Manipulating grain size is an effective strategy for increasing cereal yields. Here we identify a pathway composed of five subunits of the heterotrimeric G proteins that regulate grain length in rice. The Gβ protein is essential for plant survival and growth. Gα provides a foundation for grain size expansion. Three Gγ proteins, DEP1, GGC2 and GS3, antagonistically regulate grain size. DEP1 and GGC2, individually or in combination, increase grain length when in complex with Gβ. GS3, having no effect on grain size by itself, reduces grain length by competitively interacting with Gβ. By combining different G-protein variants, we can decrease grain length by up to 35% or increase it by up to 19%, which leads to over 40% decreasing to 28% increasing of grain weight. The wide existence of such a conserved system among angiosperms suggests a possible general predictable approach to manipulating grain/organ sizes.
Grain size is a major determinant of grain weight, which is a yield component trait for cereals. Grain size is also a trait for grain quality focused by rice breeders, as long and slender grains are preferred by rice consumers in many countries. Recent advances in rice functional genomics facilitated the cloning of a series of loci controlling grain size, including genes for grain length such as GS31, GL3.12,3, An-14, GLW75 and GS26,7; genes for grain width such as GW28, GW59,10, GS511, GW812 and GW713,14; and genes for grain weight such as GIF115, GE16, TGW617, GW6a18, BG119 and XIAO20.
G proteins are guanine nucleotide-binding trimeric proteins consisting of Gα, Gβ and Gγ subunits, and are involved in transmitting signals from a variety of stimuli outside a cell to its interior, thereby regulating various biological processes both in animals and plants. In animals, there are 16 Gα, 5 Gβ, 14 Gγ proteins and a large number of agonist-bound G-protein coupled receptors (GPCRs)21. In mammalian cells, G protein signaling is initiated by GPCRs, such that the Gα subunit is activated through the exchange of a GDP for GTP, which causes its dissociation with the Gβγ dimer. The disassociated Gα and Gβγ activate their own downstream effectors respectively thus performing various biological functions22,23,24. Most plant genomes contain much fewer G proteins23,25, and plant G proteins are self-activating without involving GPCR24. However, biological functions of plant G proteins have been much less studied.
Rice encodes one each of Gα and Gβ, and five Gγ proteins25,26. Both Gα and Gβ proteins are positive regulators of cell proliferation and grain size growth27,28,29,30. Gγ proteins are divided into three distinct groups according to their C-terminal structures31. Two typical Gγ subunits RGG1 (Group I) and RGG2 (Group II) are involved in regulation of abiotic stresses32,33,34. Natural variants of an atypical Gγ subunit DEP1 (Group III) showed functions in panicle architecture and nitrogen-use efficiency35,36,37. GS3, encoding a Gγ subunit (Group III) of the heterotrimeric G proteins, is a major QTL for grain size1,38. The wild-type GS3 protein produces medium grain, a loss-of-function allele results in long grain, while a truncated form lacking the C-terminus produces very short grain39. Numerous studies have established that GS3 is the most important regulator of grain length in both natural and breeding populations of cultivated rice40,41,42 and its natural variants have contributed greatly to the improved productivity and grain quality of rice in a global scale. The Gα, Gβ and Gγ proteins were also found to influence organ size and shape in Arabidopsis43,44,45,46, suggesting a general function of G protein signaling in organ size regulation in plants.
In this study, we identify a pathway made up of five subunits of the heterotrimeric G proteins that regulates grain size in rice. We show that manipulating the three Gγ proteins, DEP1, GGC2 and GS3, can achieve designed grain size, demonstrating a predictable approach to improve grain yield and quality.
GS3 and DEP1 conferred divergent functions on grain size
The GS3 protein shares significant similarity with DEP1 in the N-terminal region, which was named OSR (organ size regulation) domain39 and later recognized as Gγ-like domain26. The OSR domain of GS3 showed 68.7% identity to DEP1 at the DNA level and 50% identity by protein sequence. A number of natural variants of DEP1 and GS3 were found showing differences mostly in the length and composition of the C-terminal cysteine-rich domain36,39,47,48 (referred to as “tail” hereafter) (Fig. 1). DEP1 has a long tail of 305 amino acids in length; a 625-bp deletion in DEP1 causes a premature stop codon35,36, producing a truncated protein dep1 with a tail of 75 amino acids. The wild-type GS3 allele from the rice variety Zhenshan 97 (GS3-1) contains a relative short tail (115 amino acids). The GS3-4 allele from a rice variety Chuan 7 encodes a truncated GS3 protein lacking the entire tail and containing the OSR domain only39.
