Literature DB >> 12803650

The use of nuclear and mitochondrial single nucleotide polymorphisms to identify cryptic species.

N M Belfiore1, F G Hoffman, R J Baker, J A Dewoody.   

Abstract

There is growing interest in the use of single nucleotide polymorphisms for evolutionary and population genetics. We tested the efficacy of one of the available single nucleotide polymorphism techniques, single-base extension, in distinguishing four cryptic species of Microtus. Sequence data were available for these species at nuclear and mitochondrial loci and their identity could be independently confirmed using karyotypes. We found that the development and optimization of single nucleotide polymorphisms required extensive effort, and that the method accurately identified the correct nucleotide at single nucleotide polymorphism sites approximately 90% of the time at the conserved nuclear locus. Correct identification rates were much lower at the highly variable mitochondrial locus.

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Year:  2003        PMID: 12803650     DOI: 10.1046/j.1365-294x.2003.01874.x

Source DB:  PubMed          Journal:  Mol Ecol        ISSN: 0962-1083            Impact factor:   6.185


  3 in total

1.  Isolation and characterization of SNP variation at 90 anonymous loci in the banded wren (Thryothorus pleurostictus).

Authors:  Emily R A Cramer; L Stenzler; A L Talaba; C A Makarewich; S L Vehrencamp; I J Lovette
Journal:  Conserv Genet       Date:  2008-12       Impact factor: 2.538

2.  Single nucleotide polymorphism (SNP) discovery in duplicated genomes: intron-primed exon-crossing (IPEC) as a strategy for avoiding amplification of duplicated loci in Atlantic salmon (Salmo salar) and other salmonid fishes.

Authors:  Heikki J Ryynänen; Craig R Primmer
Journal:  BMC Genomics       Date:  2006-07-27       Impact factor: 3.969

3.  Novel efficient genome-wide SNP panels for the conservation of the highly endangered Iberian lynx.

Authors:  Daniel Kleinman-Ruiz; Begoña Martínez-Cruz; Laura Soriano; Maria Lucena-Perez; Fernando Cruz; Beatriz Villanueva; Jesús Fernández; José A Godoy
Journal:  BMC Genomics       Date:  2017-07-21       Impact factor: 3.969

  3 in total

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