical location. Furthermore, S. agalactiae isolates from sewage water and moribund Mullet (Liza kluningeri) mass mortalities in Kuwait Bay were clustered together, suggesting a common origin [53].

Challenge tests are an essential tool for diagnosing diseases in fish caused by microbial pathogens. These tests involve exposing fish to a known quantity of the suspected pathogen in a controlled environment to observe their response, determine the presence of the disease and assess the virulence of the pathogen under controlled conditions. This information can help understand the dynamics of disease outbreaks and design effective disease management strategies. In the pathogenicity experiment of the present study, isolate (MW599202) caused a high cumulative mortality rate of up to 80% with aberrant swimming behavior, a classical indicator of brain infection, and meningoencephalitis, a trait unique to S. agalactiae infection. In waterborne infection trials that mimic the natural infection strategy, the current study isolate was sufficiently virulent to generate high mortality rates of 80 and 73.3% within 5 and 7 dpi at high and moderate dosages, respectively. The primary routes of disease transmission in the culture system appeared to be indirect contact through contaminated water and direct contact between healthy fish and sick or dead fish in the natural environment [1, 11, 54]. Given that S. agalactiae has recently been found to be able to infect the CNS via the nose-to-brain pathway [55], this may be caused by S. agalactiae’s neurotropism. Furthermore, a high mortality rate (73.3%) was observed following IP injection of the tested isolate at a high dose (4.6 × 107/fish), which was not different from the high immersed dose (4.6 × 107 CFU/ml). This could be because of the capsular polysaccharide, allowing S. agalactiae to evade early phagocytosis and bacterial killing by the host immune response [45] as well as to multiply in fish blood, which in turn causes their survival, systemic proliferation [54], and disease occurrence with high mortality rates that were noticed in the current research. The pathogen could be isolated from the surviving survivors, indicating that they may have developed into subclinical carriers that could develop an overt infection-causing disease in response to unidentified stressors [18] or vertically transmit the pathogen to their offspring [41].

A biofilm is a community of bacteria that is embedded in an organic matrix and adheres to a surface. Adopting such a unique lifestyle has advantages such as protection from desiccation, nutritional concentration, escape from antibacterial medications, and host immune responses [22]. This might be due to the bacterial capsule, which is a key component of biofilm formation [56]. In the current investigation, it was discovered that all of the tested isolates (n = 7) generated biofilms to varying degrees. One isolate was a powerful biofilm generator, while six of the isolates produced moderate amounts of biofilm. This suggests that these isolates can colonize any submerged surfaces in the aquatic environment and can be a continual source of infection for other aquatic animals that are vulnerable to infection [57]. Additionally, S. agalactiae has been shown to form biofilms in the brain tissues and surrounding meningeal surfaces of tilapia, suggesting that biofilms may also be involved in the pathogenesis of this pathogen. These biofilms make bacteria more resilient to the immune systems of the host while facilitating their passage through the blood-brain barrier, possibly via a “Trojan horse” mechanism [47]. Additionally, the brain can remain infected long after the bacteria have been eliminated from other organs due to the humoral response’s importance in eradicating the bacteria and antibodies’ difficulty in crossing the blood-brain barrier [58]. This makes the fish both a carrier and a reservoir of infection.

