Skip to main content
Frontiers in Plant Science logoLink to Frontiers in Plant Science
. 2018 Jul 31;9:1078. doi: 10.3389/fpls.2018.01078

The Functional Change and Deletion of FLC Homologs Contribute to the Evolution of Rapid Flowering in Boechera stricta

Cheng-Ruei Lee 1,2,3,*, Jo-Wei Hsieh 1, M E Schranz 4, Thomas Mitchell-Olds 5
PMCID: PMC6080596  PMID: 30108602

Abstract

Differences in the timing of vegetative-to-reproductive phase transition have evolved independently and repeatedly in different plant species. Due to their specific biological functions and positions in pathways, some genes are important targets of repeated evolution – independent mutations on these genes caused the evolution of similar phenotypes in distantly related organisms. While many studies have investigated these genes, it remains unclear how gene duplications influence repeated phenotypic evolution. Here we characterized the genetic architecture underlying a novel rapid-flowering phenotype in Boechera stricta and investigated the candidate genes BsFLC1 and BsFLC2. The expression patterns of BsFLC1 suggested its function in flowering time suppression, and the deletion of BsFLC1 is associated with rapid flowering and loss of vernalization requirement. In contrast, BsFLC2 did not appear to be associated with flowering and had accumulated multiple amino acid substitutions in the relatively short evolutionary timeframe after gene duplication. These non-synonymous substitutions greatly changed the physicochemical properties of the original amino acids, concentrated non-randomly near a protein-interacting domain, and had greater substitution rate than synonymous changes. Here we suggested that, after recent gene duplication of the FLC gene, the evolution of rapid phenology was made possible by the change of BsFLC2 expression pattern or protein sequences and the deletion of BsFLC1.

Keywords: Boechera stricta, FLOWERING LOCUS C (FLC), flowering time, gene duplication, repeated evolution

Introduction

Disentangling the genetic architecture underlying evolutionary changes is a critical task for evolutionary geneticists, and the evolution of parallel phenotypic changes is particularly intriguing. For example, did independent evolution of the same phenotypes occur through de novo genetic changes in the same pathway, the same gene, or even the same nucleotide? Martin and Orgogozo (2013) reviewed many cases of genetic changes underlying phenotypic differences and found more than 100 cases describing “genetic hotspots” under repeated evolution.

Repeated evolution through the same gene could happen in two ways: independent gain or loss of function in separate lineages. The latter should be more frequent than the former because independent gain-of-function events often require the same mutation on the same functional site. Independent loss-of-function events, on the other hand, can happen in many ways, such as point mutation creating a premature stop codon, large insertions disrupting a gene, deletions removing the whole gene or important functional sites, or gene disruption by structural rearrangements. Recent gene duplication adds another level of complexity to this question. After gene duplication, duplicated homologs might undergo neo-functionalization or sub-functionalization, which will facilitate the gain of new functions. For loss-of-function events to happen, many possibilities exist depending on how the genes were duplicated. For example, if duplicated copies retain their original function, such functional redundancy makes further loss-of-function evolution difficult. On the other hand, one mutation in the original copy can cause loss of function if the duplicated copy does not retain the original function. This can happen if (1) only a portion of the gene was duplicated, creating a truncated and non-functional new copy, (2) the duplication event did not cover important regulatory regions flanking the gene, making the new copy cease to express in the same tissue or time, or (3) the new copy was intact and had the same spatiotemporal patterns of expression but later underwent amino acid substitutions changing the protein function. Note that while possibility (1) and (2) indicate a genetic change caused by the duplication event itself, possibility (3) focuses on changes after the duplication.

The onset of flowering marks the transition from vegetative to reproductive phases of plants and is under strong natural selection (Anderson et al., 2011; Munguía-Rosas et al., 2011). In some Brassicaceae, the requirement for vernalization before flowering is polymorphic, with vernalization requirement as the ancestral state. In Arabidopsis thaliana, this is mainly controlled by the natural variation of two floral suppressor genes, FRIGIDA (FRI) and FLOWERING LOCUS C (FLC), whose loss- or decrease-of-function mutations cause rapid flowering without vernalization requirement (Michaels and Amasino, 1999; Gazzani et al., 2003; Michaels et al., 2003; Lempe et al., 2005; Shindo et al., 2005; Werner et al., 2005). In this species, this phenotype has independently evolved from different mutations in the same genes (Johanson et al., 2000; Le Corre et al., 2002; Gazzani et al., 2003; Michaels et al., 2003; Lempe et al., 2005; Shindo et al., 2005; Werner et al., 2005; Méndez-Vigo et al., 2011; Li et al., 2014), constituting a good example of repeated evolution through the same gene.

Here we investigate the evolution of rapid lifecycle in Boechera stricta (Brassicaceae), a perennial wild relative of Arabidopsis. We ask whether parallel loss of vernalization responsiveness in a rapid-flowering phenotype of B. stricta involved mutations in one or both FLC homologs derived from a recent duplication event. We identified the candidate gene and its duplicated homolog, investigated their effects and expression patterns, and showed that the duplicated copy may have lost its flowering-related functions, allowing the evolution of rapid life cycle through deletion of the original FLC copy.

Materials and Methods

Plant Material and Flowering Time Estimation

Boechera stricta is a short-lived and predominantly self-fertilizing perennial native to the Rocky Mountains in North America. It has two subspecies (Lee and Mitchell-Olds, 2011; Lee et al., 2017) differing in many life history traits, with the EAST subspecies flowering faster than the WEST subspecies under most greenhouse and vernalization conditions (Lee and Mitchell-Olds, 2013). Previously, a major QTL, nFT, containing the candidate flowering time gene FT, was identified controlling phenological traits and local fitness in various environments (Anderson et al., 2011, 2012, 2014). Further investigations showed that the two parental alleles are identical in coding sequences but different in expression (Lee et al., 2014). In this study we investigated natural variation in vernalization requirement, which has not been previously studied in this species.

From a sample of ∼250 B. stricta accessions from the Northern Rocky Mountains (Lee and Mitchell-Olds, 2011), we identified one accession with very rapid flowering time from the EAST subspecies (family number 24B from the Moonrise Ridge population from Idaho, 44° 39′ N, 114° 32′ W, hereafter MR24). In the absence of vernalization in the greenhouse a typical B. stricta plant did not flower until 4–6 months, whereas the MR24 accession flowered within 2 months. We chose 14 accessions from the Moonrise Ridge population and performed complete randomized block experiments in the greenhouse to characterize flowering phenology with or without vernalization. To minimize maternal effects, we used seeds from accessions that were grown in the greenhouse for at least one generation. The greenhouse experiment consisted of 14 accessions, with seven from the faster and seven from the slower phenology groups. Each block contained 84 individuals with six plants from each accession, where three individuals were assigned to vernalization and three to the non-vernalization treatment. A total of seven blocks (588 plants) were used in this experiment. Like A. thaliana, B. stricta is a naturally self-fertilizing species, and sibling plants of the same accession were treated as replicated genetic clones throughout this study. Seeds were stratified in 4°C for 4 weeks, and seedlings were grown in “cone-tainer” racks (Stuewe & Sons Inc., Tangent, OR, United States) in the same environment (16-h days and 20°C ambient temperature) described in Lee and Mitchell-Olds (2013). When 2-month old, plants in the vernalization treatment were moved to 4°C, 10-h days for 6 weeks, and plants in the non-vernalization treatment remained in the greenhouse. The vernalization treatments for all following experiments were performed under the same condition (4°C, 10-h days) to simulate field environments during late winter and early spring. Since such treatment changed both temperature and day length, we recognize the caveat that we may not be able to separate effects from the two factors on flowering. We recorded flowering time (days to first flower) and leaf number when flowering. For plants with vernalization, the duration under vernalization was subtracted from the estimation of flowering time, thus recording the number of days under warm conditions. The data were analyzed with mixed-effect ANOVA using days to first flowering or leaf number when first flowering as the response variable. Treatment (vernalization/non-vernalization) was used as fixed effect. Block, accession, and accession by treatment interaction were treated as random effects in JMP 8 (SAS, Cary, NC, United States).

