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Article

Grain Quality and Starch Physicochemical Properties of Chalky Rice Mutant

by
Chu-Xin Wang
1,
Cheng-Chao Zhu
1,
Chen-Ya Lu
1,
Yong Yang
1,
Qian-Feng Li
1,2,
Qiao-Quan Liu
1,2 and
Chang-Quan Zhang
1,2,*
1
Key Laboratory of Plant Functional Genomics of the Ministry of Education/Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding, College of Agriculture, Yangzhou University, Yangzhou 225009, China
2
Co-Innovation Center for Modern Production Technology of Grain Crops of Jiangsu Province, Joint International Research Laboratory of Agriculture and Agri-Product Safety of the Ministry of Education, Yangzhou University, Yangzhou 225009, China
*
Author to whom correspondence should be addressed.
Agronomy 2021, 11(8), 1575; https://doi.org/10.3390/agronomy11081575
Submission received: 2 July 2021 / Revised: 2 August 2021 / Accepted: 4 August 2021 / Published: 7 August 2021
Browse Figures
Versions Notes

Abstract

:
Rice mutants with altered starch components and properties are important genetic resources for grain quality and starch structure analysis. Accordingly, in the present study, two mutants of the transcription factor OsbZIP09 were generated (osbzip09a and osbzip09b), and the rice grain quality and physicochemical starch properties of the mutant and wild-type lines were compared. The OsbZIP09 mutants exhibit a chalky grain owing to loosely packed, small, spherical starch granules in the ventral region of the endosperm. Furthermore, grain-quality profile analysis showed that OsbZIP09 deficiency leads to increased apparent amylose content but decreased gel consistency. Structural analysis of the mutant starches revealed that the mutant rice lines contain more amylopectin short chains and fewer intermediate chains, leading to lower crystallinity and lower gelatinization properties than those of the wild-type rice. Moreover, the OsbZIP09 mutants rice presented a significantly higher pasting curve and corresponding parameters than the wild-type rice. The results from this work strongly indicate that the transcription factor OsbZIP09 plays an important role in rice grain quality and starch fine structure modification, and extend our understanding of starch biosynthesis in rice endosperm.

1. Introduction

Rice (Oryza sativa L.) is a significant cereal consumed worldwide, mostly in whole grains after cooking. Therefore, rice grain quality is a crucial factor when determining the economic value of a rice crop. In general, rice grain quality is defined in terms of grain physical appearance, softness, aroma, and nutritional profile [1,2]. Rice endosperm is composed mainly of starch, so the granular architecture, fine structure, and physicochemical properties of the starch also play important roles in determining rice grain quality [3,4].
Grain appearance, another crucial aspect of grain quality for consumers, is related to parameters termed chalkiness and transparency [5,6]. Rice chalkiness is a property of the opaque part of the endosperm and is caused by loosely arranged starch granules. Generally, chalky grains present white cores, white bellies, and white backs. Rice transparency is related to the moisture level of the kernel and the cavities within starch granules [6,7]. Accordingly, many studies have considered chalkiness by focusing on the starch synthesis processes [8,9,10]. However, the mechanisms regulating chalk formation and starch biosynthesis in rice seeds are not currently well understood.
Starch, the major component of rice endosperm, is a branched glucose polymer with (1→4)-α linear links and (1→6)-α branch points [11]. It typically comprises two polymeric forms: amylopectin and amylose. Amylopectin is a highly branched large glucan polymer with a high number of short-chain branches, while amylose is a linear polymer with a low number of long-chain branches [12,13]. Generally, amylopectin is arranged in a double-helical structure and forms crystalline layers, while amylose forms a single helical complex with lipid molecules in amorphous layers [14,15]. Starch fine structure is a significant determinant of rice grain quality, and specific physicochemical properties of starch, such as apparent amylose content (AAC), gel consistency (GC), and gelatinization temperature (GT), as well as its pasting properties, are widely established parameters used to evaluate rice eating and cooking quality [16,17].
Numerous enzymes are directly involved in rice starch biosynthesis, including ADPGlc pyrophosphorylase (AGPase), soluble starch synthase (SSS), granule bound starch synthase I (GBSSI), starch branching enzyme (SBE), and starch debranching enzyme (DBE) [17,18,19]. The functions of these enzymes are well understood; however, the network of mechanisms by which starch synthesis is regulated is still a matter of ongoing debate. Recent studies on the regulation of starch biosynthesis have revealed a wide range of related metabolic signaling processes. For example, the transcription factors OsbZIP58, RSR1, OsNAC20, OsNAC26, and NF-YB1-YC12-bHLH144 are all implicated in starch synthesis and endosperm development in rice [20,21,22,23]. Therefore, mutations of the genes encoding these transcription factors change the appearance of the endosperm and alter the characteristics of the starch, affecting rice grain quality. Accordingly, elucidating the structural and compositional causes of variations in the physicochemical properties of starches is crucial if we are to understand the functions of the related genes.
To obtain a more accurate understanding of starch metabolism, the functions of its related genes need to be studied, so that their roles in regulating starch biosynthesis and thus rice grain quality may be determined. Accordingly, both forward and reverse genetics approaches are useful tools for investigating the roles of genes. For instance, in a recent study, we generated two mutant rice lines by editing the gene that encodes the OsbZIP transcription factor OsbZIP09 using the CRISPR/Cas9 system. Our results indicate that this transcription factor is involved in regulation of seed germination through its attenuation of the ABA pathway [24]. Furthermore, it is reasonable to assume that, like other OsbZIPs (e.g., OsbZIP58), OsbZIP09 also plays an import role in regulating grain appearance as well as starch composition and morphology.
The objective of this study was to investigate the effects of OsbZIP09 null mutants on rice grain appearance, and morphological and structural changes in starches. The detailed morphological and physicochemical starch properties of the mutant rice will aid understanding of the role of OsbZIP09 in the regulation of rice grain quality formation.

