• Proceedings of the Plant Resources Society of Korea Conference
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• 2022.09a
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• pp.69-69
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• 2022

Commelinaceae (Commelinales), consist of three subfamiles and 40 genera, are distributed in the Old and New world, except Europe. This family is commonly known as dayflower and spiderwort due to their short bloom time and a viscous stem secretion. Although, several morphological and molecular analysis were conducted, the relationships among the genera are still ambiguous. The rapid advances in next-generation sequencing (NGS) enable us to do genomic research widely. Here, we assembled 12 new plastomes of Commelinaceae including Cartonematoideae and compared with previously published data. We identified pseudogened accD and rpoA in Commelinoideae taxa. Phylogenetic analysis inferred from 78 protein-coding genes showed that Rhopalephora scaberrima was nested within Aneilema. Also, there is a need to revise the subtribal relationships in Tradescantieae. This study will contribute to define the genome structures, phylogenetic and biogeographic studies of Commelinaceae.

• BMB Reports
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• v.57 no.5
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• pp.216-231
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• 2024

Mammalian genomes are intricately compacted to form sophisticated 3-dimensional structures within the tiny nucleus, so called 3D genome folding. Despite their shapes reminiscent of an entangled yarn, the rapid development of molecular and next-generation sequencing technologies (NGS) has revealed that mammalian genomes are highly organized in a hierarchical order that delicately affects transcription activities. An increasing amount of evidence suggests that 3D genome folding is implicated in diseases, giving us a clue on how to identify novel therapeutic approaches. In this review, we will study what 3D genome folding means in epigenetics, what types of 3D genome structures there are, how they are formed, and how the technologies have developed to explore them. We will also discuss the pathological implications of 3D genome folding. Finally, we will discuss how to leverage 3D genome folding and engineering for future studies.

• Genomics & Informatics
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• v.10 no.1
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• pp.33-39
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• 2012

High-throughput genomic technologies (HGTs), including next-generation DNA sequencing (NGS), microarray, and serial analysis of gene expression (SAGE), have become effective experimental tools for cancer genomics to identify cancer-associated somatic genomic alterations and genes. The main hurdle in cancer genomics is to identify the real causative mutations or genes out of many candidates from an HGT-based cancer genomic analysis. One useful approach is to refer to known cancer genes and associated information. The list of known cancer genes can be used to determine candidates of cancer driver mutations, while cancer gene-related information, including gene expression, protein-protein interaction, and pathways, can be useful for scoring novel candidates. Some cancer gene or mutation databases exist for this purpose, but few specialized tools exist for an automated analysis of a long gene list from an HGT-based cancer genomic analysis. This report presents a new web-accessible bioinformatic tool, called CaGe, a cancer genome annotation system for the assessment of candidates of cancer genes from HGT-based cancer genomics. The tool provides users with information on cancer-related genes, mutations, pathways, and associated annotations through annotation and browsing functions. With this tool, researchers can classify their candidate genes from cancer genome studies into either previously reported or novel categories of cancer genes and gain insight into underlying carcinogenic mechanisms through a pathway analysis. We show the usefulness of CaGe by assessing its performance in annotating somatic mutations from a published small cell lung cancer study.

• Molecules and Cells
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• v.39 no.12
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• pp.862-868
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• 2016

Goats (Capra hircus) are one of the oldest species of domesticated animals. Native Korean goats are a particularly interesting group, as they are indigenous to the area and were raised in the Korean peninsula almost 2,000 years ago. Although they have a small body size and produce low volumes of milk and meat, they are quite resistant to lumbar paralysis. Our study aimed to reveal the distinct genetic features and patterns of selection in native Korean goats by comparing the genomes of native Korean goat and crossbred goat populations. We sequenced the whole genome of 15 native Korean goats and 11 crossbred goats using next-generation sequencing (Illumina platform) to compare the genomes of the two populations. We found decreased nucleotide diversity in the native Korean goats compared to the crossbred goats. Genetic structural analysis demonstrated that the native Korean goat and cross-bred goat populations shared a common ancestry, but were clearly distinct. Finally, to reveal the native Korean goat's selective sweep region, selective sweep signals were identified in the native Korean goat genome using cross-population extended haplotype homozygosity (XP-EHH) and a cross-population composite likelihood ratio test (XP-CLR). As a result, we were able to identify candidate genes for recent selection, such as the CCR3 gene, which is related to lumbar paralysis resistance. Combined with future studies and recent goat genome information, this study will contribute to a thorough understanding of the native Korean goat genome.