Candidate Gene Profiling for Rapid Phenology

To identify candidate genes controlling the rapid phenology of MR24, we compared MR24 with a local accession (MR7A), whose flowering was significantly accelerated by vernalization. Using genomic DNA and cDNA from rosette leaves, we performed PCR and reverse transcription PCR (RT-PCR) on FLC, an important gene controlling the vernalization requirement in Arabidopsis (Michaels and Amasino, 1999; Sheldon et al., 2000; Shindo et al., 2005). All primer sequences are available in Supplementary Table S1. A previous study identified two FLC homologs in the Boechera genome (Schranz et al., 2007). This gene duplication is not due to polyploidy or tandem duplication, but rather by a transposition duplication (Lee et al., 2017). BsFLC1 locates in the ancestral syntenic position (Scaffold13175 on chromosome 6) with Arabidopsis FLC, while BsFLC2 was duplicated and transposed to Scaffold18351 on B. stricta chromosome 5. Based on this information, we designed copy-specific PCR primers for B. stricta FLC RT-PCR (BsFLC1: primer FLC-B and FLC1-C, BsFLC2: primer FLC-B and FLC2-C, Supplementary Table S1). To further investigate whether the lack of BsFLC1 PCR amplification is due to a missing BsFLC1 or mutations in primer binding sites, we used three forward primers conserved between BsFLC1 and BsFLC2 (FLC-B, FLC-F, FLC-G, Supplementary Table S1) and three BsFLC1-specific reverse primers (FLC1-C, FLC1-D, FLC1-E, Supplementary Table S1) to generate nine PCR amplicons for the genomic DNA of BsFLC1.

We further used Nanopore long-read sequencing technology to identify the extent of deletion. Genomic DNA of the MR24 accession was extracted using a modified CTAB protocol (Doyle and Doyle, 1987), and the library was made with the Nanopore Rapid Sequencing Kit (SQK-RAD004) and sequenced in one R9.4 flow cell. All library preparation and sequencing steps were performed according to standard Nanopore protocols. Resulting reads in fastq format were mapped to the B. stricta reference genome v1.2 (Lee et al., 2017) using GraphMap (Sović et al., 2016) and visualized with Integrative Genomics Viewer (Robinson et al., 2011). We designed primer pairs spanning the inferred chromosomal deletion and confirmed the deletion with PCR and Sanger sequencing.

Test of BsFLC1 Effects on Flowering Time

To test whether the lack of BsFLC1 co-segregated with rapid phenology in progeny of accession MR24, we performed a controlled cross between MR24 (with the BsFLC1 deletion) and MAH (with a functional BsFLC1 and requiring vernalization). From a self-fertilized hybrid F1 we obtained 1,000 F2 individuals. These seeds, along with 39 replicated individuals from each parental accession, were stratified in 4°C for 4 weeks, and seedlings were randomized and grown in the greenhouse without vernalization.

The presence or absence of the BsFLC1 PCR amplicon is a dominant marker in this cross (both MAH homozygotes and heterozygotes have visible BsFLC1 amplicon on agarose gel). We identified one polymorphic microsatellite co-dominant marker (marker JGI13175-36 at around 513 kb in Scaffold13175, 73 kb away from BsFLC1) and genotyped this marker in 384 F2 individuals for the effect of BsFLC1.

Comparing the Expression Patterns and Molecular Evolution of BsFLC Copies

To characterize the possibly differentiated functions between these two BsFLC copies, we first investigated the expression profiles of both BsFLC copies as well as FT and SOC1, two floral pathway integrator genes that are directly inhibited by FLC in Arabidopsis (Helliwell et al., 2006). Multiple individuals from two accessions (MAH with functional BsFLC1 and MR24 with BsFLC1 deletion) were used in the experiment. Seeds were stratified in 4°C for 4 weeks. Plants were randomized and grown in the greenhouse for 7 weeks and separated into two experimental groups, either with or without 6-week vernalization in 4°C under 10-h days. One of the target genes, FT, exhibits circadian rhythm in gene expression in Arabidopsis, and under 16-h days its maximum expression is in leaves in the end of daytime (Yanovsky and Kay, 2002; Cheng and Wang, 2005; Kim et al., 2008). In addition, FLC and SOC1 also express in Arabidopsis leaves (Lee and Lee, 2010). We therefore used leaf tissues collected around 22:00 h (the sunset of 16-h days in the greenhouse) for expression profiling. Young leaves from four individuals of each accession were collected from six time points (Supplementary Figure S1: BV – before vernalization, when plants were 7 weeks old; NV1 – no vernalization group 1, when plants were 9 weeks old, and MR24 flowered but MAH did not; NV2 – no vernalization group 2, when plants were 18 weeks old, and MR24 had mature and dehiscing siliques but MAH had first flowers; AV1 – after vernalization group 1, 1 week after vernalization when MR24 flowered but MAH did not; AV2 – after vernalization group 2, 3.5 weeks after vernalization when MR24 had flowers and fruits but MAH had only flowers; AV3 – after vernalization group 3, 6 weeks after vernalization when both accessions had only fruits). We used Sigma SpectrumTM Plant Total RNA Kit for RNA extraction and Thermo Scientific DyNAmo cDNA Synthesis Kit for cDNA synthesis, resulting in 47 separate samples (six time points with two accessions and four individual plants each, where one sample was lost during RNA extraction).

qPCR from cDNA was performed for five genes (BsFLC1, BsFLC2, FT, SOC1, ACT2), with ACT2 as the reference gene. For each sample, gene expression was estimated with the ΔCt method:

Relative expression to ACT2 = 2(CtACT2  CtGene),

where CtACT2 is the Ct value of ACT2, and CtGene is the Ct value of target genes (BsFLC1, BsFLC2, FT, or SOC1). Using expression relative to ACT2 as the response variable, statistical analyses (ANOVA) were conducted separately for each target gene, where genotype (MR24 or MAH), time point (BV, NV1, NV2, AV1, AV2, or AV3), and their interaction were treated as fixed effects in JMP 8 (SAS, Cary, NC, United States). To analyze the correlation of gene expression across the six time points, for each genotype separately, we further calculated the pairwise Spearman’s rank correlation coefficient ρ between the four target genes.