To compare the effects of these alleles on grain size, we transformed Zhonghua 11 (ZH11), a rice variety harboring functional alleles of both DEP1 and GS3-1 with medium grain size, with constructs overexpressing DEP1 (DEP1OE), dep1 (dep1OE), GS3-1 (GS3-1OE) and GS3-4 (GS3-4OE) respectively, and RNA-interference of DEP1 (DEP1Ri) and GS3-1 (GS3-1Ri). Transcript levels of all genes were checked in the young panicles of the transformants (Supplementary Fig. 1a, b).
We field-tested 2 or 3 T1 families randomly selected from T0 plants. Compared with the negative segregants, elevated DEP1 accumulation increased the grain length by 6.85–9.58% with a normal plant stature. However, plants overexpressing dep1 showed very similar phenotype to DEP1Ri plants, both of which reduced grain length by ~4.5%, together with dwarf stature and erect panicles (Fig. 1a and Supplementary Table 1). The expression level of endogenous DEP1 in dep1OE was not reduced (Supplementary Fig. 1c). Thus dep1 showed a dominant-negative effect over DEP1 in regulating grain size rather than co-suppression of the two genes. In contrast to DEP1OE, GS3-1OE showed an average 9.07% reduction in grain length together with reduced plant stature, very similar to the phenotype of dep1OE (Fig. 1b and Supplementary Table 1). GS3-4OE produced even smaller plants and grain size with an average 19.10% reduction of grain length relative to the negative segregant, while GS3-1Ri resulted in an average 5.78% increase of grain length. These results were similar to those of Mao et al39.
Because the major difference of DEP1, dep1 and GS3 lies in the C-terminal domain, the phenotype differences of the transgenic plants suggested that the tail length and composition of these genes are important for their functions. DEP1 with a long tail had a positive effect on grain length, while dep1 and GS3-1 with short tails played negative roles in grain length. Complete loss of the tail in GS3-4 further enhanced the negative effect of GS3 in grain length regulation.
Interaction between DEP1 and GS3 in grain size regulation
We crossed GS3-1Ri with dep1OE plants, all GS3-1Ri/dep1OE F1 plants exhibited reduced grain length, similar to dep1OE transgenic plants. In the F2 generation, all the GS3-1Ri/dep1OE plants also showed the dep1OE phenotype with respect to grain size, plant height and panicle length (Supplementary Fig. 2a).
Next, we introduced GS3-1 and dep1 driven by their own native promoters into a T-DNA mutant of GS3 with increased grain size (Supplementary Fig. 2b-c). Both transformants produced significant shorter grains, again supporting the conclusion that GS3-1 and dep1 had similar role in grain size regulation.
Using CRISPR/Cas9 editing, we obtained two independent T1 families for each of GS3-1 (GS3-1ko) and DEP1 (DEP1ko) single and double (GS3-1koDEP1ko) mutants in the background of ZH11 (Fig. 2a and Supplementary Fig. 3a–d). Consistent with the observation in RNAi plants, homozygous GS3-1ko mutant increased grain size, whereas homozygous DEP1ko mutant reduced grain size. The grain length of GS3-1koDEP1ko double mutant was intermediate between that of the single mutants of GS3-1ko and DEP1ko. To confirm the result, we crossed a GS3-1koDEP1ko double mutant with ZH11. In the F2 segregants, GS3-1ko homozygous plants also increased grain length, the DEP1ko homozygote reduced the grain length, while the grain length of GS3-1koDEP1ko double mutant was intermediate between that of the GS3-1ko and DEP1ko single mutants.
