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First published online May 20, 2005; 10.1104/pp.105.061309 Plant Physiology 138:1163-1173 (2005) © 2005 American Society of Plant Biologists Role of FRIGIDA and FLOWERING LOCUS C in Determining Variation in Flowering Time of Arabidopsis1,[w]Cell and Developmental Biology, John Innes Centre, Norwich NR4 7UH, United Kingdom (C.S., C.L., C.B., C.N., C.D.); and Molecular and Computational Biology, University of Southern California, Los Angeles, California 900891340 (M.J.A., M.N.)
Arabidopsis (Arabidopsis thaliana) accessions provide an excellent resource to dissect the molecular basis of adaptation. We have selected 192 Arabidopsis accessions collected to represent worldwide and local variation and analyzed two adaptively important traits, flowering time and vernalization response. There was huge variation in the flowering habit of the different accessions, with no simple relationship to latitude of collection site and considerable diversity occurring within local regions. We explored the contribution to this variation from the two genes FRIGIDA (FRI) and FLOWERING LOCUS C (FLC), previously shown to be important determinants in natural variation of flowering time. A correlation of FLC expression with flowering time and vernalization was observed, but it was not as strong as anticipated due to many late-flowering/vernalization-requiring accessions being associated with low FLC expression and early-flowering accessions with high FLC expression. Sequence analysis of FRI revealed which accessions were likely to carry functional alleles, and, from comparison of flowering time with allelic type, we estimate that approximately 70% of flowering time variation can be accounted for by allelic variation of FRI. The maintenance and propagation of 20 independent nonfunctional FRI haplotypes suggest that the loss-of-function mutations can confer a strong selective advantage. Accessions with a common FRI haplotype were, in some cases, associated with very different FLC levels and wide variation in flowering time, suggesting additional variation at FLC itself or other genes regulating FLC. These data reveal how useful these Arabidopsis accessions will be in dissecting the complex molecular variation that has led to the adaptive phenotypic variation in flowering time.
A central aim in ecology and evolutionary biology is to understand the molecular genetic basis for variation in important life history traits. In plants, this variation has underpinned the successful adaptation to different environmental niches. The timing of the transition from vegetative to reproductive development is a critical adaptive trait because it is essential for plants to complete flower development, pollination, and seed production in favorable conditions. Environmental conditions change depending on geographical location as well as season, so plants have developed mechanisms to perceive environmental cues like light, temperature, and water availability in order to alter their flowering time in response to these signals.
Since the 1850s, many attempts have been made to elucidate the mechanisms mediating light and temperature responses in the control of flowering (Garner and Allard, 1920
Three key pathways affect the induction of flowering in response to long periods of cold; the FRIGIDA (FRI) repression and the autonomous promotion pathways confer dominant and recessive vernalization requirements, respectively, whereas the vernalization promotion pathway confers the ability to respond to cold temperature (Henderson et al., 2003
Arabidopsis has a near-worldwide distribution, so it must have adapted to growth in a wide range of climatic conditions. This phenotypic variation is attracting an increasing amount of attention by ecologists and evolutionary biologists (for review, see Pigliucci, 2003
Many tools are therefore in place to assess the role of allelic variation at known loci in flowering-time diversity. These resources may also enable the discovery of novel genes that are important for controlling flowering-time variation in the wild. Initial work focused on the role of FRI alleles in the evolution of rapid-cycling Arabidopsis variants from late-flowering ancestral accessions (Johanson et al., 2000
It is noteworthy that FRI and FLC appear to contribute so much to natural variation in flowering time when more than 80 genes regulating flowering time have been identified (Levy and Dean, 1998
We have continued to exploit the natural variation in Arabidopsis flowering time to study the mechanism of vernalization. We have utilized a set of 192 Arabidopsis accessions from the northern hemisphere, which includes populations from diverse habitats in Sweden (ranging from mountainsides close to the Arctic Circle to agricultural fields in the far south of the country) and populations from the United States, where Arabidopsis was recently introduced. Detailed descriptions of the collection sites are available for most accessions, and this may facilitate future ecological analysis with this material. In addition, our sample of 192 Arabidopsis accessions includes 96 accessions for which genome-wide polymorphism data have been generated (Nordborg et al., 2005
Flowering-Time Variation in a Collection of Arabidopsis Accessions
The 192 Arabidopsis accessions analyzed are from diverse environments, mainly from Europe, Scandinavia, Asia, and North America (Table I). For each accession, the final total leaf number (FLN; rosette plus cauline leaves) was counted for plants grown in greenhouse conditions with (+V) and without (V) 8 weeks of cold treatment. FLN has previously been found to be a reliable measure of flowering time (Koornneef et al., 1991
This analysis revealed wide variation in flowering time among the accessions. One might expect that FLN (V) would correlate with latitude of collection site. However, while a relationship between latitude of collection site and FLN was evident on a gross scale, there was no simple correlation (Fig. 1A). All of the accessions collected above 62°N (11 accessions) were categorized into the DNF group, and there were no DNF accessions below 45°N (42 accessions). Very-early-flowering accessions (FLN < 20) were found at all latitudes below 60°N, but the majority was found within the latitudinal range of 45°N to 55°N. The widest range of flowering time was found at around 55°N.
