Supplementary Materials for · 160 grid was superimposed on the initial hemisphere to show the...
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Supplementary Materials for
Evolution of carnivorous traps from planar leaves through simple shifts in gene expression
Christopher D. Whitewoods*, Beatriz Gonçalves*, Jie Cheng*, Minlong Cui,
Richard Kennaway, Karen Lee, Claire Bushell, Man Yu, Chunlan Piao, Enrico Coen†
*These authors contributed equally to this work. †Corresponding author. Email: [email protected]
Published 21 November 2019 on Science First Release
DOI: 10.1126/science.aay5433
This PDF file includes:
Materials and Methods Figs. S1 to S10 Tables S1 to S6 Captions for Movies S1 to S10 Caption for Data S1 References
Other Supporting Online Material for this manuscript includes the following: (available at science.sciencemag.org/cgi/content/full/science.aay5433/DC1)
Movies S1 to S10 Data S1 (Excel)
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Materials and Methods
Plant material
U. gibba was obtained from The Fly Trap Plants (Cookes Road, Berghapton, NR15
1BA, UK). Plants were grown clonally in liquid medium (2.2 g/l MS, 2.5 g/l sucrose, pH 5.8) 30
in a controlled environment room at 25 °C, with 16-hour light and 8-hour dark cycles.
To identify candidate genes in U. gibba the Langebio genome assembly (9,10) was queried
by BLAST using AtPHV and AtFIL. The top hits for each search were used for further
analysis.
Phylogenetic analysis 35
Phylogenetic relationships were inferred using the Maximum Likelihood method based
on the JTT matrix-based model implemented on MEGA6 after alignment using MUSCLE
(27). A complete list of sequences used to generate YABBY, HDZIP-III and KANADI
phylogenies is available in Table S1.
RNAseq 40
For RNAseq analysis, traps were divided into six developmental stages based on length
(approximately 180µm, 270µm, 410µm, 620µm, 930µm and 1400µm) and collected in
triplicates of 5 to 20 traps each. A triplicate of leaflet tissue with no traps was also collected.
Total mRNA was extracted and converted to double stranded cDNA for Illumina Hiseq
sequencing (Earlham Institute). The 50bp single-end reads were processed and mapped 45
against the Langebio genome assembly1.
Sequencing was carried out by the Earlham Institute (then TGAC), Norwich. A total of
21 libraries were sequenced in one pool on two lanes of the Illumina HiSeq (Rapid Run mode
with on board clustering (duel indexing)) to generate 50 bp single-end reads. Reads were
filtered using fastq-mcf (28). Reads were trimmed after a position with a quality score below 50
20. After trimming, only reads with a minimum length of 30 bp and minimum mean quality
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score of 20 were kept. Reads with ambiguous bases were discarded. All sequencing cycles
were maintained and the adapter trimmer was turned off.
The filtered FASTQ reads (50 bp single end) from each sample were mapped to the U.
gibba published genome (9) using the software TopHat v. 2.0.10 (29). Minimum intron 55
length was set 40 bp and the maximum intron length was set to 100,000 bp. Mapped reads
were assembled into transcripts using cufflinks v. 2.1.1 (30). The min-isoform-fraction option
was used and set to 0.05, and intron size was set to a maximum of 100 kb. Option –u was
used to correct for reads mapping to multiple locations. Transcript expression was normalised
by the upper quartile of the number of fragments mapping to each gene. The new bias 60
detection and correction algorithm was run to improve accuracy of transcript abundance
estimates. The transcript assemblies were merged into a single global transcript list using the
cuffmerge tool from cufflinks, following default settings.
The global transcript file generated in the previous step was used to calculate each
transcript’s expression value. Normalised expression values (FPKM) were calculated for each 65
transcript using the cuffdiff tool in the cufflinks package (31).
