Cheol-Goo Hur

Genomic blueprint of Hahella chejuensis, a marine microbe producing an algicidal agent

Harmful algal blooms, caused by rapid growth and accumulation of certain microalgae in the ocean, pose considerable impacts on marine environments, aquatic industries and even public health. Here, we present the 7.2-megabase genome of the marine bacterium Hahella chejuensis including genes responsible for the biosynthesis of a pigment which has the lytic activity against a red-tide dinoflagellate. H.chejuensis is the first sequenced species in the Oceanospiralles clade, and sequence analysis revealed its distant relationship to the Pseudomonas group. The genome was well equipped with genes for basic metabolic capabilities and contained a large number of genes involved in regulation or transport as well as with characteristics as a marine heterotroph. Sequence analysis also revealed a multitude of genes of functional equivalence or of possible foreign origin. Functions encoded in the genomic islands include biosynthesis of exopolysacchrides, toxins, polyketides or non-ribosomal peptides, iron utilization, motility, type III protein secretion and pigmentation. Molecular structure of the algicidal pigment, which was determined through LC-ESI-MS/MS and NMR analyses, indicated that it is prodigiosin. In conclusion, our work provides new insights into mitigating algal blooms in addition to genetic make-up, physiology, biotic interactions and biological roles in the community of a marine bacterium.

Towards pathogenomics: a web-based resource for pathogenicity islands

Pathogenicity islands (PAIs) are genetic elements whose products are essential to the process of disease development. They have been horizontally (laterally) transferred from other microbes and are important in evolution of pathogenesis. In this study, a comprehensive database and search engines specialized for PAIs were established. The pathogenicity island database (PAIDB) is a comprehensive relational database of all the reported PAIs and potential PAI regions which were predicted by a method that combines feature-based analysis and similarity-based analysis. Also, using the PAI Finder search application, a multi-sequence query can be analyzed onsite for the presence of potential PAIs. As of April 2006, PAIDB contains 112 types of PAIs and 889 GenBank accessions containing either partial or all PAI loci previously reported in the literature, which are present in 497 strains of pathogenic bacteria. The database also offers 310 candidate PAIs predicted from 118 sequenced prokaryotic genomes. With the increasing number of prokaryotic genomes without functional inference and sequenced genetic regions of suspected involvement in diseases, this web-based, user-friendly resource has the potential to be of significant use in pathogenomics. PAIDB is freely accessible at .

Genome Sequence of the Polymyxin-Producing Plant-Probiotic Rhizobacterium Paenibacillus polymyxa E681

Paenibacillus polymyxa E681, a spore-forming, low-G+C, Gram-positive bacterium isolated from the rhizosphere of winter barley grown in South Korea, has great potential for agricultural applications due to its ability to promote plant growth and suppress plant diseases. Here we present the complete genome sequence of P. polymyxa E681. Its 5.4-Mb genome encodes functions specialized to the plant-associated lifestyle and characteristics that are beneficial to plants, such as the production of a plant growth hormone, antibiotics, and hydrolytic enzymes.

Complete Genome Sequence of Leuconostoc citreum KM20

Leuconostoc citreum is one of the most prevalent lactic acid bacteria during the manufacturing process of kimchi, the best-known Korean traditional dish. We have determined the complete genome sequence of L. citreum KM20. It consists of a 1.80-Mb chromosome and four circular plasmids and reveals genes likely involved in kimchi fermentation and its probiotic effects.

Pepper EST database: comprehensive in silico tool for analyzing the chili pepper (Capsicum annuum) transcriptome

BackgroundThere is no dedicated database available for Expressed Sequence Tags (EST) of the chili pepper (Capsicum annuum), although the interest in a chili pepper EST database is increasing internationally due to the nutritional, economic, and pharmaceutical value of the plant. Recent advances in high-throughput sequencing of the ESTs of chili pepper cv. Bukang have produced hundreds of thousands of complementary DNA (cDNA) sequences. Therefore, a chili pepper EST database was designed and constructed to enable comprehensive analysis of chili pepper gene expression in response to biotic and abiotic stresses.ResultsWe built the Pepper EST database to mine the complexity of chili pepper ESTs. The database was built on 122,582 sequenced ESTs and 116,412 refined ESTs from 21 pepper EST libraries. The ESTs were clustered and assembled into virtual consensus cDNAs and the cDNAs were assigned to metabolic pathway, Gene Ontology (GO), and MIPS Functional Catalogue (FunCat). The Pepper EST database is designed to provide a workbench for (i) identifying unigenes in pepper plants, (ii) analyzing expression patterns in different developmental tissues and under conditions of stress, and (iii) comparing the ESTs with those of other members of the Solanaceae family. The Pepper EST database is freely available at http://genepool.kribb.re.kr/pepper/.ConclusionThe Pepper EST database is expected to provide a high-quality resource, which will contribute to gaining a systemic understanding of plant diseases and facilitate genetics-based population studies. The database is also expected to contribute to analysis of gene synteny as part of the chili pepper sequencing project by mapping ESTs to the genome.

Genome Sequence of the Probiotic Bacterium Bifidobacterium animalis subsp. lactis AD011

Bifidobacterium animalis subsp. lactis is a probiotic bacterium that naturally inhabits the guts of most mammals, including humans. Here we report the complete genome sequence of B. animalis subsp. lactis AD011 that was isolated from an infant fecal sample. Biological functions encoded in a single circular chromosome of 1,933,695 bp, smallest among the completely sequenced bifidobacterial genomes, are suggestive of their probiotic functions, such as utilization of bifidogenic factors and a variety of glycosidic enzymes and biosynthesis of polysaccharides.

