The timing of flowering initiation is a fundamental trait for the adaptation of annual plants to different environments. Large amounts of intraspecific quantitative variation have been described for it among natural accessions of many species, but the molecular and evolutionary mechanisms underlying this genetic variation are mainly being determined in the model plant Arabidopsis thaliana. To find novel A. thaliana flowering QTL, we developed introgression lines from the Japanese accession Fuk, which was selected based on the substantial transgression observed in an F2 population with the reference strain Ler. Analysis of an early flowering line carrying a single Fuk introgression identified Flowering Arabidopsis QTL1 (FAQ1). We fine-mapped FAQ1 in an 11 kb genomic region containing the MADS transcription factor gene SHORT VEGETATIVE PHASE (SVP). Complementation of the early flowering phenotype of FAQ1-Fuk with a SVP-Ler transgen demonstrated that FAQ1 is SVP. We further proved by directed mutagenesis and transgenesis that a single amino acid substitution in SVP causes the loss-of-function and early flowering of Fuk allele. Analysis of a worldwide collection of accessions detected FAQ1/SVP-Fuk allele only in Asia, with the highest frequency appearing in Japan, where we could also detect a potential ancestral genotype of FAQ1/SVP-Fuk. In addition, we evaluated allelic and epistatic interactions of SVP natural alleles by analysing more than one hundred transgenic lines carrying Ler or Fuk SVP alleles in five genetic backgrounds. Quantitative analyses of these lines showed that FAQ1/SVP effects vary from large to small depending on the genetic background. These results support that the flowering repressor SVP has been recently selected in A. thaliana as a target for early flowering, and evidence the relevance of genetic interactions for the intraspecific evolution of FAQ1/SVP and flowering time.
In many plant species, the timing of flowering initiation shows abundant quantitative variation among natural varieties, which reflects the importance of this trait for adaptation to different environments. Currently, a major goal in plant biology is to determine the molecular and evolutionary bases of this natural genetic variation. In this study we demonstrate that the central flowering regulator SHORT VEGETATIVE PHASE (SVP), encoding a MADS transcription factor, is involved in the flowering natural variation of the model organism Arabidopsis thaliana. In particular, we prove that a structural change caused by a single amino acid substitution generates a SVP early flowering allele that is distributed only in Asia. Furthermore, genetic interactions have been shown to be a component of the natural variation for many important adaptive traits. However, very few studies, either in animals or plants, have systematically addressed the extent of genetic interactions among specific alleles responsible for the natural variation of complex traits. Our study shows that the flowering effects of SVP natural alleles depend significantly on the genetic background; and, subsequently, we demonstrate the relevance of epistasis for the evolution of this crucial transcription factor and flowering time.
Citation: Méndez-Vigo B, Martínez-Zapater JM, Alonso-Blanco C (2013) The Flowering Repressor SVP Underlies a Novel Arabidopsis thaliana QTL Interacting with the Genetic Background. PLoS Genet 9(1): e1003289. https://doi.org/10.1371/journal.pgen.1003289
Editor: Julin N. Maloof, University of California Davis, United States of America
Received: October 11, 2012; Accepted: December 15, 2012; Published: January 31, 2013
Copyright: © 2013 Méndez-Vigo et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Funding: This work was funded by grants BIO2010-15022 and TRANSPLANTA CSD-2007-00057 from the Ministerio de Ciencia and Innovación of Spain to CA-B. BM-V was funded by a salary fellowship from the FICYT (Principado de Asturias, Spain). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Competing interests: The authors have declared that no competing interests exist.
Flowering initiation is an essential developmental transition in plant life because it determines the timing of sexual reproduction. This transition is regulated by different environmental signals that synchronize reproduction with the most favourable season for seed production. Hence, the timing of flowering is a crucial adaptive trait in annual plants, since it will affect their survival and reproductive yield . Supporting this relevance, considerable intraspecific quantitative variation has been classically described for flowering time among natural accessions or crop varieties for many annuals, which is presumed to reflect adaptation to local environments , . In the past fifteen years there has been an unprecedented advance in our understanding of the molecular mechanisms of flowering regulation, mostly achieved by genetic studies of artificially induced mutants in the model plant Arabidopsis thaliana . More than 100 flowering genes have been identified whose analyses are defining a complex regulatory network that involves several flowering pathways integrating different environmental signals. This network includes, among others, the photoperiod, the vernalization and the autonomous pathways, as well as various regulatory genes that play a role as pathway integrators, such as FT and SOC1 –. Presently, a major aim in plant biology is to decipher the molecular and evolutionary bases of the naturally-existing genetic variation, for which A. thaliana has also become a promising model species , –.
A. thaliana is broadly distributed as a native species in Eurasia, whereas it has been later introduced in North America and Japan, as well as in Australia and South America (reviewed in ). The large amount of natural genetic variation that has been described for flowering time is likely involved in adaptation to the contrasting climates that are covered by A. thaliana geographic distribution because this variation has been associated with latitude, altitude and climatic factors –. A. thaliana accessions have been qualitatively classified for long time as winter- or summer-annuals depending on their extreme late or early flowering behaviours and their high or low response to vernalization, respectively . Mendelian genetic analyses identified two flowering repressors, FRI and FLC, as major determinants of such qualitative flowering differences , . In addition, numerous quantitative trait locus (QTL) analyses have been carried out with different sorts of experimental mapping populations including F2 families , recombinant inbred lines (RILs) –, introgression lines (ILs) , , advanced multiparent populations , , or collections of accessions ,  grown in distinct environments. Each population detected between two and 13 QTL, which together correspond to, at least, 20 different genomic regions , . Overall, these studies identified a few large effect QTL per population and a similar or higher number of small effect loci, thus showing the contribution of both extreme kinds of loci to the quantitative flowering time variation. Furthermore, despite the limitations to find genetic interactions among QTL (epistasis), owing to the low-order (two-way) level and small population sizes that can be tested, several analyses have detected a considerable number of significant interactions , , , , which indicates that epistasis is also an important genetic component of flowering time variation . Even so, until now, only the well documented genetic interactions between FRI and FLC have been confirmed at the level of specific natural flowering alleles and described in terms of genetic networks , , . Understanding the functional bases of genetic interactions among the specific alleles responsible for the natural variation of complex traits goes nowadays beyond the classical distinction between Fisher's and Wright's models of evolution  because epistasis lies below the networks currently pursued by system biology approaches , . Therefore, functional studies addressing epistasis among natural alleles are required to determine its extent on flowering time variation and its consequences on the estimates of flowering QTL effects.
As a first step to understand the molecular mechanisms accounting for the natural quantitative variation for flowering time, multiple laboratories are pursuing the isolation of genes underlying A. thaliana QTL and the identification of nucleotide polymorphisms affecting the function of those genes. By using combinations of different functional approaches, twelve genes have been identified as large effect flowering QTL. These include the photoreceptor genes CRY2, PhyC and PhyD; the MADS transcription factor genes FLC, FLM and MAF2; FRIGIDA (FRI) and the FRI-like genes, FRL1 and FRL2, encoding homologous proteins with unknown cellular function; the RNA processing gene HUA2; the circadian rhythm gene ELF3, and the florigen encoding gene FT (reviewed in ,  and , , . Detailed analyses of these genes have found indels or premature stop codons causing loss-of-function alleles, as well as amino acid substitutions and other structural modifications leading to functional changes , , . In addition, several cis-regulatory polymorphisms have been demonstrated to alter gene expression levels , . Interestingly, numerous series of independent loss-of-function alleles have been described for FRI and FLC , , , , –, which support that late flowering is the ancestral A. thaliana state but a shift towards early flowering life cycle has recently occurred at the species level , .
