Literature DB >> 24328125

Quantification of transgene-derived double-stranded RNA in plants using the QuantiGene nucleic acid detection platform.

Toni A Armstrong1, Hao Chen, Todd E Ziegler, Kelly R Iyadurai, Ai-Guo Gao, Yongcheng Wang, Zihong Song, Qing Tian, Qiang Zhang, Jason M Ward, Gerrit C Segers, Gregory R Heck, Jeffrey M Staub.   

Abstract

The expanding use of RNA interference (RNAi) in agricultural biotechnology necessitates tools for characterizing and quantifying double-stranded RNA (dsRNA)-containing transcripts that are expressed in transgenic plants. We sought to detect and quantify such transcripts in transgenic maize lines engineered to control western corn rootworm (Diabrotica virgifera virgifera LeConte) via overexpression of an inverted repeat sequence bearing a portion of the putative corn rootworm orthologue of yeast Snf7 (DvSnf7), an essential component of insect cell receptor sorting. A quantitative assay was developed to detect DvSnf7 sense strand-containing dsRNA transcripts that is based on the QuantiGene Plex 2.0 RNA assay platform from Affymetrix. The QuantiGene assay utilizes cooperative binding of multiple oligonucleotide probes with specificity for the target sequence resulting in exceptionally high assay specificity. Successful implementation of this assay required heat denaturation in the presence of the oligonucleotide probes prior to hybridization, presumably to dissociate primary transcripts carrying the duplex dsRNA structure. The dsRNA assay was validated using a strategy analogous to the rigorous enzyme-linked immunosorbent assay evaluations that are typically performed for foreign proteins expressed in transgenic plants. Validation studies indicated that the assay is sensitive (to 10 pg of dsRNA/g of fresh tissue), highly reproducible, and linear over ∼2.5 logs. The assay was validated using purified RNA from multiple maize tissue types, and studies indicate that the assay is also quantitative in crude tissue lysates. To the best of our knowledge, this is the first report of a non-polymerase chain reaction-based quantitative assay for dsRNA-containing transcripts, based on the use of the QuantiGene technology platform, and will broadly facilitate characterization of dsRNA in biological and environmental samples.

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Year:  2013        PMID: 24328125     DOI: 10.1021/jf4031458

Source DB:  PubMed          Journal:  J Agric Food Chem        ISSN: 0021-8561            Impact factor:   5.279


  7 in total

1.  A High-Throughput Method for Direct Detection of Therapeutic Oligonucleotide-Induced Gene Silencing In Vivo.

Authors:  Andrew H Coles; Maire F Osborn; Julia F Alterman; Anton A Turanov; Bruno M D C Godinho; Lori Kennington; Kathryn Chase; Neil Aronin; Anastasia Khvorova
Journal:  Nucleic Acid Ther       Date:  2015-11-23       Impact factor: 5.486

2.  Environmental fate of double-stranded RNA in agricultural soils.

Authors:  Samuel Dubelman; Joshua Fischer; Fatima Zapata; Kristin Huizinga; Changjian Jiang; Joshua Uffman; Steven Levine; David Carson
Journal:  PLoS One       Date:  2014-03-27       Impact factor: 3.240

3.  No impact of DvSnf7 RNA on honey bee (Apis mellifera L.) adults and larvae in dietary feeding tests.

Authors:  Jianguo Tan; Steven L Levine; Pamela M Bachman; Peter D Jensen; Geoffrey M Mueller; Joshua P Uffman; Chen Meng; Zihong Song; Kathy B Richards; Michael H Beevers
Journal:  Environ Toxicol Chem       Date:  2015-11-09       Impact factor: 3.742

4.  Trunk injection delivery of dsRNA for RNAi-based pest control in apple trees.

Authors:  John C Wise; Annabel G Wise; Mamy Rakotondravelo; Christine Vandervoort; Candace Seeve; Brad Fabbri
Journal:  Pest Manag Sci       Date:  2022-06-07       Impact factor: 4.462

5.  RNase If -treated quantitative PCR for dsRNA quantitation of RNAi trait in genetically modified crops.

Authors:  Po-Hao Wang; Greg Schulenberg; Shannon Whitlock; Andrew Worden; Ning Zhou; Stephen Novak; Wei Chen
Journal:  BMC Biotechnol       Date:  2018-01-17       Impact factor: 2.563

6.  Development and characterization of the first dsRNA-resistant insect population from western corn rootworm, Diabrotica virgifera virgifera LeConte.

Authors:  Chitvan Khajuria; Sergey Ivashuta; Elizabeth Wiggins; Lex Flagel; William Moar; Michael Pleau; Kaylee Miller; Yuanji Zhang; Parthasarathy Ramaseshadri; Changjian Jiang; Tracey Hodge; Peter Jensen; Mao Chen; Anilkumar Gowda; Brian McNulty; Cara Vazquez; Renata Bolognesi; Jeffrey Haas; Graham Head; Thomas Clark
Journal:  PLoS One       Date:  2018-05-14       Impact factor: 3.240

Review 7.  RNAi for Western Corn Rootworm Management: Lessons Learned, Challenges, and Future Directions.

Authors:  Molly Darlington; Jordan D Reinders; Amit Sethi; Albert L Lu; Partha Ramaseshadri; Joshua R Fischer; Chad J Boeckman; Jay S Petrick; Jason M Roper; Kenneth E Narva; Ana M Vélez
Journal:  Insects       Date:  2022-01-05       Impact factor: 2.769

  7 in total

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