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Article

Simultaneous Improvement of Grain Yield and Quality through Manipulating Two Type C G Protein Gamma Subunits in Rice

Agronomy College of Shenyang Agricultural University, 110866 Shenyang, China
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Int. J. Mol. Sci. 2022, 23(3), 1463; https://doi.org/10.3390/ijms23031463
Submission received: 20 December 2021 / Revised: 24 January 2022 / Accepted: 25 January 2022 / Published: 27 January 2022
(This article belongs to the Special Issue Yield Traits and Their Genetic Pathway in Crop)

Abstract

:
Heterotrimeric G protein signaling is an evolutionarily conserved mechanism in diverse organisms that mediates intracellular responses to external stimuli. In rice, the G proteins are involved in the regulation of multiple important agronomic traits. In this paper, we present our finding that two type C G protein gamma subunits, DEP1 and GS3, antagonistically regulated grain yield and grain quality. The DEP1 gene editing we conducted, significantly increased the grain number per panicle but had a negative impact on taste value, texture properties, and chalkiness-related traits. The GS3 gene editing decreased grain number per panicle but significantly increased grain length. In addition, the GS3 gene-edited plants showed improved taste value, appearance, texture properties, and Rapid Visco Analyser (RVA) profiles. To combine the advantages of both gs3 and dep1, we conducted a molecular design breeding at the GS3 locus of a “super rice” variety, SN265, which has a truncated dep1 allele with erect panicle architecture, high-yield performance, and which is of mediocre eating quality. The elongated grain size of the sn265/gs3 gene-edited plants further increased the grain yield. More importantly, the texture properties and RVA profiles were significantly improved, and the taste quality was enhanced. Beyond showcasing the combined function of dep1 and gs3, this paper presents a strategy for the simultaneous improvement of rice grain yield and quality through manipulating two type C G protein gamma subunits in rice.

1. Introduction

The challenge of meeting the increasing worldwide demand for rice production has driven a sustained quest for advances in rice breeding. China was one of the first places to domesticate and cultivate rice, and today, it is the largest rice-producing country in the world [1]. The last century has witnessed the introduction of semi-dwarf and hybrid rice varieties, leading to quantum leaps in productivity that increased China’s rice yield from 1.9 t ha−1 in 1949 to 7.0 t ha−1 in 2018 (http://faostat.fao.org/; Data: 12 October 2021). In China’s national new rice variety trial, the average yield of new varieties from 2004 to 2018 reached 9.6 t ha−1 [2]. As the economy and living standards have significantly improved during recent decades, studies have focused on rice quality. Eating and cooking quality (ECQ) is one of the most important determinants of grain quality. However, it is challenging to simultaneously improve grain yield and quality.
The heterotrimeric G protein complexes play important roles as signal transducers from receptors to downstream events [3,4,5,6], and the G protein signaling pathways have been extensively studied in both animals and plants because of their role in regulating almost every physiological response [3]. Although the heterotrimeric G protein subunits are all present in plants, the repertoire of G protein in plants is much simpler than that in animals [6]. In the rice genome, single-copy genes encode canonical G alpha (RGA1) and G beta (RGB1) subunits [7,8,9], and there appear to be two type B G gamma subunits, which do not have canonical isoprenylation domains (RGG1 and RGG2) [10,11]. In addition to the canonical G gamma subunits, the rice genome encodes three type C G gamma subunits, GS3, OsGGC2, and DEP1 [6]. Analyses of DEP1 and GS3 polymorphisms have revealed their key roles in the regulation of important agronomic traits. Natural variants of the DEP1 gene were shown to promote panicle branching and improve grain yield. The rice plants harboring a truncated dep1 allele exhibited increased grain number per panicle, dense and erect panicle architecture, and enhanced grain yield [12,13,14]. Our previous studies demonstrated that more than 50% of rice varieties in the northeast of China carry the truncated allele of dep1; moreover, the cultivation area for erect panicle varieties has increased annually in China [13,15]. Unfortunately, the varieties harboring a truncated dep1 allele are considered to be of mediocre eating and cooking quality, and the short and round grains produced by the truncated dep1 allele are not favored by consumers. Interestingly, another type C G protein gamma subunit, GS3, functions as a negative regulator of grain length [16]. The plants carrying the loss-of-function gs3 allele produce longer grains than those formed by the functional GS3 allele [17]. Thus, both of the type C G protein gamma subunits are involved in the regulation of grain yield and quality.
As the two G protein gamma subunits, DEP1 and GS3 antagonistically regulate grain size, and the elite allele of each gene compensates for the other’s deficiencies. The aim of this study was to determine whether grain yield and quality could be simultaneously improved through manipulating two type C G protein gamma subunits in rice. In addition, we examined whether DEP1 and GS3 were involved in the regulation of other quality traits besides grain shape, such as taste value, texture properties, and Rapid Visco Analyser (RVA) profiles. In this study, we generated the mutant lines of DEP1 and GS3 using CRISPR/Cas9 gene-editing technology, and the yield- and quality-related traits were comprehensively investigated. Molecular design breeding was employed for SN265, a high-yield performance variety with erect panicle architecture, to enhance the grain quality through GS3 gene editing. The study provides a strategy for simultaneous improvement of yield and quality through manipulating two type C G protein gamma subunits in rice.

