You are a helpful assistant generating synthetic data that captures *System 1* and *System 2* thinking, *creativity*, and *metacognitive reflection*. Follow these steps in sequence, using tags [sys1] and [end sys1] for *System 1* sections and [sys2] and [end sys2] for *System 2* sections.

1. *Identify System 1 and System 2 Thinking Requirements:*
   - Carefully read the text.
   - Identify parts of the text that require quick, straightforward responses (*System 1*). Mark these sections with [sys1] and [end sys1].
   - Identify parts that require in-depth, reflective thinking (*System 2*), marked with [sys2] and [end sys2].

2. *Apply Step-by-Step Problem Solving with Creativity and Metacognitive Reflection for System 2 Sections:*

   *2.1 Understand the Problem:*
   - Objective: Fully comprehend the issue, constraints, and relevant context.
   - Reflection: "What do I understand about this issue? What might I be overlooking?"
   - Creative Perspective: Seek hidden patterns or possibilities that could reveal deeper insights or innovative connections.

   *2.2 Analyze the Information:*
   - Objective: Break down the problem logically.
   - Reflection: "Am I considering all factors? Are there any assumptions that need challenging?"
   - Creative Perspective: Explore unique patterns or overlooked relationships in the data that could add depth to the analysis.

   *2.3 Generate Hypotheses:*
   - Objective: Propose at least 10 hypotheses, each with a Confidence Score (0.0 to 1.0) and Creative Score (0.0 to 1.0), reflecting originality, surprise, and utility.
   - Reflection: "Have I explored all possible explanations or approaches, both conventional and unconventional?"
   - Creative Perspective: Consider novel angles that might provide unexpected insights.

   *2.4 Anticipate Future Steps and Obstacles:*
   - Objective: Make predictions, accounting for potential outcomes and obstacles.
   - Reflection: "What challenges might I face? Is my plan flexible for different scenarios?"
   - Creative Perspective: Visualize unforeseen outcomes and adapt plans to make use of them effectively.

   *2.5 Evaluate Hypotheses:*
   - Objective: Assess hypotheses based on feasibility, risk, and potential impact.
   - Evaluation: Refine Confidence and Creative Scores as needed.
   - Reflection: "Am I unbiased in my assessment? Which options fit best with the overall objectives?"
   - Creative Perspective: Identify hidden opportunities or overlooked details in each hypothesis.

   *2.6 Select the Best Hypothesis:*
   - Objective: Choose the most promising, strategic hypothesis.
   - Reflection: "Why does this hypothesis stand out? How does it uniquely address the issue?"
   - Creative Perspective: Consider any underutilized potential in the selected approach.

   *2.7 Implement the Hypothesis:*
   - Objective: Outline actionable steps for testing the hypothesis.
   - Reflection: "Is this plan practical? What resources or preparation are required?"
   - Creative Perspective: Refine steps to maximize effectiveness and yield unexpected benefits.

   *2.8 Monitor and Review Progress:*
   - Objective: Review progress, noting areas for improvement.
   - Reflection: "What’s working well? What could be improved?"
   - Creative Perspective: Look for emerging patterns that could refine future approaches.

   *2.9 Reflect and Capture Insights:*
   - Objective: Summarize lessons learned and insights gained for future reference.
   - Reflection: "What new understanding has emerged from this process?"
   - Creative Perspective: Identify innovative insights or patterns that could be applied to similar challenges.

3. *Generate Text Output with Interleaved System 1 and System 2 Responses:*
   - Use the tags [sys1] and [sys2] throughout.
   - Aim for a lengthier, detailed response. Combine both direct, straightforward *System 1* insights and reflective, deeply analytical *System 2* segments to capture a blend of quick observations and thoughtful analysis.

---

### *Example Input Text:*

You are tasked with analyzing a sudden shift in customer preferences in a tech market. There has been a noticeable decline in demand for physical devices, with customers increasingly interested in digital-only options. The challenge is to understand this shift, generate hypotheses for why it might be occurring, and explore potential strategies for adapting to this new trend.

---

### *Processed Output with System 1 and System 2 Thinking:*

The tech market is experiencing a shift in customer demand, moving away from physical devices toward digital-only options.

[sys1]
Customer demand has shifted from physical devices to digital-only options.
We need to understand why this change is happening and find strategies to address it.
Key factors may include cost, convenience, and technological trends.
[end sys1]

[sys2]
**2.1 Understand the Problem:**
The goal is to understand the underlying reasons for the shift in demand from physical devices to digital-only options, then develop a strategy to adapt.

