Gi-An Lee

Development and characterization of twenty-five new polymorphic microsatellite markers in proso millet (Panicum miliaceum L.)

Millets such as proso millet have excellent nutritional properties and could become a basic resource for crop breeding programs and food diversification. In this study, 25 polymorphic microsatellite markers were developed and characterized through construction of an SSR-enriched library from genomic DNA of proso millet (Panicum miliaceum L.). In total, 110 alleles were detected, with an average of 4.4 alleles per locus. Values of major allele frequency (MAF) and expected heterozygosity (HE) ranged from 0.36 to 0.98 (mean = 0.73) and from 0.04 to 0.74 (mean = 0.37), respectively. The mean genetic similarity coefficient was 0.3711, indicating that among 50 accessions of proso millet there was wide genetic variation. The newly developed microsatellite markers should be useful tools for assessing genetic diversity, understanding population structure, and breeding of proso millet.

Assessment of genetic diversity and population structure in mungbean

This study was carried out to assess the genetic diversity and to analyze the population genetic structure for a total of 692 mungbean accessions preserved at National Agrobiodiversity Center (NAC) of the Rural Development Administration (RDA), Korea. Mungbean accessions were collected from 27 countries in nine different geographic regions, and were genotyped using 15 microsatellite markers, which were developed in our previous study. A total of 66 alleles were detected among 692 accessions at all the loci with an average of 4.4 alleles per locus. All the microsatellite loci were found to be polymorphic. The expected heterozygosity (HE) and polymorphism information content (PIC) ranged from 0.081 to 0.588 (mean = 0.345) and from 0.080 to 0.544 (mean = 0.295), respectively. Of the 66 alleles, 17 (25.8%) were common (frequency range between 0.05 and 0.5), 15 (22.7%) were abundant (frequency range > 0.5), and 34 (51.5%) were rare (frequency range < 0.05). Locus GB-VR-7 provided the highest number of rare alleles(eight), followed by GB-VR-91(six) and GB-VR-113(four). Country-wide comparative study on genetic diversity showed that accessions from the USA possessed the highest genetic diversity (PIC) followed by Nepal, Iran, and Afghanistan. And region-wide showed that accessions from Europe possessed the highest average genetic diversity, followed by accessions from the USA, South Asia, West Asia, and Oceania. Twenty-seven countries were grouped into seven clades by phylogenetic relationship analysis, but clustering pattern did not strictly follow their geographical origin because of extensive germplasm exchange between/among countries and regions. As a result of a model-based analysis (STRUCTURE) of microsatellite data, two distinct genetic groups were identified which shared more than 75% membership with one of the two genetic groups. However the genetic group pattern did not reflect their geographical origin. The Duncan’s Multiple Range Test among these two genetic groups and an admixed group, with a mean of 16 phenotypic traits, showed significant difference in 12 quantitative and qualitative traits on the basis of ANOVA. These 15 newly developed SSR markers proved to be useful as DNA markers to detect genetic variation in mungbean germplasm for reasonable management and crossbreeding purposes.

Development and use of novel SSR markers for molecular genetic diversity in Italian millet (Setaria italica L.)

Italian millet is a commercially important grain crop. Nineteen polymorphic simple sequence repeat (SSR) markers, developed through construction of an SSR-enriched library from genomic DNA of Italian millet (Setaria italica L., P. Beauv.), were used for assessment of molecular genetic diversity against 40 accessions of S. italica. In total, 85 alleles were detected, with an average of 4.5 alleles per locus. The average gene diversity and polymorphism information content (PIC) values were 0.412 and 0.376, ranging from 0.02 to 0.88 and from 0.02 to 0.87, respectively. Values for observed (HO) and expected (HE) heterozygosities ranged from 0 to 0.73 and from 0.03 to 0.89, respectively. Nine loci deviated from Hardy-Weinberg equilibrium. The mean similarity coefficient among accessions was 0.6593. Based on the UPGMA algorithm, six different groups were successfully identified. In this clustering analysis, all Korean accessions grouped in one cluster, indicating that Korean accessions are genetically quite distinct from other introduced accessions. These newly developed microsatellite markers should be very useful tools for several genetic studies, including an assessment of diversity and population structure in Italian millet.