In this study, we aim to determine the molecular basis of a novel A. thaliana flowering QTL named as FAQ1, which we identified in introgression lines developed by phenotypic selection from the Japanese accession Fukuyama (Fuk) and the reference strain Landsberg erecta (Ler). Complementation in transgenic lines and directed mutagenesis demonstrated that a single amino acid substitution in the MADS-box gene SHORT VEGETATIVE PHASE (SVP) causes the early flowering of FAQ1 allele present in Fuk accession. We further address the biogeography of SVP allelic variation showing that this is regionally structured because FAQ1/SVP-Fuk allele appeared confined to Asia and, most likely, it originated in Japan. In addition, we aim to quantify the extent of genetic interactions involving natural SVP alleles by developing and characterizing transgenic lines for Fuk and Ler SVP alleles in five genetic backgrounds. These analyses show that FAQ1/SVP flowering effects vary from small to large depending on the genetic background, hence revealing the significant contribution of epistasis to the evolution of the flowering time variation mediated by FAQ1/SVP.
FAQ1 is a novel flowering QTL affecting the photoperiod response
In order to uncover natural genetic variation for flowering initiation that is not detected by direct phenotypic comparisons of wild accessions, we quantified transgressive segregation in F2 populations derived from crosses between several accessions and the reference strain Landsberg erecta (Ler). Using this approach we selected the genotype Fukuyama (Fuk) because 36% of the F2 individuals showed transgressive flowering times that duplicate the phenotypic variation observed between both parents (Figure 1A). To identify the loci responsible for this variation we developed introgression lines by phenotypic selection for flowering time during four backcross generations (see Materials and Methods). Two early flowering lines, IL-2 and IL-FAQ1, carrying single Fuk introgressions from chromosome 2 (of ∼9 and ∼2 Mb, respectively) in an otherwise Ler genetic background, were characterized for their flowering behaviour (Figure 1B). On average, the two lines flowered two days earlier and with two leaves fewer than Ler under long-day (LD) photoperiod. In contrast, under short-day (SD), both ILs flowered 21 days earlier and with 28 leaves less than the reference strain, which indicates that, similar to Fuk accession, these lines have a reduced response to photoperiod (Figure 1B). F1 hybrids derived from Ler and the ILs showed towards-early intermediate flowering phenotypes suggesting incomplete dominance (Table S1). Thus, we identified a new large effect locus contributing to the natural variation for flowering initiation and its photoperiodic response, which was named as Flowering Arabidopsis QTL1 (FAQ1).
A) Frequency distribution of flowering time in an F2 (Ler×Fuk) population. Arrows and horizontal bars indicate the mean and range of variation of parental accessions. B) Flowering behaviour of ILs carrying FAQ1-Fuk alleles, grown under long-day and short-day photoperiods. Bars correspond to mean ± SE of 10–18 plants. Graphical genotypes are shown below the bars. In the lower panel, representative Ler and IL-FAQ1 plants photographed 24 days (for long-day) or 51 days (for short-day) after germination, are shown. C) Fine mapping of FAQ1 showing the location and number of recombination events found in the 5976 gametes analysed along the BAC contig.
SVP is the gene underlying FAQ1
Fine mapping using an F2 (Ler×IL-2) population of 2988 individuals located FAQ1 within a genomic interval of 11 kb where Col reference genome sequence contains only two open reading frames (Figure 1C). One of them, At2g22540, corresponded to the previously known flowering gene SHORT VEGETATIVE PHASE (SVP) encoding a MADS-box transcription factor . To test if SVP might be FAQ1, we generated two SVP genomic constructs corresponding to Ler and Fuk SVP alleles, and used them to transform plants of the early flowering line IL-FAQ1 (Figure 2A and 2B). Homozygous transgenic lines carrying SVP-Fuk transgene did not differ in their flowering behaviour from IL-FAQ1 indicating that this allele, in this genetic background, has no effect on flowering initiation. By contrast, most transgenic lines for SVP-Ler flowered significantly later than control plants, under SD and/or LD photoperiods (Figure 2A and 2B). Since SVP-Ler, but not SVP-Fuk, transgenes largely complemented the early flowering and the reduced photoperiod response of IL-FAQ1, it was concluded that SVP underlies FAQ1.
Leaf number of independent homozygous T3 transgenic lines carrying parental (A, B, F and G) or chimerical (D, E, H and I) SVP genomic constructs in IL-FAQ1 (A, B, D and E) or Ler (F–I) genetic backgrounds. Lines were grown under long-day (LD) (A, D, F and H) or short-day (SD) (B, E, G, and I) photoperiods. C) Nucleotide polymorphisms found between SVP genomic sequences of Ler and Fuk. Parental and chimerical SVP transgenes derived from Fuk (red colour) and Ler (green colour) are depicted in the upper part of each panel. Bars are means ± SE of 10–15 plants per line. Mean ± SE of all lines carrying the same transgene are shown above the bars. Dashed lines delimit the 95% confidence intervals of the leaf number observed in untransformed IL-FAQ1 (red colour) and Ler (green colour) control lines, as established by Bonferroni tests.
A single amino acid substitution is the SVP/FAQ1 causal polymorphism
Sequencing of SVP in the parental accessions identified 50 single nucleotide polymorphisms (SNPs) and small indel polymorphisms differing between Ler and Fuk (Figure 2C). Most polymorphisms were detected in non-coding genomic regions and only one non-synonymous SNP was found, which was located in the middle of the MADS domain. This mutation is predicted to change Ler Ala32 to Fuk Val32, Ala32 appearing conserved in all SVP-like proteins (Figure S1). To evaluate the functional effect of this substitution we developed two additional chimerical SVP genomic constructs corresponding to Ler and Fuk alleles where we replaced by directed mutagenesis Ala32 with Val32, and viceversa. In IL-FAQ1 genetic background, homozygous transgenic lines carrying SVP-Ler-Val32 transgene flowered similar to IL-FAQ1 and did not differ from transgenic lines for SVP-Fuk allele (P>0.05; Figure 2D and 2E). However, most transgenic lines bearing SVP-Fuk-Ala32 transgenes flowered significantly later than control plants, under LD and SD photoperiod conditions. These results demonstrated that this single amino acid substitution strongly alters SVP function, Val32 from Fuk generating a SVP loss-of-function allele that displays no effect on flowering initiation, while Ler Ala32 renders SVP functional and delays flowering initiation.
