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A single locus confers tolerance to continuous light and allows substantial yield increase in tomato

Abstract

An important constraint for plant biomass production is the natural day length. Artificial light allows for longer photoperiods, but tomato plants develop a detrimental leaf injury when grown under continuous light—a still poorly understood phenomenon discovered in the 1920s. Here, we report a dominant locus on chromosome 7 of wild tomato species that confers continuous light tolerance. Genetic evidence, RNAseq data, silencing experiments and sequence analysis all point to the type III light harvesting chlorophyll a/b binding protein 13 (CAB-13) gene as a major factor responsible for the tolerance. In Arabidopsis thaliana, this protein is thought to have a regulatory role balancing light harvesting by photosystems I and II. Introgressing the tolerance into modern tomato hybrid lines, results in up to 20% yield increase, showing that limitations for crop productivity, caused by the adaptation of plants to the terrestrial 24-h day/night cycle, can be overcome.

Introduction

Experiments in the 1920s revealed that tomato (Solanum lycopersicum) plants, when grown under continuous light (CL), develop a potentially lethal injury characterized by mottled leaf chlorosis and necrosis1. However, many other plant species, like the model plant Arabidopsis (Arabidopsis thaliana)2,3, pepper (Capsicum annuum)4,5,6,7,8, lettuce (Lactuca sativa)1,9 and rose (Rosa x hybrida)10,11 are not injured by CL. Hence, the high sensitivity to CL of tomato, an emerging model organism for the Solanaceae family and fleshy fruited plants12, is intriguing and has motivated plenty of research efforts (see Supplementary Table 1 for complete literature list and for reviews see refs 13, 14, 15). More than eight decades after the original discovery, however, the physiological basis of this CL-induced injury remains poorly understood.

In contrast to natural day/night cycles, CL implies continuous energy supply for photosynthesis, continuous photooxidative pressure, continuous signalling to the photoreceptors and a mismatch between the internal circadian clock frequency and the external light/dark cycle known as circadian asynchrony13. The importance of these four components on the CL-induced injury has been previously investigated in several experimental setups. For instance, carbohydrate accumulation, which presumably results from continuous energy supply for photosynthesis, has been regarded for a long time as a potential trigger of CL-induced injury1,7,13,16. The photoinhibition and adaptation of photosystems I and II (PSI and PSII) have been studied in CL-grown tomatoes by ref. 8. Addition of far-red light to the CL treatment reduced injury symptoms17, suggesting an involvement of phytochromes. Finally, the role of circadian asynchrony on the CL-induced injury has been examined and/or suggested in several papers13,18,19,20,21. However, concluding which component induces the injury is not simple because, in most cases, CL affects all four components simultaneously. We have proposed that a combination of these components could induce the injury rather than a particular one on its own13.

Understanding why CL injures tomato plants is not only valuable for fundamental research but also has potential applications, as tomato is the most important vegetable crop worldwide. Under greenhouse conditions, a tomato crop simulation model, TOMSIM22, predicted that a hypothetical CL-tolerant tomato genotype, would yield between 22 and 26% more fruits when using supplementary lighting for 24 h per day (CL) in comparison with using supplementary lighting only for 18 h per day during daytime under Dutch greenhouse conditions23.

In this study, we locate CL tolerance, mapping to the lower arm of chromosome 7, in eight wild tomato accessions. Genetic evidence, RNAseq data, silencing experiments and sequence analysis all point to the type III Light Harvesting Chlorophyll a/b Binding protein 13 (CAB-13) gene as a major factor responsible for the tolerance. By introgressing the tolerance into modern tomato F1 hybrid lines, we achieve up to a 20% yield increase. This not only proves that limitations for crop productivity, caused by the adaptation of plants to the terrestrial 24-h day/night cycle, can be overcome but also opens new research lines in the most important process of photosynthesis.

Results

CL tolerance across the Solanum genus

Looking for CL tolerance, we exposed nine wild tomato accessions to CL. All but one wild tomato accessions (Solanum pimpinellifolium LA1589) were CL tolerant (Supplementary Table 1). We also tested several S. lycopersicum genotypes including reference lines (Heinz, Moneyberg, Moneymaker and M82), a modern inbred line (A131), F1 hybrid cultivars (for example, Encore, Tourance and Westland), rootstocks (for example, Maxifort) and an heirloom variety (Sub-Arctic Plenty); all genotypes but one (Sub-Arctic Plenty) were CL sensitive (Supplementary Table 1). From literature, we collected phenotypic data of additional wild tomato species, inter-species hybrids, modern F1 hybrid tomato cultivars, heirloom tomato varieties and related species like potato (Solanum tuberosum) and eggplant (Solanum melongena). The occurrence of CL tolerance and sensitivity across the Solanum genus facilitates physiological and genetic studies on this trait.

CL tolerance is a dominant trait

We used 96 introgression lines (IL) from three populations, genotyped with 384 single-nucleotide polymorphism (SNP) markers, to map the CL tolerance. All lines carrying an introgression in the lower arm of chromosome 7, derived from a CL-tolerant wild donor, were CL tolerant (Supplementary Table 1). CL tolerance was initially mapped between SNP markers 19 and 22 (Fig. 1a). To investigate the inheritance of the trait, CL-tolerant IL-21 (here after named ‘CLT’) and 22, both from the LA2133 × A131 population, were crossed with their recurrent CL-sensitive parent (A131). F1 progeny were all CL tolerant, indicating that the trait is dominant. F1 plants were self-fertilized to produce an F2 generation; when 769 plants were exposed to CL, they segregated 2.95:1.05 tolerant:sensitive (568 tolerant:201 sensitive, X2 [3:1]=0.53; P=0.47). This strongly suggests that CL tolerance is a monogenic, dominant trait. Using F2 plants with a recombination between markers 19 and 22, 18 F3 families were generated. After genotyping with additional SNP markers, the plants were exposed to CL, and the CL tolerance locus was fine-mapped between markers 7-20-1A and 7-20-1B. The physical distance between these markers is ~25 kb, and only four genes are located between them; when identifying the gene responsible for the CL tolerance, additional genes in the vicinity were considered (Fig. 1b).

Figure 1: Chromosomal localization of CL tolerance.
figure 1

(a) The CL tolerance locus is located in the lower arm of chromosome seven (grey columns). Based on the public tomato reference genome v2.40 (ref. 24), SNP markers positions are in Mpb. White horizontal bars represent S. lycopersicum alleles, and black bars represent non-S. lycopersicum alleles in several CL-tolerant IL (see accession number of each parent at the top). All alleles are homozygous for either parent. According to 361 additional markers, the other eleven chromosomes are homozygous for S. lycopersicum (with the exception of two markers in some lines; these exceptions have no relevance for the CL tolerance localization). All non-S. lycopersicum parents are CL tolerant; hence, the CLT locus was initially mapped between markers 19 and 22 (1.2 Mbp) and represented by a horizontal blue bar. From the LA2133 × A131 population, IL-21 is named ‘CLT’ and used for further research in this study. (b) After fine mapping CL tolerance in ‘CLT’ F3 families, the locus was further located between markers 7-20-1A and 7-20-1B, which segregated as tolerant in the F3. Markers 7-20-1 and 7-20-1C segregated as sensitive in the F3. The CAB-13 gene (Solyc07g063600.2) contains the marker 7-20-1B, which is associated with CL tolerance, and its role in the CL tolerance was further tested in this study.

After pooling publicly available tomato and wild tomato genome sequences24,25 and RNAseq-derived transcriptomes (details below), we compared the sequence of all genes in the CL tolerance locus vicinity belonging to five CL-tolerant and five CL-sensitive genotypes (Supplementary Table 2). In addition, Supplementary Table 3 shows the expression of all genes in the CL tolerance locus evaluated with RNAseq. From all genes in the locus, the type III Light harvesting chlorophyll a/b binding protein 13 gene (LHCB type III CAB-13 or CAB-13, Solyc07g063600.2) is the most likely candidate to confer tolerance to CL, as it was downregulated when exposed to CL in A131 plants, a 9-base deletion was detected in its promoter region in all CL-sensitive lines and it is known to be involved in light harvesting for photosynthesis (Supplementary Tables 2 and 3).

CAB-13 silencing impairs CL tolerance

To confirm that CAB-13 is responsible for the CL tolerance in tomato, we silenced its expression in a CL-tolerant line (CLT) using virus-induced gene silencing (VIGS). The chlorophyll fluorescence parameter Fv/Fm, which is widely used to assess biotic and abiotic stress26, was selected to quantify the level of CL-induced injury. The parameter Fv/Fm represents the maximum quantum efficiency of PSII; therefore, the lower the Fv/Fm value, the higher the injury is. The tomato CAB-13 gene consists of three exons; a unique region from exon 3 was cloned into the VIGS vector pTRV27,28 (Fig. 2a). The pTRV::PDS27 and pTRV::GUS29 constructs were used as positive and negative controls, respectively.

