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Running Title: Characterisation of CENTRORADIALIS in barley 1
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Corresponding Author: Maria von Korff, Heinrich Heine University, c/o Max Planck Institute 4
for Plant Breeding Research, Carl-von-Linné-Weg 10, 50829 Cologne, Germany. Phone 5
+492215062247, email: [email protected] 6
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Research Area: Genes, Development and Evolution 8
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Plant Physiology Preview. Published on April 19, 2019, as DOI:10.1104/pp.18.01454
Copyright 2019 by the American Society of Plant Biologists
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CENTRORADIALIS interacts with FLOWERING LOCUS T-like genes to control spikelet 13
initiation, floret development and grain number 14
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Xiaojing Bi, Wilma van Esse, Mohamed Aman Mulki, Gwendolyn Kirschner, Jinshun Zhong, 16
Rüdiger Simon, Maria von Korff* 17
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Max Planck Institute for Plant Breeding Research, D-50829, Cologne, Germany (M.K., X.B., 19
M.A.M., J.Z.); Institute of Plant Genetics, Heinrich-Heine-University, 40225 Düsseldorf, 20
Germany (M.K., X.B., J.Z. ); Institute for Developmental Genetics, Heinrich-Heine-21
University, 40225 Düsseldorf, Germany (G.K., R.S.), Cluster of Excellence on Plant Sciences 22
“SMART Plants for Tomorrow’s Needs” 40225 Düsseldorf, Germany (G.K., R.S., M.K.); 23
Laboratory of Molecular Biology, Wageningen University and Research, Droevendaalsesteeg 24
1, 6708 PB Wageningen, the Netherlands (W.E.). 25
*Address correspondence: [email protected] 26
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Authors’ Contribution 29
M.K. conceived the original research project. X.B., W.E., M.A.M. and M.K. designed the 30
experiments. X.B. carried out the experiments and analysed the data. G.K. and R.S. conducted 31
the in situ RNA hybridization. J.Z. contributed to the bioinformatic analyses. X. B. and M.K 32
wrote the manuscript, M.K., W.E., R.S. and J.Z. edited the manuscript. 33
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Summary: CENTRORADIALIS interacts with FLOWERING LOCUS T-like genes to 36
control spikelet initiation, floret development and grain number in barley. 37
Funding information 38
This research was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research 39
Foundation) under Germany´s Excellence Strategy – EXC 2048/1 – 390686111, the Priority 40
Programme (SPP1530 Flowering time control- from natural variation to crop improvement) 41
and the Max Planck Society. X. B. received a fellowship from the CSC (Chinese Scholarship 42
Council) 43
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Corresponding Author: Maria von Korff. [email protected] 45
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Abstract 47
CENTRORADIALIS (CEN) is a key regulator of flowering time and inflorescence architecture in 48
plants. Natural variation in the barley homolog HvCEN was important for agricultural range expansion 49
of barley cultivation. However, its effects on shoot and spike architecture and consequently yield have 50
not yet been characterised. We evaluated 23 independent hvcen, also termed mat-c, mutants to 51
determine the pleiotropic effects of HvCEN on developmental timing and shoot and spike 52
morphologies of barley under outdoor and controlled conditions. All hvcen mutants flowered early and 53
showed a reduction in spikelet number per spike, tiller number and yield in the outdoor experiments. 54
Mutations in hvcen accelerated spikelet initiation and reduced axillary bud number in a photoperiod 55
independent manner, but promoted floret development only under long days (LDs). The analysis of an 56
hvcen hvft3 double mutant showed that HvCEN interacts with FLOWERING LOCUS T3 (HvFT3) to 57
control spikelet initiation. Furthermore, hvcen hvelf3 (EARLY FLOWERING 3) double mutants with 58
high HvFT1 expression levels under short days (SDs) suggested that HvCEN interacts with HvFT1 to 59
repress floral development. Global transcriptome profiling in developing shoot apices and 60
inflorescences of mutant and wild-type plants revealed that HvCEN controlled transcripts involved in 61
chromatin remodeling activities, cytokinin and cell cycle regulation and cellular respiration under LDs 62
and SDs, while HvCEN affected floral homeotic genes only under LDs. Understanding the stage and 63
organ specific functions of HvCEN and downstream molecular networks will allow manipulating 64
different shoot and spike traits and thereby yield. 65
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Introduction 71
Shoot architecture is a major determinant of grain yield and therefore a primary target for crop 72
improvement. Shoot architecture is largely defined by branching (tillering) patterns, plant height, leaf 73
shape and arrangement, and inflorescence morphologies. These traits are controlled by the combined 74
activities of the shoot apical meristem (SAM) and the axillary meristems (AXMs) (Nakagawa et al., 75
2002; Teichmann and Muhr, 2015). A vegetative SAM gives rise to leaves and AXMs that form in the 76
leaf axils (Turnbull, 2005). As plants transition from vegetative to reproductive growth, the SAM 77
forms an inflorescence, flowers and eventually seeds. Grasses exhibit a striking diversity in their 78
inflorescence architectures that is determined by meristem initiation and determinacy decisions, the 79
acquisition of spikelet meristem identity and the determinacy of the spikelet meristem (Bommert and 80
Whipple 2018). The spikes of barley display a raceme-like branchless shape and consist of triple 81
spikelets produced on two opposite sides along the main axis (rachis). While the barley inflorescence 82
is indeterminate, the barley spikelet is determinate as a defined number of florets is produced, a 83
maximum of a single floret and grain, per spikelet. The triple spikelet meristem (TSM) of barley 84
consists of one central spikelet meristem (CSM) and two lateral spikelet meristems (LSM). Most 85
studies on barley spike architecture have focused on the genetic basis of two-rowed versus six-rowed 86
spikes which is determined by differential development of the lateral spikelets (Komatsuda et al., 87
2007; Koppolu et al., 2013; Ramsay et al., 2011; van Esse et al., 2017; Bull et al., 2017; Youssef et al., 88
2016). However, recent studies have shown that spike architecture is also affected by genetic factors 89
controlling the timing of pre-anthesis development in barley and wheat. The flowering time regulators 90
PHOTOPERIOD1 (PPD-H1) and its downstream target FLOWERING LOCUS T1 (FT1), homolog of 91
Arabidopsis FT, affect the number of spikelets produced on the main inflorescence in barley and 92
wheat, likely by affecting the rate and duration of spikelet initiation (Digel et al., 2015, Boden et al., 93
2015). FT-like genes belong to phosphatidylethanolamine-binding proteins (PEBP), whose homolog in 94
humans was characterised as a Raf kinase inhibitor protein (RKIP), mediating the RAF/MEK/ERK 95
signal transduction pathway (Kobayashi, 1999; Kardailsky, 1999; Bradley et al., 1996, 1997; Yeung et 96
al., 1999; Ohshima et al., 1997). In plants, the PEBP family comprises proteins with antagonistic 97
effects on development as they either promote or inhibit floral transition. FT-like genes generally 98
induce flowering while CENTRORADIALIS (CEN), first described in Antirrhinum, represses the 99
initiation of floral meristems (Digel et al., 2015; Bradley et al., 1996; Danilevskaya et al., 2007; 100
Komiya et al., 2008; Kaneko-Suzuki et al., 2018; Turck et al., 2008). In Arabidopsis and rice, FT is 101
expressed in the leaf vascular tissue and the FT protein is transported through the phloem to the SAM 102
(Corbesier et al., 2007; Tamaki et al., 2007). In rice, the FT homolog HD3A forms a florigen-103
activating complex with 14-3-3 and FLOWERING LOCUS D (FD) homolog OsFD1 to activate the 104
expression of meristem identity genes (Taoka et al., 2011). By contrast, TERMINAL FLOWER1 105
(TFL1) the Arabidopsis homolog of CEN functions as a hypothetical competitor of FT in binding to 106
FD and 14-3-3 proteins in the shoot apex, thereby preventing the induction of flowering (Ahn et al., 107
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2006; Hanano and Goto, 2011; McGarry and Ayre, 2012; Wigge et al., 2005; Abe, 2005; Kaneko-108
Suzuki et al., 2018). An acceleration in flowering time and the formation of a terminal flower were 109
observed in both tfl1 mutants and plants overexpressing FT in Arabidopsis (Bradley et al., 1997; 110
Kardailsky, 1999; Kobayashi, 1999). The function of TFL1 homologs in controlling flowering time 111
and inflorescence architecture are conserved to some extent between grasses and eudicots. For 112
example, the Antirrhinum TFL1 homolog CENTRORADIALIS controls the determinacy of the 113
inflorescence with no effects on flowering time (Bradley et al., 1996), whereas LpTFL1 in ryegrass 114
(Lolium perenne) represses flowering and controls axillary meristem identity (Jensen et al., 2001). 115
RCN1 and RCN2, rice homologs of TFL1, delay flowering and alter the panicle architecture 116
(Nakagawa et al., 2002). Likewise, ectopic expression of the TFL1 homologs ZCN2, ZCN4, ZCN5 in 117
maize leads to late flowering and a bushy tassel with denser spikelets (Danilevskaya et al., 2010). 118
HvCEN, the barley homolog of Antirrhinum CEN and Arabidopsis TFL1, was found to contribute to 119
the expansion of barley cultivation into diverse habitats (Comadran et al., 2012). A natural Pro135Ala 120
substitution in the HvCEN protein has been selected in spring barley cultivars and prolongs vegetative 121
growth, while hvcen mutations lead to early flowering under natural long-day conditions (Comadran et 122
al., 2012). The authors could also show that induced hvcen mutants, originally designated as maturity-123
c (mat-c) mutants, flowered a few days earlier under natural long-day conditions (Druka et al., 2011, 124
Lundqvist, 2014, Comadran et al. 2012). However, the effects of HvCEN on shoot and inflorescence 125
architecture and its interaction with FT-like genes have not been characterised so far. 126
Barley has six different FT-like homologs, of which only HvFT1 and HvFT3 were functionally 127
characterised (Halliwell et al., 2016; Casao et al., 2011; Yan et al., 2006; Schmitz et al., 2000; 128
Hemming et al., 2008; Sasani et al., 2009; Chen and Dubcovsky, 2012). Elevated HvFT1 expression in 129
leaves is correlated with a strong acceleration of floral development, while HvFT3 only induces 130
spikelet initiation without effects on later floret development (Mulki et al., 2018; Digel et al., 2015). In 131
this study, we analysed a large collection of independent hvcen mutants to: 1) identify pleiotropic 132
effects of HvCEN on developmental timing and shoot and spike morphology, 2) determine 133
transcriptional targets of HvCEN in the developing SAM under different photoperiods and 3) 134
investigate the genetic interactions between HvCEN and the FT-like genes HvFT1 and HvFT3. 135
We demonstrate that HvCEN has pleiotropic effects on several shoot traits, as it delays reproductive 136