We further crossed GS3-1OE and GS3-4OE with DEP1ko plants. It was shown that knocking out DEP1 in the GS3-1OE or GS3-4OE background did not further reduce the gain size of GS3-1OE or GS3-4OE (Supplementary Fig. 2d). We also crossed DEP1OE with GS3-1Ri and GS3-1OE transgenic plants. Further increased grain length was observed when overexpressing DEP1 in GS3-1Ri background, whereas the DEP1OE/GS3-1OE hybrid showed the GS3-1OE phenotype of short grain (Supplementary Fig. 2e).
An atypical Gγ subunit GGC2 functions additively with DEP1
Both DEP1 (chromosome 9) and GS3 (chromosome 3) are atypical Gγ subunits. By searching the reference genome sequences of rice49,50, we found another atypical Gγ protein (GGC2) on chromosome 8, showing 66% and 48% identities to DEP1 and GS3, respectively. Transcripts of the three genes accumulated in the panicles, whereas DEP1 and GGC2 were also highly expressed in shoot apex relative to GS3 (Supplementary Fig. 1e). Overexpression of GGC2 (GGC2OE) in ZH11 increased grain length significantly, whereas knock-out mutant of GGC2ko in ZH11 reduced the grain length (Fig. 1c and Supplementary Fig. 1d, 3a, e), suggesting that like DEP1, GGC2 also acted as a positive regulator of grain length in rice.
To validate the relationship of GGC2 with DEP1 and GS3, we generated DEP1koGGC2ko double mutant and DEP1koGGC2koGS3-1ko triple mutant (Supplementary Fig. 3f, g). Two independent T1 families for each mutant were used for further investigation. Compared to the single mutant of DEP1ko or GGC2ko, knocking out both of them resulted in much smaller grains than either of the single knock-out mutants, suggesting that DEP1 and GGC2 worked additively in positive regulation of grain length. Moreover, the DEP1koGGC2koGS3-1ko triple mutant produced similar phenotype to that of DEP1koGGC2ko, thus GS3-1ko mutant could not increase grain length when both DEP1 and GGC2 were knocked-out (Fig. 2a).
Putting together the data from the above genetic analyses, an interesting outcome emerged concerning the genetic effects and functions of these genes. Taking the double mutants DEP1koGGC2ko that produced the smallest grain as the base line, adding either DEP1 (as shown by GGC2ko) or GGC2 (DEP1ko) could greatly increase grain size, and the effect on grain size increase of GGC2 was larger than that of DEP1. Having both DEP1 and GGC2 could further increase grain size (as shown by the wide-type ZH11). Although GS3-1ko increased grain size in the presence either or both of DEP1 and GGC2, it could not increase grain size in the double mutant (DEP1koGGC2ko). Therefore it became clear that DEP1 and GGC2 functioned positively in regulating grain size in an additive manner, while the role of GS3 in grain size regulation was to repress the effects of DEP1 and GGC2 on increasing grain size.
Functional dependence of the Gγ subunits on RGB1 and RGA1
The Gβ-mediated process requires a γ subunit to form a Gβγ dimer45,51,52. To investigate the genetic relationship between the three Gγ proteins with Gβ subunit RGB1 in grain size regulation, we tried to knock out RGB1 in ZH11 by CRISPR/Cas9, but failed to obtain a homozygous mutant in the T1 generation, likely because of lethality of the null mutant (Supplementary Fig. 4a). Therefore, we knocked down RGB1 by RNAi (RGB1Ri), and the transgenic plants with suppressed expression of RGB1 showed reduced grain size and plant height, together with brown lamina joint and internodes (Supplementary Fig. 4b), which was similar to the previously observed phenotype of suppressing RGB130. We crossed DEP1OE and GS3-1Ri with RGB1Ri transgenic plants, respectively, and overexpressed GGC2 in RGB1Ri. The RGB1Ri/DEP1OE and RGB1Ri/GGC2OE plants showed reduced grain length compared to the wild-type. Similar result was also obtained in the RGB1Ri/GS3-1Ri hybrid (Fig. 2b). Thus the effects of grain length increase by DEP1OE, GGC2OE and GS3-1Ri were dependent on RGB1.
