The DOI matches its Crossref record; 98 of the 98 references it cites were found in a registry or an index.
Regulation of flowering time by the miR156-mediated age pathway
Open accessAbstract
Precise flowering time is critical to reproductive success. In response to diverse exogenous and endogenous cues including age, hormones, photoperiod, and temperature, the floral transition is controlled by a complex regulatory network, which involves extensive crosstalks, feedback, or feedforward loops between the components within flowering time pathways. The newly identified age pathway, which is controlled by microRNA156 (miR156) and its target SQUAMOSA PROMOTER BINDING-LIKE (SPL) transcription factors, ensures plants flower under non-inductive conditions. In this review, I summarize the recent advance in understanding of the age pathway, focusing on the regulatory basis of the developmental decline in miR156 level by age and the molecular mechanism by which the age pathway is integrated into other flowering time pathways.
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Cites
MicroRNAs: Target Recognition and Regulatory Functions
Bartel, D. P. (2009) · Cell · doi:10.1016/j.cell.2009.01.002 · Cited by 20,068
Prediction of Plant MicroRNA Targets
Rhoades, M. W., Reinhart, B. J., Lim, L. P., Burge, C. B., Bartel, B., & Bartel, D. P. (2002) · Cell · doi:10.1016/s0092-8674(02)00863-2 · Cited by 2,283
FT Protein Movement Contributes to Long-Distance Signaling in Floral Induction of Arabidopsis
Corbesier, L., Vincent, C., Jang, S., Fornara, F., Fan, Q., Searle, I., Giakountis, A., Farrona, S., Gissot, L., Turnbull, C., et al. (2007) · Science · doi:10.1126/science.1141752 · Cited by 2,253
Reinhart, B. J., Weinstein, E. G., Rhoades, M. W., Bartel, B., & Bartel, D. P. (2002) · Genes & Development · doi:10.1101/gad.1004402 · Cited by 1,948
Aukerman, M. J., & Sakai, H. (2003) · The Plant Cell · doi:10.1105/tpc.016238 · Cited by 1,946
A MicroRNA as a Translational Repressor of APETALA2 in Arabidopsis Flower Development
Chen, X. (2004) · Science · doi:10.1126/science.1088060 · Cited by 1,770
The Sequential Action of miR156 and miR172 Regulates Developmental Timing in Arabidopsis
Wu, G., Park, M. Y., Conway, S. R., Wang, J.-W., Weigel, D., & Poethig, R. S. (2009) · Cell · doi:10.1016/j.cell.2009.06.031 · Cited by 1,678
Self-citationFD, a bZIP Protein Mediating Signals from the Floral Pathway Integrator FT at the Shoot Apex
Abe, M., Kobayashi, Y., Yamamoto, S., Daimon, Y., Yamaguchi, A., Ikeda, Y., Ichinoki, H., Notaguchi, M., Goto, K., & Araki, T. (2005) · Science · doi:10.1126/science.1115983 · Cited by 1,654
Cleavage of Scarecrow-like mRNA Targets Directed by a Class of Arabidopsis miRNA
Llave, C., Xie, Z., Kasschau, K. D., & Carrington, J. C. (2002) · Science · doi:10.1126/science.1076311 · Cited by 1,627
The genetic basis of flowering responses to seasonal cues
Andrés, F., & Coupland, G. (2012) · Nature Reviews Genetics · doi:10.1038/nrg3291 · Cited by 1,538
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
Plant Noncoding RNAs: Hidden Players in Development and Stress Responses
Yu, Y., Zhang, Y., Chen, X., & Chen, Y. (2019) · Annual Review of Cell and Developmental Biology · doi:10.1146/annurev-cellbio-100818-125218 · Cited by 396
New insights into gibberellin signaling in regulating flowering in Arabidopsis
Bao, S., Hua, C., Shen, L., & Yu, H. (2020) · Journal of Integrative Plant Biology · doi:10.1111/jipb.12892 · Cited by 386
Wang, H., & Wang, H. (2015) · Molecular Plant · doi:10.1016/j.molp.2015.01.008 · Cited by 356
LED lighting to produce high-quality ornamental plants
Trivellini, A., Toscano, S., Romano, D., & Ferrante, A. (2023) · Plants · doi:10.3390/plants12081667 · Cited by 69
Metadata
- Authors
- Wang, J.-W.
- Venue
- Journal of Experimental Botany
- Publisher
- Oxford University Press (OUP)
- Published
- 2014-06-22
- Volume
- 65
- Issue
- 17
- Pages
- 4723-4730
- ISSN
- 0022-0957 (ISSN-L)
- 1460-2431
- OpenAlex
- W2097640253
- Cited by
- 379
- References
- 98
- FWCI
- 29.19
- Type
- journal article
- Language
- en
- Open access
- bronze
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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