Chloroplast development is an important determinant of plant productivity and is controlled by environmental factors including amounts of light and nitrogen as well as internal phytohormones including cytokinins and gibberellins (GA). The paralog GATA transcription factors GNC and CGA1/GNL up-regulated by light, nitrogen and cytokinin while also being repressed by GA signaling. Modifying the expression of these genes has previously been shown to influence chlorophyll content in Arabidopsis while also altering aspects of germination, elongation growth and flowering time. In this work, we also use transgenic lines to demonstrate that GNC and CGA1 exhibit a partially redundant control over chlorophyll biosynthesis. We provide novel evidence that GNC and CGA1 influence both chloroplast number and leaf starch in proportion to their transcript level. GNC and CGA1 were found to modify the expression of chloroplast localized GLUTAMATE SYNTHASE (GLU1/Fd-GOGAT), which is the primary factor controlling nitrogen assimilation in green tissue. Altering GNC and CGA1 expression was also found to modulate the expression of important chlorophyll biosynthesis genes (GUN4, HEMA1, PORB, and PORC). As previously demonstrated, the CGA1 transgenic plants demonstrated significantly altered timing to a number of developmental events including germination, leaf production, flowering time and senescence. In contrast, the GNC transgenic lines we analyzed maintain relatively normal growth phenotypes outside of differences in chloroplast development. Despite some evidence for partial divergence, results indicate that regulation of both GNC and CGA1 by light, nitrogen, cytokinin, and GA acts to modulate nitrogen assimilation, chloroplast development and starch production. Understanding the mechanisms controlling these processes is important for agricultural biotechnology.
Citation: Hudson D, Guevara D, Yaish MW, Hannam C, Long N, Clarke JD, et al. (2011) GNC and CGA1 Modulate Chlorophyll Biosynthesis and Glutamate Synthase (GLU1/Fd-GOGAT) Expression in Arabidopsis. PLoS ONE 6(11): e26765. https://doi.org/10.1371/journal.pone.0026765
Editor: Haibing Yang, Purdue University, United States of America
Received: January 13, 2011; Accepted: October 4, 2011; Published: November 10, 2011
Copyright: © 2011 Hudson et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Funding: This work was supported by two government funding agencies: the Natural Sciences and Engineering Research Council of Canada (NSERC, http://www.nserc-crsng.gc.ca/; Grant # 45663) and the Green Crop Network (GCN, http://www.greencropnetwork.com/; Grant # 47426). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Competing interests: The authors have declared that no competing interests exist. While one or more of the authors are employed by a commercial company (Syngenta Biotechnology Inc.), who they contributed transgenic materials for analysis, Syngenta holds no patents or proprietary interest over these materials. This does not alter the authors' adherence to all the PLoS ONE policies on sharing data and materials.
Improving agricultural productivity is essential for maintaining global development and necessary in order to permit future population growth . Historical increases in plant productivity achieved through irrigation, fertilizer application, hybrid selection or genetic modification can be largely attributed to a crops ability to maximize photosynthetic capture . Differences in chlorophyll content and/or chloroplast number are typically directly related to agricultural productivity, with greener plants having increased nitrogen use efficiency, biomass and yield , . Plastids, including chloroplasts, are determined early in the plant meristem and further differentiation occurs according to the type of cell in which they will ultimately reside . Still, the actual number of chloroplasts in a mature leaf cell as well as the abundance of pigments within each chloroplast depends on both the developmental stage of particular tissues and environmental stimuli , . Plants must use overlapping networks to coordinate chloroplast development with a plethora of environmental inputs in order to maintain balance between rates of photosynthesis and metabolism.
Light amount and quality are powerful regulators of chlorophyll biosynthesis and chloroplast development. Light also establishes circadian and diurnal cycles that provide a constant internal control over gene expression and when in tune with environmental signals, plants display maximum growth –. Nitrogen is required for building biological molecules and is therefore also intrinsically linked to both photosynthetic activity and the overall carbon status of the plant , . Nitrogen assimilation in the chloroplast is a prerequisite for chlorophyll biosynthesis, specifically by building up the glutamate pool , . The Glutamine Synthetase/Glutamate Synthase (GS/GOGAT) pathway is a key point in nitrogen assimilation where ammonium is incorporated into glutamate, providing the precursor for production of all amino acids, nucleic acids and chlorophylls , . The subsequent steps involved in chlorophyll biosynthesis are well documented and involve a number of key rate-limiting enzymes . HEMA1 encodes a Glu-tRNA reductase enzyme that controls flux through the tetrapyrrole biosynthetic pathway and leads to production of 5-aminolevulinic acid (ALA) from which the porphyrin ring system is derived , . GENOMES UNCOUPLED 4 (GUN4) subsequently binds protoporphyrin chlorophyll intermediates (Mg-Proto and Mg-ProtoMe), stimulates Mg chelatase activity, and has also been implicated in plastidic retrograde signaling to regulate nuclear gene expression –. Light-dependent reduction of protochlorophyllide to chlorophyllide is catalyzed by NADPH∶protochlorophyllide oxidoreductase (POR) in mature leaves, where the genes PORB and PORC form a redundant system regulating chlorophyll biosynthesis . Whilethese genes demonstrate circadian and diurnal patterns of expression , , the exact mechanism by which chlorophyll content is adjusted with varying amounts of light and nitrogen is not well documented.
Because nitrogen is a key component of the chlorophyll molecule, the concentration of nitrate available to a plant directly influences chlorophyll biosynthesis and chloroplast development , . Chlorophyll content is a key indicator of plant health and can be used to optimize nitrogen fertilizer application in order to potentiate larger crop yields with lower environmental load , . A subset of nitrate responses are mediated by the class of plant hormones know as cytokinins, whose synthesis and transport is linked to the nitrogen status of the plant –. Cytokinin signaling plays a central role in the regulation of cell division, differentiation and various developmental processes including chlorophyll biosynthesis and chloroplast development , . Cytokinins have also been shown to exert control over the process of N-remobilization and grain development –. Understanding the processes involved in fine tuning chloroplast development and grain production with fluctuating light and nitrogen levels is vital for making agricultural improvements in crop plants.
