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    Rapid on-site detection for Pediococcus species based on genomic data analysis

    한글로보기

    https://www.riss.kr/link?id=T17198937

    • 저자
    • 발행사항

      용인 : 경희대학교 대학원, 2025

    • 학위논문사항
    • 발행연도

      2025

    • 작성언어

      영어

    • DDC

      570 판사항(23)

    • 발행국(도시)

      경기도

    • 형태사항

      vii, 46 p. : 천연색삽화, 도표 ; 26 cm.

    • 일반주기명

      경희대학교 논문은 저작권에 의해 보호받습니다.
      지도교수: 김해영
      참고문헌: p. 38-44.

    • UCI식별코드

      I804:11006-200000827986

    • 소장기관
      • 경희대학교 국제캠퍼스 도서관 소장기관정보
      • 경희대학교 중앙도서관 소장기관정보
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    다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

    The genus Pediococcus is important lactic acid bacteria commonly found in fermented foods and beverages, contributing to flavor development and preservation. Although they have significant commercial value, their classification relies on outdated identification methods. In this study, we employed computational pangenome analysis to develop an on-site PCR method distinguishing the 10 Pediococcus species present in food products. Analysis of pan and core-genome phylogenies showed clustering of strains into 10 distinct groups according to the species. Therefore, pangenome analysis for selecting species-specific genes was applied and primer pairs that can identify ten species were designed. As a result, the high specificity (100%) using 10 Pediococcus species strains and 50 other reference strains was demonstrated. Also, the sensitivity of the developed on-site PCR approach reached 101 colony forming units (CFUs)/ml. All standard curves exhibited excellent linear relationships, with R2 values of ≥0.990. Moreover, when compared to traditional microbial identification methods, such as 16S rRNA gene sequencing and MALDI-TOF MS, the on-site PCR method exhibited superior accuracy. The applicability of the on-site PCR method was verified by monitoring 32 fermented foods or dairy products. This method has the potential to improve quality control, optimize fermentation processes, and ensure safety and consistency in food production.
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    The genus Pediococcus is important lactic acid bacteria commonly found in fermented foods and beverages, contributing to flavor development and preservation. Although they have significant commercial value, their classification relies on outdated iden...

    The genus Pediococcus is important lactic acid bacteria commonly found in fermented foods and beverages, contributing to flavor development and preservation. Although they have significant commercial value, their classification relies on outdated identification methods. In this study, we employed computational pangenome analysis to develop an on-site PCR method distinguishing the 10 Pediococcus species present in food products. Analysis of pan and core-genome phylogenies showed clustering of strains into 10 distinct groups according to the species. Therefore, pangenome analysis for selecting species-specific genes was applied and primer pairs that can identify ten species were designed. As a result, the high specificity (100%) using 10 Pediococcus species strains and 50 other reference strains was demonstrated. Also, the sensitivity of the developed on-site PCR approach reached 101 colony forming units (CFUs)/ml. All standard curves exhibited excellent linear relationships, with R2 values of ≥0.990. Moreover, when compared to traditional microbial identification methods, such as 16S rRNA gene sequencing and MALDI-TOF MS, the on-site PCR method exhibited superior accuracy. The applicability of the on-site PCR method was verified by monitoring 32 fermented foods or dairy products. This method has the potential to improve quality control, optimize fermentation processes, and ensure safety and consistency in food production.

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    목차 (Table of Contents)

    • 1. INTRODUCTION 1
    • 2. MATERIALS AND METHODS 6
    • 2.1. Bacterial strains and cultivation 6
    • 2.2. Whole-genome sequences and ANI analysis 9
    • 2.3. Pangenome analysis and extraction of species-specific genetic markers 13
    • 1. INTRODUCTION 1
    • 2. MATERIALS AND METHODS 6
    • 2.1. Bacterial strains and cultivation 6
    • 2.2. Whole-genome sequences and ANI analysis 9
    • 2.3. Pangenome analysis and extraction of species-specific genetic markers 13
    • 2.4. On-site PCR conditions 14
    • 2.5. Specificity and sensitivity testing of the on-site PCR 16
    • 2.6. Validation of the on-site PCR method 17
    • 2.7. Field application potential of the on-site PCR 19
    • 3. RESULTS AND DISCUSSION 20
    • 3.1. Comparative ANI analysis 20
    • 3.2. Pangenome analysis and genetic marker characterization in Pediococcus species 22
    • 3.3. Specificity of the on-site PCR 27
    • 3.4. Sensitivity of the on-site PCR 30
    • 3.5. Comparison of identification methods for Pediococcus species 33
    • 3.6. Application of on-site PCR for monitoring Pediococcus species 35
    • 4. CONCLUSION 37
    • 5. REFERENCES 38
    • 국문 초록 45
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