We also knocked out RGA1 in ZH11. A homozygous RGA1ko-1 mutant with a 1269-bp deletion produced very small grains and plant size relative to the wild-type (Supplementary Fig. 4c), which was similar to the previously observed phenotype of rga1 (d1) mutant28,29. Three double mutants involving RGA1 were generated including: GS3-1Ri/RGA1ko produced by editing RGA1 (created an 804-bp deletion) in GS3-1Ri, DEP1OE/RGA1ko generated by editing RGA1 (1269-bp deletion) in DEP1OE, and GGC2OE/RGA1ko that overexpressed GGC2 in RGA1ko background. All three double mutants produced very small grains, similar to RGA1ko single mutant (Fig. 2b). Therefore, the effects of DEP1OE, GGC2OE and GS3-1Ri on grain size increase were also dependent on RGA1.
Thus the results of the genetic analyses showed that while RGB1 appears to play essential role for overall growth, RGA1 provided the baseline for the grain size regulation pathway composed of the three Gγ proteins, which may be summarized in Fig. 3a. In the presence of RGA1, DEP1 and GCC2, singly or together, function to increase grain size, while GS3 suppresses the effects of DEP1 and GCC2 to reduce grain size. Thus, relative to the wild type, knocking out RGA1 produces extremely short grains showing ~35% reduction in grain length, similar phenotype can be obtained when both DEP1 and GCC2 are knocked out (Fig. 3b). Knocking out either DEP1 or GCC2 results in moderate short grains (7.47 to 11.18% reduction), and overexpressing GS3 produces similar phenotype. Conversely, overexpressing either DEP1 or GCC2, or knocking out GS3 results in moderate increase (6.85 to 13.03%) in grain length and grain weight. Further increase in grain length (~20% increase) is obtained when DEP1 is overexpressed in the knock-down mutant of GS3, which also leads to large increase (28.45%) in grain weight. Based on the above results, we predict that overexpressing both DEP1 and GCC2 in the knock-out mutant of GS3 has the potential to further increase grain size. Thus grain size could be manipulated with combinations of the alleles of Gγ proteins, providing a highly flexible and predictable approach to modifying grain size and increasing grain yield.
The role of tail and competing interactions of Gγs with RGB1
To investigate the relative abundance of the proteins, we generated transgenic plants expressing Flag tag-fused GS3-4 (no tail), GS3-1 (short tail), dep1 (short tail) and DEP1 (long tail) respectively in ZH11 driven by the ubiquitin promoter. These transgenic plants phenocopied the corresponding ones with elevated expression of these genes without the Flag tag (Fig. 4a, b). Western blot analysis showed that GS3-4:Flag protein accumulated in much higher amount than did GS3-1:Flag (Fig. 4c). After treating with proteasome inhibitor MG132, GS3-1:Flag protein accumulation increased to a comparable level to GS3-4:Flag (Fig. 4d), indicating different rates of degradation of the GS3-1 and GS3-4 proteins in vivo. These results suggested that the C-terminal tail of GS3 is necessary for degradation of the protein and such tail-mediated proteolysis is critical for their function in grain size regulation. However, for unknown reason, the protein could not be detected in DEP1:Flag and dep1:Flag (Fig. 4c).
Using yeast two-hybrid (Y2H), BiFC, and luciferase activity assays, we found that GS3-1, GGC2, and DEP1 interacted with RGB1 through the OSR domain (amino acid 1-94 in GS3-1) (Fig. 5a–c). In assays using the protoplast of GS3-1OE, GS3-4OE and ZH11, the interaction of RGB1 with DEP1 or GGC2 was suppressed in the GS3-1OE background compared with that in ZH11, suggesting that there existed a competition between GS3 and DEP1 or GGC2 in interacting with RGB1 (Fig. 5d). In addition, the interaction of RGB1 with DEP1 or GGC2 was even weaker in GS3-4OE background, presumably due to the over-accumulation of GS3-4 protein in transgenic plants. Such competition of GS3, DEP1 and GGC2 in interaction with RGB1 was also supported by an in vitro yeast three-hybrid assay, showing that the interaction between DEP1/GGC2 and RGB1 was disrupted by the expression of GS3, and conversely the RGB1–GS3 interaction could also be influenced by DEP1 (Fig. 5e). These results suggested that RGB1-DEP1 and RGB1-GGC2 dimers positively regulate grain size, while occupation of RGB1 by the GS3 protein disrupts such function, and over-abundant GS3 results in short grain. Such competitive interactions provide an explanation for the antagonistic activities of these proteins in grain size regulation, allowing for the possibility that other subunits of G-proteins may also have roles in this pathway.
