2008
DOI: 10.1111/j.1469-8137.2008.02588.x
|View full text |Cite
|
Sign up to set email alerts
|

High‐resolution melt analysis to identify and map sequence‐tagged site anchor points onto linkage maps: a white lupin (Lupinus albus) map as an exemplar

Abstract: Summary• The provision of sequence-tagged site (STS) anchor points allows meaningful comparisons between mapping studies but can be a time-consuming process for nonmodel species or orphan crops.• Here, the first use of high-resolution melt analysis (HRM) to generate STS markers for use in linkage mapping is described. This strategy is rapid and low-cost, and circumvents the need for labelled primers or amplicon fractionation.• Using white lupin (Lupinus albus, x = 25) as a case study, HRM analysis was applied … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
2

Citation Types

0
42
0
3

Year Published

2009
2009
2021
2021

Publication Types

Select...
4
3
1

Relationship

0
8

Authors

Journals

citations
Cited by 70 publications
(45 citation statements)
references
References 113 publications
0
42
0
3
Order By: Relevance
“…Because of these benefits, HRM has already been used in many investigations including the detection of SNP mutations (Margraf et al 2006;Wu et al 2008), RNA editing (Chateigner-Boutin and Small 2007), identification of transgenic plants (Akiyama et al 2009), varietal identification (Mackay et al 2008), and food traceability (Ganopoulos et al 2010;Jaakola et al 2010). HRM analysis has also been successfully used for genetic mapping in white lupin, barley, apple, and almond (Chagné et al 2008;Croxford et al 2008;Lehmensiek et al 2008;Wu et al 2009). It has also been used to develop a genetic map of SNP markers in Cryptomeria japonica (Ujino-Ihara et al 2010).…”
Section: Introductionmentioning
confidence: 97%
See 1 more Smart Citation
“…Because of these benefits, HRM has already been used in many investigations including the detection of SNP mutations (Margraf et al 2006;Wu et al 2008), RNA editing (Chateigner-Boutin and Small 2007), identification of transgenic plants (Akiyama et al 2009), varietal identification (Mackay et al 2008), and food traceability (Ganopoulos et al 2010;Jaakola et al 2010). HRM analysis has also been successfully used for genetic mapping in white lupin, barley, apple, and almond (Chagné et al 2008;Croxford et al 2008;Lehmensiek et al 2008;Wu et al 2009). It has also been used to develop a genetic map of SNP markers in Cryptomeria japonica (Ujino-Ihara et al 2010).…”
Section: Introductionmentioning
confidence: 97%
“…HRM has been proved suitable for detecting not only SNP markers but also STS and SSR markers (Croxford et al 2008;Mackay et al 2008). In this study, HRM analysis is employed to develop markers with currently widely used SSRs and STSs, to help make full use of those existing resources to improve the efficiency of rice gene mapping and associated tasks.…”
Section: Introductionmentioning
confidence: 99%
“…HRM has been proved to be an accurate, time-saving and cost-eVective approach for SNP detection in comparison to traditional gel-based methods such as RFLP and SSCP (Liew et al 2004;Wu et al 2008). HRM has been used recently to map SNP markers in plant species and gene scanning for disease-related mutations in humans (Chagne et al 2008;Croxford et al 2008;Lehmensiek et al 2008;Kennerson et al 2009). In our study, 12 putative almond genes anchored by SNP were mapped using the HRM technique, and we found this methodology to be accurate and eYcient during the laboratory, scoring and data processing phases of the work.…”
Section: Discussionmentioning
confidence: 98%
“…Recently, this approach has been applied to genetic mapping (Chagne et al 2008;Croxford et al 2008;Lehmensiek et al 2008;Kennerson et al 2009). It has been used for mutation scanning of large multi-exon genes to identify disease-related mutations in humans (Kennerson et al 2009) or linkage map construction in plant species (Chagne et al 2008;Croxford et al 2008;Lehmensiek et al 2008).…”
Section: Introductionmentioning
confidence: 98%
“…HRM allows melt profiles of 96 or 384 different PCR products to be achieved in minutes, compared to at least 12 h for most gelbased methods (Tindall et al, 2009). HRM analysis has primarily been used for the discovery and genotyping of single nucleotide polymorphisms (SNPs) (Graham et al, 2005), but it has also been used for precise amplicon verification (Erali et al, 2006), sequence matching applications such as HLA identity (Zhou et al, 2004) and generating STS markers in linkage mapping studies (Croxford et al, 2008).…”
Section: Discussionmentioning
confidence: 99%