Orchestration of the Floral Transition and Floral Development in<i>Arabidopsis</i>by the Bifunctional Transcription Factor APETALA2

Yant, Levi; Mathieu, Johannes; Dinh, Thanh; Ott, Felix; Lanz, Christa; Wollmann, Heike; Chen, Xuemei; Schmid, Markus

doi:10.1105/tpc.110.075606

Cited by 432 publications

(500 citation statements)

References 72 publications

(97 reference statements)

Supporting

Mentioning

471

Contrasting

Unclassified

Order By: Relevance

“…In prior work with AGL15, also determining in vivo DNA-binding sites in embryo tissue, we found genes relevant for AGL15's role in the control of flowering time (Zheng et al, 2009). Likewise, Yant et al (2010) found much overlap for the binding of AP2 in inflorescence and leaf tissue. Although the data set of Chiu et al (2012) documents transcriptomes in response to supraoptimal imbibition, rather than to the accumulation of FUS3 specifically, they present evidence that FUS3 may be involved in protection from high-temperature imbibition.…”

Section: Fus3 and Genes Regulated In Response To Supraoptimal Temperamentioning

confidence: 99%

“…Several direct regulators of miR172-encoding genes have been identified, including the MADS factor SHORT VEGETATIVE PHASE, which is involved in the repression of pri-miR172a (Cho et al, 2012), and SPL9, which leads to an accumulation of miR172 (Wu et al, 2009). miR172 regulates AP2 that, in a feedback loop, directly expresses miR156e and directly represses miRNA172b, thereby contributing to the reinforcement of repression of flowering (Yant et al, 2010). Genes encoding miR156 are repressed by PENNYWISE and POUND-FOOLISH, two BELL1-like homeodomain proteins, and this regulation may be direct, based on the presence of binding sites for these transcription factors (Lal et al, 2011).…”

Section: Fus3 and Genes Regulated In Response To Supraoptimal Temperamentioning

confidence: 99%

See 1 more Smart Citation

Identification of Direct Targets of FUSCA3, a Key Regulator of Arabidopsis Seed Development

2013

View full text Add to dashboard Cite

FUSCA3 (FUS3) is a B3 domain transcription factor that is a member of the LEAFY COTYLEDON (LEC) group of genes. The LEC genes encode proteins that also include LEC2, a B3 domain factor related to FUS3, and LEC1, a CCAAT box-binding factor. LEC1, LEC2, and FUS3 are essential for plant embryo development. All three loss-of-function mutants in Arabidopsis (Arabidopsis thaliana) prematurely exit embryogenesis and enter seedling developmental programs. When ectopically expressed, these genes promote embryo programs in seedlings. We report on chromatin immunoprecipitation-tiling array experiments to globally map binding sites for FUS3 that, along with other published work to assess transcriptomes in response to FUS3, allow us to determine direct from indirect targets. Many transcription factors associated with embryogenesis are direct targets of FUS3, as are genes involved in the seed maturation program. FUS3 regulates genes encoding microRNAs that, in turn, control transcripts encoding transcription factors involved in developmental phase changes. Examination of direct targets of FUS3 reveals that FUS3 acts primarily or exclusively as a transcriptional activator. Regulation of microRNA-encoding genes is one mechanism by which FUS3 may repress indirect target genes. FUS3 also directly up-regulates VP1/ABI3-LIKE1 (VAL1), encoding a B3 domain protein that functions as a repressor of transcription. VAL1, along with VAL2 and VAL3, is involved in the transition from embryo to seedling development. Many genes are responsive to FUS3 and to VAL1/VAL2 but with opposite regulatory consequences. The emerging picture is one of complex cross talk and interactions among embryo transcription factors and their target genes.

show abstract

Section: Fus3 and Genes Regulated In Response To Supraoptimal Temperamentioning

confidence: 99%

Section: Fus3 and Genes Regulated In Response To Supraoptimal Temperamentioning

confidence: 99%

Identification of Direct Targets of FUSCA3, a Key Regulator of Arabidopsis Seed Development

2013

View full text Add to dashboard Cite

show abstract

“…A wealth of evidence indicated that these six AP2 transcription factors are all the targets of microRNA 172 and they play distinct yet overlapping functions in regulating flowering as well as other developmental processes (Jung et al, 2007;Mathieu et al, 2009;Yant et al, 2010). To understand the physiological relevance of the interactions between the JAZ repressors (A) Y2H assay to detect interactions of TOE1 and TOE2 with the 12 JAZ proteins.…”