• The Korea Journal of Herbology
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• v.34 no.6
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• pp.91-97
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• 2019

Objective : To establish a reliable tool between for the distinction of original plants of Sanguisorbae Radix, we analyzed the complete chloroplast genome sequence of Sanguisorbae Radix and identified single nucleotide polymorphisms (SNPs). Materials and methods : The chloroplast genome sequence of Sanguisorba officinalis, Sanguisorba tenuifolia f. alba (Trautv. & Mey.) Kitam and Sanguisorba tenuifolia Fisch. ex Link obtained using next-generation sequencing technology were described and compared with those of other species to develop specific markers. Candidate genetic markers were identified to distinguish species from the chloroplast sequences of each species using Modified Phred Phrap Consed and CLC Genomics Workbench programs. Results : The structure of the chloroplast genome of each sample that had been assembled and verified was circular, and the length was about 155 kbp. Through comparative analysis of the chloroplast sequences, we found 220 nucleotides, 158 SNPs, and 62 Indel (insertion and/or deletion), to distinguish Sanguisorba officinalis, Sanguisorba tenuifolia f. alba (Trautv. & Mey.) Kitam and Sanguisorba tenuifolia Fisch. ex Link. Finally, 15 specific SNP genetic markers were selected for the verification at positions. Avaliable primers for the dried herb, which is used as medicine, were used to develop the PCR amplification product of Sanguisorbae Radix to assess the applicability of PCR analysis. Conclusion : In this study, we found that Fendel-qPCR analysis based on the chloroplast DNA sequences can be an efficient tool for discrimination of Sanguisorba officinalis, Sanguisorba tenuifolia f. alba (Trautv. & Mey.) Kitam and Sanguisorba tenuifolia Fisch. ex Link.

• Korean Journal of Microbiology
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• v.52 no.3
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• pp.375-379
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• 2016

In this study, the structure and diversity of bacterial community were investigated in the surface and subsurface marine sediments using a NGS method (i.e. illumina sequencing technology). The bacterial community in the surface was distinct from that in the subsurface of marine sediment; with the exception of the phylum Proteobacteria, the relative abundance of Bacteroides phylum were higher in the surface than subsurface, whereas the sequences affiliated to the phyla Chloroflexi and Acidobacteria were relatively more copious in the subsurface than surface sediment. Moreover, interestingly, we observed that the phyla Nitrospinae and Nitrospirae contribute to nitrogen cycle in the marine sediment. This study may present the possibility for the presence of novel microorganisms as unexplored sources and provide basic information on the microbial community structure.

• Journal of Life Science
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• v.30 no.1
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• pp.64-69
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• 2020

The European honeybee (Apis mellifera L.) has multiple anti-microbial peptides, but many were unknown and demands for their characterization have increased. This study therefore focused on identifying novel anti-microbial peptides (AMPs) from A. mellifera L. To obtain high-throughput transcriptome data of the honeybee, we implemented next-generation sequencing (NGS), isolating novel AMPs from total RNA, and generated 15,314 peptide sequences, including 44 known, using Illumina HiSeq 2500 technology. The uncharacterized peptides were identified based on specific features of possible AMPs predicted in the sequencing analysis. AMP5, one such uncharacterized peptide, was expressed in the epidermis, body fat, and venom gland of the honeybee. We chemically synthesized this peptide and tested its anti-bacterial activity against Gram-negative Escherichia coli (KACC 10005) and Gram-positive Bacillus thuringiensis (KACC 10168) by anti-microbial assay. AMP5 exhibited anti-bacterial activity against E. coli (MIC50=22.04±0.66 μM) but not against B. thuringiensis. When worker bees were injected with E. coli, AMP5 was up-regulated in the body fat. This study therefore identified AMP5 in adult European honeybees and confirmed its anti-bacterial activity against Gram-negative E. coli.

