Microbial Profiling in Acacia Honey through Metabarcoding Analysis

The origin of food product affects its value assessment. This trend has led to various methods for tracing provenance, one of which is based on DNA. DNA-based analysis utilizing residual tissues of organisms potentially present in honey can be employed to determine its identity. Two-types of DNA, cell-free DNA and pollen DNA, were isolated from five samples of honey. A total of ten DNA samples were analyzed using the 16S marker for metagenomic barcoding analysis, identifying thirty species of bacteria. The quantitative distribution of these bacterial species exhibited variation according to their geographical origin, and DNA purifying methods. Thus, DNA-based metagenomic barcoding analysis enabled for the detection of diverse micoorganisms within the honey and provided differences between production regions, suggesting the possibility of distinguishing the origin.

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Publication Details

Journal
Journal of Apiculture
Published
2024-09-30
DOI
https://doi.org/10.17519/apiculture.2024.09.39.3.245
Primary Topic
Plant and animal studies
Type
article
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article

Microbial Profiling in Acacia Honey through Metabarcoding Analysis

Seon‐Mi Kim, Hong-Min Choi, S. Kim, Hyo‐Young Kim et al.
Journal of Apiculture
Plant and animal studies
article

Microbial Profiling in Acacia Honey through Metabarcoding Analysis

Seon‐Mi Kim, Hong-Min Choi, S. Kim, Hyo‐Young Kim, Soon‐Ok Woo, Si-Won Moon
article en

Abstract

The origin of food product affects its value assessment. This trend has led to various methods for tracing provenance, one of which is based on DNA. DNA-based analysis utilizing residual tissues of organisms potentially present in honey can be employed to determine its identity. Two-types of DNA, cell-free DNA and pollen DNA, were isolated from five samples of honey. A total of ten DNA samples were analyzed using the 16S marker for metagenomic barcoding analysis, identifying thirty species of bacteria. The quantitative distribution of these bacterial species exhibited variation according to their geographical origin, and DNA purifying methods. Thus, DNA-based metagenomic barcoding analysis enabled for the detection of diverse micoorganisms within the honey and provided differences between production regions, suggesting the possibility of distinguishing the origin.

Journal of ApicultureVol. 39(3)
Zero hunger
Openalex Percentile: Top 87%
Plant and animal studies
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Microbial Profiling in Acacia Honey through Metabarcoding Analysis — Seon‐Mi Kim, Hong-Min Choi, et al. · Journal of Apiculture (2024) | TGRS Research Map | TGRS