In situ hybridisation
In situ hybridisation was performed as previously described (33) with minor
modifications: The pronase digestion step was performed at 37ºC, the two probes were
hydrolysed for 60 minutes, hybridisation was overnight at a range of temperature from 48.5ºC 70
to 50ºC and staining and detection was over 60h. To produce digoxigenin labelled antisense
RNA probes, coding sequences for UgPHV1, UgFIL1, UgKAN1, UgKAN2 and UgKAN6
were synthesized (Lifetech) and cloned between T7 promoters using Golden Gate
technology. The cloned fragments were amplified using forward-specific primers (UgPHV1
5’- AGTCTGGAGCTTTTCCGAGC-3’, UgFIL1 5’-CTTCCTTCCCATTTGCAGCG-3’, 75
UgKAN1 5’-CTTCAGTGGCGGAAACCAAC-3’, UgKAN2 5’-
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ATCACGGGCTTCACAGATCG-3’, UgKAN6 5’- GGCCGCTCTCGTTTCTATCT-3’) and
a vector-specific primer. These yielded a 657bp fragment for UgPHV1, 1038bp for UgFIL1,
968bp for UgKAN1, 791bp for UgKAN2 and 821bp for UgKAN6. PCR products were
purified and processed for hybridisation as previously described (32). Results are shown for 80
UgPHV1, UgFIL1 and UgKAN1. The probes for UgKAN2 and UgKAN6 generated similar
results to UgKAN1.
Plant transformation
The p35S::KANR_pHS18.2::CRE_p35S:LoxP-eGFP-LoxP-UgPHV1-CFP construct was
assembled by Golden Gate cloning (33), using the complete coding sequence of UgPHV1 85
with domesticated sites to remove BsaI, BpiI and DraIII restriction sites and render the
putative microRNA binding site resistant to cleavage. U.gibba tissue was grown on solid ½
MS (4.4g/L MS, 25g/L sucrose) before transfer to solid callus-inducing media (½ MS, 1
mg/L 6-Benzylaminopurine (BA, Sigma-Aldrich, B3408) and 0.5 mg/L 1-Naphthaleneacetic
acid (NAA, N0640)) for 3 to 6 weeks. Agrobacterium tumefaciens (GV3101) was 90
transformed with a binary plasmid containing the construct described above and used as a
vector for transformation of callus tissue. The strain was grown, pelleted and resuspended at
0.1-0.2 OD in liquid callus media with 20 mg/L Acetosyringone (AC, Sigma-Aldrich,
D134406). Callus tissue was infected by vacuum infiltration for 1 minute followed by co-
culture in solid callus media with 20 mg/L AC for 3 days at 23ºC in the dark. Co-culture 95
tissue was transferred to solid callus media with 250mg/L CEF (Cefotaxime, Sigma Aldrich,
C7039) for 2 weeks to kill the Agrobacterium then transferred to same media with 150mg/L
G418 (Sigma Aldrich, A1720) for selection of transformed tissues. Transformation of 16
independent plants was confirmed after 4 weeks by presence of GFP fluorescence. All 16
lines had wild-type phenotype and 4 of these showed consistent phenotypes when heat-100
shocked. Single transgene insertion in these lines was checked by copy number analysis using
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qPCR (iDNA Genetics) with primers for the nptII resistance gene and a single copy control
gene, and two lines were used in subsequent experiments.
Induction experiments
For induction experiments, HS-UgPHV1 plant tissue was grown under standard 105
conditions (25°C, with 16-hour light and 8-hour dark cycles as described above), and 1cm-
long sections of including the apical spiral were transferred to liquid media in 6-well plates
and heat-shocked for 12 minutes at 48ºC in a water-bath, before being transferred back to
standard growth conditions. Plants in were imaged at daily intervals as described below.
Control plants were grown and imaged in the same except for the heat-shock treatment. 110
The sizes of leaf primordia within the spiral at the time of induction were inferred as
follows: Node 0 was defined as the node bearing the smallest visible leaf outside of the spiral
(mean leaf length = 3mm, n=10, Table S2). The number of leaves initiating per day was
counted and used to calculate the average plastochron (12 hrs, n=18, Table S3). The
plastochron and leaf size at node 0 were then used in combination with the growth rate of 115
leaves, calculated from tracking the growth over 24 hours (Data S1), to infer the size of
leaves on younger nodes (-1 to -4; Table S4). The growth equation for leaves was
y=1.647e0.0353t where y is leaf length in millimeters and t is time in hours (Data S1).
The sizes of trap primordia within the spiral at the time of induction were inferred as
follows: The size of traps on node 0 at the time of induction (time 0) were measured (mean= 120
201m, n=9; Table S5), and the plastochron (12 hours; Table S2), and trap growth equation
(y=9.86e0.018x; taken from 7) used to infer the size of traps on younger nodes (-1 to -4; Table
S6).
