Skip to main content
Annals of Botany logoLink to Annals of Botany
. 2017 Dec 21;121(1):183–191. doi: 10.1093/aob/mcx132

The autonomous flowering-time pathway pleiotropically regulates seed germination in Arabidopsis thaliana

Gabriela A Auge b, Logan K Blair c, Aleena Karediya 1, Kathleen Donohue
PMCID: PMC5786223  PMID: 29280995

Abstract

Background and Aims

Two critical developmental transitions in plants are seed germination and flowering, and the timing of these transitions has strong fitness consequences. How genetically independent the regulation of these transitions is can influence the expression of life cycles.

Method

This study tested whether genes in the autonomous flowering-time pathway pleiotropically regulate flowering time and seed germination in the genetic model Arabidopsis thaliana, and tested whether the interactions among those genes are concordant between flowering and germination stages.

Key Results

Several autonomous-pathway genes promote flowering and impede germination. Moreover, the interactions among those genes were highly concordant between the regulation of flowering and germination.

Conclusions

Despite some degree of functional divergence between the regulation of flowering and germination by autonomous-pathway genes, the autonomous pathway is highly functionally conserved across life stages. Therefore, genes in the autonomous flowering-time pathway are likely to contribute to genetic correlations between flowering and seed germination, possibly contributing to the winter-annual life history.

Keywords: Arabidopsis, thaliana, autonomous pathway, flowering time, genetic pathway, germination, phenotypic plasticity, pleiotropy

INTRODUCTION

Two critical developmental transitions in plants are seed germination and flowering. The timing of both transitions can be subject to strong natural selection; the timing of seed germination determines the seasonal conditions to which seedlings and later life stages are exposed (reviewed by Donohue et al., 2010; Postma et al., 2016), and the timing of reproduction determines the duration of seasonal conditions appropriate for reproduction (Munguia-Rosas et al., 2011; Ehrlen, 2015). Therefore, each developmental transition needs to be timed accurately to maximize fitness.

How genetically independent these distinct developmental transitions are could influence the expression of optimal life cycles, since each transition needs to respond optimally to its own internal and environmental cues. It is therefore important to know whether common genetic pathways pleiotropically regulate both flowering and germination. On the one hand, pleiotropy may facilitate the evolution of coordinated responses of multiple functionally related phenotypes; on the other, pleiotropy may prevent optimum phenotypes from evolving for any single trait (Fisher, 1958; Atchley, 1984; Wagner, 1988; Barton, 1990; Crespi, 2000; Orr, 2000; Griswold and Whitlock, 2003; Brakefield, 2006; Wagner et al., 2008; Walsh and Blows, 2009). Pleiotropy moreover is expected to be strongest when traits share entire genetic pathways of regulation. It is therefore important to know not only whether common genes regulate multiple developmental transitions, but also whether they do so through shared genetic pathways.

In the model genetic organism, Arabidopsis thaliana, pleiotropy has been documented in the regulation of flowering and germination. Specifically, the gene FLOWERING LOCUS C (FLC) was first identified as a major regulator of flowering time (Michaels and Amasino, 1999), integrating cues from the vernalization and autonomous flowering pathways (Simpson and Dean, 2002; Michaels et al., 2005; Ream et al., 2012). FLC prevents flowering by repressing the floral integrators SUPPRESSOR OF OVEREXPRESSION OF CONSTANS1 (SOC1), FLOWERING LOCUS T (FT) and FLOWERING LOCUS D (FD). FLC has since been shown to influence germination, with high-FLC genotypes showing more germination (Chiang et al., 2009; Blair et al., 2017).

More recently, regulators of FLC expression have also been shown to have pleiotropic effects on seed germination. Genes in the flowering-vernalization pathway regulate FLC expression at the vegetative stage in response to winter chilling. FRIGIDA (FRI) and VERNALIZATION INDEPENDENCE3 (VIP3) upregulate FLC (Michaels and Amasino, 2001; Zhang et al., 2003; Amasino, 2004; Dennis and Peacock, 2007; Choi et al., 2009; Ream et al., 2012), while VERNALIZATION INSENSITIVE3 (VIN3) and VERNALIZATION2 (VRN2) epigenetically silence FLC in response to chilling (Sung and Amasino, 2006; Ream et al., 2012). All those genes have also been shown to influence seed germination (Auge et al., 2017). Some did so in a manner that is expected based on their function as FLC repressors during the vegetative phase, but some appeared to have a degree of functional divergence between the vegetative stage, which determines flowering time, and the seed-maturation stage, which determines seed dormancy.

This study tests whether genes in a different flowering pathway – the autonomous flowering pathway – influence seed germination. Genes in the autonomous flowering pathway – FCA, FPA, FY, FLK, FVE, FLD, LD and others (Koornneef et al., 1991, 1998; Lee et al., 1994) – interact indirectly with the other flowering pathways to regulate flowering, by repressing FLC expression and thereby promoting flowering (Michaels and Amasino, 2001; Reeves and Coupland, 2001; Rouse et al., 2002; Lim et al., 2004; Mockler et al., 2004; Chen et al., 2005; Bäurle and Dean, 2008; Lee and Amasino, 2013). These genes are not directly involved in flowering responses to photoperiod or vernalization, but they regulate flowering responses to ambient temperature, allowing plants to flower more quickly especially under higher temperature (Blázquez et al., 2003). The genes in the autonomous pathway collectively regulate FLC mRNA levels via various epigenetic processes. FCA, FPA and FLK have RNA binding sites and are involved in RNA processing (Macknight et al., 1997; Schomburg et al., 2001; Simpson et al., 2003; Lim et al., 2004). Although FLK acts independently of FCA (Ripoll et al., 2009), other genes interact through various epigenetic mechanisms. FPA and FCA (interacting with FY; Simpson et al., 2003; Yu and Michaels, 2010) both have negative autoregulation via the polyadenylation and cleavage of their own RNA (Quesada et al., 2003; Xing et al., 2008; Hornyik et al., 2010). In addition, they are involved in the polyadenylation of antisense FLC, which then interacts with FLD to demethylate histones associated with FLC, resulting in the downregulation of FLC (Liu et al., 2007, 2010; Yu and Michaels, 2010). FVE is also involved in the epigenetic regulation of FLC, via histone methylation, and both FLD and FVE are involved in FLC-associated histone deacetylation (He et al., 2003; Ausín et al., 2004; Bäurle et al., 2007; Bäurle and Dean, 2008; Pazhouhandeh et al., 2011; Yu et al., 2016). Thus, the genes interact via epigenetic interactions to regulate FLC levels and thereby flowering (Koornneef et al., 1998; Simpson, 2004).

One gene in the autonomous flowering pathway – namely FY – has been studied within the context of seed germination (Jiang et al., 2012; Cyrek et al., 2016). Specifically, disruption of FY was shown to increase germination by decreasing sensitivity to the dormancy-inducing hormone abscisic acid (ABA). Moreover, FY has been shown to be involved RNA 3′ processing and to regulate the alternative polyadenylation of transcripts of the major dormancy regulator, DELAY OF GERMINATION-1 (DOG1: Bentsink et al., 2006). FY appears to be involved in the production of the biologically active short isoform transcript of DOG1 (Cyrek et al., 2016). Although this individual autonomous-pathway gene, FY, has been implicated in seed germination, whether the interactions among genes in that pathway are also preserved across flowering and germination remains unknown.