Figure 2: CAB-13 is involved in CL tolerance in tomato.
figure 2

(a) Structure of the tomato CAB-13 gene on chromosome 7, consisting of three exons. The mRNA is depicted with green arrows and the coding region with yellow arrows. Red arrows indicate the primers used for VIGS and RT–qPCR. A molecular marker associated with CL tolerance is also indicated. (b) Maximum efficiency of PSII (Fv/Fm) of A131 and CLT plants treated with several pTRV constructs before (left panel, 16-h photoperiod) and after exposure to CL (right panel, CL). Values represent mean±s.e.m., n=4 plants. Asterisks represent statistical difference between pTRV::GUS and pTRV::CAB-13 (other contrasts are not presented); *P<0.05, **P<0.01, Fisher’s protected LSD test. Scale bar, 2 cm. (c) CL-induced injury in Mock, pTRV::GUS, pTRV::CAB-13 and pTRV::PDS-treated A131 and CLT plants as seen by RGB images (left) and chlorophyll fluorescence images (right). Notice the characteristic mottled chlorosis induced by CL (indicated with arrows). (d) Promoter region of CAB-13 of several CL-sensitive and -tolerant lines. Predicted regulatory elements are highlighted with blue and green arrows (see Supplementary Table 4 for the complete list). Notice the 9-pb deletion of GT-1 binding site shared by all CL sensitive lines (with the exception of Sub-Arctic Plenty).

Regardless of the tomato genotype, all pTRV::PDS-infiltrated plants showed photobleaching symptoms (Supplementary Fig. 1), indicating that pTRV infection efficiency was close to, or even at, 100%. As expected27, the occurrence of photobleached spots within these plants was patchy (Supplementary Fig. 1a). Therefore, the reverse transcriptase quantitative PCR (RT–qPCR) data of all pTRV-infected plants (Supplementary Fig. 1b) should be taken with caution as, unlike chlorophyll fluorescence imaging, only a small leaf area was sampled. Under 16-h photoperiod, CLT and control A131 plants infiltrated with pTRV::CAB-13 showed slightly lower Fv/Fm than control plants infiltrated with pTRV:GUS (Fig. 2b), yet no chlorosis was observed. After 3 weeks of CL, the Fv/Fm was low in all A131 plants regardless of the VIGS construct, but CLT plants kept a high Fv/Fm with the exception of pTRV::CAB-13 infiltrated plants (Fig. 2b). In addition to the low Fv/Fm, these plants showed interveinal chlorosis characteristic of the CL-induced injury (Fig. 2c). Considering that (i) the leaf area imaged with the chlorophyll fluorescence camera was much larger than the leaf area harvested for qPCR and that (ii) the appearance (at the expected time and in the expected leaves) of the characteristic CL-induced interveinal chlorosis in CL-tolerant plants after exposure to CL unequivocally indicates that the tolerance has been broken, the results show that CAB-13 plays a key role in the CL tolerance in tomato.

A deletion in CAB-13 is present in all sensitive lines

To further investigate the role of CAB-13 in the CL tolerance, the PlantPAN30 tool was used to identify regulatory elements in the promoter region. Among others, tomato CAB-13 promoter contains putative regulatory elements associated to light-responsive, photosynthetic and circadian clock-controlled genes like GT-1 consensus31, SORLIP2AT32, −10PEHVPSBD33, GATA box34 and the EVENINGAT35; all identified putative regulatory elements are summarized in Supplementary Table 4. Remarkably, one of these regulatory elements, the second copy of GT-1 consensus, is deleted in all CL-sensitive lines (Fig. 2d), suggesting that GT-1 transcription factor is involved in the CL tolerance/sensitivity in tomato.

Interestingly, Sub-Arctic Plenty cultivar also has a deletion of GT-1 consensus, comparable with sensitive cultivars (Fig. 2d), yet they are CL tolerant (Supplementary Table 1). We were not able to find in literature a described cross with a CL-tolerant wild tomato in its lineage36,37. Therefore, a CAB-13-independent CL tolerance in Sub-Arctic Plenty cannot be ruled out. Considering that Sub-Arctic Plenty tomato cultivar was bred in the most northern agricultural research establishment in Canada (The Beaverlodge Research Farm, http://www4.agr.gc.ca)37, an unintended selection for CL tolerance, driven by long summer days, is a possibility.

Disruption of carbohydrate metabolism and photosynthesis

To identify metabolic pathways altered by CL in uninjured leaves, we performed gene expression analysis and gene ontology (GO) enrichment analysis on RNAseq-derived data. First, we identified differentially expressed genes in the contrasts CL A131 versus 16 h A131 and CL A131 versus CL CLT (Fig. 3 and Supplementary Tables 5 and 6). The first contrast evaluates the effect of CL in A131 plants, and the second one evaluates the genotype effect under CL. From the 31,350 genes that passed quality control, we found 5,870 and 2,806 differentially expressed genes in response to CL and genotype, respectively (Fig. 3a); Fig. 3b shows cluster analyses for each contrast. The number of genes differentially regulated in both contrasts was 1,943; hence, the differentially regulated genes that responded exclusively to CL or genotype were 3,927 and 863, respectively. In the GO enrichment analysis, 19 and 17 GO terms were found significantly enriched for each contrast. Data are summarized in Fig. 4; the closer two given terms lie in the semantic space38 (x and y coordinates), the more similar they are. In addition, the size of each GO term indicates how general it is, and the colour indicates the significance of enrichment (Fig. 4). Among others, the GO terms ‘carbohydrate metabolic process’, ‘chlorophyll biosynthetic process’, ‘photosystem I reaction centre’ and ‘chlorophyll binding’ were enriched when A131 plants are exposed to CL. Similarly, the terms ‘carbohydrate metabolic process’, ‘chlorophyll binding’ and ‘heme binding’ were enriched in CLT as compared with A131 when exposed to CL. These results indicate that photosynthesis and carbohydrate metabolism are strongly affected by CL at the transcriptional level, even in adult, uninjured leaves (Fig. 3c).

Figure 3: RNAseq analysis.
figure 3

(a) Venn diagram showing the number of differentially regulated genes between A131 exposed to 16-h photoperiod and CL (left, orange) and between A131 and CLT exposed to CL (right, blue). (b) Hierarchical clustering of differentially regulated genes. A single coloured horizontal line represents each gene. The colours represent the relative expression level of that gene, n=3. (c) Chlorophyll fluorescence images of representative leaves used in the experiment. Scale bar, 2 cm.

Figure 4: GO enrichment analysis.
figure 4

GO terms significantly enriched for two contrast (see labels at the left) and three GO categories (see labels at the top). Each circle represents a GO term. Within the Cartesian coordinates (x,y), the closer the circles rest, the more related the GO terms are. The size of the circles is proportional to the number of child GO terms. The circle colour represents the significance of the enrichment.

Development is not affected in tolerant lines

Parallel to our genetic and physiological work, we also developed and tested an application of the CL tolerance. After years of breeding (up to six generations), F1 hybrid lines, tolerant to CL, in the background of elite commercial cultivars (Idooll and Westland) were used in a yield trial in the 2012–2013 winter season. Pilot trials done in previous years showed that compensation measures were needed for the extra assimilates available under CL. Therefore, crop density was increased, CL was applied gradually only starting after the crop became generative (Fig. 5a) and the temperature was managed according to each treatment needs. The resulting climate conditions within the greenhouse are reported in Supplementary Fig. 2.

Figure 5: Developmental measurements during the yield trial.
figure 5

Measurements were done on Idooll F1 CL-tolerant and -sensitive homozygous lines; parent lines where backcrossed four times with a CL-tolerant introgression line, being Solanum pennellii the wild donor. (a) Hours a day that the lamps where on. Between November and December, the photoperiod set point was increased in 4 and 5 steps from 10 and 12 to 16 and 24 h per day, respectively. During the dark winter months of December and January, the lamps are on during the complete ‘light’ period. Later during the season, however, solar irradiance was, at times, high (>350 W m−2) so lamp use was not needed during some hours a day to achieve the set point of 16 and 24 h of light per day. (b) Flowering truss number. (c) Cumulative set fruits. (d) Number of fruits per stem. Around February, the CL-sensitive tomato plants exposed to CL became so sick, that we were forced to prune trusses in order to save the plants and keep the trial going. (e) Cumulative stem length. (f) Length of the topmost fully expanded leaf. (bf) Measurements were done weekly, values are mean±s.e.m. (grey shadow), n=4.