Cytokinins exhibit antagonistic effects to another class of plant hormones known as Gibberellins (GA). In Arabidopsis, cytokinin and GA signaling exert opposing influences over organ size, chlorophyll levels and floral development –. The GA-mutants largely responsible for the Green Revolution demonstrate that signaling reducing chloroplast development is just as important as factors promoting it . GA repression of chlorophyll biosynthesis occurs through the activity of DELLA proteins and phytochrome-interacting factors (PIF's). DELLA proteins mediate transduction of GA signals to light-responsive transcription factors, derepressing chlorophyll and carotenoid biosynthetic pathways though interactions with PIFs , . DELLA's were recently shown to play a crucial role in the formation of functional chloroplasts during deetiolation . PIFs are a class of the basic helix-loop-helix family of transcription factors that function in nuclear protein interaction cascades as negative regulators of phytochrome mediated light responses . In the absence of GA, nuclear-localized DELLA proteins accumulate to higher levels and prevent PIF's, from binding to their target promoters . The presence of GA triggers DELLA degradation, thus releasing PIF's to function and subsequently repressing genes involved in chlorophyll biosynthesis , , . This results in a complicated system of regulation for chlorophyll biosynthesis genes where the established circadian control of gene expression is subject to further influence from light, nitrogen, cytokinin and GA signaling pathways.
The paralog GATA transcription factors GNC (GATA, NITRATE-INDUCIBLE, CARBON-METABOLISM-INVOLVED) and CGA1/GNL (CYTOKININ-RESPONSIVE GATA 1/GNC-LIKE) are excellent candidates for integrating the signals involved in chloroplast development –. These paralogs display high levels of expression in light-grown plants, are strongly induced by light following periods of darkness in a phytochrome-dependent manner ,  and are regulated in a circadian fashion with peak transcript abundance at pre-dawn . Both GNC and CGA1 transcripts are induced by nitrogen sources , ,  as well as by cytokinins , , . Altering the expression levels of both GNC and CGA1 has previously been shown to influence chlorophyll content in Arabidopsis , , . Systems biology has been used to predict that GNC and CGA1 act in a biological network with important chloroplast localized genes . It was recently confirmed that altering the expression of GNC and CGA1 results in reduced expression of the POR genes involved in chlorophyll biosynthesis . GNC and CGA1 transcript levels were also shown to be suppressed by GA signaling through the activity of DELLA proteins and PIF3 . Furthermore, GNC and CGA1 expression is altered in GA signaling and pif mutants, which could partially explain the differences in chlorophyll observed in these lines , . In addition to changes in chlorophyll biosynthesis, transgenic alterations GNC and CGA1 expression were shown to influence germination, expansion growth and flowering time . This further suggests that GNC and CGA1 play an important role in maintaining the balance between GA and cytokinin signaling.
In this work, we provide evidence for regulation of the chloroplast localized GLUTAMATE SYNTHASE (GLU1/Fd-GOGAT) by both GNC and CGA1, as well as confirm their role in modulating the expression of genes involved in chlorophyll biosynthesis, including HEMA1, GUN4 PORB and PORC. We demonstrate that changing the expression of GNC or CGA1 leads to changes in chloroplast development, modulating not only chlorophyll content, but also chloroplast number and total leaf starch. Like Richter et al. , CGA1 expression was found to have a significant influence over the timing of important developmental events including germination, flowering time and senescence, which indicates an additional role in modulating crosstalk between cytokinin and gibberellin signaling. However, we did not observe significant differences in the timing of these developmental events with altered GNC expression. Despite this evidence of partial divergence, our results support the theory that both GNC and CGA1 integrate signals from light, nitrogen, cytokinin, and GA in order to modulate nitrogen assimilation and chloroplast development in a partially redundant fashion.
GNC Influences Chlorophyll Content, but does not Directly Control Sugar Signaling
GNC was originally predicted to have connections to sugar sensing and signaling . The expression of Hexokinase1 (HXK1) involved in glucose sensing, signaling and phosphorlyation is increased in gnc and cga1 mutants , . To investigate the relationship between GNC and sugar signaling further, we used the glucose insensitive 2 line (gin2-1), which is a null mutation for HXK1 , . The gin2 mutation causes insensitivity to growth inhibition on high sugar media, insensitivity to auxin and hypersensitivity to cytokinin , . The gin2 line has increased greening but decreased cell expansion and adult plants are less than half the size of Wt-Ler (Landsberg) controls , . Since the expression of GNC and CGA1 is altered in GA signaling mutants (ga1, gid1abc) that show changes in chlorophyll content , we questioned whether their transcripts were also expressed differently in other mutants altering chlorophyll content such as gin2. GNC transcript levels were found to be increased (∼3 fold) in the gin2 mutant and CGA1 expression was also slightly enhanced, though to a lesser extent (Figure 1A). Increased GNC and CGA1 expression may at least in part account for the increased chlorophyll of the gin2 line.
A) Expression levels of CGA1 and GNC in the HEXOKINASE1 mutant (gin2) using qRT-PCR from 3 week old rosette leaf tissue. B) Cotyledon expansion (where cotyledons open but appear pale and etiolated) and cotyledon greening (where expanded cotyledons also produce chlorophyll) of transgenic lines compered to wild-type on high glucose (6%) MS media. C) Images of 3 week old Wt-Ler, gnc-Ler, gin2 and gin2/gnc plants. D) Chlorophyll content measured with the standard acetone extraction and with the Minolta SPAD 502DL meter. Due to the decreased leaf and cell size of the gin2 mutant, using the acetone based extraction technique that controls for biomass requires a larger number of leaves/cells to be harvested for comparative analysis. Results taken with the SPAD meter are nondestructive and use light transmitted through a single leaf. Both techniques demonstrate that the gin2/gnc double mutant lacks chlorophyll accumulation, though the SPAD readings show less variation and are not as influenced by overall differences in plant size (All data MEAN±SD, * indicates p≤.05, t-test).
To investigate this further, we created a gnc/gin2 double mutant. The SALK_01778-gnc mutant (Columbia background) was back-crossed into the Wt-Ler ecotype for five generations in order to produce a gnc-Ler mutant. As in Columbia, the only obvious phenotype in the gnc-Ler mutant was reduced chlorophyll content (Figure 1C and D). Reciprocal crosses between gin2 and gnc-Ler produced gin2/gnc double mutants. Progeny of stable homozygous gin2/gnc plants were plated on 6% glucose (Figure 1B). The gnc/gin2 double mutants exhibited similar insensitive growth characteristics to gin2 single mutants on high glucose media (Figure 1B). In contrast, wild type and gnc mutant plants exhibited similar sugar sensitive responses and demonstrated inhibition of both cotyledon expansion and greening (Figure 1B). Chlorophyll was extracted from 3 week old plants by using the standard acetone based extraction technique that controls for biomass as well as measured nondestructively with the Minolta SPAD-501 meter (Figure 1D). Plants homozygous for the gnc mutation exhibit decreased chlorophyll content, removing the dark green phenotype present in the gin2 line (Figure 1C and D). The sugar insensitivity and lack of chlorophyll in the gin2/gnc double mutants indicates that GNC is epistatic to HXK1 with respect to chlorophyll biosynthesis, but does not appear to directly regulate HXK1-dependent sugar signaling.
