Database Commons
Database Commons

a catalog of worldwide biological databases

Database Profile

P. acnes SLST database

General information

URL: http://medbac.dk/slst/pacnes
Full name:
Description: 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
Year founded: 2014
Last update:
Version:
Accessibility:
Accessible
Country/Region: Denmark

Classification & Tag

Data type:
DNA
Data object:
Database category:
Major species:
Keywords:

Contact information

University/Institution: Aarhus University
Address: Department of Biomedicine, Aarhus University, Aarhus, Denmark
City: Aarhus
Province/State:
Country/Region: Denmark
Contact name (PI/Team): Christian F. P. Scholz
Contact email (PI/Helpdesk): christian.scholz@microbiology.au.dk

Publications

25111794
A novel high-resolution single locus sequence typing scheme for mixed populations of Propionibacterium acnes in vivo. [PMID: 25111794]
Scholz CF, Jensen A, Lomholt HB, Brüggemann H, Kilian M.

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.

PLoS One. 2014:9(8) | 106 Citations (from Europe PMC, 2026-04-04)

Ranking

All databases:
1446/6932 (79.155%)
Phylogeny and homology:
64/305 (79.344%)
1446
Total Rank
103
Citations
8.583
z-index

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Record metadata

Created on: 2018-01-28
Curated by:
Mansoor Khan [2018-04-25]
Mansoor Khan [2018-04-24]
Mansoor Khan [2018-04-16]
Mansoor Khan [2018-04-11]
Yang Zhang [2018-01-28]