Application of the Gγ system in organ size manipulation
We searched protein sequences with significant similarity to DEP1, GS3 or GGC2 from a range of angiosperm plants, using reciprocal BLASTP (query cover > 30%, E < e−4, identity > 30%) in the NCBI database. A total of 96 proteins were found from 55 species, including both monocot and dicot plants (Supplementary Data 1). A maximum-likelihood phylogenetic tree was constructed to depict the relatedness of these proteins, which revealed two distinct clusters (Supplementary Fig. 5). The first cluster comprised 63 proteins from dicots, and the Arabidopsis homolog AGG3 was in this cluster showing the highest similarity to DEP1 (E = 2e−24). DEP1, GGC2 and GS3 belonged to the second cluster with 32 proteins from the monocots. Two maize Gγ proteins, DAA61661 (designated as ZmDEP1a, E = 4e-48) and DAA40167 (designated as ZmDEP1b, E = e-72), were identified showing higher similarity to DEP1 than to GGC2 and GS3. A maize Gγ protein of ACZ02400 (designated as ZmGS3, E = 2e-40) was identified as the orthologous copy of GS3. Reciprocal blast also showed that a maize Gγ protein DAA45508 (designated as ZmGGC2, E = 5e-50) has the highest similarity (73%) to rice GGC2. This suggested that the DEP1-GGC2-GS3 system is conserved in monocots. In addition, homologs of DEP1 also exist widely in dicots.
To investigate the effects of the various homologs on grain size regulation, we overexpressed DEP1, GS3-1, the Arabidopsis ortholog AGG3, the maize homolog ZmGS3 and the soybean homolog GmDEP1 in Daohuaxiang2 (DHX), a variety lacking functional GS3. AGG3, ZmGS3 and GmDEP1 contained short tail sequence, with 50%, 49% and 48% of protein identities to DEP1, and 45%, 74%, and 33% identities to GS3-1. The transgenic plants overexpressing DEP1 produced expected longer grains. And overexpressing AGG3, ZmGS3 and GmDEP1 in DHX resulted in reduced plant size and grain length, similar to the overexpression of GS3-1, also as expected on the basis of tail length. Furthermore, overexpressing the predicted OSR domains of AGG3 and ZmGS3 in DHX both resulted in reduced grain length and plant size (Fig. 6a and Supplementary Table 2). Thus differences in sequences of the N-terminal OSR domain or the entire proteins did not make difference in grain length regulation, but the tail length is critical. The long-tailed protein produced long grain, while the short-tailed and tailless proteins or the OSR domains alone produced short grain.
But the situation is different in Arabidopsis transformation. It was previously shown that overexpression of AGG3 in Arabidopsis increased organ size43. Introduction of DEP1, GGC2, and GS3-1 driven by the 35S promoter into agg3-2, a knock-out mutant of AGG3 with decreased organ size43, recovered the phenotype showing increased flower organ, silique length, and seed size compared with the agg3-2 mutant (Fig. 6b, c). Therefore, Arabidopsis did not distinguish the tail length difference of Gγ proteins, suggesting that Arabidopsis may not have evolved such a mechanism to be impacted by the tail-length difference in organ size regulation.
Based on the results of this study, we proposed a model to explain how these Gγ proteins work in grain size regulation (Fig. 3c). In this model, DEP1 and GGC2, when coupled with RGB1, promote grain size by tail-mediated signaling. GS3, though having no function in promoting or inhibiting grain size, reduces grain size by blocking the interaction of DEP1 and GGC2 with RGB1. The tail-mediated self-degradation of GS3 in the RGB1-GS3 complex provides a dynamic balance between blocking and the DEP1/GGC2–RGB1 interaction, thus a plant carrying GS3-1 produces medium grain. Without the tail (GS3-4), accumulated GS3-4 would largely occupy RGB1, resulting in short grain. The net outcome of the functional interactions among these genes thus determines grain size, allowing for the possibility that other subunits of G-proteins may also be involved in such a signaling pathway.