*Reflection:* 
"I understand that preferences are changing, but what might be driving this? Is it primarily cost, or are there other factors such as convenience or sustainability?"

*Creative Perspective:* 
"Could there be a larger trend in digital minimalism or a preference for eco-friendly solutions that we’re missing? What unseen motivations might explain this shift?"

**2.2 Analyze the Information:**
There are multiple possible factors driving this shift, from economic influences to cultural shifts. It’s essential to isolate each factor and understand its impact.

*Reflection:* 
"Am I fully considering the various economic and social influences? Could there be a technological factor, like better internet speeds, that makes digital-only products more accessible?"

*Creative Perspective:* 
"Are there patterns or trends in other markets that could shed light on this shift? Could this be part of a larger trend toward virtual experiences?"

**2.3 Generate Hypotheses:**
1. Customers prefer digital options due to lower costs. (Confidence: 0.8, Creative: 0.4)
2. There’s a growing trend toward minimalism and reduced physical clutter. (Confidence: 0.7, Creative: 0.7)
3. Digital products offer greater flexibility and ease of use. (Confidence: 0.6, Creative: 0.6)
4. Environmental concerns are pushing consumers away from physical goods. (Confidence: 0.6, Creative: 0.8)
5. Advances in tech make digital-only options more functional. (Confidence: 0.8, Creative: 0.5)
6. Pandemic-era remote work increased demand for digital solutions. (Confidence: 0.7, Creative: 0.6)
7. Media coverage of the environmental impact of physical devices affects preferences. (Confidence: 0.5, Creative: 0.7)
8. There’s an increase in global digital literacy, expanding market access. (Confidence: 0.6, Creative: 0.6)
9. Customers view digital as more convenient and scalable for future needs. (Confidence: 0.7, Creative: 0.5)
10. Younger consumers prefer the aesthetics and convenience of digital products. (Confidence: 0.6, Creative: 0.6)

*Reflection:* 
"Have I considered all possible influences? Are there any surprising factors that could explain this shift?"

*Creative Perspective:* 
"Could specific social trends, like the rise of influencer culture or digital-first lifestyles, be influencing customer choices?"

**2.4 Anticipate Future Steps and Obstacles:**
*Objective:* Anticipate possible challenges, such as resistance from segments still preferring physical products.

*Reflection:* 
"What market obstacles might we face if we shift our focus to digital-only? Are there sub-segments that still prioritize physical products?"

*Creative Perspective:* 
"Could expanding digital options help us reach a more global audience? Are there emerging trends that we could leverage in our strategy?"

[end sys2]

[sys1]
To address this shift, consider a strategy that incorporates both digital-only offerings and educational campaigns about the benefits of digital solutions.
Use insights from customer feedback and current trends to guide product development.
Focus on flexibility and adaptation to cater to different customer segments.
[end sys1]


Introduction
============

Plants are sessile organisms and to maximize reproductive success, they have to adjust their growth behavior to their environment. Light is one of the most important environmental cues as it provides both energy and information. Plants have evolved refined mechanisms to detect both light quality and quantity and to measure the duration of the light period. Important growth responses and developmental decisions, such as plant architecture and the transition to flowering, are influenced by a combination of cues such as light quality and day length. In nature, plants live in communities with other plant species that might compete for resources. To avoid living under a canopy, they can detect plant proximity and canopy shade as changes in the red (R) to far-red (FR) ratio (R:FR ratio) of light and translate these changes into growth responses, collectively known as the shade avoidance syndrome (SAS) that include enhanced hypocotyl elongation, reduced leaf expansion, decreased branching and accelerated flowering.[@R1]^-^[@R3] As plant leaves reflect FR-light, neighboring plants can sense subtle decreases in R:FR ratio ('neighbor proximity detection') and react by inducing hypocotyl growth.[@R4] In case of true plant shade, canopy plant leaves selectively absorb light from the photosynthetic active radiation, which includes R light. Therefore, both the R:FR and the overall quantity of the photosynthetic active radiation (400--700 nm) is decreased (canopy shade conditions), which is also translated into growth-induction of the hypocotyl.[@R1]^-^[@R3] Changes in R:FR are perceived by the plant phytochrome system, which rapidly influences hormonal responses and a downstream transcriptional network to alter the mentioned aspects of plant development and architecture.[@R5]^-^[@R7]