This study investigates pleiotropy of flowering-time autonomous-pathway genes across two major developmental transitions in plants: flowering and seed germination. The following were investigated: (1) Does disruption of autonomous-pathway genes increase seed germination, consistent with their role of being repressors of FLC? (2) Are the interactions among autonomous-pathway genes consistent between the major developmental transitions of flowering and germination?

MATERIALS AND METHODS

Genetic material and plant growth conditions

Mutations in the flowering-time autonomous pathway were used to compare their effects on flowering time and germination. All mutants were on the Landsberg erecta (Ler) reference (‘wild type’) genetic background from which the mutants were derived. Mutants include single knockout/knockdown mutants of the genes FLK, FCA, FPA, FVE and FY, as well as pairwise combinations of those mutants (fpa/fca, fve/fca, fve/fpa, fy/fca, fy/fpa, fy/fve). Supplementary Data Table S1 provides a list of mutants and ABRC stock numbers.

All genotypes were grown in a common environment to provide seeds for the experiment, as follows. Seeds were stratified at 4 °C for 7 d on 0.6 % (w/v) agar to induce germination, and they were then transferred to pots and allowed to germinate in a 12-h light/12-h dark cycle at 22 °C. After 1 week, seedlings were thinned and grown until seeds were harvested. These seeds were used to generate the maternal generation of this experiment. The maternal generation was grown as follows. Because of differences in flowering speed among the genotypes, slower flowering genotypes were planted before faster flowering genotypes; this schedule resulted in synchronized seed maturation across all genotypes for production of the seeds used in the germination assays described below. Seeds of each genotype were sown in 0.6 % (w/v) agar plates, stratified at 4 °C for 7 d in darkness, then transferred to pots with potting soil (Metromix 360 soil, Scotts Sierra, Marysville, OH, USA) in EGC GCW-30 Plant Growth Chambers (Environmental Growth Chambers, Chagrin Falls, OH, USA) under a 12-h light/12-h dark cycle [photosynthetically active radiation (PAR): 290 µmol m−2 s−1] at 22 °C to induce germination. Twelve replicate pots per genotype, thinned to one seedling per pot, were kept in the same conditions until bolting (when inflorescence stems were approximately 1 cm tall). All plants bolted within 10 d of one another. All plants were then transferred simultaneously to short day (8 h light/16 h darkness) at 15 °C constant temperature and were then fertilized once with a 300 p.p.m. nitrogen solution of Blossom Booster Fertilizer (JR Peters, Allentown, PA, USA). Plants were monitored approximately every 3 d. The timing of bolting (transitions from vegetative to reproductive state: ‘bolting date’) and the number of rosette leaves present at the time of bolting (‘leaf number’) were recorded. The number of leaves indicates the developmental stage at which bolting occurred. After at least 75 % of the siliques on all plants were mature, watering was withheld 1 week before harvest to induce the drying of siliques. Harvest of all plants occurred on the same day, after siliques had dried. After harvesting, all seeds were kept in dry storage (Secador® 4.0 Auto-Desiccator Cabinets, Bel-Art Products, Pequannock, NJ, USA) at room temperature. ‘Fresh’ seeds were used in germination assays 3 d after harvest. ‘After-ripened’ seeds were kept at room temperature in a desiccator cabinet for 3 months.

Germination assays

Germination of fresh and after-ripened seeds was assayed at two temperatures: 10 and 22 °C. Seeds were sown in 35-mm Petri plates with 0.6 % (w/v) agar and immediately incubated at 10 or 22 °C in a 12-h light/12-h dark cycle (PAR: 120–150 µmol m−2 s−1) in EGC Model GC8-2 Plant Growth Chambers (Environmental Growth Chambers). Twelve replicates (plates) were plated, for each treatment and genotype, with 20 seeds per plate (12 replicates × 12 genotypes × 2 temperatures × 2 after-ripening durations = 576 plates total). Twelve different maternal plants supplied seeds for the 12 replicate plates. Final germination proportion (seeds showing radicle protrusion/total number of viable seeds) was recorded 21 d after the beginning of incubation in the light, after germination had reached a clear plateau (usually after 14 d).

Statistical analysis

‘Bolting date’ was calculated as the number of days between seed sowing and the time of bolting, and it was natural-log transformed to normality; leaf number at the time of bolting was normally distributed. These two metrics of flowering time were analysed with analysis of variance (ANOVA), using PROC GLM in SAS 9.4 (SAS Institute, Cary, NC, USA) to test for significant effects of the mutations. Bolting date or leaf number were the dependent variables, and genotype was a fixed effect. Bolting date and leaf number were strongly correlated (Pearson’s correlation = 0.74, P < 0.001), and results were similar for both metrics of flowering time, so the discussion is restricted to the analysis of leaf number. Supplemental Data Fig. S1 and Table S2 provide analysis of bolting date. Comparisons of each mutant genotype were made to the Ler wild type background using the ‘contrast’ statement. Comparisons of double mutants to their corresponding single mutants were made in sub-models that included only Ler, the two single mutants and the double mutant, and the single mutants were compared to the double mutant. Significance levels were Bonferroni-corrected for multiple comparisons. To test for significant interactions between allelic states for each double-mutant group (deviation from additive effects of each locus), all genotypes were scored as functional or non-functional at each of the genotype’s two loci (‘Locus 1’ refers to the first gene indicated in the genotype name, and ‘Locus 2’ refers to the second gene indicated in the genotype genotype name, for each double mutant); ANOVA tested for a significant interaction between Locus 1 and Locus 2 in a model that included each locus and their interaction.

The final proportion of seeds that germinated was analysed with logistic regression (PROC GENMOD in SAS 9.4; SAS Institute) using a binomial distribution and a logit link function, to perform likelihood ratio tests based on Wald chi-square. First, a full model was used to test for higher-level interactions. Germination proportion was the dependent variable, and genotype, temperature treatment and after-ripening treatment were fixed effects. Because of highly significant interactions between genotype and temperature and between genotype and after-ripening, we tested for significant differences among genotypes within each after-ripening and temperature treatment separately. Each genotype was compared to the Ler wild type background in a single model; comparisons of double mutants to each of their component single mutants were conducted as described above, with the double mutant as the reference genotype, and significance levels were Bonferroni-corrected for multiple comparisons. To test whether mutational effects differed significantly across temperature, we tested for significant Genotype × Temperature interactions in fresh and after-ripened seeds separately in a model that included all genotypes (with the Ler wild type as the reference genotype). Likewise, to test whether allelic effects differed significantly across after-ripening treatments, we tested for significant Genotype × After-ripening interactions for each temperature separately.

