Xiao-Dong, Dnag and Kelleher, Colin T. and 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
Keywords:	angiosperms; conservation genetics; phylogeography; population genetics—empirical; speciation;
Academic Unit:	Faculty of Science and Engineering > Biology
Item ID:	10932
Identification Number:	https://doi.org/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
URI:	https://onlinelibrary.wiley.com
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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