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嗜盐古菌嗜盐栖热菌生长受温度和光照影响的建模

Modeling the Growth of Archaeon Halobacterium halobium Affected by Temperature and Light.

作者信息

Lu Hao, Yuan Wenqiao, Cheng Jay, Rose Robert B, Classen John J, Simmons Otto D

机构信息

Department of Biological and Agricultural Engineering, North Carolina State University, Raleigh, NC, 27695, USA.

Department of Molecular and Structural Biochemistry, North Carolina State University, Raleigh, NC, 27695, USA.

出版信息

Appl Biochem Biotechnol. 2017 Mar;181(3):1080-1095. doi: 10.1007/s12010-016-2270-x. Epub 2016 Oct 14.

Abstract

The objective of this study was to develop sigmoidal models, including three-parameter (Quadratic, Logistic, and Gompertz) and four-parameter models (Schnute and Richards) to simulate the growth of archaeon Halobacterium halobium affected by temperature and light. The models were statistically compared by using t test and F test. In the t test, confidence bounds for parameters were used to distinguish among models. For the F test, the lack of fit of the models was compared with the prediction error. The Gompertz model was 100 % accepted by the t test and 97 % accepted by the F test when the temperature effects were considered. Results also indicated that the Gompertz model was 94 % accepted by the F test when the growth of H. halobium was studied under varying light intensities. Thus, the Gompertz model was considered the best among the models studied to describe the growth of H. halobium affected by temperature or light. In addition, the biological growth parameters, including specific growth rate, lag time, and asymptote changes under Gompertz modeling, were evaluated.

摘要

本研究的目的是开发S形模型,包括三参数模型(二次模型、逻辑模型和冈珀茨模型)和四参数模型(施努特模型和理查兹模型),以模拟受温度和光照影响的嗜盐古菌嗜盐栖热菌的生长。通过t检验和F检验对这些模型进行统计学比较。在t检验中,使用参数的置信区间来区分不同模型。对于F检验,将模型的失拟度与预测误差进行比较。当考虑温度影响时(冈珀茨模型),t检验的接受率为100%,F检验的接受率为97%。结果还表明,当在不同光照强度下研究嗜盐栖热菌的生长时,冈珀茨模型在F检验中的接受率为94%。因此,在研究的模型中,冈珀茨模型被认为是描述受温度或光照影响的嗜盐栖热菌生长的最佳模型。此外,还评估了冈珀茨模型下的生物学生长参数,包括比生长速率、延迟期和渐近线变化。

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