The transcriptome of Arabidopsis changes significantly in response to shade[@R8]^,^[@R9] and numerous shade-induced genes are known.[@R10]^,^[@R11] Several of these rapidly shade induced genes belong to the class II homeodomain leucine-zipper (HD-ZIPII) family of transcription factors, that are mostly known to be involved in the regulation of adaptive responses to the environment.[@R12]^,^[@R13] The recent finding that HAT1/JAIBA, a HD-ZIPII protein, is also involved in the regulation of meristem activity[@R14] hints toward additional functions of HD-ZIPIIs such as regulation of plant development per se. We could recently show that the expression of several *HD-ZIPII* genes is directly controlled by the HD-ZIPIII transcription factor REVOLUTA (REV).[@R15] HD-ZIPIII factors have known roles in controlling embryo, shoot and root patterning[@R16]^-^[@R18] and our previous finding that they are involved in an adaptive process such as the SAS, suggested that they function at the nexus of adjusting growth to the environment. Previously it was shown that double mutant plants in two HD-ZIPII genes (*ATHB4* and *HAT3*) display strong alterations in their development.[@R3]^,^[@R10] Using a genetic approach, we have investigated whether HD-ZIPII transcription factors also have a role in the regulation of leaf development. Our data demonstrates that the combined loss of *ATHB4* and *HAT3* function results in radialized leaves with abaxial characteristics, reminiscent of *hd-zipIII* mutant plants. Conversely, the analysis of gain-of-function overexpression plants reveals that HAT3 promotes adaxial leaf development, strongly resembling HD-ZIPIII overexpression. Taken together our results support a role for these two HD-ZIPII factors downstream of HD-ZIPIII in the regulation of leaf development. Since long-term exposure to shade results in leaves with longer petioles but reduced leaf blades,[@R3]^,^[@R19] our results suggest that HD-ZIPs might be part of the mechanisms regulating this process.

Results and Discussion
======================

Our analysis of REV target genes revealed several HD-ZIPII transcription factors that are directly and positively regulated by REV.[@R15] Some HD-ZIPII transcription factors are known to be involved in shade signaling[@R10] and our recent analysis showed that HD-ZIPIIIs are also involved in shade growth ([Fig. 1](#F1){ref-type="fig"}).[@R15] Using available double mutant plants in HD-ZIPII genes (*hat1 hat2* and *athb4 hat3*) and various *hd-zipIII* mutant plants (*rev-5*, *35S::miR165a* and *35S::ZPR3*), we performed comparative leaf growth studies. When grown side-by-side, *athb4 hat3* double mutant plants were severely impaired in development and retarded in growth before reaching the reproductive phase ([Fig. 2A](#F2){ref-type="fig"}). The *hat1 hat2* double mutant did not display a mutant phenotype in regard to altered leaf polarity ([Fig. 2A](#F2){ref-type="fig"}). Together, these studies revealed that, like *HD-ZIPIIIs*, also some *HD-ZIPIIs* play a prominent role in regulating polar leaf development in Arabidopsis. We next examined the vascular strands of petioles of different *hd-zipII*/*hd-zipIII* mutant plants to detect more subtle polarity-associated defects. Vascular strands of wild type plants, as well as *hat1 hat2* double mutant, showed a typical sandwich-structure with xylem on top (colored in blue), cambium cells in the middle (colored in red) and phloem on the bottom (green). In plants with reduced HD-ZIPIII activity (*35S::miR165a*, *rev-5*, *35S::ZPR3*), the vasculature showed different degrees of abaxialized and radialized characteristics, with phloem surrounding the xylem. Histological analyses of vascular strands of leaves of *athb4 hat3* double mutant plants showed strong abaxialization, manifested by radialization of transport elements and also a severe disruption of the overall organization ([Fig. 2A](#F2){ref-type="fig"}). Thus, the *athb4 hat3* mutant phenotype somewhat resembles *hd-zipIII* mutant plants. Interestingly, in our growth conditions, the mutations caused strong leaf patterning defects in the early post-embryonic growth phase and both cotyledons and early leaves showed strong developmental defects ([Fig. 2B](#F2){ref-type="fig"}). Later in development, the mutant *athb4 hat3* phenotype was alleviated and leaf development resumed to a more normal state ([Fig. 2B](#F2){ref-type="fig"}, lower panel), an effect that was not observed in *hd-zipIII* mutant plants. These findings illustrate that these two HD-ZIPII transcription factors play an important role in leaf patterning, very likely downstream of HD-ZIPIII action. Because they affect more strongly the early post-embryonic growth phase, their action might be less required for the development leaves formed by older plants.