SVP allelic interaction explains FAQ1 incomplete complementation
Even though most IL-FAQ1 transgenic lines carrying Ler Ala32 in SVP transgene flowered later than IL-FAQ1, quantitative analysis of these lines showed that on average they flowered earlier than Ler (Figure 2A and 2B). Therefore, FAQ1 complementation with SVP transgenes was incomplete. To test if this was due to the existence of an additional gene linked to SVP that might contribute to FAQ1, or to an interaction between the transgenic and the endogenous copies of SVP, we used the four SVP genomic constructs to transform also Ler plants (Figure 2F–2I). The four classes of Ler transgenic lines showed the same overall flowering patterns observed in IL-FAQ1 background. However, most transgenic lines carrying Fuk Val32 flowered earlier than Ler, while most lines carrying Ler Ala32 flowered significantly later than Ler under SD and/or LD photoperiods (Figure 2F and 2G). The effect of SVP alleles was estimated in each background by comparing the transgenic lines carrying Ler and Fuk transgenes (Table 1). Thus, SVP effect in Ler background was significantly larger than in IL-FAQ1 (P<0.05) and similar to FAQ1 effect estimated by comparing Ler and IL-FAQ1 control lines. These results indicated that SVP accounts for most FAQ1 effect but SVP transgenes interact with the genetic background. Since both backgrounds, Ler and IL-FAQ1, differed only in the small introgression containing SVP gene, the SVP transgene most likely interact with the endogenous allele of SVP.
SVP/FAQ1 flowering effects involve epistatic interactions
To further evaluate the genetic-background-dependency of FAQ1/SVP effect, we used the two SVP genomic constructs corresponding to Ler and Fuk alleles to transform three additional accessions (Fuk, Pak-1 and Pak-3) carrying similar loss-of-function FAQ1/SVP-Fuk allele (see later). A total of 108 homozygous transgenic lines were selected in all five backgrounds and grown together under LD and SD photoperiods (Figure 3). The joint analysis of these lines showed strong additive effects of SVP transgenes and genetic backgrounds (P<0.001; Table S2). However, this quantitative analysis also detected significant SVP transgene by background interaction (P<0.01; Table S2) indicating that the allelic effect of SVP depends on the genetic background. This interaction was mainly determined by the small effect of SVP transgenes in Pak-1, since significant interactions were detected (P<0.05) in all pair comparisons of Pak-1 transgenic lines with the rest of backgrounds. As shown in Figure 3, in Pak-1, the two allelic classes of SVP transgenic lines differed weakly under both photoperiods (Table 1). In contrast, both classes of transgenic lines showed larger differences in the other backgrounds, the largest SVP allelic effect appearing in Ler (Figure 3). Furthermore, the three-way interaction among SVP transgene, genetic background and photoperiod was significant (P<0.01; Table S2) evidencing that the effect of SVP on the flowering photoperiod response also depends on the genetic background. This is illustrated with the comparable SVP effect observed in Fuk, Pak-3 and IL-FAQ1 lines when grown under SD, but not under LD photoperiod where Fuk lines displayed larger SVP allelic effect (Figure 3 and Table 1). Therefore, the differential behaviour of transgenic lines in backgrounds bearing the same endogenous FAQ1/SVP allele indicates that SVP transgenes interact with one or several genomic regions other than SVP locus, as well as with the photoperiodic environment.
Leaf numbers of independent homozygous T3 transgenic lines carrying Fuk (red colour) or Ler (green colour) SVP transgenes grown under long-day (LD) (A) or short-day (SD) (B) photoperiod. Genetic backgrounds are indicated in the horizontal axis. Bars are means ± SE of 10–15 plants per line. Mean ± SE of all lines carrying the same transgene and background are shown above the bars. Dashed lines delimit the 95% confidence intervals of the leaf numbers observed in the corresponding untransformed control lines as established by Bonferroni tests.
SVP/FAQ1 loss-of-function allele shows a regional distribution in Asia
Genotyping of a world-wide collection of 289 A. thaliana accessions with a CAPS marker specific for SVP causal polymorphism detected six additional accessions carrying Fuk Val32, two from Pakistan and four from Japan (Figure 4A). This showed that SVP causal polymorphism is geographically structured, Fuk loss-of-function allele appearing as rare at a global scale (<2.5% frequency) but common at a regional scale in Japan, where it displayed a frequency of ∼15%.
A) Geographic distribution of SVP/FAQ1 causal polymorphism. B) Sliding window plot of nucleotide diversity along SVP region derived from 18 world-wide accessions. Nucleotide diversities in SVP coding region are shown inside the panel. C) N-J tree showing the genetic relationships among SVP sequences. D) N-J tree showing the genome-wide genetic relationships among 54 Asian accessions, as estimated from a set of 237 polymorphic SNPs. In C and D, accessions carrying Fuk allele for SVP/FAQ1 causal polymorphism are shown in red color. E) Frequency distribution of leaf numbers in an F2 (Fuk×YGU) population. Average leaf number ± SE and sample size (N) of the three SVP genotypic classes, established based on Ala/Val32 CAPS marker, is given inside the panel.
Sequencing analysis revealed that all seven accessions with Fuk Val32 carried the same SVP loss-of-function allele because they only differed in the length of a short AT-microsatellite located in the first intron. Further SVP sequencing in 18 accessions covering the world distribution (Figure 4B and 4C) showed an overall low nucleotide diversity in SVP coding region (π-silent = 0.0038), which increased up to average genome levels  only in the 5′ and 3′ flanking regions. Non-synonymous diversity was especially low because only the Ala32 to Val32 substitution was found, and no other polymorphism with obvious potential effect on SVP function was detected (Table S3). To determine the genetic relationships among accessions carrying SVP loss-of-function alleles we genotyped a sample of 54 Asian accessions for a set of 237 genome-wide SNPs (Figure 4D). The five Japanese accessions carrying Fuk Val32 were nearly identical with an average proportion of allelic differences (genetic distance) of 1.6%. However the two Pakistan genotypes carrying similar SVP allele differed substantially between them (9% genetic distance) and from Japanese accessions (average distance of 13.2%), although all these accessions were more related than other Asian genotypes.
Functional allelic variation at SVP/FAQ1 most likely originated in Japan
Sequence and genotypic analyses identified YGU as a Japanese genotype that is very close to the five Japanese accessions bearing Fuk Val32, for the overall genetic background (genetic distance of 5.6%) and for SVP haplotype (Figure 4C and 4D). However, YGU carried the active Ala32 SVP allele, the only other SVP nucleotidic difference corresponding to the length of the first intron microsatellite. Furthermore, YGU flowered significantly later than Fuk and the remaining Val32 accessions (Table S1), suggesting that SVP accounts for these flowering differences. This was strongly supported by co-segregation analysis in an F2 (Fuk×YGU) population grown under LD photoperiod, where SVP causal polymorphism explained 43% of the flowering phenotypic variance (Figure 4E). Thus, in this Fuk/YGU homogeneous genetic background, SVP/FAQ1 displayed a large LD effect, in agreement with the behaviour of Fuk transgenic lines. Therefore, SVP loss-of-function allele was probably generated recently in Japan, and after outcrossing and recombination it expanded to Middle Asia.
