Unique Glutelin Expression Patterns and Seed Endosperm Structure Facilitate Glutelin Accumulation in Polyploid Rice Seed

Unique Glutelin Expression Patterns and Seed Endosperm Structure Facilitate Glutelin Accumulation in Polyploid Rice Seed | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Original article Unique Glutelin Expression Patterns and Seed Endosperm Structure Facilitate Glutelin Accumulation in Polyploid Rice Seed Lu Gan, Baosheng Huang, Zhaojian Song, Yachun Zhang, Yujie Zhang, and 8 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-109651/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 05 Jul, 2021 Read the published version in Rice → Version 1 posted 10 You are reading this latest preprint version Abstract Background: Polyploidy is an evolutionary trajectory in plants, which is prevalent in nature and confers advantages, such as robust growth, fruit enlargement, and enhancement of stress tolerance and nutrient content. Total protein and glutelin contents in tetraploid rice seeds increased significantly when compared with contents in diploid rice. Additionally, rice is not only a food resource but also a source of high-quality protein. Therefore, enhancing glutelin by polyploidization is an attractive strategy for enhancing the nutritional value of rice seeds and presents a great potential for enhancing the commercial value of rice. Results: To enhance the nutritional value of rice, we developed tetraploid rice and evaluated the contents of various nutrient elements in mature seeds. The results revealed a significant increase in protein contents, including the total seed storage proteins, glutelins, and amino acids in tetraploid rice when compared to those in diploid rice. Tandem mass tag-based quantitative proteomic analyses of seeds revealed that glutelins regulated by GluA-1, GluA-2, GluA-3, GluB-2, GluB-4, GluB-5 , and GluD-1 in 9311-4x were significantly up-regulated (≥ 1.5 fold), which were further verified by immunoblot analyses. In addition, temporal expression patterns of various glutelin subunits in rice seeds with various ploidy levels were investigated to determine the effect of polyploidization on the synthesis and accumulation of glutelins. Quantitative real-time PCR and immunoblot analyses revealed that the expression patterns of glutelin genes in tetraploid rice (9311-4x) varied from those in diploid rice (9311-2x) at different filling stages, such as the initial time, duration, and relative levels of the genes. Cytohistological analyses revealed that the thickness of aleurone cell layers increased significantly by 32% in tetraploid rice, the structures of PSVs in sub-aleurone cells were more diverse and abundant than in diploid rice. Conclusion: Genome duplication influenced the molecular and cytological characteristics of rice seed, resulting in an increase in glutelin content and total storage proteins, which could provide new insights into the enhancement of the nutritional quality of rice seeds by polyploid breeding. Plant Physiology and Morphology Plant Molecular Biology and Genetics seed storage protein glutelin polyploidization expression analysis cytohistological analysis Figures Figure 1 Figure 2 Figure 3 Figure 4 Figure 5 Figure 6 Figure 7 Background Seed storage proteins (SSPs) are the second most abundant components of rice seeds, after starch, accounting for approximately 7–10% of the seed weight, and are key factors influencing the nutritional quality, pasting, and textural properties of cooked rice (Kawakatsu et al. 2010 ). Traditionally, excessive rice proteins have been considered to lower the eating quality of rice (Song et al. 2012 ). However, rice is not only a food resource but also a source of high-quality protein. Therefore, a moderate increase in SSPs may have no influence on the taste quality, but may enhance the nutritional quality of rice. SSPs are classified into glutelins, prolamins, globulins, and albumins based on their solubility characteristics in the extraction solvents (Kawakatsu et al. 2008 ). Rice seeds accumulate glutelins as key SSPs, and they account for 60–80% of the SSPs, followed by prolamins (5–10%) (Shewry and Halford 2002 ). Nevertheless, the predominant proteins in other cereals, such as barley, maize, and wheat are prolamins, accounting for 45–50% of the total SSPs, followed by glutelins (35–45%) (Cho et al. 2016 ). Prolamin is indigestible and reduces the nutritional quality of rice protein due to the hydrophobic nature of its structure (Kubota et al. 2010 ). Glutelins in rice seeds are high-quality plant proteins containing several types of essential amino acids that can be easily digested and absorbed when compared to prolamins (Friedman 1996 ). Therefore, breeding of high-quality rice can be achieved by enhancing the composition and contents of rice glutelins. Several studies have been conducted on the mechanisms of synthesis and accumulation of SSPs in diploid rice (Kawakatsu et al. 2010 ; Kim et al. 2012b ; Lee et al. 2015 ). However, few studies have focused on the potential variations in molecular and cellular traits of SSPs and glutelin accumulation patterns between diploid and tetraploid rice. Polyploidy, or whole-genome duplication (WGD), is a crucial genomic feature in all eukaryotes, which serves as a key innovation in plant evolution and breeding (Chen 2010 ; Zhang et al. 2015 ; Chen et al. 2019 ); however, the challenge of low seed set rate under polyploid rice has not been resolved since 1933 (Cai et al. 2007 ; Nakamori 2008 ; Yu et al. 2020 ). A series of polyploid meiosis stability tetraploid rice lines, which exhibit stable meiotic features and high seed set rates, such as A3-4x and CX35-4x have been developed (Cai et al. 2007 ; Song et al. 2007 ; Tu et al. 2014 ; Xiong et al. 2019 ; Koide et al. 2020 ). Furthermore, the findings of previous studies suggest that polyploidy could enhance yield and environmental adaptability of rice (Song et al. 2007 ; Tu et al. 2014 ). Surprisingly, significant increases in glutelins and total proteins were observed in 24 tetraploid rice lines when compared with diploid lines, which exhibited stable and replicable trends, while other related properties such as starch and fat contents did not exhibit similar increases. Therefore, increased in glutelins and total proteins are critical features in the study of specific accumulation mechanisms of polyploidization associated with increases in glutelins. Glutelins in diploid rice are represented by a multigene family in rice plants and to date, 18 full-length genes annotated as rice glutelins have been investigated ( Oryza Sativa L. cv. Nipponbare; Table S1), and multiple sequence alignments between amino acid sequences of rice glutelins have performed using MEGA X (Fig. S1). Glutelin proteins are classified into three groups and four sub-families based on the amino acid sequence similarities: GluA, GluB, GluC, and GluD subfamilies. Previous studies have revealed that glutelins and globulins are deposited into irregularly-shaped protein body II (PB-II) derived from protein storage vacuoles (PSVs) (Krishnan et al. 1992 ; Kumamaru et al. 2010 ), whereas prolamins are stored in spherical protein bodies (PBs) (referred to as PB-I) derived from the endoplasmic reticulum (ER) (Tanaka et al. 1980 ; Krishnan et al. 1986 ; Saito et al. 2012 ). Glutelins comprise of three subunits including 57-kDa glutelin precursors, and 37-kDa acidic and 20-kDa basic glutelin subunits (Tanaka et al. 1980 ; Yamagata and Tanaka 1986 ). The 57-kDa glutelin precursor is initially synthesized in the ER, and subsequently transported to the PSVs through the Golgi apparatus and the dense vesicle-mediated post-Golgi trafficking pathway, and ultimately form mature 37-kDa acidic and 20-kDa basic glutelin subunits by special cleavage of vacuolar processing enzymes in rice endosperms (Tanaka et al. 1980 ; Kumamaru et al. 2010 ; Ren et al. 2014 ). Defects during the transfer process of proglutelins before they reach the PB-II can lead to overaccumulation of the 57-kDa glutelin precursor proteins and insufficient synthesis of glutelin subunits in the seeds (Wang et al. 2016 ). Shear ripening of glutelins is essential for protein crystallization and maintenance of PB-II morphology (Kumamaru et a1. 2010). The increase in glutelins is primarily manifested by the increase in glutelin subunits after polyploidization. However, the mechanism via which the storage proteins are initially exported from the ER remains unknown. Therefore, it is imperative to explore the dynamic expression patterns and the mechanisms of regulation of glutelins in tetraploid rice. Tetraploid rice exhibit distinct variations in panicle length, seed size, and 1000-seed weight (Song et al. 2007 ). The endosperm accounts for 80–90% of the rice seed. An outer aleurone layer and an inner starchy endosperm constitute the bulk of the cereal endosperm. The aleurone layers predominantly accumulate storage proteins, lipids, vitamins, and minerals (Becraft and Yi 2011 ; Wu et al. 2016 ). Most cereal seeds have single-cell-layered aleurones, except rice ( Oryza sativa ) and barley ( Hordeum vulgare ) (Jestin et al. 2008; Becraft and Yi 2010). Rice aleurone layer structure is variable; it is predominantly a single cell layer but could consist of three or four cell layers in a small, thickened region adjacent to the dorsal vascular bundle (Jestin et al. 2008; Wu et al. 2016 ). A unique structural sub-aleurone layer is located in the outermost layer of a starch-filled endosperm in which a few starch granules and numerous PBs can be observed. Mutations of a DEK1 homolog, ADL1, or suppressed expression of OsCR4 in rice cause variations in the degree of aleurone cell layer loss in rice endosperms (Shen et al. 2003 , Kawakatsu et al. 2009 ). Mutations of DNA demethylase OsROS1 or NAKED ENDOSPERM transcription factors lead to multiple aleurone cell layers, and significant increases in proteins, lipids, vitamins, minerals, and dietary fibers have been observed with an increase in the thickness of aleurone cell layers (Yi et al. 2015 ; Liu et al. 2018 ). In the present study, In the present study, the findings have demonstrated that polyploidization alters the thickness of aleurone cell layer and sub-aleurone layer structure, including protein bodies and starch granules, which could be associated with the variations in protein content. Therefore, it is critical to investigate variations in aleurone layer and starchy endosperm structure between diploid and tetraploid rice, and to determine the potential cytological factors facilitating the increase in protein contents. Enhancing glutelin by polyploidization is an attractive target for enhancing the nutritional value of rice seeds. Various detection methods have been used to explore variations in SSP contents in tetraploid rice, especially glutelin. The findings revealed that total protein and glutelin contents in tetraploid rice increased significantly, which was consistent with the findings of previous studies (Cai et al. 2001 ). Glutelin composition supported the hypothesis that polyploidization can enhance the nutritive value of seed. In the present study, individual glutelin subunits of indica rice cv. 9311-2x and 9311-4x were isolated using sodium dodecyl sulfate-poly acrylamide gel electrophoresis (SDS-PAGE), and identified using tandem mass tags (TMT) to enhance our understanding of the mechanisms of rice glutelin accumulation in tetraploid rice. Based on the subunit identification results, variations between dynamic accumulations of glutelins were studied by immunoblotting and gene expression analyses. In addition, cytohistological analyses of aleurone structures were performed under light microscopy (LM), scanning electron microscopy (SEM), and transmission electron microscopy (TEM). The results revealed that polyploidization increased glutelin content by influencing glutelin biosynthesis, transport and deposition, while variations in glutelin accumulation between tetraploid and diploid rice were largely manifested in the initial time, duration, and relative levels of various glutelin gene expressions during seed filling stages. Glutelin mRNA expressions in tetraploid rice were delayed by 2 days and up-regulated during specific periods; active accumulation duration of glutelin was 6 days longer than that of diploid rice. In addition, the observation of deformed PSVs suggested that polyploidization induced morphological changes and considerable variations in the PSVs, which led to the increase in glutelin contents in rice seeds. Overall, the findings could provide new insights into how polyploid breeding could enhance the contents of endogenous storage proteins in rice, and could facilitate enhancement of the nutritional quality of rice seeds. Results Polyploidization Alters the Protein Content of Mature Seeds The contents of various nutrient elements in mature seeds from 24 pairs of tetraploid and diploid rice were evaluated to determine whether WGD influenced the nutritional value of rice. The results revealed that total brown rice protein, glutelin, and amino acid contents in tetraploid rice seeds increased considerably when compared to diploid rice seeds in 2018 and 2019 ( Fig. 1A-C,Tables S2 and S3), although the extent of alteration was genotype-dependent. Among them, seven pairs of tetraploid and diploid rice were selected and separated by SDS-PAGE to further verify variation in protein contents (Fig. 1, Fig. S2). Figure 1 Expression analyses of SSPs and amino acids in mature seeds of brown rice (9311 and A3). A Total proteins in brown rice (9311 and A3) were separated by SDS-PAGE (4–20% gradient gel). The vertical lines represent protein bands with varying intensities between tetraploid and diploid rice seeds. B SDS-PAGE gel bands were scanned and analyzed using Image J software ( http://rsbweb.nih.gov/ij/ ). Significant differences in glutelin contents between tetraploid and diploid rice seeds were tested using independent Student’s t -test (∗p < 0.05, ∗∗p < 0.01). C Average content of amino acid compositions in mature seeds of tetraploid and diploid rice (9311 and A3). Values are presented as means ± standard deviation (SD, error bars) of three replicates. We extracted total storage proteins from powdered mature brown rice seeds with seven pairs of rice genotypes in 2019, which were subsequently analyzed using SDS-PAGE (4–20% gradient gel) to verify if the increase in total protein content was primarily attributed to increases in the synthesis and accumulation of glutelins (Fig. 1A and B, Fig. S2). Glutelins and prolamins were extracted and evaluated respectively (Table S3). Glutelin contents in all the tetraploid rice increased at varying degrees when compared with the levels in diploid rice (Fig. 1A and B, Table S3). SDS-PAGE gel bands of two pairs of cultivated varieties (9311-2x and 9311-4x, A3-2x and A3-4x) were mainly analyzed using Image J software. The quantities of 57-kDa proglutelin (up 94.69%), and 37-kDa acidic (56.67%) and 20-kDa basic subunits (32.49%) in tetraploid rice seeds (9311-4x) were significantly higher than the quantities in diploid rice seeds (9311-2x; Fig. 1A and B). Similar expression levels were observed in A3-2x and A3-4x. The results revealed that polyploidization largely influenced the total protein content by altering glutelin synthesis. Furthermore, polyploidization exerted a greater effect on storage protein contents in 9311 than in the other cultivars (Fig. 1A and B, Table S3). Most recent studies have focused on enhancing protein utilization efficiency by increasing glutelin contents (Yoon et al. 2012 ). Glutelin contains substantial amounts of lysine and other essential amino acids. Lysine, which is a primary limiting amino acid, influences the nutritional quality of rice consumed by animals and human beings. The amino acid contents of mature seeds in two pairs of rice varieties (9311-2x and 9311-4x, A3-2x and A3-4x) were determined to investigate the effect of polyploidization on amino acids associated with total SSPs. A total of 17 amino acid types in tetraploid rice were substantially up-regulated when compared with the amino acid contents in diploid rice, excluding tyrosine from A3 (Fig. 1C, Table S4). The total amino acid and total protein contents exhibited a similar trend, increasing by 58% on average (Tables S2 and S4), which demonstrated the reliability of the experimental results. In addition, analyses of 9311-2x and 9311-4x revealed that various amino acid contents in tetraploid rice increased by 49–75% when compared with those in diploid rice; the levels of the primary limiting amino acid (lysine) increased by 49.9% (Table S4). The results suggested that tetraploid rice was more nutritious than diploid rice to a certain extent. Differentially Expressed Glutelin Profiles in Mature Seeds Between Tetraploid and Diploid Rice Analyses of protein bands revealed that three bands of approximately 57-kDa, 37-kDa, and 20-kDa on the SDS-PAGE gel exhibited remarkable increases in tetraploid rice when compared to corresponding diploid rice (Fig. 1A and B). Variation in total protein content was primarily attributed to increase in glutelin. Quantitative protein analyses based on TMT were independently performed three times using mature seeds to identify glutelins that were differentially expressed. Eight differentially expressed glutelins (≥ 1.5 fold) identified between 9311-2x and 9311-4x are presented in Table 1 (dataset S1). Glutelins in 9311-4x that exhibited increased expressions were identified as Glutelin type-A1(GluA-1,Os01g0762500), Glutelin type-A2(GluA-2, Os10g0400200), Glutelin type-A3(GluA-3,OS03g0427300), Glutelin type-B2(GluB-2, Os02g0249600), Glutelin type-B4(GluB-4,Os02g0268300), Glutelin type-B5(GluB-5, Os02g0242600), and Glutelin type-D1(GluD-1, Os02g0249000). Furthermore, immunoblotting analyses revealed that six glutelin gene ( GluA-1, GluA-2, GluB-2, GluB-4/5, GluC-1 , and GluD-1 ) bands increased in 9311-4x (Fig. 2), which is consistent with the previous results The observations were verified by the immunoblot analysis results of A3-2x and A3-4x mature seeds. Glutelin expression levels regulated by GluA-1 , GluA-2 , GluB-2 , GluC-1 , and GluD-1 were increased significantly when compared with glutelin expression levels in A3-2x, excluding GluB-1 and GluB-4/5 . The variations in glutelin expression levels between 9311-2x and 9311-4x were more pronounced than variations in A3-2x and A3-4x, which verified the observation that increase in glutelin content in 9311 was considerably higher than that in A3 (Fig. 1A and B, Table S3). Table 1 Identification of varying expression levels of glutelins and PDIL1-1 using tandem mass tags (≥ 1.5 fold) between 9311-2x and 9311-4x at 25 days after pollination (DAP). Identified Protein Coverage a % Theor:Mw(kDa) b Peptides Locus No. Ratio