2. Materials and Methods

2.1. Plant Materials and Growth Conditions

Japonica rice (Oryza sativa L.) cultivar zhonghua 11 (ZH11) was the wild type and its two mutants, osbzip09a and osbzip09b, were obtained by gene editing of two specific target sites in the first exon of OsbZIP09. Sanger sequencing of the CRISPR/Cas9 target sites detected two types of insertion in the OsbZIP09, which are believed to knockout OsbZIP09 by shifting the open reading frame (Supplementary Figure S1). The homozygous T1 mutants osbzip09a and osbzip09b were subjected to detailed phenotypic characterization.
For rice grain quality analyses, the rice lines were planted in the same field at the experimental farm in Yangzhou University, Yangzhou (Jiangsu Province, 32°23′ N) under management conditions during summer months from May to November of 2020. The soil in the experiments was classified as Gleysol and all the rice lines were planted in plots with three replicates. The plot size was 10 cm × 5 cm. Rice seedlings were transplanted with spacing of 20 cm × 10 cm. Nitrogen (220 kg ha−1), phosphorus (40 kg ha−1), and potassium (54 kg ha−1) were applied during the whole growing season. Field management and disease and pest control followed standard procedures to prevent yield loss during the growth period. All the rice seeds were harvested at maturity from 10 plants in the middle of each plot and air dried.

2.2. Sample Preparation

Mature seeds were air dried, dehusked with an SY88-TH rice huller (Shuanglong, Incheon, Korea), and polished using a grain polisher (Kett, Tokyo, Japan). Some of the polished grains were used for grain appearance quality analysis and some were used for flour and starch preparation.
Rice flours were generated using a FOSS 1093 Cyclotec Sample Mill (Tecator, Höganäs, Sweden) with a 0.5 mm sieve. Rice starches were prepared using an alkaline protease method as described by Zhu et al. [25]. The lipids in the starch were removed by washing with CHCl3/methanol (30 mL; 1:1, v/v). Specifically, following incubation at 42 °C in a shaker at 250 rpm for 3 h, the resulting starch slurry was centrifuged at 3000× g for 10 min. The starch sediment was then washed with 85% ethanol five times prior to drying in a convection oven at 37 °C for 48 h.

2.3. Scanning Electron Microscopy

Rice grains from ZH11 and the two mutants were randomly selected for direct camera imaging or scanning electron microscopy (SEM) analysis. In brief, grains were broken naturally and the cross-sections were observed by SEM (Philips XL-30), as described previously [26]. To observe the isolated starch, a ~5-mg sample was dispersed in 200 µL ethanol and vortexed. The starch slurry was pipetted onto a specimen holder and held for 15 min at room temperature. The dried samples were coated with gold using a sputter coater (Leica EM SCD500, Wetzlar, Germany) and examined using field emission scanning electron microscopy (FE-SEM, S-4800II, Hitachi, Tokyo, Japan). The starch granular size distributions were calculated from analysis of 500 complete starch granules based on the SEM images and plotted using Image J software (http://rsbweb.nih.gov/ij (accessed on 10 March 2021)).

2.4. Analysis of Rice Grain Quality

To evaluate grain appearance, an appearance detection analyzer (MRS-9600TFU2L, MICROTEK, Hangzhou, China) was used to determine chalky rice rate (CR) and chalkiness degree (CD). Specifically, 100 head rice grains were selected at random per entry and assessed using the appearance detection analyzer. The above measurements were repeated in triplicate. Crude protein content (PC) was calculated from the nitrogen content of the corresponding rice flour using a Kjeltec2300 nitrogen determination instrument (Foss Tecator, Hoganas, Sweden). The nitrogen content was converted to protein content by multiplying by a coefficient of 5.95. The total starch content (TSC) of the rice flours was determined using a total starch assay kit (K-TSTA, Megazyme; Wicklow, Ireland). The apparent amylose content (AAC), gel consistency (GC), and crude protein content values of the rice flours were determined as described by Zhang et al. [26]. The pasting properties of the rice flours and starches were subjected to rapid viscosity analysis (RVA) (Techmaster, Newport Scientific, Warriewood, Australia) according to Zhu et al. [25]. The parameters determined using RVA were peak viscosity (PKV), hot paste viscosity (HPV), cool paste viscosity (CPV), breakdown viscosity (BDV), setback viscosity (SBV), peak time (Ptime), and pasting temperature (PT).

2.5. Measurement of Thermal Properties

Gelatinization properties were investigated using a DSC 200 F3 differential scanning calorimetry (DSC) apparatus (Netzsch Instruments NA LLC, Burlington, MA, USA) as described previously [26]. Briefly, 5 mg starch was weighed accurately into an aluminum pan and 15 μL deionized water was added. Samples were stored overnight at 4 °C and then at room temperature for 1 h before testing. Gelatinization was determined by heating the pan in the calorimeter from 20 to 120 °C at a rate of 10 °C min−1. The DSC parameters determined were onset temperature (To), peak temperature (Tp), conclusion temperature (Tc), and enthalpy change of gelatinization (ΔH).

2.6. Starch Fine Structure Measurement

The starch samples were debranched with isoamylase (EC 3.2.1.68, E-ISAMY; Megazyme, Bray, Ireland) and then analyzed using a high-performance anion-exchange chromatography (HPAEC) system (Thermo ICS-5000, Thermo Corp, Sunnyvale, CA, USA) equipped with a pulsed amperometric detector, a guard column, a CarboPac™ PA200 analytical column, and an AS-DV autosampler according to previously published procedures for measuring the degree of polymerization (DP) of amylopectin [26].

2.7. Starch Crystalline Structure Analysis

To determine the supramolecular structures of the rice starches, a D8 ADVANCE type X-ray diffractometer (D8, Bruker, Germany) was used to perform powder X-ray diffraction (XRD) analyses as described previously [27]. Relative crystallinity (RC) was determined from the relationship Ic/(Ia + Ic), where Ia is the proportion of non-crystalline area and Ic is the proportion of crystalline area in the diffraction profile. Additionally, short-range molecular order near starch grain surfaces was investigated using attenuated total reflectance-Fourier transform infrared spectroscopy (ATR-FTIR) (Perkin-Elmer Inc., Wellesley, MA, USA), as described previously [26]. In detail, spectra were corrected by a baseline in the region from 1200 to 800 cm−1 before deconvolution by using Resolutions Pro FTIR software. Absorbance values for peaks at 1047 and 1022 cm−1 were extracted from the spectra after correction, and the intensity 1047/1022 ratio was calculated to express the amount of ordered crystalline regions to amorphous regions near the surface of the starch granules. The above experiments were performed in duplicate.

