Evidence map›Paper›PMID 18781291›Full record

ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2008

High resolution melting analysis of almond SNPs derived from ESTs.

Shu-Biao Wu, Michelle G Wirthensohn, Peter Hunt, John P Gibson, Margaret Sedgley

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Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
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44citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

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3 · Its place in the literature

Who cites it

44 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Shu-Biao WuSchool of Environmental and Rural Science and The Institute of Genetics and Bioinformatics, The University of New England, Armidale, NSW, 2351, Australia. shubiao.wu@une.edu.au
Michelle G Wirthensohn
Peter Hunt
John P Gibson
Margaret Sedgley

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Expressed Sequence TagsPolymorphism, Single NucleotideBase SequenceDNA, PlantGenotypeINDEL MutationMicrosatellite RepeatsMolecular Sequence DataPolymerase Chain ReactionPrunusSequence AlignmentSequence Analysis, DNADNA, Plant

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.