P-value Gene name Similar to Glutelin type-A1 49.5 56.239 27 Os01g0762500 1.700 0.000117 GluA-1 Glutelin type-A2 84.5 25.522 25 Os10g0400200 1.644 0.0000011 GluA-2 Glutelin type-A3 57.1 56.014 28 OS03g0427300 2.185 0.0000171 GluA-3 Similar to Glutelin type-B2 51.5 56.062 35 Os02g0249600 1.795 0.0000766 GluB-2 Similar to Glutelin type-B4 66.8 56.823 40 Os02g0268300 2.076 0.00402 GluB-4 GluB-5, glutelin precursor 40.7 56.835 27 Os02g0242600 2.417 0.0000007 GluB-5 Glutelin type-B5 37.3 54.693 25 Os02g0242600 1.654 0.000215 GluB-7 Similar to Glutelin type-B5 40.7 56.835 27 Os02g0242600 2.417 0.0000007 GluB-7 Glutelin type-D1 43.8 53.252 26 Os02g0249000 1.999 0.0000002 GluD-1 protein disulfide isomerase-like 1–1 67.8 56.854 41 Os11g0199200 1.594 0.00000286 PDIL1-1 a Coverage denotes the percentage of protein sequence covered by the identified peptides; b theoretical molecular weight (MW). Figure 2 Immunoblot analyses of seven glutelin species. The protein extracts derived from mature rice seeds in 9311 and A3 were separated by SDS-PAGE (4–20% gradient), and analyzed by immunoblotting using anti-GluA-1, anti-GluA-2, anti-GluB-1, anti-GluB-2, anti-GluB-4/5, anti-GluC-1, and anti-GluD-1 antibodies. Each lane contained rice powder of similar weight. The identified immune signals were detected using a luminescent image analyzer (Amersham Imager 680; Cytiva, Marlborough, MA, USA). Black triangles represent pro-glutelin, glutelin acidic and basic subunits. Effect of Polyploidization on the Dynamic Accumulation of Glutelins during Filling Stage Dry and Fresh Weight Variations in Rice Seeds after Polyploidization WGD in the nucleus often results in certain morphological and physiological changes, such as leaf, fruit, flower, and seed enlargement. Polyploid rice exhibited a polyploid advantage in agronomic traits such as seed length, seed width, and 1000-seed weight, which were significantly higher than those in diploid rice (Song et al. 2007 ). The development process of 9311 seeds at the filling stage was monitored and we observed that certain indicators of tetraploid seeds, such as seed length, seed width, and fresh weight increased more rapidly than the indicators in diploid seeds (Fig. 3A and B). The fresh and dry weights of diploid seeds from 1 to 13 days after flowering (DAF) increased steadily and reached a maximum at 13 DAF (Fig. 3B). The fresh and dry weights did not vary with continued development, and fresh weight gradually decreased to a stable level (approximately equal to the dry weight) after water loss. Tetraploid rice seeds exhibited a similar trend, although the accumulation of organic matter took more days (17 D) (Fig. 3A and B). Notably, no significant difference was observed in dry weights between diploid and tetraploid rice seeds during the early stage of seed filling (1-11DAF; Fig. 3B). Although the volume of one tetraploid rice seed was larger, the dry weights of 100 seeds were approximately similar. We deduced that protein accumulation in diploid rice occurred preferentially, and the absolute organic matter content in a single diploid seed was higher than the content in a single tetraploid seed. After 13 DAF, the fresh and dry weights of tetraploid rice seeds increased significantly when compared with diploid seeds, which implied that the synthesis of diploid rice organs was inhibited, whereas that of tetraploid rice progressed. Figure 3 Variations in protein accumulation patterns in rice seeds with various ploidy levels during the filling stage. A Morphological changes between 9311-2x and 9311-4x rice seeds from 2 to 25 DAP. Scale Bars: 1 mm. B Dry and fresh weights of 100 rice seeds from 3 to 25 DAP. 9311-2x-FW, fresh weight of 9311-2 × 100-seed; 9311-4x-FW, fresh weight of 9311-4 × 100-seed; 9311-2x-DW, dry weight of 9311-2 × 100-seed; 9311-4x-DW, and dry weight of 9311-4 × 100-seed. Data are means ± standard errors of three biological replicates. C Coomassie brilliant blue (CBB) staining of total SSPs in immature seeds of 9311. Each lane contains rice seeds of similar weight. M = molecular size marker. Proteins were extracted from immature seeds at 3, 5, 7, 9, 11, 13, 17, 21, and 25 DAF. Pro-glutelin, glutelin acidic subunit, glutelin basic subunit and prolamins (10, 13, and 16 kDa) are represented by black vertical lines. D Total seed protein content, total glutelin, pro-glutelin, glutelin acidic subunit, and glutelin basic subunits were analyzed by Image J software. Data are means ± standard errors of three biological replicates. Dynamic Accumulation of Glutelins during Filling Stages The fresh weight, dry weight, and total protein content of tetraploid rice seeds (9311-4x) increased by 41.39%, 31.36%, and 57.3%, respectively when compared with the contents in mature seeds at 25 DAF in 9311-2x (Fig. 3B, Table S2). Total crude proteins of rice seeds (9311-2x and 9311-4x) collected between 3 and 25 DAF were extracted to investigate temporal expression patterns of glutelins. Protein samples were resolved by SDS-PAGE (4–20%) gradient gels, stained using CBB, and analyzed using Image J software. Total protein and glutelin contents were faintly detected at 3 DAF and the levels began to increase until approximately 11 DAF, and remained constant after 13 DAF in 9311-2x (Fig. 3C, E and F). Comparatively, total protein and glutelins were synthesized at 3 DAF in 9311-4x, and their accumulation took 14 days to reach the maximum level, approximately six days after total protein and glutelin accumulated in 9311-2x (Fig. 3C-F). Rice glutelins contained 57-kDa glutelin precursors, and 37-kDa acidic and 20-kDa basic subunits (Tanaka et al. 1980 ; Yamagata and Tanaka 1986 ). Glutelin precursor protein was initially visible at approximately 3 DAF followed by the 37-kDa acidic subunit at 5 DAF and finally the 20-kDa basic subunit at 7 DAF in 9311-2x, as cleavage products of the precursor protein (Fig. 3C). Marked variations were observed in the expressions of the 37-kDa acidic and 20-kDa basic subunits in 9311-4x, which began manifesting at 7 DAF and were sustained until 17 DAF, and the subunit expression levels increased steadily as the seeds matured (Fig. 3D). In conclusion, the expressions of glutelin and its components in tetraploid rice seeds were delayed by 2 days and lasted 6 days longer than in diploid rice seeds. Effect of Polyploidization on Temporal Expressions of Various Genes Relevant to Glutelin Synthesis During Seed Filling Transcriptional expressions of rice glutelin genes were activated at 4–6 DAF (Krishnan and Okita 1986 ). However, temporal expression patterns of various glutelin mRNAs in developing seeds vary. To elucidate the temporal expression patterns of glutelin mRNAs in developing seeds, quantitative real-time PCR (qRT-PCR) was performed using total RNA extracted from developing seeds at 5, 7, 9, 11, 13, 17, 21, and 25 DAF in 9311-2x and 9311-4x. The expression levels of most glutelin gene mRNAs began to increase from 5 DAF, reached a maximum level at 17 DAF, and subsequently decreased from 21 DAF in 9311-2x. Conversely, GluB-2 transcripts exhibited the highest levels of expression at 11 DAF (Fig. 4). With polyploidization, plant genome and gene expressions have undergone complex transformations, including chromosome recombination, sequence elimination, gene silencing, gene non-additive expression and epigenetic variations. The expression trend of glutelin genes in 9311-4x was similar to that of 9311-2x, in which expression levels initially increased and subsequently decreased. The expression levels of eight glutelin genes, however, varied at different filling stages in 9311-4x when compared to 9311-2x; the expression levels were upregulated, downregulated, or remained unaltered. The levels of expression of GluA-1 and GluA-2 were up-regulated from 17 to 25 DAF, although no significant difference was observed in other periods in 9311-2x. The expression peaks of three glutelin genes ( GluB-2 , GluC-1 , and GluD-1 ) were delayed to 21 DAF. By contrast, GluB-1 attained its expression peak at 13 DAF, four days earlier (Fig. 4). The results revealed that certain glutelin mRNA expressions in tetraploid rice were up-regulated during specific periods, and the expressions took longer to reach a peak than in diploid rice seeds. Figure 4 Variations in temporal expression patterns of various glutelin mRNAs in 9311-2x and 9311-4x. QRT-PCR analysis of glutelin gene expressions ( GluA-1 , GluA-2 , GluB-1 , GluB-2 , GluC-1 , and GluD-1 ) in developing seeds of 9311. The y-axis represents glutelin mRNA expression level relative to the β-actin mRNA level. The x-axis represents the day of seed collection after flowering. Data are presented as means ± standard errors of three biological replicates. Effect of Polyploidization on Accumulation Patterns of Glutelin Polypeptides in Developing Seeds Immunoblot analyses revealed that accumulation of specific glutelin subtypes in the endosperm of diploid and tetraploid mature rice seeds varied (Fig. 2). Temporal glutelin accumulation patterns were evaluated to determine the effect of polyploidization on seed filling stage. Initially, total proteins were visualized by CBB staining in developing 9311-2x and 9311-4x rice seeds at 3, 5, 7, 9, 11, 13, 17, 21, and 25 DAF, as illustrated in Fig. 3. As reported previously (Yamagata and Tanaka 1986 ), glutelin accumulation occurred several days before prolamin accumulation was initiated in diploid rice, which is illustrated in Fig. 3. In addition, immunoblot analyses of each glutelin subfamily revealed the expression patterns of glutelins in 9311-2x and 9311-4x (Fig. 5). Similar glutelin subunits in rice with various ploidy levels were expressed at different stages, and the accumulation rates of various subunits varied. The 37-kDa acidic subunits synthesized by most glutelin genes were detected from 3 to 5 DAF, and the maximum glutelin expression level was reached at 9 to 11 DAF in 9311-2x, while the subunits were detected from 5 to 7 DAF, and glutelin expression levels started to peak at 13 to 17 DAF in 9311-4x, which is consistent with previous findings (Fig. 3C and D, Fig. 5); that is, 37-kDa acidic subunit accumulation in 9311-2x took 4–6 days and 6–16 days in 9311-4x. Contrary to expectations, the maximum glutelin expression levels regulated by GluC-1 were attained at 21 DAF in 9311-2x, which occurred after the other gene expression levels had peaked, while the maximum glutelin expression levels regulated by GluC-1 were attained at 13 DAF in 9311-4x, which lasted shorter than the expressions in 9311-2x. Overall, the present study demonstrated that the expression of the 37-kDa acidic subunit in tetraploid rice started a few days later and lasted longer. Immunoblot analyses using anti-GluA-2, anti-GluB-2, anti-GluB-4/5, anti-GluC-1, and anti-GluD-1glutelin antibodies revealed that a 57-kDa glutelin precursor was also expressed. However, the starting time and duration of 57-kDa glutelin precursor expression were significantly different between diploid and tetraploid rice. The 57-kDa glutelin precursor was associated with four genes ( GluA-2, GluB-2, GluB-4/5 , and GluC-1 ) expressed at 7 DAF and its expression was sustained until 21 DAF in 9311-2x, while in 9311-4x, the precursor was expressed at 9 DAF and the expression sustained until 21 DAF or earlier; that is, 57-kDa glutelin precursor accumulation took 14 days in 9311-2x and 12 days in 9311-4x. The results suggest that the expression of 57-kDa glutelin precursor in tetraploid rice begins late and lasts a relatively short period, which differs from 37-kDa acidic subunit accumulation patterns. Notably, contrary to other genes, 57-kDa glutelin precursor expression regulated by GluD-1 reached a peak at 17 DAF in 9311-4x, which was considerably longer than the duration of peak expression in 9311-2x. Based on the results, we subsequently investigated the cytological accumulation mechanisms in immature seeds collected at 17 DAF and mature seeds collected at 25 DAF using SEM and TEM. Figure 5 Accumulation patterns of various glutelin polypeptides in rice with varying ploidy levels. Total proteins in rice seeds from 3, 5, 7, 9, 11, 13, 17, 21 and 25 DAF in 9311-2x and 9311-4x were subjected to immunoblotting with anti-GluA-1, anti-GluA-2, anti-GluB-1, anti-GluB-2, anti-GluB-4/5, anti-GluC-1, and anti-GluD-1 antibodies. Each lane consists of rice seeds with similar weights. Pro-glutelins, glutelin acidic and basic subunits are indicated by black arrowheads. Polyploid Rice Exhibits an Increased Thickness of Aleurone Cell Layers A previous study revealed that aleurone layer thickness was positively correlated with increase in SSP content (Wu et al. 2016 ). To identify polyploid endosperm phenotypes, seed endosperms of diploid and tetraploid rice were transversely sectioned. Afterward, cytohistological analyses were performed on semi-thin sectioned rice seeds that were stained with methylene blue (Fig. 6A-D), periodic acid–Schiff (PAS) reagent, and CBB (Fig. 6E-H). We examined the aleurone layer under LM, which revealed a significantly thicker aleurone layer in tetraploid rice seeds than in diploid rice seeds; however, the number of aleurone cell layers remained unaltered (Fig. 6A-D), and the observation was verified under SEM (Fig. S3) and TEM (Fig. 7A, C, E, and G) of seed sections at 17 and 25 DAF. Furthermore, aleurone layer thickness was evaluated by TEM. Results revealed that aleurone layer thickness in 9311-4x and A3-4x rice seeds increased by 32.92% and 23.64%, respectively, when compared with corresponding diploid rice seeds (Fig. 7I), which suggested that WGD influenced the development of the aleurone layer . Figure 6 Variations in endosperm structural characterization in rice seeds with various ploidy levels. Semi-thin sections of the dehusked immature seeds of 9311 and A3 at 17 DAF stained with methylene blue, (A–D) PAS, and CBB (E–H) . Scale bar: 100 µm (A–D) and 200 µm (E–H) . Seed coat, aleurone layer, and starchy endosperm are represented by black horizontal lines. Blue granules are indicated by black arrowheads, which represent plant proteins. Red granules are indicated by black triangles, which represent plant polysaccharides. Alteration of PSV Structure in Tetraploid Rice Influences Glutelin Content Subcellular structures in the sub-aleurone layer of endosperm cells were examined under TEM to elucidate the effect of WGD on PSV formation. PSVs were more prevalent than PB-Is in the sub-aleurone layer cells of diploid and tetraploid rice (Fig. 7B, D, F, and H). PB-I is spherical and has a concentric ring structure that is surrounded by rough ER membranes with attached polysomes (Saito et al. 2012 ). By contrast, PSV is an irregularly shaped granule with no lamellar structure, and is stained homogeneously (Fig. 7B, D, F, and H). PSVs in tetraploid rice (9311-4x, A3-4x) were more irregular with a high frequency of occurrence (Fig. 7B, D, F, and H). The sub-aleurone layer of tetraploid rice seeds stained with PAS reagent and CBB appeared as blue granules under LM, which indicated more protein components (Fig. 6E-H). The findings suggested that WGD facilitated the formation of more PSVs, which, in turn, increased glutelin content. Figure 7 Variations in structural characteristics of PSVs in rice seeds with various ploidy levels. Electron microscopy of sub-aleurone cells in 9311 (A–D) and A3 (E–H) developing seeds at 17 DAF. I Thickness of aleurone layer. J Numbers of PSVs per 500 µm 2 . Data are presented as means ± standard errors of three biological replicates. SG-starch granule; PSV-protein storage vacuole; PB-I-Protein body-I. Significant differences between means of aleurone layer thickness and numbers of PSVs in tetraploid and diploid rice seeds were tested using independent Student’s t -test (∗p < 0.05, ∗∗p < 0.01). Scale bar: 50 µm. Arrows indicate protein body-I. Discussion Polyploidy is a Potential Approach of Increasing SSPs Polyploidy exhibits substantial enhancement potential and high adaptability, such as robust growth, enhanced stress resistance, high biological yield, fruit enlargement, and nutrient content enhancement, when compared with diploidy (Yu et al. 2020 ). The actual existence of tetraploid plants in nature could be demonstrated by increasing studies despite the potential limitations (Soltis and Soltis 2009 ; Parisod et al. 2010 ). WGD increases gene dosage, genetic reservoirs, and combinatorial complexity, which, in turn, enhance the evolutionary success of polyploidy in plants (Jiao et al. 2011 ; Madlung and Wendel 2013 ; Xiong et al. 2019 ). A few studies have revealed that nutritional enhancement in food crops is a fundamental goal in modern agriculture that is achievable by increasing the contents of proteins, amylose, amino acids, vitamins, minerals, or dietary fibers to satisfy individual nutritional requirements (Sun and Liu 2004 ; Pfeiffer and McClafferty 2007 ). The dosages and structures of hereditary substances in tetraploids have been modified due to the influence of doubling and non-doubling factors involved in the process of WGD when compared with corresponding diploids, which, in turn, lead to variation in tetraploid-related traits. Some progress has been made in annual cereal crop breeding, such as the development of autotetraploid rye, wheat, sorghum, and rice; the contents of carbohydrates, proteins, vitamins, and alkaloids in some autopolyploid plants are higher than the contents in corresponding diploid plants (Tiwari and Xu 1982 ; Comai 2005 ; Cai et al. 2007 ). A previous study revealed that the absolute contents of glutelin and albumin increased significantly after polyploidization, while the absolute contents of gliadin and globulin decreased slightly, resulting in an increase in total protein content (Tiwari and Xu 1982 ). Rice seeds are deficient in certain essential amino acids, which leads to the imbalance in amino acid content. Protein content and amino acid composition are crucial factors that determine the nutritional quality and usability for producers and consumers (Kim et al. 2012b ). The results of the present study have demonstrated the feasibility of enhancing the general nutritional profile of rice by doubling rice chromosomes. After polyploidization, total brown rice protein, glutelin, and amino acid contents in tetraploid rice seeds were considerably enhanced when compared with corresponding diploid rice seeds. The increase in total protein content was primarily attributed to the increase in glutelin and prolamins, with the exception of albumin and globulin contents (Fig. 1). The nutritional value of rice glutelin is higher than the nutritional value of prolamin, albumin and globulin, which are largely indicated by the high amounts of essential amino acids that are easy to digest, especially the first limiting amino acid (lysine). The nutritional value of rice can be increased