摘要
目的研究不同鼠李糖乳杆菌菌株对不同碳源的利用及生长特性。方法在600nm波长处测定12株鼠李糖乳杆菌在不同碳源条件下的吸光度,幵采用差异分析法和分类主成分分析法对其迚行分析。结果利用特定时间点的差异分析,在葡萄糖作为主要碳源时,各菌株之间的生长情况均没有显著差异(P>0.05)。12株菌在乳糖作为主要碳源时可以分为4个生长型,在蔗糖作为主要碳源时可以分为5个生长型。主成分分类法在葡萄糖作为主要碳源时,能将12株菌分为7个生长型,在乳糖作为主要碳源时可分为8个生长型,在蔗糖作为主要碳源时可分为10个类型。结论不同鼠李糖乳杆菌菌株对不同碳源的利用存在差异,表明菌株在碳源利用上具有菌株特异性,同时不同菌株利用碳源的特异性会受到碳源种类的影响。
Objective To study the utilization of different carbon sources and growth characteristics of different Lactobacillus rhamnosus strains.Methods The absorbance of 12 strains under different carbon sources was measured at a wavelength of 600 nm,and analyzed by difference analysis and principal component analysis(PCA)classification.Results Using the difference analysis at specific time,there was no significant difference in growth between the strains with the main carbon source of glucose(P>0.05).Totally 12 strains could be divided into 4 growth types with the main carbon source of lactose,5 growth types with the main carbon source of sucrose.Using the PCA classification,12 strains could be divided into 7 growth types with the main carbon source of glucose,8 growth types with the main carbon source of lactose and 10 growth types with the main carbon source of sucrose.Conclusion Different L.rhamnosus strains utilize different carbon sources differently,indicating that the strains have strain specificity in carbon sources utilization,and the specificity of different strains using carbon sources can be affected by the types of carbon sources.
作者
张玉律
张臣臣
陈大卫
黄玉军
黄莹萍
席文博
王春雷
顾瑞霞
ZHANG Yu-Lv;ZHANG Chen-Chen;CHEN Da-Wei;HUANG Yu-Jun;HUANG Ying-Ping;XI Wen-Bo;WANG Chun-Lei;GU Rui-Xia(Jiangsu Key Laboratory of Dairy Biological Technology and Safety Control,Yangzhou University,Yangzhou 225009,China;President Enterprises Food Company,Kunshan 215300,China)
出处
《食品安全质量检测学报》
CAS
2019年第8期2304-2310,共7页
Journal of Food Safety and Quality
基金
国家自然科学基金项目(31571855)
国家自然科学基金青年基金项目(31701627
31801565)~~
关键词
鼠李糖乳杆菌
生长特性
不同碳源
差异分析
主成分分析
Lactobacillus rhamnosus
growth characteristics
different carbon sources
difference analysis
principal component analysis