RESULTS

Mutational disruption of each gene in the autonomous flowering-time pathway studied here resulted in significantly delayed flowering time, as expected (Table 1, Fig 1, Supplementary Data Table S2 and Fig. S1). Disruption of many of those genes also altered germination proportions in a manner that depended on temperature (Genotype × temperature: Wald’s chi-square = 79.61, P < 0.001) and after-ripening (Genotype × After-ripening: Wald’s chi-square = 38.46, P < 0.001). After-ripened seeds lost dormancy and therefore had higher germination proportions than fresh seeds, as expected (After-ripening: Wald’s chi-square = 197.46, P < 0.001).

Table 1.

Effects of mutation on flowering time

Locus 1 Locus 2 Double vs. Locus 1 Double vs. Locus 2 Locus 1 × Locus 2
fpa fca 12.81*** 16.07*** 3.39
fve fca 0.46 15.60*** 30.23***
fve fpa 12.57** 1.32 76.55***
fy fca 3.21 0.34 11.11**
fy fpa 0.08 2.10 26.60***
fy fve 4.99 5.92 28.53***

F-values are given, based on ANOVA to test for effects of mutation on the number of leaves at the time of bolting, a metric of flowering time. ‘Locus 1’ is listed in the first column, and ‘Locus 2’ is listed in the second column; double mutants have non-functional alleles at both loci. ‘Double vs. Locus 1’ and ‘Double vs. Locus 2’ compare the phenotype of the double mutant to the phenotype of each single mutant. ‘Locus 1 × Locus 2’ tests for significant interactions (non-additivity) between allelic states (functional vs. non-functional) of the two loci. **P < 0.01, ***P < 0.001. Any asterisk indicates significance after Bonferroni correction. See Supplementary Data Table S2 for comparisons of each genotype to the Ler wild type and for analysis of bolting time.

Fig. 1.

Fig. 1.

Differences between mutant genotypes and the Ler wild type in flowering time and germination. Mean (+s.e.) leaf number at the time of bolting, a metric of flowering time (upper left), and germination proportion of fresh (upper) and after-ripened (lower) seeds incubated at 10 °C (middle) and 22 °C (right). Asterisks indicate significant differences compared to the Ler wild type background. Arrows between panels indicate significance differences in mutational effects (comparison to Ler) between temperature, with the genotype that varies indicated below the arrow. See Table 2 and Supplementary Data Fig. S2 for comparisons of single and double mutants. *P < 0.017 (Bonferroni threshold); **P < 0.01; ***P < 0.001.

Table 2.

Comparison of germination proportions between single and double mutants

Locus 1 Locus 2 Double vs. Locus 1 Double vs. Locus 2 Locus 1 × Locus 2 Double vs. Locus 1 Double vs. Locus 2 Locus 1 × Locus 2
Fresh 10 °C 22 °C
fpa fca 8.37** 3.44 0.10 3.11 4.37 3.63
fve fca 48.08*** 0.47 38.15*** 0.13 1.10 0.05
fve fpa 9.16** 17.43*** 5.09* 1.21 4.04 0.23
fy fca 4.06 6.32 8.81** 0.07 6.41* 0.41
fy fpa 19.65*** 6.01 40.63*** 16.42*** 5.66 23.82***
fy fve 16.34*** 1.92 17.80*** 0.36 3.79 0.07
After-ripened 10 °C 22 °C
fpa fca 21.17*** 23.43*** 13.04*** 13.40*** 0.00 0.16
fve fca 0.00 4.10 47.69*** 0.00 0.00 0.00
fve fpa 0.00 21.71*** 3.79 0.00 7.94** 0.04
fy fca 30.18*** 2.97 32.18*** 3.22 0.00 9.91***
fy fpa 24.85*** 4.26 29.11*** 7.77** 10.62*** 1.78
fy fve 9.42** 0.00 16.28*** 0.00 0.00

Wald chi-square values are given, based on logistic regression. Results are provided separately for each temperature (10 and 22 °C) and for each after-ripening treatment (Fresh = 3 d after-ripened; After-ripened = 3 months after-ripened). Column headings are the same as in Table 1. See Supplementary Data Table S3 for comparisons of each genotype to the Ler wild type. ‘–‘ indicates contrast could not be computed because of lack of variance. *P < 0.017 (Bonferroni threshold value), **P < 0.01, ***P < 0.001.

Regarding single mutants, disruption of FLK, FPA (after-ripened seeds only), FVE and FY individually delayed flowering and increased germination at 10 °C (Figs 1 and S2A, Tables 1, 2, S2 and S3). At 22 °C, disruption of FY increased germination of fresh seeds, while disruption of FPA decreased germination at 22 °C in after-ripened seeds, revealing a temperature-dependent effect of FPA disruption on germination.

Interactions among the genes were evaluated by quantifying the effects of disrupting each pair of autonomous-pathway genes. Disruption of FCA and FPA (Figs 1 and S2B, Tables 1, 2, S2 and S3) contributed additively to the delay of flowering time, with the double mutant having more delayed flowering than either single mutant. When seeds were incubated at 10 °C, disruption of FPA alone increased germination (after-ripened seeds). The double mutant had a significantly higher germination proportion than the single fpa (both fresh and after-ripened seeds) and the fca (after-ripened seeds) single mutant, suggesting the contribution of both loci to the repression of germination.

Disruption of FCA and FY each delayed flowering, but the double mutant had a flowering time that was not significantly different from that of either single mutant (Figs 1 and S2C, Tables 1, 2, S2 and S3). This pattern suggests that FCA and FY interact to promote flowering, as has been documented previously (Simpson et al., 2003; Yu and Michaels, 2010). These genes also interacted to influence germination. The fca single mutant did not differ from the Ler wild type in any treatment. In fresh seeds, the single fy and the fca/fy double mutant had comparably higher germination than Ler. This result suggests that FCA does not influence germination in fresh seeds, alone or through its interactions with FY, but that functional FY inhibits germination. In after-ripened seeds at 10 °C, an interesting pattern was found that does implicate FCA in germination: disruption of FY alone enhanced germination, but the fca/fy double mutant had lower germination than the fy single mutant, and comparable germination to Ler and the fca single mutant. Therefore, the effect of disrupting FY was only apparent when FCA was functional. This pattern suggests that functional FCA can enhance germination when FY is inactive (Fig. 2A and B). After-ripened seeds of all genotypes germinated to 100 % at 22 °C.

Fig. 2.

Fig. 2.

