Efficiency to Discovery Transgenic Loci in GM Rice Using Next Generation Sequencing Whole Genome Re-sequencing

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 effecti...

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Main Authors: Doori Park, Dongin Kim, Green Jang, Jongsung Lim, Yun-Ji Shin, Jina Kim, Mi-Seong Seo, Su-Hyun Park, Ju-Kon Kim, Tae-Ho Kwon, Ik-Young Choi
Format: Article
Language:English
Published: BioMed Central 2015-09-01
Series:Genomics & Informatics
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Online Access:http://genominfo.org/upload/pdf/gni-13-81.pdf
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author Doori Park
Dongin Kim
Green Jang
Jongsung Lim
Yun-Ji Shin
Jina Kim
Mi-Seong Seo
Su-Hyun Park
Ju-Kon Kim
Tae-Ho Kwon
Ik-Young Choi
author_facet Doori Park
Dongin Kim
Green Jang
Jongsung Lim
Yun-Ji Shin
Jina Kim
Mi-Seong Seo
Su-Hyun Park
Ju-Kon Kim
Tae-Ho Kwon
Ik-Young Choi
author_sort Doori Park
collection DOAJ
description 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 (~72× coverage) was sequenced with a 2 × 150 bp 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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institution Kabale University
issn 1598-866X
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language English
publishDate 2015-09-01
publisher BioMed Central
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series Genomics & Informatics
spelling doaj-art-d297f117fc714771adb306a3e44bf0cd2025-02-02T17:03:11ZengBioMed CentralGenomics & Informatics1598-866X2234-07422015-09-01133818510.5808/GI.2015.13.3.81157Efficiency to Discovery Transgenic Loci in GM Rice Using Next Generation Sequencing Whole Genome Re-sequencingDoori Park0Dongin Kim1Green Jang2Jongsung Lim3Yun-Ji Shin4Jina Kim5Mi-Seong Seo6Su-Hyun Park7Ju-Kon Kim8Tae-Ho Kwon9Ik-Young Choi10Institute of Green Bio Science and Technology, Seoul National University, Pyeongchang 25354, Korea.National Instrumentation Center for Environmental Management, College of Agriculture and Life Sciences, Seoul National University, Seoul 08826, Korea.National Instrumentation Center for Environmental Management, College of Agriculture and Life Sciences, Seoul National University, Seoul 08826, Korea.National Instrumentation Center for Environmental Management, College of Agriculture and Life Sciences, Seoul National University, Seoul 08826, Korea.Natural Bio-Materials Inc., Wanju 55322, Korea.Natural Bio-Materials Inc., Wanju 55322, Korea.Natural Bio-Materials Inc., Wanju 55322, Korea.Crop Biotech Institute, Green-Bio Science and Technology, Seoul National University, Pyeongchang 25354, Korea.Crop Biotech Institute, Green-Bio Science and Technology, Seoul National University, Pyeongchang 25354, Korea.Natural Bio-Materials Inc., Wanju 55322, Korea.Natural Bio-Materials Inc., Wanju 55322, Korea.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 (~72× coverage) was sequenced with a 2 × 150 bp 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.http://genominfo.org/upload/pdf/gni-13-81.pdfgenetically modified organismsnext generation sequencing (NGS) T-DNAricerisk assessment
spellingShingle Doori Park
Dongin Kim
Green Jang
Jongsung Lim
Yun-Ji Shin
Jina Kim
Mi-Seong Seo
Su-Hyun Park
Ju-Kon Kim
Tae-Ho Kwon
Ik-Young Choi
Efficiency to Discovery Transgenic Loci in GM Rice Using Next Generation Sequencing Whole Genome Re-sequencing
Genomics & Informatics
genetically modified organisms
next generation sequencing (NGS) T-DNA
rice
risk assessment
title Efficiency to Discovery Transgenic Loci in GM Rice Using Next Generation Sequencing Whole Genome Re-sequencing
title_full Efficiency to Discovery Transgenic Loci in GM Rice Using Next Generation Sequencing Whole Genome Re-sequencing
title_fullStr Efficiency to Discovery Transgenic Loci in GM Rice Using Next Generation Sequencing Whole Genome Re-sequencing
title_full_unstemmed Efficiency to Discovery Transgenic Loci in GM Rice Using Next Generation Sequencing Whole Genome Re-sequencing
title_short Efficiency to Discovery Transgenic Loci in GM Rice Using Next Generation Sequencing Whole Genome Re-sequencing
title_sort efficiency to discovery transgenic loci in gm rice using next generation sequencing whole genome re sequencing
topic genetically modified organisms
next generation sequencing (NGS) T-DNA
rice
risk assessment
url http://genominfo.org/upload/pdf/gni-13-81.pdf
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