Chapter 6 Preparation of bacterial culture and formalin-killed vaccines

6.1 Principles of bacterial culture

The bacteria culture consists in growing the bacterial strain in a permissive culture medium (solid or liquid) containing all the nutrients on which the bacteria will feed on. The important variables and values to record for the culture of bacteria in for microbiology experiments are cell forming unts(CFU)/mL, time of inoculation, biomass(turbidity, light scattering by OD600 on a spectrophotometer), and the cell count(number/ml). Cell forming unts(CFU)/mL is a semi quantitative measure of the ability of a bacterial solution to create colonies. A bacterial colony on a petri dish/plate can only develop from a single viable bacteria, therefore it does not count the dead cells and the liquid phase of the bacterial solution from which the bacteria originates. In our project, our goal is to produce a solution containing antigenic particles from the bacteria. Our vaccine will contain whole killed bacteria that will be recognized by the fish immune system. The vaccine also contains bacterial debris and soluble bacterial antigenic bio molecules recognized by the fish immune system as well. Therefore the total amount of antigens in our inactivated vaccine is also the combination of live bacteria, dead bacteria, and bacterial debris/particles. As explained previously, cell forming unts(CFU)/mL is a count of concentration in live bacteria in the bacterial solution. It is possible to count the dead bacteria and approximate the number of total cells (dead and live) precisely by counting the cells using hemocytometer plate.

6.1.1 Generation of microbial growth-curves according to OD600 (λ=600 nm)

In order to understand how our two strains grow on our media, we need to generate microbial growth curves according to OD600 values for each strain. The growth curves are specific of the temperature, the composition of the culture medium and of the spectrophotometer. It is possible to normalize them when we use a new spectrophotometer if we have an older growth curve and the same culture medium and temperature.

Instrument calibration is necessary if you like to compare OD600 values between different photometers as measurements of turbidity vary greatly depending on the optical setup of each device. Arrangement of optical parts of the photometer influence light scattering in many ways, resulting in different readings even for two instruments of the same type. OD600 values should not be considered as absorbance because microbial cells scatter light depending on size and shape and usually do not absorb light. The resulting factor can be used to multiply OD600 values of one instrument and compare them with another. When using a photometer without an automated blanking function, we must measure the corresponding empty culture media at 600 nm and enter OD600 values (replicates 1 - 5) for buffer solution of instrument 1 and 2 in fields B4 - B8 and D4 - D8, respectively. Then, we measure grown cell culture at 600 nm and enter measured OD600 values (replicates 1 - 5) for instrument 1 and 2 in fields C4 - C8 and E4 - E8, respectively.If we are using a photometer with an automated blanking function, we blank the instruments with corresponding culture media first, then we measure grown cell culture at 600 nm. We nter OD600 values for instrument 1 and 2 in fields I4 - I8 and J4 - J8, respectively. We can use calculated instrument factor to compare measured OD600 values for cell culture growth between instrument 1 and 2 of future experiments, respectively.

For the formulation of the inactivated bacterial vaccines, the bacteria will be put in culture in a volume of around 300mL of tryptic soy broth (TSB) or in (TSA) for at least a day 24 h at 30◦C under agitation et oxygenation. The bacteria will develop and multiply at regular interval, 1 becomes 2 which divides to form 4 (2^2) then 2^3 2^4 2^5 2^6 and so on. The growth follow 3 general trends named phases. Start, logarithmic growth, stationary.

6.2 Bacterial strains

6.2.1 Aeromonas veronii

6.2.2 Streptoccocus agalactiae

6.3 Bacterial culture

6.3.1 Laboratory settings

Figure 6.1: Strain and Settings

6.3.2 Recovery of strains

Recovery of the two strains S.agalactiae and A.veronii using TSA/TSB for 24h The two bacterial isolates used in this research are from Thailand. They were previously isolated from a diseased Nile tilapia. The two isolates are conserved in frozen glycerol and therefore must be recovered on a rich medium such as tryptic soy agar (TSA) or tryptic soy broth (TSB) for 24 h at 30 ◦C

6.4 Standard A.veronii

Standard growth curve OD600 for Aeromonas veronii

Bacterial Standard curve OD600 for Aeromonas veronii

Figure 6.2: Bacterial Standard curve OD600 for Aeromonas veronii

Exponential Regression of OD600 Growth Curve for Aeromonas veronii

Figure 6.3: Bacterial Standard curve exponential regression of OD600 growth curve for Aeromonas veronii

Standard growth curve CFU/mL for Aeromonas veronii

Bacterial Standard curve CFU/mL for Aeromonas veronii

Figure 6.4: Bacterial Standard curve CFU/mL for Aeromonas veronii

Exponential Regression of CFU/mL Growth Curve for Aeromonas veronii

Figure 6.5: Bacterial Standard curve exponential regression of CFU/mL growth curve for Aeromonas veronii

Standard growth curve Cells/mL obtained by microscopic count for Aeromonas veronii