2.8. Statistical Analysis

For sample characterization, three replicate measurements were performed (unless otherwise specified). All data represent mean values with standard deviations (mean ± SD). Data were subjected to one-way analysis of variance (ANOVA) analysis using the SPSS 16.0 statistical software program. p < 0.05 was considered statistically significant.

3. Results and Discussion

3.1. Analysis of Grain Quality Profiles

First, the effects of the OsbZIP09 mutations on the appearance characteristics of milled grains were investigated. Overall, the appearance quality is significantly poorer for the OsbZIP09 mutant lines. As shown in Figure 1, rice grains from both the osbzip09a and osbzip09b lines exhibit pronounced chalkiness, and both the osbzip09a and osbzip09b mutants have significantly higher CR values (over 65%) than that of the wild-type ZH11 (Table 1). These results indicate that, as expected, the components of the rice endosperm are affected by OsbZIP09 mutation. Next, the major components and physicochemical characteristics of milled rice flours were measured and compared. As shown in Table 1, rice flours milled from osbzip09a and osbzip09b grains exhibit significantly increased AACs and lower GC than those of the wild-type ZH11 rice, which is consistent with the widely accepted idea that GC is negatively correlated with AAC in rice [7,16,28]. However, the PCs and TSCs of the three samples are not significantly different. There is extensive evidence demonstrating that AAC and GC are key physicochemical properties for rice sensory quality [16,17]. Therefore, the above data indicate that OsbZIP09 mutation greatly affects rice eating quality.
Grain chalkiness is one of the most important factors affecting rice appearance, milling, and eating quality [29,30]. Indeed, grain chalkiness can be used as an indicator of abnormal endospermic starch synthesis. In addition to mutations of genes directly involved in starch biosynthesis, mutations in genes that code transcription factors involved in starch biosynthesis also affect endosperm development. For example, the mutation of RSR1 and OsbZIP58 both lead to marked grain chalkiness as a result of abnormal endosperm development [20,21]. Interestingly, OsbZIP58 was also reported to inhibited the expression of some starch-hydrolyzing α-amylase genes, which were considered as important positive effectors of rice seed germination [31]. In fact, our previous studies have shown that OsbZIP09 functions as a brake of the ABA pathway to attenuate the inhibitory effect of ABA on rice seed germination via dual strategies [24,32]. Additionally, we found that OsbZIP09 had no observable effect on rice agronomic traits such as plant height, heading date, and 1000-grain weight [32]. Thus, the above results suggest that OsbZIP09 plays an import role in rice endosperm development and thus modulates starch metabolism and starch-related phenotyping.

3.2. Analysis of Starch Granular Structure

To investigate the differences in rice grain transparency and chalkiness, SEM was employed to observe the starch structures of the OsbZIP09 mutant and wild-type lines under similar moisture-content conditions. As indicated by the SEM micrographs of mature-grain transverse sections in Figure 1C–K, all the starch granules in the transverse sections of the non-chalky region are packed together tightly and have polyhedral shapes and smooth surfaces (Figure 1D,G,J). However, the starch granules in the chalky region of OsbZIP09 mutation grains show irregular shapes and loosely packed starch granules with large air spaces. To investigate the effects of OsbZIP09 mutation on starch accumulation, isolated starch samples were then subjected to SEM analysis. As shown in Figure 2A–C, starch granules from the wild-type rice have regular shapes with smooth surfaces, which is consistent with the results for the transverse sections. However, the rice starches from the mutant lines comprise more small round granules, and some of the starch granules have surface holes.
Then, the starch granule size distributions were calculated based on the SEM images, revealing that the starches from both the osbzip09a and osbzip09b mutants exhibit a remarkable decrease in starch granule size compared with that of the wild-type ZH11 (Figure 2D). Moreover, there is a significant difference in the average particle size, and the mutant rice lines show significantly more decreased average granule diameters than the wild type. Similarly, studies of several chalky rice mutants have demonstrated that starch granular morphology is significantly affected in the chalky region of the endosperm, and that granular size is typically decreased in the mutant rice grains [21,22]. Our analyses further demonstrate that OsbZIP09 mutation alters starch accumulation.

3.3. Starch Fine Structure Analysis

To determine putative changes in starch fine structure of the mutant rice, the chain-length distribution of the amylopectin therein was investigated by HPAEC. According to the classical amylopectin cluster model [33], amylopectin chains can be grouped into A chains (DP 6–12), B1 chains (DP 13–24), B2 chains (DP 25–36), and B3+ chains (DP ≥ 37). As shown in Figure 3A, there are significant differences between the polymerization profiles of the amylopectin in the mutants and the control cultivar ZH11. Specifically, compared with the control rice, the proportions of chains with DPs in the range 6–12 are significantly increased, whereas the proportions of chains with DPs in the range 13–24 are markedly decreased in both OsbZIP09a and OsbZIP09b rice starches (Figure 3B, and Supplementary Table S1). These results are similar to those of previous studies, where OsbZIP58 mutants were observed to generate more short amylopectin chains with DP 6–12 and fewer intermediate chains with DP 13–21 [21]. The above results indicate that the alteration of amylopectin chain-length distribution is caused by OsbZIP09 mutation.
Thus, the altered composition and structure of the starch indicates that the transcription factor OsbZIP09 modulates not only amylose but also amylopectin synthesis, especially the α-1,4 chain elongation of amylopectin, which involves several concerted reactions catalyzed by distinct starch synthesis enzymes, such as soluble starch synthase I (SSI) and soluble starch synthase IIa (SSIIa). It is well known that SSI works to extend the amylopectin short chains to those with DPs of 8 to 12, generating short A chains [34,35], whereas SSIIa is involved in the synthesis of intermediate B1 chains with DPs ranging from 12 to 24 [36]. In fact, the regulatory network involved in starch metabolism is complex, redundant, and compartmentalized at the subcellular level, and is responsive to both internal hormones and the external environment [37]. For example, RSR1 was found to negatively regulate the expression of type I starch synthesis genes, and RSR1 deficiency results in the enhanced expression of starch synthesis genes in seeds [20]. Considering that many transcription factors, e.g., OsbZIP33 and OsbZIP58, regulate the expression of starch synthesis genes [21,31,38], we propose that OsbZIP09 also plays an important role in starch synthesis regulation. However, confirming this hypothesis will require further study.