development and flowering, promotes axillary bud initiation/tillering, and increases the number of 137
spikelet primordia and plant height. Mutations in HvCEN shortened the vegetative phase under both 138
LDs and SDs but accelerated inflorescence development only under LDs. These photoperiod-specific 139
effects of HvCEN were likely dependent on antagonistic interactions with different HvFT-like proteins 140
during development. Global transcriptome analysis in developing shoot apical meristems suggested 141
that spikelet initiation as promoted by mutations in hvcen coincided with a strong reprogramming of 142
transcriptional networks, the induction of cell proliferation and changes in the energy metabolism 143
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under SDs and LDs. The subsequent rapid floral development in the hvcen mutant correlated with the 144
LD specific upregulation of floral homeotic genes. 145
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Results 147
HvCEN controls shoot and spike architecture in barley 148
To characterise the effects of different HvCEN mutations on shoot development, we analysed 149
flowering time, grains per spike, plant height, tiller number and different seed parameters in 23 allelic 150
hvcen mutants in six different spring barley backgrounds under outdoor conditions (Figure 1, Table 151
S1). All the hvcen mutants flowered significantly earlier and produced fewer grains per main spike 152
than the respective wild-type genotypes (Figure 1A, B). In addition, all hvcen mutants, except for mat-153
c.19 and mat-c.913, produced fewer tillers at flowering time compared to the corresponding parental 154
genotypes (Figure 1C). Likewise, plant height of most hvcen mutants, excluding mat-c.19, mat-c.32, 155
mat-c.93 in the Bonus background and all mutants in the Frida background, was reduced compared to 156
the respective wild-type genotypes (Figure 1D). Seed traits, including length, width, area and thousand 157
kernel weight (TKW) were not significantly different between all mutants versus wild-type plants 158
(Figure S1). 159
We calculated the degree of amino acid conservation across taxa for individual mutations. The 160
analysis revealed that all single amino acid substitutions are located in conserved positions within the 161
protein (Table S2). The mutations were positioned in the potential ligand-binding pocket (mat-c.913, 162
mat-c.93, mat-c.32, mat-c.907, mat-c.1115), the 14-3-3 protein interaction site (mat-c.943, mat-c.745) 163
and the external loop (mat-c.400) (Figure S2, Ahn et al. 2006; Ho and Weigel 2014). The external 164
loop has been shown to represent the most substantial differences between FT and TFL1 and is critical 165
for FT versus TFL1 activity in vivo (Ahn et al. 2006). The binding pocket has previously been 166
suggested to play an important role in binding to phosphorylated interacting partners (Ahn et al. 2006; 167
Ho and Weigel 2014) while the 14-3-3 protein interaction site is important for the formation of the 168
flowering activation complex (Taoka et al. 2011). All analysed mutants showed a significant 169
difference in the scored developmental traits, suggesting that these all altered the function of the 170
protein. 171
172
To further illustrate the effects of HvCEN on reproductive development, we focused on the 173
development of primary shoots of three selected hvcen mutants (mat-c.907, mat-c.94, and mat-c.943) 174
and cv.Bonus under different photoperiods and compared the timing of spikelet initiation and 175
inflorescence development between the hvcen mutants and the wild-type parent Bonus (Figure 2). The 176
hvcen mutants initiated spikelet primordia (W2.0) significantly earlier under both LDs and SDs 177
compared to the wildtype cv. Bonus (Figure 3A, 3B). However, hvcen mutants exhibited photoperiod-178
specific patterns of growth and floret development. Particularly, under LDs, floret development was 179
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greatly accelerated in hvcen mutants starting from the stamen primordium stage (W3.5) (Figure 3A). 180
Consequently, the hvcen mutant plants flowered (W9.0-10.0) about 18 days earlier than Bonus under 181
LDs (Figure 3A). In contrast, floret development under SDs did not proceed beyond the stages W4.0-182
5.5 in the mutants and the stagesW3.5-W4.5 in Bonus (Figure 2B, 3B). 183
Since hvcen mutants displayed a reduction in grain number per main spike (Figure 1 B), we also 184
evaluated the number of spikelet primordia initiated on the main shoot spike during development. 185
Under LDs, the number of initiated spikelet primordia reached its maximal level at different 186
developmental stages, in the mutant at W4.0 with 24.40± 1.58 spikelet primordia and in the wild type 187
at W5.0 with 40.00 ± 0.76 primordia (Figure 3C). Although the mutants developed fewer spikelet 188
primordia, we did not observe the formation of a terminal spikelet as has been described for the 189
Arabidopsis tfl1 mutant and is typical for the determinate wheat inflorescence (Figure S3). Under SDs, 190
the reduction in the number of spikelet primordia of hvcen mutants was only apparent prior to the 191
lemma primordium stage (W3.0) and no differences were observed between the mutants and wild type 192
after this stage (Figure 3D). Furthermore, hvcen mutants produced fewer and shorter leaves on the 193
main shoot (Figure S4) and exhibited a reduced number of axillary buds under both LDs and SDs 194
(Figure 3E, 3F). No significant differences in leaf width were observed in the mutants compared to 195
wildtype except for mat-c.943 with wider leaves under LDs (Figure S4). 196
Taken together, mutations in the three hvcen (mat-c) mutants accelerated the initiation of spikelet 197
primordia under both LDs and SDs, while floret development of the mutants was only accelerated 198
under LDs. Moreover, hvcen mutants exhibited a reduced number of spikelet primordia on the main 199
shoot apex (MSA). Finally, HvCEN affected the total number of leaves and leaf size on the main culm 200
and tiller number. 201
202
HvCEN interacts with HvFT1 and HvFT3 to control reproductive development under LDs and 203
SDs 204
The HvCEN homolog TFL1 acts antagonistically to FT in the meristem and the relative abundance of 205
FT and TFL1 proteins controls floral development and shoot architecture in Arabidopsis and other 206
crop plants (McGarry and Ayre, 2012; Kaneko-Suzuki et al., 2018). Therefore, we tested if and how 207
the effects of HvCEN on development are dependent on the function of FT-like genes in barley. 208
Barley has several FT-like genes (Halliwell et al., 2016), however, only HvFT1 and HvFT3 have been 209
functionally analysed and integrated into flowering pathways. HvFT1 is only transcribed under LDs 210
and its protein promotes spikelet initiation and floret development (Yan et al., 2006, Digel et al. 2015). 211
In contrast, HvFT3 is expressed under SDs and LDs and specifically accelerates the timing of spikelet 212
initiation but has no effects on floret development (Mulki et al., 2018). To test whether the effects of 213
HvCEN on spikelet initiation are dependent on HvFT3, we examined the development of single and 214
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double hvft3 hvcen mutants under SDs. Both genotypes, the hvft3 HvCEN single and the hvft3 hvcen 215
double mutants, did not differ in development and architecture, both showed a delayed development, 216
and an increase in the number of tillers and spikelet primordia (Figure 4A-C). Consequently, only in 217
the presence of a functional HvFT3 did the hvcen allele advances spikelet initiation, and decreases the 218
number of spikelet primordia and axillary buds. We, therefore, inferred that the photoperiod-219
independent effects of HvCEN on spikelet initiation are dependent on HvFT3. However, there was no 220
clear effect of HvCEN on the expression of HvFT3 (Figure S5), suggesting that both interact on the 221
protein level. 222
Next, we examined if the LD-specific effects on floret development could be explained by the 223
interaction of HvCEN with HvFT1 as HvFT1 is only expressed under LDs, but not SDs. For this 224
purpose, we crossed the hvcen mutant with a mutant line carrying a non-functional EARLY 225
FLOWERING 3 (HvELF3) allele. Arabidopsis ELF3 is a circadian clock gene that modulates light 226
signal transduction downstream of phytochromes and mediates the circadian gating of light perception 227
and responses (Hicks et al., 1996; Zagotta et al., 1996; Liu et al., 2001). Barley hvelf3 mutants are 228
characterised by photoperiod independent expression of HvFT1 and early flowering (Faure et al. 2012). 229
We confirmed that expression levels of HvFT1 were comparable between HvELF3 wild-type plants 230
grown under LDs and hvelf3 mutant plants grown under SDs. (Figure S6). MSA development was 231
examined in single and double hvelf3 hvcen mutants under SDs. The plants carrying hvelf3 mutations 232
developed significantly faster when compared to those carrying the wild-type HvELF3 allele 233
irrespective of the HvCEN allele (Figure 4D). More interestingly, variation at HvCEN strongly 234
repressed floral development under SDs in the background of the hvelf3 mutant but had only a minor 235
effect on floral development in HvELF3 wild-type plants. This suggested that under conditions where 236
HvFT1 is expressed, either under LDs or in the hvelf3 mutant background, HvCEN genetically 237
interacted with HvFT1 to modulate floral development. The mutation in hvcen reduced the number of 238
spikelets per MSA and axillary buds in the background of hvelf3 as it did in the HvELF3 background 239
under LDs (Figure 4E, 4F). The genotype and photoperiod specific expression patterns suggested that 240
the photoperiod dependent effects of hvcen on floret development and spikelet number was likely 241
regulated via HvFT1. However, mutations in the clock gene HvELF3 modify the expression of a large 242
number of genes (Faure et al. 2012), we therefore cannot rule out that the hvelf3 specific effect of 243
hvcen might be caused by genes other than HvFT1. 244
Molecular characterisation of HvCEN 245
To further characterise the function of HvCEN, we examined the spatial expression patterns of HvCEN 246
in the main shoot apex and crown tissue of cv. Bonus and cv. Bowman by RNA in-situ hybridization 247
at the spikelet initiation and stamen primordium stages. HvCEN RNA was localized in the axillary 248
meristems and leaf axils, but no signals were detected in the inflorescence meristems (Figure 5A-D, 249
Figure S7). To test if HvCEN was also expressed in the inflorescence but at levels too low for 250
detection by in situ hybridization, we dissected the inflorescence meristems only and tested for 251
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HvCEN expression by qRT-PCR. HvCEN mRNA was expressed in the inflorescence at both spikelet 252
initiation (W2.0) and stamen primordium stages (W3.5) with a higher level at spikelet initiation 253
(Figure 5E). These results indicate that HvCEN is expressed in both the axillary meristems and leaf 254
axils as well as the main inflorescence. 255
To further understand how HvCEN regulates the development of MSA in a photoperiod-dependent 256
and independent manner, we performed genome-wide transcriptome profiling in developing MSA in 257