considerably by enhancing lysine content and utilization of total proteins in the seeds. Polyploidization can enhance the nutritional quality of rice by increasing lysine content. Dynamic and Special Expression Pattern Increases Glutelin Accumulation in Tetraploid Rice Previous research results have demonstrated that polyploid rice exhibits considerable potential value, and tetraploid rice could be a key germplasm in studies using polyploidy to enhance rice yields (Cai et al. 2007 ; Song et al. 2007 ). Most glutelin genes or cDNAs have been cloned in diploid rice; the expression and regulation of glutelin genes (Table S1), and the cellular processes underlying glutelin biosynthesis, transport, and deposition have been elucidated, although relatively less research has been directed at tetraploids. Based on previous studies on diploid rice, the present study has presented a more comprehensive breakthrough with regard to the exploration of the variable expression and synthesis of glutelins, and the histological characteristics of the endosperm in tetraploid rice. Synthesis of glutelin requires a series of complex physiological and biochemical metabolic processes (Kim et al. 2013 ). The increase in gene dosage and multiple gene interactions could result in the overexpression of certain glutelins, which could be one of the key molecular events involved in protein constitution or content modifications in rice endosperms. The protein content of tetraploid barley seeds induced by colchicine increased by 52%, and continuous evaluation of seeds over several generations revealed that the increase was stable and reliable (Tiwari and Xu 1982 ). A few studies have revealed that enhancement of glutelin can be achieved by interfering with the expression of other storage proteins, coupled with alterations in the shape and size of the PBs (Kim et al. 2013 ; Lee et al. 2015 ). In the present study, the data were analyzed statistically and variations determined by comparing mRNA expression levels of glutelin genes between tetraploid and diploid rice over a series of filling periods. Polyploidization altered mRNA expression levels in rice glutelin at specific filling stages; however, the increase in glutelin contents was primarily attributed to a delay in the initiation of glutelin synthesis and the prolonged synthesis. Cytohistological analyses revealed that polyploidization influences the morphology and number of PSVs, which leads to an increase in glutelin content. Aleurone Layer Thickness and PBs Regulate Glutelin Accumulation in Tetraploid rice Studies have increasingly demonstrated that aleurone cell layer thickness and numbers could be positively correlated with rice seed protein contents (Kawakatsu et al. 2009 ; Liu et al. 2018 ). We have demonstrated that tetraploid rice exhibits an increased aleurone cell layer thickness, increased glutelin content and enhanced nutritional profile. Furthermore, glutelin biosynthesis, transport and deposition in tetraploid rice, which determine the nutritional quality of rice seeds were investigated. Recent studies have focused on the folding and sorting mechanism of glutelin and prolamin. Rice lines expressing mutant RBP-P mislocalize both glutelin and prolamin mRNAs (Tian et al. 2018 ). Mislocalization of α-globulin RNA localization to the cisternal ER disrupts transportation of glutelin to the PSVs and their packaging (Yang et al. 2014 ). Glutelin precursors are synthesized in membrane-bound ribosomes, transported to the ER cavity, folded and assembled with the assistance of molecular chaperones in the ER to form disulfide bonds in peptide chains. The loss-of-function mutants of ER chaperones resulted in a decrease in protein contents and phenotypic variations in starch granules in rice seed endosperms (Li et al. 1993 ; Muench et al. 1997 ; Yasuda et al. 2009 ; Onda et al. 2011 ). Binding protein interacts with immature proteins on the ER lumen, which facilitates protein folding (Yasuda et al. 2009 ). Calnexin selectively binds to the unfolded glycoproteins, which can prevent transportation of misfolded proteins from the ER to the Golgi apparatus (Kleizen and Braakman 2004 ). Protein disulfide isomerase can catalyze the formation of disulfide bonds in protein peptide chains, which promotes the stability of glutelin low polymer (trimer) (Muntz 1998 ). In PDI deficient mutants, disulfide bonds in the peptide bond of glutelin precursor could not be synthesized and processed normally, resulting in a substantial increase in glutelin precursor and a significant decrease in mature glutelin acidic and basic subunits (Takemoto et al. 2002 ). In the present study, proteomic analyses of rice seeds at 25 DAF revealed that the expression of PDIL1-1 in tetraploid rice increased by approximately 1.594 fold when compared with the corresponding diploid rice (Table 1 ). SDS-PAGE analyses results revealed that 57-kDa proglutelin, and 37-kDa acidic and 20-kDa basic subunits from tetraploid rice seeds were increased significantly when compared with the corresponding diploids (Fig. 1A and B). According to a previous study, the expression of PDIL1-1 at the transcription level during diploid rice seed development increased gradually after flowering, peaked at 11 DAF, and subsequently decreased sharply to basal levels (Kim et al. 2012a ), as illustrated in Fig. S5. However, during the filling stage of tetraploid rice seed, PDIL1-1 expression at the transcription level reached a peak at 7 DAF, 4 days earlier than diploid rice. The expression level of PDIL1-1 at the seed filling stage was higher than that in diploid rice except for 11–13 DAF, which could have been caused by dose effect (Fig. S5). Polyploidization alters the temporal expression pattern of PDIL1-1 . The increase in glutelin synthesis required increased expression of PDIL1-1 to achieve processing and folding of glutelin in the ER after polyploidization. The results suggest the existence of a positive relationship between increase in PDIL1-1 and the observed quantitative changes in PSVs, which could promote glutelin content accumulation in tetraploid rice seeds. Decreasing Starch Content Could Enhance Protein Content in Rice Seeds Starch, which is composed of amylose and amylopectin, is the key component of the rice endosperm. The proportions of endosperm contents determine the eating and cooking qualities of rice, and appropriate amylose content is a key indicator of high-quality rice (Pang et al 2016 ). Starch granule morphology is associated with the quality of rice. Starch granules in rice seeds with superior quality are smaller, with a distinct polyhedral crystal shape, clear and visible edges and corners, neat and compact arrangement, and a small seed gap. Conversely, the starch granules of poor quality seeds and in chalky parts of the rice seed are not uniform in size; the polyhedral structure is not well-defined; and the granules are loose (Cho et al. 2016 ). The favorable traits in the production of tetraploid rice are high protein and amino acid contents, and low amylose content (Cai et al. 2007 ). In the present study, amylose contents of six pairs of rice varieties were evaluated and the results revealed that polyploidization significantly influenced amylose contents, which exhibited similar downward trends based on different genotypes (Table S5). The micro-structure of starch granules was observed using SEM and the results revealed that starch granules in seed endosperms of tetraploid rice (9311-4x and A3-4x) were more tightly packed, smaller in sizes and with more regular polyhedral shapes when compared with those in diploid rice (9311-2x and A3-2x) (Figure S4). The observations could imply that polyploidization influences the balance between protein and amylose; a decrease in amylose content could be a factor contributing to an increase in total protein and glutelin content, which provides a new insight into the enhancement of nutritional quality of rice by polyploid breeding. Conclusions Polyploidization exerts a great effect on the accumulation of glutelin in rice seeds. In the present study, total brown rice protein, glutelin, and amino acid contents in tetraploid and diploid rice seeds were systematically evaluated and the results suggested that tetraploid rice was more nutritious than diploid rice to a certain extent. TMT and immunoblot analyses were performed to identify eight differentially expressed glutelins (≥ 1.5 fold) between 9311-2x and 9311-4x. The effect of polyploidization on temporal expressions of various glutelin genes was manifested in the initial time, duration, and relative levels during seed filling. Finally, the cytological factors of polyploidy influencing glutelin deposition primarily in the form of increase in aleurone layer thickness and PSVs were explored. Materials And Methods Plant Materials and Growth Conditions A total of 24 pairs of brown rice cultivars including tetraploid rice and the corresponding diploid rice cultivars were used for the experiments. The rice cultivars were grown at Hubei polyploid rice breeding base, and harvested between 2018 and 2019. Autotetraploid rice lines (4n = 48) were artificially synthesized from O. sativa ssp. indica (2n = 24) and O. sativa L. japonica (2n = 24). Tetraploid plants with doubled genome were obtained by treating rice seed buds or callus with a 0.05% (wt/vol) aqueous solution of colchicine for 48 h at 28 °C, and carried out plant architecture screening and chromosome counting for the two generations. Over the last decade, our research group developed several tetraploid indica–japonica hybrid rice through artificial hybridization between tetraploid indica and japonica hybrid lines, and subsequently selected excellent hybrid lines by backcrossing or multiple crossing, then bred corresponding diploid rice using anther culture techniques. Diploid and tetraploid lines were self-pollinated over 48 generations with panicle bagging to prevent cross-pollination. Identification of Glutelin Genes To identify the genes encoding rice glutelin, we performed sequence similarity searches using publicly available sequences of rice in the National Center for Biotechnology Information database ( http://www.ncbi.nlm.nih.gov/ ) and the Rice Annotation Project (RAP) database ( http://rapdb.dna.affrc.go.jp/ ), and selected genes with high percentage identity using BLAST searches of rice (O. Sativa L. cv. Nipponbare) genome. A search of the Rice Genome Annotation Project database ( http://rice.plantbiology.msu.edu/ ) was performed using glutelin as a keyword to identify glutelin genes. Redundant sequences were removed by aligning the gene sequences and their accuracy was checked using the ID converter system in the RAP database. Determination of Nutritional Contents Total proteins were quantified according to the NY/T3-1982 standard of crude protein content determination in cereals and legumes (semimicro-Kjeldahl method). Amylose contents were quantified according to a previously described method (Liu et al. 2018 ). A total of 17 amino acids were quantified (three replicates) using a previously described method (Kim et al. 2013 ) to determine amino acid content. Glutelins and prolamins were extracted based on the method of separating storage proteins in seed endosperms (Kumamaru et al. 1988 ). Prolamin contents were determined using Bradford Protein Assay Kit (Sigma-Aldrich, St. Louis, MO, USA). Glutelin content was determined using Bicinchoninic Acid (BCA) Kit (Sigma-Aldrich). Measurement of Fresh and Dry Weights at the Filling Stage A total of 100 seeds at the filling stage from 1 DAF were collected after every few days (1, 3, 5, 7, 9, 11, 13, 17, 21, and 25 DAF), and subsequently manually shelled and mixed, and the fresh weight of seeds measured; each measurement was repeated three times. Afterward, the seeds were killed at 105 °C and dried at 80 °C until a constant weight was obtained, after which the dry was weight determined. Total Protein Extraction from Endosperm and Analysis by SDS-PAGE In 2019, developing seeds of 9311 and A3 cultivars were sampled in the morning at 3, 5, 7, 9, 11, 13, 17, 21, and 25 DAF and immediately stripped of the hulls before being stored at − 80 °C until required. Rice powder (100 mg fresh weight) was suspended in 1000 µL protein extraction buffer (8 M urea, 4% SDS, 250 mM Tris-HCl (pH 6.8), 20% glycerol, 5% ME, and 100 µg/mL PMSF) and total proteins extracted by shaking overnight at 37℃. The aqueous supernatants were collected after centrifuging at 12,000 × g for 20 min at room temperature, and quantified using Micro BCA assay reagent (Pierce; Thermo Scientific, Waltham, MA, USA). The proteins (50 µg) were denatured by boiling in water for 5–10 min and separated using 4–20% Tris-Glycine gels (Invitrogen, Carlsbad, CA, USA), and subsequently stained with 0.1% CBB R-250 and transferred to a polyvinylidene fluoride membrane for immunoblot analyses. The gel was scanned using an Amersham Imager 680 (Cytiva, Marlborough, MA, USA) and relative accumulation levels calculated using Image J software ( http://rsbweb.nih.gov/ij/ ). Preparation of Polyclonal Antibodies and Immunoblot Analysis With reference to a previous description, synthetic peptides were designed to produce seven types of polyclonal anti-glutelin antibodies (anti-GluA-1, anti-GluA-2, anti-GluB-1, anti-GluB-2, anti-GluB-4/5, anti-GluC-1, and anti-GLUD-1) based on variable regions (Kawakatsu et al. 2008 ; He et al. 2013 ; Takahashi et al. 2019 ) (Table S6). The antibodies were prepared from rabbits by injecting corresponding synthetic peptides (Bioconsumable Biotechnology Co., Ltd, Beijing, China). Afterward, we used the corresponding synthetic peptide conjugated columns to purify polyclonal antibodies from rabbit serum by affinity chromatography, classified and stored the antibodies at − 80 °C until required. Developing seeds at 3, 5, 7, 9, 11, 13, 17, 21, and 25 DAF were sampled for immunoblot analyses as described previously (Kawakatsu et al. 2008 ). The intensities of protein gel blot bands were evaluated using Bio-Rad Quantity One imaging software (Bio-Rad, Hercules, CA, USA). Relative accumulation levels of proteins were calculated from the immunoblot band intensities on X-ray films using Image J software. RNA Extraction and qRT-PCR Total RNA was extracted from developing seeds (5, 7, 9, 11, 13, 17, 21, and 25 DAF) using a plant RNA extraction kit (TaKaRa, Dalian, China; https://www.takarabiomed.com.cn/ ) as a template. The first strand of cDNA was synthesized using a reverse transcription kit with olig (dT)-primer and then amplified by PCR (TaKaRa, Dalian, China). We designed several pairs of specific primers used for storage protein genes, ER-stress response genes, and internal reference genes (Actin and Ubiquitin) for qRT-PCR analyses (Table S7). qRT-PCR analyses were performed using SYBR Premix Ex Taq kit (TaKaRa, Dalian, China), a CFX real-time PCR system and system software (Bio-Rad, Hercules, CA, USA), according to the manufacturer’s instructions. Each seed RNA was extracted from at least three individual plants. Three independent groups of RNA samples were extracted from developing seeds collected at different periods for qRT-PCR analyses. Three technical replicates of each biological replicate were used for each sample. The melting curves at the end of each reaction were analyzed to ensure specificity of PCR products. Histological analysis of semi-thin sections Husks were removed manually from developing rice seeds collected at 17 DAF and the seeds sectioned transversely into 1–2 mm slices, and fixed immediately in glutaraldehyde solution (2.5% glutaraldehyde, 0.1 M phosphate buffer [pH 7.3]) for 24 h. Dehydration, embedding, and slicing of the samples were performed as described previously (Wu et al. 2016 ). Two staining methods were used to examine the structures of semi-thin sections (1.25 µm). First, the sections were stained with PAS reagent, and counter-stained with 0.1% (w/v) CBB for 15 min as described previously (Wu et al. 2016 ). In addition, the sections were dyed to a metallic color with Toluidine blue, washed three times with double distilled water and dried on a baking board. Photographs were taken using a Nikon microscope (Eclipse 80i; Nikon, Tokyo, Japan).