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Direct Detection Of Single-Nucleotide Polymorphisms In Bacterial DNA By SNPtrap

Gronlund, Hugo ; Moen, Birgitte ; Hoorfar, Jeffrey ; Rådström, Peter LU ; Malorny, Burkhard and Rudi, Knut (2011) In Preparative Biochemistry & Biotechnology 41(2). p.166-174
Abstract
A major challenge with single-nucleotide polymorphism (SNP) fingerprinting of bacteria and higher organisms is the combination of genome-wide screenings with the potential of multiplexing and accurate SNP detection. Single-nucleotide extension by the minisequencing principle represents a technology that both is highly accurate and enables multiplexing. A current bottleneck for direct genome analyses by minisequencing, however, is the sensitivity, since minisequencing relies on linear signal amplification. Here, we present SNPtrap, which is a novel approach that combines the specificity and possibility of multiplexing by minisequencing with the sensitivity obtained by logarithmic signal amplification by polymerase chain reaction (PCR). We... (More)
A major challenge with single-nucleotide polymorphism (SNP) fingerprinting of bacteria and higher organisms is the combination of genome-wide screenings with the potential of multiplexing and accurate SNP detection. Single-nucleotide extension by the minisequencing principle represents a technology that both is highly accurate and enables multiplexing. A current bottleneck for direct genome analyses by minisequencing, however, is the sensitivity, since minisequencing relies on linear signal amplification. Here, we present SNPtrap, which is a novel approach that combines the specificity and possibility of multiplexing by minisequencing with the sensitivity obtained by logarithmic signal amplification by polymerase chain reaction (PCR). We show a SNPtrap proof of principle in a model system for two polymorphic SNP sites in the Salmonella tetrathionate reductase gene (ttrC). (Less)
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author
; ; ; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
multiplex, Salmonella, SNP
in
Preparative Biochemistry & Biotechnology
volume
41
issue
2
pages
166 - 174
publisher
Taylor & Francis
external identifiers
  • wos:000288960600005
  • scopus:79953229607
  • pmid:21442552
ISSN
1532-2297
DOI
10.1080/10826068.2011.547366
language
English
LU publication?
yes
id
9e3a534a-3150-4284-bfac-6d9c90eb047a (old id 1918859)
date added to LUP
2016-04-01 13:10:56
date last changed
2022-01-27 17:50:56
@article{9e3a534a-3150-4284-bfac-6d9c90eb047a,
  abstract     = {{A major challenge with single-nucleotide polymorphism (SNP) fingerprinting of bacteria and higher organisms is the combination of genome-wide screenings with the potential of multiplexing and accurate SNP detection. Single-nucleotide extension by the minisequencing principle represents a technology that both is highly accurate and enables multiplexing. A current bottleneck for direct genome analyses by minisequencing, however, is the sensitivity, since minisequencing relies on linear signal amplification. Here, we present SNPtrap, which is a novel approach that combines the specificity and possibility of multiplexing by minisequencing with the sensitivity obtained by logarithmic signal amplification by polymerase chain reaction (PCR). We show a SNPtrap proof of principle in a model system for two polymorphic SNP sites in the Salmonella tetrathionate reductase gene (ttrC).}},
  author       = {{Gronlund, Hugo and Moen, Birgitte and Hoorfar, Jeffrey and Rådström, Peter and Malorny, Burkhard and Rudi, Knut}},
  issn         = {{1532-2297}},
  keywords     = {{multiplex; Salmonella; SNP}},
  language     = {{eng}},
  number       = {{2}},
  pages        = {{166--174}},
  publisher    = {{Taylor & Francis}},
  series       = {{Preparative Biochemistry & Biotechnology}},
  title        = {{Direct Detection Of Single-Nucleotide Polymorphisms In Bacterial DNA By SNPtrap}},
  url          = {{http://dx.doi.org/10.1080/10826068.2011.547366}},
  doi          = {{10.1080/10826068.2011.547366}},
  volume       = {{41}},
  year         = {{2011}},
}