two allelic hvcen mutants (mat-c.907 and mat-c.943) and the wild type (cv. Bonus). We focused on 258
three developmental stages during which genotypes exhibited phenotypic differences under LDs and 259
SDs (Figure 3, S4), including the vegetative stage (W1.0, MSA enriched tissue), the spikelet initiation 260
stage (W2.0, MSA enriched tissue) and the stamen primordium stage (W3.5, MSA tissue). 261
Transcriptome analysis revealed the expression of 24703 and 25037 transcripts, 62.2% and 63.0% of 262
the total number of annotated transcripts in barley (Mascher et al., 2017), at levels greater than 5 263
counts in at least 2 libraries under LDs and SDs, respectively (Table S10). Principle component 264
analysis on all expressed genes clustered the samples according to the developmental stage under LDs 265
and SDs and separated wild-type and mutant samples at all stages under SDs, but not under LDs 266
(Figure S8). To determine differentially expressed transcripts (DETs), we performed individual 267
pairwise comparisons between each mutant (two allelic mutants) with the wildtype background Bonus 268
at each developmental stage (three stages) within each photoperiod treatment (LDs and SDs), yielding 269
12 sets of DETs. A large number of DETs were identified at the spikelet initiation stage (W2.0), with 270
3177 DETs in mat-c.907, 2876 DETs in mat-c.943 under LDs and 5200 DETs in mat-c.907, 5585 271
DETs in mat-c.943 under SDs. At the vegetative stage (W1.0), only 50 DETs in mat-c.907, 419 DETs 272
in mat-c.943 under LDs and under SDs 14 DETs in mat-c.907, 17 DETs in mat-c.943 were found. At 273
the stamen primordium stage (W3.5), we identified 503 DETs in mat-c.907 and 477 DETs in mat-274
c.943 under LDs and 281 DETs in mat-c.907, 489 DETs in mat-c.943 under SDs (Figure S9). 275
Differences in the number of genes that were affected in the two allelic hvcen mutants may be due to 276
other background mutations in the mutants. Variant calling revealed that 12 and 78 transcripts contain 277
mutations in the mutants mat-c.907 and mat-c.943, respectively, compared to Bonus. Among them, 278
only one transcript (HvCEN) carried different mutations in both mutants (Table S3). In order to 279
minimize possible effects of other background mutations, we focused in the further analyses on 280
transcripts that were differentially regulated in both hvcen mutants, with 33, 1926 and 229 DETs under 281
LDs and 7, 4310 and 117 DETs under SDs at W1.0, W2.0 and W3.5, respectively (Figure S9). Most 282
DETs under both LDs and SDs were observed at W2.0, which corresponded to the developmental 283
stage where the highest expression of HvCEN was observed in the MSA (Figure 6A, 8A, S9). 284
Hierarchical cluster analysis separated the developmental stages on the first principal component (PC) 285
and the photoperiods on the second PC. Only samples harvested at W2.0, were separated for mutants 286
and wild type (Figure 6B, S8C). The majority of genes showed a photoperiod specific regulation. At 287
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W2.0 approximately 73% of the DETs, while at W3.5 92% of the DETs were photoperiod specific 288
(Figure 6A). 289
Taken together, HvCEN had the strongest effect on gene expression at spikelet initiation, specifically 290
under SDs. In addition, the majority of transcripts showed a photoperiod and stage specific regulation 291
in the mutant and the wild-type plants. 292
Transcripts regulated at the spikelet initiation stage correlate with an early transition to 293
reproductive growth in the hvcen mutants 294
Since spikelet initiation was accelerated in the mutants under both photoperiods, we first focused on 295
all transcripts that were regulated at W2.0 independent of the photoperiod. Gene ontology enrichment 296
analysis suggested that HvCEN primarily affected transcripts involved in chromatin modification, 297
ribosome biogenesis, response to cytokinin, cell proliferation and metabolic and biosynthetic 298
processes (Table S4). 299
Among the genes with roles in chromatin modification (selected genes in Table S5), we observed, for 300
instance, the upregulation of two homologs of Arabidopsis MULTICOPY SUPRESSOR OF IRA1 301
(AtMSI1, HORVU5Hr1G084160 (Figure 7A) and HORVU5Hr1G093230). MSI1 is involved in de 302
novo nucleosome assembly during DNA replication, SAM organization and promotes floral transition 303
in Arabidopsis by inducing the expression of CONSTANS (CO) and SOC1 (Bouveret et al., 2006; 304
Steinbach and Hennig, 2014). In addition, the expression of homologs of PROTEIN ARGININE 305
METHYLTRANSFERASES (AtPRMT5, HORVU6Hr1G019540 (Figure 7A), and AtPRMT10, 306
HORVU7Hr1G020620) was increased in the mutants compared to wild type. In Arabidopsis, PRMT 307
genes promote flowering by mediating the epigenetic silencing of FLOWERING LOCUS C (AtFLC) 308
and by affecting pre-mRNA splicing (Deng et al., 2010; Schmitz et al., 2008). A putative target of 309
epigenetic factors and repressor of flowering, a homolog of FLC, HvODDSOC2 310
(HORVU3Hr1G095240), was downregulated in the mutants. In addition, we observed a higher 311
expression of a homolog of ARABIDOPSIS TRITHORAX-RELATED PROTEIN 6 (ATXR6) 312
(HORVU6Hr1G011950, Figure 7A), which encodes a SET-domain protein, a H3K27 313
monomethyltransferases required for chromatin structure and gene silencing (Jacob et al. 2008). 314
Among the upregulated genes were also ribosomal proteins (selected genes in Table S5) with 315
functions in inflorescence development, vascular patterning and adaxial cell fate, such as two 316
homologs of PIGGYBACK 2 (PGY2, HORVU0Hr1G006020, Figure 7B; HORVU3Hr1G001140), and 317
a homolog of PGY3 (HORVU5Hr1G092630). Further, a nucleolar GTPase NUCLEOSTEMIN-LIKE 1 318
(AtNSN1) like transcript (HORVU2Hr1G016650, Figure 7B), which plays a role in the maintenance of 319
inflorescence meristem identity and floral organ development by modulating ribosome biogenesis in 320
Arabidopsis (Wang et al., 2012; Jeon et al., 2015), was upregulated in the mutants. Furthermore, we 321
found DETs with putative roles in cytokinin response and cell cycle regulation (Table S5). For 322
example, we observed the upregulation of a barley 26S proteasome non-ATPase regulatory subunit 8 323
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homolog A (RPN12a, HORVU4Hr1G002140, Figure 7C), which regulates cytokinin responses by 324
upregulating type A ARRs, which are in turn negative regulators of cytokinin signaling (Ryu et al., 325
2009). In addition, barley homologs of type A and B RESPONSE REGULATORS (ARR2, 326
HORVU5Hr1G097560.5; ARR3, HORVU2Hr1G077000, HORVU3Hr1G108540; ARR6, 327
HORVU2Hr1G120490, Figure 7C) that act as regulators in the two-component cytokinin signaling 328
pathway were upregulated. In contrast, barley homologs of histidine kinases and putative cytokinin 329
receptors, HISTIDINE KINASE 3 and HISTIDINE KINASE 4 (AHK3, HORVU3Hr1G094870, Figure 330
7C; AHK4, HORVU6Hr1G077070) were downregulated in the mutants compared to wild-type plants. 331
Alterations in the expression of cytokinin response genes were accompanied by the upregulation in the 332
expression of genes involved in cell division. These included, for example, homologs of CELL 333
DIVISION CONTROL 6 (CDC6, HORVU3Hr1G084800, Figure 7B), PROLIFERATING CELL 334
NUCLEAR ANTIGEN 2 (PCNA2, HORVU6Hr1G088120, HORVU0Hr1G031140) and REPLICON 335
PROTEIN A2 (HORVU6Hr1G094080). A faster transition to a reproductive MSA and induction of 336
cell cycle genes coincided with the differential expression of genes involved in cellular respiration, 337
including glycolysis, pyruvate metabolism and citrate cycle (Table S5). For example, transcripts with 338
roles in glycolysis and carbohydrate metabolism were upregulated in the mutant compared to wild 339
type, i.e. CELL WALL INVERTASE 2 (HORVU2Hr1G073210, Figure 7D), a RAFFINOSE 340
SYNTHASE family protein (HORVU7Hr1G027930), and a TREHALOSE-6-PHOSPHATASE (TPS1, 341
HORVU1Hr1G013450). Further proteins with roles in glycolysis, such as a PYRUVATE KINASE 342
family protein (HORVU3Hr1G039200), three homologs of FRUCTOSE-BISPHOSPHATE 343
ALDOLASE 2 (HORVU3Hr1G002780, Figure 7D; HORVU3Hr1G088540, HORVU3Hr1G088570) 344
and three homologs of ATP-dependent 6-PHOSPHOFRUCTOKINASES (PFK2, 345
HORVU2Hr1G081670; PFK3, HORVU3Hr1G070300; PFK7, HORVU6Hr1G070270, Figure 7D) 346
were upregulated in the mutant versus wild-type plants. The upregulation of genes involved in cellular 347
respiration might be a consequence of changes in the source sink balance and a stronger energy 348
demand required for the accelerated vegetative to reproductive stage transitions in the mutant plants 349
compared to the wild type. Taken together, HvCEN had the strongest molecular effects on the MSA 350
transcriptome at spikelet initiation and these involved genes with functions in chromatin remodeling 351
activities, cytokinin and cell cycle regulation and cellular respiration independent of the photoperiod. 352
HvCEN controls floral homeotic genes under LDs 353
Spikelet initiation was advanced in the mutants under both LDs and SDs, but florets only developed 354
and set seeds under LDs, while the MSAs were aborted under SDs. To gain a better understanding of 355
the photoperiod-dependent effects of HvCEN on floret development we analysed the photoperiod-356
dependent transcripts at the stamen primordium stage (W3.5). The photoperiod specific DETs, 357
including 179 LD-specific and 83 SD-specific DETs, were enriched for transcripts with functions in 358
reproductive processes, response to stimuli and cell communication (Table S6). Among the 179 LD 359
specific DETs at W3.5, 50 DETs were upregulated and 129 DETs downregulated in the mutants 360
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compared to wild type. Among the transcripts (selected genes in table S7) that were upregulated to a 361
higher extent in the mutants compared to wild type only under LD were HvCEN 362
(HORVU2Hr1G072750, Figure 8A) and flowering promoting genes such as barley homologs of SOC1 363
(HORVU1Hr1G051660, Figure 8A), AGAMOUS-LIKE6 (AGL6, HORVU6Hr1G066140), and 364
FLOWERING PROMOTING FACTOR 1 (FPF1, HORVU2Hr1G007350, Figure 8A). In addition, we 365
observed the LD dependent upregulation of transcription factors that act in a combinatorial manner to 366
achieve floral patterning in Arabidopsis (Coen and Meyerowitz, 1991). These are designated as class 367
A, B, C and E genes and, except for the class A gene AP2, encode members of the MIKC type of 368
MADS-box transcription factors. A class A protein, AP1-like (HvBM8, HORVU2Hr1G063800, 369
FDR<0.05, Figure 8C, table S8) and a class B like gene, PISTILLATA (PI)-like 370
(HORVU1Hr1G063620, FDR<0.05, Figure 8C, table S8), were upregulated in the mutant lines under 371
LDs, but not SDs. In addition, the mutations in HvCEN caused an upregulation of five E class genes, 372
the SEP-like genes (SEP1, HORVU7Hr1G025700, HORVU5Hr1G095710, FDR<0.05, SEP2, 373
HORVU4Hr1G067680, SEP3, HORVU7Hr1G054220, HORVU5Hr1G076400, FDR<0.05) at the 374
stamen primordium stage (Table S8, Figure 8B). An ABERRANT PANICLE ORGANIZATION 375
(APO1)-like transcript (HORVU7Hr1G108970) was downregulated in the mutants compared to wild 376
type. Interestingly, the APO1 protein positively controls spikelet number by suppressing the 377
