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Thread | Thread Starter | Forum | Replies | Last Post |
16S vs shotgun | fanli | Metagenomics | 0 | 04-08-2016 11:23 AM |
16s v3 | Genohub | Service Providers | 0 | 06-19-2014 08:12 PM |
From 16S to genome | Krosh | Bioinformatics | 3 | 09-12-2013 08:08 AM |
Metagenomics (not 16s!) | microgirl123 | Illumina/Solexa | 11 | 06-26-2013 02:06 PM |
Quantitative 16S profiling with multiple 16S genes per genome | AaronS | Metagenomics | 1 | 10-26-2012 01:16 PM |
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#1 |
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I often see in studies that whenever people prepare samples for 16S sequencing there's often a line which says that each sample was amplified in triplicates.
Why? Is there any paper out there which explains the need for having 16S samples in triplicates? I couldn't find anything informative... I understand why somebody would make triplicates in cases where the amplification for that sample would fail due to technical issues. You'd end up with less samples and have to repeat some maybe, but from an analysis point of view, is there really a need? Is it to potentially average out the variation caused during amplification or sequencing? Any papers showing this effect? It's not an issue if your sample size is small, but if you are dealing with 1000s of samples, it does get quite costly in terms of PCR/adapter oligo synthesis and PCR mix quantities. Just trying to avoid unnecessary cost... Last edited by lorendarith; 08-12-2016 at 10:12 AM. |
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#2 |
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You should amplify your sample more than once because the seqs that get amplified in the first few rounds of amplification will dominate the amplicion pool. Since this is random, more common seqs should be among the first amplified but sometimes they aren't. The more reactions you initialize the more often you should see the "true" most abundant seqs being the most abundant at the end of PCR.
To minimize costs, you can reduce reaction volumes. Google "16s triplicate pcr" for lots of papers to cite. *"true" is a very lofty goal for 16S surveys but lets just go with it) |
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#3 | |||
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If this particular case of PCR template bias is a thing, how come just three reactions would be enough to solve this issue? This would be heavily dependent on the complexity of the template DNA. I would imagine that in this case you'd need way more PCR reactions for soil samples than for human gut samples as an example. Yet studies on both settle for just 3 replicate reactions. There are countless 16S seq protocols which use triplicate reactions yet almost none of them explain why, not even if a single reference. The only paper I found which tries to look at triplicate vs. single reactions: Evaluating Bias of Illumina-Based Bacterial 16S rRNA Gene Profiles Katherine Kennedy, Michael W. Hall, Michael D. J. Lynch, Gabriel Moreno-Hagelsieb, and Josh D. Neufeld Appl. Environ. Microbiol. September 2014 80:18 5717-5722 says: Quote:
Continuing: Quote:
Bias in Template-to-Product Ratios in Multitemplate PCR Martin F. Polz and Colleen M. Cavanaugh Appl. Environ. Microbiol. October 1998 I'm just baffled at the lack of evidence for this practice. Figured that by now somebody could have at least taken different mock community (increasing in complexity) and amplified it in several reactions and different numbers of pools to demonstrate this particular effect, given the advance in sequencing as well as computational methods for analyses we just witnessed. Multiple companies boast about these new polymerases with decreased error rates and biases. I would find it very weird all these advances would not impact this particular pooling practice. Last edited by lorendarith; 08-15-2016 at 05:08 AM. |
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#4 |
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I think this may be one of the papers you're seeking out: Sequence Depth, Not PCR Replication, Improves Ecological Inference from Next Generation DNA Sequencing
The authors assess the relationship between pooled PCR replicates and diversity metrics for 16S profiling on both the 454 and the MiSeq and show little benefit to replicate PCR. |
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