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Evaluation of 16S rRNA gene sequencing for species and strain-level microbiome analysis

Author

Listed:
  • Jethro S. Johnson

    (The Jackson Laboratory for Genomic Medicine)

  • Daniel J. Spakowicz

    (The Jackson Laboratory for Genomic Medicine
    Ohio State University Comprehensive Cancer Center)

  • Bo-Young Hong

    (The Jackson Laboratory for Genomic Medicine)

  • Lauren M. Petersen

    (The Jackson Laboratory for Genomic Medicine
    Dartmouth-Hitchcock Medical Center)

  • Patrick Demkowicz

    (The Jackson Laboratory for Genomic Medicine)

  • Lei Chen

    (The Jackson Laboratory for Genomic Medicine
    Shanghai Jaiotong University School of Medicine)

  • Shana R. Leopold

    (The Jackson Laboratory for Genomic Medicine)

  • Blake M. Hanson

    (The Jackson Laboratory for Genomic Medicine
    McGovern Medical School)

  • Hanako O. Agresta

    (The Jackson Laboratory for Genomic Medicine)

  • Mark Gerstein

    (Yale University)

  • Erica Sodergren

    (The Jackson Laboratory for Genomic Medicine)

  • George M. Weinstock

    (The Jackson Laboratory for Genomic Medicine)

Abstract

The 16S rRNA gene has been a mainstay of sequence-based bacterial analysis for decades. However, high-throughput sequencing of the full gene has only recently become a realistic prospect. Here, we use in silico and sequence-based experiments to critically re-evaluate the potential of the 16S gene to provide taxonomic resolution at species and strain level. We demonstrate that targeting of 16S variable regions with short-read sequencing platforms cannot achieve the taxonomic resolution afforded by sequencing the entire (~1500 bp) gene. We further demonstrate that full-length sequencing platforms are sufficiently accurate to resolve subtle nucleotide substitutions (but not insertions/deletions) that exist between intragenomic copies of the 16S gene. In consequence, we argue that modern analysis approaches must necessarily account for intragenomic variation between 16S gene copies. In particular, we demonstrate that appropriate treatment of full-length 16S intragenomic copy variants has the potential to provide taxonomic resolution of bacterial communities at species and strain level.

Suggested Citation

  • Jethro S. Johnson & Daniel J. Spakowicz & Bo-Young Hong & Lauren M. Petersen & Patrick Demkowicz & Lei Chen & Shana R. Leopold & Blake M. Hanson & Hanako O. Agresta & Mark Gerstein & Erica Sodergren &, 2019. "Evaluation of 16S rRNA gene sequencing for species and strain-level microbiome analysis," Nature Communications, Nature, vol. 10(1), pages 1-11, December.
  • Handle: RePEc:nat:natcom:v:10:y:2019:i:1:d:10.1038_s41467-019-13036-1
    DOI: 10.1038/s41467-019-13036-1
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    Cited by:

    1. Huilin Li & Hongzhe Li, 2021. "Introduction to Special Issue on Statistics in Microbiome and Metagenomics," Statistics in Biosciences, Springer;International Chinese Statistical Association, vol. 13(2), pages 197-199, July.
    2. Ugo De Corato, 2020. "Soil Microbiome Manipulation Gives New Insights in Plant Disease-Suppressive Soils from the Perspective of a Circular Economy: A Critical Review," Sustainability, MDPI, vol. 13(1), pages 1-41, December.
    3. Ying-Tzy Jou & Elmi Junita Tarigan & Cahyo Prayogo & Chesly Kit Kobua & Yu-Ting Weng & Yu-Min Wang, 2022. "Effects of Sphingobium yanoikuyae SJTF8 on Rice ( Oryza sativa ) Seed Germination and Root Development," Agriculture, MDPI, vol. 12(11), pages 1-15, November.
    4. Morten Kam Dahl Dueholm & Marta Nierychlo & Kasper Skytte Andersen & Vibeke Rudkjøbing & Simon Knutsson & Mads Albertsen & Per Halkjær Nielsen, 2022. "MiDAS 4: A global catalogue of full-length 16S rRNA gene sequences and taxonomy for studies of bacterial communities in wastewater treatment plants," Nature Communications, Nature, vol. 13(1), pages 1-15, December.
    5. Jianshi Jin & Reiko Yamamoto & Tadashi Takeuchi & Guangwei Cui & Eiji Miyauchi & Nozomi Hojo & Koichi Ikuta & Hiroshi Ohno & Katsuyuki Shiroguchi, 2022. "High-throughput identification and quantification of single bacterial cells in the microbiota," Nature Communications, Nature, vol. 13(1), pages 1-13, December.
    6. Lucas Moitinho-Silva & Frauke Degenhardt & Elke Rodriguez & Hila Emmert & Simonas Juzenas & Lena Möbus & Florian Uellendahl-Werth & Nicole Sander & Hansjörg Baurecht & Lukas Tittmann & Wolfgang Lieb &, 2022. "Host genetic factors related to innate immunity, environmental sensing and cellular functions are associated with human skin microbiota," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
    7. Simon A. Fromm & Kate M. O’Connor & Michael Purdy & Pramod R. Bhatt & Gary Loughran & John F. Atkins & Ahmad Jomaa & Simone Mattei, 2023. "The translating bacterial ribosome at 1.55 Å resolution generated by cryo-EM imaging services," Nature Communications, Nature, vol. 14(1), pages 1-9, December.

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