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Reply Re: “Amniotic fluid from healthy term pregnancies does not harbor a detectable microbial community”
Microbiome volume 7, Article number: 21 (2019)
How and when a newborn is first colonized by microbes continues to be of great interest due to its broad implications on human health and disease. Payne et al. express their opinion about our recent study in which we characterized the virome and bacterial microbiota of amniotic fluid from 24 uncomplicated term pregnancies. We conducted additional validation studies and respond to their comments. We conclude that in amniotic fluid from healthy term pregnancies, the bacterial microbiota is indistinguishable from contamination controls, and there is no evidence of a core virome.
How and when a newborn is first colonized by microbes continues to be of great interest due to its broad implications on human health and disease . Payne et al. express their opinion about our recent study in which we characterized the virome and bacterial microbiota of amniotic fluid from 24 uncomplicated term pregnancies. We failed to identify a population of bacterial microbiota which was statistically different in concentration or content from the sequences amplified in the negative controls. Additionally, we found sparse viral reads and no evidence for a core viral community across samples.
Payne et al. comment that our findings contradict two prior studies on the amniotic fluid bacterial microbiome [2, 3]. However, these studies have important distinctions from our study of healthy term pregnancies. First, Urushiyama et al. studied amniotic fluid from women with varying degrees of placental inflammation. A major conclusion from their study is that the microbial profile in amniotic fluid of Blanc’s classification stage III chorioamnionitis may have diagnostic applications . Chorioamnionitis, characterized by intrauterine inflammation or bacterial infection, has a vastly different placental histopathology and inflammatory cytokine microenvironment than healthy term pregnancies . Second, Collado et al. does not include similar negative controls to assess sample extraction and preparation contamination. Third, a recent study by Rehbinder et al. demonstrated that by culture, 16S rRNA gene quantification (digital droplet), and 16S rRNA sequencing, amniotic fluid obtained from term pregnancies in which membranes are not ruptured cannot be distinguished from negative controls . Therefore, taken together, maternal health likely has a major impact on the developing fetus’ first microbial exposure.
On the technical merits of the study, Payne et al. argue that (A) the sample collection was biased against bacterial cells, (B) a SYBR green 16S qPCR is more appropriate, (C) the presence of human DNA may confound 16S qPCR results, and (D) samples with fewer than 5000 16S rRNA gene sequencing reads should not have been omitted. To demonstrate that the brief, low-speed centrifugation (1620 g for 5 min at 4 °C) does not bias against bacterial cells, we prospectively obtained amniotic fluid from two women with full term gestations undergoing planned C-section prior to the onset of labor. The amniotic fluid was obtained in a sterile fashion at the time of C-section by aspirating through intact amniotic membranes as described in the original study . Amniotic fluid was divided into two aliquots: one aliquot was centrifuged at 1620g for 5 min at 4 °C (as performed in the original study ) and the second aliquot was not centrifuged. The amniotic fluid aliquots were subjected to the same extraction technique and 16S rRNA gene qPCR as in the original study . There was no statistically significant difference in 16S rRNA copy numbers between amniotic fluid that did or did not undergo low-speed centrifugation (1620g for 5 min at 4 °C) (Fig. 1). The 16S rRNA gene qPCR assay performed here and in the original study  was indeed performed with Fast SYBR Green Master Mix (Thermo Fisher). We apologize for this error and have corrected this in a corrigendum . Non-specific amplification of human DNA by “broad-range” qPCR assays indeed has been reported , potentially yielding over-estimates of the bacterial load in low biomass samples. We reiterate that there was no statistically significant difference between the 16S rRNA gene copy number of buffer negative controls and amniotic fluid from uncomplicated term pregnancies , so controlling for possible overestimation by non-specific amplification of human DNA is not needed. This illustrates the importance of appropriate negative controls in microbiome studies. Finally, sequencing depth influences the accuracy of ecological measurements . The seven samples omitted from 16S rRNA gene analyses had low sequencing reads after quality filter and OTU clustering (five amniotic fluid samples, 4108, 0, 0, 159, and 1421 OTU sequences; one water control, 2439 OTU sequences; one buffer control, 1754 OTU sequences). Given the 16S rRNA gene qPCR data, we believe that this is due to the low microbial biomass of the samples. Payne et al. also argue that contamination should be relatively consistent across negative controls. Our data, however, suggest the stochastic nature of contamination and affirm the inherent challenges of sequencing low biomass samples. Thus, for these reasons, we conclude that the study was performed in accordance with microbiome best practices.
Payne et al. state that “the authors have only included OTUs in their analyses that originated from bacterial reads which were detected in the amniotic fluid samples and not in the blank extraction or PCR controls, regardless of the levels at which they were detected (Fig. 2)”. On the contrary, the data in the 16S rRNA gene analyses shown in Fig. 2a–c (OTU richness, diversity, and PCoA) of  includes all OTUs, not just those unique to amniotic fluid. Therefore, Fig. 2c of , in addition to Figure 1 of , shows that there is no statistically significant difference between the bacterial microbiota detected in amniotic fluid and buffer controls by either quantity or community content. As stated in the original study, subtraction of control-derived bacterial reads was only performed for the analysis shown in Fig. 2d of , which demonstrated the presence of low abundant rare bacterial OTUs unique to the amniotic fluid which were not frequently detected across the other amniotic fluid specimens.
In summary, our original paper , a recent publication from another group , and the data provided here converge on our original conclusions that “the most parsimonious explanation for our inability to find differences is that amniotic fluid of healthy term pregnancies has negligible bacterial biomass.” Further, “based on these analyses, we provisionally conclude that the term infant is not normally exposed to bacterial or viral populations in the immediate pre-birth interval”.
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Lim ES, Rodriguez C, and Holtz LR. Correction to: Amniotic fluid from healthy term pregnancies does not harbor a detectable microbial community. Microbiome. 2019; https://doi.org/10.1186/s40168-019-0641-6.
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This work was supported in part by the Children’s Discovery Institute (MD-FR-2013-292), Doris Duke Charitable Foundation (2017076), March of Dimes (BOC 388999), the Women and Infant Health Consortium program at Washington University which is supported in part by the Washington University Institute of Clinical and Translational Sciences by the NIH/National Center for Advancing Translational Sciences (NCATS), CTSA grant UL1TR000448, NIH grant R00 DK107923 and Arizona State University startup funding (ESL).
Availability of data and materials
Sequence data from the original study has been deposited to the NCBI Sequence Read Archive under BioProject accession number SRP128680.
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The institutional review board at Washington University School of Medicine approved the study. Subjects provided informed consent to be included in the Women and Infants Health Specimen Consortium biobank at Washington University.
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Please see related article: https://doi.org/10.1186/s40168-019-0641-6.
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Lim, E.S., Rodriguez, C. & Holtz, L.R. Reply Re: “Amniotic fluid from healthy term pregnancies does not harbor a detectable microbial community”. Microbiome 7, 21 (2019). https://doi.org/10.1186/s40168-019-0640-7