Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/2979
Title: High resolution melting analysis of almond SNPs derived from ESTs
Contributor(s): Wu, Shu-Biao  (author)orcid ; Wirtensohn, Michelle G. (author); Hunt, Peter (author); Gibson, John Paul  (author); Sedgley, Margaret  (author)
Publication Date: 2008
DOI: 10.1007/s00122-008-0870-8
Handle Link: https://hdl.handle.net/1959.11/2979
Abstract: High resolution melting curve (HRM) is a recent advance for the detection of SNPs. The technique measures temperature induced strand separation of short PCR amplicons, and is able to detect variation as small as one base difference between samples. It has been applied to the analysis and scan of mutations in the genes causing human diseases. In plant species, the use of this approach is limited. We applied HRM analysis to almond SNP discovery and genotyping based on the predicted SNP information derived from the almond and peach EST database. Putative SNPs were screened from almond and peach EST contigs by HRM analysis against 25 almond cultivars. All 4 classes of SNPs, INDELs and microsatellites were discriminated, and the HRM profiles of 17 amplicons were established. The PCR amplicons containing single, double and multiple SNPs produced distinctive HRM profiles. Additionally, different genotypes of INDEL and microsatellite variations were also characterised by HRM analysis. By sequencing the PCR products, 100 SNPs were validated/revealed in the HRM amplicons and their flanking regions. The results showed that the average frequency of SNPs was 1:114 bp in the genic regions, and transition to transversion ratio was 1.16:1. Rare allele frequencies of the SNPs varied from 0.02 to 0.5, and the polymorphic information contents of the SNPs were from 0.04 to 0.53 at an average of 0.31. HRM has been demonstrated to be a fast, low cost, and efficient approach for SNP discovery and genotyping, in particular, for species without much genomic information such as almond.
Publication Type: Journal Article
Source of Publication: Theoretical and Applied Genetics, 118(1), p. 1-14
Publisher: Springer Germany
Place of Publication: Berlin/Heidelberg, Germany
ISSN: 0040-5752
Field of Research (FOR): 060407 Genome Structure and Regulation
Socio-Economic Outcome Codes: 820211 Stone Fruit
Peer Reviewed: Yes
HERDC Category Description: C1 Refereed Article in a Scholarly Journal
Statistics to Oct 2018: Visitors: 262
Views: 261
Downloads: 0
Appears in Collections:Journal Article

Files in This Item:
2 files
File Description SizeFormat 
Show full item record

SCOPUSTM   
Citations

114
checked on Dec 3, 2018

Page view(s)

50
checked on Jan 12, 2019
Google Media

Google ScholarTM

Check

Altmetric


Items in Research UNE are protected by copyright, with all rights reserved, unless otherwise indicated.