The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Arabidopsis Enhanced Drought Tolerance1/HOMEODOMAIN GLABROUS11 Confers Drought Tolerance in Transgenic Rice without Yield Penalty
Open accessAbstract
Enhancing drought tolerance without yield decrease has been a great challenge in crop improvement. Here, we report the Arabidopsis (Arabidopsis thaliana) homodomain-leucine zipper transcription factor Enhanced Drought Tolerance/HOMEODOMAIN GLABROUS11 (EDT1/HDG11) was able to confer drought tolerance and increase grain yield in transgenic rice (Oryza sativa) plants. The improved drought tolerance was associated with a more extensive root system, reduced stomatal density, and higher water use efficiency. The transgenic rice plants also had higher levels of abscisic acid, proline, soluble sugar, and reactive oxygen species-scavenging enzyme activities during stress treatments. The increased grain yield of the transgenic rice was contributed by improved seed setting, larger panicle, and more tillers as well as increased photosynthetic capacity. Digital gene expression analysis indicated that AtEDT1/HDG11 had a significant influence on gene expression profile in rice, which was consistent with the observed phenotypes of transgenic rice plants. Our study shows that AtEDT1/HDG11 can improve both stress tolerance and grain yield in rice, demonstrating the efficacy of AtEDT1/HDG11 in crop improvement.
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
Colorimetric Method for Determination of Sugars and Related Substances
DuBois, M., Gilles, K. A., Hamilton, J. K., Rebers, P. A., & Smith, F. (1956) · Analytical Chemistry · doi:10.1021/ac60111a017 · Cited by 52,269
Rapid determination of free proline for water-stress studies
Bates, L. S., Waldren, R. P., & Teare, I. D. (1973) · Plant and Soil · doi:10.1007/bf00018060 · Cited by 20,967
Mapping and quantifying mammalian transcriptomes by RNA-Seq
Mortazavi, A., Williams, B. A., McCue, K., Schaeffer, L., & Wold, B. (2008) · Nature Methods · doi:10.1038/nmeth.1226 · Cited by 13,696
Plant productivity and environment
Boyer, J. S. (1982) · Science · doi:10.1126/science.218.4571.443 · Cited by 3,959
Engineering drought tolerance in plants: discovering and tailoring genes to unlock the future
Umezawa, T., Fujita, M., Fujita, Y., Yamaguchi-Shinozaki, K., & Shinozaki, K. (2006) · Current Opinion in Biotechnology · doi:10.1016/j.copbio.2006.02.002 · Cited by 802
Diédhiou, C. J., Popova, O. V., Dietz, K.-J., & Golldack, D. (2008) · BMC Plant Biology · doi:10.1186/1471-2229-8-49 · Cited by 251
Inheritance of Root Characters and their Relations to Drought Resistance in Rice1
Ekanayake, I. J., O'Toole, J. C., Garrity, D. P., & Masajo, T. M. (1985) · Crop Science · doi:10.2135/cropsci1985.0011183x002500060007x · Cited by 209
Cited by
Impact of stomatal density and morphology on water-use efficiency in a changing world
Bertolino, L. T., Caine, R. S., & Gray, J. E. (2019) · Frontiers in Plant Science · doi:10.3389/fpls.2019.00225 · Cited by 706
Protein kinases in plant responses to drought, salt, and cold stress
Chen, X., Ding, Y., Yang, Y., Song, C., Wang, B., Yang, S., Guo, Y., & Gong, Z. (2021) · Journal of Integrative Plant Biology · doi:10.1111/jipb.13061 · Cited by 608
Self-citationLeakey, A. D. B., Ferguson, J. N., Pignon, C. P., Wu, A., Jin, Z., Hammer, G. L., & Lobell, D. B. (2019) · Annual Review of Plant Biology · doi:10.1146/annurev-arplant-042817-040305 · Cited by 372
Coping with drought: stress and adaptive responses in potato and perspectives for improvement
Obidiegwu, J. E. (2015) · Frontiers in Plant Science · doi:10.3389/fpls.2015.00542 · Cited by 362
Drought Tolerance in Rice: Focus on Recent Mechanisms and Approaches
Panda, D., Mishra, S. S., & Behera, P. K. (2021) · Rice Science · doi:10.1016/j.rsci.2021.01.002 · Cited by 331
Metadata
- Authors
- Yu, L., Chen, X., Wang, Z., Wang, S., Wang, Y., Zhu, Q., Li, S., & Xiang, C.
- Venue
- Plant Physiology
- Publisher
- Oxford University Press (OUP)
- Published
- 2013-06-07
- Volume
- 162
- Issue
- 3
- Pages
- 1378-1391
- ISSN
- 0032-0889 (ISSN-L)
- 1532-2548
- OpenAlex
- W1993812766
- Cited by
- 224
- References
- 7
- FWCI
- 21.69
- Type
- journal article
- Language
- en
- Open access
- hybrid
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
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.