The in vitro antibacterial activity of the tested plant extracts differed significantly against the tested strain of S. agalactiae, with L. camara and A. caffra being the most potent and promising results S. agalactiae is a Gram-positive bacterium with a cell wall structure consisting of a single-layer structure [59], suggesting that the antimicrobial activity of L. camara leaves may be attributed to the presence of cardiac glycosides, flavonoids, saponins, tannins, and terpenoids [60]. Furthermore, the essential oil content, phenols, flavonoids, xanthones, and lectin contained in S. terebinthifolius leaf extract may be responsible for its potent antibacterial activities [61, 62]. According to A Ghandour, M Abdel-Rahim, SAL Bayoumi, HM Sayed and O El-Badawy [39], D. viscosa leaf extract had antibacterial activity against the tested Gram-positive cocci.likely due to the presence of 5,6,8-trihydroxy-7,4-dimethoxyflavone in the extracted leaves [63]. In addition, phytochemical studies have attributed the following phytochemicals to the reported antibacterial limonoids such as mahmoodin and tetranortriterpenoids like azadirone, epoxyazadiradione, nimbin, gedunin, azadiradione, deacetylnimbin, 17-hydroxyazadiradione, and the protolimonoid, naheedin [64]. Fortunately, promising in vivo results have been reported using herbal plant extracts [65,66,67]. S Bhuvaneswari, J Sivakumar, CJ Lora, S Suriyakodi and S Venu [65] found that intramuscular injection of Mrigal (Cirrhinus cirrhosus) fingerlings with ethanolic leaf extract of L. camara followed by Aeromonas hydrophila challenge, yielded a promising antibacterial effect compared to untreated fish. Furthermore, immersion of S. terebinthifolius essential oil in water for 8 days was found to support memory formation through the inhibition of acetylcholinesterase activity and decreasing oxidative stress in scopolamine-treated zebrafish brains [67]. Additionally, feeding rabbitfish (Siganus fuscescens) with stem and leaf extract of Scutellaria baicalensis demonstrated a strong antibacterial effect. This inhibited the growth of pathogenic bacteria like Deltaproteobacteria and Fusobacteria, while also promoting the growth of probiotics such as Erysipelotrichia [66].

Nanoparticles are extensively utilized in various fields in our daily lives, including cosmetics, environmental catalysts, electronics, and biomedical and medical applications. This is due to their antibacterial, antifungal, anti-inflammatory, and wound-healing properties [68]. Furthermore, studies have shown that dietary nanoparticles can enhance growth indices, survival, and feed utilization in different fish species [69]. For instance, supplementation with ZnO-NPs has been found to improve the growth performance of zebrafish by regulating oxidative stress and the expression of growth-related genes [70]. In the present work, ZnO NPs demonstrated effective antibacterial activity against the examined S. agalactiae isolate (MW599202). This bactericidal action was found to be enhanced with increasing nanoparticle concentrations and/or exposure periods, as previously reported by I Ahmad, MY Alshahrani, S Wahab, AI Al-Harbi, N Nisar, Y Alraey, A Alqahtani, MA Mir, S Irfan and M Saeed [71]. For instance, exposure to 42.5 mg/well induced an inhibition of the viable cells that reached zero CFU/ml 72 h post-exposure. Additionally, 72 h after the exposure to 21.5 mg/well of ZnO NPs, caused a 99.9% reduction in the viable bacteria. This could be the consequence of the bacterial cells and ZnO NPs coming into close contact, which caused the cell wall to become disorganized and more permeable, ultimately rupturing the cell wall [72]. Furthermore, after 24, 48, and 72 h of incubation at 28ºC, the viable cell counts were considerably lower than the control with the highest three concentrations (42.5, 21.25, 10.63 mg/well). This might be the result of the liberation of H2O2, which is one of the likely mechanisms for ZnO NPs’ bactericidal action [73], as well as an increase in intracellular reactive oxygen species (ROS) production [74] which interacted with polyunsaturated fatty acids, a component of lipid bilayer, and produced malondialdehyde (MDA) and lipid peroxidation disrupting the integrity of the bacterial cell membrane [75, 76]. This results from the lipid peroxides forming reactive molecules that start oxidative stress and harm the bacterial cells [76]. In addition to lipid peroxidation, the production of ROS influences protein alteration, enzyme inhibition, bacterial cell macromolecule destruction, and damage to nucleic acid [77]. However, further investigation is still needed to examine the in vivo antibacterial effect of ZnO NPs against S. agalactiae infection in O. niloticus.

Conclusion

In conclusion, the current research was able to isolate S. agalactiae from mass mortalities of O. niloticus in a fish farm in Assiut, Egypt. Phylogenetic and RAPD analysis revealed that the isolates were similar and shared genetic traits with other S. agalactiae strains that had been isolated from various sources, including human samples, raw milk (type strain), different fish hosts and locations all over the world. Once fish are infected, they can disseminate the pathogen in the surrounding environment which could be isolated in the current research for approximately three months at an incubating temperature of 35 ºC. This indicates the pathogen´s ability to persist in fish environments and its capability to escape from unfavorable environmental conditions by forming biofilms, making it difficult to eliminate from an aquaculture facility using an intergenerational approach. In vitro studies were conducted to explore pathogen control using zinc oxide nanoparticles and ethanolic leaf extracts from medicinal plants, which showed promising results. However, further research is necessary to assess their safety and effectiveness in vivo.