Genetic assessment of safflower (Carthamus tinctorius L.) collection with microsatellite markers acquired via pyrosequencing method

A genetic evaluation of safflower germplasm collections derived from different geographical regions and countries will provide useful information for sustainable conservation and the utilization of genetic diversity. However, the molecular marker information is limited for evaluation of genetic diversity of safflower germplasm. In this study, we acquired 509 putative genomic SSR markers for sufficient genome coverage using next‐generation sequencing methods and characterized thirty polymorphic SSRs in safflower collection composed of 100 diverse accessions. The average allele number and expected heterozygosity were 2.8 and 0.386, respectively. Analysis of population structure and phylogeny based on thirty SSR profiles revealed genetic admixture between geographical regions contrary to genetic clustering. However, the accessions from Korea were genetically conserved in distinctive groups in contrast to other safflower gene pool. In conclusion, these new genomic SSRs will facilitate valuable studies to clarify genetic relationships as well as conduct population structure analyses, genetic map construction and association analysis for safflower.

Isolation and characterization of 28 polymorphic SSR loci from castor bean (Ricinus communis L.)

Castor bean (Ricinus communis) is cultivated for seed oil throughout tropical and subtropical regions but the understanding of its genetic variability is limited. Because applicable microsatellite markers are not sufficient, we isolated and characterized polymorphic simple sequence repeat (SSR) loci acquired from a microsatellite-enriched genomic DNA library of castor bean. Finally, 28 SSR loci revealed polymorphisms in a castor bean collection consisting of 72 accessions. A total of 73 alleles were detected, with an average of 3.18 alleles per locus, and the polymorphism information content (PIC) ranged from 0.03 to 0.47 (mean = 0.26). Values for observed (HO) and expected (HE) heterozygosity ranged from 0.00 to 0.19 (mean = 0.11) and from 0.04 to 0.54 (mean = 0.31), respectively. To understand genetic relationships within the castor bean collection, a dendrogram was constructed based on profiles of the 28 SSR loci. These newly developed SSRs will be useful tools for assessing genetic diversity and population structure in castor bean.

Novel Microsatellite Markers Acquired from Rubus coreanus Miq. and Cross-Amplification in Other Rubus Species

The Rubus genus consists of more than 600 species that are distributed globally. Only a few Rubus species, including raspberries and blueberries, have been domesticated. Genetic diversity within and between Rubus species is an important resource for breeding programs. We developed genomic microsatellite markers using an SSR-enriched R. coreanus library to study the diversity of the Rubus species. Microsatellite motifs were discovered in 546 of 646 unique clones, and a dinucleotide repeat was the most frequent (75.3%) type of repeat. From 97 microsatellite loci with reproducible amplicons, we acquired 29 polymorphic microsatellite markers in the Rubus coreanus collection. The transferability values ranged from 59.8% to 84% across six Rubus species, and Rubus parvifolius had the highest transferability value (84%). The average number of alleles and the polymorphism information content were 5.7 and 0.541, respectively, in the R. coreanus collection. The diversity index of R. coreanus was similar to the values reported for other Rubus species. A phylogenetic dendrogram based on SSR profiles revealed that seven Rubus species could be allocated to three groups, and that R. coreanus was genetically close to Rubus crataegifolius (mountain berry). These new microsatellite markers might prove useful in studies of the genetic diversity, population structure, and evolutionary relationships among Rubus species.

Cross-Amplification of Vicia sativa subsp. sativa Microsatellites across 22 Other Vicia Species

The temperate and herbaceous genus Vicia L. is a member of the legume tribe Fabeae of the subfamily Papilionoideae. The genus Vicia comprises 166 annual or perennial species distributed mainly in Europe, Asia, and North America, but also extending to the temperate regions of South America and tropical Africa. The use of simple sequence repeat (SSR) markers for Vicia species has not been investigated as extensively as for other crop species. In this study, we assessed the potential for cross-species amplification of cDNA microsatellite markers developed from common vetch (Vicia sativa subsp. sativa). For cross-species amplification of the SSRs, amplification was carried out with genomic DNA isolated from two to eight accessions of 22 different Vicia species. For individual species or subspecies, the transferability rates ranged from 33% for V. ervilia to 82% for V. sativa subsp. nigra with an average rate of 52.0%. Because the rate of successful SSR marker amplification generally correlates with genetic distance, these SSR markers are potentially useful for analyzing genetic relationships between or within Vicia species.

