Literature DB >> 28818715

Screening for single nucleotide polymorphisms in highly degraded DNA by using the amplified fragment length polymorphism technique.

Mitsuyo Machida1, Takashi Taki2, Kazuhiko Kibayashi3.   

Abstract

Short tandem repeat (STR) analysis is generally used for human identification of forensic samples; however, standard STR analysis sometimes fails to generate full profiles since DNA is frequently degraded by various environmental factors. Recently, single nucleotide polymorphism (SNP) analysis has attracted attention for human identification since the shorter amplicons are better suited for degraded samples. Though various SNP loci are used for analysis of degraded samples, it is unclear which ones are more appropriate. To identify SNPs that were resistant to degradation, we artificially degraded DNA obtained from the buccal swabs of six volunteers and the K562 cell line by heat treatment. Subsequently, the amplified fragment length polymorphism (AFLP) technique was used for SNP screening. We focused on the AFLP bands detected in both the heat-treated and untreated samples, and DNA extracted from these bands was directly sequenced. DNA degradation increased as the duration of heat treatment increased, and no STR profiles could be generated after 6h of heat treatment. When the AFLP band patterns were compared between 6h heat-treated and untreated samples, eight common bands were detected. The sequences of the DNA fragments of these common bands had higher adenine-thymine (A-T) content and included 17 SNPs. The SNPs detected in the heat-treated and untreated samples were considered to be resistant to degradation. Although there was a little information available in databases regarding the nine SNPs identified in this study, this study shows that some of these SNPs might be useful for human identification of extremely degraded DNA.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Amplified fragment length polymorphism (AFLP); Degraded DNA; Single nucleotide polymorphisms (SNPs)

Mesh:

Year:  2017        PMID: 28818715     DOI: 10.1016/j.fsigen.2017.08.007

Source DB:  PubMed          Journal:  Forensic Sci Int Genet        ISSN: 1872-4973            Impact factor:   4.882


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