국내 해양관련 데이터베이스의 정보를 구축하는 중에 확인된 문제점들은 HNS 크게 두 가지로 요약된다. 첫 번째는 물질정보가 없는 경우로서, 많은 경우 자연물질로 다양한 성분을 함유하고 있으며, 이외에도 이성질체 및 동족체화합물로서 확인된다. 두 번째로는 국내 HNS DB의 출처가 다양하여, 정제되지 않은 경우인데 물질정보의 환경조건이 상이하거나 같은 조건에서도 서로 다른 정보가 혼재하는 경우이다. 이러한 문제점을 해결하기 위해, 유럽의 GESAMP에서 제시한 보고서와 미국 CAMEO를 참조하여 누락정보를 확보하였으며 두 데이터베이스의 명명법의 차이에서 오는 누락 정보를 두 데이터베이스의 유사명 자료비교와 화학구조를 이용해 확인하였다. 자연물질과 그룹화합물들도 주요성분의 자료를 활용하였으며, 이성질체의 경우 단일성분의 자료를 기입하거나, 위험성이 높은 성분의 자료를 선택해서 기입하였다. 물질정보 중 IMDG 등급의 경우 주위험성외에 부위험성의 중요성을 고려하여 HNS DB에 새로 기입하였으며, 부록으로 HS 번호 부여 및 해양환경거동분류를 첨부하였다. 향후 아직 남아있는 누락정보의 확보를 위해서는 GESAMP circular report를 확보하도록 할 필요성이 있다고 판단된다
Quantitative analyses of naturally occurring methanol were performed for the alcoholic beverages commonly consumed in Jecheon, Chungbuk province, South Korea. The headspace analysis method was optimized for the low and high alcoholic beverages. The external standard method was applied due to the overlapping of 2-propanol and 2-butanol (the internal standard candidates) with target sample matrix peaks. The target samples were selected based on the retail sales amounts of alcoholic beverages in the largest retailer food-mart chain, Jecheon, Chungbuk province, South Korea. There was no sample containing methanol over 0.5 ㎎/㎖, the Korean maximum level of methanol in alcoholic beverages (1.0 ㎎/㎖ for fruit originated liquor etc). The total exposure amount of methanol via alcoholic beverages was estimated based on the daily alcohol consumption of 40 g. The hazard indices calculated by methanol RfD 0.5 ㎎/㎏ bw day (US EPA) and ADI 20 ㎎/㎏ bw day (proposed by Lachenmeier etc.) were 0.301 and 0.008, respectively. As with the hazard index, aggregate exposures below a HI of 1.0 will likely not result in adverse noncancer health effects over a lifetime of exposure. Then the methanol exposure via the alcoholic liquours might not hazard to Jecheon citizen.
The rice recombinant inbred lines derived from Milyang23 and Gihobyeo cross were used in genetic mapping and QTL analysis studies. In this study, we developed a new 101 CAPS markers based on the SNPs in the whole genome region between these varieties. As a result, the total genetic distance and average distances were 1,696.97 cM and 3.64 cM, respectively. In comparison to the distance of the previous genetic map constructed based on 365 DNA markers, the new genetic map was found to have a decreased distance. The map was applied for the detection of QTLs on all seven traits relevant to diameter of stem internode, length of culms, length of panicles and the number of panicles including the correlation analysis between each trait. The QTLs results were similar to the report in previous studies, whereas the distance between the markers was narrowed and accuracy increased with the addition of 101 CAPS markers. A total of 9 new QTLs were detected for stem internode traits. Among them, qI1D-6 had higher LOD of 5.1 and phenotype variation of 50.92%. In this experiment, a molecular map was constructed with CAPS markers using next generation sequencing showing high accuracy for markers and QTLs. In the future, developing more accurate QTL information on stem internode diameters with various agriculturally important traits will be possible for further rice breeding.
Perilla is a annual herb plant of the mint family, Laminaceae and mainly cultivated in eastern Asia, i.e. Korea, China and Japan. In response to an increased interest for healthy supplement food from the public, people are focusing on the properties of perilla. The applicable parts of perilla plants are the leaves and seeds. Perilla has been cultivated as a source of unsaturated fatty acid oil. But in spite of advantage of the important nutritional traits the genome or molecular studies on perilla remains largely unknown. Sequence comparisons of chloroplast (cp) genomes or nuclear ribosomal DNA (nrDNA) are of great important to provide a evidence for taxonomic studies or species identification or understanding mechanisms that underlie the evolution of perilla species. So, we tried to study a structural analysis of perilla genome and 45s nrDNA using 9 species (3 Diploid; Perilla B-17, P. hirtella, P. setoyensis / 6 Tetraploid; YCPL 285, YCPL 170, YCPL 205-1, YCPL 181-1, YCPL 177-1, YCPL 207-1). The complete cp genome and nrDNA of 9 perilla species were determined using Illumina sequencing technology and analyzed on the variance in base level between perilla B-17 and salvia miltiorrhiza. Total chloroplast genome size of perilla B-17 as a reference was 152,589 bp in length. We also identified an slightly overlapped intergenic regions between salvia miltiorrhiza and B-17. The results above will contribute to growing of molecular or genome structure and functional genomics of perilla available in studying perilla biology.
For further study, we will look for genetic diversity of perilla species.
The next-generation sequencing(NGS) technology is being used for more effective genetic mapping. In previous study, we obtained 60x coverage of sequence from Milyang23 and Gihobyeo on average comparing with Nipponbare reference genome. Also, we developed new derived cleaved amplified polymorphic sequence(dCAPS) markers based on the single nucleotide polymorphisms(SNPs) in coding region sequence(CDS) between these varieties. Totally, 1,726,798 SNPs between Milyang23 and Gihobyeo were detected. Among them, 146 SNP were selected for making dCAPS markers and located on genetic map with previously reported 219 PCR-based DNA markers. The map was applied to the detection of quantitative trait loci(QTLs) for stem internode diameters, culm length and panicle length within MGRIL population, and six QTLs with relatively high LOD score were found at three chromosomes; culm length and stem diameter including the first internode diameter, third and fourth internode diameter.
This study showed that the NGS allowed the rapid discovery of a large number of SNPs for dCAPS marker. So, we tried to find out more single nucleotide polymorphisms(SNPs) which were located on the whole genome sequence, such as un-translated region(UTR), intron, Inter-region and coding region sequence(CDS) between Milyang23 and Gihobyeo varieties. And we collected phenotypic information about culm length, panicle length, four stem internode diameters and panicle number in rice MGRIL population for QTLs. Furthermore, results of QTL analysis described above will shows relevance of molecular markers in mapping genes for useful breeding.