\ SEM and TEM Immature seeds at 17 DAF and mature seeds at 25 DAF from diploid and tetraploid rice were harvested and fixed overnight in 2.5% glutaraldehyde in 0.1 M phosphate buffer (pH 7.3) at 4 ºC (Saito et al. 2012 ). SEM and TEM were performed as described previously (Wang et al. 2010 ; Saito et al. 2012 ). Proteomic Analysis Harvested mature seeds were immediately stored at − 80 °C until required. Three biological replicates of mature seeds from 9311-2x and 9311-4x were pooled for TMT analyses. Rice seeds were ground into fine powder in liquid nitrogen. Protein extraction was performed in a lysis buffer (Roche) according to the manufacturer’s instructions and stored overnight at − 20 °C. Protein concentration was determined using an enhanced BCA Protein Assay Kit (P0010; Beyotime Biotechnologies, Ltd., Beijing, China) according to the manufacturer’s instructions. Each protein sample (200 µg) was digested with trypsin overnight at a trypsin-to-protein ratio of 1:100 and subsequently desalted by elution from a Strata-X C18 SPE column (Phenomenex, Torrance, CA, USA), and vacuum dried. The peptides were reconstituted in 0.5 M triethylammonium bicarbonate buffer, and each sample was labeled using 2-plex TMT kit (Frankfurt am Main, Germany) according to the method described in a previous study (Zhang et al. 2017 ). After labeling, individual TMT 2-plex samples were mixed and diluted into 0.1% trifluoricacetic acid, followed by loading on a MacroSpin Vydac C18 reverse phase mini-column (The Nest Group Inc., Southborough, MA, USA). Liquid chromatography-tandem mass spectrometry (MS/MS) analyses for TMT-labeled samples were performed using a Q Exactive™ Orbitrap mass spectrometer (Thermo Fisher Scientific, San Jose, CA, USA) coupled to an EASY-nLC 1000 (Thermo Fisher Scientific, San Jose, CA, USA). Peptide identification and quantification was performed by searching the MS/MS spectra data against an assembly data file using the Mascot 2.2 and Proteome Discoverer™ 1.4 (Thermo Fisher Scientific, San Jose, CA, USA). A unique protein with at least two unique peptides that had a false discovery rate < 0.0160 was used for data analyses. Protein quantification was based on the total intensity of assigned peptides. An average of eight labeled sample mixes was used as a reference and was based on a weighted average of the intensity of reported ions in each peptide identified. Final protein ratios were normalized to the median average protein content of the 8-plex samples. Fold change values (FC) > 1.2 for upregulated or FC < 0.83 for downregulated proteins were set as the threshold for identifying differentially expressed proteins. Statistical Analysis At least three biological replicates were used for the analyses of each treatment and control group. Amino acids, protein content, and fresh and dry weights were analyzed using MS Excel (Microsoft Corp., Redmond, WA, USA) and SPSS 17.0 (SPSS Inc., Chicago, IL, USA). Data were analyzed by one-way analysis of variance and the means were compared by least significant difference test at 5% probability level. Abbreviations CBB:Coomassie brilliant blue; DAF: Days after flowering; ER: Endoplasmic reticulum; LM: Light microscopy; PAS: Periodic acid-Schiff; PBs: Protein bodies; PB-II: protein body II; PCR: Polymerase chain reaction; PDI: Protein disulfide isomerase; PMeS: polyploid meiosis stability; PSV: Protein storage vacuole; qRT-PCR: Quantitative Real-Time PCR; RAP: Rice annotation project; SDS-PAGE: Sodium dodecyl sulfate-poly acrylamide gel electrophoresis; SEM: Scanning microscope; SSPs: Seed storage proteins; TEM: Transmission electron microscopy; TMT: Tandem Mass Tags; WGD: Whole-genome duplication Declarations Acknowledgements We are grateful to Prof. HanLai Zeng, and Dr. Ying He (College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, 430070, China) for providing antibodies to GLUA-1, GLUB-2, GLUB-4/5 . We thank International Science Editing (http://www.internationalscienceediting.com) for editing this manuscript. Authors’ Contributions LG designed and carried out the experiments. LG and YCH analyzed results and wrote the manuscript. BSH performed the Proteomics experiment and analyzed the proteomic data. ZJS and XHZ were responsible for plant materials and nursery maintenance. YCZ and SC contributed to making figures and tables. YJZ, LQT, ZSW, LXY and XBL provided important help for molecular experiments and data analyses. DTC provided many suggestions and revised the manuscript. The authors read and approved the final manuscript. Funding This project was supported by the Chinese National Natural Science Foundation (Grant Nos. 31960068), 2017 Hubei Science and Technology Department Innovation Team (CFA023), 2016 Wuhan Yellow Crane Talents (science) Foundation, the Open Research Fund of State Key Laboratory of Hybrid Rice (Hunan Hybrid Rice Research Center) and Wuhan Science and Technology Major Project “Development and application of polyploid rice (2016-2020)”. Availability of Data and Materials All data generated or analyzed during this study are included in this published article and its supplementary information files. Ethics Approval and Consent to Participate Not applicable. Consent for Publication Not applicable. Competing Interests The authors declare that they have no competing interests. Author details 1 State Key Laboratory of Biocatalysis and Enzyme Engineering, School of Life Sciences, Wuhan 430062, China. 2 School of Chemistry & Environmental Engineering, Hanjiang Normal University, Shiyan 442099, China. 3 Wuhan Polyploid Biology Technology Co. Ltd, Wuhan 432200, China References Becraft PW, Yi G (2011) Regulation of aleurone development in cereal grains. J Exp Bot 5:1669–1675. https://doi.org/10.1093/jxb/erq372 Cai DT, Yuan LP, Lu XG (2001) A New Strategy of Rice Breeding in the 21st Century Ⅱ. Searching a New Pathway of Rice Breeding by Utilization of Double Heterosis of Wide Cross and Polyploidization. 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A rooted tree was generated based on a multiple sequence alignment using MEGA X. Glutelins were grouped into four distinct sub-clades (GluA, GluB, GluC and GluD). Additional file 2: Figure S2. Expression analysis of SSPs using gradient SDS-PAGE (4–20%). CBB staining of total protein in five pairs of rice mature seeds (NJ11-2x and NJ11-4x, CX35-2x and CX35-4x, Mudgo-2x and Mudgo-4x, HJK-2x and HJK-4x, and Balilla-2x and Balilla-4x). Each lane contains rice grains of same weight. M = molecular size marker. Proteins were extracted from rice seeds at 25 DAF. Pro-glutelin polypeptides, glutelin acidic and basic subunits, and prolamins are indicated by black vertical lines. Additional file 3: Figure S3. Variations in aleurone layer structural characterization in rice seeds with various ploidy levels. SEM images of aleurone layers and endosperms of 9311-2x and 9311-4x seeds at 17 and 25 DAF. Scale bar: 50 µm. Additional file 4: Figure S4. Variations in starchy endosperm structural characterization in rice seeds with various ploidy levels. SEM images of seed endosperms in two pairs of rices (9311-2x and 9311-4x, A3-2x and A3-4x) at 25 DAF. Scale bar: 10 µm, 50 µm and 500 µm. Additional file 5: Figure S5. Temporal expression patterns of PDL1-1. QRT-PCR analysis of the PDL1-1 expression level in developing seed endosperms in 9311-2x and 9311-4x. The y-axis represents mRNA expression level relative to the ubiquitin mRNA level. The x-axis represents day of seed collection after flowering. Values are presented as means ± standard errors (n = 3 biological replicates). supplement2.doc Additional file 6: Table S1. Classification of rice glutelin genes. Additional file 7: Table S2. Total protein content and average growth of tetraploid brown rice seeds and the corresponding diploid rice seeds harvested in Wuhan between November 2018 and November 2019. Data are means ± standard errors of three biological replicates; : Shows significant differences of protein content between the tetraploid rice and its diploid rice (P < 0.05); **: Shows extremely significant differences (P < 0.01). Additional file 8: Table S3. Glutelin and prolamin contents in tetraploid and diploid rice seeds. : Denotes significant differences in component protein content between tetraploid and diploid rice (P < 0.05); **: Denotes extremely significant differences (P < 0.01). Additional file 9: Table S4. 17 Amino acids contents of tetraploid and the corresponding diploid brown rice seeds. Data are means ± standard errors of three biological replicates; : Shows significant differences of amino acid contents between the tetraploid and its corresponding diploid rice(P < 0.05); **: Shows extremely significant differences (P < 0.01). Additional file 10: Table S5. Amylose contents of tetraploid and diploid rice. Data are presented as means ± standard errors of three biological replicates. : denotes significant differences in amylose contents between tetraploid and diploid rice (P < 0.05).**: denotes extremely significant differences (P < 0.01). Additional file 11:Table S6. Synthetic peptides for polyclonal anti-glutelin antibodies. Additional file 12: Table S7. Primer sequences used for qRT-PCR. Additional file 13: Dataset S8. The list of all proteins identified using LC-MS/MS in 9311-4x and 9311-2x. Cite Share Download PDF Status: Published Journal Publication published 05 Jul, 2021 Read the published version in Rice → Version 1 posted Editorial decision: Major revision 08 Mar, 2021 Review # 2 received at journal 05 Mar, 2021 Reviewer # 2 agreed at journal 27 Feb, 2021 Review # 1 received at journal 30 Dec, 2020 Reviewer # 1 agreed at journal 16 Dec, 2020 Reviewers invited by journal 16 Nov, 2020 Editor assigned by journal 12 Nov, 2020 Submission checks completed at journal 12 Nov, 2020 Editor invited by journal 12 Nov, 2020 First submitted to journal 10 Nov, 2020 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-109651","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Original article","associatedPublications":[],"authors":[{"id":4849794,"identity":"42634434-b549-4e75-946b-51dcfc7ccbed","order_by":0,"name":"Lu Gan","email":"","orcid":"","institution":"Hubei University","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Lu","middleName":"","lastName":"Gan","suffix":""},{"id":4849795,"identity":"5025eb6a-5db6-499b-8dfc-c5f5f5b233de","order_by":1,"name":"Baosheng Huang","email":"","orcid":"","institution":"Hubei 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A Total proteins in brown rice (9311 and A3) were separated by SDS-PAGE (4%–20% gradient gel). The vertical lines represent protein bands with varying intensities between tetraploid and diploid rice seeds. B SDS-PAGE gel bands were scanned and analyzed using Image J software (http://rsbweb.nih.gov/ij/). Significant differences in glutelin contents between tetraploid and diploid rice seeds were tested using independent Student’s t-test (∗p \u003c 0.05, ∗∗p \u003c 0.01). C Average content of amino acid compositions in mature seeds of tetraploid and diploid rice (9311 and A3). Values are presented as means ± standard deviation (SD, error bars) of three replicates.","description":"","filename":"figure1.jpg","url":"https://assets-eu.researchsquare.com/files/rs-109651/v1/figure_1.jpg"},{"id":3700617,"identity":"9911f499-a8c0-4a04-972c-feb4aa4d9450","added_by":"ab479129-e11f-4ca8-a227-45a443fbaf92","created_at":"2020-11-19 17:10:30","extension":"jpg","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":1353667,"visible":true,"origin":"","legend":"Immunoblot analyses of seven glutelin species. The protein extracts derived from mature rice seeds in 9311 and A3 were separated by SDS-PAGE (4%–20% gradient), and analyzed by immunoblotting using anti-GluA-1, anti-GluA-2, anti-GluB-1, anti-GluB-2, anti-GluB-4/5, anti-GluC-1, and anti-GluD-1 antibodies. Each lane contained rice powder of similar weight. The identified immune signals were detected using a luminescent image analyzer (Amersham Imager 680; Cytiva, Marlborough, MA, USA). Black triangles represent pro-glutelin, glutelin acidic and basic subunits.","description":"","filename":"figure2.jpg","url":"https://assets-eu.researchsquare.com/files/rs-109651/v1/figure_2.jpg"},{"id":3700619,"identity":"ef96b112-9181-40fb-8227-4238918546a7","added_by":"ab479129-e11f-4ca8-a227-45a443fbaf92","created_at":"2020-11-19 17:10:30","extension":"jpg","order_by":3,"title":"Figure 3","display":"","copyAsset":false,"role":"figure","size":1657326,"visible":true,"origin":"","legend":"Variations in protein accumulation patterns in rice seeds with various ploidy levels during the filling stage. A Morphological changes between 9311-2x and 9311-4x rice seeds from 2 to 25 DAP. Scale Bars: 1 mm. B Dry and fresh weights of 100 rice seeds from 3 to 25 DAP. 9311-2x-FW, fresh weight of 9311-2x 100-seed; 9311-4x-FW, fresh weight of 9311-4x 100-seed; 9311-2x-DW, dry weight of 9311-2x 100-seed; 9311-4x-DW, and dry weight of 9311-4x 100-seed. Data are means ± standard errors of three biological replicates. C Coomassie brilliant blue (CBB) staining of total SSPs in immature seeds of 9311. Each lane contains rice seeds of similar weight. M=molecular size marker. Proteins were extracted from immature seeds at 3, 5, 7, 9, 11, 13, 17, 21, and 25 DAF. Pro-glutelin, glutelin acidic subunit, glutelin basic subunit and prolamins (10, 13, and 16 kDa) are represented by black vertical lines. D Total seed protein content, total glutelin, pro-glutelin, glutelin acidic subunit, and glutelin basic subunits were analyzed by Image J software. Data are means ± standard errors of three biological replicates.","description":"","filename":"figure3.jpg","url":"https://assets-eu.researchsquare.com/files/rs-109651/v1/figure_3.jpg"},{"id":3700616,"identity":"2287e4db-3757-4000-a288-b05432347048","added_by":"ab479129-e11f-4ca8-a227-45a443fbaf92","created_at":"2020-11-19 17:10:30","extension":"jpg","order_by":4,"title":"Figure 4","display":"","copyAsset":false,"role":"figure","size":1065705,"visible":true,"origin":"","legend":"Variations in temporal expression patterns of various glutelin mRNAs in 9311-2x and 9311-4x. QRT-PCR analysis of glutelin gene expressions (GluA-1, GluA-2, GluB-1, GluB-2, GluC-1, and GluD-1) in developing seeds of 9311. The y-axis represents glutelin mRNA expression level relative to the β-actin mRNA level. The x-axis represents the day of seed collection after flowering. Data are presented as means ± standard errors of three biological replicates.","description":"","filename":"figure4.jpg","url":"https://assets-eu.researchsquare.com/files/rs-109651/v1/figure_4.jpg"},{"id":3700620,"identity":"72c38818-b137-436a-93a9-79d6ca682ccc","added_by":"ab479129-e11f-4ca8-a227-45a443fbaf92","created_at":"2020-11-19 17:10:30","extension":"jpg","order_by":5,"title":"Figure 5","display":"","copyAsset":false,"role":"figure","size":1390138,"visible":true,"origin":"","legend":"Accumulation patterns of various glutelin polypeptides in rice with varying ploidy levels. Total proteins in rice seeds from 3, 5, 7, 9, 11, 13, 17, 21 and 25 DAF in 9311-2x and 9311-4x were subjected to immunoblotting with anti-GluA-1, anti-GluA-2, anti-GluB-1, anti-GluB-2, anti-GluB-4/5, anti-GluC-1, and anti-GluD-1 antibodies. Each lane consists of rice seeds with similar weights. Pro-glutelins, glutelin acidic and basic subunits are indicated by black arrowheads. ","description":"","filename":"figure5.jpg","url":"https://assets-eu.researchsquare.com/files/rs-109651/v1/figure_5.jpg"},{"id":3700615,"identity":"6c30abc4-9d1a-4a5e-b468-64655c9f16d8","added_by":"ab479129-e11f-4ca8-a227-45a443fbaf92","created_at":"2020-11-19 17:10:30","extension":"jpg","order_by":6,"title":"Figure 6","display":"","copyAsset":false,"role":"figure","size":745817,"visible":true,"origin":"","legend":"Variations in endosperm structural characterization in rice seeds with various ploidy levels. Semi-thin sections of the dehusked immature seeds of 9311 and A3 at 17 DAF stained with methylene blue, (A–D) PAS, and CBB (E–H). Scale bar: 100 μm (A–D) and 200 μm (E–H). Seed coat, aleurone layer, and starchy endosperm are represented by black horizontal lines. Blue granules are indicated by black arrowheads, which represent plant proteins. Red granules are indicated by black triangles, which represent plant polysaccharides.","description":"","filename":"figure6.jpg","url":"https://assets-eu.researchsquare.com/files/rs-109651/v1/figure_6.jpg"},{"id":3700618,"identity":"117aaa81-b9fb-43a1-96b2-9411d6e1ab8a","added_by":"ab479129-e11f-4ca8-a227-45a443fbaf92","created_at":"2020-11-19 17:10:30","extension":"jpg","order_by":7,"title":"Figure 7","display":"","copyAsset":false,"role":"figure","size":1697288,"visible":true,"origin":"","legend":"Variations in structural characteristics of PSVs in rice seeds with various ploidy levels. Electron microscopy of sub-aleurone cells in 9311(A–D) and A3 (E–H) developing seeds at 17 DAF. I Thickness of aleurone layer. J Numbers of PSVs per 500 μm2. Data are presented as means ± standard errors of three biological replicates. SG-starch granule; PSV-protein storage vacuole; PB-I-Protein body-I. Significant differences between means of aleurone layer thickness and numbers of PSVs in tetraploid and diploid rice seeds were tested using independent Student’s t-test (∗p \u003c 0.05, ∗∗p \u003c 0.01). Scale bar: 50 μm. Arrows indicate protein body-I.","description":"","filename":"figure7.jpg","url":"https://assets-eu.researchsquare.com/files/rs-109651/v1/figure_7.jpg"},{"id":13616416,"identity":"dd567028-12c8-4728-8497-462945b0409c","added_by":"auto","created_at":"2021-09-17 06:49:20","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1492269,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-109651/v1/5ab00304-a22a-427c-a116-a7a4d4c860aa.pdf"},{"id":3700614,"identity":"93fc5658-30a7-4836-aaad-15c4f9df2ca6","added_by":"acdc","created_at":"2020-11-19 17:10:30","extension":"doc","order_by":1,"title":"","display":"","copyAsset":false,"role":"supplement","size":17261056,"visible":true,"origin":"acdc-supplements-supplement","legend":"Additional file 1: Figure S1. Phylogenic relationship among rice glutelin proteins. A rooted tree was generated based on a multiple sequence alignment using MEGA X. Glutelins were grouped into four distinct sub-clades (GluA, GluB, GluC and GluD). \nAdditional file 2: Figure S2. Expression analysis of SSPs using gradient SDS-PAGE (4–20%). CBB staining of total protein in five pairs of rice mature seeds (NJ11-2x and NJ11-4x, CX35-2x and CX35-4x, Mudgo-2x and Mudgo-4x, HJK-2x and HJK-4x, and Balilla-2x and Balilla-4x). Each lane contains rice grains of same weight. M = molecular size marker. Proteins were extracted from rice seeds at 25 DAF. Pro-glutelin polypeptides, glutelin acidic and basic subunits, and prolamins are indicated by black vertical lines. \nAdditional file 3: Figure S3. Variations in aleurone layer structural characterization in rice seeds with various ploidy levels. SEM images of aleurone layers and endosperms of 9311-2x and 9311-4x seeds at 17 and 25 DAF. Scale bar: 50 µm. \nAdditional file 4: Figure S4. Variations in starchy endosperm structural characterization in rice seeds with various ploidy levels. SEM images of seed endosperms in two pairs of rices (9311-2x and 9311-4x, A3-2x and A3-4x) at 25 DAF. Scale bar: 10 µm, 50 µm and 500 µm. \nAdditional file 5: Figure S5. Temporal expression patterns of PDL1-1. QRT-PCR analysis of the PDL1-1 expression level in developing seed endosperms in 9311-2x and 9311-4x. The y-axis represents mRNA expression level relative to the ubiquitin mRNA level. The x-axis represents day of seed collection after flowering. Values are presented as means ± standard errors (n = 3 biological replicates).","description":"{\"primaryId\":\"undefined\",\"secondaryId\":\"RICE-D-20-00242\",\"acdcId\":\"undefined\",\"revision\":\"undefined\",\"timestamp\":\"2020-11-16T20:07:53\",\"document\":\"supplements\",\"linkRel\":\"supplement\"}","filename":"supplement1.doc","url":"https://assets-eu.researchsquare.com/files/rs-109651/v1/supplement_1.doc"},{"id":3700612,"identity":"7ea16c10-10ef-4858-889a-dbd584941b5f","added_by":"acdc","created_at":"2020-11-19 17:10:30","extension":"doc","order_by":2,"title":"","display":"","copyAsset":false,"role":"supplement","size":342528,"visible":true,"origin":"acdc-supplements-supplement","legend":"Additional file 6: Table S1. Classification of rice glutelin genes.\nAdditional file 7: Table S2. Total protein content and average growth of tetraploid brown rice seeds and the corresponding diploid rice seeds harvested in Wuhan between November 2018 and November 2019.\nData are means ± standard errors of three biological replicates;*: Shows significant differences of protein content between the tetraploid rice and its diploid rice (P \u003c 0.05); **: Shows extremely significant differences (P \u003c 0.01).\nAdditional file 8: Table S3. Glutelin and prolamin contents in tetraploid and diploid rice seeds. *: Denotes significant differences in component protein content between tetraploid and diploid rice (P \u003c 0.05); **: Denotes extremely significant differences (P \u003c 0.01).\nAdditional file 9: Table S4. 17 Amino acids contents of tetraploid and the corresponding diploid brown rice seeds. Data are means ± standard errors of three biological replicates;*: Shows significant differences of amino acid contents between the tetraploid and its corresponding diploid rice(P \u003c 0.05); **: Shows extremely significant differences (P \u003c 0.01).