Dataset Information

Isolation and characterization of 28 microsatellite loci for a Korean endemic, Lespedeza maritima (Fabaceae).

ABSTRACT: PREMISE OF THE STUDY:We developed microsatellite primers for Lespedeza maritima (Fabaceae), a Korean endemic shrub, and conducted cross-amplifications for closely related species. METHODS AND RESULTS:We produced 28 polymorphic microsatellite markers through reference mapping of 300-bp paired-end reads obtained from Illumina MiSeq data. For 47 individual plants from two populations, the total alleles numbered two to 13, and observed and expected heterozygosities ranged from 0.067 to 0.867 and from 0.064 to 0.848, respectively. Most of these markers were well amplified in closely related species. CONCLUSIONS:In future research, the microsatellite markers described here will help reveal the taxonomic entity of this species.

SUBMITTER: Jin DP

PROVIDER: S-EPMC4716779 | biostudies-literature | 2016 Jan

REPOSITORIES: biostudies-literature

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Isolation and characterization of 28 microsatellite loci for a Korean endemic, Lespedeza maritima (Fabaceae).

Jin Dong-Pil DP Cho Won-Bum WB Choi In-Su IS Choi Byoung-Hee BH

Applications in plant sciences 20160107 1

<h4>Premise of the study</h4>We developed microsatellite primers for Lespedeza maritima (Fabaceae), a Korean endemic shrub, and conducted cross-amplifications for closely related species.<h4>Methods and results</h4>We produced 28 polymorphic microsatellite markers through reference mapping of 300-bp paired-end reads obtained from Illumina MiSeq data. For 47 individual plants from two populations, the total alleles numbered two to 13, and observed and expected heterozygosities ranged from 0.067 t ...[more]

PMID: 26819860

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Project description:Various plant species are endemic to the Korean Peninsula, but their evolutionary divergence and establishment are poorly understood. One of these, Lespedeza maritima, has been proposed as either a hybrid (L. cyrtobotrya × L. maximowiczii) or a synonym of L. thunbergii. A distinct taxon, L. uekii, has been proposed for inland populations. We investigated genetic diversity and structure in L. maritima and related taxa to resolve this. Genotypes of L. maritima (n = 244, including L. uekii) were determined using 12 microsatellite loci, then compared with those of related species. Genetic diversity within L. maritima was estimated, and Bayesian clustering analysis was used to represent its genetic structure and that of related taxa. Its distribution during the last glacial maximum (LGM) was predicted using ecological niche modelling (ENM). Neighbour-joining (NJ) analysis and principal coordinate analysis (PCoA) were used to investigate relationships among species. Bayesian tree based on nuclear ribosomal internal transcribed spacers (nrITS) was also reconstructed to show relationships and divergence time among species. Morphological features were examined using flower characteristics. In result, expected heterozygosity (H E) and allelic richness (A R) within L. maritima were higher in southern than northern populations. Bayesian clustering analysis largely assigned populations to two clusters (K = 2) (south vs. north). The ENM showed that L. maritima occurred around the East China Sea and Korean Strait land bridge during the LGM. Compared with other Lespedeza species, L. maritima was assigned to an independent cluster (K = 2-5), supported by the NJ, PCoA, Bayesian tree and morphological examination results. Lespedeza maritima and L. uekii were clustered to one clade on Bayesian tree. Given results, current L. maritima populations derive from post-LGM colonization away from southern refugia. The type L. uekii, which grows inland, is thought synonym of L. maritima. In addition, L. maritima is considered a distinct species, compared with related taxa.

Dataset Information

Isolation and characterization of 28 microsatellite loci for a Korean endemic, Lespedeza maritima (Fabaceae).

Publications

Isolation and characterization of 28 microsatellite loci for a Korean endemic, Lespedeza maritima (Fabaceae).

Similar Datasets

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