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Application of High Resolution Melt analysis (HRM) for screening haplotype variation in non-model plants: a case study of Honeybush (Cyclopia Vent.)

View ORCID ProfileNicholas C Galuszynski, View ORCID ProfileAlastair J Potts
doi: https://doi.org/10.1101/2020.02.05.921080
Nicholas C Galuszynski
1Department of Botany, Nelson Mandela University, Port Elizabeth, Eastern Cape, South Africa
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  • For correspondence: nicholas.galuszynski@gmail.com
Alastair J Potts
1Department of Botany, Nelson Mandela University, Port Elizabeth, Eastern Cape, South Africa
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  • Table S1_Species and regions initially screened for HRM primer design[supplements/921080_file03.doc]
  • Table S2_Genus-speific primers tested for amplification[supplements/921080_file04.doc]
  • Table S3_Nucleotide variation among haplotypes detected in wild C. subternata populations via HRM and confirmation Sanger sequencing[supplements/921080_file05.doc]
  • Table S4_Costing analysis comparing HRM to alternative approaches to data generation[supplements/921080_file06.doc]
  • Supplementary Methods_Lab procedures[supplements/921080_file07.doc]
  • Supplementary Figure_Neighbor Joining clustering of wild C. subternata populations based on alleic diffreretiation (Jost's D)[supplements/921080_file08.pdf]
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Posted February 11, 2020.
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Application of High Resolution Melt analysis (HRM) for screening haplotype variation in non-model plants: a case study of Honeybush (Cyclopia Vent.)
Nicholas C Galuszynski, Alastair J Potts
bioRxiv 2020.02.05.921080; doi: https://doi.org/10.1101/2020.02.05.921080
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Application of High Resolution Melt analysis (HRM) for screening haplotype variation in non-model plants: a case study of Honeybush (Cyclopia Vent.)
Nicholas C Galuszynski, Alastair J Potts
bioRxiv 2020.02.05.921080; doi: https://doi.org/10.1101/2020.02.05.921080

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