3.4. Comparison of Rice Starch Pasting Properties

Pasting properties are important parameters in the evaluation of rice grain quality, as they can be used to predict the texture of the corresponding cooked rice [39]. As shown in Figure 4A, rice starches from both osbzip09a and osbzip09b rice exhibit significantly higher RVA curves than the wild-type ZH11. In terms of RVA parameters, the PKV, HPV, BDV, and CPV values of starch from the mutant rice strains are all significantly higher than those of the ZH11 rice starch (Supplementary Table S2). However, there are no significant differences in SBV, Ptime, and PT.
Previous studies have found that many factors, such as starch granule size and starch fine structure, affect pasting profiles [40,41]. Generally, rice starch comprising large starch granules will exhibit higher viscosity [40]. However, in the current study, contrary to the starch size-distribution data, the samples with relatively small starch granules exhibit high RVA curves, indicating that starch fine structure plays an important role in determining starch pasting profiles. Indeed, studies on the mutation of certain starch-biosynthesis-related genes have shown that changes in starch fine structure can lead to dramatic changes in starch pasting profile [42,43]. There is convincing evidence that the pasting properties of starches are related to the internal molecular structure of the amylopectin therein, and that the number of B1 chains is negatively correlated with PKV, HPV, BDV, and CPV [14,41]. Furthermore, related studies have revealed that the small amylopectin molecules within starch granules are more easily leached from the granule and thus increase viscosity [44]. Taken together, the higher number of amylopectin short chains (DP 6–12) as well as the reduced intermediate chains (DP 13–24) will cause more leached amylopectin during RVA measurement, thereby causing higher viscosity.

3.5. Thermal Properties of Starch

Gelatinization involves the uncoiling and melting of the ordered starch structure, which is mainly formed by amylopectin [45]. Accordingly, in order to determine the effects of OsbZIP09 mutation on starch gelatinization profiles, DSC was employed. The DSC parameters are presented in Table 2. As shown in Figure 4B, both osbzip09a and osbzip09b rice starches exhibit a slight shift of endothermic peak, which indicates that the mutant rice lines have lower gelatinization temperatures than the wild type. We found that starches from the two mutants exhibit significantly lower gelatinization parameters, including To, Tp, Tc, and ΔH, compared with that from ZH11. Similarly, it has been previously reported that deficiency of certain starch-synthesis-regulation genes, e.g., RSR1 and NF-YB1, can lead to a lower gelatinization temperature and significantly lower gelatinization parameters [20,22].
It is well accepted that gelatinization is predominantly influenced by amylopectin branch chain-length distribution, exhibiting a positive correlation with the number of amylopectin long chains [15,45]. It also has been reported that the presence of short amylopectin chains (DP 6–12) lowers GT, whereas high levels of long amylopectin chains (e.g., DP 13–24) can increase GT [14,45]. As a result, the enrichment of amylopectin short chains (DP 6–12) in OsbZIP09 mutant rice starch causes the reduction in starch gelatinization properties observed here. In addition, the gelatinization parameters reflect the proportion of crystallites associated with the molecular order. Additionally, the endothermic peak in the DSC profile reflects the loss of double helices in amylopectin, and the total energy reflects the crystalline structure or molecular order [15]. The lower gelatinization enthalpy (ΔH) of osbzip09a and osbzip09b rice starches implies that less energy is required to melt the starch crystallinity in the OsbZIP09 mutant relative to the wild type, which mainly depends on the fine structure of amylopectin. These results further demonstrate that the OsbZIP09 deficiency contributes to a lowering of gelatinization properties compared to the wild type.

3.6. Starch Crystalline Structure

The long-range ordering of the starch structure was investigated using XRD. As shown in Figure 5A, the three samples show similar XRD patterns, with strong diffraction peaks around 2θ = 15°, 17°, 18°, 20°, and 23°, which represents an A-type diffraction pattern typical of most normal cereal starches [27,45]. However, the RCs calculated from the XRD patterns differ between the three starch samples (Table 2). Starches from the osbzip09a and osbzip09b lines have significantly lower RCs than that from ZH11 rice (Table 2), which explains why the mutant rice starches have low gelatinization profiles; in short, the lower ΔH as determined by DSC is due to the endothermic transition upon loss of crystallites, which are mainly formed by ordered amylopectin structures [46]. Amylopectin is generally considered to be responsible for starch crystallinity, while amylose disrupts the crystalline packing of amylopectin [46]. It has been reported that the crystallinity degree was decreased with an increase in amylose content [7]. Thus, the enrichment of amylose content in OsbZIP09 mutant rice might be an important cause of the lower RCs. In addition, it is evident that internal chain segments of amylopectin molecules influence starch crystalline properties [15]. It is thought that the minimum starch chain length required to form double helices is 10 monomeric units [47], and amylopectin short-branch chains decrease packing efficiency in the starch, lowering crystallinity and thus decreasing the gelatinization temperature [15,45]. Accordingly, the increased abundance of short amylopectin chains (DP 6–12) and decreased abundance of intermediate chains (DP 13–24) in the OsbZIP09 mutant rice is the main reason for the reduced crystallinity of the starch.
In order to investigate the effects of OsbZIP09 mutation on short-range starch structure (helical order) near granule surfaces, ATR-FTIR was performed. The signal intensity ratio for the absorbances at 1047 and 1022 cm−1 provides information on the relative amounts of ordered starch and amorphous starch [48]. As shown in Figure 5B, all starch samples exhibit similar FTIR spectra. However, the starches from the osbzip09a and osbzip09b rice exhibit significantly lower 1047/1022 cm−1 ratios than the wild-type ZH11, which is consistent with the XRD data (Table 2). Similar results have been reported for other rice starches, and ordered structure at the short-range level is a prerequisite for the presence of long-range order [27]. Studies have shown that in normal cereal starches, a low number of amylopectin short chains (DP 6–10) can form single helices rather than double helices [14,49]. Because the 1045/1022 ratio mainly reflects the double helix content in starch, the lower helical order of the mutant starch is probably caused by the enrichment of amylopectin short chains.

