DOI QR코드

DOI QR Code

Freeze-drying feces reduces illumina-derived artefacts on 16S rRNA-based microbial community analysis

Illumina를 이용한16S rRNA 기반 미생물생태분석에서 분변의 동결건조에 의한 인공적인 시퀀스 생성 감소효과

  • Kim, Jungman (Faculty of Biotechnology, College of Applied Life Science, SARI, Jeju National University) ;
  • Unno, Tatsuya (Faculty of Biotechnology, College of Applied Life Science, SARI, Jeju National University)
  • Received : 2016.06.29
  • Accepted : 2016.07.25
  • Published : 2016.12.31

Abstract

When used for amplicon sequencing, Illumina platforms produce more than hundreds of sequence artefacts, which affects operational taxonomic units based analyses such as differential abundance and network analyses. Nevertheless it has become a major tool for fecal microbial community analysis. In addition, results from sequence-based fecal microbial community analysis vary depending on conditions of samples (i.e., freshness, time of storage and quantity). We investigated if freeze-drying samples could improve quality of sequence data. Our results showed reduced number of possible artefacts while maintaining overall microbial community structure. Therefore, freeze-drying feces prior to DNA extraction is recommended for Illumina-based microbial community analysis.

PCR 산물을 이용한 시퀀싱방법 중 Illumina 플랫폼으로 시퀀싱을 수행하면 100개 이상의 인위적인 시퀀스가 생겨나며, 그러한 인위적으로 형성되는 시퀀스에 의해 Operational taxonomic units를 기반으로 한 미생물생태 변화 및 네트워크 분석에 영향을 미친다. 이러한 문제점이 있음에도 불구하고 분변미생물생태를 분석하는데 Illumina에서 제공하고 있는 시퀀싱을 주된 방법으로 사용하고 있으며, 또한 그러한 시퀀스 기반의 분변미생물 생태분석 결과는 분변샘플상태(i.e., 분변 보관 기간, 분변양, 분변의 신선도)에 따라 상이하게 나타난다. 본 연구에서는 분변샘플의 동결건조가 시퀀스 데이터의 퀄리티를 향상시키는지 관해 조사하였으며, 이를 통해 분변샘플에 동결건조처리는 전체적인 미생물생태구조를 변화시키지는 않지만 인위적으로 형성되었을 가능성이 있는 시퀀스의 수를 감소시키는 것으로 확인되었다. 따라서, 분변으로부터 DNA를 추출하기 이전에 동결건조처리하는 방법을 Illumina 기반의 분변미생물생태분석에 사용하는 것을 권장한다.

