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학술논문Journal of Apiculture2025.09 발행

아까시꿀의 미생물 다양성, 기능 연구와 원산지 식별을 위한 환경 DNA 메타바코딩 접근법

Microbial Diversity and Functions of Acacia Honey Revealed by Environmental DNA Metabarcoding for Geographic Origin Identification

김선미(농촌진흥청 국립농업과학원 농업생물부); 최홍민(농촌진흥청 국립농업과학원 농업생물부); 임푸름(농촌진흥청 국립농업과학원 농업생물부); 이샘결(농촌진흥청 국립농업과학원 농업생물부); 이문선(농촌진흥청 국립농업과학원 농업생물부); 손윤곤(농촌진흥청 국립농업과학원 농업생물부); 박수원(농촌진흥청 국립농업과학원 농업생물부); 우순옥(농촌진흥청 국립농업과학원 농업생물부)

40권 3호, 263~269쪽

초록

This study analyzed fifteen domestic and four imported Robinia honey samples using V3- V4 16S rRNA gene metabarcoding, identifying a total of 1,147 bacterial taxa. The 39 most prevalent taxa were grouped into five functional categories based on their physiological and ecological characteristics: (1) honeybee-associated symbionts, such as Apilactobacillus spp. and Gilliamella apicola, which aid in digestion and immune function; (2) pathogenic bacteria, including Melissococcus plutonius and Paenibacillus larvae, responsible for foulbrood diseases; (3) beneficial and probiotic strains like Bacillus atrophaeus, Latilactobacillus sakei, and Clostridium butyricum with fermentative and antimicrobial properties; (4) skin and human commensals, such as Cutibacterium acnes and Staphylococcus capitis, suggestive of potential operator or cross-contamination; and (5) environmental and plant-associated microorganisms, including Pantoea, Acinetobacter, Pseudomonas, and Erwinia, originating from soil, vegetation, and air. These microbial community profiles show potential as biomarkers for verifying honey origin, as well as providing simultaneous insights into apiary health and disease risks.

Abstract

This study analyzed fifteen domestic and four imported Robinia honey samples using V3- V4 16S rRNA gene metabarcoding, identifying a total of 1,147 bacterial taxa. The 39 most prevalent taxa were grouped into five functional categories based on their physiological and ecological characteristics: (1) honeybee-associated symbionts, such as Apilactobacillus spp. and Gilliamella apicola, which aid in digestion and immune function; (2) pathogenic bacteria, including Melissococcus plutonius and Paenibacillus larvae, responsible for foulbrood diseases; (3) beneficial and probiotic strains like Bacillus atrophaeus, Latilactobacillus sakei, and Clostridium butyricum with fermentative and antimicrobial properties; (4) skin and human commensals, such as Cutibacterium acnes and Staphylococcus capitis, suggestive of potential operator or cross-contamination; and (5) environmental and plant-associated microorganisms, including Pantoea, Acinetobacter, Pseudomonas, and Erwinia, originating from soil, vegetation, and air. These microbial community profiles show potential as biomarkers for verifying honey origin, as well as providing simultaneous insights into apiary health and disease risks.

발행기관:
한국양봉학회
분류:
양봉

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아까시꿀의 미생물 다양성, 기능 연구와 원산지 식별을 위한 환경 DNA 메타바코딩 접근법 | Journal of Apiculture 2025 | AskLaw | 애스크로 AI