GNC and CGA1 Regulate Chlorophyll Production in the ahk2/3 Cytokinin Receptor Mutant
The spatial expression profiles of GNC and CGA1 –,  demonstrate similar patterns as the cytokinin receptors AHK2 and AHK3 , . They are also both up-regulated by cytokinin application, though CGA1 transcript levels increase more rapidly and fluctuate to a greater extent , . The ahk2/3 double mutant has significantly reduced chlorophyll content  and was analyzed for expression of GNC and CGA1. CGA1 expression was found to be decreased, in the ahk2/3 mutant (Figure 2A and B). In contrast, we found that GNC expression was up-regulated in the ahk2/3 double mutant (Figure 2A and B). To investigate this further, crosses were made between the gnc mutant and the ahk2/3 cytokinin receptor double mutant to create a ahk2/3/gnc triple mutant line. The resulting ahk2/3/gnc triple mutant had significantly reduced chlorophyll content when compared to all other lines (Figure 2C). Combining the reduced expression of CGA1 found in the ahk2/3 mutant with a mutation of gnc caused further reductions in chlorophyll. Beyond the drastically reduced chlorophyll in the ahk2/3/gnc plants, we did not observe significant phenotypic differences compared to ahk2/3 mutants. These results imply that GNC acts specifically to control chlorophyll biosynthesis and functions in a partially redundant fashion as CGA1.
Both semi-quantitive PCR (A) and Real-time qRT-PCR (B) demonstrate that CGA1 is down regulated in the leaves of the ahk2/3 cytokinin receptor mutant while GNC expression is slightly increased. C) Chlorophyll content of 1778-gnc, ahk2/3 and gnc/ahk2/3 mutant lines compared to wild type (Wt-Col) plants at 3 weeks post germination (MEAN±SD, p≤.05, t-test). Image demonstrates that the triple mutant is of a similar size to ahk2/3 double mutant, but also has drastically reduced chlorophyll content.
CGA1 Expression Influences Developmental Timing in Arabidopsis in a Manner Consistent with Altered Cross-talk between Cytokinin and Gibberellins Signaling
In this study, we used the following genetic lines with altered levels of GNC and CGA1 expression. The two 35S∶GNC overexpression lines (GNCox1 and GNCox16) with near 4-fold increases in GNC transcript levels and the SALK01778-gnc mutant were established in our previous work . Our attempts to identify a true mutation for CGA1 from publicly available T-DNA insertion lines (eg. SALK_03995 and SALK_0213625) proved unsuccessful . As such, RNAi driven by an endogenous ubiquitin (UBQ) promoter was used to significantly reduce the expression of CGA1 to 10–20% of wild type in both lines analyzed (RNAi-cga1-6 and RNAicga1-12) (Figure 3A). For overexpression, two constitutive UBQ∶CGA1 lines (CGAox1 and CGA1ox4) were also created, which like the GNCox lines tested , had an approximate 4-fold increase in transcript level compared to wild type controls (Figure 3A). For all the lines analyzed, transcript expression levels were stable in subsequent generations (Figure 3B).
A) Relative expression level of CGA1 in the transgenic lines created for this study. qRT-PCR on extracts from rosette leaves of positively transformed 3 week old plants. B) Semi-quantitative RT-PCR on progeny of trangeneic plants (9 pooled plants) showing stable and transmissible expression levels in subsequent generation. C) Germination of transgenic GNC and CGA1 lines on MS media. D) Germination of transgenic GNC and CGA1 lines on MS media containing gibberellin (3 µM GA3). E) Seed produced from CGA1 overexpression lines. Yellow arrows point to seeds with deformed seed coats (right). Magnified image (left) showing one normally developed seed (top) and two smaller seeds with deformed seed coats. F) Seedlings from CGA1 transgenic lines grown for one week on vertical MS media. G) Cotyledon surface area from one week old plants grown on soil. G) First leaf surface area from two week old plants. (All data MEAN±SD, p≤.05, t-test).
Similar to the results recently reported by Richter et al. , we found that expression of CGA1 significantly influences a number of developmental events in Arabidopsis. CGA1 transgenic plants exhibit phenotypes similar to those seen with altered GA signaling , , , . GA is known to influence germination, chlorophyll content, stem elongation, flowering time and senescence , . Altering CGA1 expression also results in differences in germination with nearly 100% of RNAi-cga1 seed germinating, while CGA1 overexpression reduced or delayed germination (Figure 3C and F). RNAi-cga1 plants produced seed that looked normal compared to wild-type plants; however, typically between 18–22% (20.6%±2.1, MEAN±SD) of the seed from CGA1 overexpression lines did not set properly, resulting in seeds with deformed seed coats that were smaller in size (Figure 3E). GA has been shown to significantly influence seed dormancy and germination as well as contribute to formation of the seed coat through starch degradation , , . The addition of GA3 to MS media removed the low germination of the CGA1 overexpression lines and allowed the deformed seeds to germinate (Figure 3D). Like Richter et al. , we also found that following germination, expansion and overall size of seedlings was also significantly different in CGA1 transgenics. RNAi-cga1 plants are visibly larger after one week, whereas overexpression lines are smaller than wild type plants (Figure 3F). Both cotyledon and first leaf size were found to be inversely proportional to the level of CGA1 transcript (Figure 3G and H).