Imaging
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Live plant tissues were imaged in water using a Leica M205C stereomicroscope with 125
Leica DFC495 camera. In situ hybridised material was imaged using a Leica DM6000 and a
Zeiss Axio Imager. For confocal imaging, samples were fixed in 10% acetic acid and 50%
methanol and stained using modified pseudo-Schiff propidium iodide (mPS-PI) protocol (35).
Imaging was performed on a Leica SP5-II confocal microscope and mPS-PI stained tissues
were excited with a 488-nm helium–neon laser and fluorescence was collected between 485–130
565nm.
In situ and optical images from live tissue were analysed using ImageJ software
(http://imagej.nih.gov/ij/). Confocal image Z-stacks were saved as .png format image
sequences using ImageJ software (http://imagej.nih.gov/ij/), for visualization, measurement,
virtual dissection and volume rendering with VolViewer software 135
(http://cmpdartsvr3.cmp.uea.ac.uk/wiki/BanghamLab/index.php/VolViewer). Measurements
were taken as shown in Fig. 1 and Fig. S1.
Computational Modelling
All 3D and 2D models used GFtbox (14), a toolkit implemented in Matlab. It is
available for downloading from (http://sourceforge.net/projects/gftbox/). 140
We used the growing polarised tissue (GPT) modelling framework, in which tissue is
treated as a continuous volume of material (14). We assume that for each region of tissue,
there is a specified growth rate that defines how much, and in which orientations, that region
would grow in mechanical isolation from neighbouring tissue. Because of the constraints of
mechanical connectivity, in general, there will be no deformation field in which every region 145
of the tissue achieves its specified growth. Thus, resultant growth (i.e. how each region grows
in the context of mechanical constraints) will therefore, typically differ from specified
growth. The difference between the specified and resultant growth is the residual strain, and
produces a proportionate residual stress. The actual deformation resulting from the field of
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specified growth is taken to be whatever shape minimizes the residual strain energy. 150
Residual strain is assumed to dissipate after each growth step, reflecting the irreversible
plastic flow involved in plant growth (35).
The models have two coordinated networks: the Polarity Regulatory Network (PRN)
which sets up the polarity fields, and the Growth Regulatory Network (KRN) which defines
specified growth rates. The resultant growth depends on specified growth rates and 155
mechanical constraints.
Description of 3D models
The initial state is a hemispherical mesh of unit radius consisted of 92,096 finite
elements, which were not subdivided during the simulation. A latitudinal and longitudinal
grid was superimposed on the initial hemisphere to show the deformation of mesh during 160
growth. All models were run for 12 time units.
The adaxial-abaxial system was implemented by identity factors ADAXIAL (AD, blue
in Fig. 4D), ABAXIAL (AB, brown in Fig. 4D). AD and AB domains each generated a
diffusible signal. MIDPLANE (MIP, green in Fig. 4D), was activated where both the AD
and AB signals fell below a threshold value. An alternative implementation would be to have 165
MIP activated when the AD signal is above a threshold value, but in absence of AD identity.
To specify the growth orientations in three-dimensional space, we defined two polarity
fields – orthoplanar polarity field and proximodistal polarity field. The orthoplanar polarity
field was established by a diffusible morphogen POL generated by a source (plus organiser)
at the surfaces of mesh, and removed at a sink (minus organiser) activated by MIP. Other 170
implementations for an orthoplanar polarity field are also possible, such as the plus organiser
being on the adaxial surface and the minus organiser on the abaxial surface or vice versa.
The proximodistal polarity field was established by another diffusible morphogen POL2
generated by a source at the base of the primordium (magenta, Fig. 4A), and removed at a
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sink at the tip of the primordium (yellow, Fig. 4A). Another possibility is a proximo-marginal 175
polarity field, with the sink at the intersection between MIP and the surface of the
primordium. Specified growth rates parallel to the orthoplanar polarity field were named Kop
(kpar in GFtbox), growth rates parallel to the proximodistal polarity field named Kpd (kpar2
in GFtbox), and growth rates perpendicular to both Kop and Kpd named Kper (kper in GFtbox).
