ArticleApplied and environmental microbiology2006
Use of single-point genome signature tags as a universal tagging method for microbial genome surveys.
Article in Applied and environmental microbiology, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
5 citing papers in PubMed.
- Halomonas sp for sustainable agriculture a potential halo bio fertilizer for tomato plants with biocontrol activity against Fusarium wilt under saline environments.Scientific reports · 2025Article
- Understanding vaginal microbiome complexity from an ecological perspective.Translational research : the journal of laboratory and clinical medicine · 2012Review
- Vaginal microbiome: rethinking health and disease.Annual review of microbiology · 2012Review
- A universal method for the identification of bacteria based on general PCR primers.Indian journal of microbiology · 2011Article
- Genome survey and characterization of endophytic bacteria exhibiting a beneficial effect on growth and development of poplar trees.Applied and environmental microbiology · 2009Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
We developed single-point genome signature tags (SP-GSTs), a generally applicable, high-throughput sequencing-based method that targets specific genes to generate identifier tags from well-defined points in a genome. The technique yields identifier tags that can distinguish between closely related bacterial strains and allow for the identification of microbial community members. SP-GSTs are determined by three parameters: (i) the primer designed to recognize a conserved gene sequence, (ii) the anchoring enzyme recognition sequence, and (iii) the type IIS restriction enzyme which defines the tag length. We evaluated the SP-GST method in silico for bacterial identification using the genes rpoC, uvrB, and recA and the 16S rRNA gene. The best distinguishing tags were obtained with the restriction enzyme Csp6I upstream of the 16S rRNA gene, which discriminated all organisms in our data set to at least the genus level and most organisms to the species level. The method was successfully used to generate Csp6I-based tags upstream of the 16S rRNA gene and allowed us to discriminate between closely related strains of Bacillus cereus and Bacillus anthracis. This concept was further used successfully to identify the individual members of a defined microbial community.
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Registered trials
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