Focusing on the accessions collected in close proximity to each other revealed patterns in FLN (V) on a finer scale. There was considerable variation in flowering time in southern Sweden (of a total of 36 accessions, eight were very early flowering and 13 DNF). Genome-wide polymorphism data (Nordborg et al., 2005
It is also of interest to ask whether the DNF accessions from northern and southern Sweden may share late-flowering alleles. The data of Nordborg et al. (2005) FLN (+V) was measured in order to calculate the vernalization response (i.e. the decrease in FLN after 8 weeks of cold treatment). Comparable levels of variation were observed in FLN (+V) as described above for FLN (V), and a similar relationship with latitude was found (Fig. 1B). Accessions generally showed an acceleration of flowering after an 8-week cold treatment (Fig. 1D). Very-early-flowering accessions (FLN < 20) showed the lowest reduction in FLN after vernalization, whereas the DNF and very-late-flowering accessions (FLN > 70) showed the greatest reduction. Thus, the later the flowering in our assays, the larger the vernalization response. More interestingly, within the late (FLN > 70) and DNF accessions, there was a wide range of FLN after vernalization, suggesting that vernalization response differs between these accessions. Among the accessions with FLN (V) > 20, it was possible to identify some with an enhanced vernalization response, including a number of accessions from around 40°N in Spain, Portugal, and Tajikistan (Pla-0, Sorbo, Kondara, Se-0, Ts-1, Ts-5, Ll-0, and C24). These accessions flowered relatively late without vernalization but much earlier after vernalization than accessions with a similar FLN (V) from higher latitudes (Fig. 1, A and B, white diamonds). In addition, there were accessions with apparently reduced response to vernalization. For example, six accessions collected in the United States from about 40°N (Yo-0, Dem-4, Knox-10, RRS-10, RMX-A02, and PNA-10) flowered with FLN > 30 even after an 8-week cold treatment.
Previous work using a limited number of genotypes suggested that there is a tight correlation between the level of FLC expression and FLN (V; Sheldon et al., 2000
To some extent, variation in FLC expression appears to be related to the site of collection (Supplemental Fig. 2). For example, a subgroup of U.S. accessions flowered relatively late but had low FLC expression (<0.7). Three of these accessions (RRS-10, Knox-10, and PNA-10) are very closely related based on genome-wide polymorphism data (Nordborg et al., 2005 The vernalization response (measured as the ratio of FLN without and with vernalization) is also significantly correlated with FLC expression (Fig. 2C; P < 0.001). However, dividing the data based on FLN (V) into early, late, and DNF (Supplemental Fig. 3) revealed a stronger association between FLC expression and vernalization response in earlier flowering (<50 FLN) accessions than in later flowering (>50 FLN) accessions (P < 0.001 and P = 0.003, respectively). The DNF class showed no linear correlation between FLC levels and vernalization response, which may be an artifact of using an FLN (V) of 150 for this calculation.
