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发酵豆浆过程中益生菌干酪乳杆菌 Zhang 的转录组分析。

Transcriptome analysis of probiotic Lactobacillus casei Zhang during fermentation in soymilk.

机构信息

Key Laboratory of Dairy Biotechnology and Engineering, Ministry of Education, School of Food Science and Engineering, Inner Mongolia Agricultural University, 010018, Huhhot, China.

出版信息

J Ind Microbiol Biotechnol. 2012 Jan;39(1):191-206. doi: 10.1007/s10295-011-1015-7. Epub 2011 Jul 22.

DOI:10.1007/s10295-011-1015-7
PMID:21779970
Abstract

Lactobacillus casei Zhang is a widely recognized probiotic bacterium, which is being commercially used in China. To study the gene expression dynamics of L. casei Zhang during fermentation in soymilk, a whole genome microarray was used to screen for differentially expressed genes when grown to the lag phase, the late logarithmic phase, and the stationary phase. Comparisons of different transcripts next to each other revealed 162 and 63 significantly induced genes in the late logarithmic phase and stationary phase, of which the expression was at least threefold up-regulated and down-regulated, respectively. Approximately 38.4% of the up-regulated genes were associated with amino acid transport and metabolism notably for histidine and lysine biosynthesis, followed by genes/gene clusters involved in carbohydrate transport and metabolism, lipid transport and metabolism, and inorganic ion transport and metabolism. The analysis results suggest a complex stimulatory effect of soymilk-based ecosystem on the L. casei Zhang growth. On the other hand, it provides the very first insight into the molecular mechanism of L. casei strain for how it will adapt to the protein-rich environment.

摘要

干酪乳杆菌 Zhang 是一种被广泛认可的益生菌,在中国被商业化使用。为了研究干酪乳杆菌 Zhang 在豆浆发酵过程中的基因表达动态,使用全基因组微阵列筛选生长到迟滞期、对数晚期和静止期时差异表达的基因。比较相邻的不同转录本显示,在对数晚期和静止期分别有 162 个和 63 个显著诱导的基因,其表达水平分别上调至少 3 倍和下调。上调基因中约 38.4%与氨基酸转运和代谢有关,特别是组氨酸和赖氨酸的生物合成,其次是与碳水化合物转运和代谢、脂质转运和代谢以及无机离子转运和代谢相关的基因/基因簇。分析结果表明,豆浆基生态系统对干酪乳杆菌 Zhang 生长有复杂的刺激作用。另一方面,它首次揭示了干酪乳杆菌菌株适应富含蛋白质环境的分子机制。

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J Food Prot. 2010 Apr;73(4):715-9. doi: 10.4315/0362-028x-73.4.715.
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mSystems. 2020 Jan 28;5(1):e00853-19. doi: 10.1128/mSystems.00853-19.
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