To better understand how CL affects development and ecology of the crop in the long term, we took weekly measurements of key parameters that, if affected, could have an impact on yield (Fig. 5). No difference was found in flowering truss appearance rate between CL-tolerant plants cultivated under 16-h photoperiod and CL (Fig. 5b). Considering that average daily temperature was similar in both photoperiods (Supplementary Fig. 2c), these results indicate that CL does not have an effect on development rate in tomato. Similarly, we found no effect of CL on fruit set in CL-tolerant plants (Fig. 5c). In CL-sensitive plants, in contrast, CL injured the plants so badly that development and fruit set were severely reduced (Fig. 5b,c). Around February, actually, trusses from CL-sensitive plants cultivated under CL were pruned in order to rescue the plants and to proceed with the experiment—a dead plant within the crop would mean a disruption in the canopy structure that could compromise the validity of the trial. Figure 5d shows the resulting truss load. Regardless of the light treatment, flowers opened only during daytime and closed during the night or subjective night. This indicates that the circadian clock was still running in the plants and was probably reset by daily changes in temperature and light. Given that bumblebees were only allowed to exit the hive between sunrise and sunset, we encountered no problems with pollination. As seen in Fig. 5e, CL had no effect on stem elongation, but the CLT was longer than the CL-sensitive line. To avoid differences in light interception by the different lines, we kept the top of each plant at the same height. CL-exposed tomato leaves tend to have smaller leaf area20. The weekly leaf length measurements (Fig. 5f) showed shorter leaves. The visibly open canopy observed in the CL-grown crop most likely resulted from a lower leaf area.

Photosynthesis during CL in tomato

To know whether CL-tolerant plants can use the artificial light provided during night to efficiently fix carbon, we measured photosynthetic gas exchange every minute during 2 days and nights using ambient light. Regardless of the photoperiod, photosynthesis rate closely correlated with light intensity (Supplementary Fig. 3a,b). We found no difference in the quantum efficiency of CO2 fixation (ΦCO2) between day and night in CL-cultivated plants (Supplementary Fig. 3c), indicating that CL-tolerant plants are able to use the artificial light provided at night to efficiently fix CO2.

To assess the effects of CL on photosynthesis in more detail, we performed photosynthesis measurements using combined gas exchange and chlorophyll fluorescence techniques. In representative leaves of each genotype and light treatment, leaf absorbance across the photosynthetically active spectrum was measured (Fig. 6a) and later used in computation of several parameters. As expected, CL-injured leaves had a lower leaf absorbance as the result of chlorosis. Light and CO2 response curves showed that photosynthesis greatly diminished in CL-sensitive tomatoes when grown under CL (Fig. 6b,c). In contrast, CL-tolerant leaves only showed a slight decrease in photosynthesis rate across light and CO2 levels. This decrease could not be attributed to a single aspect of the photosynthetic machinery as most of the estimated parameters of the Farquhar-von Caemmerer-Berry (FvCB)39 model were slightly diminished in CL-tolerant tomatoes when grown under CL (Table 1). Figure 6d shows the relation between the quantum efficiency of PSII e flow (ΦPSII) and the quantum efficiency of CO2 assimilation (ΦCO2). The data fitted well to the FvCB model as indicated by high r2 values (>0.98); although this was not the case for data from CL-sensitive leaves exposed to CL (Table 1), photosynthetic parameters estimated from these leaves should be taken with caution as a large variation from leaf to leaf was observed in CL-injured leaves.

Figure 6: Photosynthetic responses of tomato leaves to CL.
figure 6

(a) Absorbance of CL-tolerant and -sensitive leaves developed under 16-h photoperiod or CL. Mean±s.e.m. (grey shadow), n=3. (b) Response of J (electron transport) to light (PPFD). Mean±s.e.m., n=4. Lines were drawn by fitting the predicted parameters (Table 1) to the FvCB model. (c) Response of photosynthesis to intracellular CO2 concentration (Ci). Mean±s.e.m., n=4 leaves. Lines were drawn by fitting the predicted parameters (Table 1) to the FvCB model. (d) Relationship between the quantum efficiency of PSII e flow on PSII-absorbed light basis (ΦPSII) and the quantum efficiency of CO2 assimilation on the leaf PPFD-absorbed basis (ΦCO2) in CL-tolerant and -sensitive leaves developed under 16-h photoperiod or CL.

Table 1 Photosynthetic parameters of CL-tolerant and -sensitive tomato leaves developed under 16-h photoperiod or CL.

CL can increase tomato yield

As expected, most CL-sensitive tomato lines yielded less kilograms of tomatoes per m2 when grown under CL as compared with 16-h photoperiod (Fig. 7). In contrast, continuous light tolerant lines produced the same or more tomatoes under CL than under 16-h photoperiod. The yield increase was up to 20% in the line with the highest number of backcrosses (CL-tolerant homozygous, Idooll_pen5940). Even though some continuous light tolerant lines did not show significant yield increase at the end of the trial (April 2013, Fig. 7), they did show a trend to yield more under CL than 16-h photoperiod up to mid March 2013 (Supplementary Fig. 4). Considering that most of the lines showing significant yield increase under CL were heterozygous for CL tolerance, a potential linkage drag could explain why no clear trend in tomato yield was observed when comparing the CL-sensitive lines cultivated under 16-h photoperiod with the continuous light tolerant lines cultivated under CL. Remarkably, a heterozygous continuous light tolerant line cultivated under CL achieved the highest yield (21.4 kg m−2).

Figure 7: Yield under 16-h photoperiod and CL.
figure 7

Each panel depicts the yield of F1 hybrids grouped in four categories; in each category, several CL-tolerant IL were backcrossed with the parents of ‘Idooll’ or ‘Westland’ F1 commercial hybrids (see background and wild donor on the right). After 3–4 backcrosses, the newly bread parents, segregating as CL-tolerant or -sensitive, were used to generate homozygous or heterozygous and tolerant or sensitive Idooll and Westland F1 hybrids (see labels at the bottom). Mean±s.e.m., n=3 plots. Within each of the four groups, bars with different letter are statistically different (P<0.05), Fisher’s protected LSD test.

Discussion

It is well known that domesticated tomatoes are sensitive to CL; interestingly, S. pimpinellifolium, the closest relative of domesticated tomatoes24, is CL sensitive too (Supplementary Table 1). In contrast, all other tested wild tomatoes are tolerant to CL. This suggests that this trait was lost during domestication. Whether tolerance to CL provides an adaptive advantage in nature is not known since CL does not exist in nature, as it is achieved with artificial light13. Here, nevertheless, for the first time since its discovery nearly half a century ago40, the CL tolerance present in wild tomato species was used for research and tested in practice. It was found that the CAB-13 gene is a key component of the CL tolerance found in wild tomato species. It was also shown that CL influences carbohydrate metabolism and photosynthesis, yet plant development and fruit set are unaffected. Finally, our results show that the concept of increasing tomato yield using this trait and CL is feasible.

Genetic (Fig. 1), gene expression (Supplementary Table 3), silencing (Fig. 2) and sequence data (Fig. 2 and Supplementary Table 2) all point to the CAB-13 gene as responsible for CL tolerance in wild tomatoes, hypothetically, as a result of two copies of GT-1 consensus in its promoter. CAB-13, a type III LHCB, belongs to the LHC supergene family. In Arabidopsis, this supergene family encodes six very similar proteins (LHCB1-6) (ref. 41). Tomato CAB-13 gene is homologous to Arabidopsis LHCB3. In Arabidopsis, LHCB1–3 form the ‘major’ trimeric LHCII antenna complexes, and LHCB4–6 form the monomeric ‘minor’ antenna complexes42. The antenna complexes harvest light and transfer the energy to the PSII core; together they constitute the PSII–LHCII supercomplex (see ref. 43 for a recent review). In Arabidopsis, absence of LHCB3 results in alterations of the composition, structure, stability and efficiency of PSII–LHCII supercomplexes42,44,45,46. For instance, LHCB3 can be replaced by LHCB1 and/or LHCB2, but the resulting LHCII trimer binds to the PSII–LHCII supercomplex in a slightly altered position44. In knockout plants lacking LHCB3 (koLhcb3), the PSII–LHCII supercomplex stability is compromised in such a way that it lacks some LHCII subunits42. Similarly, high-light-acclimated plants show a reduction in LHCB3, which leads to higher PSII quantum yield of charge separation and supercomplexes lacking the same subunits as in koLhcb3 plants45,46. Here, we have shown that CL induces downregulation of tomato CAB-13, and that CL exposure results in higher CAB-13 expression in CL-tolerant plants than in CL-sensitive plants (Supplementary Table 3). This suggests that CL alters CAB-13 levels and PSII–LHCII supercomplex structure.

