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rRNA contamination in RNAseq datasets

Hello,

i searched in the forum but did not found a clear answer.

I have a certain number of bacteria RNA samples that were sequenced using an illumina paired end approach. The library construction illumina total RNA + ribodepletion were performed by the sequencing provider. By using FastQC and sortMeRNA I found that all datasets are contaminated with rRNA to different %. Some datasets have 1%, while others have 10%, 20% and some even 50%! I understand that there was an obvious problem with the rRNA depletion. Still, I have more than 20M reads mapping to transcripts, in principle 5M reads are sufficient for DEG analysis in bacteria. My questions are:

These datasets could be still be used for DEG analysis if i remove the rRNA reads ? In general how much rRNA contamination is tolerated ? Is there something published in the litterature about rRNA contamination issue for DEG analysis?

thank you very much

rna ribosomal contamination

there is no need to remove the rRNA reads.

  1. Map your reads against the reference genome and get a gene count
    table

  2. Remove the rRNA genes from the gene count table

  3. Normalize the data
  4. Run a PCA to see if you have any outlier

1 answer

Your question has been answered before: What % of rRNA contamination is acceptable?

10% of contamination is acceptable according to what discussed, but there is no article or study really reporting this threshold, and this is what I would like to find.

This is not simply about the rRNA % but what fraction of data remains, if you discount rRNA fraction. 10% of rRNA in a 1M reads is not the same as 10% of 5M aligned reads.Follow the recommendation by @andres and make an informed decision based on your data.

the number of reads that do not align to rRNA go from a minimum of 6M to a maximum of 45M and about 95-97% of them align to mRNA.

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