FAQ1/SVP sets MADS transcription factors as the main gene family accounting for natural flowering variation in A. thaliana
Despite the large number of flowering time QTL identified in A. thaliana, the molecular bases of only a dozen of them have been determined until now (see Introduction). In this work, we have isolated FAQ1, a new QTL identified as a large effect locus in a population highly trangressive for flowering initiation. Most previous studies have used permanent RIL populations or F2 families to detect and map QTL , , . However, we identified this locus in a population of introgression lines developed by phenotypic selection in a homogeneous reference genetic background. Although the construction of such biological materials requires considerable time, they facilitated the later characterization, the fine mapping and the molecular isolation of FAQ1, showing the power of phenotype-based ILs as an alternative mapping resource to standard experimental populations.
We have demonstrated that the well-known regulator SVP encoding a MIKC-type MADS transcription factor ,  contributes to the natural variation for flowering initiation in A. thaliana. It has been previously shown that SVP is a flowering repressor that affects the photoperiod response by negatively regulating several integrator genes such as FT and SOC1 , . SVP appears regulated by the circadian clock and by the autonomous, the thermosensory and the gibberellin pathways , , , which suggests that SVP is also a flowering pathway integrator. Network and protein interaction studies have further revealed that SVP is down-regulated by AP1 and interacts with AP1 and other floral MADS transcription factors like CAL and SEP3 – thereupon showing the close regulation between SVP and the flower identity genes. In addition, SVP binds to the promoters and regulates the expression of other transcriptional regulators including miR172 and several floral repressors of the AP2 family . In this study we have proven that the natural amino acid substitution Ala32 to Val32, in the MADS domain, generates a SVP loss-of-function allele that cause early flowering, in agreement with the phenotypes described for artificial svp mutants , . MADS domains are required for DNA binding but the Ala32, highly conserved among species, has been shown to participate also in MADS protein dimerization . These functions suggest that SVP-Fuk-Val32 is likely unable to properly bind and repress SOC1 and/or FT promoters, leading to the early flowering and reduced photoperiod sensitivity observed in Fuk accession. In addition, the specificity and uniqueness of this natural structural mutation suggest that most SVP structural modifications are likely deleterious and that SVP protein is essential for A. thaliana survival in nature.
Natural regulatory and structural polymorphisms in three additional MADS-box genes, FLC, FLM and MAF2, have been shown to affect flowering in A. thaliana –, , . In addition, a natural amino acid substitution in the MADS-box gene AGL6 has been recently demonstrated to alter shoot branching in a flowering time dependent manner . Moreover, an extensive A. thaliana genome-wide association study  has found SVP as associated with several flowering related traits, which suggests that additional SVP polymorphisms might affect flowering initiation. Hence, MIKC-type MADS transcription factors appear as the main class of genes accounting for the flowering natural variation in this species. Interestingly, another MADS-box gene homologous to AP1 was found to contribute to the natural variation for vernalization flowering response in cereals . Several studies have shown that SVP-like genes in different families of mono- and dicotyledonous plants display partially conserved functions in the photoperiod and vernalization flowering pathways – despite substantial copy number variation for SVP-like genes among species. Therefore, MADS transcription factors in general, and SVP in particular, appear as important candidate genes to explain the natural variation for flowering time or related traits also in plant families that are phylogenetically distant from A. thaliana .
Genetic interactions determine the effects of natural SVP variation
Although FAQ1/SVP was detected as a large effect flowering QTL, quantitative analysis of transgenic lines shows that FAQ1/SVP effects vary from large to rather small as consequence of its genetic interactions. On the one hand, transgenic lines differing only in a small introgression indicate that SVP effect depends on the natural alleles in a genomic region located around SVP, which strongly suggests allelic interactions. This is best illustrated with the lack of flowering effects observed for SVP-Fuk-Val32 transgenes in the SVP loss-of-function background of IL-FAQ1, whereas these transgenes accelerated flowering in the near isogenic background of Ler. Thus, the flowering repression of active SVP-Ler alleles seems to be reduced by the presence of SVP-Fuk loss-of-function alleles. This result is in agreement with the incomplete dominance observed in hybrid plants derived from IL-FAQ1 and Ler, which cannot be explained simply by a SVP dosage effect . Since the function of MADS transcription factors involves homo- and hetero-dimers ,  it can be speculated that in plants bearing both natural SVP alleles, protein complexes containing SVP-Val32, directly or indirectly, reduce the overall SVP transcriptional repressing capacity. On the other hand, transgenic lines in different genetic backgrounds carrying the same endogenous loss-of-function SVP allele show that SVP effects depend on the natural alleles in other genomic region(s), which implies significant SVP epistatic interactions. Interestingly, SVP interacts physically with several MADS transcription factors like FLC, AP1, SOC1 and AGL6 , , . This suggests that the functional basis of the observed SVP genetic interaction is the physical interaction between SVP protein and other MADS transcription factors involved in multiple complexes. Such interactions could also account for the genetic-background-dependency observed for the incomplete dominance of SVP alleles because, in contrast to the behavior in F1(Ler×IL-FAQ1) plants, SVP-Fuk allele behaved nearly as recessive in the F2(Fuk×YGU) population (Figure 4E).
All flowering QTL isolated so far correspond to large effect alleles , , which has hampered our understanding of the molecular mechanisms involved in the natural variation for flowering initiation mediated by small effect QTL . The genetic-background-dependency of FAQ1/SVP shows that QTL that are primarily detected as large effect loci may have varying effects owing to genetic interactions. Thus, epistasis appears as an important component of QTL effect estimation, which is often neglected in Fisher's views of natural quantitative variation that assume the existence of series of alleles with different additive effects , . This result brings the possibility that some of the natural flowering alleles previously isolated might also underlie flowering QTL detected with small effect, a hypothesis whose testing requires the analysis of genetic interactions in multiple backgrounds, as shown here for FAQ1/SVP. In particular, natural variants of gene families that participate in multimer protein complexes, such as the MADS genes , are expected to show significant genetic interactions , as described for numerous artificial mutant alleles of these genes including SVP, FLM and FLC , , –. This view is also supported by the recent identification of a natural allele of AGL6 that affects axillary bud formation in an epistatic manner . It can then be speculated that the natural SVP interacting partners are any of the MADS genes FLM, FLC, MAF2 or AGL6, as supported by their segregation in nature and their participation in SVP genetic and physical interactions, although we cannot discard other genes. Thus, our study shows the usefulness of quantitative analyses of transgenic lines in multiple genetic backgrounds as a general approach to uncover any order (di- and higher-order) genetic interactions with specific natural alleles. Nevertheless, given the significant variation found among transformants, this method demands the generation of large numbers of independent transgenic lines.