2. Results

2.1. Construction of Two Type C G Protein Gamma Subunit Mutants in Rice

To conduct a comprehensive investigation of the phenotypic changes in the DEP1 and GS3 lines, we generated the mutants of two G protein gamma subunits using CRISPR/Cas9 gene-editing technology under the genetic background of the japonica rice variety Sasanishiki (WT). DEP1 has a modular arrangement with a conventional plant-specific G gamma subunit protein domain at its N-terminus, followed by a cys-rich domain at the C-terminus. An allelic investigation of japonica rice varieties showed that almost all the erect panicle varieties harbored a truncated dep1 allele. This type of allele had a 637-bp stretch of the middle of the fifth exon replaced by a 12-bp sequence, which created a premature stop codon and caused loss of the cys-rich domain at the C-terminus. Accordingly, we designed the PAM sequence for CRISPR/Cas9 gene editing in a similar region of the fifth exon (Figure 1A). The homozygous T2 crispr/dep1 mutants reserved the whole G gamma subunit protein domain but lost the cys-rich domain. Then, the yield-related traits of the crispr/dep1 plants were investigated. The height of the crispr/dep1 plants was significantly less than that of WT, and no obvious differences in the panicle number per plant and the setting rate were observed between WT and the mutant. As expected, the grain number per panicle of crispr/dep1 was significantly increased, whereas the 1,000-grain weight of crispr/dep1 was significantly decreased compared to WT.
The premature termination of GS3 at the G gamma protein domain causes a long-grain phenotype [17]. To imitate the elite allele of GS3, the sgRNA sequence was designed before the G gamma protein domain, to eliminate the entire G gamma protein domain, and to create the crispr/gs3 mutants. The homozygous T2 crispr/gs3 mutants exhibited an obvious increase in grain length, which significantly increased the 1,000-grain weight, whereas the grain number per panicle of the mutant was significantly decreased compared to that of WT. There were no significant differences in panicle number and setting rate between crispr/gs3 and WT. Therefore, the crispr/dep1 mutant showed improved grain yield due to the increased grain number per panicle, whereas the crispr/gs3 mutant exhibited comparable yield performance to WT due to the decreased grain number per panicle, although the grain size was significantly increased.

2.2. The Grain Changes of DEP1 and GS3 Mutants

The spikelet hull just before fertilization was much longer in crispr/gs3 than in WT and crispr/dep1, and crispr/gs3 had similar grain width to WT and crispr/dep1 (Figure 2A,D,E). An investigation of a cross-section of the spikelet hulls showed that there were no obvious differences in spikelet perimeter, cell number, or cell area of both the palea and lemma between WT and the mutants (Figure 2B,F–I). In addition, an obvious difference in longitudinal cell density on the outer surface of the glume was observed between WT and the mutants (Figure 2C,J). Thus, these findings suggest that the long grain length in the spikelet hull was the result of an increase in longitudinal cell density on the outer surface of the glume. The milled rice from crispr/gs3 was longer than that from WT and crispr/dep1. More importantly, the cripsr/gs3 mutants could eliminate the negative effect of the transparency of the milled rice from crispr/dep1. Some milled rice from crispr/dep1 showed an obvious white core or belly area in the endosperm, unlike that from WT and crispr/gs3, which showed no or very little chalkiness (Figure 2 and Figure 3). The scanning electron microscope images showed that the endosperm of WT and crispr/gs3 was comprised of more tightly packed and sharp-edged polygonal starch granules (Figure 2L). Accordingly, crispr/gs3 was assumed to confer better quality compared to that of WT and crispr/dep1.

