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https://hdl.handle.net/20.500.14279/21711
Title: | Investigation of donkey milk bacterial diversity by 16S rDNA high-throughput sequencing on a Cyprus donkey farm | Authors: | Papademas, Photis Kamilari, E. Aspri, Maria Anagnostopoulos, Dimitrios A. Mousikos, P Kamilaris, Andreas Tsaltas, Dimitrios |
Major Field of Science: | Agricultural Sciences | Field Category: | Animal and Dairy Science | Keywords: | 16S rDNA sequencing;bacterial communities;high-throughput sequencing;donkey milk | Issue Date: | Jan-2021 | Source: | Journal of dairy science, 2021, vol. 104, no.1, pp. 167-178 | Volume: | 104 | Issue: | 1 | Start page: | 167 | End page: | 178 | Journal: | Journal of dairy science | Abstract: | The interest in milk originating from donkeys is growing worldwide due to its claimed functional and nutritional properties, especially for sensitive population groups, such as infants with cow milk protein allergy. The current study aimed to assess the microbiological quality of donkey milk produced in a donkey farm in Cyprus using culture-based and high-throughput sequencing techniques. The culture-based microbiological analysis showed very low microbial counts, whereas important food-borne pathogens were not detected in any sample. In addition, high-throughput sequencing was applied to characterize the bacterial communities of donkey milk samples. Donkey milk mostly composed of gram-negative Proteobacteria, including Sphingomonas, Pseudomonas, Mesorhizobium, and Acinetobacter; lactic acid bacteria, including Lactobacillus and Streptococcus; the endospores forming Clostridium; and the environmental genera Flavobacterium and Ralstonia, detected in lower relative abundances. The results of the study support existing findings that donkey milk contains mostly gram-negative bacteria. Moreover, it raises questions regarding the contribution of (1) antimicrobial agents (i.e., lysozyme, peptides) in shaping the microbial communities and (2) bacterial microbiota to the functional value of donkey milk. | Description: | The authors acknowledge the technical support and welcoming environment from Golden Donkeys Farm, Cyprus, for the milk samples collection. Author contributions: conceptualization, D.T. and P.P.; methodology, E.K., D.A., and M.A.; formal analysis, E.K., M.A., and A.K.; investigation, E.K., D.A. and M.A.; resources, D.T., P.P., and P.M.; data curation, E.K.; writing—original draft preparation, E.K. and M.A.; writing—review and editing, E.K., D.T., and P.P.; supervision, D.T. and P.P.; project administration, D.T.; funding acquisition, D.T. All authors have read and agreed to the published version of the manuscript. Funding: this research was funded by INTERREG Greece–Cyprus 2014-2020 Program [Project AGRO-ID, which is co-funded by the European Union (ERDF) and National Resources of Greece and Cyprus] and project DELIVER by the Research and Innovation Foundation (RIF) of Cyprus. Andreas Kamilaris has received funding from the European Union's Horizon 2020 Research and Innovation Programme under grant agreement No. 739578 complemented by the government of the Republic of Cyprus through the Directorate General for European Programmes, Coordination and Development. The authors declare no conflict of interest. | URI: | https://hdl.handle.net/20.500.14279/21711 | ISSN: | 00220302 | DOI: | 10.3168/jds.2020-19242 | Rights: | © 2021 American Dairy Science Association | Type: | Article | Affiliation : | Cyprus University of Technology University of Twente Research Center on Interactive Media, Smart Systems and Emerging Technologies |
Funding: | Horizon 2020 Framework Programme Interreg European Commission European Regional Development Fund | Publication Type: | Peer Reviewed |
Appears in Collections: | Άρθρα/Articles |
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