SVP natural allelic variation is probably involved in A. thaliana adaptation
Most A. thaliana alleles that have been functionally demonstrated as contributing to the natural variation for flowering initiation are alleles found in a unique accession, which hampers inferences about their role in plant adaptation . By contrast, the early flowering SVP-Fuk allele appears as a recent allele likely originated in Japan and distributed in Asia. Several arguments support that this genetic variant is involved in adaptation. First, its moderate frequency in Asia, in accessions that belong to genetically differentiated clades, indicates that this is not a deleterious allele to be purged from a unique local population. Phenotypic analysis of FAQ1 ILs did not detect any other obvious developmental alteration, further supporting flowering specificity and absence of negative pleiotropic effects of SVP-Fuk allele. Second, SVP-Val32 is the only detected amino acid substitution that has been maintained in nature at high regional frequency, whereas low silent and non-synonymous nucleotide diversities suggest that SVP is under purifying selection. Third, its early flowering phenotype is in agreement with the strong recent directional selection favouring earliness that has been described at the species level , . The significant SVP flowering effect in Fuk/YGU genetic background, in which most likely SVP-Fuk allele was originated, supports that natural selection could act through the SVP-Fuk earliness. Thus, in addition to FRI, FLC and MAF2 genes harbouring several frequent loss-of-function mutations , , , , – SVP represents another flowering repressor (or vegetative growth promoter) that might be under natural selection for early flowering, in agreement with previous predictions . The limited regional distribution of SVP-Fuk is probably determined by its short demographical history in a non-native region that has been recently colonized . However, SVP might be involved in adaptation to particular Asian local environments. The presence of this allele in a set of genetically related accessions suggests that such potential adaptive effect of SVP-Fuk depends on the genetic background, as supported by the genetic interactions described for SVP flowering effect. Conclusive demonstration of SVP contribution to adaptation awaits the analysis of the currently unknown environmental conditions where natural SVP alleles have evolved, as recently reported for other flowering genes in more extensively sampled and documented geographic regions , .
Materials and Methods
The laboratory strain Landsberg erecta (Ler) and the wild accession Fuk, obtained from Sendai Stock centre (JW116; http://www.brc.riken.jp/lab/epd/Eng/catalog/seed.shtml) and originally collected around Fukuyama (Japan), were used as parental lines to develop a population of 31 introgression lines carrying Fuk genomic segments in Ler background. ILs were developed by phenotypic selection for early flowering time during four backcross generations, each backcross being followed by a selfing generation. Briefly, the four earliest plants of an F2 (Ler×Fuk) population of 120 plants were backcrossed to Ler to obtain four independent families. A single early plant was selected per family in each of the following selfing and backcross generations. After four backcrosses, 7–8 individual sister plants per family (a total of 31 ILs) were thoroughly genotyped with 100 AFLP, microsatellite and indel polymorphic markers previously described , , .
IL-2 carrying a single introgression fragment of ∼9 Mb in chromosome 2 was crossed to Ler to obtain a FAQ1 F2 mapping population. FAQ1 was fine mapped by genotyping 2988 F2 plants with 24 CAPS and indel markers developed from different sources. IL-FAQ1, carrying an introgression of ∼2 Mb between physical positions 7.6 and 9.6, was derived from the mapping population.
A world-wide collection of 189 accessions (Table S4) and a collection of 100 Iberian wild genotypes  were analysed for flowering behaviour, for SVP sequence, and/or for SVP causal polymorphism.
Growth conditions and measurements of flowering initiation
Plants were grown in pots with soil and vermiculite at 3∶1 proportion in an air-conditioned greenhouse at 21°C, supplemented with additional light to provide long-day photoperiod (16 h light∶8 h darkness). For short-day photoperiod evaluations (8 h light∶16 h darkness) plants were grown in a growth chamber illuminated with cool-white fluorescent lamps.
Flowering initiation was measured as leaf number and flowering time. Leaf number was calculated as the total number of rosette and cauline leaves in the main inflorescence. Flowering time was estimated as the number of days from the planting date until the opening of the first flower.
SVP sequences, constructs, and transgenic lines
A SVP genomic fragment of 6.5 kb, including 3.2, 2.4 and 0.9 kb of the coding, the 5′ and the 3′ regions, respectively, were sequenced in Ler and Fuk. A 5.6 kb SVP segment was sequenced in other 15 accessions (Table S4). Nine to 12 overlapping fragments of 0.8–1.3 kb were PCR amplified (Table S5) and products were sequenced using an ABI PRISM 3700 DNA analyzer. DNA sequences were aligned using DNASTAR v.8.0 (Lasergene) and alignments were inspected and edited by hand with GENEDOC . Nucleotide diversity, recombination and linkage disequilibrium were estimated with DnaSP v.5 . GenBank accession numbers of DNA sequences generated in this work are JX863084–JX863100.
The two 6.5 kb SVP genomic fragments from Ler and Fuk were cloned in pCAMBIA2300 binary vector (CAMBIA, Canberra, Australia) by standard molecular biology techniques. Briefly, three successive SVP segments were PCR amplified and cloned in appropriate cloning sites, and subsequently fused in the right orientation (Table S5). Two additional SVP chimerical constructs were derived by reciprocally replacing the SNP causing Ala32 to Val32 substitution. For that, site-directed mutagenesis of this SNP was performed by PCR using the spliced overlap extension method as described by Hepworth et al. . Primers containing the nucleotide to be replaced are shown in Table S5. The two PCR products of each accession were purified, mixed, and subjected to 12 PCR cycles to allow extension of heteroduplexes formed between the overlapping sequences. Extended heteroduplexes were then amplified with oligonucleotides SVP-BamHI-F and SVP-BamHI-R, digested with BamHI and XbaI, gel purified, and used to replace the fragment BamHI/XbaI in Ler and Fuk SVP constructs. All PCR amplifications were performed using high fidelity Pfu polymerase (Promega, Wisconsin, USA) and constructs were verified by sequencing.
SVP genomic constructs were transferred by electroporation to AGL0 A. tumefaciens strain  and plants of A. thaliana were transformed by the floral dip method . T1 transformants were screened by kanamycin resistance and lines carrying single insertions were selected based on resistance segregation in T2 families. Ten to 14 independent homozygous T3 lines were selected for each construct and genetic background, their transgene and endogenous SVP alleles being verified by PCR (Table S5) previous to phenotypic analyses. Phenotypic differences among transgenic lines were tested statistically with general linear models using SPSS v 19.0.
SNP genotyping and clustering analyses
Collections of accessions were genotyped using a CAPS marker specifically developed for SVP causal polymorphism (Table S5). Accessions from Asia were further genotyped for a genome-wide set of 320 SNPs selected from different sources, as previously described , . A total of 237 SNPs were polymorphic and were used for genetic distance and clustering analyses, their average missing data being 4.8%. Neighbor-Joining (N-J) trees were constructed with MEGA5  using 10000 bootstraps to calculate percent support for each branch node.