Inferred genetic pathway whereby genes in the autonomous flowering-time pathway influence flowering and germination, via the expression of FLC, which represses flowering and increases germination. (A) A recurrent pattern observed in single and double mutants, which is not predicted from the function of autonomous-pathway genes being repressors of FLC. Capital letters (A and B) indicate wild type alleles at locus A and locus B, respectively, and lower case letters (a and b) indicate mutant alleles at those loci. ‘Phenotype’ refers to germination or flowering time. (B) Two genetic pathways that can account for the pattern observed in panel A. Scenario 1 shows two antagonistic pathways, with the repressing pathway stronger than the promoting pathway. Scenario 2 shows a linear epistatic pathway whereby one gene represses the other, which in turn promotes germination. Scenario 2 produces the pattern depicted by the dark grey bars in panel A, and scenario 1 can produce patterns depicted by dark or light grey bars in panel A, depending on the relative strengths of the repressing and promoting pathways. Grey-scale indicates the activity of the gene, with black being active and grey being inactive, due to mutation or repression. Based on the results of this study, locus A could be interpreted as FCA and FPA, while locus B could be interpreted as FY or FVE. (C) Inferred genetic pathways for flowering (far left) and germination for scenarios 1 and 2. Dotted lines indicate relationships observed in the germination pathways that were not observed in the flowering pathways (i.e. the non-concordant components of the pathways). Here, FLC is included as a hypothesis only, since this study does not directly test the involvement of FLC. FLC is depicted when results do not conflict with the interpretation that autonomous-pathway genes repress FLC to repress flowering and enhance germination. ‘?’ indicates a component that cannot be explained by autonomous-pathway genes repressing FLC; this component may be an unknown gene that acts independently of the FLC pathway, or it may be FLC that is upregulated, as opposed to repressed, by autonomous-pathway genes. Temperatures indicated in parentheses indicate inferred pathways based on findings only in that temperature.

Disruption of FCA and FVE both caused a delay of flowering, but disruption of both genes resulted in the same flowering behaviour as disruption of FVE alone (Figs 1 and S2D, Tables 1, 2, S2 and S3). This pattern suggests that the effect of FCA on flowering can be explained by its interaction with or regulation of FVE. After-ripened seeds incubated at 10 °C showed a similar pattern: disruption of FVE and concurrent disruption of both FVE and FCA resulted in increased germination. For fresh seeds at 10 °C, however, disruption of FVE caused an increase in germination, but the double mutant had significantly less germination than the single fve mutant but similar germination to the Ler wild type and the single fca mutant. This pattern suggests that FCA may enhance germination when FVE is not active (Fig. 2A and B). At 22 °C, disruption of these genes did not significantly alter germination.

Disruption of FPA and FY each delayed flowering, but the double mutant had a flowering time that was not significantly different from that of either single mutant (Figs 1 and S2E, Tables 1, 2, S2 and S3). This pattern suggests that FPA and FY interact to promote flowering. For seeds incubated at 10 °C, disruption of FY alone enhanced germination, but the fpa/fy double mutant had significantly lower germination than the fy single mutant, but did not differ from the wild type or the fpa single mutant. Therefore, FPA, like FCA, may enhance germination when FY is inactive (Fig. 2A and B). This same pattern was observed at 22 °C, except that in after-ripened seeds, even the fpa single mutant had lower germination than the Ler wild type, suggesting that this gene can enhance germination under some conditions, even when FY is active.

Disruption of FPA and FVE each delayed flowering, but the double mutant had a flowering time that was significantly earlier than the single fve mutant (Figs 1 and S2F, Tables 1, 2, S2 and S3). This pattern suggests that FPA promotes flowering via its interaction with FVE, but that when FVE is not active it may delay flowering. Germination at 10 °C resembled this pattern, but not completely. In fresh seeds, disruption of FPA alone did not alter germination, although the double mutant showed significantly less germination than the fve single mutant. This pattern suggests that, like FCA, FPA enhances germination when FVE is not active (Fig. 2A and B). In after-ripened seeds at 10 °C, disruption of each gene enhanced germination, but the double mutant had the same germination as the fve single mutant, suggesting either additive contributions that resulted in maximal germination, such that any germination-enhancing contribution of FPA (reduction in germination caused by FPA disruption) is no longer detectable in highly after-ripened seeds, or that FPA represses germination solely through its interaction with FVE. At 22 °C, disruption of FVE appears to increase germination in fresh seeds, since the double mutant had significantly higher germination than the Ler wild type, and the fve mutant did not differ significantly from the double mutant in its germination. In after-ripened seeds at 22 °C, disruption of FPA alone resulted in less germination, suggesting functional FPA can enhance germination at 22 °C (as discussed above).

Disruption of FVE and FY each delayed flowering, but the double mutant had a flowering time that was not significantly different from that of either single mutant (Figs 1 and S2G, Tables 1, 2, S2 and S3). This suggests that FVE and FY interact to promote flowering. For seeds incubated at 10 °C, disruption of each gene alone increased germination, but the double mutant had a germination proportion that was not significantly different from the fve single mutant. This pattern suggests that functional FY inhibits germination through its interaction with FVE. At 22 °C, fy and the double mutant had comparably higher germination than the Ler wild type (fresh seeds), indicating that functional FY impedes germination at 22 °C. All after-ripened seeds germinated to high proportions at this temperature.

DISCUSSION

Several genes in the autonomous flowering-time pathway pleiotropically influenced seed germination. The majority of these genes acted to promote flowering and impede germination, but their effect on seed germination sometimes varied with temperature or degree of after-ripening. Some genes interacted with each other in their regulation of both flowering time and germination, sometimes synergistically but sometimes in opposition to one another. The pattern of these interactions was similar between the regulation of flowering and the regulation of germination, especially at 10 °C, suggesting the conservation of gene function across these two developmental transitions. However, we did find evidence that some genes in the autonomous pathway may promote germination, which is not predicted based on their known function in FLC repression during the transition to flowering.

All the genes studied here promoted flowering, consistent with their role of repressing FLC. Only FPA appeared to have some antagonistic effect on flowering in its interaction with FVE; although FPA appears to promote flowering when FVE is functional, it also appears to have an antagonistic effect that is apparent in the absence of functional FVE, such that the double mutant fpa/fve had earlier flowering than the single fve mutant. FPA also appeared to interact non-additively with FY, FCA interacted with FVE and FY, and FY and FVE interacted with each other in the regulation of flowering. Several of these interactions accord with known interactions among these genes (Koornneef et al., 1998; Simpson et al., 2003; Simpson, 2004; Liu et al., 2007, 2010; Yu and Michaels, 2010). Although we detected some non-additive interactions that have not always been observed (specifically the potentially antagonistic effect of FPA in the absence of functional FVE; Bäurle et al., 2007), the positive contribution of these genes to flowering is consistent with current knowledge of their function as repressors of FLC.

Most of the genes studied here impeded germination when functional under at least some conditions. This basic pattern is consistent with their function as repressors of FLC, since FLC is known to promote germination (Chiang et al., 2009; Blair et al., 2017). FY has been previously shown to influence seed dormancy, and these results are consistent with that finding (Jiang et al., 2012; Cyrek et al., 2016). In particular, Jiang et al. (2012) found that the fy-1 mutant had reduced dormancy (higher germination), but also higher levels of the dormancy-inducing hormone ABA, suggesting that fy-1 is insensitive to ABA. However, the domains of FY that are essential for the control of flowering were not essential for ABA-induced dormancy, suggesting different domains of the gene are involved in the regulation of flowering versus germination. Although FLC expression was not shown to be altered in dry seeds in the fy-1 mutant in their study, it cannot be ruled out that FLC is involved in the dormancy phenotype, because FLC expression increases during the late stages of seed development when dormancy is induced (Chiang et al., 2009). Therefore, although FY regulates seed germination via the same hormone as is involved in its regulation of flowering (ABA), it is still unclear whether it regulates both traits through FLC. Cyrek et al. (2016) found evidence that FY may influence germination through mediating the alterative polyadenylation of transcripts of DOG1, a major regulator of seed dormancy (Bentsink et al., 2006). Thus, FY may interact directly with other dormancy genes, independently of FLC. However, although no interactions between DOG1 and FLC have been documented, interactions between these two genes in the regulation of germination have not been investigated. Despite interactions of FY with other dormancy genes, it cannot be ruled out that FLC is also involved.