Bacterial Standard curve Cells/mL for Aeromonas veronii

Figure 6.6: Bacterial Standard curve Cells/mL for Aeromonas veronii

Exponential Regression of Cells/mL Growth Curve obtained by microscopic count for Aeromonas veronii

Figure 6.7: Bacterial Standard curve exponential regression of Cells/mL growth curve for Aeromonas veronii

Linear Regression of CFU/mL vs. OD600 for Aeromonas veronii

Linear Regression of CFU/mL vs. OD600    for Aeromonas veronii

Figure 6.8: Linear Regression of CFU/mL vs. OD600 for Aeromonas veronii

Figure 6.9: Bacterial Standard curve linear regression of CFU/mL vs. OD600 for Aeromonas veronii

Linear Regression of Cells/mL vs. OD600 for Aeromonas veronii

Linear Regression of Cells/mL vs. OD600  for Aeromonas veronii

Figure 6.10: Linear Regression of Cells/mL vs. OD600 for Aeromonas veronii

Figure 6.11: Bacterial Standard curve linear regression of Cells/mL vs. OD600 for Aeromonas veronii

Generation time by OD600 for Aeromonas veronii

Figure 6.12: Bacterial Standard curve generation time by OD600 for Aeromonas veronii

Generation time by CFU/mL for Aeromonas veronii

Figure 6.13: Bacterial Standard curve generation time by CFU/mL for Aeromonas veronii

Generation time by Cells/mL for Aeromonas veronii

Figure 6.14: Bacterial Standard curve generation time by Cells/mL for Aeromonas veronii

6.4.0.1 Data

Below is the data:

Figure 6.15: Data used for drawing the standard curve CFU/mL and OD600 for Aeromonas veronii

6.5 Standard S.agalactiae

Standard growth curve OD600 for Streptococcus agalactiae

Bacterial Standard curve OD600 for Streptococcus agalactiae

Figure 6.16: Bacterial Standard curve OD600 for Streptococcus agalactiae

Exponential Regression of OD600 Growth Curve for Streptococcus agalactiae

Figure 6.17: Bacterial Standard curve exponential regression of OD600 growth curve for Streptococcus agalactiae

Standard growth curve CFU/mL for Streptococcus agalactiae

Bacterial Standard curve CFU/mL for Streptococcus agalactiae

Figure 6.18: Bacterial Standard curve CFU/mL for Streptococcus agalactiae

Exponential Regression of CFU/mL Growth Curve Streptococcus agalactiae

Figure 6.19: Bacterial Standard curve exponential regression of CFU/mL growth curve for Streptococcus agalactiae

Standard growth curve Cells/mL obtained by microscopic count for Streptococcus agalactiae

Bacterial Standard curve Cells/mL for Streptococcus agalactiae

Figure 6.20: Bacterial Standard curve Cells/mL for Streptococcus agalactiae

Exponential Regression of Cells/mL Growth Curve obtained by microscopic count for Streptococcus agalactiae

Figure 6.21: Bacterial Standard curve exponential regression of Cells/mL growth curve for Streptococcus agalactiae

Linear Regression of CFU/mL vs. OD600 for Streptococcus agalactiae

Linear Regression of CFU/mL vs. OD600    for Streptococcus agalactiae

Figure 6.22: Linear Regression of CFU/mL vs. OD600 for Streptococcus agalactiae

Figure 6.23: Bacterial Standard curve linear regression of CFU/mL vs. OD600 for Streptococcus agalactiae

Linear Regression of Cells/mL vs. OD600 for Streptococcus agalactiae

Linear Regression of CFU/mL vs. OD600    for Streptococcus agalactiae

Figure 6.24: Linear Regression of CFU/mL vs. OD600 for Streptococcus agalactiae

Figure 6.25: Bacterial Standard curve linear regression of Cells/mL vs. OD600 for Streptococcus agalactiae

Generation time by OD600 for Streptococcus agalactiae

Figure 6.26: Bacterial Standard curve generation time by OD600 for Streptococcus agalactiae

Generation time by CFU/mL for Streptococcus agalactiae

Figure 6.27: Bacterial Standard curve generation time by CFU/mL for Streptococcus agalactiae

Generation time by Cells/mL for Streptococcus agalactiae

Figure 6.28: Bacterial Standard curve generation time by Cells/mL for Streptococcus agalactiae

6.5.0.1 Data

Below is the data:

Figure 6.29: Data used for drawing the standard curve CFU/mL and OD600 for Streptococcus agalactiae

6.5.1 Count viable and dead cells

Once the growth is achieved, the bacterial cells of S.agalactiae and A.veronii will be inactivated by adding formalin to a final concentration of 3%(v/v) and incubated overnight at 4 ◦C (the longer the better).

6.6 Production of vaccines

Production of inactivated vaccines

6.6.1 Production of vaccine Sa

6.6.2 Production of vaccine Av

6.6.3 Production of vaccine Sa + Av

6.6.4 Production of vaccine Control