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논문 기본정보
Efficiency to Discovery Transgenic Loci in GM Rice Using Next Generation Sequencing Whole Genome Re-sequencing
논문 개요
| 기관명 | NDSL |
|---|---|
| 저널명 | Genomics informatics |
| ISSN | 1598-866x,2234-0742 |
| ISBN |
논문저자 및 소속기관 정보
| 저자(한글) | Park, Doori,Kim, Dongin,Jang, Green,Lim, Jongsung,Shin, Yun-Ji,Kim, Jina,Seo, Mi-Seong,Park, Su-Hyun,Kim, Ju-Kon,Kwon, Tae-Ho,Choi, Ik-Young |
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| 저자(영문) | |
| 소속기관 | |
| 소속기관(영문) | |
| 출판인 | |
| 간행물 번호 | |
| 발행연도 | 2015-01-01 |
| 초록 | 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. |
| 원문URL | http://click.ndsl.kr/servlet/OpenAPIDetailView?keyValue=03553784&target=NART&cn=JAKO201508949924496 |
| 첨부파일 |
추가정보
| 과학기술표준분류 | |
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| ICT 기술분류 | |
| DDC 분류 | |
| 주제어 (키워드) | genetically modified organisms,next generation sequencing (NGS) T-DNA,rice,risk assessment |