4. Conclusions

OsbZIP transcription factors are key components in the ABA signaling pathway to mediate its regulation of downstream target genes and consequently ABA-triggered plant responses, including suppressing seed germination, enhancing plants’ tolerance to stress [13]. Our previous studies have shown that OsbZIP09 is involved in the regulation of rice seed germination through its attenuation of the ABA pathway [32]. However, knowledge about the effects of OsbZIP09 mutation on rice grain quality and starch physicochemical properties is currently limited. The present investigation utilized two OsbZIP09 mutant rice lines, osbzip09a and osbzip09b, to explore the roles of this gene in determining rice grain quality and starch structure. We have confirmed that OsbZIP09 mutation leads to highly chalky rice grains that exhibit loosely packed, spherical starch granules in the ventral region of the endosperm. OsbZIP09 mutation also leads to a lower average starch granule diameter in the endosperm. Importantly, the structural starch features determined using HPAEC revealed that the mutant rice lines contain more amylopectin short chains and fewer intermediate chains, leading to lower crystallinity than that of the wild-type rice. Furthermore, analysis of the pasting and thermal properties of the rice starches revealed that both the RVA and DSC characteristics are influenced significantly by the mutation of OsbZIP09, which might be attributed to the changes in the starch fine structure. These results strongly indicate that the transcription factor OsbZIP09 also plays an important role in rice starch synthesis in the endosperm.

Supplementary Materials

The following are available online at https://www.mdpi.com/article/10.3390/agronomy11081575/s1, Figure S1: Schematic of the mutation sites in the OsbZIP09 gene (A) and the phenotype of rice seeds (B,C), Table S1: Amylopectin chain distributions in different fractions of endosperm starch from different rice lines, Table S2: Pasting properties of starches from different rice lines.

Author Contributions

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

Funding

This research was funded by National Training Programs of Innovation and Entrepreneurship for Undergraduates, Programs of the Jiangsu Government (BE2020318-1, CX(20)3004, and PAPD), and the Yangzhou University high-end talent program.