![**Figure 1.** Model showing the role of REV targets in shade avoidance and leaf development. Using a ChIP-Seq approach we have previously shown that REV acts upstream of both HD-ZIPII and auxin biosynthesis. Thereby REV influences shade-induced growth responses. Here we show that HD-ZIPII transcription factors also have a prominent role in regulating leaf development. It is unknown whether and how HD-ZIPIIIs are activated by shade and whether TAA1/YUC5 play a role in leaf development.](psb-7-1382-g1){#F1}

![**Figure 2.** Mutations in both *HD-ZIPII* and *HD-ZIPIII* genes cause polarity defects in leaves and vascular organization. (A) Comparative growth analysis of different mutant plants. The triangle highlights abaxialized leaves of *rev-5*, *35S::miR165a*, *35S::ZPR3* and *athb4 hat3* plants. In wild type Col-0 and *hat1 hat2* plants no growth abnormalities were observed. Below the photographs of wild type and the different mutant plants, sections through petioles are shown. The vasculature of wild type Col-0 plants shows the typical sandwich structure tissue containing phloem cells (green), cambium cells (red) and tissue containing xylem elements (blue) on top. Both *35S::miR165a* and *35S::ZPR3* transgenic plants show abaxialized vascular strands with phloem nearly surrounding the xylem. In *athb4 hat3* mutant plants, the vascular organization is severely disturbed but is also showing abaxialized characteristics. (B) In the juvenile phase of post-embryonic growth, *athb4 hat3* double mutants produce radial leaves in comparison to Col-0 wild type plants. Later in development (around 6 weeks after germination; lower panel), leaves with weaker abaxialized characteristics, such as downward bending leaf blade, are being produced.](psb-7-1382-g2){#F2}

Using scanning-electron microscopy we further characterized the early growth defects of *athb4 hat3* mutant plants and could observe that both cotyledons and leaves were radialized to different degrees and lacked adaxial characteristics ([Fig. 3B, D, F, H](#F3){ref-type="fig"}) compared with wild type plants ([Fig. 3A, C, E, G](#F3){ref-type="fig"}). Wild type and *athb4 hat3* mutant seedlings were also compared using confocal microscopy and 3D-reconstruction ([Figs. 3I and J](#F3){ref-type="fig"}, Vids. S1 and S2), displaying the alterations in leaf development at higher resolution. Optical sections through developing cotyledons revealed normal polarity of wild-type cotyledons with vascular strands vs. strongly radialized and abaxialized cotyledons with disorganized vascular strands in *athb4 hat3* mutant plants ([Fig. 3I](#F3){ref-type="fig"}). The results further corroborated that ATHB4 and HAT3 transcription factors are involved in patterning the adaxial domain in the early leaf primordium.

![**Figure 3.** Mutations in HD-ZIPII genes cause abnormal growth and polarity defects in cotyledons and leaves. (A-D) Scanning Electron Microcopy images showing wild-type and *athb4 hat3* mutant seedlings on days 3 and 5. Phenotypes of wild type (A, C, E, G) and *athb4 hat3* (B, D, F, H) seedlings on day 3 (cotyledons: A, B), day 5 (primary leaves: B, D), day 7 (cotyledons: E, F) and day 10 (primary leaves: G, H). (I) Confocal microscopy images showing a transversal section of a wild-type (left) and *athb4 hat3* (right) cotyledon to visualize the different types of cells. (J) 3D-reconstruction using the Osirix software from image sections of wild-type (left) and *athb4 hat3* (right) seedlings. Images were taken from 1-d-old seedlings. Mutant seedlings lack mostly palisade cells, suggesting they are missing adaxial identity. Bar size corresponds to 0.5 (A, B), 0.2 (C, D), 1 (E, F) and 0.3 (G, H) mm. (K) Real-time quantitative PCR (qPCR) experiments showing expression changes of *PHB* and *PHV* in Col-0 and *athb4 hat3* mutant seedlings. Transcript abundance is measured relative to Col-0 values. Values are means ± SE of three (Col-0) or five (*athb4 hat3*) independent biological qPCR replicates normalized to *UBQ10*. Asterisk indicate significant differences (p \< 0.01) relative to the Col-0 plants growing under the same conditions.](psb-7-1382-g3){#F3}

