Literature DB >> 22154270

From genes to phenotypes - evaluation of two methods for the SNP analysis in archaeological remains: pyrosequencing and competitive allele specific PCR (KASPar).

Melanie Pruvost1, Monika Reissmann, Norbert Benecke, Arne Ludwig.   

Abstract

The amplification length of the DNA fragments is one major limitation of most paleogenetic analyses. Routinely, only fragments below 200 bp can be amplified, significantly reducing the content of genetic information. Although overlapping PCR strategies and next generation sequencing techniques have strongly improved data mining recently, these methods are still expensive and time consuming. In contrast, SNP analyses are easy to handle, fast and cheap. In this study, we compare two methods of SNP detection as to efficiency, cost and reliability for their use in ancient DNA applications: pyrosequencing and competitive allele specific PCR (KASPar). Our sample set consisted of 16 horse bones from two Scythian graves (600-800 BC). In conclusion, both approaches produced reliable results for most allelic patterns. But an indel of 11 bp (ASIP) could not be detected in the KASPar approach and produced problems in the pyrosequencing method (70% success rate). In such cases, we recommend checking allelic distribution using a gel approach or capillary sequencing. Overall, in comparison with the traditional mode of ancient DNA investigations (PCR, cloning, capillary sequencing), both approaches are superior for SNP analyses especially of large sample sets.
Copyright © 2011 Elsevier GmbH. All rights reserved.

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Year:  2011        PMID: 22154270     DOI: 10.1016/j.aanat.2011.10.007

Source DB:  PubMed          Journal:  Ann Anat        ISSN: 0940-9602            Impact factor:   2.698


  4 in total

1.  Twenty-five thousand years of fluctuating selection on leopard complex spotting and congenital night blindness in horses.

Authors:  Arne Ludwig; Monika Reissmann; Norbert Benecke; Rebecca Bellone; Edson Sandoval-Castellanos; Michael Cieslak; Gloria G Fortes; Arturo Morales-Muñiz; Michael Hofreiter; Melanie Pruvost
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2015-01-19       Impact factor: 6.237

2.  Distribution of coat-color-associated alleles in the domestic horse population and Przewalski's horse.

Authors:  Monika Reissmann; Lutfi Musa; Sonia Zakizadeh; Arne Ludwig
Journal:  J Appl Genet       Date:  2016-05-18       Impact factor: 3.240

3.  Identification and validation of SNP markers linked to seed toxicity in Jatropha curcas L.

Authors:  Daniele Trebbi; Samathmika Ravi; Chiara Broccanello; Claudia Chiodi; George Francis; John Oliver; Sujatha Mulpuri; Subhashini Srinivasan; Piergiorgio Stevanato
Journal:  Sci Rep       Date:  2019-07-15       Impact factor: 4.379

4.  Characterization of the Sarcidano Horse Coat Color Genes.

Authors:  Giovanni Cosso; Vincenzo Carcangiu; Sebastiano Luridiana; Stefania Fiori; Nicolò Columbano; Gerolamo Masala; Giovanni Mario Careddu; Eraldo Sanna Passino; Maria Consuelo Mura
Journal:  Animals (Basel)       Date:  2022-10-05       Impact factor: 3.231

  4 in total

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