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Matrix-assisted laser desorption/ionization time-of-flight (MALDI-TOF) mass spectrometry (MS), a culture based alternative for microbial diversity studies, is an attractive tool to dereplicate large numbers of isolates to a smaller set of representatives for downstream characterization. In the present study, MALDI-TOF MS, combined with a database of reference spectra compiled in previous studies, was applied to identify 88 non-starter lactic acid bacteria (NSLAB) isolated from 18 samples of four different artisanal cheeses produced in the Island of Naxos, Greece, from raw sheep and goat milk without the addition of starters. Eighty-four isolates (95.5%) could be identified directly via MALDI-TOF MS. Lactobacillus brevis and Lactobacillus plantarum were the dominant species, followed by Lactococcus lactis, Leuconostoc mesenteroides Lactobacillus paracasei, Lactobacillus rhamnosus, Pediococcus pentosaceus and Enterococcus faecium. The remaining four isolates represented species present in the database; however, within-species diversity was insufficiently covered. Additionally, pheS sequencing was applied to confirm identification., (Copyright © 2020 Elsevier B.V. All rights reserved.)

The microflora of four batches of traditional Greek Graviera cheese was studied at 5 weeks of ripening, and 200 lactic acid bacteria (LAB) isolates were phenotypically characterized and screened for antilisterial bacteriocins. The cheeses were also analyzed for organic acids by high-performance liquid chromatography and for the potential presence of 25 known LAB bacteriocin genes directly in cheese and their microbial consortia by PCR. All batches were safe according to the European Union regulatory criteria for Listeria monocytogenes, Salmonella, enterobacteria, and coagulase-positive staphylococci. The cheese flora was dominated by nonstarter Lactobacillus casei/paracasei (67.5%) and Lactobacillus plantarum (16.3%) strains, whereas few Streptococcus thermophilus (3.8%), Lactococcus lactis subsp. lactis (0.6%), and Leuconostoc (1.9%) organisms were present. Enterococcus faecium (9.4%) and Enterococcus durans (0.6%) were isolated among the dominant LAB from two batches; however, enterococci were present in all batches at 10- to 100-fold lower populations than mesophilic lactobacilli. Sixteen E. faecium isolates produced antilisterial enterocins. In accordance, enterocin B gene was detectable in all cheeses and enterocin P gene was present in one cheese, whereas the consortia of all cheeses contained at least two of the enterocin A, B, P, 31, L50A, and L50B genes. Plantaricin A gene was also amplified from all cheeses. Mean concentrations of lactic, acetic, citric, and propionic acids in the ripened cheeses exceeded 1.5% in total, of which approximately 0.9% was lactate. Thus, organic acid contents constitute an important hurdle factor for inhibiting growth of pathogens in traditional Graviera cheese products, with LAB bacteriocins, mainly enterocins, potentially contributing to increased cheese safety.

Growth of and bacteriocin production by Streptococcus macedonicus ACA-DC 198 were assessed and modeled under conditions simulating Kasseri cheese production. Controlled fermentations were performed in milk supplemented with yeast extract at different combinations of temperature (25, 40, and 55 degrees C), constant pH (pHs 5 and 6), and added NaCl (at concentrations of 0, 2, and 4%, wt/vol). The data obtained were used to construct two types of predictive models, namely, a modeling approach based on the gamma concept, as well as a model based on artificial neural networks (ANNs). The latter computational methods were used on 36 control fermentations to quantify the complex relationships between the conditions applied (temperature, pH, and NaCl) and population behavior and to calculate the associated biokinetic parameters, i.e., maximum specific growth and cell count decrease rates and specific bacteriocin production. The functions obtained were able to estimate these biokinetic parameters for four validation fermentation experiments and obtained good agreement between modeled and experimental values. Overall, these experiments show that both methods can be successfully used to unravel complex kinetic patterns within biological data of this kind and to predict population kinetics. Whereas ANNs yield a better correlation between experimental and predicted results, the gamma-concept-based model is more suitable for biological interpretation. Also, while the gamma-concept-based model has not been designed for modeling of other biokinetic parameters than the specific growth rate, ANNs are able to deal with any parameter of relevance, including specific bacteriocin production.

Bacteriocin production by Enterococcus faecium FAIR-E 198, isolated from Greek Feta cheese, was studied in batch fermentations, under conditions simulating Feta cheese preparation. Maximum enterocin activity and growth rate was obtained in de Man-Rogosa-Sharpe (MRS) broth at 37 degrees C with controlled pH 6.5. The enterocin was produced throughout the growth phase of the microorganism, showing primary metabolite kinetics with a peak activity during the mid-exponential phase. The use of skimmed milk as substrate revealed low enterocin activity. When fermentations were performed in skimmed milk in the presence of rennet, CaCl2, and a mixed starter culture, no enterocin activity was observed, although the examined strain grew well under the above conditions. Finally, when E. faecium FAIR-E 198 was applied as adjunct starter in Feta cheese making, no enterocin activity was detected throughout ripening. Results obtained underline the frequently underestimated finding that in vitro production by novel bacteriocinogenic starter or co-cultures is no guarantee for in situ efficiency. It was concluded that the complex food environment thoroughly interferes with bacteriocin production levels.