Reciprocal crosses were made between the RNAi-cga1 lines and the gnc mutant to create pseudo-double mutants used in subsequent analysis. Though the RNAi-cga1 × gnc mutant plants demonstrated further reductions in chlorophyll compared to single mutants (Figures 4 and 5), they developed at a similar rate as the RNAi-cga1 plants (Figure 4). At 18 days post-germination, both the wild type and GNC lines had extended their 9th leaf beyond 1 mm; in contrast, the RNAi-cga1 and double mutant plants had already produced their 10th leaf, while CGA1ox plants had only produced 8 leaves (Figure 4A). Both RNAi-cga1 and the RNAi-cga1x gnc mutant plants exhibited early flowering with the inflorescence bolting approximately 3 days prior to wild type plants under long days (LD), while CGA1 overexpression delayed flowering time by a similar interval (Figure 4B). Flowering was altered similarly under both long and short day (SD) conditions in the CGA1 transgenics without drastically influencing rosette leaf number at flowering time (Figure 4B and D). Plants with reduced CGA1 expression germinate earlier, produced leaves faster, flowered earlier and senescence more rapidly under both LD and SD conditions, while CGA1 overexpression delays germination, growth, flowering and senescence irrespective of day length (Figure 4D and E). These results indicate that CGA1's influence is not specific to any one developmental event, but rather alters the rate of progression through the entire life cycle. As observed by Richter et al. , GNC overexpression lines demonstrated some evidence of reduced germination and expansion during early development. However, we found that neither mutation nor overexpression of GNC resulted in significant phenotypic differences from wild type plants with respect to overall growth rate, flowering time or senescence (Figure 4).
A) Images of pre-flowering plants with arrows showing the newest leaf extended beyond 1 mm indicate the rate of leaf production is altered in CGA1 transgenic lines. B) Flowering time and rosette leaf number at flowering of transgenic plants compared to wild-type grown under long day (LD) conditions (MEAN±SD, p≤.05, t-test). C) Altered rates of leaf senescence in mature CGA1 transgenics indicate differences in growth rate through the entire life cycle (LD). D) Flowering time and leaf number at the time of flowering for transgenic plants grown under short day (SD) conditions (MEAN±SD, p≤.05, t-test). E) Difference in size of pre-flowering CGA1 plants compared to Wt- Col grown in SD. F) Reduced expression of GNC or CGA1 results in spindly stems defective in standing upright when grown at sufficient nitrogen levels (10 mM NO3−, LD). G) Transgenics GATA lines grown at limiting nitrogen conditions (3 mM NO3−, LD) show even greater differences in stem integrity.
Relative chlorophyll content of GNC and CGA1 transgenics compared to wild type controls. Plants grown with high light and full nutrients (300 µmol/m2-s light and excess nutrient fertilizer), sufficient nitrogen (150 µmol/m2-s light and 10 mM NO3−) and limiting nitrogen (150 µmol/m2-s light and 3 mM NO3−) all demonstrate differences in chlorophyll SPAD (MEAN±SD, p≤.05, t-test).
In previous studies, we established nutrient conditions where 3 mM nitrate was found to be a limiting nitrogen condition, under which effects of nitrogen stress can be observed, while 10 mM nitrate is sufficient to maintain normal growth and development in Arabidopsis , . Under both sufficient and limiting nitrogen conditions, RNAi-cga1 plants produced ‘spindly’ stems (Figure 4F and G). Though not as severe, this phenotype was also observed in the gnc mutant and the RNAi-cga1 × gnc plants were especially deficient in producing strong inflorescences (Figure 4F and G). Mutation of the N-acetlyglucosamine transferase gene named SPINDLY (SPY) results in a similar phenotype due to improper regulation of the cross-talk between cytokinin and GA signaling , . Under limiting nitrogen conditions, this spindly phenotype was further exacerbated and the RNAi-cga1x gnc mutants produced very thin stems with few flowers and seeds (Figure 4G). In contrast, both GNC and CGA1 overexpression lines produced strong inflorescences that maintained their erect stature even under limiting nitrogen conditions (Figure 4G). Phenotypic results suggest that GNC and CGA1 have both partially redundant and partially divergent roles in regulating the balance between GA and cytokinin signaling pathways.
GNC and CGA1 Expression Influences Chlorophyll Content, Chloroplast Number and Leaf Starch
Both mutant and overexpression lines of GNC and CGA1 result in modifications to chlorophyll biosynthesis , , . Growing the transgenic lines under various light and nitrogen treatments resulted in further differences in chlorophyll content (Figure 5). Under all the conditions we analyzed, gnc mutants, RNAi-cga1 and the RNAi-cga1 × gnc plants show significant reductions in chlorophyll content compared to wild type plants (Figure 5). Similar to the reported cga1 mutants , , RNAi-cga1 plants were not as pale as the gnc mutant. However, further reductions in the RNAi-cga1 × gnc plants imply partially redundant control over chlorophyll biosynthesis by these paralogs. Double mutants retain only 50–60% of wild type chlorophyll content depending on the levels of light and nitrogen supplied (Figure 5). While both wild type and transgenic lines show lower overall chlorophyll content with reduced nitrogen, GNC and CGA1 overexpression lines maintain higher chlorophyll relative to wild type controls when nitrogen is limiting (Figure 5).
Cytokinin application has been shown to increase chloroplast numbers . We questioned whether the differences in chlorophyll were specifically due to differences in chlorophyll biosynthesis in the GNC and CGA1 transgenics or the result of altered chloroplast number. Chloroplasts were extracted from individual plants grown with sufficient nitrogen and quantified using a standard 0.1 mm hemocytometer. Differences in chloroplast number were comparable to chlorophyll measurements taken prior to extraction with overexpression lines showing 10–20% increases and all mutant lines showing reduced chloroplast number (Figure 6A). The double mutant retained less than 50% of the chloroplasts found in wild type plants (Figure 6A). These results were confirmed in planta using confocal microscopy and standard wax sectioning techniques. Counting chloroplasts from the outer sub-epidermal cells in consecutive stem sections demonstrated that the chloroplast number was significantly different (Figure 6B). Confocal microscopy on freshly harvested leaf tissue over a 30 µm depth revealed differences in chlorophyll auto-fluorescence as well as chloroplast number in mesophyll cells (Figure 6C). Chloroplasts are considered to be the primary site of starch biosynthesis ; thus, it is not surprising that leaf starch content was also found to be altered in cohort with chloroplast number (Figure 6D). Chlorophyll measurements were taken from extracted chloroplasts both before and after a dilution factor had been applied in order to correct for chloroplast number (Figure 6 E and F). Though there appear to be minor differences in chlorophyll content per chloroplast following dilution, these differences were not found to be significant. While these results indicate that there is increased overall chlorophyll biosynthesis, they also demonstrate that the difference in chlorophyll content in the GATA transgenic plants is primarily due to differences in chloroplast number (Figure 6E and F). Hence, expression of GNC and CGA1 appear to modulate aspects of chloroplast development based on inputs from light and nitrogen, leading to differences in chlorophyll biosynthesis, chloroplast number and starch production.