precocious conversion of inflorescence meristems to spikelet meristems in rice (Ikeda et al. 2007). In 378
addition, barley homologs of a SWEET sucrose transporter (HORVU5Hr1G076770, Figure 8C), of a 379
GLYCOGEN SYNTHASE (HORVU2Hr1G106410) and a TREHALOSE-6-PHOSPHATE 380
PHOSPHATASE (HORVU6Hr1G074960) were upregulated specifically at W3.5 in the mutants 381
compared to the wild type. Likewise, a barley homolog of a SHAGGY-related kinase 382
(HORVU3Hr1G034440) required for the establishment of tissue patterning and cell fate determination 383
and a KNOTTED1-like homeobox gene (HORVU7Hr1G114650) involved in meristem differentiation 384
were upregulated in the mutants at W3.5 under LDs. 385
Under SD, 83 DETs were detected at W3.5, 58 among them were downregulated and 25 upregulated 386
in the mutants compared to wild type. Among the upregulated genes (selected genes in Table S7), we 387
identified a number of stress related genes involved in detoxification such as a stress responsive A/B 388
Barrel Domain protein (HORVU0Hr1G011450, Figure 8D) and a homolog of ACYL-COA-BINDING 389
PROTEIN 6 (AtACBP6, HORVU7Hr1G008320, Figure 8D). Furthermore, we recorded the mutant 390
specific upregulation of transcripts with roles in cellular transport, such as a homolog of CYCLIC 391
NUCLEOTIDE-GATED ION CHANNEL2 (AtCNGC2, HORVU5Hr1G096440, Figure 8D), building 392
nonselective cation channels and of PLASMA MEMBERANE INTRINSIC PROTEIN 3 (AtPIP3, 393
HORVU5Hr1G125600) forming water channels (Figure 8C). Finally, proteins with roles in starch and 394
sugar metabolism, such as a TREHALOSE-6-PHOSPHATE PHOSPHATASE (TPPH, 395
HORVU5Hr1G058300), a SUCROSE SYNTHASE (HORVU7Hr1G033230) and a UDP-GLUCOSE 396
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4-EPIMERASE (HORVU7Hr1G053260) showed a stronger upregulation in the wild type than the 397
mutants. 398
Taken together, the LD specific expression patterns of floral homeotic genes with putative functions in 399
inflorescence, spikelet and flower development correlated with the differential floret development of 400
mutants and wild type under LDs. Under SDs, the hvcen mutant lines were characterised by the 401
differential regulation of genes implicated in abiotic stress responses, in cellular transport, and 402
carbohydrate metabolism. 403
404
405
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Discussion 406
In the present work, we analysed induced hvcen mutants to dissect the effects of HvCEN on spike 407
development and plant architecture under different photoperiods and to identify potential molecular 408
targets of HvCEN in the MSA. Mutations in HvCEN accelerated spikelet initiation under LDs and 409
SDs while subsequent floral development required LDs. Therefore, HvCEN showed stage and 410
photoperiod-dependent effects on the development of the MSA. Previous studies have already 411
indicated that spikelet initiation occurs under LDs and SDs, while floral development requires LDs in 412
spring barley genotypes (Digel et al., 2015). Floral development, but not spikelet initiation requires the 413
expression of HvFT1 and TaFT in barley and wheat, respectively (Digel et al., 2015; Pearce et al., 414
2013). Spikelet initiation occurs in the absence of FT1 expression likely promoted by FT3, however, 415
the timing of spikelet initiation is affected by variation in FT1 expression (Digel et al., 2015; Dixon et 416
al., 2018). 417
In Arabidopsis, TFL1 acts antagonistically to the FT protein to repress floral transition and 418
development (Ruiz-García et al., 1997; Jaeger et al., 2013). In addition, rice TFL1-like proteins, RICE 419
CENTRORADIALIS (RCN), compete with the rice FT ortholog Hd3a for the binding activities of the 420
14-3-3 protein, thereby antagonizing the activities of the florigen (Kaneko-Suzuki et al., 2018). 421
Therefore, we also tested if HvCEN genetically interacts with HvFT1 and HvFT3 that affect different 422
stages of pre-anthesis development (Mulki et al., 2018; Halliwell et al., 2016; Casao et al., 2011; Yan 423
et al., 2006). While HvFT1 primarily accelerates floral development under long days (Hemming et al., 424
2008; Sasani et al., 2009), HvFT3 controls spikelet initiation under long and short days (Mulki et al., 425
2018). The double mutant hvcen hvft3 did not differ in the timing of spikelet initiation under SDs from 426
the HvCEN hvft3 line, suggesting that the repressive effect of HvCEN on the timing of spikelet 427
initiation depends on a functional HvFT3 gene. In contrast to HvFT3, HvFT1 is only expressed under 428
LDs and HvFT1 expression is crucial for floral development and flowering (Digel et al. 2015). 429
Consequently, we tested if the LD specific effect of HvCEN on floral development was dependent on 430
HvFT1 expression. For this purpose, we analysed an HvCEN hvelf3 single and hvcen hvelf3 double 431
mutant that both expressed HvFT1 under SDs to similar levels as seen under LDs. The strong delay in 432
inflorescence development and higher number of the spikelets in the HvCEN hvelf3 single mutant as 433
compared to the hvcen hvelf3 double mutant under SDs indicated that the repressive effect of HvCEN 434
on floral development depended on HvFT1 expression in the hvelf3 mutant. In addition, the interaction 435
between HvCEN and FT1 had a strong effect on the determination of spikelet primordia number. 436
However, as many light-dependent transcripts are misregulated in the hvelf3 mutant (Faure et al., 437
2012), we cannot rule out that other genes influenced the observed phenotype. Our results suggested 438
that HvCEN genetically interacted with different FT-like genes in the shoot apical meristem to control 439
different phases of inflorescence development: with HvFT3 to control spikelet initiation; and with 440
HvFT1 to control floral development. The photoperiod specific effects of HvCEN are therefore likely 441
caused by the photoperiod specific expression of its putative competitors HvFT3 and HvFT1. 442
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15
443
444
The hvcen mutants were altered in different shoot architecture traits including the number of leaves on 445
the main culm, leaf length, the number of tillers per plant and the number of seeds per spike. The 446
mutant plants developed 1-2 fewer leaves on the main culm under long and short-day conditions, 447
possibly as a consequence of the earlier transition from a vegetative to a reproductive meristem. Since 448
AXMs initiate in the leaf axils a reduction in the number of leaves may have been causal for the 449
reduction in tiller number observed in the mutant lines. In addition, the leaves in the hvcen mutants 450
were shorter indicating that leaf size is controlled by HvCEN-dependent progression of plant 451
development. It was already demonstrated before that flowering time genes may affect leaf size in 452
barley by affecting the duration of leaf growth and consequent variation in leaf cell number (Digel et 453
al. 2016). The earlier termination of leaf growth in the hvcen mutants was matched by an earlier 454
termination of spikelet induction. However, the barley hvcen mutants did not form a terminal spikelet 455
as has been described for the Arabidopsis tfl1 mutant. (Shannon and Ry Meeks-Wagner, 1991). 456
Nevertheless, the mutation in hvcen reduced the period of spikelet primordia initiation and thereby 457
decreased the number of spikelets on the MSA. The wild type reached the maximal number of 458
spikelets at awn primordium stage as observed in previous studies (Kirby and Appleyard, 1987; 459
Alqudah and Schnurbusch, 2014; Riggs and Kirby, 1978; Kernich et al., 1997; Waddington et al., 460
1983), while the hvcen (mat-c) mutants stopped making further spikelets at the pistil primordium stage 461
under inductive LD conditions. It has already been shown before that variation in the developmental 462
timing of the early reproductive phase has strong effects on the number of spikelet primordia on the 463
MSA (Digel et al., 2015; Ejaz and von Korff, 2017; Campoli and von Korff, 2014). For instance, in 464
the presence of a wild-type PPD-H1 allele the development of the MSA is accelerated and this is 465
associated with a reduction in number of spikelet primordia and final grain number per main spike 466
(Digel et al., 2015). In wheat, Alvarez et al. (2016) observed an acceleration of flowering time and an 467
associated reduction in spikelet number in an elf3 mutant. Both, PPD-H1 and HvELF3 likely affect 468
developmental timing and spikelet number by inducing or repressing HvFT1, respectively. Taken 469
together, the pleiotropic phenotypes of the hvcen mutants suggested that changes in the 470
HvFT1/HvCEN ratios may control meristematic activity or its termination in different meristems of 471
the barley shoot as has been proposed for tomato (Lifschitz et al., 2014; Krieger et al., 2010; Park et al., 472
2014; Jiang et al., 2013). However, the molecular basis for these coordinated effects on meristems 473
remain poorly understood. 474
In Arabidopsis, TFL1 mRNA is expressed in young axillary meristems but later becomes restricted to 475
the central inflorescence meristem (Conti and Bradley, 2007; Wigge et al., 2005; Shannon and Ry 476
Meeks-Wagner, 1991; Bradley et al., 1997). By contrast, HvCEN mRNA signals were detected 477
primarily in the AXMs and expression levels were low in the shoot apex despite the strong effect of 478
mutations in HvCEN on developmental timing and spike morphology, i.e. the number of spikelets and 479
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16
seeds per spike. Similarly, expression of the HvCEN homologs RCN1-4 in rice was not detected in the 480
SAM, but in the vasculature of the subtending stem and young primordia and leaf blade (Kaneko-481
Suzuki et al., 2018). However, the authors could demonstrate that the RCN protein is transported 482
through the phloem to the inflorescence meristem where it controls phase transition and inflorescence 483
determinacy. Consequently, HvCEN protein might also travel to the inflorescence meristem where it 484
acts on spike development. Accordingly, the largest number of differentially transcribed genes was 485
detected at the spikelet initiation stage when the SAM switches from vegetative to reproductive 486
growth. This acceleration of spikelet initiation in the hvcen mutants under LDs and SDs coincided 487
with the differential regulation of transcripts associated with chromatin modifications. Epigenetic 488
genes putatively upstream of floral regulators included, for example, MSI1, which is part of the 489
evolutionarily conserved Polycomb group (PcG) chromatin-remodeling complex and controls spatial 490
and temporal expression of several homeotic genes that regulate plant development and organ identity 491
(Steinbach and Hennig, 2014; Derkacheva et al., 2013; Chanvivattana, 2004; Hennig et al., 2005). 492
Similarly PRMT-like genes were upregulated in the mutants and these control the epigenetic silencing 493
of the floral repressor FLC and flowering time in Arabidopsis (Niu et al., 2007; Schmitz et al., 2008; 494
Wang et al., 2007; Pei et al., 2007). The upregulation of PRMT-like genes was correlated with a 495
downregulation of a putative repressor of flowering and homolog of FLC, HvODDSOC2, suggesting 496
that its expression might also be controlled epigenetically. Further, we recorded a strong upregulation 497