2.3. The Quality Traits of WT and the DEP1 and GS3 Mutants

As expected, obvious differences in yield-related traits were observed between WT and the mutants. A comprehensive investigation of the quality traits of the DEP1 and GS3 mutants was subsequently conducted. A total of 20 quality traits including taste value, texture properties, milling quality, appearance quality, nutritional quality, and RVA profiles were investigated (Figure 3). The crispr/gs3 mutant showed a strong advantage in taste value and appearance quality compared to WT and the crispr/dep1 mutant (Figure 3A,B). Cooked rice texture properties such as hardness, stickiness, and springiness are appealing to consumers and directly reflect eating and cooking quality. The hardness of crispr/gs3 was significantly decreased, whereas the stickiness and springiness were significantly increased compared to that of WT and crispr/dep1. There were no obvious differences in chalkiness-related traits between WT and cirspr/gs3, but the crispr/dep1 mutant exhibited a dramatic increase in terms of both the chalkiness rice ratio and its chalkiness level. The milling quality of crispr/gs3 was impaired due to elongated grain length compared to that of WT and crispr/dep1. There were no significant differences in amylose content or fatty acids among WT and the two mutants. The protein content of crispr/dep1 was significantly increased, whereas the protein content of crispr/gs3 was obviously decreased compared to that of WT. The RVA profiles revealed that the breakdown viscosity, hot paste viscosity, cool paste viscosity, peak viscosity, and setback paste viscosity of crispr/gs3 were significantly increased, whereas the peak time and pasting temperature of crispr/gs3 were significantly decreased compared to WT and crispr/dep1. There were no obvious differences in setback paste viscosity among WT and the two mutants. Overall, the crispr/gs3 gene-edited plants exhibited an advantage in almost all quality traits, except for a slight decline in milling quality, whereas the crispr/dep1 mutant exhibited comparable quality traits to WT despite the lower taste value and chalkiness related traits.

2.4. Molecular Design Breeding of a “Super Rice” Variety

Since the 1980s, several high-yielding japonica rice strains, whose architecture is characterized by dense and erect panicles, have been released as commercial varieties. In China, examples of this japonica ideotype, such as SN265, have dominated the japonica rice acreage. SN265 harbors a truncated allele of dep1 and has high-yield potential in addition to preferable integrated traits, such as lodging resistance and a well-developed vascular system. However, the short and round grains caused by the truncated dep1 allele and the mediocre eating and cooking quality have limited further commercial promotion. To enhance the quality traits of SN265, we conducted a molecular design breeding strategy by gene editing at the GS3 locus of SN265 (Figure 4). The homozygous T2 sn265/gs3 mutants showed similar plant architecture to SN265, and there were no significant differences in plant height, panicle number, and setting rate between SN265 and sn265/gs3. As expected, the grain length of sn265/gs3 was significantly increased, which enhanced the 1000-grain weight, and eventually increased the grain yield per plant, although the grain number per panicle was significantly decreased compared to that of SN265.

2.5. The Quality Traits of the Improved Variety

To confirm that the molecular design breeding strategy resulted in enhanced quality traits while maintaining the yield potential of SN265, 20 quality traits of SN265 and sn265/gs3 were surveyed (Figure 5). As expected, the taste value and appearance quality of sn265/gs3 were obviously enhanced compared to those of SN265. The hardness of sn265/gs3 was significantly decreased, whereas the stickiness and springiness increased significantly compared to SN265. There were no obvious differences in the chalkiness rice ratio between SN265 and sn265/gs3, but the chalkiness level of sn265/gs3 was improved compared to SN265. SN265 showed an advantage in milling quality compared with sn265/gs3. Both SN265 and sn265/gs3 showed similar amylose content and fatty acid content, but sn265/gs3 had a lower value of protein content than that of SN265. Significant differences in RVA profiles were observed between SN265 and sn265/gs3, with the exception of setback paste viscosity. Taken together, the gene-editing of GS3 could dramatically enhance the quality traits of SN265.