A) Quantification of chloroplast numbers using hemocytometer following extraction from 100mg of rosette leaf tissue. B) Number of chloroplasts in chloroplast containing cells of the inflorescence from mature plants. Values are an average of counts from consecutive wax embedded sections taken from multiple plants from each line (n>3). C) Confocal microscopy of leaf tissue measuring auto-fluorescence of chlorophyll molecule. Images show obvious differences in chloroplast number between with changes in GNC and CGA1 expression. D) Starch measured from leaf material of 3 week old plants. Transgenic lines were compared to wild-type using the Megazyme Total Starch Assay kit. E) Chlorophyll quantified from chloroplasts extracted from 100mg leaf tissue using acetone based extraction. F) Chlorophyll quantified using acetone based technique following the application of a dilution factor to the extracted chloroplasts based on chloroplast counts. (All data are MEAN+SD, p<.05, t-test).
GNC and CGA1 Modulate Expression of Chloroplast Localized Glutamate Synthase (GLU1/Fd-GOGAT) and Chlorophyll Biosynthesis Genes
Following the uptake of inorganic nitrate from the soil, NO3− is reduced to nitrite NO2− by NITRATE REDUCTASE (NR) in the cytosol  Nitrite subsequently enter the chloroplast where NITRITE REDUCTASE (NiR) converts nitrite to ammonium (NH4+) . Through the GS/GOGAT cycle, ammonium is then incorporated into glutamate, which feeds directly into both amino acid synthesis and the C5 chlorophyll biosynthesis pathway . Because nitrogen is a strong modulator of both GNC and CGA1 expression  as well as chloroplast development, we analyzed the expression of some key nitrogen assimilation genes. Genes involved in preliminary nitrogen reduction in the cytosol (NR, NiR) and nitrogen transport (NRT1, NRT2) were not found to be altered in the GNC and CGA1 transgenic lines. In plants grown at sufficient nitrogen conditions, chloroplast localized ferredoxin-dependent GLUTAMATE SYNTHASE (GLU1/Fd-GOGAT) expression was significantly increased by GNC and CGA1 overexpression and decreased in the gnc, RNAi-cga1 and double mutant lines (Figure 7). Mutation of GLU1 drastically influences chloroplast development, leading to chlorotic or lethal plants under photorespiratory conditions , , . While chloroplast localized GLUTAMINE SYNTHETASE (GS2) and ASPARAGINE SYNTHASE (ASN2) also show differences in expression, these were minor in comparison to GLU1 (Figure 7). Expression of these genes has been shown to be altered with changes in GLU1 . Changes in gene expression from plants grown with high light and excess nitrogen (Figure S1) were found to be less significant in comparison to from the differences observed from plants grown with only sufficient nitrogen levels.
Relative expression of GNC and CGA1 transgenic lines compared to Wt-Col under sufficient nitrogen conditions. Key genes involved in nitrogen assimilation, chlorophyll biosynthesis and chloroplast division were analyzed (At least 3 biological replicates). Genes involved in chloroplast-localized nitrogen assimilation and chlorophyll biosynthesis demonstrate correlation of expression with that of GNC and CGA1.
Richter et al. , recently reported differences in POR gene expression in transgenic lines with altered GNC and CGA1. We analyzed the expression of these genes as well as expression of the key rate-limiting enzymes HEMA1 and GUN4, which are found upstream in the chlorophyll biosynthetic pathway. These important chlorophyll biosynthesis genes were also found to be modified in correlation with expression levels of GNC and/or CGA1 (Figure 8). GUN4 and HEMA1 display overlapping spatial and temporal expression with GNC and CGA1 and also exhibit nearly identical circadian oscillations, resulting in a strong level of co-expression , . These results validate the systems biology approach that predicted GNC and CGA1 act as part of a network with key chlorophyll biosynthetic genes, specifically GUN4 . As seen with GLU1, GNC and CGA1, altering the expression of GUN4 also results in altered chlorophyll biosynthesis . GUN4 has been shown to sustain chlorophyll levels under fluctuating environmental conditions and has been suggested to be involved in retrograde signaling to the nucleus, regulating PORB, PORC and chlorophyll-binding light harvesting complex (LHC) genes . Because GNC and CGA1 modulate the expression of GLU1 and GUN4, it is likely that changes in gene expression found with changes in their expression will also be altered in GNC and CGA1 transgenics. As such, carbon metabolism-related genes found to be significantly different GNC and CGA1 transgenics ,  may be indirectly modified as a consequence of altered chlorophyll biosynthesis.
A) PCR of promoter regions containing GATA sites from suspected candidate genes following precipation with c-myc antibody using extracts from wild type plants and transgenics lines expressing myc-tagged GNC or CGA1. B) Region of the GLU promoter containing mutiple GATA sites suspected to be binding sites for GNC and CGA1 proteins.
Changes in chloroplast numbers indicated that genes involved in chloroplast division might also be altered in the GATA lines. However, we did not find significant changes in the expression of the chloroplast division genes analyzed which includes PDV genes (PLASTID DIVISION) and ARC genes (ACCUMULATION AND REPLICATION OF CHLOROPLASTS) (Figure 7). There are potentially small changes in the transcript levels of PDV2; however, these are not statistically significant. Altering expression of PDV and ARC genes has a drastic effect on chloroplast development resulting in a significant trade-off between total chloroplast number and chloroplast size and/or function –. As such, even slight manipulation of their expression may account for the moderate differences in chloroplast number (10–20% increase) observed in with increased expression of GNC and CGA1. However, these plastid division genes analyzed are of cyanobacterial ancestry  and do not show circadian oscillations or strong co-expression with GNC and CGA1 , . Thus, it is not surprising that their expression is not significantly modulated in the GNC and CGA1 transgenic lines. While these genes represent some of the basic division machinery in Arabidopsis, there are a number of other genes that have been shown to alter chloroplast number which may also display differential activity with changes in GNC and CGA1 expression , . Furthermore, altering gene expression may not be a prerequisite for the plastid division process, which may be controlled at the level of protein activity. Using the Arabidopsis Co-expression Tool (ACT), analysis of either GNC with GLU1 or CGA1 with GLU1 indicates that a number of genes potentially involved in the chloroplast division and starch synthesis are similarly expressed . These include FtsH proteases (At1g50250, At5g58870, At5g42270) known to be involved in plastid division , . Further analysis will aim to identify exactly how GNC and CGA1 influence of the gene expression or activity of genes involved in chloroplast division processes.