\nAdditional file 10: Table S5. Amylose contents of tetraploid and diploid rice. Data are presented as means ± standard errors of three biological replicates.*: denotes significant differences in amylose contents between tetraploid and diploid rice (P \u003c 0.05).**: denotes extremely significant differences (P \u003c 0.01).\nAdditional file 11:Table S6. Synthetic peptides for polyclonal anti-glutelin antibodies.\nAdditional file 12: Table S7. Primer sequences used for qRT-PCR.\nAdditional file 13: Dataset S8. The list of all proteins identified using LC-MS/MS in 9311-4x and 9311-2x.","description":"{\"primaryId\":\"undefined\",\"secondaryId\":\"RICE-D-20-00242\",\"acdcId\":\"undefined\",\"revision\":\"undefined\",\"timestamp\":\"2020-11-16T20:07:53\",\"document\":\"supplements\",\"linkRel\":\"supplement\"}","filename":"supplement2.doc","url":"https://assets-eu.researchsquare.com/files/rs-109651/v1/supplement_2.doc"}],"financialInterests":"","formattedTitle":"Unique Glutelin Expression Patterns and Seed Endosperm Structure Facilitate Glutelin Accumulation in Polyploid Rice Seed","fulltext":[{"header":"Background","content":"\u003cp\u003eSeed storage proteins (SSPs) are the second most abundant components of rice seeds, after starch, accounting for approximately 7\u0026ndash;10% of the seed weight, and are key factors influencing the nutritional quality, pasting, and textural properties of cooked rice (Kawakatsu et al. \u003cspan class=\"CitationRef\"\u003e2010\u003c/span\u003e). Traditionally, excessive rice proteins have been considered to lower the eating quality of rice (Song et al. \u003cspan class=\"CitationRef\"\u003e2012\u003c/span\u003e). However, rice is not only a food resource but also a source of high-quality protein. Therefore, a moderate increase in SSPs may have no influence on the taste quality, but may enhance the nutritional quality of rice. SSPs are classified into glutelins, prolamins, globulins, and albumins based on their solubility characteristics in the extraction solvents (Kawakatsu et al. \u003cspan class=\"CitationRef\"\u003e2008\u003c/span\u003e). Rice seeds accumulate glutelins as key SSPs, and they account for 60\u0026ndash;80% of the SSPs, followed by prolamins (5\u0026ndash;10%) (Shewry and Halford \u003cspan class=\"CitationRef\"\u003e2002\u003c/span\u003e). Nevertheless, the predominant proteins in other cereals, such as barley, maize, and wheat are prolamins, accounting for 45\u0026ndash;50% of the total SSPs, followed by glutelins (35\u0026ndash;45%) (Cho et al. \u003cspan class=\"CitationRef\"\u003e2016\u003c/span\u003e). Prolamin is indigestible and reduces the nutritional quality of rice protein due to the hydrophobic nature of its structure (Kubota et al. \u003cspan class=\"CitationRef\"\u003e2010\u003c/span\u003e). Glutelins in rice seeds are high-quality plant proteins containing several types of essential amino acids that can be easily digested and absorbed when compared to prolamins (Friedman \u003cspan class=\"CitationRef\"\u003e1996\u003c/span\u003e). Therefore, breeding of high-quality rice can be achieved by enhancing the composition and contents of rice glutelins. Several studies have been conducted on the mechanisms of synthesis and accumulation of SSPs in diploid rice (Kawakatsu et al. \u003cspan class=\"CitationRef\"\u003e2010\u003c/span\u003e; Kim et al. \u003cspan class=\"CitationRef\"\u003e2012b\u003c/span\u003e; Lee et al. \u003cspan class=\"CitationRef\"\u003e2015\u003c/span\u003e). However, few studies have focused on the potential variations in molecular and cellular traits of SSPs and glutelin accumulation patterns between diploid and tetraploid rice. Polyploidy, or whole-genome duplication (WGD), is a crucial genomic feature in all eukaryotes, which serves as a key innovation in plant evolution and breeding (Chen \u003cspan class=\"CitationRef\"\u003e2010\u003c/span\u003e; Zhang et al. \u003cspan class=\"CitationRef\"\u003e2015\u003c/span\u003e; Chen et al. \u003cspan class=\"CitationRef\"\u003e2019\u003c/span\u003e); however, the challenge of low seed set rate under polyploid rice has not been resolved since 1933 (Cai et al. \u003cspan class=\"CitationRef\"\u003e2007\u003c/span\u003e; Nakamori \u003cspan class=\"CitationRef\"\u003e2008\u003c/span\u003e; Yu et al. \u003cspan class=\"CitationRef\"\u003e2020\u003c/span\u003e ). A series of polyploid meiosis stability tetraploid rice lines, which exhibit stable meiotic features and high seed set rates, such as A3-4x and CX35-4x have been developed (Cai et al. \u003cspan class=\"CitationRef\"\u003e2007\u003c/span\u003e; Song et al. \u003cspan class=\"CitationRef\"\u003e2007\u003c/span\u003e; Tu et al. \u003cspan class=\"CitationRef\"\u003e2014\u003c/span\u003e; Xiong et al. \u003cspan class=\"CitationRef\"\u003e2019\u003c/span\u003e; Koide et al. \u003cspan class=\"CitationRef\"\u003e2020\u003c/span\u003e). Furthermore, the findings of previous studies suggest that polyploidy could enhance yield and environmental adaptability of rice (Song et al. \u003cspan class=\"CitationRef\"\u003e2007\u003c/span\u003e; Tu et al. \u003cspan class=\"CitationRef\"\u003e2014\u003c/span\u003e). Surprisingly, significant increases in glutelins and total proteins were observed in 24 tetraploid rice lines when compared with diploid lines, which exhibited stable and replicable trends, while other related properties such as starch and fat contents did not exhibit similar increases. Therefore, increased in glutelins and total proteins are critical features in the study of specific accumulation mechanisms of polyploidization associated with increases in glutelins.\u003c/p\u003e\n\u003cp\u003eGlutelins in diploid rice are represented by a multigene family in rice plants and to date, 18 full-length genes annotated as rice glutelins have been investigated (\u003cem\u003eOryza Sativa\u003c/em\u003e L. cv. Nipponbare; Table S1), and multiple sequence alignments between amino acid sequences of rice glutelins have performed using MEGA X (Fig. S1). Glutelin proteins are classified into three groups and four sub-families based on the amino acid sequence similarities: \u003cem\u003eGluA, GluB, GluC, and GluD\u003c/em\u003e subfamilies. Previous studies have revealed that glutelins and globulins are deposited into irregularly-shaped protein body II (PB-II) derived from protein storage vacuoles (PSVs) (Krishnan et al. \u003cspan class=\"CitationRef\"\u003e1992\u003c/span\u003e; Kumamaru et al. \u003cspan class=\"CitationRef\"\u003e2010\u003c/span\u003e), whereas prolamins are stored in spherical protein bodies (PBs) (referred to as PB-I) derived from the endoplasmic reticulum (ER) (Tanaka et al. \u003cspan class=\"CitationRef\"\u003e1980\u003c/span\u003e; Krishnan et al. \u003cspan class=\"CitationRef\"\u003e1986\u003c/span\u003e; Saito et al. \u003cspan class=\"CitationRef\"\u003e2012\u003c/span\u003e). Glutelins comprise of three subunits including 57-kDa glutelin precursors, and 37-kDa acidic and 20-kDa basic glutelin subunits (Tanaka et al. \u003cspan class=\"CitationRef\"\u003e1980\u003c/span\u003e; Yamagata and Tanaka \u003cspan class=\"CitationRef\"\u003e1986\u003c/span\u003e). The 57-kDa glutelin precursor is initially synthesized in the ER, and subsequently transported to the PSVs through the Golgi apparatus and the dense vesicle-mediated post-Golgi trafficking pathway, and ultimately form mature 37-kDa acidic and 20-kDa basic glutelin subunits by special cleavage of vacuolar processing enzymes in rice endosperms (Tanaka et al. \u003cspan class=\"CitationRef\"\u003e1980\u003c/span\u003e; Kumamaru et al. \u003cspan class=\"CitationRef\"\u003e2010\u003c/span\u003e; Ren et al. \u003cspan class=\"CitationRef\"\u003e2014\u003c/span\u003e). Defects during the transfer process of proglutelins before they reach the PB-II can lead to overaccumulation of the 57-kDa glutelin precursor proteins and insufficient synthesis of glutelin subunits in the seeds (Wang et al. \u003cspan class=\"CitationRef\"\u003e2016\u003c/span\u003e). Shear ripening of glutelins is essential for protein crystallization and maintenance of PB-II morphology (Kumamaru et a1. 2010). The increase in glutelins is primarily manifested by the increase in glutelin subunits after polyploidization. However, the mechanism via which the storage proteins are initially exported from the ER remains unknown. Therefore, it is imperative to explore the dynamic expression patterns and the mechanisms of regulation of glutelins in tetraploid rice.\u003c/p\u003e\n\u003cp\u003eTetraploid rice exhibit distinct variations in panicle length, seed size, and 1000-seed weight (Song et al. \u003cspan class=\"CitationRef\"\u003e2007\u003c/span\u003e). The endosperm accounts for 80\u0026ndash;90% of the rice seed. An outer aleurone layer and an inner starchy endosperm constitute the bulk of the cereal endosperm. The aleurone layers predominantly accumulate storage proteins, lipids, vitamins, and minerals (Becraft and Yi \u003cspan class=\"CitationRef\"\u003e2011\u003c/span\u003e; Wu et al. \u003cspan class=\"CitationRef\"\u003e2016\u003c/span\u003e). Most cereal seeds have single-cell-layered aleurones, except rice (\u003cem\u003eOryza sativa\u003c/em\u003e) and barley (\u003cem\u003eHordeum vulgare\u003c/em\u003e) (Jestin et al. 2008; Becraft and Yi 2010). Rice aleurone layer structure is variable; it is predominantly a single cell layer but could consist of three or four cell layers in a small, thickened region adjacent to the dorsal vascular bundle (Jestin et al. 2008; Wu et al. \u003cspan class=\"CitationRef\"\u003e2016\u003c/span\u003e). A unique structural sub-aleurone layer is located in the outermost layer of a starch-filled endosperm in which a few starch granules and numerous PBs can be observed. Mutations of a DEK1 homolog, ADL1, or suppressed expression of OsCR4 in rice cause variations in the degree of aleurone cell layer loss in rice endosperms (Shen et al. \u003cspan class=\"CitationRef\"\u003e2003\u003c/span\u003e, Kawakatsu et al. \u003cspan class=\"CitationRef\"\u003e2009\u003c/span\u003e). Mutations of DNA demethylase OsROS1 or NAKED ENDOSPERM transcription factors lead to multiple aleurone cell layers, and significant increases in proteins, lipids, vitamins, minerals, and dietary fibers have been observed with an increase in the thickness of aleurone cell layers (Yi et al. \u003cspan class=\"CitationRef\"\u003e2015\u003c/span\u003e; Liu et al. \u003cspan class=\"CitationRef\"\u003e2018\u003c/span\u003e). In the present study, In the present study, the findings have demonstrated that polyploidization alters the thickness of aleurone cell layer and sub-aleurone layer structure, including protein bodies and starch granules, which could be associated with the variations in protein content. Therefore, it is critical to investigate variations in aleurone layer and starchy endosperm structure between diploid and tetraploid rice, and to determine the potential cytological factors facilitating the increase in protein contents.\u003c/p\u003e\n\u003cp\u003eEnhancing glutelin by polyploidization is an attractive target for enhancing the nutritional value of rice seeds. Various detection methods have been used to explore variations in SSP contents in tetraploid rice, especially glutelin. The findings revealed that total protein and glutelin contents in tetraploid rice increased significantly, which was consistent with the findings of previous studies (Cai et al. \u003cspan class=\"CitationRef\"\u003e2001\u003c/span\u003e). Glutelin composition supported the hypothesis that polyploidization can enhance the nutritive value of seed. In the present study, individual glutelin subunits of indica rice cv. 9311-2x and 9311-4x were isolated using sodium dodecyl sulfate-poly acrylamide gel electrophoresis (SDS-PAGE), and identified using tandem mass tags (TMT) to enhance our understanding of the mechanisms of rice glutelin accumulation in tetraploid rice. Based on the subunit identification results, variations between dynamic accumulations of glutelins were studied by immunoblotting and gene expression analyses. In addition, cytohistological analyses of aleurone structures were performed under light microscopy (LM), scanning electron microscopy (SEM), and transmission electron microscopy (TEM). The results revealed that polyploidization increased glutelin content by influencing glutelin biosynthesis, transport and deposition, while variations in glutelin accumulation between tetraploid and diploid rice were largely manifested in the initial time, duration, and relative levels of various glutelin gene expressions during seed filling stages. Glutelin mRNA expressions in tetraploid rice were delayed by 2 days and up-regulated during specific periods; active accumulation duration of glutelin was 6 days longer than that of diploid rice. In addition, the observation of deformed PSVs suggested that polyploidization induced morphological changes and considerable variations in the PSVs, which led to the increase in glutelin contents in rice seeds. Overall, the findings could provide new insights into how polyploid breeding could enhance the contents of endogenous storage proteins in rice, and could facilitate enhancement of the nutritional quality of rice seeds.\u003c/p\u003e"},{"header":" Results","content":"\u003cdiv id=\"Sec3\" class=\"Section2\"\u003e\n\u003cp\u003e\u003cstrong\u003ePolyploidization Alters the Protein Content of Mature Seeds\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe contents of various nutrient elements in mature seeds from 24 pairs of tetraploid and diploid rice were evaluated to determine whether WGD influenced the nutritional value of rice. The results revealed that total brown rice protein, glutelin, and amino acid contents in tetraploid rice seeds increased considerably when compared to diploid rice seeds in 2018 and 2019 ( Fig.\u0026nbsp;1A-C,Tables S2 and S3), although the extent of alteration was genotype-dependent. Among them, seven pairs of tetraploid and diploid rice were selected and separated by SDS-PAGE to further verify variation in protein contents (Fig.\u0026nbsp;1, Fig. S2).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eFigure\u0026nbsp;1\u003c/strong\u003e Expression analyses of SSPs and amino acids in mature seeds of brown rice (9311 and A3). \u003cstrong\u003eA\u003c/strong\u003e Total proteins in brown rice (9311 and A3) were separated by SDS-PAGE (4\u0026ndash;20% gradient gel). The vertical lines represent protein bands with varying intensities between tetraploid and diploid rice seeds. \u003cstrong\u003eB\u003c/strong\u003e SDS-PAGE gel bands were scanned and analyzed using Image J software (\u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttp://rsbweb.nih.gov/ij/\u003c/span\u003e\u003c/span\u003e). Significant differences in glutelin contents between tetraploid and diploid rice seeds were tested using independent Student\u0026rsquo;s \u003cem\u003et\u003c/em\u003e-test (\u0026lowast;p\u0026thinsp;\u0026lt;\u0026thinsp;0.05, \u0026lowast;\u0026lowast;p\u0026thinsp;\u0026lt;\u0026thinsp;0.01). \u003cstrong\u003eC\u003c/strong\u003e Average content of amino acid compositions in mature seeds of tetraploid and diploid rice (9311 and A3). Values are presented as means\u0026thinsp;\u0026plusmn;\u0026thinsp;standard deviation (SD, error bars) of three replicates.\u003c/p\u003e\n\u003cp\u003eWe extracted total storage proteins from powdered mature brown rice seeds with seven pairs of rice genotypes in 2019, which were subsequently analyzed using SDS-PAGE (4\u0026ndash;20% gradient gel) to verify if the increase in total protein content was primarily attributed to increases in the synthesis and accumulation of glutelins (Fig.\u0026nbsp;1A and B, Fig. S2). Glutelins and prolamins were extracted and evaluated respectively (Table S3). Glutelin contents in all the tetraploid rice increased at varying degrees when compared with the levels in diploid rice (Fig.\u0026nbsp;1A and B, Table S3). SDS-PAGE gel bands of two pairs of cultivated varieties (9311-2x and 9311-4x, A3-2x and A3-4x) were mainly analyzed using Image J software. The quantities of 57-kDa proglutelin (up 94.69%), and 37-kDa acidic (56.67%) and 20-kDa basic subunits (32.49%) in tetraploid rice seeds (9311-4x) were significantly higher than the quantities in diploid rice seeds (9311-2x; Fig.\u0026nbsp;1A and B). Similar expression levels were observed in A3-2x and A3-4x. The results revealed that polyploidization largely influenced the total protein content by altering glutelin synthesis. Furthermore, polyploidization exerted a greater effect on storage protein contents in 9311 than in the other cultivars (Fig.\u0026nbsp;1A and B, Table S3).\u003c/p\u003e\n\u003cp\u003eMost recent studies have focused on enhancing protein utilization efficiency by increasing glutelin contents (Yoon et al. \u003cspan class=\"CitationRef\"\u003e2012\u003c/span\u003e). Glutelin contains substantial amounts of lysine and other essential amino acids. Lysine, which is a primary limiting amino acid, influences the nutritional quality of rice consumed by animals and human beings. The amino acid contents of mature seeds in two pairs of rice varieties (9311-2x and 9311-4x, A3-2x and A3-4x) were determined to investigate the effect of polyploidization on amino acids associated with total SSPs. A total of 17 amino acid types in tetraploid rice were substantially up-regulated when compared with the amino acid contents in diploid rice, excluding tyrosine from A3 (Fig.\u0026nbsp;1C, Table S4). The total amino acid and total protein contents exhibited a similar trend, increasing by 58% on average (Tables S2 and S4), which demonstrated the reliability of the experimental results. In addition, analyses of 9311-2x and 9311-4x revealed that various amino acid contents in tetraploid rice increased by 49\u0026ndash;75% when compared with those in diploid rice; the levels of the primary limiting amino acid (lysine) increased by 49.9% (Table S4). The results suggested that tetraploid rice was more nutritious than diploid rice to a certain extent.\u003c/p\u003e\n\u003cdiv id=\"Sec4\" class=\"Section3\"\u003e\n\u003cp\u003e\u003cstrong\u003eDifferentially Expressed Glutelin Profiles in Mature Seeds Between Tetraploid and Diploid Rice\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eAnalyses of protein bands revealed that three bands of approximately 57-kDa, 37-kDa, and 20-kDa on the SDS-PAGE gel exhibited remarkable increases in tetraploid rice when compared to corresponding diploid rice (Fig.