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. 2022 Apr 27;12:6875. doi: 10.1038/s41598-022-10869-7

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© The Author(s) 2022

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

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Microbial detection varies by method used. (A) Principal component analysis illustrating sample variance between water (blue) and amniotic fluid (red). (B) Bar graph showing the number of genera detected using our method (blue), IDSeq at different thresholds (orange), and 16S sequencing (green). (C) Venn diagrams comparing the number of genera, families, and classes detected in amniotic fluid samples using our method (blue), IDSeq (orange), and 16S sequencing (green). (D) EvaGreen 16S rDNA droplet digital PCR box plot comparing total volume of bacterial rDNA signatures in water controls and amniotic fluid (p > 0.05 for difference).