1887

Abstract

High-throughput sequencing has become a standard tool for transcriptome analysis. The depletion of overrepresented RNA species from sequencing libraries plays a key role in establishing potent and cost-efficient RNA-seq routines. Commercially available kits are known to obtain good results for the reduction of ribosomal RNA (rRNA). However, we found that the transfer-messenger RNA (tmRNA) was frequently highly abundant in rRNA-depleted samples of , consuming up to 25 % of the obtained reads. The tmRNA fraction was particularly high in samples taken from stationary cultures. This suggests that overrepresentation of this RNA species reduces the mRNA fraction when cells are grown under challenging conditions. Here, we present an RNase-H-based depletion protocol that targets the tmRNA in addition to ribosomal RNAs. We were able to increase the mRNA fraction to 93–99% and therefore outperform not only the commercially Ribo-off kit (Vazyme) operating by the same principle but also the formerly widely used Ribo-Zero kit (Illumina). Maximizing the read share of scientifically interesting RNA species enhances the discriminatory potential of next-generation RNA-seq experiments and, therefore, can contribute to a better understanding of the transcriptomic landscape of bacterial pathogens and their used mechanisms in host infection.

Funding
This study was supported by the:
  • Bundesministerium für Bildung und Forschung (Award 03ZZ0816D)
    • Principle Award Recipient: Susanne Häussler
  • This is an open-access article distributed under the terms of the Creative Commons Attribution License.
Loading

Article metrics loading...

/content/journal/acmi/10.1099/acmi.0.000159
2020-09-09
2024-04-19
Loading full text...

Full text loading...

/deliver/fulltext/acmi/2/10/acmi000159.html?itemId=/content/journal/acmi/10.1099/acmi.0.000159&mimeType=html&fmt=ahah

References

  1. Kris A. Wetterstrand. DNA sequencing costs: data. https://www.genome.gov/about-genomics/fact-sheets/DNA-Sequencing-Costs-Data ; 2019
  2. Kim IV, Ross EJ, Dietrich S, Döring K, Sánchez Alvarado A, Kuhn C-D et al. Efficient depletion of ribosomal RNA for RNA sequencing in planarians. BMC Genomics 2019; 20:909 [View Article][PubMed]
    [Google Scholar]
  3. Li S-K, Zhou J-W, Yim AK-Y, Leung AK-Y, Tsui SK-W et al. Organism-specific rRNA capture system for application in next-generation sequencing. PLoS One 2013; 8:e74286 [View Article][PubMed]
    [Google Scholar]
  4. O'Neil D, Glowatz H, Schlumpberger M. Ribosomal RNA depletion for efficient use of RNA-Seq capacity. Curr Protoc Mol Biol 2013; Chapter 4:Unit 4.19 [View Article][PubMed]
    [Google Scholar]
  5. Archer SK, Shirokikh NE, Preiss T. Selective and flexible depletion of problematic sequences from RNA-seq libraries at the cDNA stage. BMC Genomics 2014; 15:401 [View Article][PubMed]
    [Google Scholar]
  6. Yi H, Cho Y-J, Won S, Lee J-E, Jin Yu H et al. Duplex-specific nuclease efficiently removes rRNA for prokaryotic RNA-seq. Nucleic Acids Res 2011; 39:e140 [View Article][PubMed]
    [Google Scholar]
  7. Petrova OE, Garcia-Alcalde F, Zampaloni C, Sauer K. Comparative evaluation of rRNA depletion procedures for the improved analysis of bacterial biofilm and mixed pathogen culture transcriptomes. Sci Rep 2017; 7:41114 [View Article][PubMed]
    [Google Scholar]
  8. Hornischer K, Khaledi A, Pohl S, Schniederjans M, Pezoldt L et al. BACTOME-a reference database to explore the sequence- and gene expression-variation landscape of Pseudomonas aeruginosa clinical isolates. Nucleic Acids Res 2019; 47:D716–D720 [View Article][PubMed]
    [Google Scholar]
  9. Lee SY, Bailey SC, Apirion D. Small stable RNAs from Escherichia coli: evidence for the existence of new molecules and for a new ribonucleoprotein particle containing 6S RNA. J Bacteriol 1978; 133:1015–1023 [View Article][PubMed]
    [Google Scholar]
  10. Keiler KC, Waller PR, Sauer RT. Role of a peptide tagging system in degradation of proteins synthesized from damaged messenger RNA. Science 1996; 271:990–993 [View Article][PubMed]
    [Google Scholar]
  11. Adiconis X, Borges-Rivera D, Satija R, DeLuca DS, Busby MA et al. Comparative analysis of RNA sequencing methods for degraded or low-input samples. Nat Methods 2013; 10:623–629 [View Article][PubMed]
    [Google Scholar]
  12. Marmur J, Doty P. Determination of the base composition of deoxyribonucleic acid from its thermal denaturation temperature. J Mol Biol 1962; 5:109–118 [View Article][PubMed]
    [Google Scholar]
  13. Altschul SF, Gish W, Miller W, Myers EW, Lipman DJ. Basic local alignment search tool. J Mol Biol 1990; 215:403–410 [View Article][PubMed]
    [Google Scholar]
  14. Langmead B, Salzberg SL. Fast gapped-read alignment with Bowtie 2. Nat Methods 2012; 9:357–359 [View Article][PubMed]
    [Google Scholar]
  15. Liao Y, Smyth GK, Shi W. featureCounts: an efficient general purpose program for assigning sequence reads to genomic features. Bioinformatics 2014; 30:923–930 [View Article][PubMed]
    [Google Scholar]
http://instance.metastore.ingenta.com/content/journal/acmi/10.1099/acmi.0.000159
Loading
/content/journal/acmi/10.1099/acmi.0.000159
Loading

Data & Media loading...

Supplements

Supplementary material 1

PDF

Supplementary material 2

EXCEL
This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error