Data Availability Statement

The datasets generated for this study are available upon request from the corresponding author.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Fitzgerald, M.A.; McCouch, S.R.; Hall, R.D. Not just a grain of rice: The quest for quality. Trends Plant Sci. 2009, 14, 133–1339. [Google Scholar] [CrossRef] [PubMed]
  2. Custodio, M.C.; Cuevas, R.P.; Ynion, J.; Laborte, A.G.; Velasco, M.L.; Demont, M. Rice quality: How is it defined by consumers, industry, food scientists, and geneticists? Trends Food Sci. Technol. 2019, 92, 122–137. [Google Scholar] [CrossRef]
  3. Li, H.Y.; Gilbert, R.G. Starch molecular structure: The basis for an improved understanding of cooked rice texture. Carbohydr. Polym. 2018, 195, 9–17. [Google Scholar] [CrossRef] [PubMed]
  4. Butardo, V.M., Jr.; Sreenivasulu, N.; Juliano, B.O. Improving rice grain quality: State-of-the-art and future prospects. Methods Mol. Biol. 2019, 1892, 19–55. [Google Scholar]
  5. Patindol, J.; Wang, Y. J. Fine structures and physicochemical properties of starches from chalky and translucent rice kernels. J. Agric. Food Chem. 2003, 51, 2777–2784. [Google Scholar] [CrossRef] [PubMed]
  6. Zhang, L.; Zhao, L.; Zhang, J.; Cai, X.L.; Liu, Q.Q.; Wei, C.X. Relationships between transparency, amylose content, starch cavity, and moisture of brown rice kernels. J. Cereal Sci. 2019, 90, 102854. [Google Scholar] [CrossRef]
  7. Zhang, C.Q.; Chen, S.J.; Ren, X.Y.; Lu, Y.; Liu, D.R.; Cai, X.L.; Li, Q.F.; Gao, J.P.; Liu, Q.Q. Molecular Structure and physicochemical properties of starches from rice with different amylose contents resulting from modification of OsGBSSI activity. J. Agric. Food Chem. 2017, 65, 2222–2232. [Google Scholar] [CrossRef]
  8. Yamakawa, H.; Hirose, T.; Kuroda, M.; Yamaguchi, T. Comprehensive expression profiling of rice grain filling-related genes under high temperature using DNA microarray. Plant Physiol. 2007, 144, 258–277. [Google Scholar] [CrossRef] [Green Version]
  9. Liu, X.L.; Guo, T.; Wan, X.Y.; Wang, H.Y.; Zhu, M.Z.; Li, A.L.; Su, N.; Shen, Y.Y.; Mao, B.G.; Zhai, H.Q.; et al. Transcriptome analysis of grain-filling caryopses reveals involvement of multiple regulatory pathways in chalky grain formation in rice. BMC Genom. 2010, 11, 730. [Google Scholar] [CrossRef] [Green Version]
  10. Yamaguchi, T.; Yamakawa, H.; Nakata, M.; Kuroda, M.; Hakata, M. Suppression of phospholipase D genes improves chalky grain production by high temperature during the grain-filling stage in rice. Biosci. Biotechnol. Biochem. 2019, 83, 1102–1110. [Google Scholar] [CrossRef]
  11. Tester, R.F.; Karkalas, J.; Qi, X. Starch-composition, fine structure and architecture. J. Cereal Sci. 2004, 39, 151–165. [Google Scholar] [CrossRef]
  12. Jeon, J.S.; Ryoo, N.; Hahn, T.R.; Walia, H.; Nakamura, Y. Starch biosynthesis in cereal endosperm. Plant Physiol. Biochem. 2010, 48, 383–392. [Google Scholar] [CrossRef]
  13. Zhu, J.H.; Yu, W.W.; Zhang, C.Q.; Zhu, Y.J.; Xu, J.L.; Li, E.P.; Gilbert, R.G.; Liu, Q.Q. New insights into amylose and amylopectin biosynthesis in rice endosperm. Carbohydr. Polym. 2020, 230, 115656. [Google Scholar] [CrossRef] [PubMed]
  14. Zhu, F. Relationships between amylopectin internal molecular structure and physicochemical properties of starch. Trends Food Sci. Tech. 2018, 78, 234–242. [Google Scholar] [CrossRef]
  15. Li, C.; Wu, A.; Yu, W.W.; Hu, Y.M.; Li, E.P.; Zhang, C.Q.; Liu, Q.Q. Parameterizing starch chain-length distributions for structure-property relations. Carbohydr. Polym. 2020, 241, 116390. [Google Scholar] [CrossRef] [PubMed]
  16. Tian, Z.X.; Qian, Q.; Liu, Q.Q.; Yan, M.X.; Liu, X.F.; Yan, C.J.; Liu, G.F.; Gao, Z.Y.; Tang, S.Z.; Zeng, D.L.; et al. Allelic diversities in rice starch biosynthesis lead to a diverse array of rice eating and cooking qualities. Proc. Natl. Acad. Sci. USA 2009, 106, 21760–21765. [Google Scholar] [CrossRef] [Green Version]
  17. Zhou, H.; Xia, D.; He, Y.Q. Rice grain quality—Traditional traits for high quality rice and health-plus substances. Mol. Breed. 2020, 40, 1–17. [Google Scholar] [CrossRef]
  18. Pandey, M.K.; Rani, N.S.; Madhav, M.S.; Sundaram, R.M.; Varaprasad, G.S.; Sivaranjani, A.K.; Bohra, A.; Kumar, G.R.; Kumar, A. Different isoforms of starch-synthesizing enzymes controlling amylose and amylopectin content in rice (Oryza sativa L.). Biotechnol. Adv. 2012, 30, 1697–1706. [Google Scholar] [CrossRef] [Green Version]
  19. Toyosawa, Y.; Kawagoe, Y.; Matsushima, R.; Crofts, N.; Ogawa, M.; Fukuda, M.; Kumamaru, T.; Okazaki, Y.; Kusano, M.; Saito, K.; et al. Deficiency of starch synthase IIIa and IVb alters starch granule morphology from polyhedral to spherical in rice endosperm. Plant Physiol. 2016, 170, 1255–1270. [Google Scholar] [CrossRef] [Green Version]
  20. Fu, F.F.; Xue, H.W. Coexpression analysis identifies Rice Starch Regulator1, a rice AP2/EREBP family transcription factor, as a novel rice starch biosynthesis regulator. Plant Physiol. 2010, 154, 927–938. [Google Scholar] [CrossRef]
  21. Wang, J.C.; Xu, H.; Zhu, Y.; Liu, Q.Q.; Cai, X.L. OsbZIP58, a basic leucine zipper transcription factor, regulates starch biosynthesis in rice endosperm. J. Exp. Bot. 2013, 64, 3453–3466. [Google Scholar] [CrossRef]
  22. Bello, B.K.; Hou, Y.; Zhao, J.; Jiao, G.; Wu, Y.; Li, Z.; Wang, Y.; Tong, X.; Wang, W.; Yuan, W.; et al. NF-YB1-YC12-bHLH144 complex directly activates Wx to regulate grain quality in rice (Oryza sativa L.). Plant Biotechnol. J. 2019, 17, 1222–1235. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  23. Wang, J.; Chen, Z.C.; Zhang, Q.; Meng, S.S.; Wei, C.X. The NAC Transcription factors OsNAC20 and OsNAC26 regulate starch and storage protein synthesis. Plant Physiol. 2020, 184, 1775–1791. [Google Scholar] [CrossRef] [PubMed]
  24. Zhu, C.C.; Wang, C.X.; Lu, C.Y.; Wang, J.D.; Zhou, Y.; Xiong, M.; Zhang, C.Q.; Liu, Q.Q.; Li, Q.F. Genome-wide identification and expression analysis of OsbZIP09 target genes in rice reveal its mechanism of controlling seed germination. Int. J. Mol. Sci. 2021, 22, 1661. [Google Scholar] [CrossRef]
