Gatti M, De Dea Lindner J, Gardini F, Mucchetti G, Bevacqua D, Fornasari M E, Neviani E
Dipartimento di Genetica, Biologia dei Microrganismi, Antropologia, Evoluzione, Università di Parma, Via G. B. Usberti, 11/A, 43100, Parma, Italy.
J Dairy Sci. 2008 Nov;91(11):4129-37. doi: 10.3168/jds.2008-1069.
The aim of this work was to investigate in which phases of ripening of Parmigiano Reggiano cheese lactic acid bacteria aminopeptidases present in cheese extract could be involved in release of free amino acids and to better understand the behavior of these enzymes in physical-chemical conditions that are far from their optimum. In particular, we evaluated 6 different substrates to reproduce broad-specificity aminopeptidase N, broad-specificity aminopeptidase C, glutamyl aminopeptidase A, peptidase with high specificity for leucine and alanine, proline iminopeptidase, and X-prolyl dipeptidyl aminopeptidase activities releasing different N-terminal amino acids. The effects of pH, NaCl concentration, and temperature on the enzyme activities of amino acid beta-naphthylamide (betaNA)-substrates were determined by modulating the variables in 19 different runs of an experimental design, which allowed the building of mathematical models able to assess the effect on aminopeptidases activities over a range of values, obtained with bibliographic data, covering different environmental conditions in different zones of the cheese wheel at different aging times. The aminopeptidases tested in this work were present in cell-free Parmigiano Reggiano cheese extract after a 17-mo ripening and were active when tested in model system. The modeling approach shows that to highlight the individual and interactive effects of chemical-physical variables on enzyme activities, it is helpful to determine the true potential of an amino-peptidase in cheese. Our results evidenced that the 6 different lactic acid bacteria peptidases participate in cheese proteolysis and are induced or inhibited by the cheese production parameters that, in turn, depend on the cheese dimension. Generally, temperature and pH exerted the more relevant effects on the enzymatic activities, and in many cases, a relevant interactive effect of these variables was observed. Increasing salt concentration slowed down broad-specificity amino-peptidase C, glutamyl aminopeptidase A, proline iminopeptidase, and peptidase with high specificity for leucine and alanine. Interestingly, this variable did not affect broad-specificity aminopeptidase N and positively affected X-prolyl dipeptidyl aminopeptidase. The models elaborated varying pH, temperatures, and salt concentration and were a useful, low cost, and fast tool to understand the role of the main peptidases in the different phases of cheese ripening in relation to the major environmental factors influencing enzyme activity.
这项工作的目的是研究帕尔马干酪成熟的哪些阶段中,奶酪提取物中存在的乳酸菌氨肽酶可能参与游离氨基酸的释放,并更好地了解这些酶在远离其最佳状态的物理化学条件下的行为。具体而言,我们评估了6种不同的底物,以重现具有广泛特异性的氨肽酶N、具有广泛特异性的氨肽酶C、谷氨酰氨肽酶A、对亮氨酸和丙氨酸具有高特异性的肽酶、脯氨酸亚氨基肽酶以及释放不同N端氨基酸的X-脯氨酰二肽基氨肽酶的活性。通过在19种不同的实验设计运行中调节变量,确定了pH值、NaCl浓度和温度对氨基酸β-萘酰胺(βNA)底物酶活性的影响,这使得能够构建数学模型,以评估在一系列值上对氨肽酶活性的影响,这些值是通过文献数据获得的,涵盖了不同陈化时间的奶酪轮不同区域的不同环境条件。在这项工作中测试的氨肽酶在经过17个月的成熟后存在于帕尔马干酪的无细胞提取物中,并且在模型系统中测试时具有活性。建模方法表明,为了突出物理化学变量对酶活性的个体和交互作用,确定奶酪中氨肽酶的真正潜力是有帮助的。我们的结果证明,6种不同的乳酸菌肽酶参与了奶酪的蛋白水解作用,并受到奶酪生产参数的诱导或抑制,而这些参数又取决于奶酪的尺寸。一般来说,温度和pH值对酶活性的影响更为显著,并且在许多情况下,观察到这些变量之间存在显著的交互作用。盐浓度的增加减缓了具有广泛特异性的氨肽酶C、谷氨酰氨肽酶A、脯氨酸亚氨基肽酶以及对亮氨酸和丙氨酸具有高特异性的肽酶的活性。有趣的是,该变量对具有广泛特异性的氨肽酶N没有影响,并且对X-脯氨酰二肽基氨肽酶有积极影响。通过改变pH值、温度和盐浓度构建的模型是一种有用、低成本且快速的工具,可用于了解主要肽酶在奶酪成熟不同阶段中相对于影响酶活性的主要环境因素所起的作用。