Development of 30 SNP markers for the endangered plant Taihangia rupestris based on transcriptome database and high resolution melting analysis

2017 ◽  
Vol 10 (4) ◽  
pp. 775-778 ◽  
Author(s):  
Weiguo Li ◽  
Sen Liu ◽  
Shangtong Jiang ◽  
Xinlu Li ◽  
Gang Li
Keyword(s):  
High Resolution ◽  
High Resolution Melting ◽  
Snp Markers ◽  
High Resolution Melting Analysis ◽  
Endangered Plant ◽  
Transcriptome Database ◽  
Melting Analysis

Identification of Capsicum species using SNP markers based on high resolution melting analysis

Genome ◽  
2010 ◽  
Vol 53 (12) ◽  
pp. 1029-1040 ◽  
Author(s):  
Hee-Jin Jeong ◽  
Yeong Deuk Jo ◽  
Soung-Woo Park ◽  
Byoung-Cheorl Kang
Keyword(s):  
High Resolution ◽  
Dna Sequences ◽  
High Resolution Melting ◽  
Snp Markers ◽  
High Resolution Melting Analysis ◽  
Waxy Gene ◽  
Nucleotide Polymorphisms ◽  
Cytoplasmic Dna ◽  
Melting Analysis ◽  
Capsicum Species

Single nucleotide polymorphisms (SNPs) derived from both nuclear and cytoplasmic DNA sequences were developed to identify distinct species of Capsicum . Species identification was achieved by detecting allelic variations of these type of markers via high resolution melting analysis (HRM). We used the HRM polymorphisms of COSII markers and the Waxy gene from the nuclear sequence, in addition to the intergenic spacer between trnL and trnF from cytoplasmic DNA as our SNP markers. A total of 31 accessions of Capsicum, representing six species, were analyzed using this method. As single markers were insufficient for identifying Capsicum species, combinations of all markers unambiguously identified all six. A phylogeny based on the SNP markers was consistent with the current taxonomy of Capsicum species. These observations demonstrate that the markers developed in this study are useful for rapid identification of new germplasm for management of Capsicum species.

scholarly journals Parental mosaicism in Marfan and Ehlers–Danlos syndromes and related disorders

2021 ◽  
Author(s):  
Bertrand Chesneau ◽  
Aurélie Plancke ◽  
Guillaume Rolland ◽  
Nicolas Chassaing ◽  
Christine Coubes ◽  
...  
Keyword(s):  
High Resolution ◽  
Marfan Syndrome ◽  
High Resolution Melting ◽  
De Novo ◽  
Direct Sequencing ◽  
Causal Variant ◽  
Connective Tissue Disorder ◽  
High Resolution Melting Analysis ◽  
Aortic Diseases ◽  
Melting Analysis

AbstractMarfan syndrome (MFS) is a heritable connective tissue disorder (HCTD) caused by pathogenic variants in FBN1 that frequently occur de novo. Although individuals with somatogonadal mosaicisms have been reported with respect to MFS and other HCTD, the overall frequency of parental mosaicism in this pathology is unknown. In an attempt to estimate this frequency, we reviewed all the 333 patients with a disease-causing variant in FBN1. We then used direct sequencing, combined with High Resolution Melting Analysis, to detect mosaicism in their parents, complemented by NGS when a mosaicism was objectivized. We found that (1) the number of apparently de novo events is much higher than the classically admitted number (around 50% of patients and not 25% as expected for FBN1) and (2) around 5% of the FBN1 disease-causing variants were not actually de novo as anticipated, but inherited in a context of somatogonadal mosaicisms revealed in parents from three families. High Resolution Melting Analysis and NGS were more efficient at detecting and evaluating the level of mosaicism compared to direct Sanger sequencing. We also investigated individuals with a causal variant in another gene identified through our “aortic diseases genes” NGS panel and report, for the first time, on an individual with a somatogonadal mosaicism in COL5A1. Our study shows that parental mosaicism is not that rare in Marfan syndrome and should be investigated with appropriate methods given its implications in patient’s management.

scholarly journals Rapid detection of fungal pathogens in bronchoalveolar lavage samples using panfungal PCR combined with high resolution melting analysis

2016 ◽  
Vol 54 (7) ◽  
pp. 714-724 ◽  
Author(s):  
Matej Bezdicek ◽  
Martina Lengerova ◽  
Dita Ricna ◽  
Barbora Weinbergerova ◽  
Iva Kocmanova ◽  
...  
Keyword(s):  
High Resolution ◽  
Bronchoalveolar Lavage ◽  
Rapid Detection ◽  
Fungal Pathogens ◽  
High Resolution Melting ◽  
High Resolution Melting Analysis ◽  
Melting Analysis ◽  
Panfungal Pcr

High-resolution melting analysis for detection of MYH9 mutations

Platelets ◽  
2008 ◽  
Vol 19 (6) ◽  
pp. 471-475 ◽  
Author(s):  
Dana Provaznikova ◽  
Tereza Kumstyrova ◽  
Roman Kotlin ◽  
Peter Salaj ◽  
Vaclav Matoska ◽  
...  
Keyword(s):  
High Resolution ◽  
High Resolution Melting ◽  
High Resolution Melting Analysis ◽  
Melting Analysis
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