The microbial terroir of Greek olive varieties remains underexplored. In this study, 62 samples of olive fruits, collected during the ripening stage across the period 2019-2020, were analyzed by high-throughput sequencing. These samples represented 38 olive varieties along 9 different ?macrearee of Greece. Analysis of the bacterial composition revealed that the geographical area was a significant factor in discriminating samples. The core microbiota included Erwinia, Pseudomonas, and members of the Enterobacteriaceae family. Furthermore, a notable variation in bacterial taxa abundances associated with the geographic location was observed. The sampling area was a key discriminant factor for the mycobiota, and the core mycobiota consisted in Alternaria, Taphrina, Candida, Wickerhamomyces anomalus and Penicillium. Finally, Redundancy Analysis (RDA) analysis revealed a notable association between environmental characteristics and microbial composition. Specifically, tree age was associated with certain bacterial and fungal taxa (Pearson’s correlation p-value adj.[FDR] < 0.05).

The microbial terroir of the Greek olive varieties

Ferrocino, Ilario
First
;
Buzzanca, Davide;
2025-01-01

Abstract

The microbial terroir of Greek olive varieties remains underexplored. In this study, 62 samples of olive fruits, collected during the ripening stage across the period 2019-2020, were analyzed by high-throughput sequencing. These samples represented 38 olive varieties along 9 different ?macrearee of Greece. Analysis of the bacterial composition revealed that the geographical area was a significant factor in discriminating samples. The core microbiota included Erwinia, Pseudomonas, and members of the Enterobacteriaceae family. Furthermore, a notable variation in bacterial taxa abundances associated with the geographic location was observed. The sampling area was a key discriminant factor for the mycobiota, and the core mycobiota consisted in Alternaria, Taphrina, Candida, Wickerhamomyces anomalus and Penicillium. Finally, Redundancy Analysis (RDA) analysis revealed a notable association between environmental characteristics and microbial composition. Specifically, tree age was associated with certain bacterial and fungal taxa (Pearson’s correlation p-value adj.[FDR] < 0.05).
2025
1
16
Ferrocino, Ilario; Buzzanca, Davide; Pagiati, Lena; Kazou, Maria; Georgalaki, Marina; Hatzopoulos, Ioannis; Tsakalidou, Effie
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/2084841
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