Environmental Microbiology (EM) | Microbial Ecology and Diversity
Microbiol. Biotechnol. Lett. 2024; 52(2): 179-188
https://doi.org/10.48022/mbl.2402.02003
Yan Ramona1,2*, Ida Bagus Gede Darmayasa1, Ni Putu Widiantari3, Ni Nengah Bhawa Dwi Shanti1, Ni Luh Hani1, Pande Gde Sasmita Julyantoro4, Adnorita Fandah Oktariani5, and Kalidas Shetty6
1Department of Biology, Faculty of Mathematics and Natural Sciences, Universitas Udayana, Bukit Jimbaran Campus, Badung-Bali 80631, Indonesia
2Integrated Laboratory for Biosciences and Biotechnology, Universitas Udayana, Bukit Jimbaran, Badung-Bali 80631, Indonesia
3Universitas Bali International, Denpasar, Bali-Indonesia
4Faculty of Marine Science and Fisheries, Universitas Udayana, Bukit Jimbaran, Badung-Bali 80631
5Department of Biology, Faculty of Mathematics and Sciences, Universitas Negeri Padang, West Sumatra, Indonesia
6Global Institute of Food Security and International Agriculture, North Dakota State University, USA
Correspondence to :
Yan Ramona, yan_ramona@unud.ac.id
It has been widely documented that stress conditions in aquatic ecosystems could trigger the release of stress hormone (dopamine) in fishes. Such hormone could attract pathogens (such as Aeromonas hydrophila) to initiate its infection in fishes. The major focus of this study was to investigate the effect of the catecholamine derived stress hormone (dopamine) on the motility and hemolytic activity associated with the virulence of A. hydrophila ATCC AH-1N, the causative agent of Motile Aeromonas Septicemia (MAS). The density of bacterial cells used in this study was adjusted at 10
Keywords: Aeromonas hydrophila, aeromonas septicemia, aquaculture, dopamine, hemolysis
The productivity of aquaculture-related food production system could be influenced by many factors, such as the quality of fish seed culture, production efficiencies linked to labour, production systems, environmental conditions and more importantly pathogen infection [1]. Among these factors, the challenge of pathogens in aquaculture-related production is one of the most important factors causing fish death, leading to decreased production and economic value. An important pathogenic bacterium commonly found to infect in freshwater aquaculture production environments is
Development of such infections by opportunistic bacterial pathogens in aquaculture systems involves complex interactions among pathogen’s virulence, pathogen’s host, and stress factors of the pathogen’s hosts [2]. The motility and hemolysis activity of the pathogens are among many factors commonly used to measure the pathogen’s virulence [4]. Motility capability is an advantageous factor for the pathogens to rapidly approach their host prior to causing infection to their hosts. Once the pathogens reach their host, they will release proteindegrading enzymes and cause lesions on the body surfaces of their hosts followed by entering the circulation system of the hosts [5]. In the host’s circulatory system, such pathogens and
Under such environmental stress conditions in the aquatic environment, fishes tend to release high levels of stress hormones, such as norepinephrine and dopamine. These hormones will stimulate pathogens through increasing their motility capability, to approach and infect those stressed fishes, such as observations made in
In Indonesia, including Bali where this research was undertaken, MAS was first recorded in 1980, and killed 125 tons of catfish in the aquaculture system in West Java [10]. Similar incidence of fish mortality due to MAS was also reported by Nitimulyo
Based on the above rationale, the effect of the stress hormone catecholamine (particularly dopamine) on the
Pure culture isolate of
Stock solution of dopamine (5 mM) was prepared by diluting 76.59 mg of dopamine (a product of Sigma- Aldrich, Germany, with a molecular weight of 153.18 g/ mol) in distilled water, and the final volume was adjusted to 100 ml [9]. This stock hormone solution was filter sterilized and stored at 4℃ until required in the bioassays. In the assays, sterile stock hormone solution was added into soft Nutrient Agar medium (Oxoid) with 30% (v/v) fetal bovine serum (FBS) (Sigma-Aldrich- Germany), and the working concentrations were adjusted to 25 μM, 50 μM, 75 μM, and100 μM. The soft agar medium with 30% (v/v) FBS only (without the addition of dopamine) served as control.
