A novel high-resolution single locus sequence typing scheme for mixed populations of Propionibacterium acnes in vivo.
Title | A novel high-resolution single locus sequence typing scheme for mixed populations of Propionibacterium acnes in vivo. |
Publication Type | Journal Article |
Year of Publication | 2014 |
Authors | Scholz, CFP, Jensen, A, Lomholt, HB, Brüggemann, H, Kilian, M |
Journal | PLoS One |
Volume | 9 |
Issue | 8 |
Pagination | e104199 |
Date Published | 2014 |
ISSN | 1932-6203 |
Keywords | Bacterial Typing Techniques, Genetic Loci, Genomics, Humans, Microbiota, Propionibacterium acnes, Sequence Analysis, Species Specificity |
Abstract | The Gram-positive anaerobic bacterium Propionibacterium acnes is a prevalent member of the normal skin microbiota of human adults. In addition to its suspected role in acne vulgaris it is involved in a variety of opportunistic infections. Multi-locus sequence-typing (MLST) schemes identified distinct phylotypes associated with health and disease. Being based on 8 to 9 house-keeping genes these MLST schemes have a high discriminatory power, but their application is time- and cost-intensive. Here we describe a single-locus sequence typing (SLST) scheme for P. acnes. The target locus was identified with a genome mining approach that took advantage of the availability of representative genome sequences of all known phylotypes of P. acnes. We applied this SLST on a collection of 188 P. acnes strains and demonstrated a resolution comparable to that of existing MLST schemes. Phylogenetic analysis applied to the SLST locus resulted in clustering patterns identical to a reference tree based on core genome sequences. We further demonstrate that SLST can be applied to detect multiple phylotypes in complex microbial communities by a metagenomic pyrosequencing approach. The described SLST strategy may be applied to any bacterial species with a basically clonal population structure to achieve easy typing and mapping of multiple phylotypes in complex microbiotas. The P. acnes SLST database can be found at http://medbac.dk/slst/pacnes. |
DOI | 10.1371/journal.pone.0104199 |
Alternate Journal | PLoS One |
PubMed ID | 25111794 |
PubMed Central ID | PMC4128656 |