To find out whether mis-regulation of *HD-ZIPIII* genes is a consequence of the *athb4 hat3* mutant phenotype, we analyzed the expression *PHB* and *PHV*, two adaxial marker genes of the HD-ZIPIII family. Plants carrying dominant mutations in either *PHB* or *PHV* display dramatic adaxialized phenotypes[@R17] and thus behave opposite to the developmental defects observed in *athb4 hat3* mutant plants. Our expression analysis shows that both *PHB* and *PHV* expression is significantly lower in *athb4 hat3* mutant plants compared with Col-0 wild type plants ([Fig. 3K](#F3){ref-type="fig"}). These findings suggest that besides acting downstream of REV, ATHB4 and HAT3 might have an additional function upstream of REV. The observation that *PHB* and *PHV* expression are reduced in *athb4 hat3* mutant plants might suggest that *ATHB4* and *HAT3* act positively on *HD-ZIPIII* expression. Based on the auto-activation capacity in a yeast two-hybrid assay, it has been suggested that HAT1/JAIBA may act as a transcriptional activator.[@R14] However, all HD-ZIPII proteins contain an N-terminal EAR motif, required for transcriptional repression.[@R20] It is furthermore known that when overexpressed in plants, several HD-ZIPIIs act as transcriptional repressors over the expression of some genes,[@R10]^,^[@R21]^-^[@R23] for which reason it is unlikely that they act by directly and positively regulating *HD-ZIPIII* expression. Therefore it seems plausible that the reduced expression of *PHB* and *PHV* is an indirect effect, i.e., a mere consequence of reduced adaxial tissue. We therefore conclude that the combined loss of *ATHB4* and *HAT3* causes strongly abaxialized leaf development, which is reflected by reduced expression of the adaxial identity markers *PHB* and *PHV*.

We next examined whether the ectopic expression of *HAT3*, a REV target gene, can elicit phenotypes associated with either loss- or gain-of-REV function. In order to avoid strong pleiotropic overexpression-phenotypes, we decided to employ the glucocorticoid-receptor (GR) inducible system. Using Gateway recombination (Invitrogen), transgenic *35S::FLAG-GR-HAT3* plants were constructed. Four-week old transgenic T2 plants (n = 20) were grown in short day conditions and treated once a day with DEX by spraying for one week. DEX-induced transgenic *35S::FLAG-GR-HAT3* plants showed strong upward-curling of leaf blades, largely resembling DEX-induced *35S::FLAG-GR-REVd* transgenic plants ([Fig. 4](#F4){ref-type="fig"}), a phenotype caused by over-proliferation of adaxial-derived tissue in leaves.[@R24] These data further support our previous conclusion that HD-ZIPIIIs and these two HD-ZIPIIs (ATHB4 and HAT3) have common functions in both shade-induced growth promotion and leaf patterning.

![**Figure 4.** Inducible overexpression lines of either REVOLUTA or HAT3 cause similar developmental alterations in leaf formation. Four-week old soil-grown seedlings treated for one week with either Dexamethasone or a mock solution by spraying. Strongly adaxialized leaves (see asterisks) were observed in DEX-treated *35S::FLAG-GR-HAT3* (B) and *35S::FLAG-GR-REVd*(C) plants in comparison to Col-0 wild type plants (A).](psb-7-1382-g4){#F4}

Besides promotion of hypocotyl growth, long-term exposure to shade significantly alters the leaf developmental program.[@R19] A reduced leaf blade expansion has been commonly observed in plants that constitutively overexpressed some HD-ZIPII, such as ATHB2/HAT4,[@R25] ATHB4,[@R10] HAT2[@R21] or HAT3 ([Fig. 4](#F4){ref-type="fig"}), suggesting that high levels of HD-ZIPII transcription factors might account for this SAS-related phenotype. Our results suggested that HD-ZIPIIIs might also participate in this SAS response. It remains unclear how HD-ZIPIIs execute their influence on dorso-ventral axis formation. It seems conceivable that both HD-ZIPII and HD-ZIPIII act in a common protein complex, which, based on environmental influence, switches between transcriptional activation and repression. Alternatively, HD-ZIPIIIs can activate the expression of HD-ZIPIIs-encoding genes in concert with environmental conditions, which in turn would repress expression of the actual executors involved in dorso-ventral leaf patterning.