of Trithorax like proteins that act as H3K27 methyltransferases required for transcriptional repression 498
in Arabidopsis (Jacob et al., 2009). HvCEN dependent regulation of epigenetic regulators in the MSA 499
of barley specifically at spikelet initiation suggested that the transition from vegetative to reproductive 500
meristem requires strong reprogramming of transcriptional networks by epigenetic modifiers. These 501
modifiers and their role for developmental transitions in barley await further functional 502
characterisation. 503
Further, we observed the upregulation of genes involved in cell cycle regulation, cytokinin signalling 504
and response and many ribosomal proteins that are thought to control cellular growth (Bhavsar et al., 505
2010; Naora and Naora, 1999; Schaller et al., 2014). The upregulation of ribosomal proteins in the 506
mutants was specific for the spikelet initiation stage suggesting that the transition from a vegetative to 507
a reproductive meristem requires a strong increase in translational efficiency and de novo protein 508
synthesis. However, several of the ribosomal proteins upregulated in the mutants may have more 509
specific effects on organ development as these are also described as important regulators of leaf and 510
inflorescence development, vascular patterning and phase change, such as RPS13-like and PGY-like 511
genes (Pinon et al., 2008; Ito et al., 2000). Spikelet initiation also coincided with the upregulation of 512
genes involved in carbon metabolism, glycolysis, cellular respiration and tricarboxylic acid cycle. 513
These transcripts may be important to prepare the plant for the subsequent fast inflorescence growth 514
and increased energy demand. Ghiglione et al. (2008) have demonstrated that fast growing wheat 515
inflorescences show strongly reduced soluble carbohydrate levels as compared to slowly developing 516
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17
spikes and suggested that these fast growing tissues suffer from carbohydrate starvation. Consequently, 517
the upregulation of cellular respiration genes was possibly important to allow for a higher energy 518
supply to the developing organs in the fast growing mutants. 519
In contrast to spikelet initiation, floral development was photoperiod dependent and the majority of 520
transcripts in the MSA were regulated by HvCEN only under LDs. In particular, floral homeotic genes 521
were primarily regulated under LD conditions by HvCEN and these included homologs of floral 522
patterning transcription factors designated as class A, B, and C genes (for review, see Theißen, 2001). 523
The mutations in HvCEN caused an upregulation of five E class, SEP-like, genes, a class B gene (PI, 524
OsMADS4) and one AP1-like gene (HvBM8) at the stamen primordium stage. In rice, the SEP-like 525
gene OsMADS34 (PANICLE PHYTOMER2) is important for controlling inflorescence and spikelet 526
development (Gao et al., 2010; Kobayashi et al., 2010), while the other SEP-like genes OsMADS1, 527
OsMADS5, OsMADS7, OsMADS8 , and OsMADS34 control the development of different floral 528
organs (Malcomber and Kellogg, 2005; Zahn et al., 2005; Arora et al., 2007). Interestingly, the barley 529
homolog of OSMADS34 was regulated by HvCEN under both photoperiods, while the other SEP-like 530
genes were controlled by HvCEN only under LDs. This suggested that genes important for floral 531
development but not those involved in spikelet initiation were LD dependent. The repression of these 532
genes by HvCEN is not only essential to delay floral development but also to prolong leaf initiation 533
and leaf maturation probably as a strategy to match vegetative and reproductive development of the 534
plant. 535
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Material and methods 536
Germplasms of hvcen (praematurum-c, mat-c), hvelf3 hvcen and hvft3 hvcen double mutants 537
All mutants and parental lines were obtained from the Nordic Gene Bank (NordGen; 538
http://www.nordgen.org/). The 21 allelic hvcen mutants were originally generated using different 539
mutagens in various barley spring cultivars (wild-type parents): Bonus, Foma, Frida, Kristina and 540
Semira (Matyszczak, 2014; Comadran et al., 2012; Franckowiak and Lundqvist, 2012; Table S1, 541
Figure S2). The different mutants were characterised by distinct changes in the gene body including 542
premature stop codons, changes in splice sites, amino acid replacement, frameshift and whole gene 543
deletions (Comadran et al. 2012). The mutation in mat-c.770 introduced a stop codon, resulting in a 544
truncated protein. Mutations in mat-c.94, mat-c.1111 and mat-c.1114 caused splice site changes. 545
Amino-acid substitution at conserved sites were detected in mat-c.32, mat-c.770, mat-c.907, mat-c.943, 546
mat-c.913, mat-c.93, mat-c.400 and mat-c.1115 (Table S2). The mat-c.1109 genotype carries a 1-bp 547
deletion that resulted in a frame shift. Sanger Sequencing of HvCEN in mat-c.1118 revealed a 12-bp 548
deletion (GATGCAAACAAT) including 2-bp from the end of the 4th exon and 10-bp from the UTR 549
region (10-bp) leading to a larger protein consisting of 229 instead of 173 amino acids (Figure S2). 550
The mat-c.16, mat-c.19, mat-c.1096, mat-c.1107, mat-c.1102, mat-c.1108, mat-c.1120 mutants are 551
putative deletion mutants as HvCEN could not be amplified in these genotypes. In addition, we 552
analysed two backcross derived introgression lines BW508, with an introgression of mat-c.19 and 553
BW507 with an introgression of mat-b.7 in the background of Bowman (Druka et al., 2011). BW507 554
likely contains a large deletion of HvCEN since no amplicons of this gene were found (Matyszczak, 555
2014). The effect of a single amino acid substitution in the point mutants were evaluated by 556
PROVEAN (Protein Variation Effect Analyzer, http://provean.jcvi.org) that computationally predicts 557
the influence of alternations in amino acids on the biological function of the protein (Table S2). The 558
program assesses the functional effects of protein variation using an alignment-based score (PROVEN 559
score) that measures the change in sequence similarity between a query sequence and its variants to a 560
homologous protein sequence (Choi et al. 2012). 561
To determine if HvCEN interacts with HvFT1 and HvFT3 genetically, we produced hvelf3 hvcen 562
(with HvFT1 expression under SDs) and hvft3 hvcen double mutants. The hvelf3 hvcen double mutants 563
were derived from the cross of the hvcen mutant in Bonus (mat-c.907) with the hvelf3 mutant in Bonus 564
(mat-a.8, NGB110008). Three F2 progenies verified as homozygous hvelf3 hvcen double and two as 565
hvelf3 HvCEN single mutants were propagated, respectively. F4 plants from these selected five lines 566
were grown and dissected in a controlled climate chamber under SD conditions (8h/16h, light/dark, 567
20°C/18°C). 568
To obtain hvft3 hvcen double mutants, the hvcen mutant (mat-c.907) in the Bonus background was 569
crossed to an introgressed line carrying a natural mutation in hvft3 in the background of Golden 570
Promise. This introgression line was an F3 progeny derived from crosses between the winter barley 571
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19
Igri and the spring cultivar Golden Promise. Specifically, the introgression line carried a non-572
functional hvft3 allele from Igri and the natural mutation at Ppd-H1, a deletion in the first regulatory 573
intron of VRN1 and a deletion of the VRN2 locus from Golden Promise. This introgression line shows 574
a reduced photoperiod response and does not require vernalization. By genotyping, three F2 lines 575
carrying homozygous hvft3 hvcen double mutations and two hvft3 HvCEN progenies were identified 576
and propagated. 577
Plant growth conditions and phenotyping in outdoor condition and climate chambers 578
We evaluated all mutants and their parental lines (Table S1) under outdoor conditions over two 579
consecutive years for the number of tillers and spikelets per main spike, plant height and flowering 580
time. Flowering time was scored as the time from sowing to heading, when the awns emerge from the 581
flag leaf of the main culm. Tiller number was recorded at heading, while the number of grains per 582
main spike and plant height (soil to base of topmost spike) were measured at full maturity, two weeks 583
before harvest. The numbers of mat-c mutants and wild-type plants grown in each year are indicated in 584
table S1. 585
In parallel, we conducted phenotyping in environment-controlled growth chambers using selected 586
hvcen mutants. Specifically, three hvcen mutants in the Bonus background (mat-c.907, mat-c.94 and 587
mat-c.943) and Bonus were grown in 96-well trays using “Mini Tray” (Einheitserde®) soil. To 588
synchronize germination, the trays were stratified in dark at 4°C for three days followed by growth 589
under LDs (16h, 22°C day; 8h, 18°C night) or SDs (8h, 22°C day; 16h, 18°C night). The 590
developmental stage of the MSA was determined using the Waddington quantitative scale of shoot 591
apex development that is based on the progression of spike initiation and then the most advanced floret 592
primordium and pistil of the inflorescence (Waddington et al., 1983). Five to six individual plants for 593
each focal accession were scored for their MSA development every 3 days and the number of spikelet 594
primordia per main spike, the number of axillary buds and leaf primordia number were scored during 595
the dissection. The axillary buds scored include all the axillary buds, primary, secondary and higher 596
order buds. Each leaf were dissected to see the axillary bud under the leaf sheath. Leaf size and visible 597
leaf number on the main culm were scored in 20-well trays as described by Digel et.al (2016). 598
The hvelf3 hvcen, the hvft3 hvcen double mutants and their control or parental lines were scored for 599
differences in pre-anthesis development, number of spikelet primordia per main spike and number of 600
axillary buds including all the axillary buds, primary, secondary and higher order buds by dissecting 601
the lines every two/four days (hvelf3 hvcen) or weekly (hvft3 hvcen) in 96-well trays under SDs. 602
Statistical analysis 603
We conducted a one-way ANOVA followed by a posthoc Tukey HSD test to test for differences in 604
flowering time, plant height, tiller number and number of seeds per main spike of the mutants 605
compared to their respective parental lines. In addition, we conducted a one-way ANOVA to compare 606
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HvFT3 expression in HvCEN wild-type and hvcen mutant backgrounds. In the dissection experiments 607
differences between the parental lines, the mutant and double mutant lines were revealed by 608
calculating a polynomial regression model at a 95% confidence interval (Loess smooth line). 609
RNA isolation and sample preparation for RNA sequencing 610
Total mRNA was isolated from plants grown under LDs and SDs. MSA enriched tissues were 611
harvested and pooled for three distinct developmental stages, the vegetative stage (W1.0), the spikelet 612
initiation stage (W2.0) and the anther primordium stage (W3.5) (Waddington et al., 1983). The 613
samples were harvested 2 hours before dark under both LD and SD conditions. To enrich shoot apex 614