Cheese is characterized by a rich and complex microbiota that plays a vital role during both production and ripening, contributing significantly to the safety, quality, and sensory characteristics of the final product. In this context, it is vital to explore the microbiota composition and understand its dynamics and evolution during cheese manufacturing and ripening. Application of high-throughput DNA sequencing technologies have facilitated the more accurate identification of the cheese microbiome, detailed study of its potential functionality, and its contribution to the development of specific organoleptic properties. These technologies include amplicon sequencing, whole-metagenome shotgun sequencing, metatranscriptomics, and, most recently, metabolomics. In recent years, however, the application of multiple meta-omics approaches along with data integration analysis, which was enabled by advanced computational and bioinformatics tools, paved the way to better comprehension of the cheese ripening process, revealing significant associations between the cheese microbiota and metabolites, as well as their impact on cheese flavor and quality. [ABSTRACT FROM AUTHOR]

Abstract: The aim of the present work was the detection and enumeration of Streptococcus macedonicus in Greek traditional cheeses. A total of 68 traditional cheese samples have been examined. Enumeration was performed by plating on the S. macedonicus differential medium Bromothymol Blue Streptococcus macedonicus (BBSM). Detection of S. macedonicus was confirmed by species-specific polymerase chain reaction (PCR), using as template either cheese DNA or DNA from colonies isolated from the BBSM medium. Counts of S. macedonicus on BBSM medium ranged from less than 1 to 6.84logcfug−1. S. macedonicus has been detected in 15 samples out of the 68 tested, corresponding to 13 out of the 20 different cheese varieties examined, originating from various geographical areas in Greece. This indicates that S. macedonicus is widespread in Greek cheeses. However, its presence could not be correlated either with the cheese variety or the cheese manufacturing procedures. [Copyright &y& Elsevier]

Streptococcus macedonicus ACA-DC 198, a food-grade isolate from naturally fermented Greek Kasseri cheese, produces a lantibiotic named macedocin that has been previously purified and characterized. In the present study, a 15 171 bp region in the S. macedonicus ACA-DC 198 chromosome, containing the biosynthetic gene cluster of macedocin, has been sequenced. This region consists of 10 ORFs, which correspond to the genes ( mcd genes) involved in macedocin biosynthesis, regulation and immunity. The mcd genes are organized in two operons and their role is predicted on the basis of similarities to genes of known lantibiotics. Compared with its closest match, the streptococcin A-FF22 gene cluster, the macedocin one contains an additional structural gene and an insertion sequence between the regulatory and the biosynthetic operons. [ABSTRACT FROM AUTHOR]

Abstract: Streptococous macedonicus ACA-DC 198 was used both as an adjunct (Cheese B) and as sole starter (Cheese C) in Kasseri cheese production. Control cheese (Cheese A) was prepared using a commercial starter culture. In all cheeses, numbers of all microbial groups examined initially increased, but declined after Baski scalding and remained practically stable up to day 90. The presence of S. macedonicus was confirmed until the end of ripening (Cheeses B and C); this was also the case for the bacteriocin produced by S. macedonicus ACA-DC 198. X-propyl-dipeptidyl-aminopeptidase activity was detected in all cheeses after day 15. The physicochemical characteristics of the mature Cheese C were in agreement with those defined by the Greek legislation. The sensory properties of all mature cheeses corresponded with the ones characterizing the traditional Kasseri cheese. It was concluded that S. macedonicus ACA-DC 198 can be used as an adjunct in Kasseri cheese production. [Copyright &y& Elsevier]

Artisanal cheeses, in particular those prepared from raw milk, are the most commonly used ecosystems to mine microorganisms with both technological and human-health related potential. In the present study, the microbiota of two Greek artisanal cheeses, the PDO Kalathaki and the non-PDO Melichloro, was explored via classical microbiological analysis. Lactic acid bacteria isolated mainly belonged to the genus Enterococcus (66%) and to a lesser degree to Pediococcus (15%) , Leuconostoc (8%), Lactobacillus (6%) and Lactococcus (5%). From the 112 initial isolates, 32 were selected and studied for their probiotic potential, i.e. safety traits, survival under gastrointestinal tract conditions, antimicrobial activity, adhesion, angiotensin I-converting enzyme inhibitory activity and immunomodulation of human monocytes. Two isolates, namely Lactobacillus brevis ACA-DC 1705 and Leuconostoc mesenteroides ACA-DC 1738, exhibited the most promising probiotic potential due to strong angiotensin I-converting enzyme inhibitory activity and anti-inflammatory modulation of immune cells, respectively, and, thus they could be used as adjuncts in novel functional products. • First report on the microbiota diversity of the cheeses Kalathaki and Melichloro. • Evaluation of the probiotic potential of the isolated lactic acid bacteria. • A Lactobacillus brevis showed angiotensin I-converting enzyme inhibitory activity. • A Leuconostoc mesenteroides displayed anti-inflammatory modulation of immune cells. [ABSTRACT FROM AUTHOR]