3. Discussion

Recent molecular research has demonstrated that gamma subunits are considered important components of heterotrimeric G proteins that regulate multiple crucial growth and development processes [6]. DEP1 and GS3 represent type C G protein gamma subunits that are widespread throughout seed plants but do not exist in animals [6,11]. This type of C G protein subunit has a modular arrangement with a conventional plant-specific G gamma subunit protein domain at its N-terminus, followed by a cys-rich domain at the C-terminus. Numerous studies have revealed that the length variation in the cys-rich domain in DEP1 and GS3 contributes to the diversity in grain number and grain size [17,18,19]. Although the functions of DEP1 and GS3 in the regulation of yield potential have been extensively studied, the functions involved in grain quality remain unknown. Quality improvement is the ultimate goal of rice breeding. In this study, we found that the truncated dep1 allele enhanced the yield potential by increasing the grain number per panicle, with a negative impact on taste value, protein content, and chalkiness-related traits. In contrast, the knockout gs3 mutant showed a dramatic improvement in taste value, appearance quality, texture properties, and RVA profiles without a yield penalty. These results reveal an opportunity to simultaneously improve the yield and quality of rice through manipulating the two type C G protein gamma subunits. Our subsequent molecular design breeding of super rice variety SN265 confirmed that the combination of the elite alleles could enhance both yield and quality.
Heterotrimeric G proteins consist of G alpha, G beta, and G gamma units. The rice genome encodes one G alpha protein, one G beta protein, and five G gamma proteins. By combining different G protein variants constructed by CRISPR/Cas9 (ko), gene over-expression (OE), and RNA-interference (Ri), grain length can be increased by up to 19% or decreased by up to 35%, which has produced a 28% increase to a 40% decrease in grain weight in previous research [20]. The cross between GS3Ri plants and dep1OE plants showed that the GS3Ri/dep1OE plants exhibited reduced grain length, similar to dep1OE transgenic plants. The cross between GS3ko and DEP1ko demonstrated that the GS3ko mutant exhibited increased grain size, the DEP1ko mutant had reduced grain length, and the grain length of the GS3koDEP1ko double mutant was intermediate between those of the GS3ko and DEP1ko single mutants [20]. The results of the present study confirmed that the gs3 mutant exhibited increased grain length, and the gs3dep1 double mutant showed intermediate grain length compared to that of the single mutants. However, in the present study, the dep1 mutant showed a similar grain length to WT, in contrast with the findings of a previous study where DEP1ko exhibited reduced grain length [19]. The difference in phenotype might be due to the different positions of the sgRNA in CRISPR/Cas9 gene editing. The present study generated a truncated dep1 allele, which is similar to natural variations, such as SN265 [11], and Sun et al. designed the sgRNA at the first exon of DEP1, which eliminated both the G gamma subunit domain and the cys-rich domain. The latter mutant may have a more severe impact on grain length. Taken together, not only can DEP1 and GS3 be used to predictably design grain size, but they can also be used to enhance taste value, appearance quality, texture properties, and RVA profiles. This paper presents a strategy for the simultaneous improvement of grain yield and quality through the manipulation of two type C G protein gamma subunits in rice. Thus, the combination of other G protein subunits besides DEP1 and GS3 might provide more preferable germplasms with high grain yield and quality.

4. Materials and Methods

4.1. Plant Materials

In this study, Sasanishiki (WT) and homozygous T2 mutants of DEP1 and GS3 were employed. Shenyang Agricultural University’s Rice Research Institute (N41°, E123°) was used to conduct field tests. The seeds were planted on 21 May 2021 after being sowed on 15 April. Each line was planted in three rows, with 10 plants per row and a 30 cm × 13.3 cm plant spacing. Fertilizers were applied at a rate of 150 kg N per hectare, 150 kg P per hectare, and 150 kg K per hectare as a basal dressing. As a top application, 75 kg N per acre was applied 7 days after transplanting. After 45 days of heading for each line, the paddies were harvested.