It should also be mentioned that similar behavior of DEP1 and GGC2 in grain size regulation does not mean that they have redundant functions at the whole plant level. In fact, these two genes show different expression profiles; constitutively overexpressing GGC2 (GGC2OE) resulted in shorter plants with fewer tillers and wider tillering angles than both wild-type and DEP1OE (Fig. 1c), suggesting that these two genes have different roles in growth and development.
A question thus arose: why did GS3 arise and how has it been maintained in the population at a predominantly high frequency? To answer this, we investigated the transgenic plants overexpressing DEP1 and GGC2, as well as RNAi of GS3 for yield related traits (Supplementary Table 1). Although these transgenes significantly increased grain length and weight, without exception, they reduced number of grains per panicle to the extents similar to their effects on grain length increase, indicating that the increased grain size is at the cost of fitness. Thus from fitness viewpoint, medium grain is probably the optimal for rice reproduction; increasing grain size to make it larger than medium would compromise fitness of the rice plant. As a strategy, the rice plant installed GS3 specifically to serve as a check to prevent the grain from becoming too large, as suggested by its specific expression in the developing panicle. Thus, while DEP1 and GGC2 function to promote grain size, which is essential for yield increase in breeding, GS3 plays a role to keep balance for maintaining fitness in response to natural selection.
Based on the understanding advanced in this study, the interactions of three Gγ proteins can be used for a predictable design of grain size in rice, by manipulating these genes, individually or in combination, to improve rice grain yield and quality. Moreover, as the Gγ proteins are highly conserved in a very wide range of plants, manipulating these proteins may provide a general strategy for modifying organ size and yield in crop breeding.
BLAST search and phylogenetic analyses
Reciprocal BLASTP searches were done against the NCBI (http://blast.ncbi.nlm.nih.gov) and MSU (http://rice.plantbiology.msu.edu) databases, using the protein sequences of DEP1, GS3, and GGC2 (query cover >30%, E<e−4, identity >30%). The phylogenetic tree was built based on the alignment of protein sequences, using MEGA 6.0.653. The maximum-likelihood method was used with the parameters of Poisson model and bootstrap 1000 replicates.
Field planting and trait measurement
The rice plants were grown in the field in the normal rice growing seasons in Wuhan, China, and in Hainan in winter seasons. The planting density was 16.5 cm between plants in a row, and 26.5 cm between rows. Field management including irrigation, fertilizer application, and pest control followed essentially normal agricultural practices. Harvested grains were air-dried and stored at room temperature. Fully filled grains were used to measure the grain size using YTS system54.
Arabidopsis plants were grown in soil at 22 °C under long-day conditions (16 h light/8 h dark). Petals and siliques were scanned to produce a digital image, and seeds were photographed under a Leica microscope. The petal length, silique length, and seed size were measured using image J software (https://imagej.nih.gov/ij/).
Vector construction and plant transformation
The coding sequences of GS3-1 and GS3-4 were amplified from full-length cDNA of Guangluai 4 (Osigcea013f09t3) in pBluescript SK2 (Stratagene). The coding sequences of DEP1 and dep1 were amplified from rice cultivar ZH11 by RT-PCR. The four sequences were inserted into pCAMBIA1301u to generate the constructs of GS3-1OE, GS3-4OE, DEP1OE, and dep1OE respectively, under an ubiquitin gene promoter. The coding sequence of GGC2 was also amplified from the rice cultivar ZH11 by RT-PCR, and was inserted to pCAMBIA1301s to generate the construct GGC2OE.
To construct the RNAi vectors for GS3, DEP1, and RGB1, ~500-bp fragment of the cDNA sequence was inserted into a pDS1301 vector modified from pCAMBIA130155.