The absorption spectra and quantum efficiencies of PSI and PSII are different, yet they work in series. For maximum efficiency, balanced excitation of PSI and PSII is vital. In response to short-term changes in light intensity and quality, LHCII trimers can move between PSI and PSII in order to keep both photosystems equally excited—a process that requires LHCII trimer phosphorylation and is known as state transitions47. After long-term acclimation to natural light conditions, ‘extra’ LHCII trimers (composed by LHCB1–2) are associated with both PSII and PSI; the formation of PSI–LHCII complexes appears to be required for balanced excitation of both photosystems in the long term48. Interestingly, in koLhcb3 leaves, the rate of state transitions (LHCII from PSII to PSI direction) is enhanced and the level of LHCII trimer phosphorylation is higher, suggesting that LHCB3 modulates the rate of state transitions44. Considering that LHCII phosphorylation and LHCB expression are possibly co-regulated49, the true importance and function of LHCB3 might be more than what our current knowledge suggests. The GO terms ‘chlorophyll binding’ and ‘PSI reaction centre’ were significantly enriched when A131 plants are exposed to CL, thus suggesting that the CL-induced injury in tomato might be the result of unbalanced excitation of PSI and PSII.

Deletion of the GT-1 consensus binding site in CL-sensitive lines (Fig. 2) suggests a connection between the CL-induced injury and light signalling. GT-1 binding sites are present in many light-regulated genes like LHC proteins (also known as Cab), the small subunit of Rubisco (RbcS) and phytochrome A31. Upon Ca2+-dependent phosphorylation, GT-1 transcription factor binds to the DNA sequence 31,50,51. GT-1 binding sites are often found in tandem31. For instance, the pea RbcS-3A promoter contains six GT-1 binding sites52, yet a −166 deletion shows that the presence of only two of them, named boxII and boxIII, is sufficient for transcription53. Early studies suggested that both boxII (−150, positive strand) and boxIII (−124, negative strand) are needed for expression54; however, it was later shown that instead of the core GT-1 binding site of boxIII, a GATA motif partially overlapping with boxIII is absolutely required for transcription, together with boxII55. Interestingly, the tomato CAB-13 promoter in CL-tolerant tomatoes shows some similarities with the pea RbcS-3A promoter; it contains a GT-1 binding site at −50 (positive strand) and another one, partially overlapped with a GATA motif, at −105 (negative strand) (Fig. 2). Hence, the missing GT-1 binding site at −50 in all CL-sensitive tomato lines could be responsible for the lower expression of CAB-13 in CL-sensitive lines under CL (Supplementary Fig. 1 and Supplementary Table 6). Although the GT-1 binding site of boxII and the GATA motif of boxIII are sufficient for pea RbcS-3A expression in mature leaves, sequences upstream of −170, which contain redundant GT-1 binding sites, are required for high-level expression in young developing leaves54. Considering that only young tomato leaves are sensitive to CL20,56, CAB-13 expression in developing tomato leaves exposed to CL might be affected by the absence of the GT-1 binding site. All together, we propose a hypothesis in which the absence of GT-1 binding site in the CAB-13 promoter allows a CL-induced downregulation of CAB-13 in developing tomato leaves, resulting, as discussed above, in unbalanced PSI and PSII excitation.

Hyperaccumulation of carbohydrates, observed in CL-exposed leaves, has been proposed to induce injury in tomato plants1,7,13,16. Here, GO analysis showed that CL affects carbohydrate metabolism in uninjured leaves (Figs 3 and 4). Leaf carbohydrate quantification shows that glucose and fructose concentrations are higher in CL-tolerant (CLT) than in CL-sensitive (A131) tomato plants when grown under 16-h photoperiod, and in both genotypes CL decreases glucose and fructose content. No interaction between genotype and photoperiod was observed. Interestingly, when grown under CL, sucrose content is constantly high in both genotypes (Supplementary Table 7); in other words, sucrose accumulation occurs in both CLT and CL-sensitive A131 plants. If sugars play a role in inducing injury and/or downregulating photosynthesis under CL, these observations suggest that CL tolerance in CLT tomatoes is downstream carbohydrate accumulation. A recent study suggested that the tomato sugar partitioning affecting protein, a DnaJ chaperone-related protein, mediates sink–source relationships by increasing the leaf capacity to export sugars57. In our RNAseq data set, CL slightly downregulated sugar partitioning affecting (Solyc04g081320.2) expression (logFC=−1.057, false discovery rate (FDR) P-value=0.002) in A131 plants, yet no effect was found between A131 and CLT tomato plants under CL (FDR P-value=0.066) (see Supplementary Data 1).

Regarding a potential application of CL tolerance, it was shown that the trait can easily be introgressed into domesticated tomato with various genetic backgrounds (A131, M82, Moneyberg, Idooll and Westland) using several wild donors (Solanum neorickii, Solanum pennellii, Solanum habrochaites and Solanum chilense). In addition, the yield trial has shown that tomato yield per m2 can be increased using CL-tolerant tomato lines, up to 20% (Fig. 7). Such yield increase agrees with the crop model computations, which predicted that the theoretical maximum yield increase achievable by cultivating tomatoes under CL is 22% when applying a similar photoperiod increase23. Nonetheless, this simulation study assumed no crop adaptations to CL, but we have observed some adaptations that could have a significant impact on yield. For instance, day respiration was higher in the tolerant genotype (Table 1) and leaves were smaller when exposed to CL (Fig. 5f) which negatively influences light interception. Further increasing crop density could solve this and, predictable, could further increase yield under CL.

Understanding why CL increases yield is a question of much interest. However, the yield trial was not designed to answer this question but rather to succeed in cultivating tomatoes under CL for the first time. Nonetheless, the results suggest that the observed yield increase was achieved by a combination of higher crop density, which was only made possible by the use of CL, and ‘night’ photosynthesis (Supplementary Fig. 3a); however, unquantifiable, at least in this study, contributions of other factors, like altered canopy structure (Fig. 5), higher day respiration in CLTs (Table 1) and unknown, yet potential, effects on assimilate partitioning and leaf senescence, prevent us from assigning a numeric contribution of each factor to the observed yield increase.

Although the involvement of other genes in the CLT locus (Fig. 1) cannot be completely discarded with the evidence presented here, multilevel evidence presented in this study supports the involvement of CAB-13 in this trait. This implies that photosynthesis and the PSII antenna are involved in the CL-induced injury at a higher degree than previously thought. Nonetheless, the role of carbohydrate metabolism, light signalling and the circadian clock cannot be ruled out. The identification of wild tomato CAB-13 as responsible for the CL tolerance is a significant breakthrough, and it is the base of further research on photosynthesis and its interaction with carbohydrate metabolism, light signalling and the circadian clock.

Methods

Plant materials and genetic stocks

All tomato (S. lycopersicum) varieties as well as introgression line populations and wild tomato species used in this study were provided by Monsanto Holland B.V. (Bergschenhoek, The Netherlands) with the exception of Sub-Arctic Plenty, of which seeds came from Thompson & Morgan (Ipswich, Suffolk, UK). IL from three populations were used to map the CL tolerance trait. The first IL population is a BC3F3 S. neorickii (LA2133) × S. lycopersicum A131 consisting of 43 lines. This population was originally developed and described by ref. 58. The original BC2F5 S. neorickii (LA2133) × S. lycopersicum E6203 population was backcrossed with the inbred line A131 to obtain the BC3F3 population that was used in this study. In this IL population, the S. neorickii chromosomes are reasonable well represented; only the bottom of chromosome 1 and 8 and the top of chromosome 11 are not presented in the population. The ‘CLT’ line used in the RNAseq experiment belongs to this population. The second population is a S. chilense (LA1959) × S. lycopersicum Moneyberg consisting of 49 lines. The population consists for 2/3 of BC4F3 and 1/3 of BC4F4 lines. The S. chilense chromosomes are well represented in the IL population except for the top of chromosome 5 and 6. The third IL population is a BC3F4 S. pennellii (LA0716) × S. lycopersicum M82 consisting of 49 lines of which only five lines with an introgression on chromosome 7 were used. This population was developed and described by ref. 59.

For the yield trial, several CL-tolerant IL were backcrossed with the parents of ‘Idooll’ or ‘Westland’ F1 commercial hybrids (Monsanto Holland B.V.). The wild donors of CL tolerance in those IL were S. habrochaites (lines hir135 and hir345) and S. pennellii (line pen5940). After 3–4 backcrosses, the newly bred parents, segregating as CL tolerant or sensitive, were used to generate homozygous or heterozygous and tolerant or sensitive Idooll and Westland F1 hybrids.

Genotyping IL

IL were genotyped with 384 SNP markers using a custom GoldenGate genotyping assay (Illumina, San Diego, California, USA). The sequences, alleles, accession numbers and positions of the 27 SNP markers that mapped to chromosome 7 can be found in Supplementary Table 8. Genomic marker positions were based on the public tomato reference genome v2.40 (ref. 24).

