Literature DB >> 25483893

Development of a general method for detection and quantification of the P35S promoter based on assessment of existing methods.

Yuhua Wu1, Yulei Wang2, Jun Li1, Wei Li1, Li Zhang3, Yunjing Li1, Xiaofei Li1, Jun Li1, Li Zhu1, Gang Wu1.   

Abstract

The Cauliflower mosaic virus (CaMV) 35S promoter (P35S) is a commonly used target for detection of genetically modified organisms (GMOs). There are currently 24 reported detection methods, targeting different regions of the P35S promoter. Initial assessment revealed that due to the absence of primer binding sites in the P35S sequence, 19 of the 24 reported methods failed to detect P35S in MON88913 cotton, and the other two methods could only be applied to certain GMOs. The rest three reported methods were not suitable for measurement of P35S in some testing events, because SNPs in binding sites of the primer/probe would result in abnormal amplification plots and poor linear regression parameters. In this study, we discovered a conserved region in the P35S sequence through sequencing of P35S promoters from multiple transgenic events, and developed new qualitative and quantitative detection systems targeting this conserved region. The qualitative PCR could detect the P35S promoter in 23 unique GMO events with high specificity and sensitivity. The quantitative method was suitable for measurement of P35S promoter, exhibiting good agreement between the amount of template and Ct values for each testing event. This study provides a general P35S screening method, with greater coverage than existing methods.

Entities:  

Mesh:

Year:  2014        PMID: 25483893      PMCID: PMC4258656          DOI: 10.1038/srep07358

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  28 in total

1.  Decaplex and real-time PCR based detection of MON531 and MON15985 Bt cotton events.

Authors:  Gurinder Jit Randhawa; Rashmi Chhabra; Monika Singh
Journal:  J Agric Food Chem       Date:  2010-09-22       Impact factor: 5.279

2.  Detection and identification of genetically modified EE-1 brinjal (Solanum melongena) by single, multiplex and SYBR® real-time PCR.

Authors:  Rajashekhar V Ballari; Asha Martin; Lalitha R Gowda
Journal:  J Sci Food Agric       Date:  2012-06-22       Impact factor: 3.638

3.  Validation of a newly developed hexaplex real-time PCR assay for screening for presence of GMOs in food, feed and seed.

Authors:  C Bahrdt; A B Krech; A Wurz; D Wulff
Journal:  Anal Bioanal Chem       Date:  2010-01-26       Impact factor: 4.142

4.  Detection of recombinant DNA segments introduced to genetically modified maize (Zea mays).

Authors:  Takeshi Matsuoka; Hideo Kuribara; Ken Takubo; Hiroshi Akiyama; Hirohito Miura; Yukihiro Goda; Yuko Kusakabe; Kenji Isshiki; Masatake Toyoda; Akihiro Hino
Journal:  J Agric Food Chem       Date:  2002-03-27       Impact factor: 5.279

5.  An event-specific DNA microarray to identify genetically modified organisms in processed foods.

Authors:  Jae-Hwan Kim; Su-Youn Kim; Hyungjae Lee; Young-Rok Kim; Hae-Yeong Kim
Journal:  J Agric Food Chem       Date:  2010-05-26       Impact factor: 5.279

6.  Analysis of HIV diversity using a high-resolution melting assay.

Authors:  William I Towler; Maria M James; Stuart C Ray; Lei Wang; Deborah Donnell; Anthony Mwatha; Laura Guay; Clemensia Nakabiito; Philippa Musoke; J Brooks Jackson; Susan H Eshleman
Journal:  AIDS Res Hum Retroviruses       Date:  2010-08       Impact factor: 2.205

7.  A theoretical introduction to "combinatory SYBRGreen qPCR screening", a matrix-based approach for the detection of materials derived from genetically modified plants.

Authors:  Marc Van den Bulcke; Antoon Lievens; Elodie Barbau-Piednoir; Guillaume MbongoloMbella; Nancy Roosens; Myriam Sneyers; Amaya Leunda Casi
Journal:  Anal Bioanal Chem       Date:  2009-12-04       Impact factor: 4.142

8.  Interlaboratory study of qualitative PCR methods for genetically modified maize events MON810, bt11, GA21, and CaMV P35S.