4.2. Vector Construction and Plant Transformation

The CRISPR/Cas9 gene-editing vector construction was carried out as previously described [21]. The 23-bp targeting sequences (including PAM) inside the target genes were selected, and a BLAST search was performed against the Nipponbare genome to ensure targeting specificity [22]. The rice transformation was carried out following the procedure described in an earlier report [23]. Genomic DNA was collected from these transformants after rice transformation. Primer pairs around the intended target site were used in the PCR amplification. The PCR products (300–500 bp) were sequenced using the degenerate sequence decoding technique [24].

4.3. Microscopy Observations

Fresh young spikelet hulls were fixed, dehydrated, and embedded in Paraplast Plus (P3683-1KG, Sigma-Aldrich, St. Louis, Missouri, USA), after which they were sliced into 10-m-thick slices. Light microscopy (CX43, Olympus, Tokyo, Japan) was used to examine cross-sections, and ImageJ and Adobe Photoshop CS2 software were used to count and measure the number of cells in the outer parenchyma cell layer of hulls. The exterior surfaces of the spikelet glumes were studied using a scanning electron microscope (S-4800, Hitachi, Tokyo, Japan). Natural cross-sections of mature milled rice were examined using a scanning electron microscope (SEM TM1000, Hitachi, Tokyo, Japan) to look for starch granules.

4.4. Quality Traits Measurement

The plants were harvested from the middle rows for the investigation of yield and quality traits. After harvest, mature rice grains were milled, air dried and stored at room temperature for three months. Then the brown rice ratio, milled rice ratio, and head rice ratio were calculated. The brown rice ratio was evaluated after the grains were dehulled using a Rubber Roll Sheller (THU testing hunsker, Satake, Hiroshima, Japan). The brown rice was then milled using rice-polishing equipment (TM05 test mill, Satake, Hiroshima, Japan). The amylose content and protein content were surveyed according to The National Standard of the People’s Republic of China (GB/T17891–1999). The rice protein compositions were extracted and measured using the methods described by Tan et al. (1999) [25]. The pasting properties of the rice flour were investigated using a Rapid Visco Analyser (Tech Master, Newport Scientific, Warriewood, Australia), and the data were analyzed according to the experimental procedure described by Zhang et al. (2013) [26].

Author Contributions

Conceptualization, Q.X.; investigation, L.W., X.W. and Z.Y.; data curation, X.C.; writing—original draft preparation, Q.X.; writing—review and editing, Q.X.; supervision, Q.X.; project administration, Q.X.; funding acquisition, Q.X. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the National Natural Science Foundation of China, grant number 32071982.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The study did not report any data.

Acknowledgments

We thank Fengcheng Li at Rice Research Institute of Shenyang Agricultural University for the technical support of CRISPR/Cas9 gene editing.

Conflicts of Interest

The authors declare no conflict of interest.

