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SNP discovery by mismatch-targeting of Mu transposition

Single nucleotide polymorphisms (SNPs) represent a valuable resource for the mapping of human disease genes and induced mutations in model organisms. SNPs may become the markers of choice also for population ecology and evolutionary studies, but their isolation for non-model organisms with unsequenc...

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Detalles Bibliográficos
Autores principales: Orsini, Luisa, Pajunen, Maria, Hanski, Ilkka, Savilahti, Harri
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2007
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1874615/
https://www.ncbi.nlm.nih.gov/pubmed/17311815
http://dx.doi.org/10.1093/nar/gkm070
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author Orsini, Luisa
Pajunen, Maria
Hanski, Ilkka
Savilahti, Harri
author_facet Orsini, Luisa
Pajunen, Maria
Hanski, Ilkka
Savilahti, Harri
author_sort Orsini, Luisa
collection PubMed
description Single nucleotide polymorphisms (SNPs) represent a valuable resource for the mapping of human disease genes and induced mutations in model organisms. SNPs may become the markers of choice also for population ecology and evolutionary studies, but their isolation for non-model organisms with unsequenced genomes is often difficult. Here, we describe a rapid and cost-effective strategy to isolate SNPs that exploits the property of the bacteriophage Mu transposition machinery to target mismatched DNA sites and thereby to effectively detect polymorphic loci. To demonstrate the methodology, we isolated 164 SNPs from the unsequenced genome of the Glanville fritillary butterfly (Melitaea cinxia), a much-studied species in population biology, and we validated 24 of them. The strategy involves standard molecular biology techniques as well as undemanding MuA transposase-catalyzed in vitro transposition reactions, and it is applicable to any organism.
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spelling pubmed-18746152007-05-23 SNP discovery by mismatch-targeting of Mu transposition Orsini, Luisa Pajunen, Maria Hanski, Ilkka Savilahti, Harri Nucleic Acids Res Methods Online Single nucleotide polymorphisms (SNPs) represent a valuable resource for the mapping of human disease genes and induced mutations in model organisms. SNPs may become the markers of choice also for population ecology and evolutionary studies, but their isolation for non-model organisms with unsequenced genomes is often difficult. Here, we describe a rapid and cost-effective strategy to isolate SNPs that exploits the property of the bacteriophage Mu transposition machinery to target mismatched DNA sites and thereby to effectively detect polymorphic loci. To demonstrate the methodology, we isolated 164 SNPs from the unsequenced genome of the Glanville fritillary butterfly (Melitaea cinxia), a much-studied species in population biology, and we validated 24 of them. The strategy involves standard molecular biology techniques as well as undemanding MuA transposase-catalyzed in vitro transposition reactions, and it is applicable to any organism. Oxford University Press 2007-03 2007-02-20 /pmc/articles/PMC1874615/ /pubmed/17311815 http://dx.doi.org/10.1093/nar/gkm070 Text en © 2007 The Author(s) This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Methods Online
Orsini, Luisa
Pajunen, Maria
Hanski, Ilkka
Savilahti, Harri
SNP discovery by mismatch-targeting of Mu transposition
title SNP discovery by mismatch-targeting of Mu transposition
title_full SNP discovery by mismatch-targeting of Mu transposition
title_fullStr SNP discovery by mismatch-targeting of Mu transposition
title_full_unstemmed SNP discovery by mismatch-targeting of Mu transposition
title_short SNP discovery by mismatch-targeting of Mu transposition
title_sort snp discovery by mismatch-targeting of mu transposition
topic Methods Online
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1874615/
https://www.ncbi.nlm.nih.gov/pubmed/17311815
http://dx.doi.org/10.1093/nar/gkm070
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