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Improvement of Pest Resistance in Transgenic Tobacco Plants Expressing dsRNA of an Insect-Associated Gene EcR

Overview of attention for article published in PLOS ONE, June 2012
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Title
Improvement of Pest Resistance in Transgenic Tobacco Plants Expressing dsRNA of an Insect-Associated Gene EcR
Published in
PLOS ONE, June 2012
DOI 10.1371/journal.pone.0038572
Pubmed ID
Authors

Jin-Qi Zhu, Shumin Liu, Yao Ma, Jia-Qi Zhang, Hai-Sheng Qi, Zhao-Jun Wei, Qiong Yao, Wen-Qing Zhang, Sheng Li

Abstract

The adoption of pest-resistant transgenic plants to reduce yield loss and pesticide utilization has been successful in the past three decades. Recently, transgenic plant expressing double-stranded RNA (dsRNA) targeting pest genes emerges as a promising strategy for improving pest resistance in crops. The steroid hormone, 20-hydroxyecdysone (20E), predominately controls insect molting via its nuclear receptor complex, EcR-USP. Here we report that pest resistance is improved in transgenic tobacco plants expressing dsRNA of EcR from the cotton bollworm, Helicoverpa armigera, a serious lepidopteran pest for a variety of crops. When H. armigera larvae were fed with the whole transgenic tobacco plants expressing EcR dsRNA, resistance to H. armigera was significantly improved in transgenic plants. Meanwhile, when H. armigera larvae were fed with leaves of transgenic tobacco plants expressing EcR dsRNA, its EcR mRNA level was dramatically decreased causing molting defects and larval lethality. In addition, the transgenic tobacco plants expressing H. armigera EcR dsRNA were also resistant to another lepidopteran pest, the beet armyworm, Spodoptera exigua, due to the high similarity in the nucleotide sequences of their EcR genes. This study provides additional evidence that transgenic plant expressing dsRNA targeting insect-associated genes is able to improve pest resistance.

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Geographical breakdown

Country Count As %
United States 2 2%
China 1 <1%
Kenya 1 <1%
Slovenia 1 <1%
Unknown 125 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 34 26%
Student > Bachelor 24 18%
Researcher 16 12%
Student > Master 14 11%
Student > Doctoral Student 8 6%
Other 13 10%
Unknown 21 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 69 53%
Biochemistry, Genetics and Molecular Biology 23 18%
Environmental Science 4 3%
Pharmacology, Toxicology and Pharmaceutical Science 1 <1%
Computer Science 1 <1%
Other 7 5%
Unknown 25 19%