Data availability

Data and materials are available upon reasonable request from the corresponding author. The datasets generated during the current study are available in GenBank under accession number MW599202.

References

  1. Amal MNA, Saad MZ, Zahrah AS, Zulkafli AR. Water quality influences the presence of Streptococcus agalactiae in cage cultured red hybrid tilapia, Oreochromis niloticus× Oreochromis mossambicus. Aquac Res. 2015;46(2):313–23.

    Article  CAS  Google Scholar 

  2. Mahmoud MM, Hassan ES, Nour Eldeen EA, Haridy M, Salem FAE-M, Mohamed MA. Bacterial infection in some Red Sea fishes. Assiut Veterinary Med J. 2017;63(155):86–93.

    Article  Google Scholar 

  3. Austin B, Austin DA. Bacterial fish pathogens: Disease of Farmed and Wild Fish. Volume 26, Fourth ed. Chichester, UK: Springer; 2007.

    Google Scholar 

  4. Hassan ES. Studies on streptococcosis in Nile tilapia, Oreochromis niloticus, in Assuit (Upper Egypt). Master. Assiut: Assuit University; 2002.

  5. Mishra A, Nam G-H, Gim J-A, Lee H-E, Jo A, Kim H-S. Current challenges of Streptococcus infection and effective Molecular, Cellular, and Environmental Control Methods in Aquaculture. Mol Cells. 2018;41(6):495–505.

    PubMed  PubMed Central  CAS  Google Scholar 

  6. Eldar A, Bejerano Y, Bercovier H. Streptococcus shiloi and Streptococcus difficile: two new streptococcal species causing a meningoencephalitis in fish. Curr Microbiol. 1994;28:139–43.

    Article  Google Scholar 

  7. Johri AK, Paoletti LC, Glaser P, Dua M, Sharma PK, Grandi G, Rappuoli R. Group B Streptococcus: global incidence and vaccine development. Nat Rev Microbiol. 2006;4(12):932–42.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  8. Al-Harbi AH. Phenotypic and genotypic characterization of Streptococcus agalactiae isolated from hybrid tilapia (Oreochromis niloticus × O. aureus). Aquaculture. 2016;464:515–20.

  9. Alazab A, Sadat A, Younis G. Prevalence, antimicrobial susceptibility, and genotyping of Streptococcus agalactiae in Tilapia fish (Oreochromis niloticus) in Egypt. J Adv Vet Anim Res. 2022;9(1):95–103.

    Article  PubMed  PubMed Central  Google Scholar 

  10. Evans JJ, Klesius PH, Pasnik DJ, Bohnsack JF. Human Streptococcus agalactiae isolate in Nile tilapia (Oreochromis niloticus). Emerg Infect Dis. 2009;15(5):774.

    Article  PubMed  PubMed Central  Google Scholar 

  11. Mian GF, Godoy DT, Leal CA, Yuhara TY, Costa GM, Figueiredo HC. Aspects of the natural history and virulence of S. agalactiae infection in Nile tilapia. Vet Microbiol. 2009;136(1–2):180–3.

    Article  PubMed  CAS  Google Scholar 

  12. Rodkhum C, Kayansamruaj P, Pirarat N. Effect of water temperature on susceptibility to Streptococcus agalactiae serotype Ia infection in Nile tilapia (Oreochromis niloticus). Thai J Veterinary Med. 2011;41(3):309–14.

    Article  Google Scholar 

  13. Shoemaker CA, Xu D-H, Soto E. Streptococcus iniae and Streptocococcus agalactiae. In: Fish vaccine and Bacteria: Pathobiology and Protection. edn. Edited by Woo pTK, Cipriano R: CABI; 2017: 298–313.

