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miRNA-featuresCount: Unassigned_Ambiguity high value

Hello! :)

I have aligned my reads from SmallRNA sequencing with Botwie2 against genome (human, hg38) and with the options --end-to-end --very-sensitive and my reads were almost aligned (about 90%).

Then I used featuresCounts in order to obtain read summarization with the gff3 from miRBase (I have converted it into GTF with gffread):

featureCounts -T 5 -t exon -g transcript_id -a hsa.gtf -o counts.txt file.sam

This is the summary file in output (1):

Assigned    37200
Unassigned_Unmapped 2398401
Unassigned_MappingQuality   0
Unassigned_Chimera  0
Unassigned_FragmentLength   0
Unassigned_Duplicate    0
Unassigned_MultiMapping 0
Unassigned_Secondary    0
Unassigned_Nonjunction  0
Unassigned_NoFeatures   43583950
Unassigned_Overlapping_Length   0
Unassigned_Ambiguity    38946846

The number of assigned is very low.... I tried to use featuresCounts with the complete gtf from Gencode, and I obtained this result (2):

Assigned    33503995
Unassigned_Unmapped 2398401
Unassigned_MappingQuality   0
Unassigned_Chimera  0
Unassigned_FragmentLength   0
Unassigned_Duplicate    0
Unassigned_MultiMapping 0
Unassigned_Secondary    0
Unassigned_Nonjunction  0
Unassigned_NoFeatures   26792865
Unassigned_Overlapping_Length   0
Unassigned_Ambiguity    22271136

Lastly, I have taken the gtf from Gencode and I have eliminated the rows that contained "miRNA". The result (3):

Assigned    31544916
Unassigned_Unmapped 2398401
Unassigned_MappingQuality   0
Unassigned_Chimera  0
Unassigned_FragmentLength   0
Unassigned_Duplicate    0
Unassigned_MultiMapping 0
Unassigned_Secondary    0
Unassigned_Nonjunction  0
Unassigned_NoFeatures   47393496
Unassigned_Overlapping_Length   0
Unassigned_Ambiguity    3629584

As you can see the amount of "Unassigned_Ambiguity" in the case 2 was higher than case 3, and the amount of assigned in case 3 was higher than case 1.

Could you help me to understand what is happening? Are there specific parameters in featuresCount that I have to use with smallRNA data? I was expecting to obtained an higher amount of "Assigned" for miRNA...

Thank you in advance!

smallrna mirna featurescount bowtie2 mirbase

Have you also tried featureCounts with only miRNA entries from GTF from Gencode. That will gives us clear picture.

Thank you for your help! This is the output:

Assigned    37650812
Unassigned_Unmapped 2398401
Unassigned_MappingQuality   0
Unassigned_Chimera  0
Unassigned_FragmentLength   0
Unassigned_Duplicate    0
Unassigned_MultiMapping 0
Unassigned_Secondary    0
Unassigned_Nonjunction  0
Unassigned_NoFeatures   43583950
Unassigned_Overlapping_Length   0
Unassigned_Ambiguity    1333234

Therefore the problem is the conversion from GFF3 of miRBase to GTF?

Thank you in advance!

Then I guess the problem is with the annotation from miRBase.

Have you examined your alignments to make sure they look reasonable?

How were multi-mappers handled in your original alignments? See Wei Shi's explanation about those tags in this thread.

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