Barclay C D, Legge R L, Farquhar G F
Department of Chemical Engineering, University of Waterloo, Ontario, Canada.
Appl Environ Microbiol. 1993 Jun;59(6):1887-92. doi: 10.1128/aem.59.6.1887-1892.1993.
The potential commercial application of Phanerochaete chrysosporium requires methods for quantitatively predicting growth and substrate utilization. The growth kinetics of P. chrysosporium INA-12 (CNCM I-398) were investigated and modelled under nonlimiting nitrogen and carbon conditions in submerged static culture. This strain, unlike other strains, does not require nutrient limitation for induction of lignin peroxidase. Maximum levels of lignin peroxidase activity were reached 7 days after culture initiation, when almost 80% of the initial glycerol and 70% of the initial nitrogen were still present. Lignin peroxidase levels then decreased, while biomass levels increased until about day 14. The ratio of cell dry weight to wet weight was constant until the maximum biomass concentration was achieved, after which there was a decrease in the water content. The change in this ratio reflects cell lysis as it correlated with increased concentrations of nitrogen in the media, arising from cell leakage. The suitability of four growth models to predict growth, and in some cases glycerol consumption, was evaluated. A simple linear model and the Emerson model performed poorly for the early stages of growth, while a modified Williams model and the Monod model predicted substrate and biomass concentrations equally well. All models will predict biomass concentrations during the active growth phase, but they should not be used to predict biomass concentrations after the stationary growth phase, when cell lysis becomes significant.
黄孢原毛平革菌的潜在商业应用需要定量预测其生长和底物利用的方法。在淹没式静态培养中,研究并模拟了黄孢原毛平革菌INA - 12(法国国家微生物保藏中心保藏号I - 398)在非限制性氮和碳条件下的生长动力学。与其他菌株不同,该菌株诱导木质素过氧化物酶不需要营养限制。培养开始7天后达到木质素过氧化物酶活性的最高水平,此时仍有近80%的初始甘油和70%的初始氮存在。之后木质素过氧化物酶水平下降,而生物量水平增加,直到大约第14天。在达到最大生物量浓度之前,细胞干重与湿重的比值保持恒定,之后水分含量下降。该比值的变化反映了细胞裂解,因为它与培养基中因细胞渗漏导致的氮浓度增加相关。评估了四种生长模型预测生长以及在某些情况下预测甘油消耗的适用性。一个简单的线性模型和艾默生模型在生长早期表现不佳,而一个改进的威廉姆斯模型和莫诺德模型预测底物和生物量浓度的效果同样良好。所有模型都能预测活跃生长阶段的生物量浓度,但当细胞裂解变得显著时,它们不应用于预测稳定生长阶段后的生物量浓度。