Keywords

References

  1. Ahn JH, Kim BY, Song J, Weon HY (2012) Effects of PCR cycle number and DNA polymerase type on the 16S rRNA gene pyrosequencing analysis of bacterial communities J Microbiol 50:1071-1074 doi:10.1007/s12275-012-2642-z
  2. Caporaso JG, Lauber CL, Walters WA, Berg-Lyons D, Lozupone CA, Turnbaugh PJ, Fierer N, Knight R (2011) Global patterns of 16S rRNA diversity at a depth of millions of sequences per sample Proceedings of the National Academy of Sciences of the United States of America 108 Suppl 1:4516-4522 doi:10.1073/pnas.1000080107
  3. Cole JR, Wang Q, Cardenas E, Fish J, Chai B, Farris RJ, Kulam-Syed-Mohideen AS, McGarrell DM, Marsh T, Garrity GM, Tiedje JM (2009) The Ribosomal Database Project: improved alignments and new tools for rRNA analysis Nucleic Acids Res 37:D141-145 doi:10.1093/nar/gkn879
  4. Dohm JC, Lottaz C, Borodina T, Himmelbauer H (2008) Substantial biases in ultra-short read data sets from high-throughput DNA sequencing Nucleic Acids Res 36:e105 doi:10.1093/nar/gkn425
  5. Edgar RC, Haas BJ, Clemente JC, Quince C, Knight R (2011) UCHIME improves sensitivity and speed of chimera detection Bioinformatics 27:2194-2200 doi:10.1093/bioinformatics/btr381
  6. Hoffmann S, Otto C, Kurtz S, Sharma CM, Khaitovich P, Vogel J, Stadler PF, Hackermuller J (2009) Fast mapping of short sequences with mismatches, insertions and deletions using index structures PLoS Comput Biol 5:e1000502 doi:10.1371/journal.pcbi.1000502
  7. Kennedy K, Hall MW, Lynch MD, Moreno-Hagelsieb G, Neufeld JD (2014a) Evaluating bias of illumina-based bacterial 16S rRNA gene profiles Appl Environ Microbiol 80:5717-5722 doi:10.1128/AEM.01451−14
  8. Kennedy NA, Walker AW, Berry SH, Duncan SH, Farquarson FM, Louis P, Thomson JM, Satsangi J, Flint HJ, Parkhill J, Lees CW, Hold GL (2014b) The impact of different DNA extraction kits and laboratories upon the assessment of human gut microbiota composition by 16S rRNA gene sequencing PLoS One 9:e88982 doi:10.1371/journal.pone.0088982
  9. Kircher M, Stenzel U, Kelso J (2009) Improved base calling for the Illumina Genome Analyzer using machine learning strategies Genome Biol 10:R83 doi:10.1186/gb-2009-10-8-r83
  10. Kozich JJ, Westcott SL, Baxter NT, Highlander SK, Schloss PD (2013) Development of a dual-index sequencing strategy and curation pipeline for analyzing amplicon sequence data on the MiSeq Illumina sequencing platform Applied and environmental microbiology 79:5112-5120 doi:10.1128/AEM.01043-13
  11. Kwon S, Park S, Lee B, Yoon S (2013) In-depth analysis of interrelation between quality scores and real errors in Illumina reads Conf Proc IEEE Eng Med Biol Soc 2013:635-638 doi:10.1109/EMBC.2013.6609580
  12. Li F, Hullar MA, Lampe JW (2007) Optimization of terminal restriction fragment polymorphism (TRFLP) analysis of human gut microbiota J Microbiol Methods 68:303-311 doi:10.1016/j.mimet.2006.09.006
  13. Loman NJ, Misra RV, Dallman TJ, Constantinidou C, Gharbia SE, Wain J, Pallen MJ (2012) Performance comparison of benchtop high-throughput sequencing platforms Nature biotechnology 30:434-439 doi:10.1038/nbt.2198
  14. Peng X, Yu KQ, Deng GH, Jiang YX, Wang Y, Zhang GX, Zhou HW (2013) Comparison of direct boiling method with commercial kits for extracting fecal microbiome DNA by Illumina sequencing of 16S rRNA tags J Microbiol Methods 95:455-462 doi:10.1016/j.mimet.2013.07.015
  15. Quast C, Pruesse E, Yilmaz P, Gerken J, Schweer T, Yarza P, Peplies J, Glockner FO (2013) The SILVA ribosomal RNA gene database project: improved data processing and web-based tools Nucleic Acids Res 41:D590-596 doi:10.1093/nar/gks1219
  16. Rapp D, Waller J, Brightwell G, Muirhead RW (2010) Lyophilization prior to direct DNA extraction from bovine feces improves the quantification of Escherichia coli O157:H7 and Campylobacter jejuni Appl Environ Microbiol 76:1686-1688 doi:10.1128/AEM.01866-09
  17. Salonen A, Nikkila J, Jalanka-Tuovinen J, Immonen O, Rajilic-Stojanovic M, Kekkonen RA, Palva A, de Vos WM (2010) Comparative analysis of fecal DNA extraction methods with phylogenetic microarray: effective recovery of bacterial and archaeal DNA using mechanical cell lysis J Microbiol Methods 81:127-134 doi:10.1016/j.mimet.2010.02.007
  18. Schirmer M, Ijaz UZ, D'Amore R, Hall N, Sloan WT, Quince C (2015) Insight into biases and sequencing errors for amplicon sequencing with the Illumina MiSeq platform Nucleic Acids Res 43:e37 doi:10.1093/nar/gku1341
  19. Schloss PD, Westcott SL, Ryabin T, Hall JR, Hartmann M, Hollister EB, Lesniewski RA, Oakley BB, Parks DH, Robinson CJ, Sahl JW, Stres B, Thallinger GG, Van Horn DJ, Weber CF (2009) Introducing mothur: open-source, platform-independent, community-supported software for describing and comparing microbial communities Appl Environ Microbiol 75:7537-7541 doi:10.1128/AEM.01541-09
  20. Unno T (2015) Bioinformatic Suggestions on MiSeq-Based Microbial Community Analysis J Microbiol Biotechnol 25:765-770 https://doi.org/10.4014/jmb.1409.09057
  21. Zhan A, Xiong W, He S, Macisaac HJ (2014) Influence of artifact removal on rare species recovery in natural complex communities using highthroughput sequencing PLoS One 9:e96928 doi:10.1371/journal.pone.0096928
  22. Zhang J, Kobert K, Flouri T, Stamatakis A (2014) PEAR: a fast and accurate Illumina Paired-End reAd mergeR Bioinformatics 30:614-620 doi:10.1093/bioinformatics/btt593