specific mRNA, leaves surrounding the MSA were removed manually using a microsurgical stab knife 615
(5-mm blade at 15° [SSC#72-1551]). The enriched MSA tissue was cut from the base of the MSA and 616
still included leaf primordia. At least 10 MSAs were pooled for each of the three biological replicates 617
per time point. All samples harvested for RNA extraction were frozen immediately in liquid nitrogen 618
and stored at -80°C. Total mRNA was extracted using TRIzol reagent (Invitrogen, Carlsbad, CA, USA) 619
and further purified using an RNA easy Micro Kit (Qiagen). The residual DNA was removed using a 620
DNA-free kit (Ambion) and the quality of the RNA was assessed using a bioanalyzer (Agilent 2100 621
Bioanalyzer). The Illumina cDNA libraries were prepared according to the TruSeq RNA sample 622
preparation (version 2; Illumina). A cBot (Illumina) was used for clonal sequence amplification, and 623
generation of sequence clusters. Single-end sequencing was performed using a HiSeq 3000 (Illumina) 624
platform by multiplexing 8 libraries resulting in ~18 million reads per library. The requested single 625
end read length was 100 bp for LD samples and 150bp for SD samples. The initial quality control of 626
the raw reads was performed using the FastQC software (version0.10.1; 627
http://www.bioinformatics.bbsrc.ac.uk/projects/fastqc/). 628
Transcriptome profiling and variant calling 629
The obtained RNA sequencing reads were mapped to a barley High Confidence (HC) transcripts 630
reference (Mascher et al., 2017) using Salmon in quasi-mapping-based mode. When building the 631
quasi-mapping-based index, an auxiliary k-mer hash over k-mers of length 31 was used. U (unstranded 632
single end read) was chosen as library type to quantify the reads of each library. The expected number 633
of reads (NumReads) that have originated from each transcript given the structure of the uniquely 634
mapped and multi-mapped reads and the relative abundance estimates for each transcript and 635
transcripts Per Million (TPM) values were extracted using Salmon (Patro et al., 2015). Transcripts 636
with expression levels greater than 5 NumReads in at least two libraries under LDs or SDs were 637
retained. Tables with expected NumReads (raw counts) and expression levels (normalized counts per 638
million, cpm) are provided in a supplementary table (Table S10). 639
To identify differentially expressed transcripts (DETs), pairwise comparisons, including mat-c.907 vs. 640
Bonus, mat-c.943 vs. Bonus at each stage and photoperiod condition were done using the R 641
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21
bioconductor package Limma-vroom with a Benjamin & Hochberg adjustment for multiple testing 642
(false discovery rate, FDR) (Ritchie et al., 2015). The comparisons between the stages and between the 643
photoperiods were not conducted to avoid false positive DETs due to differences in the sample types 644
and potential effects of diurnal gene expression differences between photoperiods. The FDR value of 645
0.01 was used as initial cut-off value for the selection of DETs. In the end, the DETs were extracted 646
per mutant per developmental stage per photoperiod. To minimize the background mutation effects in 647
the two hvcen mutants, we focused on the DETs regulated in both mutants compared with wildtype. 648
To visualize the number of genotype or stage or photoperiod dependent DETs, venn diagrams were 649
drawn using the R package VennDiagram (Chen and Boutros, 2011). The DETs that were observed in 650
both mutants were considered as candidate DETs regulated by HvCEN under each condition. Totally, 651
4527 DETs regulated in the two hvcen mutant at least at one stage compared to wildtype under LDs or 652
SDs were obtained. We then examined the expression patterns using hierarchical cluster analysis 653
(using Pearson correlation coefficients) and principle component analysis (PCA) of the DETs with R. 654
To determine which gene categories were enriched under each treatment, we first produced de novo 655
Gene Ontology (GO) annotations for High Confidence (HC) transcripts using Blast2Go local blast (e 656
value cut-off 1 X 10-5) (Conesa et al., 2005). To assess the effect of HvCEN on biological process, the 657
overrepresentation analysis of particular GO terms was performed based on the Fisher's Exact Test 658
(significant cut-off 0.05) using TopGo package in R (Alexa, 2018). The redundant go categories were 659
removed by first filtering annotated >=5 and allowing similarity as 0.5 (Supek et al., 2011). Then the 660
representative go categories were retained by keeping the enriched transcripts number >= 10 and >=5 661
at W2.0 and W3.5, respectively. 662
Variant calling to verify the HvCEN mutation in mat-c.907 and mat-c.943 and evaluate the number of 663
mutated transcripts in the RNA sequencing reads was done as described in van Esse et al. (2017). 664
Briefly, RNA sequencing reads were mapped to a barley High Confidence (HC) CDS reference 665
(Mascher et al., 2017) using BWA-MEM (version 0.7.15;(Li, 2013)), allowing a mismatch penalty of 666
3. Mapping was evaluated using PicardTools (version 1.1.00; http://picard.sourceforge.net) 667
CollectAlignmentSummaryMetrics and SAMtools (version 1.1.3; (Li et al., 2009)) was used to 668
determine the number of reads mapped with good mapping quality scores (MAPQ > 1). Read 669
duplicate removal and indel realingment were done using PicardTools MarkDuplicates and GATK 670
IndelRealigner (version 3.1-1; (McKenna et al., 2010)), respectively. Variant calling was done with 671
GATK UnifiedGenotyper using 30.0 as a minimum confidence threshold and 10.0 for emitting of 672
called SNPs and 1 for ploidy. Filtered variants with a depth of coverage >= 100, a quality of the 673
assigned genotype >= 98 and a value of Phred-scaled likelihood >= 2000 were taken into 674
consideration. Mutation types include SNP and INDEL. The number of mutations and number of 675
mutated transcripts were summarized in Table S3. 676
Gene expression using qRT-PCR and RNA in situ hybridization 677
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RNA was isolated from leaf tissues harvested from plants grown under LD and SD conditions. Under 678
LD condition, the second youngest leaf on the main shoot of Bonus (HvCEN HvELF3) and mat-c.907 679
(hvcen HvELF3) at W3.5 was harvested at two hours before dark. Under SD condition, the second 680
youngest leaf of three hvcen hvelf3, two HvCEN hvelf3, mat-a.8 (HvCEN hvelf3 -3), mat-c.907 and 681
Bonus were harvested at seven hours after the beginning of the dark period at the four- to five-leaf 682
stage. Total RNA extraction, first-strand cDNA synthesis and quantitative real-time polymerase chain 683
reaction (qRT-PCR) were performed as described in Campoli et al. (2012). The primer for HvFT1 684
expression is listed in table S9. Two technical replicates were used for each cDNA sample and starting 685
amounts for each data point were calculated based on the titration curve for each target gene and the 686
reference (HvActin) gene using the LightCycler 480 Software (Roche; version 1.5). 687
The expression of HvCEN (HORVU2Hr1G072750.4) was detected using RNA in situ hybridization on 688
SAMs of Waddington stages W2, and W3.5 as described in Kirschner et al. (2018). The probes were 689
prepared using the whole gene sequences followed by carbonate hydrolysis to ca. 200 bp fragments. 690
The anti-sense probe was used for detecting HvCEN expression and the sense probe was used for the 691
negative control. 692
Images were taken using a plan-neofluar 10x objective with a NA of 0.30 using the Zeiss Axioskop 693
light microscope, and image processing, i.e. stitching, was performed with the Stitching Plugin in Fiji 694
(Preibisch et al., 2009, Schindelin et al., 2012). 695
Data availability: Illumina data in the European Short Read Archive: E-MTAB-7807 696
697
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23
Figure legends 698
Figure 1. Phenotypes of hvcen (mat-c) mutants trialled under outdoor conditions over two 699
consecutive years. Mutants in six different genetic backgrounds are shown next to their respective 700
parental lines (Table S1). Various traits including A) flowering time, B) grain number per main spike, 701
C) number of tillers at flowering time, and D) plant height were measured over two years. Flowering 702
time was scored as time from sowing to heading when the awn of the main spike emerged from the 703
flag leaf. The line within each box denotes the median. Significant differences between the mutants 704
and their wild-type parents were calculated by a one-way ANOVA using a Tukey HSD as post hoc 705
test, p<0.001 “***”, P<0.01 “**”, P<0.05 “*”, not significant: “ns”. 706
Figure 2. Representative shoot apices of the hvcen mutant and the wildtype scored under A) LD 707
and B) SD conditions. Under SDs, the MSA did not develop beyond the stages W3.5 and W4.5 in the 708
mutant and Bonus, respectively. DAG: days after germination; W: Waddington stage; white bar: 1mm. 709
Figure 3. Phenotyping of three hvcen mutants (mat-c.907, mat-c.94, mat-c.943) and the wildtype 710
Bonus under controlled LD and SD conditions. Development of the main shoot apex (MSA), 711
number of spikelet primordia and of axillary buds at different Waddington stages under LDs (A, C, E) 712
and SDs (B, D, F). The number of spikelet primordia is referring to the number of primordia per main 713
spike. The axillary buds scored include all the axillary buds, primary, secondary and higher order buds. 714
Five or six plants per genotype were dissected at each time point under LDs (16 h light/8 h night) and 715
SDs (8h/16h, light/dark). Statistical differences (P<0.05) were calculated using a polynomial 716
regression model at 95% confidence interval (Loess smooth line) shown in grey-shaded regions. 717
Figure 4. Microscopic phenotypes of double and single hvft3 x hvcen (mat-c.907) and hvelf3 x 718
hvcen (mat-c.907) mutants in Bonus under SDs. Development of the MSA, number of spikelet 719
primordia and number of axillary buds in HvFT3 or hvft3 background (A, B, C) and HvELF3 or hvelf3 720
background (C, D, E) at different Waddington stages under SDs (8h/16h, light/dark). The number of 721
spikelet primordia is referring to the number of primordia per main spike. The axillary buds scored 722
include all the axillary buds, primary, secondary and higher order buds. Three to six plants per 723
genotype were dissected at each time point. Statistical differences (P<0.05) were calculated using a 724
polynomial regression model at 95% confidence interval (Loess smooth line) ) shown in grey-shaded 725
regions. 726
Figure 5. Expression pattern of HvCEN under LDs. A, B) RNA in situ hybridization using the anti-727
sense probe C, D) negative controls using the sense probe of HvCEN in the shoot apex of cv. Bowman 728
at Waddington stages 2.0 and 3.5; E) expression of HvCEN in the pure inflorescence meristem of cv. 729
Bonus. Pure meristems were obtained by carefully removing leaf primordia and stem tissue beneath 730
the inflorescence under the microscope. LDs: long day condition (16h/8h light/dark), W: Waddington 731
stage. 732
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24
733
Figure 6. DETs regulated between two hvcen mutants (mat-c.907 and mat-c.943) and wildtype 734
