Xiao-Dong, Dnag, Kelleher, Colin T., Howard Williams, Emma and Meade, Conor (2012) Rapid identification of chloroplast haplotypes using High Resolution Melting analysis. Molecular Ecology Resources, 12 (4). pp. 894-908. ISSN 1755-098X
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Abstract
We have evaluated High Resolution Melting (HRM) analysis as a method for one-step haplotype identification in phylogeographic
analysis. Using two adjoined internal amplicons (c. 360 and 390 bp) at the chloroplast rps16 intron (c. 750 bp) we
applied HRM to identify haplotypes in 21 populations of two European arctic-alpine herb species Arenaria ciliata and Arenaria
norvegica (Caryophyllaceae). From 446 accessions studied, 20 composite rps16 haplotypes were identified by the melting-
curve protocol, 18 of which could be identified uniquely. In a comparative sensitivity analysis with in silico PCR-RFLP,
only seven of these 20 haplotypes could be identified uniquely. Observed in vitro experimental HRM profiles were corroborated
by in silico HRM analysis generated on uMeltSM. In silico mutation analysis carried out on a 360 bp wild-type rps16I
amplicon determined that the expected rate of missed single-nucleotide polymorphisms (SNP) detection in vitro was similar
to existing evaluations of HRM sensitivity, with transversion SNPs being more likely to go undetected compared to
transition SNPs. In vitro HRM successfully discriminated between all amplicon templates differing by two or more base
changes (352 cases) and between 11 pairs of amplicons where the only difference was a single transition or transversion
SNP. Only one pairwise comparison yielded no discernable HRM curve difference between haplotypes, and these samples
differed by one transversion (C⁄G) SNP. HRM analysis represents an untapped resource in phylogeographic analysis, and
with appropriate primer design any polymorphic locus is potentially amenable to this single-reaction method for haplotype
identification.
Item Type: | Article |
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Keywords: | angiosperms; conservation genetics; phylogeography; population genetics—empirical; speciation; |
Academic Unit: | Faculty of Science and Engineering > Biology |
Item ID: | 10932 |
Identification Number: | 10.1111/j.1755-0998.2012.03164.x |
Depositing User: | Dr. Conor Meade |
Date Deposited: | 10 Jul 2019 15:56 |
Journal or Publication Title: | Molecular Ecology Resources |
Publisher: | Blackwell Publishing Ltd. |
Refereed: | Yes |
Related URLs: | |
URI: | https://mural.maynoothuniversity.ie/id/eprint/10932 |
Use Licence: | This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here |
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