To characterize the evolutionary history of the two BsFLC copies, we cloned and sequenced their full-length coding sequences in B. stricta accessions MR24, MAH, and LTM (accession for the reference genome). The sequences were deposited in GenBank under the accession numbers MH166767MH166771. RNA was extracted with “Sigma SpectrumTM Plant Total RNA Kit” from rosette leaves, and cDNA was synthesized with “Life Technologies ThermoScriptTM RT-PCR System for First-Strand cDNA Synthesis.” cDNA was amplified with conserved primers for both FLC copies (FLC-H in 5′ UTR and FLC-I in 3′ UTR, Supplementary Table S1 and Supplementary Figure S2) and cloned in “Thermo Scientific CloneJET PCR Cloning Kit.” Full-length coding sequences of other Brassicaceae species were obtained from GenBank: Arabidopsis arenosa FLC1 (DQ167446) FLC2 (DQ167444), Arabidopsis halleri (AB465585), Arabidopsis suecica (DQ167447), Brassica napus FLC1 (AY036888) FLC2 (AY036889) FLC3 (AY036890) FLC4 (AY036891) FLC5 (AY036892), Brassica rapa (EF460819), Brassica oleracea (AY273161), Capsella rubella (JQ993010), Cardamine flexuosa (KC618318), Eutrema wasabi (HM639741), Sinapis alba (EF542803), Thellungiella halophila (AY957537), and Raphanus sativus (JX050205).

FLC coding sequences of Brassicaceae were examined in MEGA 4 (Tamura et al., 2007). A phylogenetic tree was reconstructed in MrBayes v3.1.2 (Ronquist and Huelsenbeck, 2003) with generalized time reversible model allowing invariable sites and gamma distribution for evolutionary rate difference among sites. Two independent runs were performed with eight chains. Trees were sampled every 1,000 generations, and the first 500 trees were discarded, leaving 1,500 trees for the tree topology summary. We only kept the tree topology and branch support from MrBayes (Rannala et al., 2012), and branch lengths were estimated with maximum likelihood in PAUP 4.0b10 (Swofford, 2003) with the same model described above.

Our results showed that the two BsFLC copies in B. stricta were generated by a gene duplication event after Boechera diverged from Arabidopsis and Capsella. We therefore used Arabidopsis FLC as the outgroup to analyze patterns of molecular evolution after BsFLC duplication. The ancestral sequence before gene duplication was reconstructed using PAML 4 (Yang, 2007), and synonymous and nonsynonymous substitutions were estimated with DnaSP v5 (Librado and Rozas, 2009). We further used PAML 4 to test three hypotheses: (1) Whether the dN/dS values are significantly different between BsFLC1 and BsFLC2 (using the branch model, where the dN/dS values for the two genes are the same in the null hypothesis but different in the alternative hypothesis); (2) Whether the dN/dS value for BsFLC2 is significantly higher than one, showing signs of positive selection (using the branch model, where the dN/dS value for BsFLC2 was restricted to one in the null hypothesis but unrestricted in the alternative hypothesis); and (3) Was there any codon site under strong positive selection on the BsFLC2 branch (the branch-site model, Zhang et al., 2005).

We used custom R scripts (R Core Team, 2014) to investigate whether amino acid substitutions accumulated on BsFLC2 after gene duplication occurred randomly on the protein or clustered in a specific functional domain. Among the total of 196 amino acids in this protein, we randomly draw nine “substitutions” (BsFLC2 accumulated nine substitutions after duplication) and recorded the number of substitutions inside the K-box domain. This procedure was repeated 1,000 times, and the observed value was compared with the distribution of 1,000 K-box-specific substitutions under the assumption that substitutions occurred randomly along the protein.

Results

High Genetic Variation for Phenology Within a Population

Accessions from the Moonrise Ridge population showed highly significant differences in their phenology and response to vernalization treatment. Specifically, treatment and accession-by-treatment interaction had highly significant effects on both flowering time and leaf number at first flower (Figure 1 and Table 1). Notably, while vernalization accelerated flowering in most accessions, the accession MR24 exhibited rapid flowering regardless of the vernalization treatment. This lack of vernalization requirement in MR24 is unusual in B. stricta, and we focused on the genetic mechanism underlying this trait.

FIGURE 1.

FIGURE 1

Phenology of accessions from the Moonrise Ridge population. (A) First flowering time in days after germination and (B) leaf number when first flowering. Each colored line represents one accession. One accession, MR24, has rapid flowering regardless of vernalization treatment.

Table 1.

Analysis of variance of phenology in the Moonrise Ridge population.

Flowering time
Leaf number when flowering
Factor (effect) Statistica P-value Statistic P-value
Vernalization (fixed) F1,13 = 54.71 <0.001 F1,13 = 18.47 <0.001
Accession (random) x21 = 1.01 0.315 x21 = 0.05 0.822
Accession Vernalization (random) x21 = 980.27 <0.001 x21 = 545.26 <0.001
Block (random) x21 = 0 1.000 x21 = 6.60 0.010

aSignificance of random effects was determined by likelihood ratio test between models with or without these effects. Subscript numbers after F denote the numerator and denominator degrees of freedom, and the subscript number after x2 denotes degrees of freedom for likelihood ratio test.

Candidate Gene Profiling Odentified BsFLC1 as Possible Causal Gene

Since the flowering of MR24 was not affected by vernalization, we investigated homologs for the candidate genes FLC (the key gene underlying the vernalization requirement in Arabidopsis) in the rapid-flowering MR24 and slow-flowering MR7A accessions. Previous work identified two FLC copies in Boechera (Schranz et al., 2007), and these two copies showed distinct patterns between MR24 and MR7A (Figure 2): while BsFLC2 is present and expressed in both accessions, the BsFLC1 locus was only amplified in the slow-flowering MR7A but not the rapid-flowering MR24 accession. To test whether this lack of BsFLC1 amplification in MR24 was due to deletion of BsFLC1 or mutation in primer binding sites, three forward and three reverse primers were used to amplify BsFLC1, and products from all nine primer combinations were successfully amplified in MR7A but not in MR24. We therefore conclude that BsFLC1 was lost in the rapid-flowering MR24 accession. FLC in Arabidopsis functions as a floral repressor and is suppressed by vernalization, and the lack of BsFLC1 in MR24 is consistent with its rapid-flowering phenotype regardless of vernalization treatment.

FIGURE 2.

FIGURE 2

Candidate gene profiling of two FLC copies. Labels for each gene (BsFLC1 or BsFLC2), accession (MR24 or MR7A), and PCR template (cDNA or genomic) are above each lane. RNA was extracted from leaves in the rosette stage grown in 16-h day greenhouse condition. Ladder band from top to bottom (kb): 10, 5, 3, 2, 1.2, 0.85, 0.5, 0.3, 0.1.

We used the Nanopore long-read sequencing technology to confirm and investigate the extent of this deletion. We identified three reads supporting the chromosomal deletion. Further PCR and Sanger sequencing from primer pairs spanning the deletion breakpoint confirmed this finding (Supplementary Figure S3). This deletion covers BsFLC1 and is about 19-kb long, ranging from 435.5 to 545.6 kb on Scaffold13175 of the reference genome. In addition, another upstream ∼9 kb deletion was identified by a long read (Supplementary Figure S3). This region might be an accession-specific insertion in the LTM reference genome, as we did not find this indel in the alignment between this long Nanopore read and the Boechera retrofracta (a sister species of B. stricta) assembly (Kliver et al., 2018).