A computational approach for identifying pathogenicity islands in prokaryotic genomes

BackgroundPathogenicity islands (PAIs), distinct genomic segments of pathogens encoding virulence factors, represent a subgroup of genomic islands (GIs) that have been acquired by horizontal gene transfer event. Up to now, computational approaches for identifying PAIs have been focused on the detection of genomic regions which only differ from the rest of the genome in their base composition and codon usage. These approaches often lead to the identification of genomic islands, rather than PAIs.ResultsWe present a computational method for detecting potential PAIs in complete prokaryotic genomes by combining sequence similarities and abnormalities in genomic composition. We first collected 207 GenBank accessions containing either part or all of the reported PAI loci. In sequenced genomes, strips of PAI-homologs were defined based on the proximity of the homologs of genes in the same PAI accession. An algorithm reminiscent of sequence-assembly procedure was then devised to merge overlapping or adjacent genomic strips into a large genomic region. Among the defined genomic regions, PAI-like regions were identified by the presence of homolog(s) of virulence genes. Also, GIs were postulated by calculating G+C content anomalies and codon usage bias. Of 148 prokaryotic genomes examined, 23 pathogenic and 6 non-pathogenic bacteria contained 77 candidate PAIs that partly or entirely overlap GIs.ConclusionSupporting the validity of our method, included in the list of candidate PAIs were thirty four PAIs previously identified from genome sequencing papers. Furthermore, in some instances, our method was able to detect entire PAIs for those only partial sequences are available. Our method was proven to be an efficient method for demarcating the potential PAIs in our study. Also, the function(s) and origin(s) of a candidate PAI can be inferred by investigating the PAI queries comprising it. Identification and analysis of potential PAIs in prokaryotic genomes will broaden our knowledge on the structure and properties of PAIs and the evolution of bacterial pathogenesis.

Comparative analysis of expressed sequence tags from Sesamum indicum and Arabidopsis thaliana developing seeds

Sesame (Sesamum indicum) is an important oilseed crop which produces seeds with 50% oil that have a distinct flavor and contains antioxidant lignans. Because sesame lignans are known to have antioxidant and health-protecting properties, metabolic pathways for lignans have been of interest in developing sesame seeds. As an initial approach to identify genes involved in accumulation of storage products and in the biosynthesis of antioxidant lignans, 3328 expressed sequence tags (ESTs) were obtained from a cDNA library of immature seeds 5–25 days old. ESTs were clustered and analyzed by the BLASTX or FASTAX program against the GenBank NR and Arabidopsis proteome databases. To compare gene expression profiles during development of green and non-green seeds, a comparative analysis was carried out between developing sesame and Arabidopsis seed ESTs. Analyses of these two seed EST sets have helped to identify similar and different gene expression profiles during seed development, and to identify a large number of sesame seed-specific genes. In particular, we have identified EST candidates for genes possibly involved in biosynthesis of sesame lignans, sesamin and sesamolin, and also suggest a possible metabolic pathway for the generation of cofactors required for synthesis of storage lipid in non-green oilseeds. Seed-specific expression of several candidate genes has been confirmed by northern blot analysis.

Long-term adaptation of global transcription and metabolism in the liver of high-fat diet-fed C57BL/6J mice

SCOPE This study investigated the global transcriptional and metabolic changes occurring at multiple time points over 24 wk in response to a high-fat diet (HFD). METHODS AND RESULTS C57BL/6J mice were fed a HFD or normal diet (ND) over 24 wk. HFD-fed mice developed early clinical indicators of obesity-related co-morbidities including fatty liver, insulin resistance, hyperglycemia and hypercholesterolemia. Time-course microarray analysis at eight time points over 24 wk identified 332 HFD responsive genes as potential targets to counteract diet-induced obesity (DIO) and related co-morbidities. Glucose regulating enzyme activity and gene expression were altered early in the HFD-fed mice. Fatty acid (FA) and triglyceride (TG) accumulation in combination with inflammatory changes appear to be likely candidates contributing to hepatic insulin resistance. Cidea seemed to be one of representative genes related to these changes. CONCLUSION Global transcriptional and metabolic profiling across multiple time points in liver revealed potential targets for nutritional interventions to reverse DIO. In future, new approaches targeting HFD responsive genes and hepatic metabolism could help ameliorate the deleterious effects of an HFD and DIO-related complication.

In silico identification and characterization of microRNAs and their putative target genes in Solanaceae plants

MicroRNAs (miRNAs) are a class of small, single-stranded, noncoding RNAs ranging from 19 to 25 nucleotides. The miRNA control various cellular functions by negatively regulating gene expression at the post-transcriptional level. The miRNA regulation over their target genes has a central role in regulating plant growth and development; however, only a few reports have been published on the function of miRNAs in the family Solanaceae. We identified Solanaceae miRNAs and their target genes by analyzing expressed sequence tag (EST) data from five different Solanaceae species. A comprehensive bioinformatic analysis of EST data of Solanaceae species revealed the presence of at least 11 miRNAs and 54 target genes in pepper (Capsicum annuum L.), 22 miRNAs and 221 target genes in potato (Solanum tuberosum L.), 12 miRNAs and 417 target genes in tomato (Solanum lycopersicum L.), 46 miRNAs and 60 target genes in tobacco (Nicotiana tabacum L.), and 7 miRNAs and 28 target genes in Nicotiana benthamiana. The identified Solanaceae miRNAs and their target genes were deposited in the SolmiRNA database, which is freely available for academic research only at http://genepool.kribb.re.kr/SolmiRNA. Our data indicate that the Solanaceae family has both conserved and specific miRNAs and that their target genes may play important roles in growth and development of Solanaceae plants.