  14. Suhermanto A, Sukenda S, Zairin M Jr, Lusiastuti AM, Nuryati S. Characterization of Streptococcus agalactiae bacterium isolated from tilapia (Oreochromis niloticus) culture in Indonesia. Aquaculture Aquarium Conserv Legislation. 2019;12(3):756–66.

    Google Scholar 

  15. Wang K, Chen D, Huang L, Lian H, Wang J, Xiao D, Geng Y, Yang Z-x. Lai W-m: Isolation and characterization of Streptococcus agalactiae from Nile Tilapia Oreochromis niloticus in China. Afr J Microbiol Res. 2013;7(4):317–23.

    Article  CAS  Google Scholar 

  16. Cao J, Liu Z, Zhang D, Guo F, Gao F, Wang M, Yi M, Lu M. Distribution and localization of Streptococcus agalactiae in different tissues of artificially infected tilapia (Oreochromis niloticus). Aquaculture. 2022;546:737370.

    Article  CAS  Google Scholar 

  17. Laith AA, Ambak MA, Hassan M, Sheriff SM, Nadirah M, Draman AS, Wahab W, Ibrahim WN, Aznan AS, Jabar A, et al. Molecular identification and histopathological study of natural Streptococcus agalactiae infection in hybrid tilapia (Oreochromis niloticus). Vet World. 2017;10(1):101–11.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  18. Hassan ES, Mahmoud MM, Kawato Y, Nagai T, Kawaguchi O, Iida Y, Yuasa K, Nakai T. Subclinical Edwardsiella ictaluri infection of wild Ayu Plecoglossus altivelis. Fish Pathol. 2012;47(2):64–73.

    Article  Google Scholar 

  19. Amal M, Zamri-Saad M. Streptococcosis in tilapia (Oreochromis niloticus): a review. Pertanika Journal of Tropical Agricultural Science. 2011; 34: 195-206.

  20. Nguyen HT, Kanai K, Yoshikoshi K. Ecological investigation of Streptococcus iniae in cultured Japanese flounder (Paralichthys olivaceus) using selective isolation procedures. Aquaculture. 2002;205(1):7–17.

    Article  Google Scholar 

  21. Suanyuk N, Kong F, Ko D, Gilbert GL. Supamattaya k: Streptococcus agalactiae in cultured red tilapia Oreochromis sp. and Nile tilapia O. niloticus in Thailand-Relationship to human isolates. Aquaculture. 2008;284:35–40.

  22. Flemming H-C, Wingender J, Szewzyk U, Steinberg P, Rice SA, Kjelleberg S. Biofilms: an emergent form of bacterial life. Nat Rev Microbiol. 2016;14(9):563–75.

    Article  PubMed  CAS  Google Scholar 

  23. Cai W, Arias CR. Biofilm formation on aquaculture substrates by selected bacterial fish pathogens. J Aquat Anim Health. 2017;29(2):95–104.

    Article  PubMed  CAS  Google Scholar 

  24. Kildea MA, Allan GL, Kearney RE. Accumulation and clearance of the anaesthetics clove oil and AQUI-S™ from the edible tissue of silver perch (Bidyanus bidyanus). Aquaculture. 2004;232:265–77.

    Article  CAS  Google Scholar 

  25. Leal CAG, Silva BA, Colombo SA. Susceptibility Profile and Epidemiological Cut-Off values are influenced by serotype in Fish pathogenic Streptococcus agalactiae. Antibiotics. 2023;12(12):1726.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  26. Martin FP, Collen MC. Bias in template to product ratio in multitemplate PCR. Appl Environ Microbiol. 1998;64:3724–30.

    Article  Google Scholar 

  27. Martinez G, Harel J, Gottschalk M. Specific detection by PCR of Streptococcus agalactiae in milk. Can J Vet Res. 2001;65(1):68–72.

    PubMed  PubMed Central  CAS  Google Scholar 

  28. Tamura K, Nei M. Estimation of the number of nucleotide substitutions in the control region of mitochondrial DNA in humans and chimpanzees. Mol Biol Evol. 1993;10(3):512–26.