  25. Zhu, L.J.; Liu, Q.Q.; Sang Y., J.; Gu, M.H.; Shi, Y.C. Underlying reasons for waxy rice flours having different pasting properties. Food Chem. 2010, 120, 94–100. [Google Scholar] [CrossRef]
  26. Zhang, C.Q.; Zhou, L.H.; Zhu, Z.B.; Lu, H.W.; Zhou, X.Z.; Qian, Y.T.; Li, Q.F.; Lu, Y.; Gu, M.H.; Liu, Q.Q. Characterization of grain quality and starch fine structure of two japonica rice (Oryza sativa) cultivars with good sensory properties at different temperatures during the filling stage. J. Agric. Food Chem. 2016, 64, 4048–4057. [Google Scholar] [CrossRef]
  27. Cai, J.W.; Man, J.M.; Huang, J.; Liu, Q.Q.; Wei, W.X.; Wei, C.X. Relationship between structure and functional properties of normal rice starches with different amylose contents. Carbohydr. Polym. 2015, 125, 35–44. [Google Scholar] [CrossRef]
  28. Su, Y.; Rao, Y.C.; Hu, S.K.; Yang, Y.L.; Gao, Z.Y.; Zhang, G.H.; Liu, J.; Hu, J.; Yan, M.X.; Dong, G.J.; et al. Map-based cloning proves qGC-6, a major QTL for gel consistency of japonica/indica cross, responds by Waxy in rice (Oryza sativa L.). Theor. Appl. Genet. 2011, 123, 859–867. [Google Scholar] [CrossRef] [PubMed]
  29. Cheng, F.M.; Zhong, L.J.; Wang, F.; Zhang, G.P. Differences in cooking and eating properties between chalky and translucent parts in rice grains. Food Chem. 2005, 90, 39–46. [Google Scholar] [CrossRef]
  30. Zhu, A.K.; Zhang, Y.X.; Zhang, Z.H.; Wang, B.F.; Xue, P.; Cao, Y.R.; Chen, Y.Y.; Li, Z.H.; Liu, Q.N.; Cheng, S.H.; et al. Genetic dissection of qPCG1 for a quantitative trait locus for percentage of chalky grain in rice (Oryza sativa L.). Front Plant Sci. 2018, 9, 1173. [Google Scholar] [CrossRef]
  31. Xu, H.; Li, X.F.; Zhang, H.; Wang, L.C.; Zhu, Z.G.; Gao, J.P.; Li, C.S.; Zhu, Y. High temperature inhibits the accumulation of storage materials by inducing alternative splicing of OsbZIP58 during filling stage in rice. Plant Cell Environ. 2020, 43, 1879–1896. [Google Scholar] [CrossRef]
  32. Wang, C.X.; Zhu, C.C.; Zhou, Y.; Xiong, M.; Wang, J.D.; Bai, H.; Lu, C.Y.; Zhang, C.Q.; Liu, Q.Q.; Li, Q.F. OsbZIP09, a unique osbzip transcription factor of rice, promotes rather than suppresses seed germination by attenuating abscisic acid pathway. Rice Sci. 2021, 28, 358–367. [Google Scholar]
  33. Hanashiro, I.; Abe, J.; Hizukuri, S. A periodic distribution of the chain length of amylopectin as revealed by high performance anion exchange chromatography. Carbohyd. Res. 1996, 283, 151–159. [Google Scholar] [CrossRef]
  34. Nishi, A.; Nakamura, Y.; Tanaka, N.; Satoh, H. Biochemical and genetic analysis of the effects of amylose-extender mutation in rice endosperm. Plant Physiol. 2001, 127, 459–472. [Google Scholar] [CrossRef]
  35. Fujita, N.; Yoshida, M.; Asakura, N.; Ohdan, T.; Miyao, A.; Hirochika, H.; Nakamura, Y. Function and characterization of starch synthase I using mutants in rice. Plant Physiol. 2006, 140, 1070–1084. [Google Scholar] [CrossRef] [Green Version]
  36. Nakamura, Y.; Francisco, P.B., Jr.; Hosaka, Y.; Sato, A.; Sawada, T.; Kubo, A.; Fujita, N. Essential amino acids of starch synthase IIa differentiate amylopectin structure and starch quality between japonica and indica rice varieties. Plant Mol. Biol. 2005, 58, 213–227. [Google Scholar] [CrossRef] [PubMed]
  37. López-González, C.; Juárez-Colunga, S.; Morales-Elías, N.C.; Tiessen, A. Exploring regulatory networks in plants: Transcription factors of starch metabolism. Peer J. 2019, 7, e6841. [Google Scholar] [CrossRef]
  38. Cai, Y.; Xie, D.L.; Wang, Z.Y.; Hong, M.M. Interaction of rice bZIP protein REB with the 5′-upstream region of both rice sbe1 gene and waxy gene. Chin. Sci. Bull. 2002, 47, 310–314. [Google Scholar] [CrossRef]
  39. Xu, Y.J.; Ying, Y.N.; Ouyang, S.H.; Duan, X.L.; Sun, H.; Jiang, S.K.; Sun, S.C.; Bao, J.S. Factors affecting sensory quality of cooked japonica rice. Rice Sci. 2018, 25, 330–339. [Google Scholar]
  40. Noosuk, P.; Hill, S.E.; Pradipasena, P.; Mitchell, J.R. Structure-viscosity relationships for Thai rice starches. Starch/Starke 2003, 55, 337–344. [Google Scholar] [CrossRef]
  41. Li, H.Y.; Lei, N.Y.; Yan, S.; Yang, J.Y.; Yu, T.; Wen, Y.Y.; Wang, J.; Sun, B.G. The importance of amylopectin molecular size in determining the viscoelasticity of rice starch gels. Carbohydr. Polym. 2019, 212, 112–118. [Google Scholar] [CrossRef] [PubMed]
  42. Luo, J.X.; Jobling, S.A.; Millar, A.; Morell, M.K.; Li, Z.Y. Allelic effects on starch structure and properties of six starch biosynthetic genes in a rice recombinant inbred line population. Rice 2015, 8, 15. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  43. Zhang, C.Q.; Zhou, J.H.; Chen, S.J.; Fan, X.L.; Li, Q.F.; Lu, Y.; Wang, M.; Yu, H.X.; Yi, C.D.; Tang, S.Z.; et al. Wxlv, the ancestral allele of rice waxy gene. Mol. Plant 2019, 12, 1157–1166. [Google Scholar] [CrossRef] [Green Version]
  44. Li, H.Y.; Wen, Y.Y.; Wang, J.; Sun, B.G. The molecular structures of leached starch during rice cooking are controlled by thermodynamic effects, rather than kinetic effects. Food Hydrocolloid. 2017, 73, 295–299. [Google Scholar] [CrossRef]
  45. Vandeputte, G.E.; Vermeylen, R.; Geeroms, J.; Delcour, J.A. Rice starches. I. Structural aspects provide insight into crystallinity characteristics and gelatinization behaviour of granular starch. J. Cereal Sci. 2003, 38, 43–52. [Google Scholar] [CrossRef]
  46. Blazek, J.M.; Gilbert, E.P. Application of small-angle X-ray and neutron scattering techniques to the characterisation of starch structure: A review. Carbohydr. Polym. 2011, 85, 281–293. [Google Scholar] [CrossRef]
  47. Gidley, M.J.; Bulpin, P.V. Crystallisation of malto-oligosaccharides as models of the crystalline forms of starch: Minimum chain-length requirement for the formation of double helices. Carbohydr. Polym. 1987, 161, 291–300. [Google Scholar] [CrossRef]
