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I think there's a simpler explanation

Posted by rlusk on 03 Aug 2013 at 16:26 GMT

Here's a short summary of what turned into a very long comment. I thought there was a simpler explanation that could also explain the evidence presented, and I have since done some experiments and believe that this alternative is more likely to be true.

In this work, the authors present examples of plant-derived DNA sequences in several independent studies of cell-free DNA. The problem here is that all of these examples suffer from the same shortcoming: namely, that contamination is hard to rule out when sensitive instruments are used to detect parts-per-million signal levels in samples that are already in the low ng/ml range (that is, very dilute).

The authors suggest that contamination can be avoided by good, but standard, laboratory practice and ruled out by independent replication. However, as is well established in forensics and paleogenetics, where dilute DNA samples such as these are much more common, DNA at low concentrations can often be found on 'clean' new equipment, plasticware, and reagents [1-6]. These trace contaminants are typically negligible, but when the intended sample is dilute, they can make up a detectable fraction of the total DNA ultimately used in the experiment. Laboratories that regularly work with dilute samples often take precautions far in excess of those taken here (e.g. UV-treatment of new reagents and positive-pressure rooms [7]), but, even so, allow that trace contaminants are difficult, maybe impossible, to eliminate [8,9].

One way to control for trace contaminants is to simply sequence a sample of purified water. For obvious time and money reasons, people don't typically do this, but in the one case that I could find [10], they recovered at least some apparently plant-derived DNA (see table S15 of that reference). So just how common are these plant DNA trace contaminants, and can they really explain the findings of this paper?

I was concerned about the potentially inflammatory conclusions drawn from these data when such a mundane explanation might serve just as well, so I decided to actually do the experiment myself-- using similar analysis methods to those described here, I looked for plant DNAs in other samples having no plausible connection with food, but sharing with this study a low concentration of DNA. It turned out that I was able to find plant DNAs in these samples as well, appearing at frequencies comparable to, even exceeding, the frequencies described in this paper.

Not only were these DNAs present, but the distribution of DNAs between samples in a single experiment also matched the distributions described here. In one such study, Navin et al [11] separately sequenced the genomes of 100 individual cells from a single tissue, each washed free of the others before preparation. Despite being drawn from the same source, the species of plant DNAs recovered from these samples were heterogeneous (for instance, some showed wheat, whereas others showed lettuce). The analysis I ran also, at least at first glance, appeared to duplicate the statistical properties observed here (fig. 3). Although these results are not immediately intuitive, they would not be surprising with the low concentrations we're dealing with here-- each contaminant might be represented by as little as one DNA molecule per sample, so we shouldn't expect all samples to share the same contaminants.

Finally, they show that while there are many plant-derived reads in maternal plasma, no such reads are detectable in cord blood. However, the proper comparison is between maternal blood and cord blood (full blood has a much higher concentration of DNA than plasma, eliminating the dilute sample issues discussed above). They find only one read in the maternal blood sample, so there is no significant difference between the two samples.

We're currently finishing up a manuscript describing these results in full, with an emphasis on how, especially when working with dilute samples, we need to take into account trace contaminants when analyzing high throughput sequencing data.

Rich Lusk
University of Michigan

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11. Tumour evolution inferred by single-cell sequencing.
Navin N, Kendall J, Troge J, Andrews P, Rodgers L, McIndoo J, Cook K, Stepansky A, Levy D, Esposito D, Muthuswamy L, Krasnitz A, McCombie WR, Hicks J, Wigler M.
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No competing interests declared.

RE: I think there's a simpler explanation

rlusk replied to rlusk on 06 Aug 2013 at 14:37 GMT

I forgot to list my contact information. For more details, you can reach me at:

<my PLoS username> at

No competing interests declared.

RE: I think there's a simpler explanation

itskathylam replied to rlusk on 04 Nov 2013 at 12:59 GMT

Thank you very much for posting this comment.

No competing interests declared.