    PubMed  CAS  Google Scholar 

  29. Tamura K, Stecher G, Kumar S. MEGA 11: Molecular Evolutionary Genetics Analysis Version 11. Mol Biol Evol. 2021;38(7):3022–7.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  30. Tamura K, Nei M, Kumar S. Prospects for inferring very large phylogenies by using the neighbor-joining method. In: Proceedings of the National Academy of Sciences: 2004; USA; 2004: 11030–11035. Proc Natl Acad Sci USA. 2004;101:11030–5.

  31. Ellsaesser CF, Clem LW. Haematological and immunological changes in channel catfish stressed by handling and transport. J Fish Biololgy. 1986;28:511–21.

    Article  Google Scholar 

  32. Soto E, Zayas M, Tobar J, Illanes O, Yount S, Francis S, Dennis MM. Laboratory-controlled challenges of Nile Tilapia (Oreochromis niloticus) with Streptococcus agalactiae: comparisons between immersion, oral, intracoelomic and intramuscular routes of infection. J Comp Pathol. 2016;155(4):339–45.

    Article  PubMed  CAS  Google Scholar 

  33. Du Sert NP, Ahluwalia A, Alam S, Avey MT, Baker M, Browne WJ, Clark A, Cuthill IC, Dirnagl U, Emerson M, et al. Reporting animal research: explanation and elaboration for the ARRIVE guidelines 2.0. PLoS Biol. 2020;18(7):3000411.

    Article  Google Scholar 

  34. Na-Phatthalung P, Chusri S, Suanyuk N, Voravuthikunchai SP. In vitro and in vivo assessments of Rhodomyrtus tomentosa leaf extract as an alternative anti-streptococcal agent in Nile tilapia (Oreochromis niloticus L). J Med Microbiol. 2017;66(4):430–9.

    Article  PubMed  Google Scholar 

  35. Abdallah ESH, Mahmoud MM, Abdel-Rahim IR. Trichosporon jirovecii infection of red swamp crayfish (Procambarus clarkii). J Fish Dis. 2018;41:1719–32.

  36. Kim T-J, Young BM, Young GM. Effect of flagellar mutations on Yersinia enterocolitica Biofilm formation. Appl Environ Microbiol. 2008;74(17):5466–74.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  37. Stepanović S, Vuković D, Dakić I, Savić B, Švabić-Vlahović M. A modified microtiter-plate test for quantification of staphylococcal biofilm formation. J Microbiol Methods. 2000;40(2):175–9.

    Article  PubMed  Google Scholar 

  38. Soberón JR, Sgariglia MA, Sampietro DA, Quiroga EN, Vattuone MA. Antibacterial activity of plant extracts from northwestern Argentina. J Appl Microbiol. 2007;102(6):1450–61.

    Article  PubMed  Google Scholar 

  39. Ghandour A, Abdel-Rahim M, Bayoumi SAL, Sayed HM, El-Badawy O. Evaluation of antimicrobial and synergistic effects of some medicinal plant extracts on antimicrobial resistant organisms. Microbes Infect Dis. 2021;2(4):807–18.

    CAS  Google Scholar 

  40. Miles AA, Misra SS, Irwin JO. The estimation of the bactericidal power of the blood. J Hygiene. 1938;38(6):732–49.

    CAS  Google Scholar 

  41. Pradeep PJ, Suebsing R, Sirthammajak S, Kampeera J, Jitrakorn S, Saksmerprome V, Turner W, Palang I, Vanichviriyakit R, Senapin S. Evidence of vertical transmission and tissue tropism of streptococcosis from naturally infected red tilapia (Oreochromis spp). Aquaculture Rep. 2016;3:58–66.

    Article  Google Scholar 

  42. Jantrakajorn S, Maisak H, Wongtavatchai J. Comprehensive Investigation of Streptococcosis outbreaks in cultured Nile Tilapia, Oreochromis niloticus, and Red Tilapia, Oreochromis sp., of Thailand. J World Aquaculture Soc. 2014;45(4):392–402.

    Article  CAS  Google Scholar 

  43. Suanyuk N, Kong F, Ko D, Gilbert GL, Supamattaya K. Occurrence of rare genotypes of Streptococcus agalactiae in cultured red tilapia Oreochromis sp. and Nile tilapia O. Niloticus in Thailand—Relationship to human isolates? Aquaculture. 2008;284(1):35–40.