Sequence comparison of MADS domains of SVP and MADS proteins from different species. The alignment includes 30 SVP proteins from 22 plant species and 10 MADS related proteins from six species. FAQ1 causal polymorphism between Ler and Fuk accessions (Ala32 to Val32) is indicated, and the conserved Ler-Ala32 is highlighted. Genbank accession numbers of the protein sequences included are as follow: SVP from Arabidopsis thaliana (ABU95408.1); AGL24 from A. thaliana (NP_194185.1); SVP from A. lyrata (EFH54881); SVP from Brassica rapa (ABG24233.1); SVP from B. napus (AFG73587.1); SVP from B. juncea (AFG73588.1); SVP from Medicago truncatula (XP_003613054.1); SVP from Pisum sativum (AAX47170.1); SVP-like from Glycine max (ABY78023.1); JOINTLESS from Solanum lycopersicum (AAG09811.1); SVP-like 1 from S. tuberosum (AAB94006.1); SVP-like 2 from S. tuberosum (AAV65507.1); JOINTLESS from Malus domestica (ABD66219.2); SVP1 from Actinidia chinensis (AFA37967.1); SVP2 from A. chinensis (AFA37968.1); SVP3 A. chinensis (AFA37969.1); SVP4 from A. chinensis (AFA37970.1); SVP-like from Citrus trifoliata (ACJ09170.1); SVP-like 1 from Vitis vinifera (XP_002269295.1); SVP-like 2 from V. vinifera (AFC96914.1); SVP-like 3 from V. vinifera (XP_002285687.1); SVP-like from Eucalyptus occidentalis (AAP40641.1); SVP-like from Coffea arabica (ADU56833.1); SVP-like from Marchantia polymorpha (ADB81895.1); SVP-like 1 from Ipomoea batatas (BAC15562.1); SVP-like 2 from I. batatas (BAC15561.1); SVP-like from Oryza sativa (Q9XJ66.1); SVP-like 1 from Hordeum vulgare (CAB97349.1); SVP-like 2 from H. vulgare (DQ201168.1); SVP-like from Zea mays (NP_001105148.1|); SVP-like from Brachypodium distachyon (XP_003581663.1); SVP-like from Physcomitrella patens (XP_001779871.1); AGAMOUS from A. thaliana (AEE84111.1); APETALA 3 from A. thaliana (P35632.1); SRF from Homo sapiens (NP_003122.1); MSEF2 from H. sapiens (NP_002388.2); MEF2 from Xenopus laevis (NP_001089962.1); SRF from Drosophila melanogaster (NP_726438.1); MEF2 from D. melanogaster (NP_995789.1); Mcm1p from Saccharomyces cerevisiae (CAA88409.1)
Flowering behaviour of genotypes with different natural SVP alleles.
General linear model testing the effects of SVP transgenes, the genetic background and the photoperiod in transgenic lines.
SVP nucleotide diversity.
A. thaliana natural accessions analyzed for SVP sequence and causal polymorphism.
Oligonucleotides used for SVP sequencing, accession genotyping, cloning and verification of transgenic lines.
Conceived and designed the experiments: BM-V JMM-Z CA-B. Performed the experiments: BM-V CA-B. Analyzed the data: BM-V CA-B. Contributed reagents/materials/analysis tools: BM-V JMM-Z CA-B. Wrote the paper: BM-V JMM-Z CA-B.
- 1. Anderson JT, Willis JH, Mitchell-Olds T (2011) Evolutionary genetics of plant adaptation. Trends Genet 27: 258–266.
- 2. Roux F, Touzet P, Cuguen J, Le Corre V (2006) How to be early flowering: an evolutionary perspective. Trends Plant Sci 11: 375–381.
- 3. Jung C, Muller AE (2009) Flowering time control and applications in plant breeding. Trends Plant Sci 14: 563–573.
- 4. Andres F, Coupland G (2012) The genetic basis of flowering responses to seasonal cues. Nat Rev Genet 13: 627–639.
- 5. Ausin I, Alonso-Blanco C, Martinez-Zapater JM (2005) Environmental regulation of flowering. Int J Dev Biol 49: 689–705.
- 6. Kobayashi Y, Weigel D (2007) Move on up, it's time for change–mobile signals controlling photoperiod-dependent flowering. Genes Dev 21: 2371–2384.
- 7. Kim D-H, Doyle MR, Sung S, Amasino RM (2009) Vernalization: winter and the timing of flowering in plants. Annu Rev Cell Dev Biol 25: 277–299.
- 8. Mitchell-Olds T, Schmitt J (2006) Genetic mechanisms and evolutionary significance of natural variation in Arabidopsis. Nature 441: 947–952.
- 9. Alonso-Blanco C, Aarts MG, Bentsink L, Keurentjes JJ, Reymond M, et al. (2009) What has natural variation taught us about plant development, physiology, and adaptation? Plant Cell 21: 1877–1896.
- 10. Weigel D (2012) Natural variation in Arabidopsis: from molecular genetics to ecological genomics. Plant Physiol 158: 2–22.
- 11. Hoffmann MH (2002) Biogeography of Arabidopsis thaliana (L.) Heynh. (Brassicaceae). J Biogeogr 29: 125–134.
- 12. Stinchcombe JR, Weinig C, Ungerer M, Olsen KM, Mays C, et al. (2004) A latitudinal cline in flowering time in Arabidopsis thaliana modulated by the flowering time gene FRIGIDA. Proc Natl Acad Sci U S A 101: 4712–4717.
- 13. Caicedo AL, Stinchcombe JR, Olsen KM, Schmitt J, Purugganan MD (2004) Epistatic interaction between Arabidopsis FRI and FLC flowering time genes generates a latitudinal cline in a life history trait. Proc Natl Acad Sci U S A 101: 15670–15675.
- 14. Balasubramanian S, Sureshkumar S, Agrawal M, Michael TP, Wessinger C, et al. (2006) The PHYTOCHROME C photoreceptor gene mediates natural variation in flowering and growth responses of Arabidopsis thaliana. Nat Genet 38: 711–715.
- 15. Mendez-Vigo B, Pico FX, Ramiro M, Martinez-Zapater JM, 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.
- 16. Samis KE, Murren CJ, Bossdorf O, Donohue K, Fenster CB, et al. (2012) Longitudinal trends in climate drive flowering time clines in North American Arabidopsis thaliana. Ecol Evol 2: 1162–1180.
- 17. Rédei G (1970) Arabidopsis thaliana (L.) Heynh. A review of the genetics and biology. Bibliogr Genet 1–151.
- 18. 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.
- 19. Johanson U, West J, Lister C, Michaels S, Amasino R, et al. (2000) Molecular analysis of FRIGIDA, a major determinant of natural variation in Arabidopsis flowering time. Science 290: 344–347.
- 20. Salomé PA, Bomblies K, Laitinen RA, Yant L, Mott R, et al. (2011) Genetic architecture of flowering-time variation in Arabidopsis thaliana. Genetics 188: 421–433.
- 21. El-Lithy ME, Bentsink L, Hanhart CJ, Ruys GJ, Rovito D, et al. (2006) New arabidopsis recombinant inbred line populations genotyped using SNPWave and their use for mapping flowering-time quantitative trait loci. Genetics 172: 1867–1876.
- 22. Simon M, Loudet O, Durand S, Berard A, Brunel D, et al. (2008) Quantitative trait loci mapping in five new large recombinant inbred line populations of Arabidopsis thaliana genotyped with consensus single-nucleotide polymorphism markers. Genetics 178: 2253–2264.
- 23. O'Neill C, Morgan C, Kirby J, Tschoep H, Deng P, et al. (2008) Six new recombinant inbred populations for the study of quantitative traits in Arabidopsis thaliana. Theor Appl Genet 116: 623–634.
- 24. Schwartz C, Balasubramanian S, Warthmann N, Michael TP, Lempe J, et al. (2009) Cis-regulatory changes at FLOWERING LOCUS T mediate natural variation in flowering responses of Arabidopsis thaliana. Genetics 183: 723–732.
