RNASeq: Adapter Trimming Rubisco small subunit appears as an overrepresentative sequence
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24 months ago
VenGeno ▴ 100

Hi,

I am working with an Arabidopsis dataset generated using the Illumina TrueSeq lib prep and single read. kit and they are. When I run FASTQc it detects the following; enter image description here

Then I ran the TrimGalore default setting and I get the followingenter image description here

This sample was multiplexed with TAACCG (indices), ATTGGC(indices primer). I have two questions;

  1. It shows an overrepresentation of Rubisco small subunits . What is the best way to handle this?
  2. Is it ok to custom trim ATAAAGTTTTGAGGTTTACACAAAAGCAAAGGGAAATTAACCGGTGAAGC sequence?

Thanks in advance.

FastQC TrimGalore • 680 views
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24 months ago
GenoMax 141k

Any specific reason you are worried about a legit sequence? It is not going to cause any issues if it stays and gets counted. Assume this is RNAseq? But to answer your second question you could trim any custom sequence with most trimming tools.

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Strangely none of the sequence sets I came across before had such rubisco overrepresentation. That's the reason why I was worried. Regarding the indices primer should I trim the whole sequence including the "GTGAAGC" that appears downstream? Usu. we get adapter trimmed clean sequences from the sequencing provider except for this time.

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Rubisco has only ~24K reads so compared to full dataset so that is probably a small fraction of data?

Since this sample was prepared with a standard illumina kit, the index sequences are not going to be present in main reads. Index reads are sequenced separately and are only used during demultiplexing. At that time index sequences are transferred to fastq header of demultiplexed data.

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Thank you GenoMax . As you suggested, I will proceed without trimming polyT, Rubisco, and index primer detected above.

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