Growth conditions and treatments

For phenotyping CL tolerance of tomato varieties, introgression line populations and wild tomato species, plants were grown in climate cells at Monsanto Holland B.V. (Bergschenhoek, The Netherlands). Plants, at least four repetitions, were sown in rockwool, irrigated with hydroponic nutrient solution and grown at 21 °C and 70% RH. After growing the plants for 2 weeks under fluorescent tubes at an intensity of 120 μmol m−2 s−1 under 16-h photoperiod, plants were exposed to CL at an intensity of 120 μmol m−2 s−1 provided by high-pressure sodium (HPS) lamps. A genotype was called CL sensitive if all replicates (n=6) showed interveinal, mottled chlorosis in young, fully expanded leaves. A genotype was called CL tolerant if the entire foliage of all replicates (n=6) showed neither signs of chlorosis nor necrosis after at least 6 weeks of exposure to CL.

Plants used for the RNAseq analysis and VIGS experiments were grown in climate cells at Wageningen University (Wageningen, The Netherlands). Plants were sown in rockwool, irrigated with hydroponic nutrient solution and grown at 21 °C and 70% RH. Light was provided by HPS lamps (Master SON-T Green Power 400 W, Philips, Eindhoven, The Netherlands) and supplemented with incandescence lamps (Philinea T30 120 W, Philips) at an irradiance of 350 μmol m−2 s−1; red-to-far-red ratio was 2.873, and the phytochrome photostationary state60 was 0.857. After growing the plants for 4 weeks under 16-h photoperiod, plants were exposed to CL by leaving the lamps (HPS and incandescent) continuously ON without changing any other setting.

RNAseq and GO enrichment analyses

One-month-old A131 and CLT plants were transferred to CL. After 1 week of treatment, the leaflets of the topmost fully expanded leaf (fifth true leaf) were harvested for sequencing the transcriptome using SOLiD3 technology (Applied Biosystems, Foster City, California, USA). The raw reads were mapped to the public tomato genome v2.40 (ref. 24), using the ITAG gene annotations v2.3 and the CLC Genomics software v5.1.6 (CLCbio, Aarhus, Denmark). Further analysis was performed in R (ref. 61) exclusively using reads that mapped to a single place in the genome. To find differentially expressed genes the R package ‘edgeR’ was used62. Only genes with an expression higher than 0.01 counts per million in at least three samples were used for further analysis. A trimmed mean of M-values normalization procedure accounted for library size63. A generalized linear model procedure of ‘edgeR’ tested for differentially expressed genes in the contrasts A131 CL versus A131 16h and A131 CL versus CLT CL. Genes were called differentially expressed when its FDR-corrected P-value was lower than 0.05.

The R package ‘GOseq’ was used for GO enrichment analysis64. First, the GOseq procedure calculated the probability that a gene was called differentially expressed as a function of its length; this probability was then included into the statistical model. This prevents that a GO category is called significantly enriched if contains an above-average number of long or short genes. The most accurate ‘sampling method’, included in GOseq, tested each GO category. GO categories containing less than three genes were filtered out. A GO category was called significantly enriched when its FDR-corrected P-value was lower than 0.05. The results were visualized using the R package ‘REVIGO’38.

VIGS

RNA was extracted from a 3-week-old CLT tomato plant according to ref. 65 and purified with silica membranes columns. In short, 50 mg of frozen pulverized leaf tissue was homogenized with 500 μl of extraction buffer (350 mM glycine, 48 mM NaOH, 340 mM NaCl, 40 mM EDTA and 4% SDS) at 50 °C. Then the homogenate was extracted three times with phenol/chloroform/isoamyl alcohol (25:24:1 v/v), and later RNA was precipitated with 120 μl of 8 M LiCl. After washing the RNA with 500 μl of ethanol 70% (v/v) at −20 °C, RNA was dissolved in 87.5 μl of RNA-free water. Finally, the RNA was purified with RNeasy spin columns (Qiagen, Venlo, Netherlands).

cDNA was synthesized with iScript (Bio-Rad, Hercules, California, USA) and PCR amplified using high fidelity polymerase (Invitrogen, Carlsbad, California, USA) with the primers 5′-ATTCTAGCAGTATTGGG-3′ and 5′-TCTTCCGTTCTTGATTTCCT-3′. The resulting 189-pb Lhcb3 fragment was found to be unique after blasting its sequence to the reference tomato genome. This fragment was cloned into pCR4Tm4Blunt TOPO plasmid (Invitrogen), and competent Escherichia coli (DH5αTM-T1R) cells (Invitrogen) were transformed and grown on agar plates with kanamycin (10 mg ml−1). The plasmid was digested with EcoRI, and the fragment cloned into EcoRI-linearized pTRV2 VIGS vector27,28; then DH5α cells were transformed by electroporation and selected with kanamycin. After confirming fragment and plasmid integrity by sequencing and restriction analysis (XcmI and EcoRI), respectively, the pTRV2::Lhcb3 plasmid was cloned into Agrobacterium tumefaciens strain pCH32-C58C1 by electroporation. Previously described pTRV::PDS27 and pTRV::GUS29 constructs were used as positive and negative controls, respectively. Agrobacterium culture containing pTRV1 was mixed with each of the pTRV2-derivate cultures at 1:1 ratio at a final O.D.600=0.8 and used to inoculate 10-day-old A131 and CLT tomato plants grown under 16-h photoperiod following the procedure of66. Two and a half weeks after infiltration, pTRV2::PDS-treated plants showed photobleaching symptoms. At that point, chlorophyll fluorescence images were taken and the CL treatment started. After 3 weeks of treatment, chlorophyll fluorescence images were once more taken on the topmost fully expanded leaves.

Rt–qPCR

RNA and cDNA were extracted and synthesized, respectively, as described before, but treating the RNA with DNase (Sigma). The Rt–qPCR primers for Lhcb3 were 5′-CTGCTCAAACTCCTTCATACTT-3′ and 5′-AAAGGCCTCGGGATCAGC-3′. From the RNAseq data, five genes with the most stable expression across genotypes and photoperiod treatments were selected as reference genes. The used primers and genes were 5′-GCCACTTCTCCTATCAGTTTTT-3′ and 5′-CCAAAGATGAACCCCAAAACA-3′ for Solyc03g097870.2, 5′-TGGTGCTCCCCTTCCAGC-3′ and 5′-TGGCTCTCCTCCTCCGTT-3′ for Solyc06g048410.2, 5′-ATGCCTACTCGTTACACACT-3′ and 5′-CCGGTCTTGAACCTCTCCT-3′ for Solyc06g073300.1, 5′-TTCACTGCGTGTCTTCCT-3′ and 5′-CATCTTGCTTCTCACCCTT-3′ for Solyc09g010440.2, and 5′-AAACACCAAAGACGACCTCA-3′ and 5′-CACAGACAGAACGAGATCC-3′ for Solyc12g010060.1. The geometric mean of all five genes was used to normalize Lhcb3 expression.

Sequencing and sequence alignment

The reference tomato genome sequence v2.4 (Heinz) and the draft S. pimpinellifolium genomic scaffold sequences are publicly available24. The CLT locus sequence of tomato and wild tomato lines were obtained and aligned by the 150 tomato genome consortium in collaboration with the user community25. For A131 and CLT lines, transcriptome sequences were available from the RNAseq experiment. Lhcb3 promoter sequences from selected tomato and wild tomato lines were obtained by Sanger sequencing, using the primers 5′-TGGTGCGCATGAGTCTAAACA-3′ and 5′-CCAGCAGTATCCCATCCGTAAT-3′. CLC Workbench software v6.8.4 (CLCbio) was used for sequence alignment.

Chlorophyll fluorescence imaging

Intact leaflets (attached to the plant) were dark-adapted using dark adapting clips (Li-Cor Biosciences, Lincoln, USA). After 20 min of dark adaptation, leaflets were detached and immediately used for measurements in a chlorophyll fluorescence imaging system (FluorCam, Photon System Instruments, Brno, Czech Republic). FluorCam model 700MF was used in the RNAseq experiment; in the VIGS experiment, Fluorcam 800MF was used instead. Fluorcam v.5.0 and 7.0 softwares were used to control and process the images in FluorCam 700MF and Fluorcam 800MF, respectively. In both FluorCam models, maximum quantum efficiency of photosystem II (Fv/Fm)26 was calculated following a custom-made protocol. During a period of 5 s, red–orange light-emitting diodes produced measuring light flashes (the average irradiance produced by the measuring light flashes was <0.5 μmol m−2 s−1); then a halogen lamp (FluorCam 700MF) or red–orange light-emitting diodes (FluorCam 800MF) produced a 1 s saturating light pulse. The saturating light pulses had an intensity of 2,500 and 3,500 μmol m−2 s−1 in Fluorcam 700MF and Fluorcam 800MF, respectively. In FluorCam 700MF, Fo and Fm images were recorded every 80 or 400 ms, respectively; in Fluorcam 800MF, both Fo and Fm images were recorded every 100 ms. Fluorescence images recorded during the first 5 s were averaged to produce a single Fo image, and images recorded during the latter 1-second saturating light pulse were averaged to produce a single Fm image. From these two images, a spatially resolved Fv/Fm image was constructed using the expression Fv=Fm−Fo. Leaflet average Fv/Fm was calculated using ImageJ software version 1.44o (ref. 67).

