High-throughput sequencing of microbial diversity in implant-associated infection.

Abstract Few molecular studies have shown that the number of bacterial species in implant-associated infection may have been underestimated. To determine the actual microbial diversity in implant-associated infection, a high-throughput sequencing method was adopted to sequence the DNAs extracted from the tissues of infected and uninfected patients. Principal component analysis (PCA) and β diversity showed an obvious divergence of infected and uninfected groups, and that the overgrowth of Proteobacteria (80.87%), Firmicutes (13.41%) in the positive deep infection group (P.d, via biopsy) and Proteobacteria (91.68%) in the positive surface infection group (P.s, via swabs) might be the causative factors in implant-associated infection. Moreover, Venn results indicated that a mean of 330 common operational taxonomic units (OTUs) was obtained in all groups, of which 113, 109, 45, 20, 13 and 12 OTUs belonging to Proteobacteria , Actinobacteria , Acidobacteria , Planctomycetes , Gemmatimonadetes and Chloroflexi were identified. In conclusion, many traditional “pathogenic bacteria” were identified as the common bacteria in operation sites, and the disruption of their complex interaction caused infection; therefore, further work is need to illustrate the aetiology of implant-associated infection using in-depth systems-level analyses.