The Effect of BsFLC1 on Flowering Time

To estimate the effect of the BsFLC1 deletion, flowering time was measured in 1,000 F2 plants (Supplementary Figure S4) from a cross between parents MR24 (with BsFLC1 deletion) and MAH (with functional BsFLC1), and 384 plants were genotyped for a microsatellite marker (JGI13175-36) ∼73 kb from BsFLC1 in the reference genome and ∼58 kb from the deletion in the MR24 genome. From the re-sequencing of 159 F6 recombinant inbred lines (Lee et al., 2017), no recombination event was observed between BsFLC1 and this microsatellite marker. The microsatellite had highly significant association with flowering time (Figure 3, P = 10-61), accounting for about 70% of phenotypic variation in the F2 plants, and the number of functional BsFLC1 alleles showed roughly additive effects on flowering time (Figure 3), consistent with other Brassicaceae species (Schranz et al., 2002). Our results are therefore consistent with the hypothesis that the BsFLC1 deletion is associated with the rapid phenology in MR24 accession.

FIGURE 3.

FIGURE 3

BsFLC1 deletion significantly accelerates flowering (P = 10-61) in 384 F2 individuals. Bars represent the mean and standard error of the days to first flower in three genotypes of a microsatellite marker 73 kb from BsFLC1. All three bars are significantly different under the Tukey’s Honest Significant Difference test.

Expression Patterns of BsFLC1, BsFLC2, FT, and SOC1

While the previous F2 linkage analysis showed the genomic region containing BsFLC1 deletion is strongly associated with rapid phenology, many genes exist in this genomic region. To find further support that BsFLC1 is associated with flowering time but BsFLC2 is not, we used qPCR to characterize the expression pattern of the two genes, as well as FT and SOC1, two floral pathway integrators that are directly inhibited by FLC in Arabidopsis (Helliwell et al., 2006). Replicated individuals from two parental accessions (MR24 and MAH) were sampled across six time points with or without vernalization (Supplementary Figure S1). Due to the deletion, BsFLC1 in MR24 had no qPCR signal (Figure 4A). Both genes have similar levels of expression during the rosette stage before vernalization. The expression of BsFLC1 in MAH associated strongly with plant stage: high expression in vegetative stage but low in reproductive stage (Figure 4A). In rosettes, BsFLC1 expression was suppressed by vernalization (Figure 4A from time point BV to AV1) and decreased through time even without vernalization treatment (Figure 4A from time point BV to NV1 to NV2). On the other hand, the expression pattern of BsFLC2 had no clear association with plant stages. In fact, the high expression of BsFLC2 in some reproductive stages suggested this gene did not retain the ancestral function to suppress flowering (Figure 4B). BsFLC2 was also suppressed by vernalization in either accessions with or without BsFLC1, although the magnitude of suppression is not as much as BsFLC1 (Figure 4B from time point BV to AV1).

FIGURE 4.

FIGURE 4

Expression patterns of four flowering-related genes (A) BsFLC1, (B) BsFLC2, (C) FT, and (D) SOC1. Shown are the means and standard errors of relative expression to reference gene ACT2 from two parental accessions and six time points. For each graph, the horizontal axis first separates the two accessions (MR24/MAH) then the six time points (BV to NV2: BV – before vernalization, 7-week plants. NV1 – no vernalization group 1, 9-week plants. NV2 – no vernalization group 2, 18-week plants; AV1 – after vernalization group 1, 1 week after vernalization; AV2 – after vernalization group 2, 3.5 weeks after vernalization; AV3 – after vernalization group 3, 6 weeks after vernalization. Detailed timeframe in Supplementary Figure S1). Capital letters above each bar represent the stage of experimental plants (R, rosette; FO, flowers only; FS, with flowers and siliques; SO, siliques only).

In the MAH accession with functional BsFLC1, the expression pattern of two downstream floral integrators, FT and SOC1, also associated strongly with plant stages (Figures 4C,D). Opposite to BsFLC1, both genes had higher expression during reproductive but lower expression in vegetative stages, although the pattern in FT was less clear due to its generally lower expression. In addition, the correlation between BsFLC1 and SOC1 expression was strongly negative across these six time points (Spearman’s ρ = -0.94, P = 0.005, Table 2). In the MR24 accession with BsFLC1 deletion, however, the association between FT or SOC1 and plant stage was disrupted (Figures 4C,D). BsFLC2 had no significant correlation with the two downstream genes in either MAH or MR24 (Table 2).

Table 2.

Pairwise correlation (Spearman’s ρ, with P-values in parentheses) between the expression patterns of four genes from six time points in two accessions (upper triangle, MAH; lower triangle, MR24, the accession without BsFLC1).

BsFLC1 0.43 (0.397) –0.43 (0.397) –0.94 (0.005)
BsFLC2 –0.71 (0.111) –0.66 (0.156)
–0.43 (0.397) FT 0.60 (0.208)
–0.26 (0.623) 0.66 (0.156) SOC1

In summary, BsFLC1 in B. stricta may have retained the ancestral flowering-related function: its expression has high association with the vegetative/reproductive plant stages, is reduced after vernalization treatments, and is correlated with downstream flowering genes. In contrast, BsFLC2 may have diverged in function, although its expression was still suppressed by vernalization.

Evolution of the Two FLC Copies After Gene Duplication

Phylogenetic reconstruction of FLC homologs across Brassicaceae showed clearly that the gene duplication event happened after the Boechera-Arabidopsis divergence (Figure 5). We therefore focused our analysis on BsFLC1 and BsFLC2 within Boechera, using Arabidopsis FLC as the outgroup. After duplication, BsFLC1 accumulated three substitutions (one synonymous and two non-synonymous) while BsFLC2 accumulated 10 substitutions (one synonymous, eight non-synonymous, and a three-codon deletion). Using all substitution types, Tajima’s relative rate test (Tajima, 1993) identified no strong evolutionary rate difference between the two copies (x21 = 3.769, P = 0.052). Considering only non-synonymous substitutions, the evolutionary rate of BsFLC2 is significantly higher than BsFLC1 (x21 = 4.455, P = 0.036). In addition, BsFLC2 accumulated more non-synonymous substitutions than BsFLC1, resulting in much higher dN:dS ratio (0.608 for BsFLC1 and 2.460 for BsFLC2, without considering the three-codon deletion in BsFLC2, Table 3). However, statistical tests using PAML showed that: (1) The dN:dS ratios do not differ significantly between BsFLC1 and BsFLC2 (P = 0.421); (2) The dN:dS ratio for BsFLC2 is not significantly different from 1.0 (P = 0.235); and (3) There is little evidence that specific codons on the BsFLC2 lineage were under positive selection (P = 0.236).

FIGURE 5.

FIGURE 5

Phylogenetic reconstruction of FLC coding sequences in Brassicaceae, showing that the gene duplication event creating BsFLC1 and BsFLC2 in Boechera stricta happened after the divergence between Boechera and Arabidopsis. The number above each internal branch represents posterior probability from Bayesian inference method. For sequences obtained from GenBank, accession numbers are labeled in front of species names.