\u0026nbsp;1A and B). Variation in total protein content was primarily attributed to increase in glutelin. Quantitative protein analyses based on TMT were independently performed three times using mature seeds to identify glutelins that were differentially expressed. Eight differentially expressed glutelins (\u0026ge;\u0026thinsp;1.5 fold) identified between 9311-2x and 9311-4x are presented in Table\u0026nbsp;\u003cspan class=\"InternalRef\"\u003e1\u003c/span\u003e (dataset S1). Glutelins in 9311-4x that exhibited increased expressions were identified as Glutelin type-A1(GluA-1,Os01g0762500), Glutelin type-A2(GluA-2, Os10g0400200), Glutelin type-A3(GluA-3,OS03g0427300), Glutelin type-B2(GluB-2, Os02g0249600), Glutelin type-B4(GluB-4,Os02g0268300), Glutelin type-B5(GluB-5, Os02g0242600), and Glutelin type-D1(GluD-1, Os02g0249000). Furthermore, immunoblotting analyses revealed that six glutelin gene (\u003cem\u003eGluA-1, GluA-2, GluB-2, GluB-4/5, GluC-1\u003c/em\u003e, and \u003cem\u003eGluD-1\u003c/em\u003e) bands increased in 9311-4x (Fig.\u0026nbsp;2), which is consistent with the previous results The observations were verified by the immunoblot analysis results of A3-2x and A3-4x mature seeds. Glutelin expression levels regulated by \u003cem\u003eGluA-1\u003c/em\u003e, \u003cem\u003eGluA-2\u003c/em\u003e, \u003cem\u003eGluB-2\u003c/em\u003e, \u003cem\u003eGluC-1\u003c/em\u003e, and \u003cem\u003eGluD-1\u003c/em\u003e were increased significantly when compared with glutelin expression levels in A3-2x, excluding \u003cem\u003eGluB-1\u003c/em\u003e and \u003cem\u003eGluB-4/5\u003c/em\u003e. The variations in glutelin expression levels between 9311-2x and 9311-4x were more pronounced than variations in A3-2x and A3-4x, which verified the observation that increase in glutelin content in 9311 was considerably higher than that in A3 (Fig.\u0026nbsp;1A and B, Table S3).\u003c/p\u003e\n\u003cdiv class=\"gridtable\"\u003e\n\u003ctable id=\"Tab1\" border=\"1\"\u003e\u003ccaption\u003e\n\u003cdiv class=\"CaptionNumber\"\u003eTable 1\u003c/div\u003e\n\u003cdiv class=\"CaptionContent\"\u003e\n\u003cp\u003eIdentification of varying expression levels of glutelins and \u003cem\u003ePDIL1-1\u003c/em\u003e using tandem mass tags (\u0026ge;\u0026thinsp;1.5 fold) between 9311-2x and 9311-4x at 25 days after pollination (DAP).\u003c/p\u003e\n\u003c/div\u003e\n\u003c/caption\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth align=\"left\"\u003e\n\u003cp\u003eIdentified Protein\u003c/p\u003e\n\u003c/th\u003e\n\u003cth align=\"left\"\u003e\n\u003cp\u003eCoverage\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n\u003cp\u003e%\u003c/p\u003e\n\u003c/th\u003e\n\u003cth align=\"left\"\u003e\n\u003cp\u003eTheor:Mw(kDa)\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n\u003c/th\u003e\n\u003cth align=\"left\"\u003e\n\u003cp\u003ePeptides\u003c/p\u003e\n\u003c/th\u003e\n\u003cth align=\"left\"\u003e\n\u003cp\u003eLocus No.\u003c/p\u003e\n\u003c/th\u003e\n\u003cth align=\"left\"\u003e\n\u003cp\u003eRatio\u003c/p\u003e\n\u003c/th\u003e\n\u003cth align=\"left\"\u003e\n\u003cp\u003eP-value\u003c/p\u003e\n\u003c/th\u003e\n\u003cth align=\"left\"\u003e\n\u003cp\u003eGene name\u003c/p\u003e\n\u003c/th\u003e\n\u003c/tr\u003e\n\u003c/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eSimilar to Glutelin type-A1\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"char\" char=\".\"\u003e\n\u003cp\u003e49.5\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"char\" char=\".\"\u003e\n\u003cp\u003e56.239\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"char\" char=\".\"\u003e\n\u003cp\u003e27\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eOs01g0762500\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"char\" char=\".\"\u003e\n\u003cp\u003e1.700\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"char\" char=\".\"\u003e\n\u003cp\u003e0.000117\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e\u003cem\u003eGluA-1\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eGlutelin type-A2\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"char\" char=\".\"\u003e\n\u003cp\u003e84.5\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"char\" char=\".\"\u003e\n\u003cp\u003e25.522\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"char\" char=\".\"\u003e\n\u003cp\u003e25\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eOs10g0400200\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"char\" char=\".\"\u003e\n\u003cp\u003e1.644\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"char\" char=\".\"\u003e\n\u003cp\u003e0.0000011\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e\u003cem\u003eGluA-2\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eGlutelin type-A3\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"char\" char=\".\"\u003e\n\u003cp\u003e57.1\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"char\" char=\".\"\u003e\n\u003cp\u003e56.014\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"char\" char=\".\"\u003e\n\u003cp\u003e28\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eOS03g0427300\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"char\" char=\".\"\u003e\n\u003cp\u003e2.185\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"char\" char=\".\"\u003e\n\u003cp\u003e0.0000171\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e\u003cem\u003eGluA-3\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eSimilar to Glutelin type-B2\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"char\" char=\".\"\u003e\n\u003cp\u003e51.5\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"char\" char=\".\"\u003e\n\u003cp\u003e56.062\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"char\" char=\".\"\u003e\n\u003cp\u003e35\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eOs02g0249600\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"char\" char=\".\"\u003e\n\u003cp\u003e1.795\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"char\" char=\".\"\u003e\n\u003cp\u003e0.0000766\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e\u003cem\u003eGluB-2\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eSimilar to Glutelin type-B4\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"char\" char=\".\"\u003e\n\u003cp\u003e66.8\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"char\" char=\".\"\u003e\n\u003cp\u003e56.823\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"char\" char=\".\"\u003e\n\u003cp\u003e40\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eOs02g0268300\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"char\" char=\".\"\u003e\n\u003cp\u003e2.076\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"char\" char=\".\"\u003e\n\u003cp\u003e0.00402\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e\u003cem\u003eGluB-4\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eGluB-5, glutelin precursor\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"char\" char=\".\"\u003e\n\u003cp\u003e40.7\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"char\" char=\".\"\u003e\n\u003cp\u003e56.835\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"char\" char=\".\"\u003e\n\u003cp\u003e27\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eOs02g0242600\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"char\" char=\".\"\u003e\n\u003cp\u003e2.417\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"char\" char=\".\"\u003e\n\u003cp\u003e0.0000007\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e\u003cem\u003eGluB-5\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eGlutelin type-B5\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"char\" char=\".\"\u003e\n\u003cp\u003e37.3\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"char\" char=\".\"\u003e\n\u003cp\u003e54.693\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"char\" char=\".\"\u003e\n\u003cp\u003e25\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eOs02g0242600\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"char\" char=\".\"\u003e\n\u003cp\u003e1.654\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"char\" char=\".\"\u003e\n\u003cp\u003e0.000215\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e\u003cem\u003eGluB-7\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eSimilar to Glutelin type-B5\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"char\" char=\".\"\u003e\n\u003cp\u003e40.7\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"char\" char=\".\"\u003e\n\u003cp\u003e56.835\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"char\" char=\".\"\u003e\n\u003cp\u003e27\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eOs02g0242600\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"char\" char=\".\"\u003e\n\u003cp\u003e2.417\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"char\" char=\".\"\u003e\n\u003cp\u003e0.0000007\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e\u003cem\u003eGluB-7\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eGlutelin type-D1\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"char\" char=\".\"\u003e\n\u003cp\u003e43.8\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"char\" char=\".\"\u003e\n\u003cp\u003e53.252\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"char\" char=\".\"\u003e\n\u003cp\u003e26\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eOs02g0249000\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"char\" char=\".\"\u003e\n\u003cp\u003e1.999\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"char\" char=\".\"\u003e\n\u003cp\u003e0.0000002\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e\u003cem\u003eGluD-1\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eprotein disulfide isomerase-like 1\u0026ndash;1\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"char\" char=\".\"\u003e\n\u003cp\u003e67.8\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"char\" char=\".\"\u003e\n\u003cp\u003e56.854\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"char\" char=\".\"\u003e\n\u003cp\u003e41\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003eOs11g0199200\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"char\" char=\".\"\u003e\n\u003cp\u003e1.594\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"char\" char=\".\"\u003e\n\u003cp\u003e0.00000286\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd align=\"left\"\u003e\n\u003cp\u003e\u003cem\u003ePDIL1-1\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003c/tbody\u003e\n\u003ctfoot\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"8\"\u003e\u003csup\u003ea\u003c/sup\u003e Coverage denotes the percentage of protein sequence covered by the identified peptides; \u003csup\u003eb\u003c/sup\u003e theoretical molecular weight (MW).\u003c/td\u003e\n\u003c/tr\u003e\n\u003c/tfoot\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eFigure\u0026nbsp;2\u003c/strong\u003e Immunoblot analyses of seven glutelin species. The protein extracts derived from mature rice seeds in 9311 and A3 were separated by SDS-PAGE (4\u0026ndash;20% gradient), and analyzed by immunoblotting using anti-GluA-1, anti-GluA-2, anti-GluB-1, anti-GluB-2, anti-GluB-4/5, anti-GluC-1, and anti-GluD-1 antibodies. Each lane contained rice powder of similar weight. The identified immune signals were detected using a luminescent image analyzer (Amersham Imager 680; Cytiva, Marlborough, MA, USA). Black triangles represent pro-glutelin, glutelin acidic and basic subunits.\u003c/p\u003e\n\u003cdiv id=\"Sec5\" class=\"Section4\"\u003e\n\u003cp\u003e\u003cstrong\u003eEffect of Polyploidization on the Dynamic Accumulation of Glutelins during Filling Stage\u003c/strong\u003e\u003c/p\u003e\n\u003c/div\u003e\n\u003c/div\u003e\n\u003c/div\u003e\n\u003cdiv id=\"Sec6\" class=\"Section2\"\u003e\n\u003cp\u003e\u003cstrong\u003eDry and Fresh Weight Variations in Rice Seeds after Polyploidization\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eWGD in the nucleus often results in certain morphological and physiological changes, such as leaf, fruit, flower, and seed enlargement. Polyploid rice exhibited a polyploid advantage in agronomic traits such as seed length, seed width, and 1000-seed weight, which were significantly higher than those in diploid rice (Song et al. \u003cspan class=\"CitationRef\"\u003e2007\u003c/span\u003e). The development process of 9311 seeds at the filling stage was monitored and we observed that certain indicators of tetraploid seeds, such as seed length, seed width, and fresh weight increased more rapidly than the indicators in diploid seeds (Fig.\u0026nbsp;3A and B). The fresh and dry weights of diploid seeds from 1 to 13 days after flowering (DAF) increased steadily and reached a maximum at 13 DAF (Fig.\u0026nbsp;3B). The fresh and dry weights did not vary with continued development, and fresh weight gradually decreased to a stable level (approximately equal to the dry weight) after water loss. Tetraploid rice seeds exhibited a similar trend, although the accumulation of organic matter took more days (17 D) (Fig.\u0026nbsp;3A and B). Notably, no significant difference was observed in dry weights between diploid and tetraploid rice seeds during the early stage of seed filling (1-11DAF; Fig.\u0026nbsp;3B). Although the volume of one tetraploid rice seed was larger, the dry weights of 100 seeds were approximately similar. We deduced that protein accumulation in diploid rice occurred preferentially, and the absolute organic matter content in a single diploid seed was higher than the content in a single tetraploid seed. After 13 DAF, the fresh and dry weights of tetraploid rice seeds increased significantly when compared with diploid seeds, which implied that the synthesis of diploid rice organs was inhibited, whereas that of tetraploid rice progressed.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eFigure\u0026nbsp;3\u003c/strong\u003e Variations in protein accumulation patterns in rice seeds with various ploidy levels during the filling stage. \u003cstrong\u003eA\u003c/strong\u003e Morphological changes between 9311-2x and 9311-4x rice seeds from 2 to 25 DAP. Scale Bars: 1\u0026nbsp;mm. \u003cstrong\u003eB\u003c/strong\u003e Dry and fresh weights of 100 rice seeds from 3 to 25 DAP. 9311-2x-FW, fresh weight of 9311-2\u0026thinsp;\u0026times;\u0026thinsp;100-seed; 9311-4x-FW, fresh weight of 9311-4\u0026thinsp;\u0026times;\u0026thinsp;100-seed; 9311-2x-DW, dry weight of 9311-2\u0026thinsp;\u0026times;\u0026thinsp;100-seed; 9311-4x-DW, and dry weight of 9311-4\u0026thinsp;\u0026times;\u0026thinsp;100-seed. Data are means\u0026thinsp;\u0026plusmn;\u0026thinsp;standard errors of three biological replicates. \u003cstrong\u003eC\u003c/strong\u003e Coomassie brilliant blue (CBB) staining of total SSPs in immature seeds of 9311. Each lane contains rice seeds of similar weight. M\u0026thinsp;=\u0026thinsp;molecular size marker. Proteins were extracted from immature seeds at 3, 5, 7, 9, 11, 13, 17, 21, and 25 DAF. Pro-glutelin, glutelin acidic subunit, glutelin basic subunit and prolamins (10, 13, and 16\u0026nbsp;kDa) are represented by black vertical lines. \u003cstrong\u003eD\u003c/strong\u003e Total seed protein content, total glutelin, pro-glutelin, glutelin acidic subunit, and glutelin basic subunits were analyzed by Image J software. Data are means\u0026thinsp;\u0026plusmn;\u0026thinsp;standard errors of three biological replicates.\u003c/p\u003e\n\u003cdiv id=\"Sec7\" class=\"Section3\"\u003e\n\u003cp\u003e\u003cstrong\u003eDynamic Accumulation of Glutelins during Filling Stages\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe fresh weight, dry weight, and total protein content of tetraploid rice seeds (9311-4x) increased by 41.39%, 31.36%, and 57.3%, respectively when compared with the contents in mature seeds at 25 DAF in 9311-2x (Fig.\u0026nbsp;3B, Table S2). Total crude proteins of rice seeds (9311-2x and 9311-4x) collected between 3 and 25 DAF were extracted to investigate temporal expression patterns of glutelins. Protein samples were resolved by SDS-PAGE (4\u0026ndash;20%) gradient gels, stained using CBB, and analyzed using Image J software. Total protein and glutelin contents were faintly detected at 3 DAF and the levels began to increase until approximately 11 DAF, and remained constant after 13 DAF in 9311-2x (Fig.\u0026nbsp;3C, E and F). Comparatively, total protein and glutelins were synthesized at 3 DAF in 9311-4x, and their accumulation took 14 days to reach the maximum level, approximately six days after total protein and glutelin accumulated in 9311-2x (Fig.\u0026nbsp;3C-F). Rice glutelins contained 57-kDa glutelin precursors, and 37-kDa acidic and 20-kDa basic subunits (Tanaka et al. \u003cspan class=\"CitationRef\"\u003e1980\u003c/span\u003e; Yamagata and Tanaka \u003cspan class=\"CitationRef\"\u003e1986\u003c/span\u003e). Glutelin precursor protein was initially visible at approximately 3 DAF followed by the 37-kDa acidic subunit at 5 DAF and finally the 20-kDa basic subunit at 7 DAF in 9311-2x, as cleavage products of the precursor protein (Fig.\u0026nbsp;3C). Marked variations were observed in the expressions of the 37-kDa acidic and 20-kDa basic subunits in 9311-4x, which began manifesting at 7 DAF and were sustained until 17 DAF, and the subunit expression levels increased steadily as the seeds matured (Fig.\u0026nbsp;3D). In conclusion, the expressions of glutelin and its components in tetraploid rice seeds were delayed by 2 days and lasted 6 days longer than in diploid rice seeds.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eEffect of Polyploidization on Temporal Expressions of Various Genes Relevant to Glutelin Synthesis During Seed Filling\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eTranscriptional expressions of rice glutelin genes were activated at 4\u0026ndash;6 DAF (Krishnan and Okita \u003cspan class=\"CitationRef\"\u003e1986\u003c/span\u003e). However, temporal expression patterns of various glutelin mRNAs in developing seeds vary. To elucidate the temporal expression patterns of glutelin mRNAs in developing seeds, quantitative real-time PCR (qRT-PCR) was performed using total RNA extracted from developing seeds at 5, 7, 9, 11, 13, 17, 21, and 25 DAF in 9311-2x and 9311-4x. The expression levels of most glutelin gene mRNAs began to increase from 5 DAF, reached a maximum level at 17 DAF, and subsequently decreased from 21 DAF in 9311-2x. Conversely, \u003cem\u003eGluB-2\u003c/em\u003e transcripts exhibited the highest levels of expression at 11 DAF (Fig.\u0026nbsp;4). With polyploidization, plant genome and gene expressions have undergone complex transformations, including chromosome recombination, sequence elimination, gene silencing, gene non-additive expression and epigenetic variations. The expression trend of glutelin genes in 9311-4x was similar to that of 9311-2x, in which expression levels initially increased and subsequently decreased. The expression levels of eight glutelin genes, however, varied at different filling stages in 9311-4x when compared to 9311-2x; the expression levels were upregulated, downregulated, or remained unaltered. The levels of expression of \u003cem\u003eGluA-1\u003c/em\u003e and \u003cem\u003eGluA-2\u003c/em\u003e were up-regulated from 17 to 25 DAF, although no significant difference was observed in other periods in 9311-2x. The expression peaks of three glutelin genes (\u003cem\u003eGluB-2\u003c/em\u003e, \u003cem\u003eGluC-1\u003c/em\u003e, and \u003cem\u003eGluD-1\u003c/em\u003e) were delayed to 21 DAF. By contrast, \u003cem\u003eGluB-1\u003c/em\u003e attained its expression peak at 13 DAF, four days earlier (Fig.