Specified growth rates per time unit for the different models were: 180
Fig. 4, A to C
Kpd = 0.25
Kop = 0.001
Kper = 0.001
Fig. 4, D to G, Fig. 4, J to P, Fig. S7, A to B, D to E and G to H, and Fig. S8, A to B 185
Kpd = 0.25
Kop = 0.001
Kper = 0.2
Fig. 4, H to I, and Fig. S7, C and F
Kpd = 0.25 190
Kop = 0.001
Kper = 0.05
Fig. S8C
Kpd = 0.3
Kop = 0.001 195
Kper = 0.15
Fig. S9, A and B
Kpd = 0.25
Kop = 0.001
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Kper = 0.2 * inh (10, ipetiole), 200
where ipetiole denotes the level of factor PETIOLE and inh (z, ipetiole) denotes multiply by 1/ (1
+ zipetiole). The petiole domain is defined by a new morphogen named PETIOLE expressed at
the base of the primordium (red, Fig. S9A).
Fig. S9C
Left to right, 205
1. Kpd : Kper : Kop = 1 : 0.8 (0.08 in the petiole domain) : 0.004
2. Kpd : Kper : Kop = 1 : 0.36 (0.036 in the petiole domain) : 0.003
3. Kpd : Kper : Kop = 1 : 0.2 (0.02 in the petiole domain) : 0.002
4. Kpd : Kper : Kop = 1 : 0.1 (0.01 in the petiole domain) : 0.001
The petiole domain is defined by a new morphogen named PETIOLE expressed at the base of 210
the primordium (red, Fig. S9A).
Fig. S9, D to E
The stalk domain is defined by a new morphogen named STALK expressed at the base of the
primordium (red, Fig. S9D).
Kpd = 0.25 215
Kop = 0.001
Kper = 0.2 * inh (10, istalk),
where istalk denotes the level of factor STALK and inh (z, istalk) denotes multiply by 1/ (1 +
zistalk).
Description of 2D models 220
The initial state was a circular mesh with unit radius (r=1) consisting of 2,400 finite
elements, which were not subdivided during the simulation. AD, AB and MIP domains were
set up as described for the 3D models. A single polarity field (orthoplanar) was established
by a diffusible morphogen POL generated by a source (plus organiser) at the outer rim of the
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mesh and removed at a sink (minus organiser) activated by MIP. Two growth rates were 225
specified: growth rate parallel to the polarity field named Kop (kapar/kbpar in GFtbox);
growth rate perpendicular to the polarity field named Kper (kaper/kbper in GFtbox).
To simulate cell division, we superimposed polygons (number=100) on the initial state to
represent cells. The vertices of polygons were anchored and moved during the tissue growth.
New vertices were introduced as cells according to the rule that the new wall follows the 230
shortest path passing through the cell centre (6). For visualisation purposes, three cell factors
were defined corresponding to the AD, AB and MIP regional identities.
Fig. 4 Q to S
Model was run for 7 time units with specified growth rates per time unit of:
Kop = 0.001 235
Kper = 0.2
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Fig. S1.
Trap Height, Width and Thickness plotted against trap Length. Measurements taken as shown 240
in inset. Color reference matched to Figure 1.
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Fig. S2. 245
HDZIP-III, YABBY and KANADI family members in Utricularia gibba. A-C, Molecular
Phylogenetic analysis by Maximum Likelihood method of HDZIP-III (A), YABBY (B) and
KANADI (C) family members. Circles represent character states for expression pattern of the
genes and presence absence of lamina as indicated in the box. D-F, Heatmap of transcript
RNAseq levels for the candidate genes found in samples of a range of traps sizes and one 250
sample of leaves, displayed in fragments per kilobase of transcript per million mapped reads.
Species used in phylogenetic analysis: Am, Antirrhinum majus; At, Arabidopsis thaliana;
Cci, Cabomba caroliniana; Cco, Coffea canephora; Cfol, Cephalotus follicularis; Ds,
Dawsonia superba; Ed, Equisetum diffusum; Ep, Elaphoglossum peltatum; Gb, Ginkgo
biloba; GSVIV, Vitis vinifera; Or, Osmunda regalis; Os, Oryza sativa; Pg, Pilularia 255
globulifera; Pm, Pseudotsuga menziesii; Pn, Psilotum nudum; Potri, Populus trichocarpa; Pp
or PP, Physcomytrella patens; Ps, Papaver somniferum; Sb, Sorghum bicolor; Sk, Selaginella
kraussiana; Solyc, Solanum lycopersicum; Sp, Sarracenia purpurea; Sr, Streptocarpus rexii;
Ta, Triticum aestivum; Tm, Tropeaoleum majus; Ug, Utricularia gibba; Zm, Zea mays.