    Article  CAS  Google Scholar 

  44. Sudpraseart C, Wang P-C, Chen S-C. Phenotype, genotype and pathogenicity of Streptococcus agalactiae isolated from cultured tilapia (Oreochromis spp.) in Taiwan. J Fish Dis. 2021;44(6):747–56.

    Article  PubMed  CAS  Google Scholar 

  45. Kayansamruaj P, Pirarat N, Hirono I, Rodkhum C. Increasing of temperature induces pathogenicity of Streptococcus agalactiae and the up-regulation of inflammatory related genes in infected Nile tilapia (Oreochromis niloticus). Vet Microbiol. 2014;172(1–2):265–71.

    Article  PubMed  CAS  Google Scholar 

  46. Heckman TI, Soto E. Streptococcus iniae biofilm formation enhances environmental persistence and resistance to antimicrobials and disinfectants. Aquaculture. 2021;540:736739.

    Article  CAS  Google Scholar 

  47. Isiaku AI, Sabri MY, Ina-Salwany MY, Hassan MD, Tanko PN, Bello MB. Biofilm is associated with chronic streptococcal meningoencephalitis in fish. Microb Pathog. 2017;102:59–68.

    Article  PubMed  CAS  Google Scholar 

  48. Tabit FT. Advantages and limitations of potential methods for the analysis of bacteria in milk: a review. J Food Sci Technol. 2016;53(1):42–9.

    Article  PubMed  CAS  Google Scholar 

  49. Niklas A, Olszewska D. Application of the RAPD technique to identify genetic diversity in cultivated forms of Capsicum annuum L. BioTechnologia (Pozn). 2021;102(2):209–23.

    PubMed  Google Scholar 

  50. Galal FH. Comparison of RAPD and PCR-RFLP markers for classification and taxonomic studies of insects. Egypt Acad J Biol Sci Entomol. 2009;2(2):187–95.

    Google Scholar 

  51. Thangaraj M, Vishruth Prem VP, Ramesh T, Lipton A. RAPD fingerprinting and demonstration of genetic variation in three pathogens isolated from Mangrove environment. Asian Journal of Biotechnology 2011; 3(3): 269-274.

  52. Amal MN, Zamri-Saad M, Siti-Zahrah A, Zulkafli AR, Nur-Nazifah M. Molecular characterization of Streptococcus agalactiae strains isolated from fishes in Malaysia. J Appl Microbiol. 2013;115(1):20–9.

    Article  PubMed  CAS  Google Scholar 

  53. Jafar QA, Sameer AZ, Salwa AM, Samee AA, Ahmed AM, Al-Sharifi F. Molecular investigation of Streptococcus agalactiae isolates from environmental samples and fish specimens during a massive fish kill in Kuwait Bay. Pak J Biol Sci. 2008;11(21):2500–4.

    Article  PubMed  CAS  Google Scholar 

  54. Evans JJ, Klesius P, Gilbert P, Shoemaker C, Al Sarawi M, Landsberg J, Duremdez R, Al Marzouk A, Al Zenki S. Characterization of β-haemolytic Group B Streptococcus agalactiae in cultured seabream, Sparus auratus L., and wild mullet, Liza klunzingeri (Day), in Kuwait. J Fish Dis. 2002;25(9):505–13.

    Article  Google Scholar 

  55. Chacko A, Delbaz A, Choudhury IN, Eindorf T, Shah M, Godfrey C, Sullivan MJ, St John JA, Ulett GC, Ekberg JAK. Streptococcus agalactiae infects glial cells and invades the Central Nervous System via the olfactory and trigeminal nerves. Front Cell Infect Microbiol. 2022;12:793416.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  56. Xia FD, Mallet A, Caliot E, Gao C, Trieu-Cuot P, Dramsi S. Capsular polysaccharide of Group B Streptococcus mediates biofilm formation in the presence of human plasma. Microbes Infect. 2015;17(1):71–6.