Chromatin Immunoprecipitation confirms GLU1/Fd-GOGAT as a Potential Target of GNC and CGA1
Being GATA transcription factors, GNC and CGA1 are presumed to control the transcription of genes by binding directly to GATA sites within their promoter. GATA sites are prominent in the promoter regions of many of the genes that were predicted to be regulated by GNC and CGA1. Chromatin immunoprecipitation (ChIP) experiments were performed using extracts from transgenic lines expressing myc-tagged GNC or CGA1 protein. A region of the promoter from GLU1/Fd-GOGAT was found to positively interact with both myc-GNC and myc-CGA1 protein following immunoprecipitation (Figure 8). This region of the GLU1 promoter contains multiple GATA sites that are likely important for interaction with GNC and CGA1 (Figure 8). Promoter regions from the other nitrogen assimilation, chlorophyll biosynthesis and chloroplast division genes did not appear to show positive interaction with the myc-tagged GNC and CGA1 protein. Though this does not rule other genes out as candidates for being directly regulated by GNC and CGA1, it does indicate that these transcription factors positively control nitrogen assimilation in the chloroplast through regulation of GLU1.
Control of chlorophyll biosynthesis and chloroplast development is vital for plants to optimize photosynthetic capture while maintaining the carbon∶nitrogen balance. By increasing the expression of GLU1/Fd-GOGAT as well as key chlorophyll biosynthesis genes, GNC and CGA1 act to increase the flux of assimilated nitrogen towards chlorophyll production. GLU1 accounts for more than 96% of the total GOGAT activity in photosynthetic green leaves and has been verified as the primary nitrogen assimilation enzyme . Altering GLU1 expression has also been shown to result in changes to amino acid production and lead to a cascade of changes gene expression that subsequently influence many aspects of plant development , . GLU1 plays a significant role in photorespiration, re-assimilating ammonium produced through this process . Growth in non-photorespiratory conditions (high CO2) recovers the reduced chlorophyll of glu1 mutants . The amount of ammonium released by photorespiration is up to 10 times the amount of nitrogen taken up by the plant . Therefore, the photorespiration nitrogen cycle and specifically regulation of GLU1 is important for maintaining nitrogen assimilation and carbon balance .
Multiple studies have implicated GATA motifs in regulating important nitrogen genes as well as light signaling elements. The importance of GATA sites in controlling the initial stages in nitrogen uptake and nitrogen catabolism in fungi is well documented –. In addition, GATA motifs were previously suggested to regulate GLU1 expression , , . While GNC and CGA1 do not appear to regulate nitrogen-related processes upstream of the chloroplast (uptake and reduction), modulation of GLU1 provides a way to increase re-assimilation of photorespiratory products specifically within the chloroplast. Both the ammonia coming from primary nitrogen assimilation and the ammonia released by photorespiration appear to converge into the same pathway . As such, increasing the amount of supplied nitrogen will ultimately decrease the demand for re-assimilating photorespiratory products, thus potentially masking the effects of altered GNC and CGA1 expression (Figure 5). Regardless of the source of nitrogen entering the GS/GOGAT cycle, GNC and CGA1 appear to increase the flux of assimilated nitrogen towards chlorophyll biosynthesis.
Cytokinin application has been shown to increase chlorophyll levels, chloroplast numbers, protein, sugar and starch concentrations while also inhibiting nitrogen remobilization , . Increased chlorophyll concentration and chloroplast number may permit increased photosynthetic capture when conditions are optimal. Sugar levels, light and nitrogen are known to increase GLU1 expression, reflecting the intricate balance between carbon and nitrogen metabolism , . Increased carbon fixation will ultimately result in more carbon skeletons (sugars) to be used for energy production, stored as starch, or diverted through the TCA cycle for incorporation into glutamate . Differences in photorespiration rates for plants treated with nitrate or ammonium are directly related to the production of 2-oxoglutarate (2-OG) and photorespiratory refixation , . Though GNC and CGA1 do not appear to directly regulate sugar sensing and signaling (Figure 1), genes involved in photosynthesis and carbon-metabolism may be altered indirectly as a result of increased chlorophyll concentration and chloroplast number.
The circadian clock at least in part regulates the expression of GNC and CGA1 and the circadian control genes CIRCADIAN CLOCK-ASSOCIATED 1 (CCA1) and LATE ELONGATED HYPOCOTYL (LHY) show strong co-expression with GNC and CGA1 , , . The expression of GLU1, GUN4 and HEMA1 are also under similar circadian control , , and each of these are expressed at a significant level to support chlorophyll biosynthesis in the absence of GNC and CGA1 , . Thus, the presence of the GATA motif in the GLU1 promoter is not required for expression. Instead, regulating the expression of GNC and CGA1 appears to allow for modulation of chlorophyll biosynthesis. Though light is intrinsically linked to the circadian clock and establishes the initial circadian cycle in plants, evidence indicates nitrate, cytokinin, and GA signaling all receive input from the circadian clock as well –. The absence of an effect of GA on NR and NiR activities as well as nitrogen content indicates that like GNC and CGA1, GA does not play a role in controlling the preliminary stages of nitrate assimilation . However, the finding that PIF3 binds upstream of the coding regions of GNC and CGA1 and reduces their expression provides a direct link between GA signaling and that of light, nitrogen, cytokinin and the circadian clock .
PIF's demonstrate opposite expression to GNC and CGA1, and instead show co-expression with the key circadian oscillator TOC1 (TIMING OF CAB EXPRESSION 1) that functions to positively control the level of LHY/CCA1 , . PIF's integrate the circadian clock, but do not play a significant role in controlling light input or function of the circadian clock , . Instead, they negatively regulate chloroplast development specifically through repression of chloroplast biosynthesis and carotenoid genes including GUN4, HEMA1 and POR's , –. Previously, PIF control over chloroplast development has primarily focused on the regulation of genes involved in GA signaling and/or directly on chlorophyll biosynthesis genes , –, , . Repression of GNC and CGA1 provides evidence that PIF's also act at the level of chloroplast nitrogen assimilation. Differences in the expression of genes involved in nitrogen assimilation, including GOGAT, GS, and ASN2, have previously been reported in PIF transgenic lines , , . Events downstream of nitrogen assimilation, chlorophyll biosynthesis and chloroplast development likely result in further differences in gene expression, such as the reported feedback regulation on GA-related genes . Carbon availability has recently been linked to PIF signaling, potentially leading to further feedback loops regulating gene expression . The carbon status and starch accumulation in particular may also exert influence over the chloroplast division process, leading to altered chloroplast numbers with changes to GNC and CGA1. While these relationships are not fully understood, current evidence suggests that light, nitrogen, and cytokinin signaling function to increase clock-regulated chloroplast biosynthesis by increasing the expression of GNC and CGA1, whereas PIF repression of their expression leads to the opposite effect.
