Method for determining key temperature for growth and development of bacterial strain capable of producing coronatine
A technology of growth and development and key temperature, applied in the biological field, can solve the problems of unrealistic parameters and failure to consider the significance of model parameters, etc., and achieve the effect of robust population temperature characteristics
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Embodiment 1
[0041] strain growth curve
[0042] Under a specific temperature control, a small amount of unicellular microorganisms (Pseudomonas syringae strain M4-13) were inoculated into a certain volume of liquid medium, cultured under suitable conditions, and the number of cells was determined by sampling regularly. Take the logarithm of the cell growth number as the ordinate and the culture time as the abscissa to draw a curve, that is, the growth curve of the strain. On this curve, four periods of growth and reproduction of the strain are shown: lag phase, logarithmic phase, stationary phase, and decay phase. Generally in the logarithmic phase (also known as the exponential phase), the individual strains grow extremely rapidly in a stable geometric progression, which can last for a stable period. During this period, the morphology, staining, and biological activity of bacteria are all typical, and they are sensitive to the effects of external environmental factors. It is the best pe...
Embodiment 2
[0059] This example illustrates the reliability of the critical temperature (growth initiation temperature, optimal growth and hyperthermic lethal critical temperature) of Pseudomonas syringae strain M4-13.
[0060] According to the method in Example 1, the parameters and optimum growth temperature values in the Briere temperature rate model in the following 10 cases were fitted respectively. details as follows:
[0061] In the order of 14.85, 17.85, 19.85, 21.85, 24.85, 29.85, 31.85, 34.85, 36.85, 39.85, remove one value and the corresponding coordinate point each time, and then fit T according to the above method opt , T 0 and T L The model fit value of , so that the sequence moves to the 10th value (39.85) to construct T opt , T 0 and T L 10 resampling samples of , then estimate T by the t distribution opt , T 0 and T L The points and confidence intervals of :
[0062] Feature description
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Embodiment 3
[0066] This example illustrates the reliability of the resampling process for diagnosing the critical temperatures of Pseudomonas syringae strain M4-13 (growth initiation temperature, optimal growth and hyperthermic lethal critical temperature).
[0067] In the process of fitting the parameters of the Briere temperature rate model and the optimal growth temperature value in the following 10 cases, their significance was investigated respectively. The 10 cases are as follows:
[0068] Take 14.85, 17.85, 19.85, 21.85, 24.85, 29.85, 31.85, 34.85, 36.85, 39.85 as the sequence, remove one value and the corresponding coordinate point each time, and then fit T according to the above method opt , T 0 and T L The model fit value of , so that the sequence moves to the 10th value (39.85) to construct T opt , T 0 and T L 10 resampling samples of , then fit T for each resampling sample 0 and T L The fitting parameters and the degree of fit of the other parameters were analyzed.
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