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Figure 1. The yield-related traits of the japonica variety Sasanishiki (WT) gene-edited mutants. (A) Schematic diagram of the genomic region and functional domain of WT and CRISPR gene-edited mutants. The sequence alignment of the sgRNA target region shows altered bases in different lines. The arrows indicate the position of the sgRNA. (B) The plant architecture of WT and gene edited mutants. Bar = 20 cm. (C) The grain size of WT and gene edited mutants. Bar = 1 cm. (D) The grain number per panicle of WT and gene edited mutants. Bar = 1 cm. (E–K) The plant height, panicle number, grain number per panicle, grain shape, 1000—grain weight, setting rate, and grain yield per plant of WT and gene edited mutants. The data are the mean ± s.d. (n = 10 plants), and different letters indicate significant differences at the 5% level. The red, blue and green dots indicate the individual values of WT, crispr/dep1, and crispr/gs3, respectively.
Figure 1. The yield-related traits of the japonica variety Sasanishiki (WT) gene-edited mutants. (A) Schematic diagram of the genomic region and functional domain of WT and CRISPR gene-edited mutants. The sequence alignment of the sgRNA target region shows altered bases in different lines. The arrows indicate the position of the sgRNA. (B) The plant architecture of WT and gene edited mutants. Bar = 20 cm. (C) The grain size of WT and gene edited mutants. Bar = 1 cm. (D) The grain number per panicle of WT and gene edited mutants. Bar = 1 cm. (E–K) The plant height, panicle number, grain number per panicle, grain shape, 1000—grain weight, setting rate, and grain yield per plant of WT and gene edited mutants. The data are the mean ± s.d. (n = 10 plants), and different letters indicate significant differences at the 5% level. The red, blue and green dots indicate the individual values of WT, crispr/dep1, and crispr/gs3, respectively.
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Figure 2. Histological analysis of spikelet hulls. (A) Young spikelet hulls of the japonica variety Sasanishiki (WT) and the crispr/dep1 and crispr/gs3 mutants. The red line indicates the position of the cross-section. Scale bar = 3 mm. (B) The cross-section of the spikelet hulls. Scale bar = 200 μm. (C) Scanning electron microscope analysis of the outer surfaces of the glumes. Scale bars = 100 μm. (DJ) The grain length (D), grain width (E), palea cell number (F), lemma cell number (G), palea cell area (H), lemma cell area (I), and cell length in longitude (J) of WT, crispr/dep1, and crispr/gs3. The data are the mean ± s.d. (n = 10 plants), and different letters indicate significant differences at the 5% level. The red, blue and green dots indicate the individual values of WT, crispr/dep1, and crispr/gs3, respectively. (K) The head rice of WT, crispr/dep1, and crispr/gs3. Scale bars = 1 cm. (L) Scanning electron microscope images of the transverse section of WT, crispr/dep1, and crispr/gs3 starch granule. Scale bars = 100 μm.
Figure 2. Histological analysis of spikelet hulls. (A) Young spikelet hulls of the japonica variety Sasanishiki (WT) and the crispr/dep1 and crispr/gs3 mutants. The red line indicates the position of the cross-section. Scale bar = 3 mm. (B) The cross-section of the spikelet hulls. Scale bar = 200 μm. (C) Scanning electron microscope analysis of the outer surfaces of the glumes. Scale bars = 100 μm. (DJ) The grain length (D), grain width (E), palea cell number (F), lemma cell number (G), palea cell area (H), lemma cell area (I), and cell length in longitude (J) of WT, crispr/dep1, and crispr/gs3. The data are the mean ± s.d. (n = 10 plants), and different letters indicate significant differences at the 5% level. The red, blue and green dots indicate the individual values of WT, crispr/dep1, and crispr/gs3, respectively. (K) The head rice of WT, crispr/dep1, and crispr/gs3. Scale bars = 1 cm. (L) Scanning electron microscope images of the transverse section of WT, crispr/dep1, and crispr/gs3 starch granule. Scale bars = 100 μm.
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Figure 3. The quality traits of the japonica variety Sasanishiki (WT) and the gene-edited mutants. (A–T) The taste value, appearance quality, hardness, stickiness, springiness, chalkiness rice ratio (%), chalkiness level, brown rice ratio (%), milled rice ratio (%), head rice ratio (%), protein content, amylose content, fatty acid, breakdown viscosity, hot paste viscosity, cold paste viscosity, peak time, pasting temperature, peak viscosity, and setback paste viscosity. The data are the mean ± s.d. (n = 10 plants), and different letters indicate significant differences at the 5% level. The red, blue and green dots indicate the individual values of WT, crispr/dep1, and crispr/gs3, respectively.