Gene duplication can lead to divergence into distinct biological roles or may simply reflect a degree of functional redundancy . From sequence alone, partial divergence of these paralogs seems likely as CGA1 is a shorter gene with significant variation outside of the GATA zinc finger region . Though GNC and CGA1 have partially redundant roles in controlling chloroplast development, our results indicate they have partially divergent functions, with CGA1 exhibiting a more direct influence over cytokinin and GA-related developmental processes. As predicted by co-expression analysis , , we found that GNC had a more significant effect on chloroplast development, while CGA1 plays a more prominent role in maintaining the balance between cytokinin and gibberellins signaling Unlike Richter et al. , we did not observe significant differences in germination or the timing of developmental events in GNC transgenic lines. Previous studies have also failed to report a significant difference in the flowering time of the gnc mutant , , . If GNC exerts control over this process, we would expect to see reciprocal differences between the mutant and over-expression lines as seen for CGA1. We speculate that this discrepancy in flowering time reported for GNC over-expression lines may be due to minor variations in growth conditions, such as light and nitrogen levels. It is also possible that different levels of overexpression may result in variations in phenotype, with higher than our observed 4-fold increase causing a more significant effect. Just as increased concentrations of cytokinin result in a more significant influence on plant growth, differences in the level of expression of either GNC or CGA1 may exacerbate phenotypes related to cytokinin and GA signaling. Still, results suggest that GNC and CGA1 have at least partially redundant roles and act at an important hub where light, nitrogen, cytokinin and GA signaling all converge.
Modification of both gibberellin ,  and cytokinin ,  signaling pathways has been used to increase agricultural productivity. Cross-talk between GA and cytokinin may involve differential regulation of transcription factors by these hormone signaling pathways. The control of GNC and CGA1 expression appears to represent a pivotal point in the cross-talk between cytokinin and GA for regulating chloroplast development, possibly by influencing the amount of nitrogen being assimilated. Understanding how plants regulate chloroplast development has important implications for agricultural biotechnology. Crop plants require copious amounts of applied nitrogen fertilizer and crop yield is typically proportional to the amount of nitrogen available in the soil , . Field conditions are not always optimal and crops typically experience periods of decreased light, water and nutrients. Uneven application of fertilizer and leeching of nitrogen from the soil also contributes to reduced yields . Being able to maintain chlorophyll levels even when light and nitrogen are not abundant could be beneficial to crop plants. The conservation of the GATA family between Arabidopsis and rice  indicates that orthologs for GNC and CGA1 genes perform similar roles in crop plants. Modulation of their expression could potentially allow for increased productivity under reduced nitrogen fertilizer conditions. Application of nitrogen fertilizer is costly both environmentally and economically; therefore any improvement that leads to increased nitrogen use efficiency could have a significant impact.
Arabidopsis was typically grown in standard long-day (LD) conditions with 16 h of white light (150 µmol/m2-s) at 23°C and 8 h of darkness at 21°C. Short day (SD) conditions had reversed 8∶16 light cycle. We used nutrient-free soil Sunshine Mix #2 Basic (SunGro Horticulture Canada Ltd), adding nutrient solution with different amounts of nitrate as previously described ,  with 10 mM nitrate solution as ‘sufficient’ for Arabidopsis growth, whereas 3 mM nitrate is a ‘limiting’ nitrogen condition, under which effects of nitrogen stress can be observed . ‘Full nutrient’ conditions consisted of a high nitrogen treatment with fertilized water (18-9-18) containing nitrogen @ 200 ppm and chelated micronutrients (PlantsProducts, #11072) and double the light intensity (300 µmol/m2-s).
For expression studies, plants were grown according to Harmer et al. , using a 12∶12 day night cycle. For germination, standard 1× MS salts were used and media supplemented with 1% Sucrose (Standard), 6% glucose (High Sugar) or 3 uM GA3 (Gibberellin).
Transgenic Arabidopsis lines
Promoters from GNC and CGA1 (∼1500 bp) were cloned into the pCambia3301 vector. The resultant pGNC∶GUS and pCGA1∶GUS constructs were amplified in E. coli DH10b cells and transformed into Agrobacterium strain EHA105. Wild type (Wt-Col) plants were transformed with either pGNC∶GUS-3301 or pCGA1∶GUS-3301 via the standard floral dip method  and screened with the herbicide BASTA (Hoechst). Tissue from homozygous lines was stained for GUS activity according to standard protocols.
35S∶GNC overexpression lines and the SALK01778-gnc mutant used in comparative analysis came from our previous work . The HXK1 mutant was the gin2-1 line ,  and the cytokinin receptor mutant used was the ahk2-5/ahk3-7 line.
To suppress expression of CGA1, dsRNAi constructs were created the standard Gateway protocol (Invitrogen; Gateway Technology Manual, 2003). The dsRNAi insert contains a unique inverted repeat cDNA of CGA1 (sequence positions 52–509 on CDS) separated by a backbone sequence. Each insert was placed behind a synthetic promoter derived from a maize UBQ promoter sequence and built into a SpecR binary construct containing the PMI (Phosphomannose Isomerase) selectable marker under the control of an Actin promoter. The resulting vector was transferred to Agrobacterium tumefaciens strain LBA4404, transformed using floral dip and transformants screened with BASTA (Hoechst). A modified pEGAD vector was used to overexpress CGA1. The 35S∶CaMV promoter was replaced with the AtUBQ3 promoter. CGA1 was amplified from wild type cDNA by RT-PCR and cloned into the modified pEGAD vector. This was amplified in E. coli DH10b cells, purified, transferred into Agrobacterium cell EHA105 and transformed using floral dip  and transformants selected with BASTA (Hoechst).
To generate c-myc tagged proteins, the cDNA sequences of GNC and CGA1 were amplified from wild type cDNA and cloned into pGBKT7 vector (Clontech) next to the MYC sequence. To construct the binary vector, plasmid DNA was purified from E. coli DH10b cells using a DNA Maxiprep kit (Qiagen) and the myc-cDNA were amplified by PCR and cloned into the standard 35S pEGAD expression vector, minus the EGFP. This construct was amplified in E. coli and then transformed to Agrobacterium strain EHA105. Wt- Col plants were transformed with P35S-myc-GNC-pEGAD or P35S-myc-CGA1-pEGAD by the floral dip  and selected with BASTA (Hoechst). Primers used for genotyping are listed in Table S1 and those used in cloning procedures are outlined in Table S2.