260
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Fig. S3.
UgPHV1 and UgFIL1 expression patterns in Utricularia gibba leaf and trap
development. A-D, UgPHV1 expression in leaflet primordia (A,B) and young leaflet (C,D)
in longitudinal (A,C) and cross section (B,D). E-H, UgFIL1 expression in leaflet primordia 265
(E,F) and young leaflet (G,H) in longitudinal (E,G) and cross section (F,H). I-J, Volume
rendering (see ‘Imaging’ in Materials and Methods) of two leaflet developmental stages
imaged by confocal microscopy, with regions colored in according to expression identity
(UgPHV1 in blue and UgFIL1 in yellow). K-P, UgPHV1 expression in traps at representative
developmental stages, in longitudinal (K-O) and cross section (L-P). Q-V, UgFIL1 270
expression in traps at representative developmental stages, in longitudinal (Q-U) and cross
section (R-V). W-Y, Volume rendering (see ‘Imaging’ in Materials and Methods) of three
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trap developmental stages imaged by confocal microscopy, with regions colored in according
to expression identity (UgPHV1 in blue and UgFIL1 in yellow). Lt leaflet in transverse
(cross) section, Ll leaflet in longitudinal section, Lo leaflet in oblique section, Tt trap in 275
transverse (cross) section, Tl trap in longitudinal section. Scale bars, 50 m. Images are
duplicated from main text figures as follows: A, B, E, F, K, L, Q, R, M, O, S and U from Fig.
2 A, B, C, D, E, F, G, H, I, J, K and L respectively and I, J, W and X from Fig. 1 G, H, J and
L respectively.
280
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Fig. S4.
Heat-shock induction of UgPHV1. A-D, Control (uninduced) plants show uniform GFP
expression over 3 days of growth. E-H, Plants that undergo a 10 minute heat-shock induction
of UgPHV1 lose GFP in newly developed tissue after 3 days. I-J, In situ hybridization of 285
UgPHV1 in transverse sections of control (I) and HS-UgPHV1 induced (J) tissues. Induced
developing primordia show a broader domain of UgPHV1 expression. A, C, E and G are
transmitted light images and B, D, F and H are GFP fluorescence. Scale bars: 5 mm (A-H);
100μm (I,J). Large traps often maintain GFP expression in glandular cells, suggesting that the
induction of PHV may not be efficient in older tissues. 290
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Fig. S5.
Induction of UgPHV1 induces radial leaflets. A-F, Confocal micrographs of six different
leaflet primordia in induced plants (10 days after heat-shock) have circular transverse 295
sections. Sections of non-induced leaves are oval at similar sizes (See Fig. 1). Scale bars:
10μm.
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Fig. S6. 300
UgPHV1 induction disrupts trap development. A-B, Plant expressing 35S::UgPHV1 on
day 0 (A) and 7 days after heat-shock induction (B). Nodes are numbered according to their
position at induction (day 0), and color coded for each phenotypic region. Red for nodes with
no traps visible on the stereomicroscope (upper region), blue for nodes with traps visible but
stunted (middle region), and black for nodes with traps unaffected by induction (lower 305
region). The regions of the stolon at day 0 that give rise to these regions are marked in (B) in
the same colours. C-E, Confocal micrographs of small malformed structures that are
observed in the position of traps in the upper region. F-H, Small traps located in the middle
region, visible by stereomicroscope (F,G) and confocal imaging (H). Scale bars: 5mm (A,B);
50μm (C-E, H); 100μm (F,G). Panels A and B are reproduced from Fig. 3 C and D. 310
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Fig. S7.
