New methods of food preservation by L. Leistner (auth.), G. W. Gould (eds.)

By L. Leistner (auth.), G. W. Gould (eds.)

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NisT encodes a 69 kDa protein thought to play a role in the translocation of nisin across the membrane of the producer cell. The fourth gene, nisC, is again most probably involved in post-translational modification of pre-nisin, and has analogues in the epidermin and subtilin operons. A role in immunity has been proposed for the lipoprotein encoded by nisI, whereas nisP removes the leader sequence to produce mature nisin. The final gene, nisR, most probably directs the synthesis of a regulatory protein, and expression of this gene has been shown to be essential for precursor nisin synthesis.

Perhaps the most elegant example of this approach was used to clone the nisin genes. The deduced structure of mature nisin was used to predict the probable sequence of pre-nisin, and thus to construct a degenerate oligonucleotide probe. In some instances, particularly in those in which the bacteriocin gene(s) is plasmid-located, direct cloning into a suitable expression host has been preferred. 2. The bacteriocins chosen are representative of the main classes and include, where available, the processing genes in addition to the production and immunity determinants.

2, there are numerous other relevant hurdles to be considered, which are important for the stability, safety, and quality of particular foods. It is unlikely that all, or even a majority of these hurdles, could be covered by predictive modelling. Thus predictive microbiology cannot be a quantitative approach to the totality of hurdle technology. However, it does allow quite reliable predictions of the fate of microorganisms in food systems, while considering few but the most important factors (hurdles).

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