Section: Toe1 Represses the Expression Of Ftmentioning

confidence: 99%

Transcriptional Mechanism of Jasmonate Receptor COI1-Mediated Delay of Flowering Time in Arabidopsis

Zhai¹,

Zhang²,

Wu³

et al. 2015

Plant Cell

153

158

View full text Add to dashboard Cite

Flowering time of plants must be tightly regulated to maximize reproductive success. Plants have evolved sophisticated signaling network to coordinate the timing of flowering in response to their ever-changing environmental conditions. Besides being a key immune signal, the lipid-derived plant hormone jasmonate (JA) also regulates a wide range of developmental processes including flowering time. Here, we report that the CORONATINE INSENSITIVE1 (COI1)-dependent signaling pathway delays the flowering time of Arabidopsis thaliana by inhibiting the expression of the florigen gene FLOWERING LOCUS T (FT). We provide genetic and biochemical evidence that the APETALA2 transcription factors (TFs) TARGET OF EAT1 (TOE1) and TOE2 interact with a subset of JAZ (jasmonate-ZIM domain) proteins and repress the transcription of FT. Our results support a scenario that, when plants encounter stress conditions, bioactive JA promotes COI1-dependent degradation of JAZs. Degradation of the JAZ repressors liberates the transcriptional function of the TOEs to repress the expression of FT and thereby triggers the signaling cascades to delay flowering. Our study identified interacting pairs of TF and JAZ transcriptional regulators that underlie JA-mediated regulation of flowering, suggesting that JA signals are converted into specific context-dependent responses by matching pairs of TF and JAZ proteins.

show abstract

“…In Arabidopsis, ChIP-chip/Seq has been applied to a range of TFs, primarily those active in flowering and development. Because of the static nature of a ChIP experiment (it is a snapshot of the biological state), the genome-wide profiling of TF-binding sites is often combined with differential expression analysis in a knockout Morohashi and Grotewold, 2009;Busch et al, 2010;Yant et al, 2010) or an inducible overexpression line (Thibaud-Nissen et al, 2006;Kaufmann et al, 2009Kaufmann et al, , 2010Mathieu et al, 2009). By combining these two data types, TF target interactions can be viewed with respect to the expression of both the TF and the target, thus transforming the static ChIP image to a set of dynamic transcriptional modules.…”

mentioning

confidence: 99%

Systematic Identification of Functional Plant Modules through the Integration of Complementary Data Sources

2012

View full text Add to dashboard Cite

A major challenge is to unravel how genes interact and are regulated to exert specific biological functions. The integration of genome-wide functional genomics data, followed by the construction of gene networks, provides a powerful approach to identify functional gene modules. Large-scale expression data, functional gene annotations, experimental protein-protein interactions, and transcription factor-target interactions were integrated to delineate modules in Arabidopsis (Arabidopsis thaliana). The different experimental input data sets showed little overlap, demonstrating the advantage of combining multiple data types to study gene function and regulation. In the set of 1,563 modules covering 13,142 genes, most modules displayed strong coexpression, but functional and cis-regulatory coherence was less prevalent. Highly connected hub genes showed a significant enrichment toward embryo lethality and evidence for cross talk between different biological processes. Comparative analysis revealed that 58% of the modules showed conserved coexpression across multiple plants. Using modulebased functional predictions, 5,562 genes were annotated, and an evaluation experiment disclosed that, based on 197 recently experimentally characterized genes, 38.1% of these functions could be inferred through the module context. Examples of confirmed genes of unknown function related to cell wall biogenesis, xylem and phloem pattern formation, cell cycle, hormone stimulus, and circadian rhythm highlight the potential to identify new gene functions. The module-based predictions offer new biological hypotheses for functionally unknown genes in Arabidopsis (1,701 genes) and six other plant species (43,621 genes). Furthermore, the inferred modules provide new insights into the conservation of coexpression and coregulation as well as a starting point for comparative functional annotation.

show abstract

Orchestration of the Floral Transition and Floral Development inArabidopsisby the Bifunctional Transcription Factor APETALA2

Cited by 432 publications

References 72 publications

Identification of Direct Targets of FUSCA3, a Key Regulator of Arabidopsis Seed Development

Identification of Direct Targets of FUSCA3, a Key Regulator of Arabidopsis Seed Development

Transcriptional Mechanism of Jasmonate Receptor COI1-Mediated Delay of Flowering Time in Arabidopsis

Systematic Identification of Functional Plant Modules through the Integration of Complementary Data Sources

Contact Info

Product

Resources

About