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基于不同温度、pH值和水分活度下的生长情况对来自相似基质的链格孢属和青霉属菌种进行特性描述。

Characterization of Alternaria and Penicillium species from similar substrata based on growth at different temperature, pH and water activity.

作者信息

Andersen Birgitte, Frisvad Jens C

机构信息

The Mycology Group, BioCentrum-DTU, Søltofts Plads, Technical University of Denmark, Kgs. Lyngby.

出版信息

Syst Appl Microbiol. 2002 Apr;25(1):162-72. doi: 10.1078/0723-2020-00092.

Abstract

Fifty-eight Alternaria isolates representing 10 species or species-groups and 66 Penicillium isolates representing 18 species were examined for their growth response to the combined effects of water activity, temperature and pH in an extended Central Composite Design. Growth responses were recorded as colony diameter after one and two weeks of growth and analysed using different multivariate statistical analyses. The isolates, when analysed by Principal Component Analysis, clustered according to their genus and to some degree to species or species groups and not according to substratum as excepted. Soft Independent Modelling of Class Analogy and Response Surface Analysis showed that growth responses or growth profiles may be used as classification tool. Partial Least Squares Regression showed that a combination of two different media based on Dichloran Rose bengal Yeast Extract Sucrose agar incubated at two different temperatures were enough to get genus segregation and to some extent species segregation. The results also showed that water activity, temperature and pH interact strongly in their effect on growth rates and that the squared products (optima) of water activity, temperature and pH for each isolate were important for modelling the data sufficiently.

摘要

在扩展的中心复合设计中,对代表10个种或种组的58株链格孢菌分离株和代表18个种的66株青霉菌分离株进行了研究,以考察它们对水分活度、温度和pH值综合作用的生长反应。生长反应记录为生长1周和2周后的菌落直径,并使用不同的多元统计分析方法进行分析。通过主成分分析对分离株进行分析时,它们根据属进行聚类,在一定程度上也根据种或种组聚类,而不像预期的那样根据基质聚类。类软独立建模和响应面分析表明,生长反应或生长曲线可作为分类工具。偏最小二乘回归表明,基于二氯苯玫瑰红酵母提取物蔗糖琼脂在两种不同温度下培养的两种不同培养基的组合足以实现属的分离,并在一定程度上实现种的分离。结果还表明,水分活度、温度和pH值对生长速率的影响存在强烈的相互作用,每个分离株的水分活度、温度和pH值的平方乘积(最适值)对于充分模拟数据很重要。

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