To pursue the role of FRI allelic variation further, the FRI gene from all 192 accessions used in this study was sequenced. This covered approximately 550 bp of the 5'-untranslated region, the entire coding region, including introns, and approximately 220 bp of the 3'-untranslated region. Across all accessions, 93% of the target sequence was obtained, and it was possible to assign a FRI haplotype in almost all cases. Previous reports have shown that allelic variation at FRI has a major effect on flowering time in natural accessions (Johanson et al., 2000
A total of 20 haplotypes were identified that are predicted to cause nonfunctional FRI alleles. These included the deletions observed in Ler and Col-0, previously reported by Johanson et al. (2000 Accessions with nonfunctional FRI haplotypes are typically expected to have low FLC levels. Some haplotypes, including the Col-type (Fig. 3B, white squares), caused consistently low FLC expression. However, accessions with the Ler haplotypes showed a wide range of FLC levels, three of which were particularly high (Ka-0, Lz-0, and Ra-0; Fig. 3B, white/black circles). Other accessions with nonfunctional FRI haplotypes also had high FLC levels. These data implicate variation in other genes causing up-regulation of FLC. Interestingly, not all the accessions with high levels of FLC flowered late, suggesting that their FLC transcript may be nonfunctional or there may be variation in other loci that affect FLC action.
In addition to the clear loss-of-function mutations, changes leading to amino acid polymorphisms in the FRI sequence were frequently observed (Fig. 3A, 131). The majority of these polymorphisms were clustered within exon 1 (1 change/50 bp), confirming that this region is hypervariable, as previously reported (Le Corre et al., 2002 A haplotype tree was constructed based on the association of both synonymous and nonsynonymous amino acid changes and the loss-of-function mutations. In conjunction with the flowering-time and FLC expression data, this tree was used to generate hypotheses about the likelihood of specific amino acid changes modifying or causing the loss of function of the FRI protein (Supplemental Fig. 4, A and B). For example, 20 accessions, which only carry the number 16 and 6 polymorphisms, showed a wide range in FLC levels, including accessions with high transcript abundance. This suggested that these amino acid changes do not disrupt FRI function (although it should be noted that FLC levels are also highly variable among accessions carrying loss-of-function mutations). Similarly, high levels of FLC variation in other FRI haplotypes suggest that, in many cases, low FLC expression might be caused by variation in FLC itself or loci other than FRI. Three accessions (Wil-2, Wa-1, and Tottarp-2) carrying FRI with polymorphism numbers 6, 16, and 21 all showed low FLC expression. F1 plants, generated from crosses between these accessions and Col-0, flowered very early, indicating that they carry a nonfunctional or weak FRI allele or possibly a dominant suppressor of FRI (Supplemental Table I). Since only amino acid change number 21 was specific to them, this polymorphism may define a functionally important domain within the FRI protein.
Overall, for 176 accessions, complete data for FRI haplotype, flowering time, and FLC level were obtained. Of these, 104 accessions were predicted to carry FRI alleles that are likely to be functional (i.e. do not have obvious loss-of-function mutations), whereas 72 carried potentially nonfunctional FRI alleles (Fig. 4). Among accessions with functional FRI alleles, flowering time and FLC level varied widely and to a greater extent than in accessions with nonfunctional FRI alleles. Some accessions with functional FRI alleles (30 out of 104) behaved like rapid-cycling accessions, such as Col-0 and Ler-1, i.e. they flowered very early (<20 FLN), showed little vernalization response, and/or showed very low levels of FLC expression (<0.3; Supplemental Fig. 5). These accessions may carry a weak FLC allele or have nonfunctional FLC transcripts. As mentioned above, in each analysis there were some accessions with an exceptional flowering phenotype or unexpected FLC expression levels. However, most accessions with highly expressed FLC carried functional FRI alleles. Indeed, we estimate that 74 out of 89 (approximately 83%) of the late-flowering accessions in this study had a functional FRI allele. Similarly, most early-flowering accessions have predicted nonfunctional FRI alleles and low FLC levels (47 out of 87; approximately 54%). Thus, we conclude that allelic variation at FRI is a major determinant of flowering-time variation.
As discussed above, there was no simple latitudinal cline in FLN (V and +V) when all the accessions were used in this analysis (Fig. 1, A and B). It was interesting to determine whether taking into account both FRI function and FLC allelic type would reveal a correlation between FLN and latitude, as has been reported previously (Caicedo et al., 2004
Flowering time has a critical role in determining reproductive success, and, therefore, it has been featured in many ecological and evolutionary studies. In this research, we focused on the natural variation in the flowering time of Arabidopsis and the role of two key genes that control the flowering transition, FRI and FLC. A high level of variation among the accessions has been described here for both flowering time (with and without vernalization) and in degree of vernalization response (reduction in FLN caused by extended cold treatment). Furthermore, analysis of the FRI sequence has revealed considerable genetic variation at this locus, and this has been shown to make an important contribution to natural variation in flowering time.