Yield trial

The yield trial was performed on two contiguous, independent greenhouse compartments on GreenQ facilities (Bleiswijk, The Netherlands) (+52° 1′ 49.05″, +4° 31′ 46.91″). Each greenhouse compartments had six gutters, and the planted area was 124.71 and 107.76 m2. All plants were grafted on Maxifort (Monsanto Holland B.V., Bergschenhoek, The Netherlands) and planted according to a completely randomized block design, consisting of four blocks. To account for a potential edge effect, plants too close to the greenhouse wall were not used for any measurement. Within each block, parcels had three plants, and each plant had two stems; the resulting densities of 2.10 and 2.45 stems per m2 was achieved by adding extra plants on the edges when needed. The crop was trained according to the high-wire system and irrigated with hydroponic nutrient solution according to standard practices. CO2 enrichment was used with a set point of 700 p.p.m. Bumblebees (Koppert Biological Systems, Berkel en Rodenrijs, The Netherlands) were used for pollination; hive exits were open only between sunrise and sunset—bumblebees cannot navigate without the sun, yet they exit the hive if lamps are on. Leaf and fruit pruning was applied when needed to keep the vegetative and generative strength equally balanced in all F1 lines. Temperature was adjusted weekly accordingly to crop development. As Dutch law prohibits opening the greenhouse screens before midnight when the lamps are ON68, the coldest period in the CL compartment was shifted to start just after midnight; the compartment at 16-h photoperiod was managed according to standard practices.

The yield trial started on the 1 October 2012 with grafted plants bearing two stems and the first flower. Photoperiod was gradually increased to 16 and 24 h of light per day, reaching the final set points on the 22 and 28 November 2012, respectively. To achieve these photoperiods, HPS lamps, with an installed capacity of ±130 μmol m−2 s−1, were used as many hours as needed; lamps were turned OFF when incoming solar irradiance was higher than 350 W m−2. On week 5, 2013, stem density was increased to 3.15 and 3.68 stems m−2. The trial was finalized on the 22 April 2013.

Yield per F1 hybrid line and per plot was recorded weekly. In addition, two F1 Idooll lines were selected for performing detailed developmental and photosynthetic measurements. These lines were selected because its parents were backcrossed the most (four times). Both lines had S. pennellii as wild donor (line pen5940); one line was homozygous CL sensitive and the other one was homozygous CL tolerant. Developmental measurements were performed weekly, and they consisted of measuring leaf and stem length, recording flowering, setting and harvested truss number and keeping record of fruit set and truss load. Photosynthetic measurements were done on week 3, 2013 on the topmost fully expanded leaf. By this time, the complete canopy had developed under the 16-h photoperiod or CL.

Photosynthesis measurements

Photosynthesis measurements were done with a gas exchange system (LI-6400, Li-Cor Biosciences). All measurements were performed with a block temperature of 21 °C. For continuously measuring photosynthesis during two day/night cycles, the standard 2 × 3 cm chamber with a clear window (Propafilm film) was used. Greenhouse air was first buffered in a 40 l container, and then used in the measurements without further conditioning. Flow rate was set at 350 μmol air per second. IRGAs where automatically matched every 30 min and data were logged every minute. Light intensity inside the leaf chamber was estimated using the readings from the quantum sensor placed outside the chamber (LI-190, Li-Cor Biosciences) corrected with the measured light transmittance of the Propafilm film. After 2 days of measurements, the enclosed leaves expanded beyond the initial 6 cm2. To correct for this change in leaf area, the leaf was detached, cut and photographed at the end of the measurements. The new area was calculated using ImageJ software version 1.44o (ref. 67). A linear change in leaf area was assumed and used to correct all gas exchange measurements.

For measuring light and CO2 response curves, a 2 cm2 leaf chamber equipped with a fluorometer was used (6400-40, Li-Cor Biosciences). At every change in light or CO2, the IRGAs where matched and chlorophyll fluorescence and gas exchange data were simultaneously logged. After dark-adapting the leaf for 20 min, Fv/Fm was measured. Then, waiting 5 min after each change, a 12-step light curve (20, 40, 60, 80, 100, 250, 500, 750, 1,000, 1,250, 1,500 and 1,750 μmol m−2 s−1) was performed at a CO2 concentration of 600 p.p.m.; below 100 μmol m−2 s−1, only red light was used (restriction of the apparatus), and from 250 μmol m−2 s−1 on, red light was supplemented with 10% blue light. Finally, waiting 3 min after each change, a 9-step CO2 curve (50, 100, 200, 300, 400, 600, 800, 1,000, 1,200 p.p.m.) was performed at a light intensity of 1,750 μmol m−2 s−1. When necessary, water vapour was scrubbed from the greenhouse air before the injection into the leaf chamber to prevent water condensation on the IRGAs lenses. Depending on the photosynthesis rate at each CO2 and light level, flow rate was carefully set between 200 and 300 μmol of air per second; during all measurements the flow rate was low enough to achieve a good signal-to-noise ratio (ΔCO2>0.2 μmol CO2 mol−1 in 96.8% of the measurements) and, yet high enough to prevent CO2 depletion in the leaf chamber (ΔCO2<30 μmol CO2 mol−1) and also to reduce diffusion leaks at the minimum. In addition, all measurements were corrected for diffusion leaks using a leak rate constant calculated according to manufacturer instructions. The parameters of the FvCB model39, were estimated combining gas exchange and chlorophyll fluorescence data according to ref. 69, with some modifications (see Supplementary Methods for details).

Statistical analysis

The observed against expected proportion in segregating F2 population was tested with a X2 test. Statistical significance of the leaflet average Fv/Fm and yield data was determined with an analysis of variance test. For the Fv/Fm data, a power transformation was used to achieve homogeneous variances. Analysis of variance and X2 tests were performed with IBM SPSS Statistics software version 19 (IBM, Somers, USA). The FvCB model parameters were estimated in Microsoft Excel using the GRG nonlinear iteration procedure.

Additional information

How to cite this article: Velez-Ramirez, A. I. et al. A single locus confers tolerance to continuous light and allows substantial yield increase in tomato. Nat. Commun. 5:4549 doi: 10.1038/ncomms5549 (2014).

Accession codes: RNAseq data generated in this study have been deposited in the NCBI Sequence Read Archive (SRA) under accession code SRP041241.

Accession codes

Accessions

Sequence Read Archive

References

  1. Arthur, J. M., Guthrie, J. D. & Newell, J. M. Some effects of artificial climates on the growth and chemical composition of plants. Am. J. Bot. 17, 416–482 (1930).

    CAS  Article  Google Scholar 

  2. Lepisto, A. et al. Chloroplast NADPH-thioredoxin reductase interacts with photoperiodic development in Arabidopsis. Plant Physiol. 149, 1261–1276 (2009).

    CAS  Article  Google Scholar 

  3. Handford, M. G. & Carr, J. P. A defect in carbohydrate metabolism ameliorates symptom severity in virus-infected Arabidopsis thaliana. J. Gen. Virol. 88, 337–341 (2007).

    CAS  Article  Google Scholar 

  4. Murakami, K. et al. Low-pungent sweet pepper selected under continuous fluorescent illumination. Acta Hort. 907, 243–246 (2006).

    Google Scholar 

  5. Masaharu, M., Hirokuni, N., Kenji, M. & Yuichi, Y. Growth and dry matter production of sweet pepper under continuous lighting of fluorescent lamps with different light qualities. J. Soc. High Technol. Agric. 16, 131–136 (2004).

    Article  Google Scholar 

  6. Murage, E. N. & Masuda, M. Response of pepper and eggplant to continuous light in relation to leaf chlorosis and activities of antioxidative enzymes. Sci. Hortic. 70, 269–279 (1997).

    CAS  Article  Google Scholar 

  7. Dorais, M., Yelle, S. & Gosselin, A. Influence of extended photoperiod on photosynthate partitioning and export in tomato and pepper plants. N Z J. Crop Hortic. Sci. 24, 29–37 (1996).

    Article  Google Scholar 

  8. Dorais, M., Carpentier, R., Yelle, S. & Gosselin, A. Adaptability of tomato and pepper leaves to changes in photoperiod: effects on the composition and function of the thylakoid membrane. Physiol. Plant. 94, 692–700 (1995).