Table 3.

Synonymous and non-synonymous substitutions in BsFLC1 and BsFLC after gene duplication.

Gene S differences S sites dS N differences N sites dN dN/dS
BsFLC1 1 134.33 0.0074 2 444.67 0.0045 0.6081
BsFLC2 1 134.50 0.0074 8 444.50 0.0182 2.4595

This table compares the difference between each gene and the ancestral sequence before gene duplication. Columns: S differences, number of synonymous differences; S sites, number of synonymous sites; dS, S differences/S sites; N differences, number of nonsynonymous differences; N sites, number of nonsynonymous sites; dN, N differences/N sites.

The distribution of amino acid substitutions after gene duplication is not random (Supplementary Figure S5). The two amino acid substitutions on BsFLC1 do not have an obvious spatial concentration. In contrast, all BsFLC2 changes are concentrated on or near the K-box domain. Assuming amino acid substitutions happened independently and randomly on BsFLC2, it is highly unlikely that eight out of nine amino acid changes would be located inside the K-box domain (P = 0.006), as only six out of one thousand resampling trials gave eight or more changes within the K-box domain. The types of amino acid substitutions also differed between the two BsFLC copies. While both BsFLC1 substitutions and most substitutions on BsFLC2 resulted in the change of amino acids with physicochemical distances less than 56 (Grantham, 1974), the BsFLC2 lineage contained three nearby amino acid substitutions that greatly altered the physicochemical properties on these positions (distance of 99, 109, and 98 for amino acid positions 116, 118, and 121, respectively, Supplementary Figure S5).

Discussion

Repeated Evolution of Flowering Time Variation Through Change of FLC

While phenotypic changes can be achieved by segregation and recombination of standing genetic variants, mutations play an important role in generating novel phenotypes. Novel mutations differ in size (from Mendelian to polygenes) and direction (from advantageous, neutral, to deleterious) of their effects (Orr, 2005; Eyre-Walker and Keightley, 2007). Due to their unique roles in development or positions in biochemical pathways, genes with large effect may often be the targets of repeated evolution for similar phenotypes (Martin and Orgogozo, 2013). The FLC gene constitutes one example. In addition to BsFLC1 in B. stricta, independent mutations in FLC homologs cause heritable variation in vernalization requirement of flowering time in other Brassicaceae species (Alonso-Blanco and Méndez-Vigo, 2014) such as A. thaliana (Michaels et al., 2003; Lempe et al., 2005; Shindo et al., 2005; Werner et al., 2005; Méndez-Vigo et al., 2011), Arabidopsis lyrata (Kemi et al., 2013), Arabis alpina (Wang et al., 2009; Albani et al., 2012), Capsella rubella (Guo et al., 2012; Yang et al., 2018), Brassica napus (Tadege et al., 2001), Brassica oleracea (Okazaki et al., 2007), and Brassica rapa (Schranz et al., 2002). Recently, ODDSOC2, the FLC/MAF ortholog in monocots, was also shown to be associated with the vernalization requirement of flowering in Brachypodium distachyon (Sharma et al., 2016).

Here we studied the genetic architecture of rapid phenology in B. stricta and investigated the two FLC homologs in B. stricta. We showed that the gene duplication event is specific to Boechera (Figure 5), and previous data have identified both FLC copies in multiple Boechera species (Schranz, unpublished data). BsFLC1 is the homolog of A. thaliana FLC in the syntenic region. This genomic region controls large variation in flowering time (Figure 3), and accessions with the BsFLC1 deletion (Figure 2 and Supplementary Figure S3) flowered rapidly regardless of vernalization treatment (Figure 1). We recognize that our vernalization treatment changed both temperature and photoperiod within biologically realistic limits, and there may be other genetic mechanisms affecting such response. In addition, the expression pattern of BsFLC1 is similar to other Brassicaceae plants and highly associated with plant vegetative/reproductive stages and the expression pattern of downstream flowering genes (Figure 4 and Table 2). In the annual plant A. thaliana, FLC expression is stably repressed epigenetically after vernalization and “reset” only during embryogenesis (Sheldon et al., 2008; Choi et al., 2009; Berry and Dean, 2015). In perennial plants such as Arabis alpina, expression of FLC is also repressed during but restored after vernalization, allowing plants to return to the vegetative stage (Wang et al., 2009; Kiefer et al., 2017). The expression pattern of BsFLC1 is similar to the latter, consistent with the perenniality of B. stricta. Our analyses suggest that after gene duplication, BsFLC1 likely retained the ancestral function to suppress flowering, and the evolution of rapid phenology in B. stricta accession MR24 happened through the deletion of BsFLC1.

Change of BsFLC2 Function Enables Evolution of Rapid Phenology Through BsFLC1 Deletion

The other gene, BsFLC2, is the unlinked and duplicated paralog. The mismatch between BsFLC2’s expression pattern and plant vegetative/reproductive stage, as well as its strong expression in the fast-flowering MR24 accession, suggest it does not retain the ancestral function to control flowering (Figure 4). As a result, one deletion event in BsFLC1 is enough to generate the loss-of-vernalization-requirement phenotype in MR24.

As to how or when BsFLC2 lost the flowering-related functions, there are several possibilities (Introduction). First, only part of the gene was duplicated, and BsFLC2 is a truncated non-functional gene. Our results show that BsFLC2 is likely to be functional given its intact and in-frame coding sequence, the conserved MADS-box domain (Supplementary Figure S5), the retention of several kbs of ancestral sequence upstream and downstream (Supplementary Figure S6), and the ability to be suppressed by vernalization.

Second, the duplication event may disrupt the upstream or downstream regulatory sequence, causing BsFLC2 to be expressed in completely different tissues or times, thereby altering the biological function of BsFLC1. We observe that the expression patterns between the two copies are qualitatively similar (Figure 4): both copies had similar levels of expression in young rosette leaves (where and when the flowering-suppression function happened) and were suppressed by vernalization. The duplication event therefore does not seem to dramatically change the expression pattern of BsFLC2. We note, however, that there are subtle differences between the two copies: BsFLC2 expression was not suppressed by vernalization as much as BsFLC1, and it was highly expressed during the flowering stage for plants without the vernalization treatment (Figure 4). Since the precise regulation of A. thaliana FLC requires non-coding regions within and flanking the gene (Michaels and Amasino, 1999; Swiezewski et al., 2009; Sun et al., 2013; Csorba et al., 2014), BsFLC2 might not retain enough ancestral regulatory sequences (Supplementary Figure S6). Therefore, it is possible that the duplication event may cause BsFLC2 to exhibit slightly different expression patterns than BsFLC1, although it remains unclear whether such difference was directly caused by or happened after the gene duplication event.

While the two previous possibilities concern the duplication event directly disrupting the coding sequence or regulatory region of BsFLC2, our results are also consistent with the third hypothesis: the coding and regulatory functions of BsFLC2 remained largely unaffected by the gene duplication event, and BsFLC2 diverged in protein function afterward. We observed protein sequence evolution in BsFLC2 that cannot be completely explained by neutral evolution following gene duplication. Depending on the methods used, we sometimes obtained mixed results regarding whether the evolutionary rate differs significantly between BsFLC1 and BsFLC2. It should be noted that these results might be in part due to the lack of statistical power, given the limited number of nucleotide substitutions after this very recent gene duplication event. In addition, these dN/dS-based methods ignored the three-codon deletion in BsFLC2, which removed three amino acids in a functionally important domain (below).

