Macroscale spatial variation in chronic wound microbiota: a cross-sectional study - PubMed (original) (raw)
. 2011 Jan-Feb;19(1):80-8.
doi: 10.1111/j.1524-475X.2010.00628.x. Epub 2010 Oct 13.
Cindy M Liu, Yelena M Frankel, Johan H Melendez, Maliha Aziz, Jordan Buchhagen, Tania Contente-Cuomo, David M Engelthaler, Paul S Keim, Jacques Ravel, Gerald S Lazarus, Jonathan M Zenilman
Affiliations
- PMID: 20946140
- PMCID: PMC3022109
- DOI: 10.1111/j.1524-475X.2010.00628.x
Macroscale spatial variation in chronic wound microbiota: a cross-sectional study
Lance B Price et al. Wound Repair Regen. 2011 Jan-Feb.
Abstract
Controlling for sample site is considered to be an important aspect of chronic wound microbiological investigations; yet, macroscale spatial variation in wound microbiota has not been well characterized. A total of 31 curette samples were collected at the leading edge, opposing leading edge, and/or center of 13 chronic wounds. Bacterial community composition was characterized using a combination of 16S rRNA gene-based pyrosequencing; heat map display; hierarchical clustering; nonmetric multidimensional scaling; and permutation multivariate analysis of variance. A total of 58 bacterial families and 91 bacterial genera were characterized among the 13 wounds. While substantial macroscale spatial variation was observed among the wounds, bacterial communities at different sites within individual wounds were significantly more similar than those in different wounds (p=0.001). Our results support the prevalent opinion that controlling for sample site may improve the quality of wound microbiota studies; however, the significant similarity in bacterial communities from different sites within individual wounds indicates that studies failing to control for sampling site should not be disregarded based solely on this criterion. A composite sample from multiple sites across the surface of individual wounds may provide the most robust characterization of wound microbiota.
© 2010 by the Wound Healing Society.
Figures
Figure 1
Figure 1A. Heat map display of bacterial families comprising chronic wound microbiota (samples are grouped based on hierarchical clustering of bacterial communities). The color key for the number of sequences from each bacterial family is shown on the right. A = leading edge; B = apposing leading edge; C = center; Combined = simulated combined wound; TR01 and TR02 (1, 2, & 3) are technical replicates created by dividing a single curette sample into three equal parts prior to processing. Figure 1B. Heat map display of bacterial genera comprising chronic wound microbiota (samples are grouped based on hierarchical clustering of bacterial communities). The color key for the number of sequences from each bacterial family is shown on the right. (A = leading edge; B = apposing leading edge; C = center; Combined = simulated combined wound; TR01 and TR02 (1, 2, & 3) are technical replicates).
Figure 1
Figure 1A. Heat map display of bacterial families comprising chronic wound microbiota (samples are grouped based on hierarchical clustering of bacterial communities). The color key for the number of sequences from each bacterial family is shown on the right. A = leading edge; B = apposing leading edge; C = center; Combined = simulated combined wound; TR01 and TR02 (1, 2, & 3) are technical replicates created by dividing a single curette sample into three equal parts prior to processing. Figure 1B. Heat map display of bacterial genera comprising chronic wound microbiota (samples are grouped based on hierarchical clustering of bacterial communities). The color key for the number of sequences from each bacterial family is shown on the right. (A = leading edge; B = apposing leading edge; C = center; Combined = simulated combined wound; TR01 and TR02 (1, 2, & 3) are technical replicates).
Figure 2
Non-metric Multi-Dimensional Scaling (nMDS) plot of microbiota of wounds samples taken from different sites within the wounds. (A = leading edge; B = apposing leading edge; C = center; star = simulated combined wound; TR01 and TR02 (1, 2, & 3) are technical replicates).
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