Regulation of OsSPL14 by OsmiR156 defines ideal plant architecture in rice
Abstract
Increasing crop yield is a major challenge for modern agriculture. The development of new plant types, which is known as ideal plant architecture (IPA), has been proposed as a means to enhance rice yield potential over that of existing high-yield varieties. Here, we report the cloning and characterization of a semidominant quantitative trait locus, IPA1 (Ideal Plant Architecture 1), which profoundly changes rice plant architecture and substantially enhances rice grain yield. The IPA1 quantitative trait locus encodes OsSPL14 (SOUAMOSA PROMOTER BINDING PROTEIN-LIKE 14) and is regulated by microRNA (miRNA) OsmiR156 in vivo. We demonstrate that a point mutation in OsSPL14 perturbs OsmiR156-directed regulation of OsSPL14, generating an 'ideal' rice plant with a reduced tiller number, increased lodging resistance and enhanced grain yield. Our study suggests that OsSPL14 may help improve rice grain yield by facilitating the breeding of new elite rice varieties.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Map based cloning attempts to isolate the quantitative trait loci that determine IPA resulted in the isolation of IPA1/OsSPL14, which is expressed at the shoot tip and in developing branches.
“Map based cloning attempts to isolate the quantitative trait loci that determine IPA resulted in the isolation of IPA1/OsSPL14, which is expressed at the shoot tip and in developing branches.”
From Shaping plant architecture (2015) · cites this paper as Jiao et al., 2010
IPA1/OsSPL14 is negatively regulated by the microRNA OsmiR156.
“This gene is negatively regulated by the microRNA OsmiR156.”
From Shaping plant architecture (2015) · cites this paper as Jiao et al., 2010
With respect to rice, the IPA ideotype is characterized by low tiller number, high tiller productivity and a thick and strong culm.
“With respect to rice, this ideotype is characterized by low tiller number, high tiller productivity and a thick and strong culm (Jiao et al., 2010; Lu et al., 2013).”
From Shaping plant architecture (2015) · cites this paper as Jiao et al., 2010
The low tillering Oryza japonica lines ST-12 and Shaoniejing carry a mutation in the miR156 complementary site.
“The low tillering Oryza japonica lines ST-12 and Shaoniejing that were independently analyzed by Jiao et al. (2010) and Miura et al. (2010), respectively, carry a mutation in the miR156 complementary site.”
From Shaping plant architecture (2015) · cites this paper as Jiao et al., 2010
Cited by
Sorted by citations
Multiple pathways regulate shoot branching
Rameau, C., Bertheloot, J., Leduc, N., Andrieu, B., Foucher, F., & Sakr, S. (2015) · Frontiers in Plant Science · doi:10.3389/fpls.2014.00741 · Cited by 357 · see citing works
Teichmann, T., & Muhr, M. (2015) · Frontiers in Plant Science · doi:10.3389/fpls.2015.00233 · Cited by 228 · see citing works
“The low tillering Oryza japonica lines ST-12 and Shaoniejing that were independently analyzed by Jiao et al. (2010) and Miura Frontiers in Plant Science | www.frontiersin.org 10 April 2015 | Volume 6 | Article 233 et al. (2010), respectively, carry a mutation in the miR156 complementary site.”
BackgroundImproved plant cytosine base editors with high editing activity, purity, and specificity
Ren, Q., Sretenovic, S., Liu, G., Zhong, Z., Wang, J., Huang, L., Tang, X., Guo, Y., Liu, L., Wu, Y., et al. (2021) · Plant Biotechnology Journal · doi:10.1111/pbi.13635 · Cited by 131 · see citing works
Tian, C., Zhang, X., He, J., Yu, H., Wang, Y., Shi, B., Han, Y., Wang, G., Feng, X., Zhang, C., et al. (2014) · Molecular Systems Biology · doi:10.15252/msb.20145470 · Cited by 133 · see citing works
Self-citation<i>Divide et impera</i>: boundaries shape the plant body and initiate new meristems
Wang, Q., Hasson, A., Rossmann, S., & Theres, K. (2016) · New Phytologist · doi:10.1111/nph.13641 · Cited by 106 · see citing works
Integrated approaches for increasing plant yield under salt stress
Ahmad, I., Zhu, G., Zhou, G., Younas, M. U., Suliman, M. S. E., Liu, J., Zhu, Y. M., & Salih, E. G. I. (2023) · Frontiers in Plant Science · doi:10.3389/fpls.2023.1215343 · Cited by 48 · see citing works
“Similarly, rice overdominance ipa1-1D and tomato sft genes increased plant photosynthetic activities, enhanced dry matter accumulation in sink, and increased yield (Jiao et al., 2010; Krieger et al., 2010).”
BackgroundNoncoding RNA: from dark matter to bright star
Xue, Y., Chen, R., Qu, L., & Cao, X. (2020) · Science China Life Sciences · doi:10.1007/s11427-020-1676-5 · Cited by 38 · see citing works
- Authors
- Jiao, Y., Wang, Y., Xue, D., Wang, J., Yan, M., Liu, G., Dong, G., Zeng, D., Lu, Z., Zhu, X., Qian, Q., & Li, J.
- Affiliations
- Chinese Academy of Sciences (CN)
- Hangzhou Normal University (CN)
- Chinese Academy of Agricultural Sciences (CN)
- Corresponding author
- Qian, Qian
- Li, Jiayang
- ORCID
- Venue
- Nature Genetics
- Published
- 2010-05-23
- Volume
- 42
- Issue
- 6
- Pages
- 541-544
- ISSN
- 1061-4036 (ISSN-L)
- 1546-1718
- OpenAlex
- W2078613795
- Cited by
- 1,528
- References
- 0
- Citations by year
- 2026: 97 · 2025: 117 · 2024: 133 · 2023: 135 · 2022: 149 · 2021: 148 · 2020: 127 · 2019: 114 · 2018: 82 · 2017: 75 · 2016: 54 · 2015: 70 · 2014: 49 · 2013: 63 · 2012: 48
- FWCI
- 68.14
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature Genetics (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Agricultural and Biological Sciences › Plant Science › Plant Molecular Biology Research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Mapping and Diversity in Plants and Animals
- Life Sciences › Agricultural and Biological Sciences › Plant Science › Rice Cultivation and Yield Improvement
- Keywords
- rice, grain yield, quantitative trait loci, positional cloning, microRNA regulation, tiller number, lodging resistance, SPL transcription factors, point mutations
- MeSH terms
- Base Sequence, Cloning, Molecular, Molecular Sequence Data, Phenotype, Oryza, Genes, Plant, Point Mutation, Gene Expression Regulation, Plant, Crops, Agricultural, Plants, Genetically Modified, MicroRNAs, Quantitative Trait Loci
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