The FLC protein is a MIKC-type protein, consisting of the MADS (M-), intervening (I-), keratin-like (K-), and C-terminal (C-) domains (Theißen et al., 1996; Kaufmann et al., 2005). The major function of MADS-box is DNA-binding (Kaufmann et al., 2005), and in FLC this domain is associated with chromatin interactions of FT and SOC1 (Helliwell et al., 2006), two downstream floral pathway integrator genes. The other domains, especially the K-box domain, are associated with dimerization or protein-protein interaction (Kaufmann et al., 2005) and may be important to form the functional protein complex, as multiple FLC proteins were identified in the same multimeric protein complex (Helliwell et al., 2006). All amino acid substitutions in BsFLC2 are concentrated near the K-box (Supplementary Figure S5), suggesting that the BsFLC2 protein may have undergone functional change after gene duplication, interacting with other proteins.

In this study, we investigate the interplay between loss-of-function evolution and gene duplication. We show that BsFLC1 and BsFLC2 differ slightly in expression patterns, which might be caused either directly by the gene duplication event or by later mutations. More importantly, after gene duplication BsFLC2 accumulated amino acid substitutions in a speed higher than neutral evolution and in a region more concentrated than random expectation, suggesting directional selection driving its protein sequence evolution. We propose such changes alter protein functions, allowing a single deletion event encompassing BsFLC1 to create a novel loss-of-vernalization-requirement phenotype in the MR24 accession despite the continual expression of BsFLC2 in rosette leaves.

Data Accessibility

DNA sequences: GenBank MH166767-MH166771. DNA sequence alignment, phenotypic values, and qPCR results: uploaded as Supplementary Materials.

Author Contributions

C-RL, MS, and TM-O designed the study. C-RL and J-WH conducted experiments. C-RL analyzed data and wrote the manuscript with help from all authors.

Conflict of Interest Statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Acknowledgments

We are grateful to Computer and Information Networking Center, National Taiwan University for the support of high-performance computing facilities.

Footnotes

Funding. This work is supported by the Ministry of Science and Technology of Taiwan (105-2311-B-002-040-MY2 and 107-2636-B-002-004 to C-RL), the US National Institutes of Health (R01 GM086496 to TM-O), the US National Science Foundation (EF-0723447 to TM-O), and Netherlands Science Foundation (NWO) VIDI and Ecogenomics Grants to MS.

Supplementary Material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fpls.2018.01078/full#supplementary-material