(Bonus) in at least one photoperiod condition (LD/SDs) and co-expression patterns of the DETs. 735
A) Number of DETs regulated in both mutants (mat-c.907 and mat-c.943) compared to WT (Bonus) 736
under LDs and/or SDs. The red circles display DETs detected under LDs and blue circles show DETs 737
detected under SDs. 738
B) Heatmap of co-expression clusters for 4527 DETs. Colors represent log2-fold changes (log2-FC) in 739
expression levels relative to the mean transcript abundance across the tested conditions, i.e., apex 740
(enriched) samples of mat-c.907, mat-c.943 and Bonus grown under LD and SD conditions and 741
harvested at different developmental stages (W1.0, W2.0, W3.5). LDs: long day condition (16h/8h, 742
light/dark), SDs: short day condition (8h/16h, light/dark), W: Waddington stage, DETs: differentially 743
expressed transcripts. Transcripts with FDR<0.01 were considered as DETs. 744
Figure 7. Expression profiles of selected DETs between the hvcen mutants (mat-c.907, mat-c.943) 745
and wildtype (Bonus) at W2.0 related to A) chromatin modification, regulation of development and 746
organ initiation; B) ribosomal proteins, leaf development, leaf patterning; C) regulation of hormone 747
level and hormone response D) cellular respiration, sink strength, carbohydrate metabolism, glycolytic 748
processes under both LDs and SDs. LDs and SDs are shown by white and grey colors. LDs: long day 749
condition (16h/8h, light/dark), SDs: short day condition (8h/16h, light/dark), white: light period (16h), 750
grey: dark period (8h), W: Waddington stage, cpm: normalized counts per million, DETs: differential 751
expressed transcripts, error bars: standard deviation. Transcripts with FDR<0.01 were considered as 752
DETs. 753
Figure 8. Expression profiles of selected DETs between the hvcen mutants (mat-c.907, mat-c.943) 754
and wildtype (Bonus) at W3.5 under both LDs and SDs. LDs and SDs are shown by white and grey 755
colors. LDs: long day conditions (16h/8h, light/dark), SDs: short day conditions (8h/16h, light/dark), 756
white: light period (16h), gray: dark period (8h), W: Waddington stage, cpm: normalized counts per 757
million, DETs: differential expressed transcripts, error bars: standard deviation. 758
759
Supplemental Material 760
Figure S1. Seed parameters of hvcen (mat-c) mutants trialled under outdoor condition. A) Seed 761
length, B) seed width, C) seed area and D) thousand kernel weight (TKW) in field conditions in one 762
year, 5 plants per genotype and 5 representative spikes per plant were analysed. The line within each 763
box denotes the median. Significant differences between the mutants and their wild-type parents were 764
calculated by a one-way ANOVA using a Tukey HSD as post hoc test, p<0.001 “***”, P<0.01 “**”, 765
P<0.05 “*”, not significant: “ns”. 766
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25
Figure S2. The mutation sites of the 14 mat-c mutants on the schematic structure of the HvCEN gene. 767
The positions of the 11 mutant alleles, including mat-c.32, mat-c.400, mat-c.770, mat-c.907, mat-c.913, 768
mat-c.93, mat-c.94, mat-c.943, mat-c.1109, mat-c.1114 and mat-c.1115, were obtained from 769
Comadran et al. (2012). The positions of mat-c.745 and mat-c.1111 and were described in Matyszczak, 770
2014. Sequencing of HvCEN in mat-c.1118 identified a 12-bp deletion which translated into a protein 771
containing 229 instead of 173 amino acids. Stop indicates introduction of a stop codon; 1-bp and 12-772
bp deletions are represented by “:”; splice site means a single nucleotide polymorphism affecting an 773
intron-exon splice junction. 774
Figure S3. Determinate spike with a terminal spikelet in wheat (Chinese Spring) and indeterminate 775
spike without terminal spikelet in barley (mat-c.907 and Bonus). 776
Figure S4. Leaf length and number of leaves on main culm of hvcen mutants (mat-c.907, mat-777
c.94, mat-c.943) and Bonus under LDs and SDs. A-B) Width of leaves on the main culm of hvcen 778
mutants (mat-c.907, mat-c.94, mat-c.943) and Bonus under LDs and SDs; C) number of visible leaves 779
on the main culm at different Waddington stages of hvcen mutants (mat-c.907, mat-c.943) and Bonus 780
under LDs and SDs. LDs (16h/8h light/dark), SDs (8h/16h, light/dark). The line within each box 781
denotes the median. 782
Figure S5. HvFT3 expression in leaves of Bonus, mat-c.907 and mat-c.943 at W2.0 and W3.5 under 783
SDs. Letters indicate significant differences (p≤ 0.05), determined with a one-way ANOVA using a 784
Tukey HSD as post hoc test. Significant differences between the lines are calculated for each 785
developmental stage separately. W: Waddington stage, SDs: (8h/16h, light/dark). The line within each 786
box denotes the median. 787
Figure S6. HvFT1 expression in leaves. hvelf3 hvcen-1,2,3 and hvelf3 HvCEN-1,2 are progenies of 788
lines selected from the cross (mat-c.907 x mat-a.8); hvelf3 HvCEN-3 is mat-a.8; HvELF3 hvcen is 789
mat-c.907; HvELF3 HvCEN is Bonus. LD: long day (16h/8h, light/dark), SD: (8h/16h, dark/light). The 790
line within each box denotes the median. 791
Figure S7. Expression pattern of HvCEN in cv. Bonus under LDs. A, B) RNA in situ hybridization 792
using anti-sense probe; C, D) negative controls using sense probe of HvCEN in the shoot apex of cv. 793
Bonus at Waddington stages 2.0 and 3.5. LD: long day (16h/8h, light/dark). 794
Figure S8. Principal component analysis (PCA) of normalized expression profiles for all 795
expressed genes under LDs and SDs. A) The first two PCs account for ∼40% of the overall variation 796
under LDs, B) the first two PCs account for 31% of the overall variation under SDs. C) PCA of the 797
4528 DETs in both mutants (mat-c.907 and mat-c.943) compared to Bonus under LDs or/and SDs, 798
FDR>0.01. LD: long day (16h/8h, light/dark), SD: short day (8h/16h, dark/light), W: Waddington 799
stage. 800
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26
Figure S9. A) DETs in each mutant (mat-c.907 or mat-c.943) compared with wildtype (Bonus) under 801
each photoperiod (LDs, SDs) at W1.0, W2.0 and W3.5; B) DETs (FDR<0.01) were found in both 802
mutants at W1.0, W2.0 and W3.5 under both LDs and SDs. LD: long day (16h/8h, light/dark), SD: 803
short day (8h/16h, light/dark), W: Waddington stage. 804
Figure S1. Seed parameters of hvcen (mat-c) mutants trialled under outdoor condition. 805
Figure S2. The mutation sites of the 14 mat-c mutants on the schematic structure of the HvCEN gene. 806
Figure S3. Determinate spike with a terminal spikelet in wheat and indeterminate spike without 807
terminal spikelet in barley. 808
Figure S4. Leaf length and number of leaves on main culm of hvcen mutants (mat-c.907, mat-c.94, 809
mat-c.943) and Bonus under LDs and SDs. 810
Figure S5. HvFT3 expression in leaves of Bonus, mat-c.907 and mat-c.943 at W2.0 and W3.5 under 811
SDs. 812
Figure S6. HvFT1 expression in leaves. 813
Figure S7. Expression pattern of HvCEN in cv. Bonus under LDs. 814
Figure S8. Principal component analysis (PCA) of normalized expression profiles for all expressed 815
genes under LDs and SDs. 816
Figure S9. DETs in each mutant compared with wildtype under each photoperiod 817
Table S1. mat-c (hvcen) mutants carrying different type of mutations in HvCEN 818
Table S2. Effects of amino acid substitutions in the mat-c (hvcen) mutants 819
Table S3. Number of transcripts mutated in the two mutants compared to wild type 820
Table S4. Go enrichment analysis of photoperiod independent DETs at W2.0 821
Table S5. Selected* transcripts differentially regulated in the mutant MSA at W2.0 under LDs and 822
SDs (FDR<0.01) 823
Table S6. Go enrichment analysis of photoperiodic specific DETs (FDR<0.01) at W3.5 824
Table S7. Selected photoperiodic independent/dependent DETs at W3.5 (FDR<0.01) 825
Table S8. Selected* DETs involved in floral development and identity at W3.5 at less stringent cut-off 826
(FDR<0.05) 827
Table S9. Primers used in qRT-PCR and genotyping 828
Table S10. Normalized expression value (cpm), log2FC, FDR and annotation of all expressed 829
transcripts 830
831
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832
Acknowledgments 833
We cordially thank Kerstin Luxa, Caren Dawidson, Thea Rütjes, Andrea Lossow for excellent 834
technical assistance and Artem Pankin for uploading the raw sequencing data to the European 835
Nucleotide Archive. 836
Competing Interests 837
The authors do not have any financial, personal or professional interests that have influenced 838
this present paper. 839
840
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841
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*** *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** ***
60
70
80
90B
onus
c.16
c.19
c.32
c.77
0c.
907
c.91
3c.
93c.
94c.
943
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man
BW
507
BW
508
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ac.
400
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ac.
1096
c.11
07c.
1108
c.11
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tina
c.74
5S
emira
c.11
02c.
1118
c.11
20Day
s fr
om s
owin
g to
flow
erin
gA
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●
●●
●
●
●
●
●●
●
●
*** *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** ***
10
20
30
Bon
usc.
16c.
19c.
32c.
770
c.90
7c.
913
c.93
c.94
c.94
3B
owm
anB
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7B
W50
8Fo
ma
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0Fr
ida
c.10
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1109
c.11
11c.
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c.11
15K
ristin
ac.
745
Sem
irac.
1102
c.11
18c.
1120
Num
ber o
f gra
ins
per s
pike
B
●
●
●
●
● ●
●
●
●
●
●
*** *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** ***
***
* * **ns ns
50
100
Bon
usc.
16c.
19c.
32c.
770
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913
c.93
c.94
c.94
3B
oman
BW
507
BW
508
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ac.
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tina
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emira
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20
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ers
C
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ns* ns ns *** *** *** *** *** *** *** *** *** ***ns ns ns ns ns ns ns ***
60
80
100
120
Bon
usc.
16c.
19c.
32c.
770
c.90
7c.
913
c.93
c.94
c.94
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owm
anB
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ma
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ida
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ristin
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Plan
t hei
ght(c
m)
D
Figure 1. Phenotypes of hvcen (mat-c) mutants trialled under outdoor conditions over two
consecutive years. Mutants in six different genetic backgrounds are shown next to their respective
parental lines (Table S1). Various traits including A) flowering time, B) grain number per main spike,
C) number of tillers at flowering time, and D) plant height were measured over two years. Flowering
time was scored as time from sowing to heading when the awn of the main spike emerged from the flag
leaf. The line within each box denotes the median. Significant differences between the mutants and their
wild-type parents were calculated by a one-way ANOVA using a Tukey HSD as post hoc test, p<0.001
“***”, P<0.01 “**”, P<0.05 “*”, not significant: “ns”.