- 25. Brachi B, Faure N, Horton M, Flahauw E, Vazquez A, et al. (2010) Linkage and association mapping of Arabidopsis thaliana flowering time in nature. PLoS Genet 6: e1000940 .
- 26. Mendez-Vigo B, de Andres MT, Ramiro M, Martinez-Zapater JM, Alonso-Blanco C (2010) Temporal analysis of natural variation for the rate of leaf production and its relationship with flowering initiation in Arabidopsis thaliana. J Exp Bot 61: 1611–1623.
- 27. Sanchez-Bermejo E, Mendez-Vigo B, Pico FX, Martinez-Zapater JM, Alonso-Blanco C (2012) Novel natural alleles at FLC and LVR loci account for enhanced vernalization responses in Arabidopsis thaliana. Plant Cell Environ 35: 1672–1684.
- 28. Keurentjes JJ, Bentsink L, Alonso-Blanco C, Hanhart CJ, Blankestijn-De Vries H, et al. (2007) Development of a near-isogenic line population of Arabidopsis thaliana and comparison of mapping power with a recombinant inbred line population. Genetics 175: 891–905.
- 29. Törjék O, Meyer RC, Zehnsdorf M, Teltow M, Strompen G, et al. (2008) Construction and analysis of 2 reciprocal arabidopsis introgression line populations. J Hered 99: 396–406.
- 30. Kover PX, Valdar W, Trakalo J, Scarcelli N, Ehrenreich IM, et al. (2009) A multiparent advanced generation inter-cross to fine-map quantitative traits in Arabidopsis thaliana. PLoS Genet 5: e1000551 .
- 31. Huang X, Paulo MJ, Boer M, Effgen S, Keizer P, et al. (2011) Analysis of natural allelic variation in Arabidopsis using a multiparent recombinant inbred line population. Proc Natl Acad Sci U S A 108: 4488–4493.
- 32. Atwell S, Huang YS, Vilhjalmsson BJ, Willems G, Horton M, et al. (2010) Genome-wide association study of 107 phenotypes in Arabidopsis thaliana inbred lines. Nature 465: 627–631.
- 33. Li Y, Huang Y, Bergelson J, Nordborg M, Borevitz JO (2010) Association mapping of local climate-sensitive quantitative trait loci in Arabidopsis thaliana. Proc Natl Acad Sci U S A 107: 21199–21204.
- 34. Malmberg RL, Mauricio R (2005) QTL-based evidence for the role of epistasis in evolution. Genet Res 86: 89–95.
- 35. Koornneef M, Blankestijn-de Vries H, Hanhart CJ, Soppe W, Peeters AJM (1994) The phenotype of some late-flowering mutants is enhanced by a locus on chromosome 5 that is not effective in the Landsberg erecta wild-type. Plant J 6: 911–919.
- 36. Lee I, Michaels SD, Masshardt AS, Amasino RM (1994) The late-flowering phenotype of FRIGIDA and mutations in LUMINIDEPENDENS is suppressed in the Landsberg erecta strain of Arabidopsis. Plant J 6: 903–909.
- 37. Fenster CB, Galloway LF, Chao L (1997) Epistasis and its consequences for the evolution of natural populations. Trends Ecol Evol 12: 282–286.
- 38. Benfey PN, Mitchell-Olds T (2008) From genotype to phenotype: Systems biology meets natural variation. Science 320: 495–497.
- 39. Phillips PC (2008) Epistasis–the essential role of gene interactions in the structure and evolution of genetic systems. Nat Rev Genet 9: 855–867.
- 40. Jimenez-Gomez JM, Wallace AD, Maloof JN (2010) Network analysis identifies ELF3 as a QTL for the shade avoidance response in Arabidopsis. PLoS Genet 6: e1001100 .
- 41. Rosloski SM, Jali SS, Balasubramanian S, Weigel D, Grbic V (2010) Natural diversity in flowering responses of Arabidopsis thaliana caused by variation in a tandem gene array. Genetics 186: 263–276.
- 42. Michaels SD, He Y, Scortecci KC, Amasino RM (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.
- 43. Coustham V, Li P, Strange A, Lister C, Song J, et al. (2012) Quantitative modulation of polycomb silencing underlies natural variation in vernalization. Science 337: 584–587.
- 44. 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.
- 45. Gazzani S, Gendall AR, Lister C, Dean C (2003) Analysis of the molecular basis of flowering time variation in Arabidopsis accessions. Plant Physiol 132: 1107–1114.
- 46. Lempe J, Balasubramanian S, Sureshkumar S, Singh A, Schmid M, et al. (2005) Diversity of flowering responses in wild Arabidopsis thaliana strains. PLoS Genet 1: e6 .
- 47. Werner JD, Borevitz JO, Uhlenhaut NH, Ecker JR, Chory J, et al. (2005) FRIGIDA-independent variation in flowering time of natural Arabidopsis thaliana accessions. Genetics 170: 1197–1207.
- 48. Shindo C, Aranzana MJ, Lister C, Baxter C, Nicholls C, et al. (2005) Role of FRIGIDA and FLOWERING LOCUS C in determining variation in flowering time of Arabidopsis. Plant Physiol 138: 1163–1173.
- 49. Toomajian C, Hu TT, Aranzana MJ, Lister C, Tang C, et al. (2006) A nonparametric test reveals selection for rapid flowering in the Arabidopsis genome. PLoS Biol 4: e137 .
- 50. Hartmann U, Hohmann S, Nettesheim K, Wisman E, Saedler H, et al. (2000) Molecular cloning of SVP: a negative regulator of the floral transition in Arabidopsis. Plant J 21: 351–360.
- 51. Nordborg M, Hu TT, Ishino Y, Jhaveri J, Toomajian C, et al. (2005) The pattern of polymorphism in Arabidopsis thaliana. PLoS Biol 3: e196 .
- 52. Smaczniak C, Immink RG, Angenent GC, Kaufmann K (2012) Developmental and evolutionary diversity of plant MADS-domain factors: insights from recent studies. Development 139: 3081–3098.
- 53. Li D, Liu C, Shen L, Wu Y, Chen H, et al. (2008) A repressor complex governs the integration of flowering signals in Arabidopsis. Dev Cell 15: 110–120.
- 54. Jang S, Torti S, Coupland G (2009) Genetic and spatial interactions between FT, TSF and SVP during the early stages of floral induction in Arabidopsis. Plant J 60: 614–625.
- 55. Lee JH, Yoo SJ, Park SH, Hwang I, Lee JS, et al. (2007) Role of SVP in the control of flowering time by ambient temperature in Arabidopsis. Genes Dev 21: 397–402.
- 56. Fujiwara S, Oda A, Yoshida R, Niinuma K, Miyata K, et al. (2008) Circadian clock proteins LHY and CCA1 regulate SVP protein accumulation to control flowering in Arabidopsis. Plant Cell 20: 2960–2971.
- 57. de Folter S, Immink RG, Kieffer M, Parenicova L, Henz SR, et al. (2005) Comprehensive interaction map of the Arabidopsis MADS Box transcription factors. Plant Cell 17: 1424–1433.