In general, disruption of autonomous-pathway genes increased germination, but the contribution of some genes varied with temperature or duration of after-ripening. This result is consistent with the temperature- and dormancy-dependent contribution of FLC itself to germination (Blair et al., 2017). Because FLC influences germination in concert with other dormancy-regulating genes (Holdsworth et al., 2008; Footitt et al., 2011, 2014), its effect is most pronounced at intermediate levels of dormancy and is contingent on temperature. When dormancy is high and temperatures are non-permissive for germination, FLC alone does not overcome those inhibitory conditions to induce germination; when dormancy is very weak and germination conditions are very permissive, all seeds can germinate regardless of FLC abundance (Blair et al., 2017). Here, consistent with those results, we saw that when wild type seeds had maximum germination (weak dormancy and permissive temperature for germination – in this experiment, after-ripened seeds at 22 °C), disruption of autonomous-pathway genes had no detectable promotive effect on germination. Moreover, it was only under these conditions that the inhibitory effect of disrupting FPA was detectable.

Although most genes in their active form operated to inhibit germination, some evidence for opposing effects was found. This is not expected based on the function of autonomous-pathway genes solely as repressors of FLC, since FLC promotes germination (Chiang et al., 2009; Blair et al., 2017). Specifically, FCA and FPA appear to have some positive contribution to germination under some circumstances. A recurrent pattern was that single fca or fpa mutants did not have altered germination, single fy or fve mutants had higher germination, but double mutants (fca or fpa combined with fy or fve) had lower germination than the fy or fve single mutants (Fig. 2A). One interpretation of this pattern is that FY and FVE repress the ability of FCA and FPA to promote germination in a linear epistatic relationship (Fig. 2, scenario 2). If functional FCA (or FPA) promotes germination, a single fca (or fpa) mutation would have no effect if FY and FVE are already repressing it. If FY or FVE is disrupted, however, that repression of FCA (or FPA) would be lost, so germination would be enhanced. In the double mutants, repression of FCA (or FPA) is lost, but so is its ability to promote germination, leading to a reduction of germination compared to the single fve or fy mutant as well as no significant difference from the wild type. A second interpretation of this pattern is that FY and FVE strongly repress germination, possibly through interacting with FCA (and FPA) as they do during flowering, but that FCA (and FPA) weakly promotes germination independently of FY and FVE (Fig. 2, scenario 1). In this scenario, a single fca (or fpa) mutant may have no discernible effect if active FY and FVE is strongly repressing germination. If those repressing genes are disrupted, germination would increase; but if the promoting pathway of FCA (or FPA) is also disrupted, in the absence of the overwhelming repression by FY or FVE, then germination would be reduced in the double mutant compared to the fy or fve single mutants. In this case, germination may not be reduced to the level of the wild type, if the pathway that promotes germination is weaker than the pathway that represses it (as seen in fca/fve and fpa/fve double mutants in some conditions). This interpretation is consistent with the finding that FCA and FPA may be involved in the siRNA-mediated silencing of targets other than FY (Bäurle et al., 2007). Moreover, scenario 1 is more concordant with the inferred relationships in the regulation of flowering than scenario 2. In summary, the pattern suggests that FCA and FPA in some way promote germination through pathways that are repressed or overwhelmed by FY and FVE.

The observation that disruption of FCA and FPA decreases germination in some circumstances suggests that these genes do not affect germination exclusively through the repression of FLC. One possibility is that these genes may act in germination-promoting pathways that operate independently of FLC under some conditions. Alternatively, when their partners are non-functional, they may themselves promote FLC expression. Finally, it is possible that through complex interactions with other genes, they may repress repressors of FLC. Distinguishing between these possibilities would require quantification of FLC expression in these mutants as well as phenotypic measurements in combinatorial mutants between these autonomous-pathway genes and FLC, as well as higher-order autonomous-pathway mutations combined with mutation of FLC.

Other pleiotropic effects of autonomous-pathway genes have been documented, including effects on vigour, chlorophyll accumulation, leaf and inflorescence shape, cold-stress response, defence against fungal pathogens, and circadian clock regulation (Martinez-Zapater et al., 1995; Koornneef et al., 1998; Meier et al., 2001; Kim et al., 2004; Henderson et al., 2005; Salathia et al., 2006; Veley and Michaels, 2008; Lyons et al., 2015). In some cases, effects of autonomous-pathway genes have been shown to occur independently of FLC regulation (Lyons et al., 2015). For instance, in mutants without functional FLC, mutant fpa genotypes showed some effect of flowering (Michaels and Amasino, 2001), and FPA was shown to interact with genes not in the FLC flowering pathway (Koornneef et al., 1998). Genetic targets other than FLC have been suggested based on microarray studies (Marquardt et al., 2006), and FCA and FPA have been implicated in the siRNA-mediated silencing of other single- or low-copy loci (Bäurle et al., 2007). The observation that the function of several autonomous-pathway genes is conserved in diverse taxa, including monocots (Lee et al., 2005; Winichayakul et al., 2005; Baek et al., 2008; Abou-Elwafa et al., 2011; Sun et al., 2012; Hu et al., 2014), even when FLC is not conserved, further suggests that these genes may act independently of FLC (Simpson, 2004). Therefore, autonomous-pathway genes may operate independently of FLC, but the extent to which pleiotropic effects of autonomous-pathway genes are independent of FLC remains unknown.

Autonomous-pathway genes sometimes interacted non-additively to influence germination. In general, these interactions are similar to those observed for flowering-time regulation (Fig. 2C, especially scenario 1). Specifically, FCA and FPA interacted with FVE and FY non-additively, and FY and FVE interacted with each other to influence germination. The overall similarity of the direct contributions and interactions of these genes in their regulation of flowering and germination is notable, and suggests conservation of function in their regulation of flowering and germination. However, the observation that FCA and FPA can conditionally promote germination suggests some divergence of function between the regulation of flowering and germination by the autonomous pathway, since such antagonistic effects of these genes have not been documented in their regulation of flowering. This experiment did document some evidence that FPA may delay flowering in the absence of functional FVE, suggesting possible concordance across flowering and germination even of this antagonistic function. Note that such conservation of function across development is not always found in genes that pleiotropically regulate flowering and germination. For example, some genes in the vernalization pathway were found to be functionally conserved across flowering and germination (specifically FRI and VIN3) but others were not (VIP3 and VRN2; Auge et al., 2017). Thus, even though genes share the regulation of different life stages, they may do so in different ways or through different pathways.