    Article  PubMed  CAS  Google Scholar 

  57. Branda SS, Vik Å, Friedman L, Kolter R. Biofilms: the matrix revisited. Trends Microbiol. 2005;13:20–6.

    Article  PubMed  CAS  Google Scholar 

  58. Stanimirovic D, Kemmerich K, Haqqani AS, Farrington GK. Chapter Ten - Engineering and Pharmacology of Blood–Brain Barrier-Permeable Bispecific Antibodies. In: Advances in Pharmacology. Volume 71, edn. Edited by Davis TP: Academic Press; 2014: 301–335.

  59. Turker H, Yıldırım AB, Karakas FP. Sensitivity of bacteria isolated from fish to some medicinal plants. Turk J Fish Aquat Sci. 2009;9:181–6.

    Article  Google Scholar 

  60. Udaya Prakash NK, Bhuvaneswari S, Sripriya N, Arulmozhi R, Kavitha K, Aravitha R, Bharathiraja, B: Studies on phytochemistry, antioxidant, antibacterial, larvicidal and pesticidal activities of aromatic plants from yelagiri hills. International Journal of Pharmacy and Pharmaceutical Sciences 2014; 6: 325-328

  61. Gomes FS, Procopio TF, Napoleao TH, Coelho L, Paiva PMG. Antimicrobial lectin from Schinus terebinthifolius leaf. J Appl Microbiol. 2013;114(3):672–9.

    Article  PubMed  CAS  Google Scholar 

  62. Gundidza M, Gweru N, Magwa ML, Mmbengwa V, Samie A. The chemical composition and biological activities of essential oil from the fresh leaves of Schinus terebinthifolius from Zimbabwe. Afr J Biotechnol. 2009;8:7164–9.

    CAS  Google Scholar 

  63. Ngabaza T, Johnson MM, Moeno S, Patel M. Identification of 5,6,8-Trihydroxy-7-methoxy-2-[4-methoxyphenyl)-4H-chromen-4-one with antimicrobial activity from Dodonaea viscosa var. angustifolia. South Afr J Bot. 2017;112:48–53.

    Article  CAS  Google Scholar 

  64. Atawodi SE, Atawodi JC. Azadirachta indica [neem): a plant of multiple biological and pharmacological activities. Phytochem Rev. 2009;8(3):601–20.

    Article  CAS  Google Scholar 

  65. Bhuvaneswari S, Sivakumar J, Lora CJ, Suriyakodi S, Venu S. Antibacterial activity of Lantana camara leaf extract against Aeromonas hydrophila on culture of Mrigal, Cirrhinus cirrhosus (Hamilton, 1822). Int J Novel Res Dev. 2022;7(11):a26–42.

    Google Scholar 

  66. Xia Y-T, Cheng EH-C, Wang H-Y, Zhang LH-L, Lin S-Y, Dong TT-X, Duan R, Qin Q-W, Wang W-X. Tsim KW-K: The extract from aerial part of Scutellaria baicalensis regulates gut microbiota in rabbit fish: Replacement of antibiotic fighting against pathogenic bacteria. Aquaculture. 2023;565:739140.

    Article  CAS  Google Scholar 

  67. Todirascu-Ciornea E, El-Nashar HAS, Mostafa NM, Eldahshan OA, Boiangiu RS, Dumitru G, Hritcu L, Singab ANB. Schinus terebinthifolius Essential Oil Attenuates Scopolamine-Induced Memory Deficits via Cholinergic Modulation and Antioxidant Properties in a Zebrafish Model. Evidence-Based Complement Altern Med. 2019;2019(1):5256781.

  68. Mandal AH, Ghosh S, Adhurjya D, Chatterjee P, Samajdar I, Mukherjee D, Dhara K, Saha NC, Piccione G, Multisanti CR, et al. Exploring the impact of zinc oxide nanoparticles on fish and fish-food organisms: a review. Aquaculture Rep. 2024;36:102038.

    Article  Google Scholar 

  69. Mabrouk MM, Ashour M, Labena A, Zaki MAA, Abdelhamid AF, Gewaily MS, Dawood MAO, Abualnaja KM, Ayoub HF. Nanoparticles of Arthrospira platensis improves growth, antioxidative and immunological responses of Nile tilapia (Oreochromis niloticus) and its resistance to Aeromonas hydrophila. Aquac Res. 2022;53(1):125–35.

