Skin Microbiome Surveys Are Strongly Influenced by Experimental Design

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Skin Microbiome Surveys Are Strongly Influenced by Experimental Design Jacquelyn S. Meisel, Geoffrey D. Hannigan, Amanda S. Tyldsley, Adam J. SanMiguel, Brendan P. Hodkinson, Qi Zheng, Elizabeth A. Grice  Journal of Investigative Dermatology  Volume 136, Issue 5, Pages 947-956 (May 2016) DOI: 10.1016/j.jid.2016.01.016 Copyright © 2016 The Authors Terms and Conditions

Figure 1 Study design for analyzing cutaneous bacterial communities. (a) Seven skin sites were sampled from a healthy human cohort of nine volunteers. (b) DNA was isolated from cutaneous swabs and sequenced for downstream bioinformatics analyses. (c) Schematic illustrating the primers used for the two different targeted hypervariable regions on the 16S ribosomal RNA (rRNA) gene. Ac, antecubital fossa; Fh, forehead; Oc, occiput; Pa, palm; Ra, retroauricular crease; Tw, toe web; Um, umbilicus; WMS, whole metagenome shotgun. Journal of Investigative Dermatology 2016 136, 947-956DOI: (10.1016/j.jid.2016.01.016) Copyright © 2016 The Authors Terms and Conditions

Figure 2 Taxonomic profiles of cutaneous bacterial communities vary. (a) Heat map depicting relative abundances of the 20 bacterial species in the mock community control. Rows display bacterial species, and columns denote sequencing technique used for analysis. “Actual” refers to the expected abundance based on the community composition. Dendrogram (x-axis) clusters each sequencing type by similar taxonomic profiles. (b) Pie charts depicting the mean relative abundances of the top 15 taxa in the cutaneous samples. The innermost circle represents the V4 samples, the middle circle the V1–V3 samples, and the outermost whole metagenome shotgun (WMS) sequenced samples. Journal of Investigative Dermatology 2016 136, 947-956DOI: (10.1016/j.jid.2016.01.016) Copyright © 2016 The Authors Terms and Conditions

Figure 3 Species level classification of Staphylococcus sequences. (a) Bar plot of the total number of operational taxonomic units (OTUs) identified in cutaneous samples by V1–V3 and V4 sequencing, highlighting the number of OTUs named at the species level. (b) Mean relative abundance of Staphylococcus species identified by 16S tag sequencing of skin samples at >1%. (c–e) Relative abundance of Staphylococcus sequences able to be classified at the species level. (c) Staphylococcus species in the whole metagenome shotgun (WMS) sequencing dataset were classified using MetaPhlAn. (d, e) V1–V3 and V4 species level classifications were determined by pplacer. Pie charts depict the percentage of sequences classified as Staphylococcus at the genus level that were further classified at the species level. Journal of Investigative Dermatology 2016 136, 947-956DOI: (10.1016/j.jid.2016.01.016) Copyright © 2016 The Authors Terms and Conditions

Figure 4 16S predictions differ from whole metagenome functional enrichment. (a) Heat map depicting the log2 fold change of statistically significantly different KEGG categories (FDR corrected paired Wilcoxon test, P < 0.05) between 16S and whole metagenome shotgun (WMS) sequencing functional profiles. Purple depicts enrichment in WMS samples. Green depicts enrichment in the 16S samples. Each column represents a different sample and each row a KEGG pathway. The colors above the columns indicate sequencing of the V1–V3 (gray) or V4 (black) region of the 16S rRNA gene. (b) Box plots depicting mean relative abundances of significantly different KEGG pathways (FDR corrected paired Wilcoxon test, P < 0.05) between 16S and WMS functional profiles. Journal of Investigative Dermatology 2016 136, 947-956DOI: (10.1016/j.jid.2016.01.016) Copyright © 2016 The Authors Terms and Conditions

Figure 5 Cutaneous taxonomic and functional diversity trends depend on sequencing method. Shannon diversity of (a) taxonomic and (b) functional profiles for each sequencing technique presented by site microenvironment. Asterisks indicate significance of P < 0.05 using Kruskal-Wallis and multiple comparison post hoc tests. Box plots were calculated using the ggplot2 R package. (c) Procrustes analysis revealing congruence between NMDS ordinations of the V1–V3 (target) and V4 (rotated) Bray-Curtis dissimilarity matrices. Circles indicate V4 samples and diamonds indicate V1–V3 samples, with matched samples connected by a line. Shorter lines reflect greater clustering similarity. Journal of Investigative Dermatology 2016 136, 947-956DOI: (10.1016/j.jid.2016.01.016) Copyright © 2016 The Authors Terms and Conditions