The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
The rice mitochondrial iron transporter is essential for plant growth
Open accessAbstract
In plants, iron (Fe) is essential for mitochondrial electron transport, heme, and Fe-Sulphur (Fe-S) cluster synthesis; however, plant mitochondrial Fe transporters have not been identified. Here we show, identify and characterize the rice mitochondrial Fe transporter (MIT). Based on a transfer DNA library screen, we identified a rice line showing symptoms of Fe deficiency while accumulating high shoot levels of Fe. Homozygous knockout of MIT in this line resulted in a lethal phenotype. MIT localized to the mitochondria and complemented the growth of Δmrs3Δmrs4 yeast defective in mitochondrial Fe transport. The growth of MIT-knockdown (mit-2) plants was also significantly impaired despite abundant Fe accumulation. Further, the decrease in the activity of the mitochondrial and cytosolic Fe-S enzyme, aconitase, indicated that Fe-S cluster synthesis is affected in mit-2 plants. These results indicate that MIT is a mitochondrial Fe transporter essential for rice growth and development. Increasing the nutritional content of plant crops and the identification of iron transporters in rice would facilitate the improvement of rice varieties. In this study, the authors identify a mitochondrial iron transporter in rice — MIT — and suggest that this gene is important for rice growth and development.
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
Iron-sulfur clusters: nature's modular, multipurpose structures
Beinert, H., Holm, R. H., & Münck, E. (1997) · Science · doi:10.1126/science.277.5326.653 · Cited by 1,944
Mitoferrin is essential for erythroid iron assimilation
Shaw, G. C., Cope, J. J., Li, L., Corson, K., Hersey, C., Ackermann, G. E., Gwynn, B., Lambert, A. J., Wingert, R. A., Traver, D., et al. (2006) · Nature · doi:10.1038/nature04512 · Cited by 624
Foury, F., & Roganti, T. (2002) · Journal of Biological Chemistry · doi:10.1074/jbc.m111789200 · Cited by 171
Cited by
ROLE OF IRON IN PLANT GROWTH AND METABOLISM
Rout, G. R., & Sahoo, S. (2015) · Reviews in Agricultural Science · doi:10.7831/ras.3.1 · Cited by 958
Trace metal metabolism in plants
Andresen, E., Peiter, E., & Küpper, H. (2018) · Journal of Experimental Botany · doi:10.1093/jxb/erx465 · Cited by 431
The Adaptive Mechanism of Plants to Iron Deficiency via Iron Uptake, Transport, and Homeostasis
Zhang, X., Zhang, D., Sun, W., & Wang, T. (2019) · International Journal of Molecular Sciences · doi:10.3390/ijms20102424 · Cited by 258
Thakur, M., Praveen, S., Divte, P. R., Mitra, R., Kumar, M., Gupta, C. K., Kalidindi, U., Bansal, R., Roy, S., Anand, A., et al. (2022) · Chemosphere · doi:10.1016/j.chemosphere.2021.131957 · Cited by 167
Jogawat, A., Yadav, B., Chhaya, & Narayan, O. P. (2021) · Physiologia Plantarum · doi:10.1111/ppl.13370 · Cited by 140
Metadata
- Authors
- Bashir, K., Ishimaru, Y., Shimo, H., Nagasaka, S., Fujimoto, M., Takanashi, H., Tsutsumi, N., An, G., Nakanishi, H., & Nishizawa, N. K.
- Venue
- Nature Communications
- Published
- 2011-05-24
- Volume
- 2
- Issue
- 1
- Pages
- 322-322
- ISSN
- 2041-1723 (ISSN-L)
- OpenAlex
- W2004525492
- Cited by
- 171
- References
- 3
- FWCI
- 13.08
- 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.