Low-molecular-weight glutenin subunits (LMW-GS) play a crucial role in the processing quality of wheat flour. They are encoded multi gene family located at the Glu-A3, Glu-B3 and Glu-D3 on the short arm of chromosome 1A, 1B and 1D respectively. Typical LMW-GSs are composed of three parts including a short N-terminal domain, a relatively short repetitive domain and a C-terminal domain. Further, typical LMW-GS sequences are divided into LMW-s, LMW-m and LMW-i types, on the basis of the first amino acid of the mature proteins (serine, methionine and isoleucine, respectively). Although it is known that the allelic variation of LMW-GSs affect the properties of dough, it is still not clear which LMW-GSs confer better bread-making quality because of the larger number of expressed subunits and their overlapping mobility with abundant gliadin proteins. Therefore, it is important to characterize LMW-GS genes and develop functional markers to identify different LMW-GS alleles for application in wheat breeding. In this review, we discuss the various aspects of LMW-GS, including their structural characteristics, the development of marker, relationship between LMW-GSs and bread wheat quality, and genetic engineering of the LMW-GSs.

NABIC(National Agricultural Biotechnology Information Center) established integrated management system of agricultural omics information to achieve and analyze a agricultural bio-information resources in Korea. The amount of bio-information is enormously increasing due to emergence of NGS(Next Generation Sequencing) technology. We are building, maintaining and providing agricultural bio-information databases and information services. Various data type for submission is available such as genome, proteome, transcriptome, metabolome, molecular marker, etc. We issue the submission confirmation which is available for research achievement. Currently, the amount of data submitted on our system is 30Tb. We are also providing various analysis pipelines such as NGS analysis(denovo, rna-seq, reference assembly), Gene annotation, GWAS, marker analysis for breeding ,Microbial community analysis and differential expression profiling analysis using submitted data through web. We have a plan to provide bioinformatics education portal in this year.

NABIC(National Agricultural Biotechnology Information Center) established integrated management system of agricultural omics information to achieve the agricultural bio-information resources of Korea. The amount of bio-information is enormously increasing due to emergence of NGS(Next Generation Sequencing) technology. We has building, maintaining and providing agricultural bio-information databases and information services. Various data type for submission is available such as genome, proteome, transcriptome, metabolome, molecular marker, etc. We issue the submission confirmation which is available for research achievement. Currently, the amount of data submitted on our system is 4.3Tb. We are planning to integrate genome annotation system and NGS analysis system this year. The Agricultural Omics Information Submission System is available through web site(http://nabic.naas.go.kr/submission).

We have identified ATTIRTA1 transposon, a kind of mariner-type DNA transposon from Brassica rapa genome. A total of 811 inverted-terminal repeat, ITR consisting of the both terminal on ATTIRTA1 transposon were found from B. rapa v1.1 sequence. Among them 616 ITR were paired by two in each transposon, indicating three quarters of the transposon exists in original form. Around 10 percentage of the transposon, 82 ITR was located in gene, expecially only in intron. Using these ATTRRTA1, we developed a display system modified from AFLP technique and applied for this system to analyze genetic diversity of Korea Brassica rapa core collection. The collection includes 220 accessions representing the different morphotypes and geographical origin. The analysis of population structure revealed five subgroups and the clustering patterns matched well with their morphological traits. ATTIRTA1 transposon display seems useful marker system for studying genetic relationships. Presently we have profiled the components and contents of glucosinolate in the core collection to analyze genome wide association. This collection will be helpful to identify agriculturally desirable traits from other supspecies.