Transcriptome Analysis of Two Vicia sativa Subspecies: Mining Molecular Markers to Enhance Genomic Resources for Vetch Improvement

The vetch (Vicia sativa) is one of the most important annual forage legumes globally due to its multiple uses and high nutritional content. Despite these agronomical benefits, many drawbacks, including cyano-alanine toxin, has reduced the agronomic value of vetch varieties. Here, we used 454 technology to sequence the two V. sativa subspecies (ssp. sativa and ssp. nigra) to enrich functional information and genetic marker resources for the vetch research community. A total of 86,532 and 47,103 reads produced 35,202 and 18,808 unigenes with average lengths of 735 and 601 bp for V. sativa sativa and V. sativa nigra, respectively. Gene Ontology annotations and the cluster of orthologous gene classes were used to annotate the function of the Vicia transcriptomes. The Vicia transcriptome sequences were then mined for simple sequence repeat (SSR) and single nucleotide polymorphism (SNP) markers. About 13% and 3% of the Vicia unigenes contained the putative SSR and SNP sequences, respectively. Among those SSRs, 100 were chosen for the validation and the polymorphism test using the Vicia germplasm set. Thus, our approach takes advantage of the utility of transcriptomic data to expedite a vetch breeding program.

Evaluation of Genetic Diversity of Red Pepper Landraces (Capsicum annuum L.) from Bulgaria Using SSR Markers

The amount of genetic variability of a species is essential for its survival and adaptation in different environments, and studies of genetic diversity using molecular markers are necessary to understand the genetic structure of a population and to orientate effective strategies of germplasm conservation. The aim of current study was to determine the SSR markers that can be used rapidly and reliably to evaluated the pepper of Bulgaria landraces, and applied the markers to assessment of introduce genetic diversity of the pepper germplasm. We used 22 polymorphic microsatellite markers to analysis of genetic diversity within 61 pepper collection of Bulgaria landraces germplasm, all SSR primers pairs produced 82 polymorphic and reproducible amplification fragments. Results showed a relatively low level of genetic diversity among pepper accessions from Bulgaria for both molecular and morphological markers. An average value of polymorphic information contents (PIC) were 0.334 with a range of 0.061 to 0.63. The mean values of observed (HO) and gene diversity (GD) were 0.383 and 0.154, respectively, indicating a considerable amount of polymorphism within this collection. A genetic distance-based phylogeny grouped into three distinct groups according to genetic difference among the accessions. An average day of flowering time was 56.9 days with a range of 48 to 65 days. The average of fruit length and width were 6.9cm with a range 2.6 to 13.9cm, and 1.9cm with a range 0.5 to 4.2cm, respectively.

New Genetic Loci Associated with Preharvest Sprouting and Its Evaluation Based on the Model Equation in Rice

Preharvest sprouting (PHS) in rice panicles is an important quantitative trait that causes both yield losses and the deterioration of grain quality under unpredictable moisture conditions at the ripening stage. However, the molecular mechanism underlying PHS has not yet been elucidated. Here, we explored the genetic loci associated with PHS in rice and formulated a model regression equation for rapid screening for use in breeding programs. After re-sequencing 21 representative accessions for PHS and performing enrichment analysis, we found that approximately 20,000 SNPs revealed distinct allelic distributions between PHS resistant and susceptible accessions. Of these, 39 candidate SNP loci were selected, including previously reported QTLs. We analyzed the genotypes of 144 rice accessions to determine the association between PHS and the 39 candidate SNP loci, 10 of which were identified as significantly affecting PHS based on allele type. Based on the allele types of the SNP loci, we constructed a regression equation for evaluating PHS, accounting for an R2 value of 0.401 in japonica rice. We validated this equation using additional accessions, which exhibited a significant R2 value of 0.430 between the predicted values and actual measurements. The newly detected SNP loci and the model equation could facilitate marker-assisted selection to predict PHS in rice germplasm and breeding lines.