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BonusLDs
c.907LDs
W1.0 W1.5 W3.5 W5.5 W6.5 W9.5
W1.0 W2.0 W5.5 W9.5
c.907SDs
W1.0 W1.5 W2.0 W2.25 W3.5 W4.5
DAG 6 12 24 39 42 54
BonusSDs
W1.0 W1.5 W1.75 W2.0 W2.5 W3.5
DAG 9 15 21 27 33 45
A
B
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c.907
c.94
c.943
Bonus
Figure 3. Phenotyping of three hvcen mutants (mat-c.907, mat-c.94, mat-c.943) and the wildtype
Bonus under controlled LD and SD conditions. Development of the main shoot apex (MSA), number
of spikelet primordia and of axillary buds at different Waddington stages under LDs (A, C, E) and SDs
(B, D, F). The number of spikelet primordia is referring to the number of primordia per main spike. The
axillary buds scored include all the axillary buds, primary, secondary and higher order buds. Five or six
plants per genotype were dissected at each time point under LDs (16 h light/8 h night) and SDs (8h/16h,
light/dark). Statistical differences (P<0.05) were calculated using a polynomial regression model at 95%
confidence interval (Loess smooth line) shown in grey-shaded regions. www.plantphysiol.orgon August 16, 2020 - Published by Downloaded from
Copyright © 2019 American Society of Plant Biologists. All rights reserved.
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20406080
100120140
1 2 3 4 5Waddington stage
Num
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bud
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geno●●
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HvFT3 hvcen
HvFT3 HvCEN
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123456789
10
10 20 30 40 50 60 70Days after germination
Wad
ding
ton
stag
e
n●
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1
2
3
4
5
6
geno●●
●●
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hvelf3 hvcen
hvelf3 HvCEN
HvELF3 hvcen
HvELF3 HvCEN
D
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2 3 4 5 6 7 8 9 10Waddington stage
Num
ber o
f spi
kele
t prim
ordi
a
n●
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geno●●
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hvelf3 hvcen
hvelf3 HvCEN
HvELF3 hvcen
HvELF3 HvCEN
E
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1020304050607080
1 2 3 4 5 6 7 8 9 10Waddington stage
Num
ber o
f axi
llary
bud
s
n●
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1
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5
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geno●●
●●
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hvelf3 hvcen
hvelf3 HvCEN
HvELF3 hvcen
HvELF3 HvCEN
F
Figure 4. Microscopic phenotypes of double and single hvft3 x hvcen(mat-c.907) and hvelf3 x hvcen
(mat-c.907) mutants in Bonus under SDs. Development of the MSA, number of spikelet primordia and
number of axillary buds in HvFT3 or hvft3 background (A, B, C) and HvELF3 or hvelf3 background (C,
D, E) at different Waddington stages under SDs (8h/16h, light/dark). The number of spikelet primordia
is referring to the number of primordia per main spike. The axillary buds scored include all the axillary
buds, primary, secondary and higher order buds. Three to six plants per genotype were dissected at each
time point. Statistical differences (P<0.05) were calculated using a polynomial regression model at 95%
confidence interval (Loess smooth line) shown in grey-shaded regions.
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Figure 5. Expression pattern of HvCEN under LDs. A, B) RNA in situ hybridization using the anti-
sense probe C, D) negative controls using the sense probe of HvCEN in the shoot apex of cv. Bowman
at Waddington stages 2.0 and 3.5; E) expression of HvCEN in the pure inflorescence meristem of cv.
Bonus. Pure meristems were obtained by carefully removing leaf primordia and stem tissue beneath the
inflorescence under the microscope. LDs: long day condition (16h/8h light/dark), W: Waddington stage.
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W 1.0
mutants vs Bonus(2+4)
W 2.0
mutants vs Bonus(1124+2545)
W 3.5
mutants vs Bonus(179+22)
mutants vs Bonus(22+83)
mutants vs Bonus(550+1124)
2173330
675446
3
15421002
1
50129
0
8131
25580
mutants vs Bonus(28+2)
7210
110
220
A
SD_c.907_W3.5SD_c.943_W3.5SD_Bonus_W3.5LD_Bonus_W2.0SD_Bonus_W2.0LD_c.907_W3.5LD_c.943_W3.5LD_Bonus_W3.5LD_c.943_W2.0LD_c.907_W2.0LD_c.943_W1.0LD_c.907_W1.0LD_Bonus_W1.0SD_c.907_W1.0SD_c.943_W1.0SD_Bonus_W1.0SD_c.943_W2.0SD_c.907_W2.0
−3 −2 −1 0 1 2 3
I II III IV
B
Cluster No.
Log2-FCLDs SDs
Figure 6. DETs regulated between two hvcen mutants (mat-c.907 and mat-c.943) and wildtype
(Bonus) in at least one photoperiod condition (LD/SDs) and co-expression patterns of the DETs.
A) Number of DETs regulated in both mutants (mat-c.907 and mat-c.943) compared to WT (Bonus)
under LDs and/or SDs. The red circles display DETs detected under LDs and blue circles show DETs
detected under SDs.
B) Heatmap of co-expression clusters for 4527 DETs. Colors represent log2-fold changes (log2-FC) in
expression levels relative to the mean transcript abundance across the tested conditions, i.e., apex
(enriched) samples of mat-c.907, mat-c.943 and Bonus grown under LD and SD conditions and
harvested at different developmental stages (W1.0, W2.0, W3.5). LDs: long day condition (16h/8h,
light/dark), SDs: short day condition (8h/16h, light/dark), W: Waddington stage, DETs: differentially
expressed transcripts. Transcripts with FDR<0.01 were considered as DETs.
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cpm
W1.0 W2.0 W3.5
020
4060
8010
0 MSI HORVU5Hr1G084160
cpm
W1.0 W2.0 W3.5
020
4060
8010
0
cpm
W1.0 W2.0 W3.5
050
100
150
200
PRMT5 HORVU6Hr1G019540
cpm
W1.0 W2.0 W3.5
050
100
150
200
cpm
W1.0 W2.0 W3.5
010
2030
4050
60
ATXR6 HORVU6Hr1G011950
cpm
W1.0 W2.0 W3.5
010
2030
4050
60
cpm
W1.0 W2.0 W3.5
020
4060
80
PGY2 HORVU0Hr1G006020
cpm
W1.0 W2.0 W3.5
020
4060
80
cpm
W1.0 W2.0 W3.5
010
2030
4050
60
CDC6 HORVU3Hr1G084800
cpm
W1.0 W2.0 W3.5
010
2030
4050
60
cpm
W1.0 W2.0 W3.5
050
100
PRN12a HORVU4Hr1G002140
cpm
W1.0 W2.0 W3.5
050
100
cpm
W1.0 W2.0 W3.5
020
4060
80
ARR6 HORVU2Hr1G120490
cpm
W1.0 W2.0 W3.5
020
4060
80
cpm
W1.0 W2.0 W3.5
050
100
150
AHK3 HORVU3Hr1G094870
cpm
W1.0 W2.0 W3.5
050
100
150
cpm
W1.0 W2.0 W3.5
050
100
150
200
CWINV2 HORVU2Hr1G073210
cpm
W1.0 W2.0 W3.5
050
100
150
200
cpm
W1.0 W2.0 W3.5
050
100
150
Fructose-bisphosphate aldolase2 HORVU3Hr1G002780
cpm
W1.0 W2.0 W3.5
050
100
150
cpm
W1.0 W2.0 W3.5
010
020
030
040
050
0
PFK7 HORVU6Hr1G070270
cpm
W1.0 W2.0 W3.5
010
020
030
040
050
0
cpm
W1.0 W2.0 W3.5
050
100
200
300
NSN1 HORVU2Hr1G016650
cpm
W1.0 W2.0 W3.5
050
100
200
300
A
D
C
B
Bonus c.907 c.943
Figure 7. Expression profiles of selected DETs between the hvcen mutants (mat-c.907, mat-c.943)
and wildtype (Bonus) at W2.0 related to A) chromatin modification, regulation of development and
organ initiation; B) ribosomal proteins, leaf development, leaf patterning; C) regulation of hormone
level and hormone response D) cellular respiration, sink strength, carbohydrate metabolism, glycolytic
processes under both LDs and SDs. LDs and SDs are shown by white and grey colors. LDs: long day
condition (16h/8h, light/dark), SDs: short day condition (8h/16h, light/dark), white: light period (16h),
grey: dark period (8h), W: Waddington stage, cpm: normalized counts per million, DETs: differential
expressed transcripts, error bars: standard deviation. Transcripts with FDR<0.01 were considered as
DETs.
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cpm
W1.0 W2.0 W3.5
050
100
HvCEN HORVU2Hr1G072750
cpm
W1.0 W2.0 W3.5
050
100
cpm
W1.0 W2.0 W3.5
05
1015
2025
SOC1 HORVU1Hr1G051660
cpm
W1.0 W2.0 W3.5
05
1015
2025
cpm
W1.0 W2.0 W3.5
05
1015
20
FPF1 HORVU2Hr1G007350
cpm
W1.0 W2.0 W3.5
05
1015
20
cpm
W1.0 W2.0 W3.5
05
1015
2025
SEP2 HORVU4Hr1G067680
cpm
W1.0 W2.0 W3.5
05
1015
2025
cpm
W1.0 W2.0 W3.5
05
1015
SEP3 HORVU7Hr1G054220
cpm
W1.0 W2.0 W3.5
05
1015
cpm
W1.0 W2.0 W3.5
01
23
45
6
SWEET HORVU5Hr1G076770
cpm
W1.0 W2.0 W3.5
01
23
45
6
cpm
W1.0 W2.0 W3.5
010
2030
40
SEP1 HORVU7Hr1G025700
cpm
W1.0 W2.0 W3.5
010
2030
40
cpm
W1.0 W2.0 W3.5
05
1015
20
PI HORVU1Hr1G063620
cpm
W1.0 W2.0 W3.5
05
1015
20
cpm
W1.0 W2.0 W3.5
05
1015
20
CNGC2 HORVU5Hr1G096440
cpm
W1.0 W2.0 W3.5
05
1015
20
cpm
W1.0 W2.0 W3.5
050
100
150
200
AB Barrel Domain protein HORVU0Hr1G011450
cpm
W1.0 W2.0 W3.5
050
100
150
200
cpm
W1.0 W2.0 W3.5
020
4060
8010
0
ACBP6 HORVU7Hr1G008320
cpm
W1.0 W2.0 W3.5
020
4060
8010
0
cpm
W1.0 W2.0 W3.5
020
4060
80
HvBM8 HORVU2Hr1G063800
cpm
W1.0 W2.0 W3.5
020
4060
80
A
D
C
B
Bonus c.907 c.943
Figure 8. Expression profiles of selected DETs between the hvcen mutants (mat-c.907, mat-c.943)
and wildtype (Bonus) at W3.5 under both LDs and SDs. LDs and SDs are shown by white and grey
colors. LDs: long day conditions (16h/8h, light/dark), SDs: short day conditions (8h/16h, light/dark),
white: light period (16h), gray: dark period (8h), W: Waddington stage, cpm: normalized counts per
million, DETs: differential expressed transcripts, error bars: standard deviation.
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