References

  1. Albani M. C., Castaings L., Wötzel S., Mateos J. L., Wunder J., Wang R., et al. (2012). PEP1 of Arabis alpina is encoded by two overlapping genes that contribute to natural genetic variation in perennial flowering. PLoS Genet. 8:e1003130. 10.1371/journal.pgen.1003130 [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. Alonso-Blanco C., Méndez-Vigo B. (2014). Genetic architecture of naturally occurring quantitative traits in plants: an updated synthesis. Curr. Opin. Plant Biol. 18 37–43. 10.1016/j.pbi.2014.01.002 [DOI] [PubMed] [Google Scholar]
  3. Anderson J. T., Lee C.-R., Mitchell-Olds T. (2011). Life history QTLs and natural selection on flowering time in Boechera stricta, a perennial relative of Arabidopsis. Evolution 65 771–787. 10.1111/j.1558-5646.2010.01175.x [DOI] [PMC free article] [PubMed] [Google Scholar]
  4. Anderson J. T., Lee C.-R., Mitchell-Olds T. (2014). Strong selection genome-wide enhances fitness trade-offs across environments and episodes of selection. Evolution 68 16–31. 10.1111/evo.12259 [DOI] [PMC free article] [PubMed] [Google Scholar]
  5. Anderson J. T., Lee C.-R., Rushworth C., Colautti R. I., Mitchell-Olds T. (2012). Genetic tradeoffs and conditional neutrality contribute to local adaptation. Mol. Ecol. 22 699–708. 10.1111/j.1365-294X.2012.05522.x [DOI] [PMC free article] [PubMed] [Google Scholar]
  6. Berry S., Dean C. (2015). Environmental perception and epigenetic memory: mechanistic insight through FLC. Plant J. 83 133–148. 10.1111/tpj.12869 [DOI] [PMC free article] [PubMed] [Google Scholar]
  7. Cheng X. F., Wang Z. Y. (2005). Overexpression of COL9, a CONSTANS-LIKE gene, delays flowering by reducing expression of CO and FT in Arabidopsis thaliana. Plant J. 43 758–768. 10.1111/j.1365-313X.2005.02491.x [DOI] [PubMed] [Google Scholar]
  8. Choi J., Hyun Y., Kang M. J., In Yun H., Yun J. Y., Lister C., et al. (2009). Resetting and regulation of FLOWERING LOCUS C expression during Arabidopsis reproductive development. Plant J. 57 918–931. 10.1111/j.1365-313X.2008.03776.x [DOI] [PubMed] [Google Scholar]
  9. Csorba T., Questa J. I., Sun Q., Dean C. (2014). Antisense COOLAIR mediates the coordinated switching of chromatin states at FLC during vernalization. Proc. Natl. Acad. Sci. U.S.A. 111 16160–16165. 10.1073/pnas.1419030111 [DOI] [PMC free article] [PubMed] [Google Scholar]
  10. Doyle J. J., Doyle J. L. (1987). A rapid isolation procedure for small DNA quantities of fresh leaf tissues. Phytochem. Bull. 19 11–15. [Google Scholar]
  11. Eyre-Walker A., Keightley P. D. (2007). The distribution of fitness effects of new mutations. Nat. Rev. Genet. 8:610. 10.1038/nrg2146 [DOI] [PubMed] [Google Scholar]
  12. Gazzani S., Gendall A. R., Lister C., Dean C. (2003). Analysis of the molecular basis of flowering time variation in Arabidopsis accessions. Plant Physiol. 132 1107–1114. 10.1104/pp.103.021212 [DOI] [PMC free article] [PubMed] [Google Scholar]
  13. Grantham R. (1974). Amino acid difference formula to help explain protein evolution. Science 185 862–864. 10.1126/science.185.4154.862 [DOI] [PubMed] [Google Scholar]
  14. Guo Y.-L., Todesco M., Hagmann J., Das S., Weigel D. (2012). Independent FLC mutations as causes of flowering-time variation in Arabidopsis thaliana and Capsella rubella. Genetics 192 729–739. 10.1534/genetics.112.143958 [DOI] [PMC free article] [PubMed] [Google Scholar]
  15. Helliwell C. A., Wood C. C., Robertson M., James Peacock W., Dennis E. S. (2006). The Arabidopsis FLC protein interacts directly in vivo with SOC1 and FT chromatin and is part of a high-molecular-weight protein complex. Plant J. 46 183–192. 10.1111/j.1365-313X.2006.02686.x [DOI] [PubMed] [Google Scholar]
  16. Johanson U., West J., Lister C., Michaels S., Amasino R., Dean C. (2000). Molecular analysis of FRIGIDA, a major determinant of natural variation in Arabidopsis flowering time. Science 290 344–347. 10.1126/science.290.5490.344 [DOI] [PubMed] [Google Scholar]
  17. Kaufmann K., Melzer R., Theißen G. (2005). MIKC-type MADS-domain proteins: structural modularity, protein interactions and network evolution in land plants. Gene 347 183–198. 10.1016/j.gene.2004.12.014 [DOI] [PubMed] [Google Scholar]
  18. Kemi U., Niittyvuopio A., Toivainen T., Pasanen A., Quilot-Turion B., Holm K., et al. (2013). Role of vernalization and of duplicated FLOWERING LOCUS C in the perennial Arabidopsis lyrata. New Phytol. 197 323–335. 10.1111/j.1469-8137.2012.04378.x [DOI] [PubMed] [Google Scholar]
  19. Kiefer C., Severing E., Karl R., Bergonzi S., Koch M., Tresch A., et al. (2017). Divergence of annual and perennial species in the Brassicaceae and the contribution of cis-acting variation at FLC orthologues. Mol. Ecol. 26 3437–3457. 10.1111/mec.14084 [DOI] [PMC free article] [PubMed] [Google Scholar]
  20. Kim S. Y., Yu X., Michaels S. D. (2008). Regulation of CONSTANS and FLOWERING LOCUS T expression in response to changing light quality. Plant Physiol. 148 269–279. 10.1104/pp.108.122606 [DOI] [PMC free article] [PubMed] [Google Scholar]
  21. Kliver S., Rayko M., Komissarov A., Bakin E., Zhernakova D., Prasad K., et al. (2018). Assembly of the Boechera retrofracta genome and evolutionary analysis of apomixis-associated genes. Genes 9:185. 10.3390/genes9040185 [DOI] [PMC free article] [PubMed] [Google Scholar]
  22. Le Corre V., Roux F., Reboud X. (2002). DNA polymorphism at the FRIGIDA gene in Arabidopsis thaliana: extensive nonsynonymous variation is consistent with local selection for flowering time. Mol. Biol. Evol. 19 1261–1271. 10.1093/oxfordjournals.molbev.a004187 [DOI] [PubMed] [Google Scholar]
  23. Lee C. R., Anderson J. T., Mitchell-Olds T. (2014). Unifying genetic canalization, genetic constraint, and genotype-by-environment interaction: QTL by genomic background by environment interaction of flowering time in Boechera stricta. PLoS Genet. 10:e1004727. 10.1371/journal.pgen.1004727 [DOI] [PMC free article] [PubMed] [Google Scholar]
  24. Lee C.-R., Mitchell-Olds T. (2011). Quantifying effects of environmental and geographical factors on patterns of genetic differentiation. Mol. Ecol. 20 4631–4642. 10.1111/j.1365-294X.2011.05310.x [DOI] [PMC free article] [PubMed] [Google Scholar]
  25. Lee C.-R., Mitchell-Olds T. (2013). Complex trait divergence contributes to environmental niche differentiation in ecological speciation of Boechera stricta. Mol. Ecol. 22 2204–2217. 10.1111/mec.12250 [DOI] [PMC free article] [PubMed] [Google Scholar]
  26. Lee C.-R., Wang B., Mojica J. P., Mandáková T., Prasad K. V., Goicoechea J. L., et al. (2017). Young inversion with multiple linked QTLs under selection in a hybrid zone. Nat. Ecol. Evol. 1:0119. [DOI] [PMC free article] [PubMed] [Google Scholar]
  27. Lee J., Lee I. (2010). Regulation and function of SOC1, a flowering pathway integrator. J. Exp. Bot. 61 2247–2254. 10.1093/jxb/erq098 [DOI] [PubMed] [Google Scholar]
  28. Lempe J., Balasubramanian S., Sureshkumar S., Singh A., Schmid M., Weigel D., et al. (2005). Diversity of flowering responses in wild Arabidopsis thaliana strains. PLoS Genet.1:e6. 10.1371/journal.pgen.0010006 [DOI] [PMC free article] [PubMed] [Google Scholar]
  29. Li P., Filiault D., Box M. S., Kerdaffrec E., van Oosterhout C., Wilczek A. M., et al. (2014). Multiple FLC haplotypes defined by independent cis-regulatory variation underpin life history diversity in Arabidopsis thaliana. Genes Dev. 28 1635–1640. 10.1101/gad.245993.114 [DOI] [PMC free article] [PubMed] [Google Scholar]
  30. Librado P., Rozas J. (2009). DnaSP v5: a software for comprehensive analysis of DNA polymorphism data. Bioinformatics 25 1451–1452. 10.1093/bioinformatics/btp187 [DOI] [PubMed] [Google Scholar]