Robustness of the model to initial primordium shapes. (A to C) Models initiated with an
elliptical primordium shape (hemiellipsoid). Initial (A) and final (B, C) states shown in 315
oblique view. Relative growth rates for (B) (Kpd : Kper : Kop = 1 : 0.8 : 0.004), generate a
flattened shape while growth rates in (C) (Kpd : Kper : Kop = 1 : 0.2 : 0.004), generate an
elliptical cylinder. (D to F) Leaf models initiated with an elongated primordium shape. Initial
(D) and final (E and F) states shown in oblique view. Relative growth rates in (E) (Kpd : Kper :
Kop = 1 : 0.8 : 0.004), generate flattened shape while growth rates in (F) (Kpd : Kper : Kop = 1 : 320
0.2 : 0.004), generate an elliptical cylinder. (G and H) Cup model initiated with an elongated
primordium shape. Initial (G) and final (H) states shown in oblique view. Relative growth
rates in (H) are (Kpd : Kper : Kop = 1 : 0.8 : 0.004). Adaxial (blue), abaxial (brown) and
midplane (green) domains colored. Proximodistal polarity runs from organizers at base to tip
and orthoplanar polarity (black arrows) runs from surface to midplane organizer. Both 325
proximodistal and orthoplanar polarity fields run through the whole primordium but only
orthoplanar polarity field is shown on the cutaway surface, for simplicity. Transverse or
longitudinal sections indicated by color-coded rectangles. Scale bars in arbitrary units.
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330 Fig. S8.
Modified model for trap development in Sarracenia with lid. (A to B) Initial (A) and final
(B) states shown in oblique and cutaway views with adaxial (blue), abaxial (brown) and
midplane (green) domains colored as in Fig. 4M. The distal part of the hemisphere has the
same pattern as in Fig. 4D. Relative growth rates in (B) are (Kpd : Kper : Kop = 1 : 0.8 : 0.004). 335
(C) Final state shown in oblique and cutaway views with modified grow rates (Kpd : Kper : Kop
= 1 : 0.5 : 0.003). (D) Three transverse sections, corresponding to three dissection levels of
the initial stage shown in (A). (E) Three transverse sections, corresponding to three dissection
levels of the final stage shown in (C). Proximodistal polarity (red arrows) runs from
organizers at base to tip and orthoplanar polarity (black arrows) runs from surface to 340
midplane organizer. Both proximodistal and orthoplanar polarity fields run through the whole
primordium but are shown only on the outer surface and cutaway surface, respectively, for
simplicity. Levels of transverse sections indicated by color-coded rectangles. Scale bars in
arbitrary units.
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345 Fig. S9.
Modified leaf and trap models with petiole/stalk. (A to C) Generation of diverse flat leaves
with additional petiole domain (red). Initial state (A) and development stages (B) of a flat leaf
shown in oblique view. (C) Morpho-space of flat leaves by varying Kpd/Kper, see Description
of 3D models in Methods for relative growth rates. (D and E) Generation of a cup with stalk 350
domain. Initial state (D) and development stages (E) states shown in oblique view. Relative
growth rates in (E) (Kpd : Kper : Kop = 1 : 0.8 (0.08 in the petiole/stalk domain) : 0.004). Scale
bars in arbitrary units.
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355
Fig. S10.
