Looking for advice on sequencing depth -- Milk samples

Good morning QIIME2 team!

My previous work has focused on metagenomic and 16S sequencing of the rumen microbiome. However, we have begun to work with some more challenging samples in terms of abundance, etc. Recently, we had a set of sheep milk samples sequenced and I wanted to get a few opinions from this group.

This is 16S data that was put on a Nano-run just to evaluate how the sequences looked as we had high cluster density but only 55% of the clusters passed filter. I didn’t expect things to go smoothly with milk samples and expected large variation but attached is the table-paired-end qzv and as you can see we have HUGE variation. Samples #52 and #69 are our controls (water and zymogen community) but all others are milk samples. Any advice as to where you would set sampling depth for this type of data? Would running on a full lane improve this output?

Thank you for any and all advice on this matter!
Hannah

table-paired-end2.qzv (559.7 KB)

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Hi @hcunnin6,
Those read counts do not look good! I recommend going back to dada2 to see if changing the truncation settings will allow you to milk out any more reads. :milk_glass:

If you just can’t get out any more reads by adjusting truncation parameters, I’d recommend resequencing, since it looks like you are losing too many samples right now.

I have not worked with ewe milk, but I have analyzed other milks (including human milk, which is probably as clean as it comes), and it can be challenging but not exactly a low biomass sample type, so these low read counts look more like an issue with dada2 truncation settings or with the low-quality sequencing run.

Good luck!

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