    CAS  Article  Google Scholar 

  9. Gaudreau, L., Charbonneau, J., Vezina, L.-P. & Gosselin, A. Photoperiod and photosynthetic photon flux influence growth and quality of greenhouse-grown lettuce. HortScience 29, 1285–1289 (1994).

    Article  Google Scholar 

  10. Pettersen, R. I., Moe, R. & Gislerød, H. R. Growth of pot roses and post-harvest rate of water loss as affected by air humidity and temperature variations during growth under continuous light. Sci. Hortic. 114, 207–213 (2007).

    Article  Google Scholar 

  11. Mortensen, L. M. & Gislerod, H. R. Vase life: the influence of variation in air humidity, temperature and super-elevated CO2 concentration in roses grown under continuous light. Eur. J. Hort. Sci. 76, 63–68 (2011).

    CAS  Google Scholar 

  12. Kimura, S. & Sinha, N. Tomato (Solanum lycopersicum): a model fruit-bearing crop. CSH Protoc. 3, 1–9 (2008).

    Article  Google Scholar 

  13. Velez-Ramirez, A. I., van Ieperen, W., Vreugdenhil, D. & Millenaar, F. F. Plants under continuous light. Trends Plant Sci. 16, 310–318 (2011).

    CAS  Article  Google Scholar 

  14. Sysoeva, M. I., Markovskaya, E. F. & Shibaeva, T. G. Plants under continuous light: a review. Plant Stress 4, 5–17 (2010).

    Google Scholar 

  15. Demers, D. A. & Gosselin, A. Growing greenhouse tomato and sweet pepper under supplemental lighting: optimal photoperiod, negative effects of long photoperiod and their causes. Acta Hort. 580, 83–88 (2002).

    Article  Google Scholar 

  16. Demers, D.-A., Dorais, M., Wien, C. H. & Gosselin, A. Effects of supplemental light duration on greenhouse tomato (Lycopersicon esculentum Mill.) plants and fruit yields. Sci. Hortic. 74, 295–306 (1998).

    Article  Google Scholar 

  17. Globig, S., Rosen, I. & Janes, H. W. Continuous light effects on photosynthesis and carbon metabolism in tomato. Acta Hort. 418, 141–152 (1997).

    Article  Google Scholar 

  18. Highkin, H. R. & Hanson, J. B. Possible interaction between light-dark cycles and endogenous daily rhythms on the growth of tomato plants. Plant Physiol. 29, 301–302 (1954).

    CAS  Article  Google Scholar 

  19. Dodd, A. N. et al. Plant circadian clocks increase photosynthesis, growth, survival, and competitive advantage. Science 309, 630–633 (2005).

    CAS  ADS  Article  Google Scholar 

  20. Hillman, W. S. Injury of tomato plants by continuous light and unfavorable photoperiodic cycles. Am. J. Bot. 43, 89–96 (1956).

    Article  Google Scholar 

  21. Kristoffersen, T. Interactions of photoperiod and temperature in growth and development of young tomato plants (Lycopersicon esculentum Mill.). Physiol. Plant 16, 1–98 (1963).

    Article  Google Scholar 

  22. Heuvelink, E. Evaluation of a dynamic simulation model for tomato crop growth and development. Ann. Bot. 83, 413–422 (1999).

    Article  Google Scholar 

  23. Velez-Ramirez, A. I., Heuvelink, E., van Ieperen, W., Vreugdenhil, D. & Millenaar, F. F. Continuous light as a way to increase greenhouse tomato production: expected challenges. Acta Hort. 956, 51–58 (2012).

    Article  Google Scholar 

  24. Tomato Genome Consortium. The tomato genome sequence provides insights into fleshy fruit evolution. Nature 485, 635–641 (2012).

  25. 150 Tomato Genome Consortium. 150 Tomato Genome ReSequencing project.http://www.tomatogenome.net/ (2013).

  26. Baker, N. R. Chlorophyll fluorescence: a probe of photosynthesis in vivo. Annu. Rev. Plant Biol. 59, 89–113 (2008).

    CAS  Article  Google Scholar 

  27. Liu, Y., Schiff, M. & Dinesh-Kumar, S. P. Virus-induced gene silencing in tomato. Plant J. 31, 777–786 (2002).

    CAS  Article  Google Scholar 

  28. Liu, Y., Schiff, M., Marathe, R. & Dinesh-Kumar, S. P. Tobacco Rar1, EDS1 and NPR1/NIM1 like genes are required for N-mediated resistance to tobacco mosaic virus. Plant J. 30, 415–429 (2002).

    CAS  Article  Google Scholar 

  29. Tameling, W. I. L. & Baulcombe, D. C. Physical association of the NB-LRR resistance protein Rx with a Ran GTPase–activating protein is required for extreme resistance to potato virus X. Plant Cell 19, 1682–1694 (2007).

    CAS  Article  Google Scholar 

  30. Chang, W.-C., Lee, T.-Y., Huang, H.-D., Huang, H.-Y. & Pan, R.-L. PlantPAN: Plant promoter analysis navigator, for identifying combinatorial cis-regulatory elements with distance constraint in plant gene groups. BMC Genomics 9, 1–14 (2008).

    CAS  Article  Google Scholar 

  31. Terzaghi, W. B. & Cashmore, A. R. Light-regulated transcription. Annu. Rev. Plant Physiol. Plant Mol. Biol. 46, 445–474 (1995).

    CAS  Article  Google Scholar 

  32. Hudson, M. E. & Quail, P. H. Identification of promoter motifs involved in the network of phytochrome A-regulated gene expression by combined analysis of genomic sequence and microarray data. Plant Physiol. 133, 1605–1616 (2003).

    CAS  Article  Google Scholar 

  33. Thum, K. et al. Analysis of barley chloroplast psbD light-responsive promoter elements in transplastomic tobacco. Plant Mol. Biol. 47, 353–366 (2001).

    CAS  Article  Google Scholar 

  34. Lam, E. & Chua, N. H. ASF-2: a factor that binds to the cauliflower mosaic virus 35S promoter and a conserved GATA motif in Cab promoters. Plant Cell 1, 1147–1156 (1989).

    CAS  Article  Google Scholar 

  35. Harmer, S. L. et al. Orchestrated transcription of key pathways in Arabidopsis by the circadian clock. Science 290, 2110–2113 (2000).

    CAS  ADS  Article  Google Scholar 

  36. Kemp, G. A. The pedigree of varieties of Lycopersicum esculentum Mill. Can. J. Plant Sci. 41, 371–376 (1961).

    Article  Google Scholar 

  37. Harris, R. E. Three new sub-arctic type tomatoes: ‘Early Sub-Arctic,’ ‘Sub-Arctic Midi,’ and ‘Sub-Arctic Plenty’. Can. J. Plant Sci. 52, 119–120 (1972).

    Article  Google Scholar 

  38. Supek, F., Bošnjak, M., Škunca, N. & Šmuc, T. REVIGO summarizes and visualizes long lists of gene ontology terms. PLoS ONE 6, e21800 (2011).

    CAS  ADS  Article  Google Scholar 

  39. Farquhar, G. D., Caemmerer, S. & Berry, J. A. A biochemical model of photosynthetic CO2 assimilation in leaves of C3 species. Planta 149, 78–90 (1980).

    CAS  Article  Google Scholar 

  40. Daskaloff, C. & Ognjanova, A. Das verhalten von Lycopersycon esculentum Mill., L. racemigerum Lange und L. hirsutum Humb. et Bonpl. gegenüber dauerbelichtung. Z. Pflanzenzuchtg 54, 169–181 (1965).

    Google Scholar 

  41. Jansson, S. A guide to the Lhc genes and their relatives in Arabidopsis. Trends Plant Sci. 4, 236–240 (1999).

    CAS  Article  Google Scholar 

  42. Caffarri, S., Kouril, R., Kereiche, S., Boekema, E. J. & Croce, R. Functional architecture of higher plant photosystem II supercomplexes. EMBO J. 28, 3052–3063 (2009).

    CAS  Article  Google Scholar 

  43. Kouril, R., Dekker, J. P. & Boekema, E. J. Supramolecular organization of photosystem II in green plants. Biochim. Biophys. Acta 1817, 2–12 (2012).

    CAS  Article  Google Scholar 

  44. Damkjær, J. T. et al. The photosystem II light-harvesting protein Lhcb3 affects the macrostructure of photosystem II and the rate of state transitions in Arabidopsis. Plant Cell 21, 3245–3256 (2009).