The coding sequences of GS3-1 and dep1 were cloned into a pCAMBIA2300 vector under a 1.9-kb promoter of GS3 and a 2.9-kb promoter of DEP1 to generate the constructs GG, Gd, DG, and Dd, respectively. These vectors were transformed into gs3 (PFG_3A-03580), a homozygous mutuant with a T-DNA insertion in the second intron of GS3, using Agrobacterium tumefaciens EHA105.
Genome sequences of AGG343 and GmDEP1 (from soybean variety Zhongdou 32), and cDNA sequence of ZmGS356 were amplified and inserted into pCAMBIA1301s to generate 35 S::AGG3, 35 S::GmDEP1, 35 S::ZmGS3, 35 S::AGG3OSR, and 35 S::ZmGS3OSR vectors. All the constructs confirmed by sequencing were introduced into Agrobacterium tumefaciens EHA105 and transformed into ZH11 or DHX by Agrobacterium-mediated transformation as described in Lin and Zhang (2005) with minor modifications57.
The DEP1, GGC2, and GS3 sequences were amplified and inserted into pCAMBIA1301s to construct 35 S::DEP1, 35 S::GGC2, and 35 S::GS3 vectors. They were introduced into an Arabidopsis agg3-2 mutant using Agrobacterium tumefaciens EHA105. The medium supplemented with hygromycin (30 mg ml−1) was used to select the transformants. All primers for vector construction are listed in Supplementary Data 2.
Generation of knock-out mutants using CRISPR/Cas9 technology
The CRISPR/Cas9 system was used to generate the knock-out mutants58. The single mutants of DEP1ko (sgRNA designed in exon1) and GS3ko (sgRNA designed in exon1) were generated under the rice promoters of OsU3, OsU6b and OsU6a, OsU6c respectively. The double mutant GS3koDEP1ko was generated using the four sgRNAs in single mutants (Supplementary Fig. 3a–d).
The double mutant DEP1koGGC2ko was generated using the sgRNAs targeting both GGC2 and DEP1 in exon1, and the single mutant GGC2ko was generated using the sgRNAs targeting exon2. The triple mutant DEP1koGGC2koGS3-1ko was obtained using the sgRNAs targeting DEP1, GGC2, and GS3 in exon1 (Supplementary Fig. 3e–g)
The RGB1ko and RGA1ko mutants were generated using the three sgRNAs under the rice OsU3, OsU6a, and OsU6b promoters (Supplementary Fig. 4).
Mutations were confirmed by PCR sequencing in T0 and T1 generations.
RNA extraction and qRT-PCR
Tissues used for expression analysis included root, shoot, leaf sheath, flag leaf, panicles of 0.5 cm, 1 cm, 2 cm, 3.5 cm, 6.5 cm, 8 cm, 11 cm, 16.5 cm, 19 cm, 22 cm in length, and shoot apex at 10, 22, 34, 40, and 44 days after germination. Total RNA was isolated using an RNA extraction kit (TRIzol reagent; Invitrogen), and quantified using Nanodrop (Thermo). For qRT-PCR, approximately 3 μg of total RNA was reverse-transcribed using SuperScript reverse transcriptase (Invitrogen) in a volume of 20 μl to obtain the cDNA. qRT-PCR was carried out in a total volume of 25 μl containing 2 μl of the above reverse-transcribed product, 0.25 mM gene-specific primers, and 12.5 μl SYBR GreenMasterMix (Applied Biosystems) on an Applied Biosystems 7500 Real-time PCR system according to the manufacturer’s instructions. Data were normalized with rice ubiquitin gene (LOC_Os03g13170). Primers used for qRT-PCR analysis are listed in Supplementary Data 2. The measurements were obtained using the relative quantification method59.
Yeast two-hybrid and yeast three-hybrid assays
Yeast two-hybrid experiment was performed using the Matchmaker Two-Hybrid System (Clontech). The coding sequences of RGB1, GS3, DEP1, GGC2 and their truncated forms were amplified using primers listed in Supplementary Data 2. The obtained fragments were cloned into PGADT7 and PGBKT7 separately. The yeast two-hybrid assay was performed through cotransformation of the respective prey and bait vectors in the yeast (Saccharomyces cerevisiae) strain AH109 according to the lithium acetate transformation method60. The transformed yeast cells were selected by plating them onto synthetic dropout selection medium lacking Leu and Trp (SD/-LW). Interactions were assayed on synthetic dropout interaction medium lacking Leu, Trp, His and Ade (SD/-LWHA).