Evolutionary scenarios for the generation of diverse leaf forms. (1) Beginning with a
tapering radial cylinder as ground state, an ancestral flat leaf can be generated by introducing
the adaxial-abaxial system and a petiole. This form is similar to what is now seen in many
leaves such as Arabidopsis thaliana illustrated in the top right. (2-4) This flat leaf 360
developmental program can be modified through shifts in gene expression and growth rate
modulation to generate diverse forms. Generation of a filiform leaf by reducing Kper (such as
Utricularia gibba leaflet, (2)). Generation of a cup by restricting the adaxial domain (such as
Utricularia gibba trap, (3)). Generation of a pitcher leaf by restricting the adaxial domain
while retaining a proximal strip of activity (such as Sarracenia flava, (4)). 365
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Species Gene Genbank Reference
Arabidopsis thaliana
ATHB15/AtCNA AT1G52150
TAIR
ATHB-8 AT4G32880
ATML1 At4g21750
AtPHB AT2G34710
AtPHV AT1G30490
AtREV AT5G60690
Cabomba caroliniana CcC3HDZ1 BAJ83628.1 Yamada 2011
Dawsonia superba DsC3HDZ1 AMB49032.1 Yip 2016
Elaphoglossum peltatum EpC3HDZ2 ANC28169.1 Vasco 2016
Equisetum diffusum EdC3HDZ2 AMS37122.1 Vasco 2016
Ginkgo biloba GbC3HDZ1 ABD75306.1 Floyd 2006
Osmunda regalis OrC3HDZ2 AMS37129.1 Vasco 2016
Physcomytrella patens
PpC3HDZ1 ABD75297.1
Yip 2016 PpC3HDZ3 AMB49028.1
PpC3HDZ4 AMB49029.1
Pilularia globulifera PglC3HDZ2 AMS37133.1 Vasco 2016
Pseudotsuga menziesii PmC3HDZ1 ABD75309.1 Vasco 2016
Psilotum nudum PnC3HDZ2 ABD75303.1 Vasco 2016
Sarracenia purpurea SpPHB BAQ19376.1 Fukushima 2015
Selaginella krausiana
SkC3HDZ1 ABD75300.1 Floyd 2006
SkC3HDZ2 ABD75301.1 Floyd 2006
Utricularia gibba
UgPHV1 Scf00004.g913
LANGEBIO v4.1,
named in this study
UgPHV2 Scf00001.g276
UgPHV3 Scf00044.g5034
UgREV1 Scf00042.g4804
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UgREV3 Scf00184.g11794
UgREV2 Scf00450.g17884
UgCNA Scf00691.g20852
Table S1A
List of sequences used in HDZIP-III phylogenetic analysis
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Species Gene Genbank Reference
Antirrhinum majus
AmGRAM AAS10177.1
Golz 2004
AmCRC AAS10180.1
AmINO AAS10181.1
AmPROL AAS10178.1
AmYAB2 AAS10179.1
Arabidopsis thaliana
AtCRC AT1G69180
TAIR
AtYAB2 AT1G08465
AtFIL AT2G45190
AtYAB3 AT4G00180
AtYAB2 AT1G08465
AtINO AT1G23420
AtYAB5 AT2G26580
Cabomba caroliniana
CcCRC BAJ83627.1
Yamada 2011
CcFIL BAJ83625.1
CcINO BAJ83626.1
CcYAB5 BAJ83624.1
CcYAB2 BAJ83623.1
Ginkgo biloba
GbYAB1B CTQ35246.1
Finet 2016 GbYAB2B CTQ35248.1
GbYABC CTQ35250.1
Oryza sativa
OsYABBY1 BAF45802.1 Toribe 2007
OsYABBY2 BAF45803.1 Toribe 2007
OsYABBY4 BAF45805.1 Liu 2007
OsDL XP_015630075.1 Yamaguchi 2004
Papaver somniferum PsYAB3 XP_026389545.1 Vosnakis 2012
Pseudotsuga menziesii PmYABC CTQ35254.1 Finet 2016
Submitted Manuscript: Confidential
26
Sarracenia purpurea SpFIL BAQ19377.1 Fukushima 2015
Sorghum bicolor SbDL BAH83537.1 Ishikawa 2009
Streptocarpus rexii SrGRAM ACL68660.1 Tononi 2010
Triticum aestivum TaDL BAJ54068.1 Ishikawa 2009
Tropaeolum majus TmYABBY AAV74414.1 Gleissberg 2005
Utricularia gibba
UgFIL1 Scf00036.g4336
LANGEBIO v4.1,
named in this study
UgFIL2 Scf00038.g4513
UgFIL3 Scf00297.g14946
UgFIL4 Scf02045.g25594
UgYAB2 Scf00886.g22488
UgCRC Scf00096.g8262
UgINO Scf00100.g8452
Zea mays ZmDL NP_001148730.1 Ishikawa 2009
Table S1B 370
List of sequences used in YABBY phylogenetic analysis
Submitted Manuscript: Confidential
27
Species Gene Genbank Reference
Arabidopsis thaliana
AtATS AT5G42630
TAIR
