• Natural Product Sciences
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• v.26 no.3
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• pp.183-190
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• 2020

Genome mining has recently emerged as a powerful strategy to discover novel microbial secondary metabolites. However, more than 50% of biosynthetic gene clusters are not transcribed under standardized laboratory culture condition. Several methods have been applied to activate silent biosynthetic gene clusters in the microbes so far. Among the regulatory systems for production of secondary metabolites, global regulators, which affect transcription of genes through regulatory cascades, typically govern the production of small molecules. In this review, global regulators to affect production of microbial secondary metabolites were discussed.

• Animal cells and systems
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• v.12 no.4
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• pp.261-267
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• 2008

The human chromosomes 2, 7, 12 and 17 show genomic homology around Hox gene clusters, is taken as evidence that these paralogous gene families might have arisen from a ancestral chromosomal segment through genome duplication events. We have examined protein data from vertebrate and invertebrate genomes to analyze the phylogenetic history of multi-gene families with three or more of their representatives linked to human Hox clusters. Topology comparison based upon statistical significance and information of chromosome location for these genes examined have revealed many of linked genes coduplicated with Hox gene clusters. Most linked genes to Hox clusters share the same evolutionary history and are duplicated in concert with each other. We conclude that gene families linked to Hox clusters may be suggestion of ancient genome duplications.

• Applied Biological Chemistry
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• v.36 no.3
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• pp.208-214
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• 1993

To investigate the gene rearrangement via short repeated sequences in chloroplast DNA, the pattern of heterologous gene clusters containing the 151 bp repeated sequence with the development of plastid was compared in rice and the homologous gene clusters from various plant sources were searched for comparative analysis. Southern blot analysis of rice DNA using rp12 gene containing 151 bp repeated sequence as a probe showed the presence of heterologous gene clusters. Such heterologous gene clusters varied with the development of plastid. Also it was observed that the heterologous gene clusters were observed in all of the rice cultivars used in this work. Finally the comparative analysis of DNA sequence of the homologous gene clusters from various plants showed the evolutionary gene rearragngement via short repeated sequence among plants. These results suggest the possible relationship between the plastid development and gene rearrangement through short repeated sequences.

• Proceedings of the Botanical Society of Korea Conference
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• 1987.07a
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• pp.391-401
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• 1987

Plant chloroplast DNA exists as an unique circular structure in which large single copy(LSC) region and small single copy (SSC) region are separated by large inverted repeat sequences (IRS). It has been known that the unique existence of inverted repeat sequences in chloroplast DNA has no relation with the stability of the chloroplast DNA, but causes the inversion between inverted repeat its biological significance has not been understood so far. In rice, several gene clusters have been cloned and sequenced which contain ribulose-5-biophosphate car-boxylase large subunit (rbcL). Especially, one rbcL gene is linked with rp12 gene which is located in the IRS region in one of the gene clusters. By comparison of nucleotide sequence, the two genes are found to be linked through 151 bp repeat sequence which is homologous to the rp123 gene in IRS region. The repeat sequence is found to be located 3' downstream of rfcL gene and near psbA gene in LSC region. The existence of these repeat sequences and the presence of gene clusters caused by the gene rearrangement thorough the repeat sequence provide a possible which is found to be dispersed chloroplast DNA provide the model system to explaine the heterogeneity of the chloroplast DNA in rice in term of gene rearrangement.

• Genomics & Informatics
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• v.5 no.3
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• pp.124-128
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• 2007

Microarray technology enables us to measure the expression of tens of thousands of genes simultaneously under various experimental conditions. Clustering analysis is one of the most successful methods for analyzing microarray data using the assumption that co-expressed genes may be co-regulated. It is important to extract meaningful clusters from a long unordered list of clusters and to evaluate the functional homogeneity and heterogeneity of clusters. Many quality measures for clustering results have been suggested in different conditions. In the present study, we consider biological pathways as a collection of biological knowledge and used them as a reference for measuring the quality of clustering results and functional homogeneities. PathTalk visualizes and evaluates functional relationships between gene clusters and biological pathways.

• Journal of Microbiology and Biotechnology
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• v.29 no.5
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• pp.794-808
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• 2019

Bacillus velezensis strain WRN014 was isolated from banana fields in Hainan, China. Bacillus velezensis is an important member of the plant growth-promoting rhizobacteria (PGPR) which can enhance plant growth and control soil-borne disease. The complete genome of Bacillus velezensis WRN014 was sequenced by combining Illumina Hiseq 2500 system and Pacific Biosciences SMRT high-throughput sequencing technologies. Then, the genome of Bacillus velezensis WRN014, together with 45 other completed genome sequences of the Bacillus velezensis strains, were comparatively studied. The genome of Bacillus velezensis WRN014 was 4,063,541bp in length and contained 4,062 coding sequences, 9 genomic islands and 13 gene clusters. The results of comparative genomic analysis provide evidence that (i) The 46 Bacillus velezensis strains formed 2 obviously closely related clades in phylogenetic trees. (ii) The pangenome in this study is open and is increasing with the addition of new sequenced genomes. (iii) Analysis of single nucleotide polymorphisms (SNPs) revealed local diversification of the 46 Bacillus velezensis genomes. Surprisingly, SNPs were not evenly distributed throughout the whole genome. (iv) Analysis of gene clusters revealed that rich gene clusters spread over Bacillus velezensis strains and some gene clusters are conserved in different strains. This study reveals that the strain WRN014 and other Bacillus velezensis strains have potential to be used as PGPR and biopesticide.

