Publications

Microbial metabarcoding highlights different bacterial and fungal populations in honey samples from local beekeepers and market in north-eastern Italy  (2020)

Authors:
Balzan, S; Carraro, L; Merlanti, R; Lucatello, L; Capolongo, F; Fontana, F; Novelli, E; Larini, I; Vitulo, N; Cardazzo, B
Title:
Microbial metabarcoding highlights different bacterial and fungal populations in honey samples from local beekeepers and market in north-eastern Italy
Year:
2020
Type of item:
Articolo in Rivista
Tipologia ANVUR:
Articolo su rivista
Language:
Inglese
Referee:
No
Name of journal:
International Journal of Food Microbiology
ISSN of journal:
0168-1605
N° Volume:
334
:
Elsevier
Page numbers:
108806-108813
Keyword:
Honey; Microbiota; rRNA 16S; ITS2; Lactic acid bacteria; Bacteria; DNA Barcoding, Taxonomic; DNA, Bacterial; DNA, Fungal; Food Microbiology; Fungi; Honey; Italy; Lactobacillales; Microbiota
Short description of contents:
Due to its chemical properties, honey does not foster the growth of microorganisms, however it may contain a rich microbial community, including viable, stressed, and not viable microbes. In order to characterize honey microbiota focusing on the difference between products from beekeepers and large retail in the present study a culture-independent approach based on DNA metabarcoding was applied. Honey samples were collected from Local Beekeepers (LB) and Market sales (M) during four years with the aim to investigate the microbiological quality in the honey market. Extraction and amplification of DNA from honey samples showed reduced efficiency with increasing age of honey, with the loss of 50-80% of samples four years old (2014). For this reason, only samples of similar age were compared and the analysis of microbial communities focused on year 2017, for a total of 75 samples. Differences in alpha and beta-diversity were evidenced comparing microbial communities between LB and M samples. In particular, contaminant bacteria dominated the microbiota in M samples while LB samples were enriched in Lactic Acid Bacteria (LAB) that cannot be isolated with culture-dependent approaches.
Product ID:
117509
Handle IRIS:
11562/1029747
Last Modified:
November 15, 2022
Bibliographic citation:
Balzan, S; Carraro, L; Merlanti, R; Lucatello, L; Capolongo, F; Fontana, F; Novelli, E; Larini, I; Vitulo, N; Cardazzo, B, Microbial metabarcoding highlights different bacterial and fungal populations in honey samples from local beekeepers and market in north-eastern Italy «International Journal of Food Microbiology» , vol. 3342020pp. 108806-108813

Consulta la scheda completa presente nel repository istituzionale della Ricerca di Ateneo IRIS

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