    Article  Google Scholar 

  45. Kouřil, R., Wientjes, E., Bultema, J. B., Croce, R. & Boekema, E. J. High-light vs. low-light: effect of light acclimation on photosystem II composition and organization in Arabidopsis thaliana. Biochim. Biophys. Acta 1827, 411–419 (2013).

    Article  Google Scholar 

  46. Wientjes, E., van Amerongen, H. & Croce, R. Quantum yield of charge separation in photosystem II: functional effect of changes in the antenna size upon light acclimation. J. Phys. Chem. B. 117, 11200–11208 (2013).

    CAS  Article  Google Scholar 

  47. Kargul, J. & Barber, J. Photosynthetic acclimation: structural reorganisation of light harvesting antenna—role of redox-dependent phosphorylation of major and minor chlorophyll a/b binding proteins. FEBS J. 275, 1056–1068 (2008).

    CAS  Article  Google Scholar 

  48. Wientjes, E., van Amerongen, H. & Croce, R. LHCII is an antenna of both photosystems after long-term acclimation. Biochim. Biophys. Acta 1827, 420–426 (2013).

    CAS  Article  Google Scholar 

  49. Pursiheimo, S., Mulo, P., Rintamäki, E. & Aro, E.-M. Coregulation of light-harvesting complex II phosphorylation and lhcb mRNA accumulation in winter rye. Plant J. 26, 317–327 (2001).

    CAS  Article  Google Scholar 

  50. Maréchal, E. et al. Modulation of GT-1 DNA-binding activity by calcium-dependent phosphorylation. Plant Mol. Biol. 40, 373–386 (1999).

    Article  Google Scholar 

  51. Nagata, T. et al. Solution structures of the trihelix DNA-binding domains of the wild-type and a phosphomimetic mutant of Arabidopsis GT-1: mechanism for an increase in DNA-binding affinity through phosphorylation. Proteins 78, 3033–3047 (2010).

    CAS  Article  Google Scholar 

  52. Gilmartin, P. M., Sarokin, L., Memelink, J. & Chua, N. H. Molecular light switches for plant genes. Plant Cell 2, 369–378 (1990).

    CAS  Article  Google Scholar 

  53. Kuhlemeier, C., Fluhr, R., Green, P. J. & Chua, N. H. Sequences in the pea rbcS-3A gene have homology to constitutive mammalian enhancers but function as negative regulatory elements. Genes Dev. 1, 247–255 (1987).

    CAS  Article  Google Scholar 

  54. Kuhlemeier, C. et al. Localization and conditional redundancy of regulatory elements in rbcS-3A, a pea gene encoding the small subunit of ribulose-bisphosphate carboxylase. Proc. Natl Acad. Sci. 85, 4662–4666 (1988).

    CAS  ADS  Article  Google Scholar 

  55. Sarokin, L. P. & Chua, N. H. Binding sites for two novel phosphoproteins, 3AF5 and 3AF3, are required for rbcS-3A expression. Plant Cell 4, 473–483 (1992).

    CAS  Article  Google Scholar 

  56. Withrow, A. P. & Withrow, R. B. Photoperiodic chlorosis in tomato. Plant Physiol. 24, 657–663 (1949).

    CAS  Article  Google Scholar 

  57. Bermúdez, L. et al. Silencing of the tomato sugar partitioning affecting protein (SPA) modifies sink strength through a shift in leaf sugar metabolism. Plant J. 77, 676–687 (2014).

    Article  Google Scholar 

  58. Fulton, T. M. et al. Advanced backcross QTL analysis of a Lycopersicon esculentum × Lycopersicon parviflorum cross. Theor. Appl. Genet. 100, 1025–1042 (2000).

    CAS  Article  Google Scholar 

  59. Eshed, Y. & Zamir, D. A genomic library of Lycopersicon pennellii in L. esculentum: a tool for fine mapping of genes. Euphytica 79, 175–179 (1994).

    CAS  Article  Google Scholar 

  60. Sager, J. C., Smith, W. O., Edwards, J. L. & Cyr, K. L. Photosynthetic efficiency and phytochrome photoequilibria determination using spectral data. Trans. ASAE 31, 1882–1889 (1988).

    Article  Google Scholar 

  61. R Foundation for Statistical Computing. R: A Language and Environment for Statistical Computing (R Foundation for Statistical Computing (2013).

  62. Robinson, M. D., McCarthy, D. J. & Smyth, G. K. edgeR: a Bioconductor package for differential expression analysis of digital gene expression data. Bioinformatics 26, 139–140 (2010).

    CAS  Article  Google Scholar 

  63. Robinson, M. & Oshlack, A. A scaling normalization method for differential expression analysis of RNA-seq data. Genome Biol. 11, R25 (2010).

    Article  Google Scholar 

  64. Young, M., Wakefield, M., Smyth, G. & Oshlack, A. Gene ontology analysis for RNA-seq: accounting for selection bias. Genome Biol. 11, R14 (2010).

    Article  Google Scholar 

  65. Schuurmans, J. M. J. et al. Members of the aquaporin family in the developing pea seed coat include representatives of the PIP, TIP, and NIP subfamilies. Plant Mol. Biol. 53, 655–667 (2003).

    Article  Google Scholar 

  66. Liebrand, T. W. H. et al. ER-quality control chaperones facilitate the biogenesis of Cf receptor-like proteins involved in pathogen resistance of tomato. Plant Physiol. 159, 1819–1833 (2012).

    CAS  Article  Google Scholar 

  67. Schneider, C. A., Rasband, W. S. & Eliceiri, K. W. NIH Image to ImageJ: 25 years of image analysis. Nat. Methods 9, 671–675 (2012).

    CAS  Article  Google Scholar 

  68. Minister van Volkshuisvesting Ruimtelijke Ordening en Milieubeheer. Besluit van 21 Februari 2002, Houdende Regels voor Glastuinbouwbedrijven en voor Bepaalde Akkerbouwbedrijven (Besluit glastuinbouw) Vol. 109, 1–212 (Staatsblad van het Koninkrijk der Nederlanden, 2002).

  69. Yin, X. et al. Using combined measurements of gas exchange and chlorophyll fluorescence to estimate parameters of a biochemical C3 photosynthesis model: a critical appraisal and a new integrated approach applied to leaves in a wheat (Triticum aestivum) canopy. Plant Cell Environ. 32, 448–464 (2009).

    CAS  Article  Google Scholar 

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Acknowledgements

We are most thankful for the assistance of Alise Senberga and Harm Schreuders in the genetic and photosynthesis work. We also thank Elias Kaiser, Taede Stoker and Gerrit Stunnenberg for the technical support, as well as Jeremy Harbinson and Andreas Savvides for the fruitful discussions. The use of VIGS was suggested by Harro Bouwmeester; Daniela J. Sueldo, Desalegn W. Etalo and Thomas W.H. Liebrand provided advice and control pTRV constructs. The advice and knowledge from Peter Klapwijk and Piet Hein van Baar from GreenQ contributed to the success of the yield trial. Finally, we thank Stacey Harmer who critically commented an early version of the manuscript. This project was financially supported by the Technological Top Institute-Green Genetics (TTI-GG) (Project 2CFD020RP).

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Contributions

F.F.M. conceived the project; F.F.M., D.V., E.H. and W.v I. designed the general strategy. F.F.M., P.M.J.A.v.P. and A.I.V.-R. genotyped and phenotyped all tomato lines and performed the genetic mapping and fine mapping; P.M.J.A.v.P. and A.I.V.-R. aligned and analysed CAB-13 sequences. A.I.V.-R. and D.V. analysed the RNAseq data and performed the GO analysis; A.I.V.-R., F.F.M., W.v.I. and D.V. designed, performed and analysed the VIGS experiment. A.I.V.-R., F.F.M., E.H. and W.v.I. designed and supervised the yield trial. A.I.V.-R. and W.v.I. performed and analysed all photosynthesis measurements. A.I.V.-R. wrote the paper with input from all co-authors. F.F.M. acted as coordinator/project leader.

Corresponding authors

Correspondence to Aaron I. Velez-Ramirez or Wim van Ieperen.

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Competing interests

Monsanto Invest N.V. has filed a patent (WO 2011/028121 A1) related to the research presented in this manuscript. F.F.M and P.M.J.A.v.P. are named inventors in this patent application. The remaining authors declare no competing financial interests.

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Supplementary Information

Supplementary Figures 1-4, Supplementary Tables 1-8, Supplementary Methods and Supplementary References (PDF 1509 kb)

Supplementary Data

Gene expression analysis results for the contrasts CL A131 vs 16h A131 and CL A131 vs CL CLT. (XLSX 5540 kb)

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Velez-Ramirez, A., van Ieperen, W., Vreugdenhil, D. et al. A single locus confers tolerance to continuous light and allows substantial yield increase in tomato. Nat Commun 5, 4549 (2014). https://doi.org/10.1038/ncomms5549

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