Chlorophyll and Chloroplast Measurements
Total chlorophyll levels were measured from the sixth leaf of plants of the same age using both the Minolta SPAD 502DL chlorophyll meter (Minolta) as well as the standard acetone extraction and spectrophotometeric quantification technique .
For measurements of leaf size, images of plant tissues were scaled and quantified using ImageJ Software (http://rsbweb.nih.gov/ij/).
Confocal microscopy was performed on fresh mounted leaf tissue using a Leica CM-1000microscope scanning auto-florescence of chlorophyll molecule and analysis was performed with LCS Lite software (Leica Microsystems Heidelberg GmbH) as previously described . Wax embedding and sectioning was performed according to standard protocols using a Leica RM-2265 microtome and consecutive 12 µm sections from the same area of stem (5 cm from base) were photographed on light microscope using Qcapture software (Qimaging).
To collect intact chloroplast, Arabidopsis rosette leaves were cut into small squares (approx 0.5 cm2), rinsed with distilled water and put in 2 ml round-bottom tube with 1 ml of ice cold Chloroplast Extraction Buffer (50 mM Hepes buffer pH 8.0, 5 mM MgCl, 1 mM EDTA, 1 mM DTT, 30% sorbitol and protease inhibitors). A round, metallic grinding bead was added and tissue ground using a Retsch Mill (MM 200) at low speed with multiple reps of 1 minute until is tissues is completely broken up. Extracts were filtered through layer of Miracloth and 100 µm nylon mesh that was pre-soaked in ice-cold Extraction Buffer. This process was repeated and chloroplasts pooled following low speed centrifugation (3000 g). Chloroplast suspension were loaded onto preformed Percoll gradient according to manufactures instructions (GE Healthcare Life Sciences) and centrifuged at 5000 g for 10 minutes at 4°C. Intact chloroplasts were collected and re-suspended 1 ml of Extraction Buffer. Extracts were again centrifuged for 10 minutes at 3000 g and the final pellet re-suspended for quantification using 0.1 mm hemocytometer or acetone for chlorophyll extraction. All statistical analyses were performed with JMP Statistical Analysis Software (www.jmp.com).
For Starch quantification, 100 mg fresh weight of mature fully expanded Arabidopsis leaves were flash frozen in liquid nitrogen, ground to a fine powder and extracted with 1 mL 100% methanol by shaking at 70°C for 15 min. The extraction was repeated two times and insoluble residue was freeze dried overnight, weighed, and starch content was determined with the Amylase/Amyloglucosidase method using the Megazyme Total Starch Assay kit according to the manufacturer's instructions (Megazyme International Ireland Ltd.)
Semi-quantitative RT-PCR and quantitative Real-time PCR
Total RNA was extracted from 100 mg leaf tissue using Trizol (Invitrogen), treated with DNAse (Promega) and purified using RNeasy Mini kit (Qiagen). Extracts were quantified using the Nanodrop ND-1000 (Nanadrop) and first strand synthesis of cDNA was performed using qScript cDNA SuperMix (Quanta Biosciences) from 1 µg total RNA. For semi-quantitative RT-PCR, reactions were performed using GoTaq Flexi (Promega) and expression of transgenic lines was quantified using ImageJ Software. Ubiquitin (UBQ10) was used as endogenous control.
Quantitative real-time expression was performed using PerfeCTa SYBR Green SuperMix ROX (Quanta Biosciences) on the ABI7300 (Applied Biosystems). Primers were selected from previous publications or designed using the Applied Biosystems software PRIMER EXPRESS 2.0. The corresponding 7300 system software 1.2.2 and the Applied Biosystems relative quantification study software 1.2.2 (Applied Biosystems) was used for analysis of expression levels with GAPDH as endogenous control. Primers used in expression analysis are listed in Table S3.
It should be noted that analyzing the expression of genes exhibiting circadian oscillations requires specific care to be taken with respect to sampling time. Because the baseline expression level of GNC and CGA1 are in constant circadian flux, differences in gene expression were found to be dependent on the time of day that the experiment was performed. Samples taken from different times of day also produce high levels of variation when compared. For this reason, comparisons of gene expression were made from samples harvested when endogenous levels of both GNC/CGA1 and HEMA1/GUN4 are lowest .
ChIP experiments were perform on the myc-tagged plants lines with the EZ ChIP™ Chromatin Immunoprecipitation (Millipore) kit according to manufacturers instructions using the monoclonal anti c-myc-antibody (Sigma). Following immunoprecipitation standard PCR reactions were performed using primers directed against promoter regions of suspected target genes containing GATA sites (Table S4) . PCR reactions were performed on both direct extract (input) and no-antibody controls to ensure specificity of c-myc antibody. For each extract, RNA polymerase II provided with kit was used as internal standard.
Quantitive Real-time RT-PCR analysis of gene expression from plants grown under full nutrient conditions. Relative expression of GATA lines compared to Wt-Col grown with 300 µmol/m2-s light and full nutrient fertilizer. Samples were taken from 100 mg of rosette leaf of 3 week old plants. Key genes involved in nitrogen assimilation, chlorophyll biosynthesis and chloroplast division analyzed (At least 3 biological replicates). Similar to chlorophyll readings, differences in gene expression are not as large under increased nutrient conditions as those taken from plant grown with reduced nutrients.
PCR primers used in genotyping gnc mutants and RNAi-cga1 lines.
PCR primers used in cloning for UBQ∶CGA1 over-expression and 35S∶myc-tagged lines.
Primers used for semi-quantitative RT- PCR and quantitative Real-time (qRT) PCR analysis of gene expression.
Special thanks to Dr. Thomas Schmülling (Institut für Biologie, Freie Universitat Berlin) and his colleagues Dr. Wolfram Brenner and Dr. Michael Riefler for correspondence and for providing the ahk2/3 mutant seed. Andrew Hand, Chris Lam, Greg Yuristy, and Laura Goodliffe for help with plant care and sample collection.
Conceived and designed the experiments: DH DG MWY YB SJR. Performed the experiments: DH DG. Analyzed the data: DH DG. Contributed reagents/materials/analysis tools: MWY CH NL JDC YMB. Wrote the paper: DH SJR.
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