  31. Martin A., Orgogozo V. (2013). The loci of repeated evolution: a catalog of genetic hotspots of phenotypic variation. Evolution 67 1235–1250. 10.1111/evo.12081 [DOI] [PubMed] [Google Scholar]
  32. Méndez-Vigo B., Picó F. X., Ramiro M., Martínez-Zapater J. M., Alonso-Blanco C. (2011). Altitudinal and climatic adaptation is mediated by flowering traits and FRI. FLC, and PHYC genes in Arabidopsis. Plant Physiol. 157 1942–1955. 10.1104/pp.111.183426 [DOI] [PMC free article] [PubMed] [Google Scholar]
  33. Michaels S. D., Amasino R. M. (1999). FLOWERING LOCUS C encodes a novel MADS domain protein that acts as a repressor of flowering. Plant Cell 11 949–956. 10.1105/tpc.11.5.949 [DOI] [PMC free article] [PubMed] [Google Scholar]
  34. Michaels S. D., He Y., Scortecci K. C., Amasino R. M. (2003). Attenuation of FLOWERING LOCUS C activity as a mechanism for the evolution of summer-annual flowering behavior in Arabidopsis. Proc. Natl. Acad. Sci. U.S.A. 100 10102–10107. 10.1073/pnas.1531467100 [DOI] [PMC free article] [PubMed] [Google Scholar]
  35. Munguía-Rosas M. A., Ollerton J., Parra-Tabla V., De-Nova J. A. (2011). Meta-analysis of phenotypic selection on flowering phenology suggests that early flowering plants are favoured. Ecol. Lett. 14 511–521. 10.1111/j.1461-0248.2011.01601.x [DOI] [PubMed] [Google Scholar]
  36. Okazaki K., Sakamoto K., Kikuchi R., Saito A., Togashi E., Kuginuki Y., et al. (2007). Mapping and characterization of FLC homologs and QTL analysis of flowering time in Brassica oleracea. Theor. Appl. Genet. 114:595. 10.1007/s00122-006-0460-6 [DOI] [PubMed] [Google Scholar]
  37. Orr H. A. (2005). The genetic theory of adaptation: a brief history. Nat. Rev. Genet. 6 119–127. 10.1038/nrg1523 [DOI] [PubMed] [Google Scholar]
  38. R Core Team (2014). R: A Language and Environment for Statistical Computing. Vienna: R Foundation for Statistical Computing; Available at: http://www.R-project.org/ [Google Scholar]
  39. Rannala B., Zhu T., Yang Z. (2012). Tail paradox, partial identifiability, and influential priors in Bayesian branch length inference. Mol. Biol. Evol. 29 325–335. 10.1093/molbev/msr210 [DOI] [PubMed] [Google Scholar]
  40. Robinson J. T., Thorvaldsdóttir H., Winckler W., Guttman M., Lander E. S., Getz G., et al. (2011). Integrative genomics viewer. Nat. Biotechnol. 29 24–26. 10.1038/nbt.1754 [DOI] [PMC free article] [PubMed] [Google Scholar]
  41. Ronquist F., Huelsenbeck J. P. (2003). MrBayes 3: Bayesian phylogenetic inference under mixed models. Bioinformatics 19 1572–1574. 10.1093/bioinformatics/btg180 [DOI] [PubMed] [Google Scholar]
  42. Schranz M. E., Quijada P., Sung S.-B., Lukens L., Amasino R., Osborn T. C. (2002). Characterization and effects of the replicated flowering time gene FLC in Brassica rapa. Genetics 162 1457–1468. [DOI] [PMC free article] [PubMed] [Google Scholar]
  43. Schranz M. E., Windsor A. J., Song B.-H., Lawton-Rauh A., Mitchell-Olds T. (2007). Comparative genetic mapping in Boechera stricta, a close relative of Arabidopsis. Plant Physiol. 144 286–298. 10.1104/pp.107.096685 [DOI] [PMC free article] [PubMed] [Google Scholar]
  44. Sharma N., Ruelens P., Dhauw M., Maggen T., Dochy N., Torfs S., et al. (2016). A Flowering locus C homolog is a vernalization-regulated repressor in Brachypodium and is cold-regulated in wheat. Plant Physiol. 173 1301–1315. 10.1104/pp.16.01161 [DOI] [PMC free article] [PubMed] [Google Scholar]
  45. Sheldon C. C., Finnegan E. J., Rouse D. T., Tadege M., Bagnall D. J., Helliwell C. A., et al. (2000). The control of flowering by vernalization. Curr. Opin. Plant Biol. 3 418–422. 10.1016/S1369-5266(00)00106-0 [DOI] [PubMed] [Google Scholar]
  46. Sheldon C. C., Hills M. J., Lister C., Dean C., Dennis E. S., Peacock W. J. (2008). Resetting of FLOWERING LOCUS C expression after epigenetic repression by vernalization. Proc. Natl. Acad. Sci. U.S.A. 12 2214–2219. 10.1073/pnas.0711453105 [DOI] [PMC free article] [PubMed] [Google Scholar]
  47. Shindo C., Aranzana M. J., Lister C., Baxter C., Nicholls C., Nordborg M., et al. (2005). Role of FRIGIDA and FLOWERING LOCUS C in determining variation in flowering time of Arabidopsis. Plant Physiol. 138 1163–1173. 10.1104/pp.105.061309 [DOI] [PMC free article] [PubMed] [Google Scholar]
  48. Sović I., Šikić M., Wilm A., Fenlon S. N., Chen S., Nagarajan N. (2016). Fast and sensitive mapping of nanopore sequencing reads with GraphMap. Nat. Commun. 7:11307. 10.1038/ncomms11307 [DOI] [PMC free article] [PubMed] [Google Scholar]
  49. Sun Q., Csorba T., Skourti-Stathaki K., Proudfoot N. J., Dean C. (2013). R-loop stabilization represses antisense transcription at the Arabidopsis FLC locus. Science 340 619–621. 10.1126/science.1234848 [DOI] [PMC free article] [PubMed] [Google Scholar]
  50. Swiezewski S., Liu F., Magusin A., Dean C. (2009). Cold-induced silencing by long antisense transcripts of an Arabidopsis polycomb target. Nature 462:799. 10.1038/nature08618 [DOI] [PubMed] [Google Scholar]
  51. Swofford D. L. (2003). PAUP∗: Phylogenetic Analysis Using Parsimony (∗and other methods). Sunderland, MA: Sinauer Associates. [Google Scholar]
  52. Tadege M., Sheldon C. C., Helliwell C. A., Stoutjesdijk P., Dennis E. S., Peacock W. J. (2001). Control of flowering time by FLC orthologues in Brassica napus. Plant J. 28 545–553. 10.1046/j.1365-313X.2001.01182.x [DOI] [PubMed] [Google Scholar]
  53. Tajima F. (1993). Simple methods for testing the molecular evolutionary clock hypothesis. Genetics 135 599–607. [DOI] [PMC free article] [PubMed] [Google Scholar]
  54. Tamura K., Dudley J., Nei M., Kumar S. (2007). MEGA4: molecular evolutionary genetics analysis (MEGA) Software Version 4.0. Mol. Biol. Evol. 24 1596–1599. 10.1093/molbev/msm092 [DOI] [PubMed] [Google Scholar]
  55. Theißen G., Kim J. T., Saedler H. (1996). Classification and phylogeny of the MADS-box multigene family suggest defined roles of MADS-box gene subfamilies in the morphological evolution of eukaryotes. J. Mol. Evol. 43 484–516. 10.1007/BF02337521 [DOI] [PubMed] [Google Scholar]
  56. Wang R., Farrona S., Vincent C., Joecker A., Schoof H., Turck F., et al. (2009). PEP1 regulates perennial flowering in Arabis alpina. Nature 459 423–427. 10.1038/nature07988 [DOI] [PubMed] [Google Scholar]
  57. Werner J. D., Borevitz J. O., Uhlenhaut N. H., Ecker J. R., Chory J., Weigel D. (2005). FRIGIDA-independent variation in flowering time of natural Arabidopsis thaliana accessions. Genetics 170 1197–1207. 10.1534/genetics.104.036533 [DOI] [PMC free article] [PubMed] [Google Scholar]
  58. Yang L., Wang H.-N., Hou X.-H., Zou Y.-P., Han T.-S., Niu X.-M., et al. (2018). Parallel evolution of common allelic variants confers flowering diversity in Capsella rubella. Plant Cell 10.1105/tpc.18.00124 [Epub ahead of print]. [DOI] [PMC free article] [PubMed] [Google Scholar]
  59. Yang Z. (2007). PAML 4: phylogenetic analysis by maximum likelihood. Mol. Biol. Evol. 24 1586–1591. 10.1093/molbev/msm088 [DOI] [PubMed] [Google Scholar]
  60. Yanovsky M. J., Kay S. A. (2002). Molecular basis of seasonal time measurement in Arabidopsis. Nature 419 308–312. 10.1038/nature00996 [DOI] [PubMed] [Google Scholar]
  61. Zhang J., Nielsen R., Yang Z. (2005). Evaluation of an improved branch-site likelihood method for detecting positive selection at the molecular level. Mol. Biol. Evol. 22 2472–2479. 10.1093/molbev/msi2372 [DOI] [PubMed] [Google Scholar]

Associated Data

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

Supplementary Materials

Data Availability Statement

DNA sequences: GenBank MH166767-MH166771. DNA sequence alignment, phenotypic values, and qPCR results: uploaded as Supplementary Materials.


Articles from Frontiers in Plant Science are provided here courtesy of Frontiers Media SA

RESOURCES