Authors:  Reona Takabatake; Kaori Takashima; Takeyo Kurashima; Junichi Mano; Satoshi Furui; Kazumi Kitta; Tomohiro Koiwa; Hiroshi Akiyama; Reiko Teshima; Satoshi Futo; Yasutaka Minegishi
Journal:  J AOAC Int       Date:  2013 Mar-Apr       Impact factor: 1.913

9.  Qualitative and quantitative polymerase chain reaction analysis for genetically modified maize MON863.

Authors:  Seong-Hun Lee; Dong-Myung Min; Jin-Kug Kim
Journal:  J Agric Food Chem       Date:  2006-02-22       Impact factor: 5.279

10.  The use of 35S and Tnos expression elements in the measurement of genetically engineered plant materials.

Authors:  Marcia J Holden; Marci Levine; Tandace Scholdberg; Ross J Haynes; G Ronald Jenkins
Journal:  Anal Bioanal Chem       Date:  2009-10-25       Impact factor: 4.142

View more
  9 in total

Review 1.  Selected Instrumental Techniques Applied in Food and Feed: Quality, Safety and Adulteration Analysis.

Authors:  Graciela Artavia; Carolina Cortés-Herrera; Fabio Granados-Chinchilla
Journal:  Foods       Date:  2021-05-13

Review 2.  Current perspectives on genetically modified crops and detection methods.

Authors:  Madhu Kamle; Pradeep Kumar; Jayanta Kumar Patra; Vivek K Bajpai
Journal:  3 Biotech       Date:  2017-07-03       Impact factor: 2.406

3.  A Quantitative PCR-Electrochemical Genosensor Test for the Screening of Biotech Crops.

Authors:  Suely Moura-Melo; Rebeca Miranda-Castro; Noemí de-Los-Santos-Álvarez; Arturo J Miranda-Ordieres; José Ribeiro Dos Santos Junior; Rosana A da Silva Fonseca; María Jesús Lobo-Castañón
Journal:  Sensors (Basel)       Date:  2017-04-18       Impact factor: 3.576

4.  Optimised LAMP allows single copy detection of 35Sp and NOSt in transgenic maize using Bioluminescent Assay in Real Time (BART).

Authors:  Patrick Hardinge; Guy Kiddle; Laurence Tisi; James A H Murray
Journal:  Sci Rep       Date:  2018-12-04       Impact factor: 4.379

5.  Targeted Next Generation Sequencing to study insert stability in genetically modified plants.

Authors:  Anne-Laure Boutigny; Audrey Barranger; Claire De Boisséson; Yannick Blanchard; Mathieu Rolland
Journal:  Sci Rep       Date:  2019-02-19       Impact factor: 4.379

6.  Highly sensitive immunosensing platform for one-step detection of genetically modified crops.

Authors:  Hongfei Gao; Luke Wen; Wei Hua; Jing Tian; Yongjun Lin
Journal:  Sci Rep       Date:  2019-11-06       Impact factor: 4.379

7.  Multiplex quantitative PCR for single-reaction genetically modified (GM) plant detection and identification of false-positive GM plants linked to Cauliflower mosaic virus (CaMV) infection.

Authors:  Aurélie Bak; Joanne B Emerson
Journal:  BMC Biotechnol       Date:  2019-11-07       Impact factor: 2.563

8.  Design and Analysis of Native Photorespiration Gene Motifs of Promoter Untranslated Region Combinations Under Short Term Abiotic Stress Conditions.

Authors:  Debarati Basu; Paul F South
Journal:  Front Plant Sci       Date:  2022-02-16       Impact factor: 5.753

9.  A highly sensitive and specific method for the screening detection of genetically modified organisms based on digital PCR without pretreatment.

Authors:  Wei Fu; Pengyu Zhu; Chenguang Wang; Kunlun Huang; Zhixin Du; Wenying Tian; Qin Wang; Huiyu Wang; Wentao Xu; Shuifang Zhu
Journal:  Sci Rep       Date:  2015-08-04       Impact factor: 4.379

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.