\u0026nbsp;4). The results revealed that certain glutelin mRNA expressions in tetraploid rice were up-regulated during specific periods, and the expressions took longer to reach a peak than in diploid rice seeds.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eFigure\u0026nbsp;4\u003c/strong\u003e Variations in temporal expression patterns of various glutelin mRNAs in 9311-2x and 9311-4x. QRT-PCR analysis of glutelin gene expressions (\u003cem\u003eGluA-1\u003c/em\u003e, \u003cem\u003eGluA-2\u003c/em\u003e, \u003cem\u003eGluB-1\u003c/em\u003e, \u003cem\u003eGluB-2\u003c/em\u003e, \u003cem\u003eGluC-1\u003c/em\u003e, and \u003cem\u003eGluD-1\u003c/em\u003e) in developing seeds of 9311. The y-axis represents glutelin mRNA expression level relative to the \u0026beta;-actin mRNA level. The x-axis represents the day of seed collection after flowering. Data are presented as means\u0026thinsp;\u0026plusmn;\u0026thinsp;standard errors of three biological replicates.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eEffect of Polyploidization on Accumulation Patterns of Glutelin Polypeptides in Developing Seeds\u003c/strong\u003e\u003c/p\u003e\n\u003c/div\u003e\n\u003cdiv id=\"Sec8\" class=\"Section3\"\u003e\n\u003cp\u003eImmunoblot analyses revealed that accumulation of specific glutelin subtypes in the endosperm of diploid and tetraploid mature rice seeds varied (Fig.\u0026nbsp;2). Temporal glutelin accumulation patterns were evaluated to determine the effect of polyploidization on seed filling stage. Initially, total proteins were visualized by CBB staining in developing 9311-2x and 9311-4x rice seeds at 3, 5, 7, 9, 11, 13, 17, 21, and 25 DAF, as illustrated in Fig.\u0026nbsp;3. As reported previously (Yamagata and Tanaka \u003cspan class=\"CitationRef\"\u003e1986\u003c/span\u003e), glutelin accumulation occurred several days before prolamin accumulation was initiated in diploid rice, which is illustrated in Fig.\u0026nbsp;3. In addition, immunoblot analyses of each glutelin subfamily revealed the expression patterns of glutelins in 9311-2x and 9311-4x (Fig.\u0026nbsp;5). Similar glutelin subunits in rice with various ploidy levels were expressed at different stages, and the accumulation rates of various subunits varied. The 37-kDa acidic subunits synthesized by most glutelin genes were detected from 3 to 5 DAF, and the maximum glutelin expression level was reached at 9 to 11 DAF in 9311-2x, while the subunits were detected from 5 to 7 DAF, and glutelin expression levels started to peak at 13 to 17 DAF in 9311-4x, which is consistent with previous findings (Fig.\u0026nbsp;3C and D, Fig.\u0026nbsp;5); that is, 37-kDa acidic subunit accumulation in 9311-2x took 4\u0026ndash;6 days and 6\u0026ndash;16 days in 9311-4x. Contrary to expectations, the maximum glutelin expression levels regulated by \u003cem\u003eGluC-1\u003c/em\u003e were attained at 21 DAF in 9311-2x, which occurred after the other gene expression levels had peaked, while the maximum glutelin expression levels regulated by \u003cem\u003eGluC-1\u003c/em\u003e were attained at 13 DAF in 9311-4x, which lasted shorter than the expressions in 9311-2x. Overall, the present study demonstrated that the expression of the 37-kDa acidic subunit in tetraploid rice started a few days later and lasted longer.\u003c/p\u003e\n\u003cp\u003eImmunoblot analyses using anti-GluA-2, anti-GluB-2, anti-GluB-4/5, anti-GluC-1, and anti-GluD-1glutelin antibodies revealed that a 57-kDa glutelin precursor was also expressed. However, the starting time and duration of 57-kDa glutelin precursor expression were significantly different between diploid and tetraploid rice. The 57-kDa glutelin precursor was associated with four genes (\u003cem\u003eGluA-2, GluB-2, GluB-4/5\u003c/em\u003e, and \u003cem\u003eGluC-1\u003c/em\u003e) expressed at 7 DAF and its expression was sustained until 21 DAF in 9311-2x, while in 9311-4x, the precursor was expressed at 9 DAF and the expression sustained until 21 DAF or earlier; that is, 57-kDa glutelin precursor accumulation took 14 days in 9311-2x and 12 days in 9311-4x. The results suggest that the expression of 57-kDa glutelin precursor in tetraploid rice begins late and lasts a relatively short period, which differs from 37-kDa acidic subunit accumulation patterns. Notably, contrary to other genes, 57-kDa glutelin precursor expression regulated by \u003cem\u003eGluD-1\u003c/em\u003e reached a peak at 17 DAF in 9311-4x, which was considerably longer than the duration of peak expression in 9311-2x. Based on the results, we subsequently investigated the cytological accumulation mechanisms in immature seeds collected at 17 DAF and mature seeds collected at 25 DAF using SEM and TEM.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eFigure\u0026nbsp;5\u003c/strong\u003e Accumulation patterns of various glutelin polypeptides in rice with varying ploidy levels. Total proteins in rice seeds from 3, 5, 7, 9, 11, 13, 17, 21 and 25 DAF in 9311-2x and 9311-4x were subjected to immunoblotting with anti-GluA-1, anti-GluA-2, anti-GluB-1, anti-GluB-2, anti-GluB-4/5, anti-GluC-1, and anti-GluD-1 antibodies. Each lane consists of rice seeds with similar weights. Pro-glutelins, glutelin acidic and basic subunits are indicated by black arrowheads.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003ePolyploid Rice Exhibits an Increased Thickness of Aleurone Cell Layers\u003c/strong\u003e\u003c/p\u003e\n\u003c/div\u003e\n\u003cdiv id=\"Sec9\" class=\"Section3\"\u003e\n\u003cp\u003eA previous study revealed that aleurone layer thickness was positively correlated with increase in SSP content (Wu et al. \u003cspan class=\"CitationRef\"\u003e2016\u003c/span\u003e). To identify polyploid endosperm phenotypes, seed endosperms of diploid and tetraploid rice were transversely sectioned. Afterward, cytohistological analyses were performed on semi-thin sectioned rice seeds that were stained with methylene blue (Fig.\u0026nbsp;6A-D), periodic acid\u0026ndash;Schiff (PAS) reagent, and CBB (Fig.\u0026nbsp;6E-H). We examined the aleurone layer under LM, which revealed a significantly thicker aleurone layer in tetraploid rice seeds than in diploid rice seeds; however, the number of aleurone cell layers remained unaltered (Fig.\u0026nbsp;6A-D), and the observation was verified under SEM (Fig. S3) and TEM (Fig.\u0026nbsp;7A, C, E, and G) of seed sections at 17 and 25 DAF. Furthermore, aleurone layer thickness was evaluated by TEM. Results revealed that aleurone layer thickness in 9311-4x and A3-4x rice seeds increased by 32.92% and 23.64%, respectively, when compared with corresponding diploid rice seeds (Fig.\u0026nbsp;7I), which suggested that WGD influenced the development of the aleurone layer .\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eFigure\u0026nbsp;6\u003c/strong\u003e Variations in endosperm structural characterization in rice seeds with various ploidy levels. Semi-thin sections of the dehusked immature seeds of 9311 and A3 at 17 DAF stained with methylene blue, \u003cstrong\u003e(A\u0026ndash;D)\u003c/strong\u003e PAS, and CBB \u003cstrong\u003e(E\u0026ndash;H)\u003c/strong\u003e. Scale bar: 100\u0026nbsp;\u0026micro;m \u003cstrong\u003e(A\u0026ndash;D)\u003c/strong\u003e and 200\u0026nbsp;\u0026micro;m \u003cstrong\u003e(E\u0026ndash;H)\u003c/strong\u003e. Seed coat, aleurone layer, and starchy endosperm are represented by black horizontal lines. Blue granules are indicated by black arrowheads, which represent plant proteins. Red granules are indicated by black triangles, which represent plant polysaccharides.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAlteration of PSV Structure in Tetraploid Rice Influences Glutelin Content\u003c/strong\u003e\u003c/p\u003e\n\u003c/div\u003e\n\u003cdiv id=\"Sec10\" class=\"Section3\"\u003e\n\u003cp\u003eSubcellular structures in the sub-aleurone layer of endosperm cells were examined under TEM to elucidate the effect of WGD on PSV formation. PSVs were more prevalent than PB-Is in the sub-aleurone layer cells of diploid and tetraploid rice (Fig.\u0026nbsp;7B, D, F, and H). PB-I is spherical and has a concentric ring structure that is surrounded by rough ER membranes with attached polysomes (Saito et al. \u003cspan class=\"CitationRef\"\u003e2012\u003c/span\u003e). By contrast, PSV is an irregularly shaped granule with no lamellar structure, and is stained homogeneously (Fig.\u0026nbsp;7B, D, F, and H). PSVs in tetraploid rice (9311-4x, A3-4x) were more irregular with a high frequency of occurrence (Fig.\u0026nbsp;7B, D, F, and H). The sub-aleurone layer of tetraploid rice seeds stained with PAS reagent and CBB appeared as blue granules under LM, which indicated more protein components (Fig.\u0026nbsp;6E-H). The findings suggested that WGD facilitated the formation of more PSVs, which, in turn, increased glutelin content.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eFigure\u0026nbsp;7\u003c/strong\u003e Variations in structural characteristics of PSVs in rice seeds with various ploidy levels. Electron microscopy of sub-aleurone cells in 9311\u003cstrong\u003e(A\u0026ndash;D)\u003c/strong\u003e and A3 \u003cstrong\u003e(E\u0026ndash;H)\u003c/strong\u003e developing seeds at 17 DAF. \u003cstrong\u003eI\u003c/strong\u003e Thickness of aleurone layer. \u003cstrong\u003eJ\u003c/strong\u003e Numbers of PSVs per 500 \u0026micro;m\u003csup\u003e2\u003c/sup\u003e. Data are presented as means\u0026thinsp;\u0026plusmn;\u0026thinsp;standard errors of three biological replicates. SG-starch granule; PSV-protein storage vacuole; PB-I-Protein body-I. Significant differences between means of aleurone layer thickness and numbers of PSVs in tetraploid and diploid rice seeds were tested using independent Student\u0026rsquo;s \u003cem\u003et\u003c/em\u003e-test (\u0026lowast;p\u0026thinsp;\u0026lt;\u0026thinsp;0.05, \u0026lowast;\u0026lowast;p\u0026thinsp;\u0026lt;\u0026thinsp;0.01). Scale bar: 50\u0026nbsp;\u0026micro;m. Arrows indicate protein body-I.\u003c/p\u003e\n\u003c/div\u003e\n\u003c/div\u003e"},{"header":" Discussion","content":"\u003cp\u003e\u003cstrong\u003ePolyploidy is a Potential Approach of Increasing SSPs\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003ePolyploidy exhibits substantial enhancement potential and high adaptability, such as robust growth, enhanced stress resistance, high biological yield, fruit enlargement, and nutrient content enhancement, when compared with diploidy (Yu et al. \u003cspan class=\"CitationRef\"\u003e2020\u003c/span\u003e). The actual existence of tetraploid plants in nature could be demonstrated by increasing studies despite the potential limitations (Soltis and Soltis \u003cspan class=\"CitationRef\"\u003e2009\u003c/span\u003e; Parisod et al. \u003cspan class=\"CitationRef\"\u003e2010\u003c/span\u003e). WGD increases gene dosage, genetic reservoirs, and combinatorial complexity, which, in turn, enhance the evolutionary success of polyploidy in plants (Jiao et al. \u003cspan class=\"CitationRef\"\u003e2011\u003c/span\u003e; Madlung and Wendel \u003cspan class=\"CitationRef\"\u003e2013\u003c/span\u003e; Xiong et al. \u003cspan class=\"CitationRef\"\u003e2019\u003c/span\u003e).\u003c/p\u003e\n\u003cp\u003eA few studies have revealed that nutritional enhancement in food crops is a fundamental goal in modern agriculture that is achievable by increasing the contents of proteins, amylose, amino acids, vitamins, minerals, or dietary fibers to satisfy individual nutritional requirements (Sun and Liu \u003cspan class=\"CitationRef\"\u003e2004\u003c/span\u003e; Pfeiffer and McClafferty \u003cspan class=\"CitationRef\"\u003e2007\u003c/span\u003e). The dosages and structures of hereditary substances in tetraploids have been modified due to the influence of doubling and non-doubling factors involved in the process of WGD when compared with corresponding diploids, which, in turn, lead to variation in tetraploid-related traits. Some progress has been made in annual cereal crop breeding, such as the development of autotetraploid rye, wheat, sorghum, and rice; the contents of carbohydrates, proteins, vitamins, and alkaloids in some autopolyploid plants are higher than the contents in corresponding diploid plants (Tiwari and Xu \u003cspan class=\"CitationRef\"\u003e1982\u003c/span\u003e; Comai \u003cspan class=\"CitationRef\"\u003e2005\u003c/span\u003e; Cai et al. \u003cspan class=\"CitationRef\"\u003e2007\u003c/span\u003e). A previous study revealed that the absolute contents of glutelin and albumin increased significantly after polyploidization, while the absolute contents of gliadin and globulin decreased slightly, resulting in an increase in total protein content (Tiwari and Xu \u003cspan class=\"CitationRef\"\u003e1982\u003c/span\u003e).\u003c/p\u003e\n\u003cp\u003eRice seeds are deficient in certain essential amino acids, which leads to the imbalance in amino acid content. Protein content and amino acid composition are crucial factors that determine the nutritional quality and usability for producers and consumers (Kim et al. \u003cspan class=\"CitationRef\"\u003e2012b\u003c/span\u003e). The results of the present study have demonstrated the feasibility of enhancing the general nutritional profile of rice by doubling rice chromosomes. After polyploidization, total brown rice protein, glutelin, and amino acid contents in tetraploid rice seeds were considerably enhanced when compared with corresponding diploid rice seeds. The increase in total protein content was primarily attributed to the increase in glutelin and prolamins, with the exception of albumin and globulin contents (Fig.\u0026nbsp;1). The nutritional value of rice glutelin is higher than the nutritional value of prolamin, albumin and globulin, which are largely indicated by the high amounts of essential amino acids that are easy to digest, especially the first limiting amino acid (lysine). The nutritional value of rice can be increased considerably by enhancing lysine content and utilization of total proteins in the seeds. Polyploidization can enhance the nutritional quality of rice by increasing lysine content.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eDynamic and Special Expression Pattern Increases Glutelin Accumulation in Tetraploid Rice\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003ePrevious research results have demonstrated that polyploid rice exhibits considerable potential value, and tetraploid rice could be a key germplasm in studies using polyploidy to enhance rice yields (Cai et al. \u003cspan class=\"CitationRef\"\u003e2007\u003c/span\u003e; Song et al. \u003cspan class=\"CitationRef\"\u003e2007\u003c/span\u003e). Most glutelin genes or cDNAs have been cloned in diploid rice; the expression and regulation of glutelin genes (Table S1), and the cellular processes underlying glutelin biosynthesis, transport, and deposition have been elucidated, although relatively less research has been directed at tetraploids. Based on previous studies on diploid rice, the present study has presented a more comprehensive breakthrough with regard to the exploration of the variable expression and synthesis of glutelins, and the histological characteristics of the endosperm in tetraploid rice. Synthesis of glutelin requires a series of complex physiological and biochemical metabolic processes (Kim et al. \u003cspan class=\"CitationRef\"\u003e2013\u003c/span\u003e). The increase in gene dosage and multiple gene interactions could result in the overexpression of certain glutelins, which could be one of the key molecular events involved in protein constitution or content modifications in rice endosperms. The protein content of tetraploid barley seeds induced by colchicine increased by 52%, and continuous evaluation of seeds over several generations revealed that the increase was stable and reliable (Tiwari and Xu \u003cspan class=\"CitationRef\"\u003e1982\u003c/span\u003e). A few studies have revealed that enhancement of glutelin can be achieved by interfering with the expression of other storage proteins, coupled with alterations in the shape and size of the PBs (Kim et al. \u003cspan class=\"CitationRef\"\u003e2013\u003c/span\u003e; Lee et al. \u003cspan class=\"CitationRef\"\u003e2015\u003c/span\u003e). In the present study, the data were analyzed statistically and variations determined by comparing mRNA expression levels of glutelin genes between tetraploid and diploid rice over a series of filling periods. Polyploidization altered mRNA expression levels in rice glutelin at specific filling stages; however, the increase in glutelin contents was primarily attributed to a delay in the initiation of glutelin synthesis and the prolonged synthesis. Cytohistological analyses revealed that polyploidization influences the morphology and number of PSVs, which leads to an increase in glutelin content.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAleurone Layer Thickness and PBs Regulate Glutelin Accumulation in Tetraploid rice\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eStudies have increasingly demonstrated that aleurone cell layer thickness and numbers could be positively correlated with rice seed protein contents (Kawakatsu et al. \u003cspan class=\"CitationRef\"\u003e2009\u003c/span\u003e; Liu et al. \u003cspan class=\"CitationRef\"\u003e2018\u003c/span\u003e). We have demonstrated that tetraploid rice exhibits an increased aleurone cell layer thickness, increased glutelin content and enhanced nutritional profile. Furthermore, glutelin biosynthesis, transport and deposition in tetraploid rice, which determine the nutritional quality of rice seeds were investigated. Recent studies have focused on the folding and sorting mechanism of glutelin and prolamin. Rice lines expressing mutant RBP-P mislocalize both glutelin and prolamin mRNAs (Tian et al. \u003cspan class=\"CitationRef\"\u003e2018\u003c/span\u003e). Mislocalization of \u0026alpha;-globulin RNA localization to the cisternal ER disrupts transportation of glutelin to the PSVs and their packaging (Yang et al. \u003cspan class=\"CitationRef\"\u003e2014\u003c/span\u003e). Glutelin precursors are synthesized in membrane-bound ribosomes, transported to the ER cavity, folded and assembled with the assistance of molecular chaperones in the ER to form disulfide bonds in peptide chains. The loss-of-function mutants of ER chaperones resulted in a decrease in protein contents and phenotypic variations in starch granules in rice seed endosperms (Li et al. \u003cspan class=\"CitationRef\"\u003e1993\u003c/span\u003e; Muench et al. \u003cspan class=\"CitationRef\"\u003e1997\u003c/span\u003e; Yasuda et al. \u003cspan class=\"CitationRef\"\u003e2009\u003c/span\u003e; Onda et al. \u003cspan class=\"CitationRef\"\u003e2011\u003c/span\u003e). Binding protein interacts with immature proteins on the ER lumen, which facilitates protein folding (Yasuda et al. \u003cspan class=\"CitationRef\"\u003e2009\u003c/span\u003e). Calnexin selectively binds to the unfolded glycoproteins, which can prevent transportation of misfolded proteins from the ER to the Golgi apparatus (Kleizen and Braakman \u003cspan class=\"CitationRef\"\u003e2004\u003c/span\u003e). Protein disulfide isomerase can catalyze the formation of disulfide bonds in protein peptide chains, which promotes the stability of glutelin low polymer (trimer) (Muntz \u003cspan class=\"CitationRef\"\u003e1998\u003c/span\u003e). In PDI deficient mutants, disulfide bonds in the peptide bond of glutelin precursor could not be synthesized and processed normally, resulting in a substantial increase in glutelin precursor and a significant decrease in mature glutelin acidic and basic subunits (Takemoto et al. \u003cspan class=\"CitationRef\"\u003e2002\u003c/span\u003e).