KASP Markers for Identifying Roselle (Hibiscus sabdariffa L.) Key Varieties Based on Genetic Polymorphisms Revealed by ddRAD-Seq

Variety characterization is crucial in the seed trade, particularly for protecting variety rights. However, the identification of roselle (Hibiscus sabdariffa L.) varieties, known for their beneficial effects on human health and high processing potential, has traditionally relied on morphological traits due to limited genetic information. To investigate genetic polymorphisms of roselle germplasms and to develop breeder-accessible genotyping tools, this study first phenotyped a roselle collection from diverse geographical origins for the selection of core varieties, and then utilized double-digest restriction-associated DNA sequencing (ddRAD-seq) to identify 53,746 single nucleotide polymorphisms (SNPs) across 17 core varieties. Cluster analysis of the SNP data effectively grouped varieties with similar genetic backgrounds. From this genetic information, we selected nine SNPs as a toolkit to simplify core variety discrimination. These SNPs were then converted into breeder-friendly kompetitive allele-specific PCR (KASP) markers, facilitating the classification of an additional 54 roselle accessions. In conclusion, this research contributes novel insights into the genetic relationships among roselle varieties, and establishes a robust framework utilizing ddRAD-seq and KASP markers for improved genetic resource identification and application in breeding programs.

Authors

Institutions

Publication Details

Journal
Horticulturae
Published
2024-12-11
DOI
https://doi.org/10.3390/horticulturae10121325
Citations
1
Primary Topic
Hibiscus Plant Research Studies
Type
article
Field-Weighted Citation Impact
0.47

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

KASP Markers for Identifying Roselle (Hibiscus sabdariffa L.) Key Varieties Based on Genetic Polymorphisms Revealed by ddRAD-Seq

Yao‐Cheng Lin, Shih-Jie Huang, Kai‐Yi Chen, Jheng-Yang Ou et al.
1 citations
Horticulturae
Hibiscus Plant Research Studies
0.47
article

KASP Markers for Identifying Roselle (Hibiscus sabdariffa L.) Key Varieties Based on Genetic Polymorphisms Revealed by ddRAD-Seq

Yao‐Cheng Lin, Shih-Jie Huang, Kai‐Yi Chen, Jheng-Yang Ou, Ju-Yin Lee, Fu‐Chiun Hsu, Jiawei Wu, Jingwen Chen, Chun-Hao Hu, Yu-Lin Wu
article en
1 citations

Abstract

Variety characterization is crucial in the seed trade, particularly for protecting variety rights. However, the identification of roselle (Hibiscus sabdariffa L.) varieties, known for their beneficial effects on human health and high processing potential, has traditionally relied on morphological traits due to limited genetic information. To investigate genetic polymorphisms of roselle germplasms and to develop breeder-accessible genotyping tools, this study first phenotyped a roselle collection from diverse geographical origins for the selection of core varieties, and then utilized double-digest restriction-associated DNA sequencing (ddRAD-seq) to identify 53,746 single nucleotide polymorphisms (SNPs) across 17 core varieties. Cluster analysis of the SNP data effectively grouped varieties with similar genetic backgrounds. From this genetic information, we selected nine SNPs as a toolkit to simplify core variety discrimination. These SNPs were then converted into breeder-friendly kompetitive allele-specific PCR (KASP) markers, facilitating the classification of an additional 54 roselle accessions. In conclusion, this research contributes novel insights into the genetic relationships among roselle varieties, and establishes a robust framework utilizing ddRAD-seq and KASP markers for improved genetic resource identification and application in breeding programs.

HorticulturaeVol. 10(12)
National Taiwan University (TW), Southern Taiwan Science Park (TW), Agricultural Biotechnology Research Center, Academia Sinica (TW), Academia Sinica (TW)
Academia Sinica
Peace, Justice and strong institutions
Openalex Percentile: Top 31%
Hibiscus Plant Research Studies
0.47
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.