This procedure adopted the method of Pande
Swimming motility tests of the
Hemolysis activity of the
The generation time (doubling time) of
Based on the
Quantitative data obtained in this experiment were analyzed using analysis of variance (ANOVA) with help of
The bacterial isolate used in this study was confirmed as
Table 1 . Some important characteristics of
Characteristics tested | Observation |
---|---|
Morphology of colony: | |
Colony morphology | round |
Edge | smooth |
Elevation | convex |
Diameter of colony (mm) | 2.0 |
Colour of the colony on Blood Agar (BA) medium | grey |
Colour of the colony on MacConkey Agar medium | pink |
Cellular morphology: | |
Shape | rod |
Gram stain | Gram-negative (-) |
Biochemical tests: | |
Oxidase | + |
Catalase | + |
Citrate Simon | + |
TSIA test | + |
Motility test | + |
Glucose fermentation | + |
Maltose fermentation | + |
Manitol test | + |
The swimming ability of
Table 2 . The effect of dopamine concentration in the soft medium on the diameter growth of
The concentration of dopamine (μM) | Diameter of growth (mm)* | |
---|---|---|
After 7 h of incubation | After 10 h of incubation | |
0 | 24.15 ± 1.21a | 32.07 ± 0.83a |
25 | 25.63 ± 1.01a,b | 34.83 ± 1.06b |
50 | 26.29 ± 0.85b | 35.80 ± 0.47b |
75 | 26.86 ± 0.78b | 38.51 ± 1.12c |
100 | 36.56 ± 0.88c | 51.91 ± 1.07d |
*Values in Table 2 ± standard deviation are averages of 5 replicate experiments with 4 different angles of measurement. Values in the same column followed by the same letter(s) are not statistically significant at
When compared to the control (medium without hormone addition), the addition of dopamine into the culture medium significantly increased (
Hemolysis activity of the
Table 3 . Diameter of hemolytic zones of
Dopamine concentrations (μM) | Diameter of the haemolytic zone (mm)* | |
---|---|---|
After 24 h incubation | After 48 h incubation | |
0 (control) | 6.96 ± 0.19a | 9.38 ± 0.16a |
25 | 8.29 ± 0.26b | 12.84 ± 0.64c,d |
50 | 9.44 ± 0.16c | 13.20 ± 0.39d |
75 | 7.64 ± 0.21b | 12.24 ± 0.26b,c |
100 | 7.26 ± 0.17a | 11.72 ± 0.40b |
*Values in Table 3 ± standard deviation are averages of 5 replicate experiments with 4 different angles of measurements. Values in the same column followed by the same letter(s) are not statistically significant at
When compared to control (medium without dopamine supplementation), all treatments produced significantly higher (
Supplementation of the working concentration of 100 μM dopamine into all media examined was found to decrease doubling time or increase the specific growth rate of the
Table 4 . Effect of dopamine supplementation on the doubling time of
Dopamine concentrations | Generation times of | |||
---|---|---|---|---|
LB | LB+30% FBS | SAPI medium | SAPI+30% BFS | |
0 μM (control) | 2.75 ± 0.20a | 1.80 ± 0.24a | 3.90 ± 0.47a | 3.46 ± 0.50a |
100 μM | 1.99 ± 0.14b | 1.52 ± 0.18b | 1.52 ± 0.18b | 2.65 ± 0.26b |
*Values in Table 4 ± standard deviation are averages of 5 replicate experiments. Values in the same column followed by different letter(s) are significantly different at
Table 5 . The effect of dopamine supplementation on the specific growth rate (μ) of the
Dopamine concentrations | Specific growth rate (μ) of | |||
---|---|---|---|---|
LB | LB+30% FBS | SAPI medium | SAPI+30% BFS | |
0 μM (control) | 0.25 ± 0.01a | 0.39 ± 0.05a | 0.17 ± 0.02a | 0.20 ± 0.02a |
100 μM | 0.34 ± 0.02b | 0.46 ± 0.06b | 0.23 ± 0.04b | 0.26 ± 0.03b |
**Values in Table 5 ± standard deviation are averages of 5 replicate experiments. Values in the same column followed by different letter(s) are significantly different at
Types of the medium used also affected the growth rate of the isolate. The addition of BFS at a working concentration of 30% increased the specific growth rate (reduced the doubling time) of the isolate both in the LB medium and SAPI medium, and these values are statistically significant (
Based on the data in Table 4, the values of the specific growth rates (μ) of the
The pathogenic level or virulence of this species is affected by many factors, in which the level of stress hormones in the body of its hosts has been reported as an important signal to infect its host [20, 21]. Dopamine, for example, has been reported by Pande
The response (increase in its virulence) of
In the last decade, the role of the catecholamine stress hormone such as dopamine has been well documented to affect the motility, growth, as well biofilm formation of pathogens. Verbrugghe
In addition to improved motility and growth rate, the virulence factor of aquatic bacterial pathogens (e.g.
Dopamine hormone increased the motility and in vitro hemolytic activities of
The authors acknowledge the head of Microbiology, Faculty of Fishery and Marine Science and head of Microbiology of Faculty of Medicine, Udayana University for the provision of
Conceptualization, Y.R., K.S., P.G.S.J., and I.B.G.D; methodology, K.S., P.G.S.J., and Y.R.; Software; Validation, K.S., P.G.S.J., I.B.G.D. and Y.R.; Formal analysis, K.S. and Y.R.; Investigation, A.F.O., N.P.W., N.N.B.D.S., and I.B.G.D.; Data curation, I.B.G.D., N.L.H. and AFO; Writing-original draft preparation, Y.R., and P.G.S.J.; Writing review and editing, Y.R. and K.S.; Visualization, N.P.W. A.F.O., and N.N.B.D.S.; Supervision, K.S., P.G.S.J., and Y.R.; Project administration, N.L.H., N.N.B.D.S, and A.F.O.; Funding acquisition, K.S. and Y.R. All authors have read and agreed to the published version of the manuscript.
The authors have no financial conflicts of interest to declare.
Abhishek Sengupta, Tushar Gupta, Aman Chakraborty, Sudeepti Kulshrestha, Ritu Redhu, Raya Bhattacharjya, Archana Tiwari, and Priyanka Narad
Microbiol. Biotechnol. Lett. 2024; 52(2): 141-151 https://doi.org/10.48022/mbl.2309.09011