Previous studies have shown that early-flowering rapid-cycling accessions have evolved on multiple independent occasions through loss of FRI function (Johanson et al., 2000 It was interesting to analyze the geographical distribution of the different nonfunctional FRI alleles because this could provide a model to understand the factors leading to their maintenance in the population. The Ler-type deletion was the most common nonfunctional FRI allele; it was found in four different FRI haplotypes in accessions from western Europe, Russia, southern Sweden, and the United States (Fig. 6). The Col-type deletion, which was the next most frequent nonfunctional FRI allele, was mainly found in northern Germany. By contrast, the other nonfunctional FRI alleles were found in a single or a few accessions collected from more peripheral European countries, such as those in the Iberian Peninsula. These rarer, nonfunctional FRI alleles are likely to have arisen more recently than the abundant alleles. It is noteworthy that no Ler- or Col-type alleles were detected in accessions in the Iberian Peninsula, but that there were four accessions with rare nonfunctional FRI alleles from this region.
In addition to the FRI gene, its target FLC also plays an important role in natural variation of flowering time. Natural variation of this gene has been described in several early-flowering accessions/genotypes. For example, the FLC locus of Ler-1 and Da (1)-12 contains a transposon insertion in the first intron that perturbs function (Gazzani et al., 2003 It is striking that these independent loss-of-function FRI mutations and weak FLC alleles have been maintained and propagated during the divergence of Arabidopsis. This implies that these mutations confer a selective advantage by enabling a rapid-cycling strategy that increases reproductive fitness in certain environmental conditions. In this study, early-flowering accessions were found to predominate in central and northern Europe and very-late-flowering accessions were nonrandomly distributed in certain regions of the Scandinavian Peninsula. A future challenge will be to elucidate the selection pressures that have led to the evolution of rapid-cycling ecotypes and to understand the environmental variables that determine whether a rapid-cycling or winter-annual habit is best adapted.
Latitude provides a crude measure of environmental conditions, but, in this study, no significant latitudinal cline was found in flowering time. This is in direct contrast to recent reports of a latitudinal cline dependent on FRI allelic type (Stinchcombe et al., 2004
Previous studies have tried to find associations between flowering time and more specific environmental variables. For example, McKay et al. (2003) Consistent with previous findings, many early-flowering accessions had loss-of-function FRI mutations and low FLC levels, and many late-flowering types had active FRI alleles and high FLC levels. However, this study revealed considerable variation in the relationship between FRI functionality, FLC level, and flowering time. For example, FLC expression varied widely in all accessions with nonfunctional FRI alleles (with the interesting exception of those carrying the Col-type allele that all had low FLC levels). This could reflect recent variation in genes that control FLC expression, which has arisen since the loss-of-function mutation in FRI. Loss-of-function mutations in FLC repressors found in the autonomous pathway (FCA, FVE, FY, FPA, LD) might have caused this FRI-independent up-regulation of FLC. Exceptional accessions, including early-flowering types with high FLC levels or late-flowering accessions with low FLC levels, also indicate that there is wide variation in flowering-time genes such as FRI suppressors, genes that act like FLC to repress flowering, genes downstream of FLC, and other modifier loci. For example, two closely related French accessions, Lz-0 and Ra-0, had exceptional flowering-time characteristics. Lz-0 has a Ler-type deletion at FRI, but high FLC levels, and flowered relatively late, whereas Ra-0 has the same FRI deletion and high FLC levels, but flowered early. It is possible that they have a mutation that causes FRI-independent up-regulation of FLC, but that Ra-0 has a defective FLC transcript or gene(s) acting downstream of FLC. Further molecular analysis will be required to understand this complicated exception observed in two accessions with a similar genetic structure. Another outstanding phenotype was found in several North American accessions that flowered late despite low FLC expression levels. These accessions may therefore have a gene that functions like FLC to cause late flowering. The genome-wide SNP data suggest that the accessions from North America are closely related to accessions in the United Kingdom, France, and Germany and are therefore likely to be recent introductions. Interestingly, none of the accessions that were analyzed from these countries were found with this late-flowering/low-FLC phenotype, and only two accessions of this type were found in southern Sweden (Lis-1 and Hovdara-6). It is possible that a very rare accession with this late-flowering/low-FLC phenotype was introduced into the New World and then propagated due to a bottleneck effect.
