Lactic acid bacteria are broadly employed as starter cultures in the manufacture of foods. Upon technological preparation, they are confronted with drying stress that amalgamates numerous stress conditions resulting in losses of fitness and survival. To better understand and differentiate physiological stress responses, discover general and specific markers for the investigated stress conditions, and predict optimal preconditioning for starter cultures, we performed a comprehensive genomic and quantitative proteomic analysis of a commonly used model system, Lactobacillus paracasei subsp. paracasei TMW 1.1434 (isogenic with F19) under 11 typical stress conditions, including among others oxidative, osmotic, pH, and pressure stress. We identified and quantified >1900 proteins in triplicate analyses, representing 65% of all genes encoded in the genome. The identified genes were thoroughly annotated in terms of subcellular localization prediction and biological functions, suggesting unbiased and comprehensive proteome coverage. In total, 427 proteins were significantly differentially expressed in at least one condition. Most notably, our analysis suggests that optimal preconditioning toward drying was predicted to be alkaline and high-pressure stress preconditioning. Taken together, we believe the presented strategy may serve as a prototypic example for the analysis and utility of employing quantitative-mass-spectrometry-based proteomics to study bacterial physiology.

中文翻译：

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定量蛋白质组学，用于副干酪乳杆菌亚种对应激反应的综合分析。副干酪F19

乳酸菌被广泛用作食品生产中的发酵剂。在进行技术准备后，他们面临着干燥压力，这些压力将许多压力条件融合在一起，从而导致身体健康和生存能力的丧失。为了更好地理解和区分生理应激反应，发现所研究应激条件的一般和特定标记，并预测用于发酵剂培养的最佳预处理，我们对常用的模型系统副干酪乳杆菌亚种进行了全面的基因组和定量蛋白质组学分析。副干酪在11种典型压力条件下的TMW 1.1434（与F19等基因），包括氧化，渗透，pH和压力应力。我们在一式三份的分析中鉴定并定量了> 1900种蛋白质，占基因组编码的所有基因的65％。鉴定的基因在亚细胞定位预测和生物学功能方面进行了充分注释，表明蛋白质组的覆盖范围无偏见。在至少一种条件下，总共有427种蛋白质显着差异表达。最值得注意的是，我们的分析表明，针对干燥的最佳预处理被预测为碱性和高压应力预处理。在一起