AtKAN1 AT5G16560
AtKAN2 AT1G32240
AtKAN3 AT4G17695
Coffea canephora
CcKAN1 GSCOCG00024897001
Genoscope v1
CcCYP450 GSCOCG00024897001
Cephalotus follicularis
Cfol−v3−23798
Fukushima 2017 Cfol−v3−01995
Cfol−v3−19237
Physcomitrella patens
PP00114G00880
Phytozome PP00009G01280
PP00049G00800
Populus trichocarpa
Potri.014G037200.1
Phytozome
Potri.002G130200.1
Potri.017G137600.1
Potri.004G082400.1
Potri.012G042100.1
Potri.015G031600.1
Potri.001G137600.1
Potri.003G096300.1
Solanum lycopersicum Solyc11g011770.1.1
Phytozome
Solyc08g005260.1.1
Vitis vinifera
GSVIVT01026319001
Phytozome GSVIVT01024383001
GSVIVT01013085001
Utricularia gibba UgKAN1 Scf00203.g12422
Submitted Manuscript: Confidential
28
UgKAN2 Scf00280.g14523
LANGEBIO v4.1,
named in this study
UgKAN3 Scf00151.g10673
UgKAN4 Scf00082.g7466
UgKAN5 Scf00335.g15719
UgKAN6 Scf00022.g3054
UgKAN7 Scf02105.g25653
UgKAN8 Scf00665.g20623
Zea mays
ZmKANADI1 ACH68606.1
Candela 2008 ZmKANADI3 ACH56978.1
ZmMWP1 ACH56977.1
Table S1C
List of sequences used in KANADI phylogenetic analysis
Submitted Manuscript: Confidential
29
Length of leaf on node 0 measured in m at induction
2476
3563
2619
2863
1823
1929
1645
3937
4573
5116
Average
3054.4
Table S2.
Length (m) of leaves on node 0 at induction. 375
Submitted Manuscript: Confidential
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Plant How many nodes on day 7… … since day Nodes per day Plastochron in hours
1a 9 1 1.50 16
1b 14 0 2.00 12
1d 14 0 2.00 12
1e 6 1 1.00 24
1f 11 1 1.83 13
2a 17 0 2.43 10
2b 12 1 2.00 12
2c 17 0 2.43 10
2d 10 1 1.67 14
2e 17 0 2.43 10
2f 14 0 2.00 12
3a 8 3 2.00 12
3b 20 0 2.86 8
3c 15 1 2.50 10
3d 16 0 2.29 11
3f 14 0 2.00 12
Average: 2.06 12.35
Table S3.
Calculation of plastochron. Number of nodes initiated over growth period, used to calculate
the number of nodes per day and then the period of one plastochron in hours. 380
Submitted Manuscript: Confidential
31
Node Length of leaf (m)
-4 570.99
-3 863.92
-2 1315.48
-1 2004.46
Table S4.
Predicted sizes of leaves on nodes inside spiral on the day of induction (day 0). These were
calculated from Table S2, S3 and Data S1 as described in Methods.
Submitted Manuscript: Confidential
32
Length of trap on node 0 (m) at induction
280
184
162
300
129
210
245
98
Average
201
385
Table S5.
Size (m) of traps on node 0 at induction.
Submitted Manuscript: Confidential
33
Node Length of Trap (m)
-4 85.28
-3 105.67
-2 131.31
-1 160.03
Table S6.
Predicted sizes of traps on nodes inside spiral on the day of induction (day 0). These were
calculated from Table S2, S5 and Data S1 as described in Methods. 390
Submitted Manuscript: Confidential
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Movie S1
Movie of model shown in Fig. 4, A to C.
Movie S2
Movie of model shown in Fig. 4, D to G.
Movie S3 395
Movie of model shown in Fig. 4, H and I.
Movie S4
Movie of model shown in Fig. 4, J to L.
Movie S5
Movie of model shown in Fig. 4, M and N. 400
Movie S6
Movie of model shown in Fig. 4, Q to S (left panel).
Movie S7
Movie of model shown in Fig. 4, Q to S (right panel).
Movie S8 405
Movie for model shown in Fig S8 A, B
Movie S9
Movie for model shown in Fig S8 C
Movie S10
Movie for model shown in Fig S9 A, B 410
Data S1
Data used to calculate leaf growth rates. Length of leaves at node 0 was measured over a 48
hour period and used to calculate a growth rate. Growth rate reduced as leaves reached
maturity, so for calculations of primordia size the growth of leaves over the first 24 hours. 415
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