Figure 3. The quality traits of the japonica variety Sasanishiki (WT) and the gene-edited mutants. (A–T) The taste value, appearance quality, hardness, stickiness, springiness, chalkiness rice ratio (%), chalkiness level, brown rice ratio (%), milled rice ratio (%), head rice ratio (%), protein content, amylose content, fatty acid, breakdown viscosity, hot paste viscosity, cold paste viscosity, peak time, pasting temperature, peak viscosity, and setback paste viscosity. The data are the mean ± s.d. (n = 10 plants), and different letters indicate significant differences at the 5% level. The red, blue and green dots indicate the individual values of WT, crispr/dep1, and crispr/gs3, respectively.
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Figure 4. The yield-related traits of “super rice” variety SN265 and gs3 gene-edited mutants. (A) Schematic diagram of the genomic region and functional domain of SN265 and the CRISPR gene-edited mutants. The sequence alignment of the sgRNA target region shows altered bases in different lines. The arrow indicates the position of the sgRNA (B) The plant architecture of SN265 and the gs3 gene-edited mutants. Bar = 20 cm. (C) The grain size of SN265 and the gs3 gene-edited mutants. Bar = 1 cm. (D) The grain number per panicle of SN265 and the gs3 gene edited mutants. Bar = 1 cm. (E–K) The plant height, panicle number, grain number per panicle, grain shape, 1000—grain weight, setting rate, and grain yield per plant of SN265 and the gs3 gene-edited mutants. The data are the mean ± s.d. (n = 10 plants), and * indicates significant differences at the 5% level. The red, blue and green dots indicate the individual values of WT, crispr/dep1, and crispr/gs3, respectively.
Figure 4. The yield-related traits of “super rice” variety SN265 and gs3 gene-edited mutants. (A) Schematic diagram of the genomic region and functional domain of SN265 and the CRISPR gene-edited mutants. The sequence alignment of the sgRNA target region shows altered bases in different lines. The arrow indicates the position of the sgRNA (B) The plant architecture of SN265 and the gs3 gene-edited mutants. Bar = 20 cm. (C) The grain size of SN265 and the gs3 gene-edited mutants. Bar = 1 cm. (D) The grain number per panicle of SN265 and the gs3 gene edited mutants. Bar = 1 cm. (E–K) The plant height, panicle number, grain number per panicle, grain shape, 1000—grain weight, setting rate, and grain yield per plant of SN265 and the gs3 gene-edited mutants. The data are the mean ± s.d. (n = 10 plants), and * indicates significant differences at the 5% level. The red, blue and green dots indicate the individual values of WT, crispr/dep1, and crispr/gs3, respectively.
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Figure 5. The quality traits of japonica variety SN265 (WT) and the sn265/gs3 gene-edited mutant. (A–T) The taste value, appearance quality, hardness, stickiness, springiness, chalkiness rice ratio (%), chalkiness level, brown rice ratio (%), milled rice ratio (%), head rice ratio (%), protein content, amylose content, fatty acid, breakdown viscosity, hot paste viscosity, cold paste viscosity, peak time, pasting temperature, peak viscosity, and setback paste viscosity. The data are the mean ± s.d. (n = 10 plants), and * indicates significant differences at the 5% level. The blue and red dots indicate the individual values of SN265 and sn265/gs3, respectively.
Figure 5. The quality traits of japonica variety SN265 (WT) and the sn265/gs3 gene-edited mutant. (A–T) The taste value, appearance quality, hardness, stickiness, springiness, chalkiness rice ratio (%), chalkiness level, brown rice ratio (%), milled rice ratio (%), head rice ratio (%), protein content, amylose content, fatty acid, breakdown viscosity, hot paste viscosity, cold paste viscosity, peak time, pasting temperature, peak viscosity, and setback paste viscosity. The data are the mean ± s.d. (n = 10 plants), and * indicates significant differences at the 5% level. The blue and red dots indicate the individual values of SN265 and sn265/gs3, respectively.
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Wu, L.; Wang, X.; Yu, Z.; Cui, X.; Xu, Q. Simultaneous Improvement of Grain Yield and Quality through Manipulating Two Type C G Protein Gamma Subunits in Rice. Int. J. Mol. Sci. 2022, 23, 1463. https://doi.org/10.3390/ijms23031463

AMA Style

Wu L, Wang X, Yu Z, Cui X, Xu Q. Simultaneous Improvement of Grain Yield and Quality through Manipulating Two Type C G Protein Gamma Subunits in Rice. International Journal of Molecular Sciences. 2022; 23(3):1463. https://doi.org/10.3390/ijms23031463

Chicago/Turabian Style

Wu, Lian, Xiaodong Wang, Zhiwen Yu, Xin Cui, and Quan Xu. 2022. "Simultaneous Improvement of Grain Yield and Quality through Manipulating Two Type C G Protein Gamma Subunits in Rice" International Journal of Molecular Sciences 23, no. 3: 1463. https://doi.org/10.3390/ijms23031463

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