Regarding autonomous-pathway genes, not only are individual genes pleiotropic across germination and flowering pathways, but the overall structure of the pathway appears to be highly, if not completely, conserved across development (Fig. 2C, scenario 1). Such concordance of genetic pathways in the regulation of these two traits suggests that genes in the autonomous pathway strengthen genetic correlations between these traits. Specifically, they promote flowering, but impede germination. In winter annuals such as A. thaliana, this could be manifest as the induction of flowering in spring and the delay of germination until autumn – the typical phenology expressed by winter annuals. However, if flowering is induced in autumn, germination could be postponed until spring, which is not likely to be adaptive (Donohue et al., 2005). Thus, the adaptive value of this pleiotropy probably depends on whether other genes in the flowering pathway permit autumn flowering or enforce the winter-annual habit of flowering in the spring.

In conclusion, evidence of pleiotropy of genes in the autonomous flowering-time pathway was found, such that both flowering and germination appear to be regulated by these genes. They do so primarily in a manner consistent with their function as repressors of FLC expression, although some genes exhibited other modes of function. Moreover, the interactions among those genes were found to be largely concordant between flowering and germination regulation. Thus, a functional conservation is apparent across development for these genes, which can contribute to correlations among flowering and germination time and influence overall life cycles.

SUPPLEMENTARY DATA

Supplementary data are available online at www.aob.oxfordjournals.org and consist of the following. Table S1: ARBC stock numbers for mutants used in this study. Table S2: Effects of mutation on flowering time. Table S3: Effects of mutation on germination proportions. Figure S1: Differences between mutant genotypes and the Ler wild type in bolting time. Figure S2: Differences among genotypes in flowering time and germination for combinatorial pairs of mutations.

Supplementary Material

Supplement Data

ACKNOWLEDGEMENTS

We are grateful to the staff at the Duke Phytotron for providing excellent plant care. We also thank Brianne Edwards for assistance with the data collection for these experiments. The manuscript benefited enormously from conversations with Brianne Edwards, Lindsay Leverett, Toshiyuki Imaizumi and Michelle D’Aguillo. This work was supported by the National Science Foundation [NSF-IOS-11-46383 to K.D.].

