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논문 기본 정보

자료유형
학술저널
저자정보
Park, Doori (Institute of Green Bio Science and Technology, Seoul National University) Kim, Dongin (National Instrumentation Center for Environmental Management, College of Agriculture and Life Sciences, Seoul National University) Jang, Green (National Instrumentation Center for Environmental Management, College of Agriculture and Life Sciences, Seoul National University) Lim, Jongsung (National Instrumentation Center for Environmental Management, College of Agriculture and Life Sciences, Seoul National University) Shin, Yun-Ji (Natural Bio-Materials Inc.) Kim, Jina (Natural Bio-Materials Inc.) Seo, Mi-Seong (Natural Bio-Materials Inc.) Park, Su-Hyun (Crop Biotech Institute, Green-Bio Science and Technology, Seoul National University) Kim, Ju-Kon (Crop Biotech Institute, Green-Bio Science and Technology, Seoul National University) Kwon, Tae-Ho (Natural Bio-Materials Inc.) Choi, Ik-Young (Institute of Green Bio Science and Technology, Seoul National University)
저널정보
한국유전체학회 Genomics & informatics Genomics & informatics 제13권 제3호
발행연도
2015.1
수록면
81 - 85 (5page)

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Molecular characterization technology in genetically modified organisms, in addition to how transgenic biotechnologies are developed now require full transparency to assess the risk to living modified and non-modified organisms. Next generation sequencing (NGS) methodology is suggested as an effective means in genome characterization and detection of transgenic insertion locations. In the present study, we applied NGS to insert transgenic loci, specifically the epidermal growth factor (EGF) in genetically modified rice cells. A total of 29.3 Gb (${\sim}72{\times}coverage$) was sequenced with a $2{\times}150bp$ paired end method by Illumina HiSeq2500, which was consecutively mapped to the rice genome and T-vector sequence. The compatible pairs of reads were successfully mapped to 10 loci on the rice chromosome and vector sequences were validated to the insertion location by polymerase chain reaction (PCR) amplification. The EGF transgenic site was confirmed only on chromosome 4 by PCR. Results of this study demonstrated the success of NGS data to characterize the rice genome. Bioinformatics analyses must be developed in association with NGS data to identify highly accurate transgenic sites.

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