Developing Novel Microsatellite Markers for Kaempferia parviflora by Microsatellite Capture Sequencing (MiCAPs)

Kaempferia parviflora, a medicinal plant widely used in Southeast Asia, has been validated clinically for its diverse pharmaceutical applications. Despite extensive research in pharmacology, there is a notable lack of cytogenetic and genomic research, primarily due to limited genetic information. Simple Sequence Repeat (SSR) is considered a robust class of molecular markers frequently used in biodiversity studies. In this study, we adopted Microsatellite Capture Sequencing (MiCAPs) to obtain SSR sequences for marker development. We identified 13,644 SSRs and developed and validated ten sets of SSR markers through capillary electrophoresis. The ten primer sets generated 27 alleles, with an average Polymorphism Information Content (PIC) of 0.36. Principle Coordinate Analysis (PCoA) distinguished two types of K. parviflora, consistent with classification by leaf margin color (red and green). A neighbor-joining dendrogram of seven Zingiberaceae species was constructed with the SSR-containing sequences. The 2-c value of K. parviflora is first reported here as 3.16 ± 0.03; the genome size is estimated at 3090.48 Mbp. The newly developed molecular markers are crucial for variety identification and the conservation of wild resources. Additionally, the cytogenetic and phylogenetic information provides valuable insights into the genetic diversity and evolutionary relationships.

Authors

Institutions

Publication Details

Journal
Agronomy
Published
2024-09-01
DOI
https://doi.org/10.3390/agronomy14091984
Citations
2
Primary Topic
Ginger and Zingiberaceae research
Type
article
Field-Weighted Citation Impact
0.93

Funders

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

Developing Novel Microsatellite Markers for Kaempferia parviflora by Microsatellite Capture Sequencing (MiCAPs)

Keisuke Tanaka, Godfrey Ngure, Kazuo Watanabe, Miao Shi et al.
2 citations
Agronomy
Ginger and Zingiberaceae research
0.93
article

Developing Novel Microsatellite Markers for Kaempferia parviflora by Microsatellite Capture Sequencing (MiCAPs)

Keisuke Tanaka, Godfrey Ngure, Kazuo Watanabe, Miao Shi, Marlon P. Rivera
article en
2 citations

Abstract

Kaempferia parviflora, a medicinal plant widely used in Southeast Asia, has been validated clinically for its diverse pharmaceutical applications. Despite extensive research in pharmacology, there is a notable lack of cytogenetic and genomic research, primarily due to limited genetic information. Simple Sequence Repeat (SSR) is considered a robust class of molecular markers frequently used in biodiversity studies. In this study, we adopted Microsatellite Capture Sequencing (MiCAPs) to obtain SSR sequences for marker development. We identified 13,644 SSRs and developed and validated ten sets of SSR markers through capillary electrophoresis. The ten primer sets generated 27 alleles, with an average Polymorphism Information Content (PIC) of 0.36. Principle Coordinate Analysis (PCoA) distinguished two types of K. parviflora, consistent with classification by leaf margin color (red and green). A neighbor-joining dendrogram of seven Zingiberaceae species was constructed with the SSR-containing sequences. The 2-c value of K. parviflora is first reported here as 3.16 ± 0.03; the genome size is estimated at 3090.48 Mbp. The newly developed molecular markers are crucial for variety identification and the conservation of wild resources. Additionally, the cytogenetic and phylogenetic information provides valuable insights into the genetic diversity and evolutionary relationships.

AgronomyVol. 14(9)
University of the Philippines Los Baños (PH), Tokyo University of Information Sciences (JP), University of Tsukuba (JP), Africa International University (KE)
University of Tsukuba
Life in Land
Openalex Percentile: Top 25%
Ginger and Zingiberaceae research
0.93
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.