A major aim of future research will be to identify the loci that are contributing to the variation in the relationships between flowering time, FLC level, and FRI function. A good starting point to characterize this genetic variation is the collection of accessions from Sweden with diverse flowering behaviors. The many different loss-of-function FRI and FLC alleles present in these accessions suggest that early-flowering variants had accumulated in this geographical region either through migration of accessions from northern Europe already containing nonfunctional/weak alleles or by the accumulation of new mutations after colonization. The considerable range of flowering-time variation in southern Swedish accessions suggests that Arabidopsis colonization of this region originated from a number of different sources. The recent report by Stenøien et al. (2005) This study has revealed a vast amount of natural variation in flowering strategies of Arabidopsis. We have shown the importance of variation in two key genes, FLC and FRI, on flowering time in the wild. In the future, quantitative trait loci mapping will be a powerful approach to uncover the other loci that contribute to naturally occurring flowering-time variation. New molecular data, including genome-wide SNP information, and more detailed ecological studies will enable us to look more widely at the molecular basis of natural diversity in flowering time and to see how this diversity has evolved.
Plant Materials The 192 Arabidopsis (Arabidopsis thaliana) accessions used were coordinated by M. Nordborg. The first set of 96 accessions was derived both from the stock centers or originally collected by J. Bergelson, M. Kreitman, and M. Nordborg. Their genome-wide SNP data, which has been produced by the National Science Foundation Arabidopsis 2010 project "A genomic survey of polymorphism," are available at the Web site http://walnut.usc.edu/2010.html. For determination of FRI functionality, certain accessions were reciprocally crossed with Col-0.
Seeds were sown on soil in plastic pots (7 cm x 7 cm) and stratified in the dark at 4°C for 3 d. For vernalization, 7-d-old seedlings were grown in the cold room (4°C, constant humidity, 8-h light). After the 8-week vernalization treatment, plants were moved to the greenhouse with supplemental lighting to give a 16-h photoperiod. Seeds for nonvernalized plants were sown in the same way as described above for vernalized plants, but 10 d before the end of the vernalization period, so that both vernalized and nonvernalized plants were grown in the greenhouse simultaneously. Young seedlings were transferred to trays with 40 cells of 2 cm x 2 cm. The trays were moved regularly to random positions to prevent any positional effects on plant growth. Flowering time was measured by counting FLN, which was scored as the number of rosette leaves plus cauline leaves.
Total RNA was extracted from young leaves after 4 weeks of growth in the greenhouse. RNA extraction was performed using the TRIzol Reagent (Invitrogen, Paisley, UK) according to the manufacturer's instructions. Approximately 10 µg of total RNA were fractionated on 1.2% (w/v) formaldehyde-agarose gels and blotted onto Hybond N+ nylon filters (Amersham Biosciences, Buckinghamshire, UK). The RNA gel blot was probed with a 32P-ATP-labeled FLC probe (lacking the MADS box domain). After stripping in boiling 0.5% (w/v) SDS, the same blot was rehybridized with a FRI cDNA probe containing exon 1 only. Blots were exposed to PhosphoImager screens (Molecular Dynamics, Sunnyvale, CA). To normalize the relative intensities of FLC and FRI mRNA, stripped blots were rehybridized and probed with the
Flowering time, which was measured by counting FLN, was calculated as the average of 20 plants. Correlation coefficients were calculated using Microsoft Excel or Genstat (Genstat 5 Committee, 1993).
Genomic DNA of 192 accessions was extracted from young leaves using the DNeasy plant mini kit (Qiagen, Valencia, CA). The FRI gene (including 544 bp upstream of ATG and 219 bp downstream of the stop codon) was sequenced, in both directions, on Beckman CEQ sequencers (Fullerton, CA). The published FRI sequence of the ecotype H51 (GenBank accession no. AF228499; Johanson et al., 2000
We thank Mervyn Smith for looking after Arabidopsis plants at the John Innes Centre and Amy Strange for critical reading of the manuscript. Received February 14, 2005; returned for revision March 22, 2005; accepted March 22, 2005.
1 This work was supported by Natural and Environmental Sciences (NER/T/S2001/00240), the Biotechnology and Biological Sciences Research Council, and the W.H. Keck Foundation.
[w] The online version of this article contains Web-only data. Article, publication date, and citation information can be found at www.plantphysiol.org/cgi/doi/10.1104/pp.105.061309. * Corresponding author; e-mail caroline.dean{at}bbsrc.ac.uk; fax 441603450025.
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