LITERATURE CITED

  1. Abou-Elwafa SF, Büttner B, Chia T et al. 2011. Conservation and divergence of autonomous pathway genes in the flowering regulatory network of Beta vulgaris. Journal of Experimental Botany 62: 3359–3374. [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. Amasino RM. 2004. Vernalization, competence, and the epigenetic memory of winter. The Plant Cell 16: 2553–2559. [DOI] [PMC free article] [PubMed] [Google Scholar]
  3. Atchley WR. 1984. Ontogeny, timing of development, and genetic variance–covariance structure. The American Naturalist 123: 519–540. [Google Scholar]
  4. Auge GA, Blair LK, Neville H, Donohue K. 2017. Maternal vernalization and vernalization-pathway genes influence progeny seed germination. New Phytologist 216: 388–400. [DOI] [PubMed] [Google Scholar]
  5. Ausín I, Alonso-Blanco C, Jarillo JA, Ruiz-García L, Martínez-Zapater JM. 2004. Regulation of flowering time by FVE, a retinoblastoma-associated protein. Nature Genetics 36: 162–166. [DOI] [PubMed] [Google Scholar]
  6. Baek I-S, Park H-Y, You MK, Lee JH, Kim J-K. 2008. Functional conservation and divergence of FVE genes that control flowering time and cold response in rice and Arabidopsis.Molecules and Cells 26: 368–372. [PubMed] [Google Scholar]
  7. Barton NH. 1990. Pleiotropic models of quantitative variation. Genetics 124: 773–782. [DOI] [PMC free article] [PubMed] [Google Scholar]
  8. Bäurle I, Dean C. 2008. Differential interactions of the autonomous pathway RRM proteins and chromatin regulators in the silencing of Arabidopsis targets. Plos One 3: e2733. [DOI] [PMC free article] [PubMed] [Google Scholar]
  9. Bäurle I, Smith L, Baulcombe DC, Dean C. 2007. Widespread role for the flowering-time regulators FCA and FPA in RNA-mediated chromatin silencing. Science 318: 109–112. [DOI] [PubMed] [Google Scholar]
  10. Bentsink L, Jowett J, Hanhart CJ, Koornneef M. 2006. Cloning of DOG1, a quantitative trait locus controlling seed dormancy in Arabidopsis. Proceedings of the National Academy of Sciences USA 103: 17042–17047. [DOI] [PMC free article] [PubMed] [Google Scholar]
  11. Blair LK, Auge GA, Donohue K. 2017. Effect of FLOWERING LOCUS C on seed germination depends on dormancy. Functional Plant Biology 44: 493–506. [DOI] [PubMed] [Google Scholar]
  12. Blázquez MA, Ahn JH, Weigel D. 2003. A thermosensory pathway controlling flowering time in Arabidopsis thaliana. Nature Genetics 33: 168–171. [DOI] [PubMed] [Google Scholar]
  13. Brakefield PM. 2006. Evo-devo and constraints on selection. Trends in Ecology and Evolution 21: 362–368. [DOI] [PubMed] [Google Scholar]
  14. Chen R, Zhang S, Sun S, Chang J, Zuo J. 2005. Characterization of a new mutant allele of the Arabidopsis Flowering Locus D (FLD) gene that controls the flowering time by repressing FLC. Chinese Science Bulletin 50: 2701–2706. [Google Scholar]
  15. Chiang GCK, Barua D, Amasino R, Donohue K. 2009. A major flowering-time gene, FLOWERING LOCUS C, controls temperature-dependent germination in Arabidopsis thaliana. Proceedings of the National Academy of Sciences USA 106: 11661–11666. [DOI] [PMC free article] [PubMed] [Google Scholar]
  16. Choi J, Hyun Y, Kang MJ et al. 2009. Resetting and regulation of FLOWERING LOCUS C expression during Arabidopsis reproductive development. The Plant Journal 57: 918–931. [DOI] [PubMed] [Google Scholar]
  17. Crespi BJ. 2000. The evolution of maladaptation. Heredity 84: 623–629. [DOI] [PubMed] [Google Scholar]
  18. Cyrek M, Fedak H, Ciesielski A et al. 2016. Seed dormancy in Arabidopsis is controlled by alternative polyadenylation of DOG1. Plant Physiology 170: 947–955. [DOI] [PMC free article] [PubMed] [Google Scholar]
  19. Dennis ES, Peacock WJ. 2007. Epigenetic regulation of flowering. Current Opinion in Plant Biology 10: 520–527. [DOI] [PubMed] [Google Scholar]
  20. Donohue K, Dorn LA, Griffith C, Schmitt J, Kim E-S, Aguilera A. 2005. The evolutionary ecology of seed germination of Arabidopsis thaliana: variable natural selection on germination timing. Evolution 59: 758–770. [PubMed] [Google Scholar]
  21. Donohue K, Rubio de Casas R, Burghardt L, Kovach K, Willis C. 2010. Germination, post-germination adaptation, and species ecological ranges. Annual Review of Evolution, Ecology and Systematics 41: 293–319. [Google Scholar]
  22. Ehrlen J. 2015. Selection on flowering time in a life-cycle context. Oikos 124: 92–101 [Google Scholar]
  23. Fisher RA. 1958. The genetical theory of natural selection. New York: Dover. [Google Scholar]
  24. Footitt S, Douterelo-Soler I, Clay H, Finch-Savage WE. 2011. Dormancy cycling in Arabidopsis seeds is controlled by seasonally distinct hormone-signaling pathways. Proceedings of the National Academy of Sciences USA 108: 20236–20241. [DOI] [PMC free article] [PubMed] [Google Scholar]
  25. Footitt S, Clay HA, Dent K, Finch-Savage WE. 2014. Environment sensing in spring-dispersed seeds of a winter annual Arabidopsis influences the regulation of dormancy to align germination potential with seasonal changes. New Phytologist 202: 929–939. [DOI] [PMC free article] [PubMed] [Google Scholar]
  26. Griswold CK, Whitlock MJ. 2003. The genetics of adaptation: the roles of pleiotropy, stabilizing selection and drift in shaping the distribution of bidirectional fixed mutational effects. Genetics 165: 2181–2192. [DOI] [PMC free article] [PubMed] [Google Scholar]
  27. He Y, Michaels SD, Amasino RM. 2003. Regulation of flowering time by histone acetylation in Arabidopsis. Science 302: 1751–1754. [DOI] [PubMed] [Google Scholar]
  28. Henderson IR, Liu F, Drea S, Simpson GG, Dean C. 2005. An allelic series reveals essential roles for FY in plant development in addition to flowering-time control. Development 132: 3597–3607 [DOI] [PubMed] [Google Scholar]
  29. Holdsworth MJ, Bentsink L, Soppe WJJ. 2008. Molecular networks regulating Arabidopsis seed maturation, after-ripening, dormancy, and germination. New Phytologist 179: 33–54. [DOI] [PubMed] [Google Scholar]
  30. Hornyik C, Terzi LC, Simpson GG. 2010. The spen family protein FPA controls alternative cleavage and polyadenylation of RNA. Developmental Cell 18: 203–213. [DOI] [PubMed] [Google Scholar]
  31. Hu Q, Jin Y, Shi H, Yang W. 2014. GmFLD, a soybean homolog of the autonomous pathway gene, FLOWERING LOCUS D, promotes flowering in Arabidopsis thaliana. BMC Plant Biology 14: 263–274. [DOI] [PMC free article] [PubMed] [Google Scholar]
  32. Jiang S, Kumar S, Eu Y-J, Jami SK, Stasolla C, Hill RD. 2012. The Arabidopsis mutant, fy-1, has an ABA-insensitive germination phenotype. Journal of Experimental Botany 63: 2693–2703. [DOI] [PMC free article] [PubMed] [Google Scholar]
  33. Kim H-J, Hyun Y, Park J-Y et al. 2004. A genetic link between cold responses and flowering time through FVEin I. Nature Genetics 36: 167–171. [DOI] [PubMed] [Google Scholar]
  34. Koornneef M, Hanhart CJ, van der Veen JH. 1991. A genetic and physiological analysis of late flowering mutants in Arabidopsis thaliana.Molecular and General Genetics 229: 57–66 [DOI] [PubMed] [Google Scholar]
  35. Koornneef M, Alonso-Blanco C, Blankestijn-de Vries H, Hanhart CJ, Peters JM. 1998. Genetic interactions among late-flowering mutants of Arabidopsis. Genetics 148: 885–892. [DOI] [PMC free article] [PubMed] [Google Scholar]
  36. Lee I, Aukerman MJ, Gore SL et al. 1994. Isolation of LUMINIDEPENDENS: A gene involved in the control of flowering time in Arabidopsis.The Plant Cell 6: 75–83. [DOI] [PMC free article] [PubMed] [Google Scholar]
  37. Lee J, Amasino RM. 2013. Two FLX family members are non-redundantly required to establish the vernalization requirement in Arabidopsis. Nature Communications 4: 2186. [DOI] [PMC free article] [PubMed] [Google Scholar]
  38. Lee J-H, Cho Y-S, Yoon H-S et al. 2005. Conservation and divergence of FCA function between Arabidopsis and rice. Plant Molecular Biology 58: 823–838. [DOI] [PubMed] [Google Scholar]
  39. Lim M-H, Kim J, Kim Y-S et al. 2004. A new Arabidopsis gene, FLK, encodes an RNA binding protein with K homology motifs and regulates flowering time via Flowering Locus C. The Plant Cell 16: 731–740. [DOI] [PMC free article] [PubMed] [Google Scholar]
