The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Improvement of Pest Resistance in Transgenic Tobacco Plants Expressing dsRNA of an Insect-Associated Gene EcR
Open accessAbstract
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.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Mao, Y.-B., Cai, W.-J., Wang, J.-W., Hong, G.-J., Tao, X.-Y., Wang, L.-J., Huang, Y.-P., & Chen, X.-Y. (2007) · Nature Biotechnology · doi:10.1038/nbt1352 · Cited by 1,358 · cited 1×
“armigera [23,24], the western corn rootworm, Diabrotica virgifera [25], and the pea aphid, Acyrthosiphon pisum [26].”
BackgroundEcdysone receptors and their biological actions
Riddiford, L. M., Cherbas, P., & Truman, J. W. (2000) · Vitamins & Hormones · doi:10.1016/s0083-6729(00)60016-x · Cited by 605
Cited by
Joga, M. R., Zotti, M. J., Smagghe, G., & Christiaens, O. (2016) · Frontiers in Physiology · doi:10.3389/fphys.2016.00553 · Cited by 521
Bolognesi, R., Ramaseshadri, P., Anderson, J., Bachman, P., Clinton, W., Flannagan, R., Ilagan, O., Lawrence, C., Levine, S., Moar, W., et al. (2012) · PLoS ONE · doi:10.1371/journal.pone.0047534 · Cited by 473
Full crop protection from an insect pest by expression of long double-stranded RNAs in plastids
Zhang, J., Khan, S. A., Hasse, C., Ruf, S., Heckel, D. G., & Bock, R. (2015) · Science · doi:10.1126/science.1261680 · Cited by 471
Self-citationRNA interference technology in crop protection against arthropod pests, pathogens and nematodes
Zotti, M., dos Santos, E. A., Cagliari, D., Christiaens, O., Taning, C. N. T., & Smagghe, G. (2018) · Pest Management Science · doi:10.1002/ps.4813 · Cited by 465
Next-generation insect-resistant plants: RNAi-mediated crop protection
Zhang, J., Khan, S. A., Heckel, D. G., & Bock, R. (2017) · Trends in Biotechnology · doi:10.1016/j.tibtech.2017.04.009 · Cited by 348
Self-citation
Metadata
- Authors
- Zhu, J.-Q., Liu, S., Ma, Y., Zhang, J.-Q., Qi, H.-S., Wei, Z.-J., Yao, Q., Zhang, W.-Q., & Li, S.
- Venue
- PLoS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2012-06-07
- Volume
- 7
- Issue
- 6
- Pages
- e38572
- ISSN
- 1932-6203 (ISSN-L)
- OpenAlex
- W2023177226
- Cited by
- 170
- References
- 2
- FWCI
- 4.07
- Type
- journal article
- Language
- en
- Open access
- gold
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Improvement of Pest Resistance in Transgenic Tobacco Plants Expressing dsRNA of an Insect-Associated Gene EcR. https://app.cochat.ai/papers/10.1371/journal.pone.0038572
- The paper
- Zhu, J.-Q., Liu, S., Ma, Y., Zhang, J.-Q., Qi, H.-S., Wei, Z.-J., Yao, Q., Zhang, W.-Q., & Li, S. (2012). Improvement of Pest Resistance in Transgenic Tobacco Plants Expressing dsRNA of an Insect-Associated Gene EcR. PLoS ONE. https://doi.org/10.1371/journal.pone.0038572
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.