Ecklonia cava- Ecotox Genome & Application to Marine Environment Health Assessment

Ecklonia cava- Ecotox Genome & Application to Marine Environment Health Assessment
Alternative Title
Ecklonia cava - Ecotox Genome & Application to Marine Environment Health Assessment
우선옥; 원효경; 염승식
KIOST Author(s)
Yum, Seungshic(염승식)
Publication Year
Environmental stress dramatically induces stress responsiveness in an organism and it affects the related genes expressions. The marine forest consisted of the kelp (macro algae) is identical to the ground forest and is worthy of spawning place as well as shelter for various marine organisms. Also they are very important for marine resources and environment-economic values. This study aimed to screen the differentially expressed genes induced by marine environmental changes at genomic level and to prove those gene expressions represent the individual organisms health as well as real environment. The targeted seaweed is Ecklonia cava known as dominant, plentiful and easily collected in Korean coastal regions. First of all, the RNA extraction method was established E. cava before screening of differentially expressed genes by environmental differences and the DNA sequences of several stress responsive genes were found. Massive screening of the differentially expressed genes by environmental changes was attempted by the construction of E. cava cDNA library. As a result, approximately 2700 genes were collected from the standard library and 11 oxidative stress responsive genes were cloned. We compared the gene expression profiling of E.cava collected in non-contaminated and contaminated sites in polluted areas and investigated that profiling differences could respond to the health status in the real environment.
Bibliographic Citation
6th International Conference on Toxicogenomics 2010, pp.40, 2010
Related Researcher
Research Interests

Marine Genomics,Environmental Genomics,Novel biomaterials,해양생물유전체,생태환경유전체,바이오신소재

Files in This Item:
There are no files associated with this item.


Items in ScienceWatch@KIOST are protected by copyright, with all rights reserved, unless otherwise indicated.