    Article  CAS  Google Scholar 

  70. Fasil DM, Hamdi H, Al-Barty A, Zaid AA, Parashar S, Das B. Selenium and zinc oxide multinutrient supplementation enhanced growth performance in zebra fish by modulating oxidative stress and growth-related gene expression. Front Bioeng Biotechnol. 2021;9:721717.

    Article  PubMed  PubMed Central  Google Scholar 

  71. Ahmad I, Alshahrani MY, Wahab S, Al-Harbi AI, Nisar N, Alraey Y, Alqahtani A, Mir MA, Irfan S, Saeed M. Zinc oxide nanoparticle: an effective antibacterial agent against pathogenic bacterial isolates. J King Saud University-Science. 2022;34(5):102110.

    Article  Google Scholar 

  72. Brayner R, Ferrari-Iliou R, Brivois N, Djediat S, Benedetti MF, Fiévet F. Toxicological impact studies based on Escherichia coli bacteria in ultrafine ZnO nanoparticles colloidal medium. Nano Lett. 2006;6(4):866–70.

    Article  PubMed  CAS  Google Scholar 

  73. Yamamoto O, Komatsu M, Sawai J, Nakagawa ZE. Effect of lattice constant of zinc oxide on antibacterial characteristics. J Mater Science: Mater Med. 2004;15(8):847–51.

    CAS  Google Scholar 

  74. Liang SXT, Wong LS, Lim YM, Lee PF, Djearamane S. Effects of Zinc Oxide nanoparticles on Streptococcus pyogenes. S Afr J Chem Eng. 2020;34:63–71.

    Google Scholar 

  75. Tiwari V, Mishra N, Gadani K, Solanki P, Shah N, Tiwari M. Mechanism of anti-bacterial activity of zinc oxide nanoparticle against carbapenem-resistant Acinetobacter baumannii. Front Microbiol. 2018;9:1218.

    Article  PubMed  PubMed Central  Google Scholar 

  76. Kumar A, Pandey AK, Singh SS, Shanker R, Dhawan A. Engineered ZnO and TiO2 nanoparticles induce oxidative stress and DNA damage leading to reduced viability of Escherichia coli. Free Radic Biol Med. 2011;51(10):1872–81.

    Article  PubMed  CAS  Google Scholar 

  77. Beyth N, Houri-Haddad Y, Domb A, Khan W, Hazan R. Alternative antimicrobial approach: nano-antimicrobial materials. Evidence-based complementary and alternative medicine 2015, 2015: 246012.

Download references

Funding

This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

Open access funding provided by The Science, Technology & Innovation Funding Authority (STDF) in cooperation with The Egyptian Knowledge Bank (EKB).

Author information

Authors and Affiliations

Authors

Contributions

The study was conceptualised and designed by EA, MM, and MA. EA, MM, and WM carried out the formal analysis, methodology, and investigation. EA, MM, and SB conducted research on medicinal plant extracts and their antibacterial properties. The first manuscript draft was written by EA, MM and WM. All authors commented on early versions of the manuscript, read, modified and approved the final version.

Corresponding author

Correspondence to Ebtsam Sayed Hassan Abdallah.

Ethics declarations

Ethics approval and consent to participate

All methods used in this study were carried out following relevant guidelines and regulations. Ethical approval for this study was obtained from the University of Minia, Faculty of Veterinary Medicine, Department of Fish Diseases Ethics Committee for Animal Use, and Care (Number IRB-FVM-MU-2020-54, date 4.3.2020). The study was carried out in compliance with the ARRIVE guidelines.

Consent for publication

Not applicable.

Competing interests

The authors declare no competing interests.

Additional information

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Abdallah, E.S.H., Metwally, W.G.M., Bayoumi, S.A.H. et al. Isolation and characterization of Streptococcus agalactiae inducing mass mortalities in cultured Nile tilapia (Oreochromis niloticus) with trials for disease control using zinc oxide nanoparticles and ethanolic leaf extracts of some medicinal plants. BMC Vet Res 20, 468 (2024). https://doi.org/10.1186/s12917-024-04298-z

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12917-024-04298-z

Keywords