P2-33 Metagenomics Analysis of the Feta Cheese Microbial Ecosystem

Thursday, May 12, 2016
Megaron Athens International Conference Center
Voula Alexandraki, Laboratory of Dairy Research, Department of Food Science and Human Nutrition, Agricultural University of Athens, Athens, Greece
Maria Kazou, Laboratory of Dairy Research, Department of Food Science and Human Nutrition, Agricultural University of Athens, Athens, Greece
Christina Charmpi, Laboratory of Dairy Research, Department of Food Science and Human Nutrition, Agricultural University of Athens, Athens, Greece
Rim-Eirini Bounenni, Laboratory of Dairy Research, Department of Food Science and Human Nutrition, Agricultural University of Athens, Athens, Greece
Marina Georgalaki, Laboratory of Dairy Research, Department of Food Science and Human Nutrition, Agricultural University of Athens, Athens, Greece
Rania Anastasiou, Laboratory of Dairy Research, Department of Food Science and Human Nutrition, Agricultural University of Athens, Athens, Greece
Effie Tsakalidou, Laboratory of Dairy Research, Department of Food Science and Human Nutrition, Agricultural University of Athens, Athens, Greece
Konstantinos Papadimitriou, Laboratory of Dairy Research, Department of Food Science and Human Nutrition, Agricultural University of Athens, Athens, Greece
Introduction: Feta cheese is the flagship of the Greek cheeses with a complicated microbiota, which is well characterized mainly by classical microbiological methods or molecular techniques. However, so far no full fingerprinting has been performed using metagenomics analysis.

Purpose: A comprehensive investigation of the Feta cheese microbial ecosystem using metagenomics analysis.

Methods: In the present study, 12 artisanal Feta cheese samples from geographically dispersed regions in Greece along with five industrially produced Feta cheese samples were considered. After sensorial evaluation, 4 artisanal and 2 industrial samples were selected for further analysis. Samples were subjected to classical microbiological analysis, using selective growth media. Moreover, after total DNA extraction performed using a novel protocol developed in our laboratory, metagenomics analysis was performed by employing the 16S (bacteria) and ITS (yeasts) diversity assays. The data of the metagenomics analysis were analyzed using the MG-RAST server.

Results: The results of the classical microbiological analysis showed the presence of both bacteria and yeasts in all Feta cheeses, with bacteria being the dominant microbial community. Metagenomics analysis revealed the high variation among the numbers of bacterial and yeast species present in the ecosystem of the Feta cheese samples, with the number of the yeast species being almost twofold compared to the respective number of bacteria. Concerning bacteria, the dominant species were Streptococcus thermophilus and Lactobacillus delbrueckii (industrial samples) and Lactococcus lactis (artisanal samples). Furthermore, in all cheese samples, 4 yeast species were found to be the most abundant, namely Kluyveromyces lactis, Debaromyces hansenii, Pichia membranifaciens and Cryptococcus cyanovorans.

Significance: This study is the first report on the metagenomics analysis of the microbial diversity of Feta cheese.