Ribotyping Staphylococcus epidermidis Using Probabilistic Sequence Analysis and Levenshtein Distance Algorithm

Staphylococcus epidermidis (S. epidermidis) live in different human locations and natural environments. For ribotyping S. epidermidis sub-species, 2507 PCR-amplified reads of 16S rRNA genes of S. epidermidis in a public dataset were used for probabilistic sequence analysis. A sequence probability logo (sequence pLogo) as a reference sequence of 16S rRNA genes of S. epidermidis was constructed. Through implementation of Levenshtein Distance algorithm, two 20-base pairs (bp) motifs, commonly present in 2507 PCR-amplified reads, were identified. The top 38 S. epidermidis isolates, which carried 16S rRNA nucleotide domains that were made of different sequences but have high similarity scores to two 20-bp motifs, were found from 11 human, 8 animal, 9 plant and 10 environmental samples, indicating that these two 20-bp motifs were broadly present in diverse S. epidermidis isolates. Thirty-one PCR-amplified reads of 16S rRNA genes, which were currently not in the dataset, were utilized to verify the feasibility of using two 20-bp motifs for ribotyping S. epidermidis sub-species. S. epidermidis S1, S3, but not S2, isolates on the human scalp carried a 20-bp sequence domain with high similarities to a 20-bp motif in the sequence pLogo. The phylogenetic tree showed that S. epidermidis S1, S2 and S3 were not from a single common ancestor. Two newly identified 20-bp motifs here, thus, provided reference nucleotide residues for ribotyping S. epidermidis.

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Journal
Current Microbiology
Published
2025-01-10
DOI
https://doi.org/10.1007/s00284-024-04057-1
Primary Topic
Antimicrobial Resistance in Staphylococcus
Type
article
Field-Weighted Citation Impact
0.00

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article

Ribotyping Staphylococcus epidermidis Using Probabilistic Sequence Analysis and Levenshtein Distance Algorithm

Chengye Zhang, Han Liang Lim, Ryan Yuki Huang
Current Microbiology
Antimicrobial Resistance in Staphylococcus
article

Ribotyping Staphylococcus epidermidis Using Probabilistic Sequence Analysis and Levenshtein Distance Algorithm

Chengye Zhang, Han Liang Lim, Ryan Yuki Huang
article en

Abstract

Staphylococcus epidermidis (S. epidermidis) live in different human locations and natural environments. For ribotyping S. epidermidis sub-species, 2507 PCR-amplified reads of 16S rRNA genes of S. epidermidis in a public dataset were used for probabilistic sequence analysis. A sequence probability logo (sequence pLogo) as a reference sequence of 16S rRNA genes of S. epidermidis was constructed. Through implementation of Levenshtein Distance algorithm, two 20-base pairs (bp) motifs, commonly present in 2507 PCR-amplified reads, were identified. The top 38 S. epidermidis isolates, which carried 16S rRNA nucleotide domains that were made of different sequences but have high similarity scores to two 20-bp motifs, were found from 11 human, 8 animal, 9 plant and 10 environmental samples, indicating that these two 20-bp motifs were broadly present in diverse S. epidermidis isolates. Thirty-one PCR-amplified reads of 16S rRNA genes, which were currently not in the dataset, were utilized to verify the feasibility of using two 20-bp motifs for ribotyping S. epidermidis sub-species. S. epidermidis S1, S3, but not S2, isolates on the human scalp carried a 20-bp sequence domain with high similarities to a 20-bp motif in the sequence pLogo. The phylogenetic tree showed that S. epidermidis S1, S2 and S3 were not from a single common ancestor. Two newly identified 20-bp motifs here, thus, provided reference nucleotide residues for ribotyping S. epidermidis.

Current MicrobiologyVol. 82(2)
Brown University (US), National University of Malaysia (MY)
Brown University
Life in Land
Openalex Percentile: Top 99%
Antimicrobial Resistance in Staphylococcus
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Ribotyping Staphylococcus epidermidis Using Probabilistic Sequence Analysis and Levenshtein Distance Algorithm — Chengye Zhang, Han Liang Lim, et al. · Current Microbiology (2025) | TGRS Research Map | TGRS