P0962
Translational and Comparative Genome Analysis of Abiotic Stress-Responsive Genes Between Arabidopsis and Medicago truncatula

Chaeyoung Lee , Dong-A University, Busan, South Korea
Jin-Hyun Kim , Dong-A University, Busan, South Korea
Joo-Seok Park , Dong-A University, Busan, South Korea
Daejin Hyung , Dong-A University, Busan, South Korea
Hong-kyu Choi , Dong-A University, Busan, South Korea
Cross-species translation of genomic information may play a pivotal role in applying biological knowledge gained from relatively simple model system to other less studied, but related, genomes. The information of abiotic stress (ABS)-responsive genes in Arabidopsis was identified and translated into the legume model system, Medicago truncatula. Various data resources, such as TAIR/AtGI DB, expression profiles and literatures, were used to build a genome-wide list of ABS genes. tBlastX/BlastP similarity search tools and manual inspection of alignments were used to identify orthologous genes between the two genomes. A total of 1,377 genes were finally collected and classified into 18 functional criteria of gene ontology. The data analysis according to the expression cues showed substantial level of interaction among drought, salinity and cold stress. In an attempt to translate the ABS genes between these two species, genomic locations for each gene were mapped using an in-house-developed comparative analysis platform. The comparative analysis revealed fragmental colinearity represented by only 37 synteny blocks between the two model species. Based on the combination of E-value and alignment remarks, estimated translation rate was 60.2% for this cross-family translation. As a prelude of the functional comparative genomic approaches, one of the sub-networks was integrated with corresponding comparative map. The results demonstrated that core members of the sub-network were well aligned with previously reported ABS regulatory networks. Taken together, the results indicate that network-based integrative approaches of comparative and functional genomics are important to interpret and translate genomic information for complex traits such as abiotic stresses.