  48. Sevenou, O.; Hill, S.E.; Farhat, I.A.; Mitchell, J.R. Organisation of the external region of the starch granule as determined by infrared spectroscopy. Int. J. Biol. Macromol. 2002, 31, 79–85. [Google Scholar] [CrossRef]
  49. Tan, I.; Flanagan, B.M.; Halley, P.J.; Whittaker, A.K.; Gidley, M.J. A method for estimating the nature and relative proportions of amorphous, single, and double-helical components in starch granules by (13)C CP/MAS NMR. Biomacromolecules 2007, 8, 885–891. [Google Scholar] [CrossRef]
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Figure 1. Grain appearance and SEM images of rice endosperm cross-sections. (A,B) represent milled rice grain appearance; (C–K) represent ZH11, osbzip09a, and osbzip09b, respectively; (D,G,J) represent the SEM micrographs of the transparent region of a rice endosperm; (E,H,K) represent the SEM micrographs of the chalky region of rice endosperm.
Figure 1. Grain appearance and SEM images of rice endosperm cross-sections. (A,B) represent milled rice grain appearance; (C–K) represent ZH11, osbzip09a, and osbzip09b, respectively; (D,G,J) represent the SEM micrographs of the transparent region of a rice endosperm; (E,H,K) represent the SEM micrographs of the chalky region of rice endosperm.
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Figure 2. SEM images of starch and the corresponding starch granule size distribution. (A–C) represent SEM micrographs of purified starches from ZH11, osbzip09a, and osbzip09b, respectively; (D) shows the size distributions of the purified starches (n = 500).
Figure 2. SEM images of starch and the corresponding starch granule size distribution. (A–C) represent SEM micrographs of purified starches from ZH11, osbzip09a, and osbzip09b, respectively; (D) shows the size distributions of the purified starches (n = 500).
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Figure 3. Chain-length distribution of starch from different rice lines. (A) indicates the distribution of polyglucans from the endosperm of ZH11 and its mutant lines osbzip09a and osbzip09b; (B) represents the differences in the chain-length distributions between wild-type ZH11 and the mutant lines osbzip09a and osbzip09b.
Figure 3. Chain-length distribution of starch from different rice lines. (A) indicates the distribution of polyglucans from the endosperm of ZH11 and its mutant lines osbzip09a and osbzip09b; (B) represents the differences in the chain-length distributions between wild-type ZH11 and the mutant lines osbzip09a and osbzip09b.
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Figure 4. Pasting and thermal properties of endosperm starch from different rice lines. (A) shows the starch RVA curve; (B) shows the endothermic curves of the starches as determined by DSC.
Figure 4. Pasting and thermal properties of endosperm starch from different rice lines. (A) shows the starch RVA curve; (B) shows the endothermic curves of the starches as determined by DSC.
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Figure 5. XRD patterns (A) and ATR-FTIR spectra (B) of rice starches from ZH11 and its mutant lines osbzip09a and osbzip09b.
Figure 5. XRD patterns (A) and ATR-FTIR spectra (B) of rice starches from ZH11 and its mutant lines osbzip09a and osbzip09b.
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Table
Table 1. Physicochemical characteristics and cooking properties of milled rice A.
Table 1. Physicochemical characteristics and cooking properties of milled rice A.
LinesCR (%)CD (%)AAC (%)GC (%)PC (%)TSC (%)
ZH1118.86 ± 3.14 b31.24 ± 4.53 b15.01 ± 0.22 b85.31 ± 6.13 a7.02 ± 0.31 a87.18 ± 0.74 a
osbizip09a68.63 ± 5.67 a69.58 ± 8.11 a17.64 ± 0.36 a72.26 ± 5.75 b7.36 ± 0.24 a86.12 ± 0.81 a
osbizip09b65.24 ± 6.21 a71.15 ± 6.05 a17.28 ± 0.47 a74.19 ± 4.72 b7.41 ± 0.16 a86.43 ± 0.69 a
A Data are presented as mean ± standard deviation. For each column, values not displaying the same letter are significantly different (p < 0.05). AAC, apparent amylose content; CR, chalky rice rate; CD, chalkiness degree; GC, gel consistency; PC, protein content; TSC, total starch content.
Table
Table 2. Thermal and crystallinity parameters of rice starches from different rice lines 1.
Table 2. Thermal and crystallinity parameters of rice starches from different rice lines 1.
LinesTo (°C)Tp (°C)Tc (°C)ΔH (J G−1)RC (%)1047/1022 cm−1
ZH1162.01 ± 0.13 a70.45 ± 0.49 a80.45 ± 0.49 a10.21 ± 0.27 a28.16 ± 0.24 a0.84 ± 0.02 a
osbizip09a60.30 ± 0.28 b68.40 ± 0.43 b77.45 ± 0.35 b8.31 ± 0.25 b26.54 ± 0.34 b0.78 ± 0.01 b
osbizip09b60.88 ± 0.39 b68.90 ± 0.28 b78.20 ± 0.42 b8.32 ± 0.31 b26.72 ± 0.21 b0.77 ± 0.02 b
1 Data presented as mean ± standard deviation. Values with the same letter in a column of the same treatment are not significantly different (p < 0.05). To, onset temperature; Tp, peak temperature; Tc, conclusion temperature; ΔH, enthalpy of gelatinization; RC, relative crystallinity calculated from XRD; 1047/1022, the 1047/1022 cm−1 absorbance ratio calculated form FTIR.
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Wang, C.-X.; Zhu, C.-C.; Lu, C.-Y.; Yang, Y.; Li, Q.-F.; Liu, Q.-Q.; Zhang, C.-Q. Grain Quality and Starch Physicochemical Properties of Chalky Rice Mutant. Agronomy 2021, 11, 1575. https://doi.org/10.3390/agronomy11081575

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Wang C-X, Zhu C-C, Lu C-Y, Yang Y, Li Q-F, Liu Q-Q, Zhang C-Q. Grain Quality and Starch Physicochemical Properties of Chalky Rice Mutant. Agronomy. 2021; 11(8):1575. https://doi.org/10.3390/agronomy11081575

Chicago/Turabian Style

Wang, Chu-Xin, Cheng-Chao Zhu, Chen-Ya Lu, Yong Yang, Qian-Feng Li, Qiao-Quan Liu, and Chang-Quan Zhang. 2021. "Grain Quality and Starch Physicochemical Properties of Chalky Rice Mutant" Agronomy 11, no. 8: 1575. https://doi.org/10.3390/agronomy11081575

APA Style

Wang, C. -X., Zhu, C. -C., Lu, C. -Y., Yang, Y., Li, Q. -F., Liu, Q. -Q., & Zhang, C. -Q. (2021). Grain Quality and Starch Physicochemical Properties of Chalky Rice Mutant. Agronomy, 11(8), 1575. https://doi.org/10.3390/agronomy11081575

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