  40. Liu F, Quesada V, Crevillen P, Baurle I, Swiezewski S, Dean C. 2007. The Arabidopsis RNA-binding protein FCA requires a lysine-specific demethylase 1 homolog to downregulate FLC. Molecular Cell 28: 398–407. [DOI] [PubMed] [Google Scholar]
  41. Liu F, Marquardt S, Lister C, Swiezewski S, Dean C. 2010. Targeted 3’ processing of antisense transcripts triggers Arabidopsis FLC chromatin silencing. Science 327: 94–97. [DOI] [PubMed] [Google Scholar]
  42. Lyons R, Rusu A, Stiller J, Powell J, Manners JM, Kazan K. 2015. Investigating the association between flowering time and defense in the Arabidopsis thaliana–Fusarium oxysporum interaction. PLoS ONE 10: e0127699. [DOI] [PMC free article] [PubMed] [Google Scholar]
  43. Macknight R, Bancroft I, Page T et al. 1997. FCA, a gene controlling flowering time in Arabidopsis, encodes a protein containing RNA-binding domains. Cell 89: 737–745. [DOI] [PubMed] [Google Scholar]
  44. Marquardt S, Boss P, Hadfield J, Dean C. 2006. Additional targets of the Arabidopsis autonomous pathway members, FCA and FY. Journal of Experimental Botany 57: 3379–3386. [DOI] [PubMed] [Google Scholar]
  45. Martinez-Zapater JM, Jarillo JA, Cruz-Alvarez M, Roldan M, Julio Salines J. 1995. Arabidopsis late-flowering fve mutants are affected in both vegetative and reproductive development. The Plant Journal 7: 543–551. [Google Scholar]
  46. Meier C, Bouquin T, Nielsen ME et al. 2001. Gibberellin response mutants identified by luciferase imaging. The Plant Journal 25: 509–519. [DOI] [PubMed] [Google Scholar]
  47. Michaels SD, Amasino RM. 1999. FLOWERING LOCUS C encodes a novel MADS domain protein that acts as a repressor of flowering. Plant Cell 11: 949–956. [DOI] [PMC free article] [PubMed] [Google Scholar]
  48. Michaels SD, Amasino RM. 2001. Loss of FLOWERING LOCUS C activity eliminates the late-flowering phenotype of FRIGIDA and autonomous pathway mutations but not responsiveness to vernalization. Plant Cell 13: 935–941. [DOI] [PMC free article] [PubMed] [Google Scholar]
  49. Michaels SD, Himelblau E, Kim SY, Schomburg FM, Amasino RM. 2005. Integration of flowering signals in winter-annual Arabidopsis. Plant Physiology 137: 49–56. [DOI] [PMC free article] [PubMed] [Google Scholar]
  50. Mockler TC, Yu X, Shalitin D et al. 2004. Regulation of flowering time in Arabidopsis by K homology domain proteins. Proceedings of the National Academy of Sciences USA 101: 12759–12764. [DOI] [PMC free article] [PubMed] [Google Scholar]
  51. Munguia-Rosas MA, Ollerton J, Parra-Tabla V, De-Nova JA. 2011. Meta-analysis of phenotypic selection on flowering phenology suggests that early flowering plants are favoured. Ecology Letters 14: 511–521 [DOI] [PubMed] [Google Scholar]
  52. Orr HA. 2000. Adaptation and the cost of complexity. Evolution 54: 13–20. [DOI] [PubMed] [Google Scholar]
  53. Pazhouhandeh M, Molinier J, Berr A, Genschik P, Koornneef M. 2011. MSI4/FVE interacts with CUL4-DDB1 and a PRC2-like complex to control epigenetic regulation of flowering time in Arabidopsis. Proceedings of the National Academy of Sciences USA 108: 3430–3435. [DOI] [PMC free article] [PubMed] [Google Scholar]
  54. Postma FM, Lundemo S, Ågren J. 2016. Seed dormancy cycling and mortality differ between two locally adapted populations of Arabidopsis thaliana. Annals of Botany 117: 249–256. [DOI] [PMC free article] [PubMed] [Google Scholar]
  55. Quesada V, Macknight R, Dean C, Simpson GG. 2003. Autoregulation of FCA pre-mRNA processing controls Arabidopsis flowering time. EMBO Journal 22: 3142–3152. [DOI] [PMC free article] [PubMed] [Google Scholar]
  56. Ream TS, Woods DP, Amasino RM. 2012. The molecular basis of vernalization in different plant groups. Cold Spring Harbor Symposium on Quantitative Biology 77: 105–115. [DOI] [PubMed] [Google Scholar]
  57. Reeves PH, Coupland G. 2001. Analysis of flowering time control in Arabidopsis by comparison of double and triple mutants. Plant Physiology 126: 1085–1091. [DOI] [PMC free article] [PubMed] [Google Scholar]
  58. Ripoll JJ, Rodríguez-Cazorla E, González-Reig S et al. 2009. Antagonistic interactions between Arabidopsis K-homology domain genes uncover PEPPER as a positive regulator of the central floral repressor FLOWERING LOCUS C. Developmental Biology 333: 251–262. [DOI] [PubMed] [Google Scholar]
  59. Rouse DT, Sheldon CC, Bagnall DJ, Peacock WJ, Denni ES. 2002. FLC, a repressor of flowering, is regulated by genes in different inductive pathways. The Plant Journal 29: 183–191. [DOI] [PubMed] [Google Scholar]
  60. Salathia N, Davis SJ, Lynn JR, Michaels SD, Amasino RM, Millar AJ. 2006. FLOWERING LOCUS C-dependent and -independent regulation of the circadian clock by the autonomous and vernalization pathways. BMC Plant Biology 6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  61. Schomburg FM, Patton DA, Meinke DW, Amasino RM. 2001. FPA, a gene involved in floral induction in Arabidopsis, encodes a protein containing RNA-recognition motif. The Plant Cell 13: 1427–1436. [DOI] [PMC free article] [PubMed] [Google Scholar]
  62. Simpson GG. 2004. The autonomous pathway: epigenetic and post-transcriptional gene regulation in the control of Arabidopsis flowering time. Current Opinion in Plant Biology 70: 570–574. [DOI] [PubMed] [Google Scholar]
  63. Simpson GG, Dean C. 2002. Arabidopsis: The Rosetta Stone of flowering time?Science 296: 285–289. [DOI] [PubMed] [Google Scholar]
  64. Simpson GG, Dijkwel PP, Quesada V, Henderson I, Dean C. 2003. FY is an RNA 3’ end-processing factor that interacts with FCA to control the Arabidopsis floral transition. Cell 113: 777–787 [DOI] [PubMed] [Google Scholar]
  65. Sun X, Qin Q, Zhang J et al. 2012. Isolation and characterization of the FVE gene of a Doritaenopsis hybrid involved in the regulation of flowering. Plant Growth Regulation 68: 77–86 [Google Scholar]
  66. Sung S, Amasino RM. 2006. Molecular genetic studies of the memory of winter. Journal of Experimental Botany 57: 3369–3377. [DOI] [PubMed] [Google Scholar]
  67. Veley KM, Michaels SD. 2008. Functional redundancy and new roles for genes of the autonomous floral-promotion pathway. Plant Physiology 14: 682–695. [DOI] [PMC free article] [PubMed] [Google Scholar]
  68. Wagner GP. 1988. The influence of variation and of developmental constraints on the rate of multivariate phenotypic evolution. Journal of Evolutionary Biology 1: 45–66. [Google Scholar]
  69. Wagner GP, Kenney-Hunt JP, Pavlicev M, Peck JR, Waxman D, Cheverud JM. 2008. Pleiotropic scaling of gene effects and the ‘cost of complexity’. Nature 452: 470–472. [DOI] [PubMed] [Google Scholar]
  70. Walsh B, Blows MW. 2009. Abundant genetic variation + strong selection = multivariate genetic constraints: a geometric view of adaptation. Annual Review of Ecology, Evolution, and Systematics 40: 41–59. [Google Scholar]
  71. Winichayakul S, Beswick NL, Dean C, Macknight RC. 2005. Components of the Arabidopsis autonomous floral promotion pathway, FCA and FY, are conserved in monocots. Functional Plant Biology 32: 345–355. [DOI] [PubMed] [Google Scholar]
  72. Xing D, Zhao H, Xu R, Quinn Li QQ. 2008. Arabidopsis PCFS4, a homologue of yeast polyadenylation factor Pcf11p, regulates FCA alternative processing and promotes flowering time. The Plant Journal 54: 899–910. [DOI] [PubMed] [Google Scholar]
  73. Yu C-W, Chang K-Y, Wu K. 2016. Genome-wide analysis of gene regulatory networks of the FVE-HDA6-FLD complex in Arabidopsis. Frontiers in Plant Science 28: 555. [DOI] [PMC free article] [PubMed] [Google Scholar]
  74. Yu X, Michaels SD. 2010. The Arabidopsis Paf1c complex component CDC73 participates in the modification of FLOWERING LOCUS C chromatin. Plant Physiology 153: 1074–1084. [DOI] [PMC free article] [PubMed] [Google Scholar]
  75. Zhang H, Ransom C, Ludwig P, van Nocker S. 2003. Genetic analysis of early flowering mutants in Arabidopsis defines a class of pleiotropic developmental regulator required for expression of the flowering-time switch FLOWERING LOCUS C. Genetics 164: 347–358. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supplement Data

Articles from Annals of Botany are provided here courtesy of Oxford University Press

RESOURCES