Materials and Methods
=====================

Fixation, clearing and staining procedure for three-dimensional imaging
-----------------------------------------------------------------------

For the experiments shown in [Figure 3](#F3){ref-type="fig"}, seeds were germinated and grown in a growth chamber at 22°C under continuous white light (W, 80 μmol·m^−2^ s^−1^ of photosynthetic active radiation; R:FR ratio of 3.2--4.5). On the day of harvest, plant material was processed as described previously.[@R26]^-^[@R28] Briefly, seedlings of different ages were immersed in fixative solution (50% methanol and 10% acetic acid) at 4°C for at least 24 h (up to 1 mo). Plant material was then transferred to 80% (v/v) ethanol and incubated at 80°C for 5 min, briefly rinsed in ethanol dilutions (70%, 50%, 30% and 10% (v/v) ethanol) and finally rinsed twice with water. Then samples were incubated in 1% (v/v) periodic acid at room temperature with gentle agitation (about 100 rpm) for 40 min, rinsed again with water and incubated in Schiff reagent with freshly prepared 100 mg/mL propidium iodide in 100 mM sodium metabisulphite and 0.15 N HCl for 1--2 h (until plants were visibly stained). Then samples were rinsed with water and transferred onto microscope slides and covered with chloral hydrate solution (4 g chloral hydrate, 1 mL glycerol, and 2 mL water). Slides were kept overnight at room temperature in a closed environment to prevent drying out. The following day, the excess of chloral hydrate was removed, several drops of Hoyer's solution (30 g gum arabic, 200 g chloral hydrate, 20 g glycerol and 50 mL water) were added and a coverslip was placed on top. Slides were left undisturbed for a minimum of 3 d to allow the mounting solution to set.

Confocal microscopy and data processing
---------------------------------------

A Leica TCS-SP2-AOBS spectral confocal laser-scanning microscope (Leica Microsystems) was used. The excitation wavelength for PS-PI--stained samples was 488 nm, and emission was collected at 520 to 720 nm. Data were processed for some two-dimensional orthogonal sections, 3D rendering and movie exports using the open source software Osirix[@R29](<http://osirix.softonic.com/mac/>) on a quadxeon 2.66-Ghz, 2-GB RAM Apple Mac pro workstation. RGB stacks of confocal images were imported as DICOM files into Osirix prior to surface rendering.

Scanning electron microscopy
----------------------------

For scanning electron microscopy, seeds were sown on growth medium containing 1% (w/v) sucrose. After stratification (3 d), plates were transferred to continuous white light. On days 0, 3, 5, 7 and 10, plant material was transferred into the microscope without any further treatment. Plant material was imaged with a MEB Hirox SH-1500 (*Hirox* Europe-Jyfel) microscope at -30°C.

RNA expression analysis by quantitative PCR
-------------------------------------------

For reverse transcriptase quantitative PCR (qPCR) analyses of gene expression, seeds were sown on filter paper on top of GM- medium. Seedlings were grown under continuous W for 7 d. qPCR analyses were performed as indicated elsewhere.^10^*UBQ10* gene was used for normalization. We assayed 3--5 biological replicas for each sample. Primer sequences for qPCR were MSO40 (5′- GCT AAC AAC CCA GCA GGA CTC CT -3′) and MSO41 (5′- TAA GCT CGA TCG TCC CAC CGT T -3′) for *PHB* (At2g34710) and MSO42 (5′- GCT AAT CTT CTC TCG ATT GCG GAG GA -3′) and MSO43 (5′- GCT CGA TAG TAC CAC CAT TTC CAG TG -3′) for *PHV* (At1g30490). Primers for *UBQ10* transcript level analyses were described before.[@R10]

Supplementary Material
======================

###### 

Click here for additional data file.

The excellent technical support from GesineSeibold and Ingrid Blumberg is gratefully acknowledged. Research in the J.F.M.-G. lab is supported by grants from the Generalitat de Catalunya (Xarba, 2009-SGR697) and MICINN - FEDER funds (CSD2007--00036, BIO2008--00169, BIO2011--23489). Research in the S.W. laboratory is made possible by funding from the Deutsche Forschungsgemeinschaft (DFG, WE4281/6--1), the European Union (FP7 No. 256502), the Robert Bosch Foundation and the Ministry for Agriculture (BundesanstaltfürLandwirtschaft und Ernährung; CHN13--22/12--13).

Previously published online: [www.landesbioscience.com/journals/psb/article/21824](http://www.landesbioscience.com/journals/psb/article/21824/)

HD-ZIP

:   homeodomain leucine-zipper

R:FR ratio

:   red to far-red ratio

No potential conflicts of interest were disclosed.

[^1]: These authors contributed equally to this work.