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


Journal

International journal of food microbiology
ISSN: 1879-3460
Titre abrégé: Int J Food Microbiol
Pays: Netherlands
ID NLM: 8412849

Informations de publication

Date de publication:
02 Dec 2020
Historique:
received: 20 04 2020
revised: 27 07 2020
accepted: 28 07 2020
pubmed: 18 8 2020
medline: 4 11 2020
entrez: 18 8 2020
Statut: ppublish

Résumé

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.

Identifiants

pubmed: 32805512
pii: S0168-1605(20)30300-7
doi: 10.1016/j.ijfoodmicro.2020.108806
pii:
doi:

Substances chimiques

DNA, Bacterial 0
DNA, Fungal 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

108806

Informations de copyright

Copyright © 2020 Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Stefania Balzan (S)

Dept. of Comparative Biomedicine and Food Science, University of Padua, Viale Università 16, 35020 Legnaro, PD, Italy.

Lisa Carraro (L)

Dept. of Comparative Biomedicine and Food Science, University of Padua, Viale Università 16, 35020 Legnaro, PD, Italy.

Roberta Merlanti (R)

Dept. of Comparative Biomedicine and Food Science, University of Padua, Viale Università 16, 35020 Legnaro, PD, Italy.

Lorena Lucatello (L)

Dept. of Comparative Biomedicine and Food Science, University of Padua, Viale Università 16, 35020 Legnaro, PD, Italy.

Francesca Capolongo (F)

Dept. of Comparative Biomedicine and Food Science, University of Padua, Viale Università 16, 35020 Legnaro, PD, Italy. Electronic address: francesca.capolongo@unipd.it.

Federico Fontana (F)

Dept. of Comparative Biomedicine and Food Science, University of Padua, Viale Università 16, 35020 Legnaro, PD, Italy.

Enrico Novelli (E)

Dept. of Comparative Biomedicine and Food Science, University of Padua, Viale Università 16, 35020 Legnaro, PD, Italy.

Ilaria Larini (I)

Dept. of Biotechnology, University of Verona, Cà Vignal 1, Strada Le Grazie 15, 37134 Verona, Italy.

Nicola Vitulo (N)

Dept. of Biotechnology, University of Verona, Cà Vignal 1, Strada Le Grazie 15, 37134 Verona, Italy.

Barbara Cardazzo (B)

Dept. of Comparative Biomedicine and Food Science, University of Padua, Viale Università 16, 35020 Legnaro, PD, Italy.

Articles similaires

Populus Soil Microbiology Soil Microbiota Fungi
Aerosols Humans Decontamination Air Microbiology Masks
Coal Metagenome Phylogeny Bacteria Genome, Bacterial
Semiconductors Photosynthesis Polymers Carbon Dioxide Bacteria

Classifications MeSH