For the yeast three-hybrid assay61, the prey vectors pGADT7-GS3, pGADT7-DEP1, and pGADT7-GGC2 were cotransformed with the different pBRIDGE (Clontech) bait vectors in the yeast strain AH109, respectively. Yeast strain AH109 was streaked three times to single colony on agar plates lacking Methionine (SD/-Met) since they tended to lose tolerance to this medium if not maintained on it routinely. Transformed cells were selected on synthetic dropout selection medium lacking Leu, Trp, Met (SD/-LWM) and interactions on SD/-Leu-Trp-Met-His (SD/-LWMH). The specificity of the stringency of the assay was tested by adding 5 mM 3-aminotriazole. For liquid β-galactosidase assay with CPRG as substrate, liquid cultures in SD-LWM were inoculated with three yeast colonies and incubated overnight. The calorimetric β-galactosidase assay of the supernatant and the following activity calculation were done, as described in the Clontech Yeast Protocols Handbook.
The coding sequences of GS3, DEP1, GGC2 and their variants were amplified using primers listed in Supplementary Data 2. The obtained fragments were cloned into pSPYNE(R)173 and pSPYCE(MR), respectively62. The plasmid mixtures were introduced into Arabidopsis protoplasts. After incubation in the dark overnight, the fluorescence was observed with Olympus FluoView FV1000.
Luc activity assay
The coding sequences of GS3-1, GS3-4, DEP1 and GGC2 were cloned to the C-terminal Luc fusion vector PUC19-cLUC, whereas RGB1 was cloned to the N-terminal fusion Luc vector PUC19-nLUC63. The rice protoplast was isolated from rice shoot of 15-day-old seeding under dark conditions. For protein–protein interaction, N- and C-terminal Luc fusion genes were co-transformed with 35 S::REN by the ratio 10:10:1, with the latter as the internal control. Luc and REN reporter activity was detected with a Dual-Luciferase Reporter Assay System (Promega E1910). Relative activity of the Luc reporter was expressed as the ratio of Luc to REN.
Rice shoot (100 mg) was collected and lysed in 800 μl lysis buffer (50 mM Tris, pH 7.5, 150 mM NaCl, 0.1% Triton X-100, 0.2% Nonidet P-40, protease inhibitor cocktail (Roche, one tablet for 10 ml)) before centrifugation at 13,500 × g. for the supernatant. Plant extracts were loaded onto SDS–PAGE gel, and run until bromophenol blue was approximately touched the bottom of the gel. The proteins were transferred to a PVDF membrane. The membrane was blocked in 5% (wt/vol) nonfat milk for 1 h at room temperature and with anti-Flag antibody (Sigma Catalog F3165, dilution 1:10000) overnight at 4 °C. The membrane was washed in TBST (20 mM Tris, 150 mM NaCl, pH = 8.0 plus 0.05% Tween 20) four times, incubated with Goat anti-mouse secondary antibody (SouthernBiotech Catalog 1031-05, dilution 1:10000) for 1 h, and washed in TBST four times at room temperature. The uncropped scans with marker position are shown in Supplementary Fig. 6.
Statistical analysis was conducted using SPSS statistics 23.0 for Windows (IBM, Armonk, NY, USA). The two-tailed t test was used for comparing agronomic traits of each transgenic line with the control. The Fisher’s Least Significant Difference (LSD) test was used for multiple mean comparisons.
All the vectors and the seeds of the plant materials generated in this study are available from the corresponding author upon request.
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We thank Dr. Yunhai Li for providing the Arabidopsis seeds, Drs. Jianbing Yan and Qing Li for the cDNA of ZmGS3, Dr. Wenhui Wei for the soybean seed, and Dr. Yaoguang Liu for the CRISPR construct. This work was supported by grants from the National Key Research and Development Program (2016YFD0100903), the National Natural Science Foundation of China (31771873), the Earmarked Fund for the China Agriculture Research System of China (CARS-01-05), and Bill & Melinda Gates Foundation.