The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Negative Regulation of Anthocyanin Biosynthesis in Arabidopsis by a miR156-Targeted SPL Transcription Factor
Open accessAbstract
Flavonoids are synthesized through an important metabolic pathway that leads to the production of diverse secondary metabolites, including anthocyanins, flavonols, flavones, and proanthocyanidins. Anthocyanins and flavonols are derived from Phe and share common precursors, dihydroflavonols, which are substrates for both flavonol synthase and dihydroflavonol 4-reductase. In the stems of Arabidopsis thaliana, anthocyanins accumulate in an acropetal manner, with the highest level at the junction between rosette and stem. We show here that this accumulation pattern is under the regulation of miR156-targeted SQUAMOSA PROMOTER BINDING PROTEIN-LIKE (SPL) genes, which are deeply conserved and known to have important roles in regulating phase change and flowering. Increased miR156 activity promotes accumulation of anthocyanins, whereas reduced miR156 activity results in high levels of flavonols. We further provide evidence that at least one of the miR156 targets, SPL9, negatively regulates anthocyanin accumulation by directly preventing expression of anthocyanin biosynthetic genes through destabilization of a MYB-bHLH-WD40 transcriptional activation complex. Our results reveal a direct link between the transition to flowering and secondary metabolism and provide a potential target for manipulation of anthocyanin and flavonol content in plants.
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
Advances in flavonoid research since 1992
Harborne, J. B., & Williams, C. A. (2000) · Phytochemistry · doi:10.1016/s0031-9422(00)00235-1 · Cited by 3,956
Specific effects of microRNAs on the plant transcriptome
Schwab, R., Palatnik, J. F., Riester, M., Schommer, C., Schmid, M., & Weigel, D. (2005) · Developmental Cell · doi:10.1016/j.devcel.2005.01.018 · Cited by 1,467
Self-citation
Cited by
Xu, M., Hu, T., Zhao, J., Park, M.-Y., Earley, K. W., Wu, G., Yang, L., & Poethig, R. S. (2016) · PLOS Genetics · doi:10.1371/journal.pgen.1006263 · Cited by 586
Zhou, H., Lin‐Wang, K., Wang, H., Gu, C., Dare, A. P., Espley, R. V., He, H., Allan, A. C., & Han, Y. (2015) · The Plant Journal · doi:10.1111/tpj.12792 · Cited by 522
The role of volatiles in plant communication
Bouwmeester, H., Schuurink, R. C., Bleeker, P. M., & Schiestl, F. (2019) · The Plant Journal · doi:10.1111/tpj.14496 · Cited by 396
A Two-Step Model for de Novo Activation of WUSCHEL during Plant Shoot Regeneration
Zhang, T.-Q., Lian, H., Zhou, C.-M., Xu, L., Jiao, Y., & Wang, J.-W. (2017) · The Plant Cell · doi:10.1105/tpc.16.00863 · Cited by 357
Self-citationDavies, K. M., Albert, N. W., & Schwinn, K. E. (2012) · Functional Plant Biology · doi:10.1071/fp12195 · Cited by 339
Metadata
- Authors
- Gou, J.-Y., Felippes, F. F., Liu, C.-J., Weigel, D., & Wang, J.-W.
- Venue
- The Plant Cell
- Publisher
- Oxford University Press (OUP)
- Published
- 2011-04-01
- Volume
- 23
- Issue
- 4
- Pages
- 1512-1522
- ISSN
- 1040-4651 (ISSN-L)
- 1532-298X
- OpenAlex
- W2117839341
- Cited by
- 953
- References
- 2
- FWCI
- 11.17
- 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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Negative Regulation of Anthocyanin Biosynthesis in Arabidopsis by a miR156-Targeted SPL Transcription Factor. https://app.cochat.ai/papers/10.1105/tpc.111.084525
- The paper
- Gou, J.-Y., Felippes, F. F., Liu, C.-J., Weigel, D., & Wang, J.-W. (2011). Negative Regulation of Anthocyanin Biosynthesis in Arabidopsis by a miR156-Targeted SPL Transcription Factor. The Plant Cell. https://doi.org/10.1105/tpc.111.084525
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.