- 58. Gregis V, Sessa A, Colombo L, Kater MM (2006) AGL24, SHORT VEGETATIVE PHASE, and APETALA1 redundantly control AGAMOUS during early stages of flower development in Arabidopsis. Plant Cell 18: 1373–1382.
- 59. Kaufmann K, Wellmer F, Muino JM, Ferrier T, Wuest SE, et al. (2010) Orchestration of floral initiation by APETALA1. Science 328: 85–89.
- 60. Tao Z, Shen L, Liu C, Liu L, Yan Y, et al. (2012) Genome-wide identification of SOC1 and SVP targets during the floral transition in Arabidopsis. Plant J 70: 549–561.
- 61. Huang K, Louis JM, Donaldson L, Lim FL, Sharrocks AD, et al. (2000) Solution structure of the MEF2A-DNA complex: structural basis for the modulation of DNA bending and specificity by MADS-box transcription factors. Embo J 19: 2615–2628.
- 62. Werner JD, Borevitz JO, Warthmann N, Trainer GT, Ecker JR, et al. (2005) Quantitative trait locus mapping and DNA array hybridization identify an FLM deletion as a cause for natural flowering-time variation. Proc Natl Acad Sci U S A 102: 2460–2465.
- 63. Caicedo AL, Richards C, Ehrenreich IM, Purugganan MD (2009) Complex rearrangements lead to novel chimeric gene fusion polymorphisms at the Arabidopsis thaliana MAF2-5 flowering time gene cluster. Mol Biol Evol 26: 699–711.
- 64. Huang X, Effgen S, Meyer RC, Theres K, Koornneef M (2012) Epistatic natural allelic variation reveals a function of AGAMOUS-LIKE6 in axillary bud formation in Arabidopsis. Plant Cell 24: 2364–2379.
- 65. Yan L, Loukoianov A, Tranquilli G, Helguera M, Fahima T, et al. (2003) Positional cloning of the wheat vernalization gene VRN1. Proc Natl Acad Sci U S A 100: 6263–6268.
- 66. Masiero S, Li MA, Will I, Hartmann U, Saedler H, et al. (2004) INCOMPOSITA: a MADS-box gene controlling prophyll development and floral meristem identity in Antirrhinum. Development 131: 5981–5990.
- 67. Ciannamea S, Kaufmann K, Frau M, Tonaco IA, Petersen K, et al. (2006) Protein interactions of MADS box transcription factors involved in flowering in Lolium perenne. J Exp Bot 57: 3419–3431.
- 68. Trevaskis B, Tadege M, Hemming MN, Peacock WJ, Dennis ES, et al. (2007) Short vegetative phase-like MADS-box genes inhibit floral meristem identity in barley. Plant Physiol 143: 225–235.
- 69. Li ZM, Zhang JZ, Mei L, Deng XX, Hu CG, et al. (2010) PtSVP, an SVP homolog from trifoliate orange (Poncirus trifoliata L. Raf.), shows seasonal periodicity of meristem determination and affects flower development in transgenic Arabidopsis and tobacco plants. Plant Mol Biol 74: 129–142.
- 70. Lee JH, Park SH, Ahn JH (2012) Functional conservation and diversification between rice OsMADS22/OsMADS55 and Arabidopsis SVP proteins. Plant Sci 185–186: 97–104.
- 71. Cohen O, Borovsky Y, David-Schwartz R, Paran I (2012) CaJOINTLESS is a MADS-box gene involved in suppression of vegetative growth in all shoot meristems in pepper. J Exp Bot 63: 4947–4957.
- 72. Bielenberg DG, Wang Y, Li Z, Zhebentyayeva T, Fan S, et al. (2008) Sequencing and annotation of the evergrowing locus in peach [Prunus persica (L.) Batsch] reveals a cluster of six MADS-box transcription factors as candidate genes for regulation of terminal bud formation. Tree Genet Genomes 4: 495–507.
- 73. Rockman MV (2012) The QTN program and the alleles that matter for evolution: all that's gold does not glitter. Evolution 66: 1–17.
- 74. Orr HA (2005) The genetic theory of adaptation: a brief history. Nat Rev Genet 6: 119–127.
- 75. Kempin SA, Savidge B, Yanofsky MF (1995) Molecular basis of the cauliflower phenotype in Arabidopsis. Science 267: 522–525.
- 76. Ferrandiz C, Gu Q, Martienssen R, Yanofsky MF (2000) Redundant regulation of meristem identity and plant architecture by FRUITFULL, APETALA1 and CAULIFLOWER. Development 127: 725–734.
- 77. Pelaz S, Ditta GS, Baumann E, Wisman E, Yanofsky MF (2000) B and C floral organ identity functions require SEPALLATA MADS-box genes. Nature 405: 200–203.
- 78. Scortecci K, Michaels SD, Amasino RM (2003) Genetic interactions between FLM and other flowering-time genes in Arabidopsis thaliana. Plant Mol Biol 52: 915–922.
- 79. Alonso-Blanco C, Peeters AJ, Koornneef M, Lister C, Dean C, et al. (1998) Development of an AFLP based linkage map of Ler, Col and Cvi Arabidopsis thaliana ecotypes and construction of a Ler/Cvi recombinant inbred line population. Plant J 14: 259–271.
- 80. Bell CJ, Ecker JR (1994) Assignment of 30 microsatellite loci to the linkage map of Arabidopsis. Genomics 19: 137–144.
- 81. Pico FX, Mendez-Vigo B, Martinez-Zapater JM, Alonso-Blanco C (2008) Natural genetic variation of Arabidopsis thaliana is geographically structured in the Iberian peninsula. Genetics 180: 1009–1021.
- 82. Nicholas KB, Nicholas HBJ, Deerfield DW (1997) GeneDoc: Analysis and Visualization of Genetic Variation. EMBNEW NEWS 4.
- 83. Librado P, Rozas J (2009) DnaSP v5: a software for comprehensive analysis of DNA polymorphism data. Bioinformatics 25: 1451–1452.
- 84. Hepworth SR, Valverde F, Ravenscroft D, Mouradov A, Coupland G (2002) Antagonistic regulation of flowering-time gene SOC1 by CONSTANS and FLC via separate promoter motifs. Embo J 21: 4327–4337.
- 85. Lazo GR, Stein PA, Ludwig RA (1991) A DNA transformation-competent Arabidopsis genomic library in Agrobacterium. Biotechnology 9: 963–967.
- 86. Clough SJ, Bent AF (1998) Floral dip: a simplified method for Agrobacterium-mediated transformation of Arabidopsis thaliana. Plant J 16: 735–743.
- 87. Gomaa NH, Montesinos-Navarro A, Alonso-Blanco C, Pico FX (2011) Temporal variation in genetic diversity and effective population size of Mediterranean and subalpine Arabidopsis thaliana populations. Mol Ecol 20: 3540–3554.
- 88. Tamura K, Peterson D, Peterson N, Stecher G, Nei M, et al. (2011) MEGA5: molecular evolutionary genetics analysis using maximum likelihood, evolutionary distance, and maximum parsimony methods. Mol Biol Evol 28: 2731–2739.