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Recent next-generation sequencing and bioinformatic analysis methods for food microbiome research

식품 미생물 균총 연구를 위한 최신 마이크로바이옴 분석 기술

  • Kwon, Joon-Gi (Department of Food Science and Biotechnology, Graduate School of Biotechnology, Kyung Hee University) ;
  • Kim, Seon-Kyun (Department of Food Science and Biotechnology, Graduate School of Biotechnology, Kyung Hee University) ;
  • Lee, Ju-Hoon (Department of Food Science and Biotechnology, Graduate School of Biotechnology, Kyung Hee University)
  • 권준기 (경희대학교 생명과학대학 식품생명공학과) ;
  • 김선균 (경희대학교 생명과학대학 식품생명공학과) ;
  • 이주훈 (경희대학교 생명과학대학 식품생명공학과)
  • Received : 2019.08.07
  • Accepted : 2019.09.16
  • Published : 2019.09.30

Abstract

Rapid development of next-generation sequencing (NGS) technology is available to study microbes in genomic level. This NGS has been widely used in DNA/RNA sequencing for genome sequencing, metagenomics, and transcriptomics. The food microbiology area could be categorized into three groups. Food microbes including probiotics and food-borne pathogens are studied in genomic level using NGS for microbial genomics. While food fermentation or food spoilage are more complicated, their genomic study needs to be done with metagenomics using NGS for compositional analysis. Furthermore, because microbial response in food environments are also important to understand their roles in food fermentation or spoilage, pattern analysis of RNA expression in the specific food microbe is conducted using RNA-Seq. These microbial genomics, metagenomics, and transcriptomics for food fermentation and spoilage would extend our knowledge on effective utilization of fermenting bacteria for health promotion as well as efficient control of food-borne pathogens for food safety.

Keywords

References

  1. Bokulich NA, Collins TS, Masarweh C, Allen G, Heymann H, Ebeler SE, Mills DA. Associations among wine grape microbiome, metabolome, and fermentation behavior suggest microbial contribution to regional wine characteristics. mBio 7: e00631-16 (2016)
  2. Clarke J, Wu HC, Jayasinghe L, Patel A, Reid S, Bayley H. Continuous base identification for single-molecule nanopore DNA sequencing. Nat. Nanotechnol. 4: 265-270 (2009) https://doi.org/10.1038/nnano.2009.12
  3. Diener C, Hoge AC, Kearney SM, Edman SE, Gibbons SM. Nonresponder phenotype reveals microbiome-wide antibiotic resistance in the murine gut. bioRxiv. doi: https://doi.org/10.1101/566190 (2019)
  4. Frost&Sullivan. US Next-generation Sequencing Services Market. (2006)
  5. Malla MA, Dubey A, Kumar A, Yadav S, Hashem A, Abd_Allah EF. Exploring the human microbiome: The potential future role of next-generation sequencing in disease diagnosis and treatment. Front. Immunol. 9: 2868 (2019) https://doi.org/10.3389/fimmu.2018.02868
  6. McCarthy A. Third generation DNA sequencing: pacific biosciences' single molecule real time technology. Chem. Biol. 17: 675-676 (2010) https://doi.org/10.1016/j.chembiol.2010.07.004
  7. Morgan XC, Huttenhower C. Human microbiome analysis. PLoS Comp. Biol. 8: e1002808 (2012) https://doi.org/10.1371/journal.pcbi.1002808
  8. Plummer E, Twin J, Bulach DM, Garland SM, Tabrizi SN. A comparison of three bioinformatics pipelines for the analysis of preterm gut microbiota using 16S rRNA gene sequencing data. J. Proteomics Bioinform. 8: 283 (2015)
  9. Ronaghi M. Pyrosequencing sheds light on DNA sequencing. Genome Res. 11: 3-11 (2001) https://doi.org/10.1101/gr.11.1.3
  10. Sanger F, Nicklen S, Coulson. DNA sequencing with chain-terminating inhibitors. Proc. Acad. Sci. USA 74: 5463-5467 (1977) https://doi.org/10.1073/pnas.74.12.5463
  11. Timme RE, Rand H, Leon MS, Hoffmann M, Strain E, Allard M, Roberson D, Baugher JD. GenomeTrakr proficiency testing for foodborne pathogen surveillance: an exercise from 2015. Microb. Genom. 4 (2018)
  12. Wang Z, Gerstein M, Snyder M. 2009. RNA-Seq: a revolutionary tool for transcriptomics. Nat. Rev. Genet. 10: 57 (2009) https://doi.org/10.1038/nrg2484
  13. Weimer BC. 100K Pathogen genome project. Genome Announc. 5:e00594-17 (2017) https://doi.org/10.1128/genomeA.00594-17
  14. 식품의약품안전처. 식중독 통계 자료 Available from: https://www.foodsafetykorea.go.kr/portal/healthyfoodlife/foodPoisoningStat.do?menu_no=3724&menu_grp=MENU_NEW02. Assesed Jul. 31, 2019.