• The KIPS Transactions:PartA
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• v.16A no.3
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• pp.143-152
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• 2009

One of the main issues in comparative genomics is to study chromosomal gene order in one or more related species. For this purpose, the whole genome alignment is usually applied to find the horizontal gene transfer, gene duplication, and gene loss between two related genomes. Also it is well known that the novel visualization tool with whole genome alignment is greatly useful for us to understand genome organization and evolution process. There are a lot of algorithms and visualization tools already proposed to find the "gene clusters" on genome alignments. But due to the huge size of whole genome, the previous visualization tools are not convenient to discover the relationship between two genomes. In this paper, we propose AlignScope, a novel visualization system for whole genome alignment, especially useful to find gene clusters between two aligned genomes. This AlignScope not only provides the simplified structure of genome alignment at any simplified level, but also helps us to find gene clusters. In experiment, we show the performance of AlignScope with several microbial genomes such as B. subtilis, B.halodurans, E. coli K12, and M. tuberculosis H37Rv, which have more than 5000 alignment pairs (matched DNA subsequence).

• Proceedings of the Microbiological Society of Korea Conference
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• 2001.11a
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• pp.146-156
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• 2001

The biosynthetic gene clusters for bluensomycin and spectinomycin were isolated and characterized from the bluensomycin producer, Streptomyces bluensis ATCC27420 and the spectinomycin producer, Streptomyces spectabilis ATCC27741, respectively. PCR primers were designed specifically to amplify a segment of dTDP-glucose synthase gene based on its conserved sequences of several actinomycete strains. By screening cosmid libraries using amplified PCR fragments, 30-kb and 45-kb DNA fragments were isolated from Streptomyces bluensis and Streptomyces spectabilis, respectively. Sequencing analysis of them revealed that each contains 15 open reading frames (ORFs). Some of these ORFs were turned out to be antibiotic resistance genes (blmA and speN), dTDP-glucose synthase genes (blmD and spcD), and dTDP-D-glucose 4,6-dehydratase genes (blmE and spcE), suggesting that the blm and spec gene clusters are likely involved in the biosynthesis of bluensomycin and spectinomycin, respectively.

• Journal of Institute of Control, Robotics and Systems
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• v.12 no.10
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• pp.1044-1049
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• 2006

Multiple sequence alignment is a method to compare two or more DNA or protein sequences. Most of multiple sequence alignment tools rely on pairwise alignment and Smith-Waterman algorithm to generate an alignment hierarchy. Therefore, in the existing multiple alignment method as the number of sequences increases, the runtime increases exponentially. In order to remedy this problem, we adopted a parallel processing suffix tree algorithm that is able to search for common subsequences at one time without pairwise alignment. Also, the cross-matching subsequences triggering inexact-matching among the searched common subsequences might be produced. So, the cross-matching masking process was suggested in this paper. To identify the function of the clusters generated by suffix tree clustering, BLAST and CDD (Conserved Domain Database)search were combined with a clustering tool. Our clustering and annotating tool consists of constructing suffix tree, overlapping common subsequences, clustering gene sequences and annotating gene clusters by BLAST and CDD search. The system was successfully evaluated with 36 gene sequences in the pentose phosphate pathway, clustering 10 clusters, finding out representative common subsequences, and finally identifying functional domains by searching CDD database.

• Journal of Microbiology and Biotechnology
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• v.19 no.2
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• pp.140-146
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• 2009

MAPSI(Management and Analysis for Polyketide Synthase Type I) has been developed to offer computational analysis methods to detect type I PKS(polyketide synthase) gene clusters in genome sequences. MAPSI provides a genome analysis component, which detects PKS gene clusters by identifying domains in proteins of a genome. MAPSI also contains databases on polyketides and genome annotation data, as well as analytic components such as new PKS assembly and domain analysis. The polyketide data and analysis component are accessible through Web interfaces and are displayed with diverse information. MAPSI, which was developed to aid researchers studying type I polyketides, provides diverse components to access and analyze polyketide information and should become a very powerful computational tool for polyketide research. The system can be extended through further studies of factors related to the biological activities of polyketides.