Abstract

SummaryReliability and reproducibility of transcriptomics‐based studies are dependent on RNA integrity. In microbial ecology, microfluidics‐based techniques, such as the Ribosomal Integrity Number (RIN), targeting rRNA are currently the only approaches to evaluate RNA integrity. However, the relationship between rRNA and mRNA integrity is unknown. Here, we present an integrity index, the Ratio Amplicon, R amp, adapted from human clinical studies, to directly monitor mRNA integrity from complex environmental samples. We show, in a suite of experimental degradations of RNA extracted from sediment, that while the RIN generally reflected the degradation status of RNA the R amp mapped mRNA degradation better. Furthermore, we examined the effect of degradation on transcript community structure by amplicon sequencing of 16S rRNA, amoA and glnA transcripts. We successfully sequenced transcripts for all three targets even from highly‐degraded RNA samples. While RNA degradation changed the community structure of the mRNA profiles, no changes were observed for the 16S rRNA transcript profiles. Since both RT‐Q‐PCR and sequencing results were obtained, even from highly degraded samples, we strongly recommend evaluating RNA integrity prior to downstream processing to ensure meaningful results. For this, both the RIN and R amp are useful, with the R amp better evaluating mRNA integrity in this study.

Highlights

  • Reliability and reproducibility of transcriptomics-based studies are highly dependent on the integrity of RNA

  • We showed in a suite of experimental degradations of RNA extracted from sediment that while the RNA Integrity Number (RIN) in general did reflect the degradation status of the RNA well the Ratio Amplicon (Ramp) mapped messenger RNA (mRNA) degradation better as reflected by changes in Reverse Transcriptase Quantitative PCR (RT-Q40 PCR) results

  • Since 693 most transcriptomics studies are interested in the metabolic function and mRNA, it would be preferable to have an integrity index to target the mRNA

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Summary

Introduction

Reliability and reproducibility of transcriptomics-based studies are highly dependent on the integrity of RNA. Meaningful and reproducible results can only be obtained when working with good quality, intact RNA, whether it is eukaryotic RNA [6,7,8,9] or Prokaryotic RNA [10] As such an initial quality check of extracted RNA, not least from complex environmental microbial communities should be the essential first step before proceeding to any downstream applications. This quality check would help to ensure that any differences observed between samples are due to actual changes in gene expression rather than differences in samples integrity as a result of degradation. As highlighted above, even if reported, a shortcoming for RIN/RQI algorithms is that they are primarily based on rRNA (16S/23S ratio) which may degrade differently from mRNAs; the relevance of such indexes for gene expression analysis is unknown

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