Unique k -mers as Strain-Specific Barcodes for Phylogenetic Analysis and Natural Microbiome Profiling
The need for a comparative analysis of natural metagenomes stimulated the development of new methods for their taxonomic profiling. Alignment-free approaches based on the search for marker -mers turned out to be capable of identifying not only species, but also strains of microorganisms with known g...
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Published in: | International journal of molecular sciences Vol. 21; no. 3; p. 944 |
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Main Authors: | , , |
Format: | Journal Article |
Language: | English |
Published: |
Switzerland
MDPI AG
31-01-2020
MDPI |
Subjects: | |
Online Access: | Get full text |
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Summary: | The need for a comparative analysis of natural metagenomes stimulated the development of new methods for their taxonomic profiling. Alignment-free approaches based on the search for marker
-mers turned out to be capable of identifying not only species, but also strains of microorganisms with known genomes. Here, we evaluated the ability of genus-specific
-mers to distinguish eight phylogroups of
(A, B1, C, E, D, F, G, B2) and assessed the presence of their unique 22-mers in clinical samples from microbiomes of four healthy people and four patients with Crohn's disease. We found that a phylogenetic tree inferred from the pairwise distance matrix for unique 18-mers and 22-mers of 124 genomes was fully consistent with the topology of the tree, obtained with concatenated aligned sequences of orthologous genes. Therefore, we propose strain-specific "barcodes" for rapid phylotyping. Using unique 22-mers for taxonomic analysis, we detected microbes of all groups in human microbiomes; however, their presence in the five samples was significantly different. Pointing to the intraspecies heterogeneity of
in the natural microflora, this also indicates the feasibility of further studies of the role of this heterogeneity in maintaining population homeostasis. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 1422-0067 1661-6596 1422-0067 |
DOI: | 10.3390/ijms21030944 |