• Journal of Life Science
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• v.30 no.3
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• pp.291-297
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• 2020

This study was conducted to develop microsatellite markers in Seriola quinqueradiata using next-generation sequencing. A total of 28,873,374 reads were generated on an Illumina Hiseq2500 system, yielding 7,247,216,874 bp sequences. The de novo assembly resulted in 466,359 contigs. A total of 132 contigs (0.43%), including 60 microsatellite loci, were derived from 30,729 contigs longer than 518 bp. A total of 60 primer sets were designed from the 132 microsatellite loci. A total of 15 polymorphic nuclear microsatellite loci were chosen to evaluate population genetic parameters in the parents and offspring. The mean number of effective alleles was 18.5, ranging from 11 to 30. The observed heterozygosity (H_O) and expected heterozygosity (H_E) ranged between 0.431 and 0.972 with an average of 0.812 and from 0.782 to 0.949 with an average of 0.896, respectively. No significant linkage disequilibrium was observed after Bonferroni revision in any loci. The results show that the 15 polymorphic nuclear microsatellite markers can be used to study the population and conservation genetics of S. quinqueradiata in Korea. To ensure the success of artificial seedling production technology, genetic variations between the parent and offspring populations should be monitored, and inbreeding should be controlled.

• Journal of Life Science
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• v.31 no.10
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• pp.922-928
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• 2021

To profile the microbial compositions of Korean traditional fermented paste made from whole soybeans, Doenjang and Cheonggukjang, and compare their taxonomic differences, we analyzed the V3-V4 region of 16S rRNA of naturally fermented foods by using next generation sequencing. α-Diversity results showed that values indicating bacterial community abundances (OTUs) and richness (ACE, Chao1) were statistically significant (p=0.0001) in Doenjang and Cheonggukjang. Firmicutes was the most common phylum in both groups, representing 97.02% and 99.67% in the Doenjang and Cheonggukjang groups, respectively. Bacillus was the most dominant genus, accounting for 71.70% and 59.87% in both groups. Linear discriminant (LDA) effect size (LEfSe) analysis was performed to reveal the significant ranking of abundant taxa in different fermented foods. A size-effect threshold of 2.0 on the logarithmic LDA score was used for discriminative functional biomarkers. On the species level, Bacillus subtilis, Tetragenococcus halophilus, and Clostridium arbusti were significantly more abundant in Doenjang than in Cheonggukjang, whereas Bacillus thermoamylovorans, Enterococcus faecium, and Lactobacillus sakei were significantly more abundant in Cheonggukjang than in Doenjang. Permutational multivariate analysis of variance (PERMANOVA) showed that the statistical difference in microbial clusters between the two groups was significant at the confidence level of p=0.001. This research could be used as basic research to identify the correlation between the biochemical characteristics of Korean fermented foods and the distribution of microbial communities.

• Journal of Life Science
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• v.32 no.10
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• pp.803-811
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• 2022

Despite the importance of traditional Korean fermented foods, little is known about the microbial communities and diversity of fermented soy products. To gain insight into the unexplored microbial communities of both Doenjang (DJ) and Ganjang (GJ) that may contribute to the fermentation in Korean traditional foods, we carried out next-generation sequencing (NGS) based on the V3-V4 region of 16S rDNA gene analysis. The alpha diversity analysis results revealed that both the Shannon and Simpson diversity indices were significantly different between the two groups, whereas the richness indices, including ACE, CHAO, and Jackknife, were not significant. Firmicutes were the most dominant phylum in both groups, but several taxa were found to be more abundant in DJ than in GJ. The proportions of Bacillus, Kroppenstedtia, Clostridium, and Pseudomonas and most halophiles and halotolerant bacteria, such as Tetragenococcus, Chromohalobacter, Lentibacillus, and Psychrobacter, were lower in DJ than in GJ. Linear discriminant effect size (LEfSe) analysis was carried out to discover discriminative functional biomarkers. Biomarker discovery results showed that Bacillus and Tetragenococcus were identified as the most important features for the classification of subjects to DJ and GJ. Paired-permutational multivariate analysis of variance (PERMANOVA) further revealed that the bacterial community structure between the two groups was statistically different (p=0.001).