\u003c/p\u003e\n\u003cp\u003eIn the present study, proteomic analyses of rice seeds at 25 DAF revealed that the expression of \u003cem\u003ePDIL1-1\u003c/em\u003e in tetraploid rice increased by approximately 1.594 fold when compared with the corresponding diploid rice (Table\u0026nbsp;\u003cspan class=\"InternalRef\"\u003e1\u003c/span\u003e). SDS-PAGE analyses results revealed that 57-kDa proglutelin, and 37-kDa acidic and 20-kDa basic subunits from tetraploid rice seeds were increased significantly when compared with the corresponding diploids (Fig.\u0026nbsp;1A and B). According to a previous study, the expression of \u003cem\u003ePDIL1-1\u003c/em\u003e\u0026nbsp;at the transcription level during diploid rice seed development increased gradually after flowering, peaked at 11 DAF, and subsequently decreased sharply to basal levels (Kim et al. \u003cspan class=\"CitationRef\"\u003e2012a\u003c/span\u003e), as illustrated in Fig. S5. However, during the filling stage of tetraploid rice seed, \u003cem\u003ePDIL1-1\u003c/em\u003e expression at the transcription level reached a peak at 7 DAF, 4 days earlier than diploid rice. The expression level of \u003cem\u003ePDIL1-1\u003c/em\u003e\u0026nbsp;at the seed filling stage was higher than that in diploid rice except for 11\u0026ndash;13 DAF, which could have been caused by dose effect (Fig. S5). Polyploidization alters the temporal expression pattern of \u003cem\u003ePDIL1-1\u003c/em\u003e. The increase in glutelin synthesis required increased expression of \u003cem\u003ePDIL1-1\u003c/em\u003e to achieve processing and folding of glutelin in the ER after polyploidization. The results suggest the existence of a positive relationship between increase in \u003cem\u003ePDIL1-1\u003c/em\u003e and the observed quantitative changes in PSVs, which could promote glutelin content accumulation in tetraploid rice seeds.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eDecreasing Starch Content Could Enhance Protein Content in Rice Seeds\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eStarch, which is composed of amylose and amylopectin, is the key component of the rice endosperm. The proportions of endosperm contents determine the eating and cooking qualities of rice, and appropriate amylose content is a key indicator of high-quality rice (Pang et al \u003cspan class=\"CitationRef\"\u003e2016\u003c/span\u003e). Starch granule morphology is associated with the quality of rice. Starch granules in rice seeds with superior quality are smaller, with a distinct polyhedral crystal shape, clear and visible edges and corners, neat and compact arrangement, and a small seed gap. Conversely, the starch granules of poor quality seeds and in chalky parts of the rice seed are not uniform in size; the polyhedral structure is not well-defined; and the granules are loose (Cho et al. \u003cspan class=\"CitationRef\"\u003e2016\u003c/span\u003e). The favorable traits in the production of tetraploid rice are high protein and amino acid contents, and low amylose content (Cai et al. \u003cspan class=\"CitationRef\"\u003e2007\u003c/span\u003e). In the present study, amylose contents of six pairs of rice varieties were evaluated and the results revealed that polyploidization significantly influenced amylose contents, which exhibited similar downward trends based on different genotypes (Table S5). The micro-structure of starch granules was observed using SEM and the results revealed that starch granules in seed endosperms of tetraploid rice (9311-4x and A3-4x) were more tightly packed, smaller in sizes and with more regular polyhedral shapes when compared with those in diploid rice (9311-2x and A3-2x) (Figure S4). The observations could imply that polyploidization influences the balance between protein and amylose; a decrease in amylose content could be a factor contributing to an increase in total protein and glutelin content, which provides a new insight into the enhancement of nutritional quality of rice by polyploid breeding.\u003c/p\u003e"},{"header":" Conclusions","content":" \u003cp\u003ePolyploidization exerts a great effect on the accumulation of glutelin in rice seeds. In the present study, total brown rice protein, glutelin, and amino acid contents in tetraploid and diploid rice seeds were systematically evaluated and the results suggested that tetraploid rice was more nutritious than diploid rice to a certain extent. TMT and immunoblot analyses were performed to identify eight differentially expressed glutelins (\u0026ge;\u0026thinsp;1.5 fold) between 9311-2x and 9311-4x. The effect of polyploidization on temporal expressions of various glutelin genes was manifested in the initial time, duration, and relative levels during seed filling. Finally, the cytological factors of polyploidy influencing glutelin deposition primarily in the form of increase in aleurone layer thickness and PSVs were explored.\u003c/p\u003e "},{"header":" Materials And Methods","content":"\u003cp\u003e\u003cstrong\u003ePlant Materials and Growth Conditions\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eA total of 24 pairs of brown rice cultivars including tetraploid rice and the corresponding diploid rice cultivars were used for the experiments. The rice cultivars were grown at Hubei polyploid rice breeding base, and harvested between 2018 and 2019.\u003c/p\u003e\n\u003cp\u003eAutotetraploid rice lines (4n\u0026thinsp;=\u0026thinsp;48) were artificially synthesized from \u003cem\u003eO. sativa\u003c/em\u003e ssp. indica (2n\u0026thinsp;=\u0026thinsp;24) and \u003cem\u003eO. sativa\u003c/em\u003e L. japonica (2n\u0026thinsp;=\u0026thinsp;24). Tetraploid plants with doubled genome were obtained by treating rice seed buds or callus with a 0.05% (wt/vol) aqueous solution of colchicine for 48\u0026nbsp;h at 28\u0026nbsp;\u0026deg;C, and carried out plant architecture screening and chromosome counting for the two generations. Over the last decade, our research group developed several tetraploid indica\u0026ndash;japonica hybrid rice through artificial hybridization between tetraploid indica and japonica hybrid lines, and subsequently selected excellent hybrid lines by backcrossing or multiple crossing, then bred corresponding diploid rice using anther culture techniques. Diploid and tetraploid lines were self-pollinated over 48 generations with panicle bagging to prevent cross-pollination.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eIdentification of Glutelin Genes\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eTo identify the genes encoding rice glutelin, we performed sequence similarity searches using publicly available sequences of rice in the National Center for Biotechnology Information database (\u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttp://www.ncbi.nlm.nih.gov/\u003c/span\u003e\u003c/span\u003e) and the Rice Annotation Project (RAP) database (\u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttp://rapdb.dna.affrc.go.jp/\u003c/span\u003e\u003c/span\u003e), and selected genes with high percentage identity using BLAST searches of rice (O. Sativa L. cv. Nipponbare) genome. A search of the Rice Genome Annotation Project database (\u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttp://rice.plantbiology.msu.edu/\u003c/span\u003e\u003c/span\u003e) was performed using glutelin as a keyword to identify glutelin genes. Redundant sequences were removed by aligning the gene sequences and their accuracy was checked using the ID converter system in the RAP database.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eDetermination of Nutritional Contents\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eTotal proteins were quantified according to the NY/T3-1982 standard of crude protein content determination in cereals and legumes (semimicro-Kjeldahl method). Amylose contents were quantified according to a previously described method (Liu et al. \u003cspan class=\"CitationRef\"\u003e2018\u003c/span\u003e). A total of 17 amino acids were quantified (three replicates) using a previously described method (Kim et al. \u003cspan class=\"CitationRef\"\u003e2013\u003c/span\u003e) to determine amino acid content. Glutelins and prolamins were extracted based on the method of separating storage proteins in seed endosperms (Kumamaru et al. \u003cspan class=\"CitationRef\"\u003e1988\u003c/span\u003e). Prolamin contents were determined using Bradford\u0026ensp;Protein\u0026ensp;Assay\u0026ensp;Kit (Sigma-Aldrich, St. Louis, MO, USA). Glutelin content was determined using Bicinchoninic Acid (BCA) Kit (Sigma-Aldrich).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eMeasurement of Fresh and Dry Weights at the Filling Stage\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eA total of 100 seeds at the filling stage from 1 DAF were collected after every few days (1, 3, 5, 7, 9, 11, 13, 17, 21, and 25 DAF), and subsequently manually shelled and mixed, and the fresh weight of seeds measured; each measurement was repeated three times. Afterward, the seeds were killed at 105\u0026nbsp;\u0026deg;C and dried at 80\u0026nbsp;\u0026deg;C until a constant weight was obtained, after which the dry was weight determined.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTotal Protein Extraction from Endosperm and Analysis by SDS-PAGE\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eIn 2019, developing seeds of 9311 and A3 cultivars were sampled in the morning at 3, 5, 7, 9, 11, 13, 17, 21, and 25 DAF and immediately stripped of the hulls before being stored at \u0026minus;\u0026thinsp;80\u0026nbsp;\u0026deg;C until required.\u003c/p\u003e\n\u003cp\u003eRice powder (100\u0026nbsp;mg fresh weight) was suspended in 1000 \u0026micro;L protein extraction buffer (8\u0026nbsp;M urea, 4% SDS, 250\u0026nbsp;mM Tris-HCl (pH 6.8), 20% glycerol, 5% ME, and 100\u0026nbsp;\u0026micro;g/mL PMSF) and total proteins extracted by shaking overnight at 37℃. The aqueous supernatants were collected after centrifuging at 12,000\u0026thinsp;\u0026times;\u0026thinsp;g for 20\u0026nbsp;min at room temperature, and quantified using Micro BCA assay reagent (Pierce; Thermo Scientific, Waltham, MA, USA). The proteins (50\u0026nbsp;\u0026micro;g) were denatured by boiling in water for 5\u0026ndash;10\u0026nbsp;min and separated using 4\u0026ndash;20% Tris-Glycine gels (Invitrogen, Carlsbad, CA, USA), and subsequently stained with 0.1% CBB R-250 and transferred to a polyvinylidene fluoride membrane for immunoblot analyses. The gel was scanned using an Amersham Imager 680 (Cytiva, Marlborough, MA, USA) and relative accumulation levels calculated using Image J software (\u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttp://rsbweb.nih.gov/ij/\u003c/span\u003e\u003c/span\u003e).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003ePreparation of Polyclonal Antibodies and Immunoblot Analysis\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eWith reference to a previous description, synthetic peptides were designed to produce seven types of polyclonal anti-glutelin antibodies (anti-GluA-1, anti-GluA-2, anti-GluB-1, anti-GluB-2, anti-GluB-4/5, anti-GluC-1, and anti-GLUD-1) based on variable regions (Kawakatsu et al. \u003cspan class=\"CitationRef\"\u003e2008\u003c/span\u003e; He et al. \u003cspan class=\"CitationRef\"\u003e2013\u003c/span\u003e; Takahashi et al. \u003cspan class=\"CitationRef\"\u003e2019\u003c/span\u003e) (Table S6). The antibodies were prepared from rabbits by injecting corresponding synthetic peptides (Bioconsumable Biotechnology Co., Ltd, Beijing, China). Afterward, we used the corresponding synthetic peptide conjugated columns to purify polyclonal antibodies from rabbit serum by affinity chromatography, classified and stored the antibodies at \u0026minus;\u0026thinsp;80\u0026nbsp;\u0026deg;C until required.\u003c/p\u003e\n\u003cp\u003eDeveloping seeds at 3, 5, 7, 9, 11, 13, 17, 21, and 25 DAF were sampled for immunoblot analyses as described previously (Kawakatsu et al. \u003cspan class=\"CitationRef\"\u003e2008\u003c/span\u003e). The intensities of protein gel blot bands were evaluated using Bio-Rad Quantity One imaging software (Bio-Rad, Hercules, CA, USA). Relative accumulation levels of proteins were calculated from the immunoblot band intensities on X-ray films using Image J software.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eRNA Extraction and qRT-PCR\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eTotal RNA was extracted from developing seeds (5, 7, 9, 11, 13, 17, 21, and 25 DAF) using a plant RNA extraction kit (TaKaRa, Dalian, China; \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://www.takarabiomed.com.cn/\u003c/span\u003e\u003c/span\u003e) as a template. The first strand of cDNA was synthesized using a reverse transcription kit with olig (dT)-primer and then amplified by PCR (TaKaRa, Dalian, China). We designed several pairs of specific primers used for storage protein genes, ER-stress response genes, and internal reference genes (Actin and Ubiquitin) for qRT-PCR analyses (Table S7). qRT-PCR analyses were performed using SYBR Premix Ex Taq kit (TaKaRa, Dalian, China), a CFX real-time PCR system and system software (Bio-Rad, Hercules, CA, USA), according to the manufacturer\u0026rsquo;s instructions. Each seed RNA was extracted from at least three individual plants. Three independent groups of RNA samples were extracted from developing seeds collected at different periods for qRT-PCR analyses. Three technical replicates of each biological replicate were used for each sample. The melting curves at the end of each reaction were analyzed to ensure specificity of PCR products.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eHistological analysis of semi-thin sections\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eHusks were removed manually from developing rice seeds collected at 17 DAF and the seeds sectioned transversely into 1\u0026ndash;2\u0026nbsp;mm slices, and fixed immediately in glutaraldehyde solution (2.5% glutaraldehyde, 0.1\u0026nbsp;M phosphate buffer [pH 7.3]) for 24\u0026nbsp;h. Dehydration, embedding, and slicing of the samples were performed as described previously (Wu et al. \u003cspan class=\"CitationRef\"\u003e2016\u003c/span\u003e). Two staining methods were used to examine the structures of semi-thin sections (1.25\u0026nbsp;\u0026micro;m). First, the sections were stained with PAS reagent, and counter-stained with 0.1% (w/v) CBB for 15\u0026nbsp;min as described previously (Wu et al. \u003cspan class=\"CitationRef\"\u003e2016\u003c/span\u003e). In addition, the sections were dyed to a metallic color with Toluidine blue, washed three times with double distilled water and dried on a baking board. Photographs were taken using a Nikon microscope (Eclipse 80i; Nikon, Tokyo, Japan).\\\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eSEM and TEM\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eImmature seeds at 17 DAF and mature seeds at 25 DAF from diploid and tetraploid rice were harvested and fixed overnight in 2.5% glutaraldehyde in 0.1\u0026nbsp;M phosphate buffer (pH 7.3) at 4 \u0026ordm;C (Saito et al. \u003cspan class=\"CitationRef\"\u003e2012\u003c/span\u003e). SEM and TEM were performed as described previously (Wang et al. \u003cspan class=\"CitationRef\"\u003e2010\u003c/span\u003e; Saito et al. \u003cspan class=\"CitationRef\"\u003e2012\u003c/span\u003e).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eProteomic Analysis\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eHarvested mature seeds were immediately stored at \u0026minus;\u0026thinsp;80\u0026nbsp;\u0026deg;C until required. Three biological replicates of mature seeds from 9311-2x and 9311-4x were pooled for TMT analyses. Rice seeds were ground into fine powder in liquid nitrogen. Protein extraction was performed in a lysis buffer (Roche) according to the manufacturer\u0026rsquo;s instructions and stored overnight at \u0026minus;\u0026thinsp;20\u0026nbsp;\u0026deg;C. Protein concentration was determined using an enhanced BCA Protein Assay Kit (P0010; Beyotime Biotechnologies, Ltd., Beijing, China) according to the manufacturer\u0026rsquo;s instructions. Each protein sample (200\u0026nbsp;\u0026micro;g) was digested with trypsin overnight at a trypsin-to-protein ratio of 1:100 and subsequently desalted by elution from a Strata-X C18 SPE column (Phenomenex, Torrance, CA, USA), and vacuum dried. The peptides were reconstituted in 0.5\u0026nbsp;M triethylammonium bicarbonate buffer, and each sample was labeled using 2-plex TMT kit (Frankfurt am Main, Germany) according to the method described in a previous study (Zhang et al. \u003cspan class=\"CitationRef\"\u003e2017\u003c/span\u003e). After labeling, individual TMT 2-plex samples were mixed and diluted into 0.1% trifluoricacetic acid, followed by loading on a MacroSpin Vydac C18 reverse phase mini-column (The Nest Group Inc., Southborough, MA, USA).\u003c/p\u003e\n\u003cp\u003eLiquid chromatography-tandem mass spectrometry (MS/MS) analyses for TMT-labeled samples were performed using a Q Exactive\u0026trade; Orbitrap mass spectrometer (Thermo Fisher Scientific, San Jose, CA, USA) coupled to an EASY-nLC 1000 (Thermo Fisher Scientific, San Jose, CA, USA). Peptide identification and quantification was performed by searching the MS/MS spectra data against an assembly data file using the Mascot 2.2 and Proteome Discoverer\u0026trade; 1.4 (Thermo Fisher Scientific, San Jose, CA, USA). A unique protein with at least two unique peptides that had a false discovery rate\u0026thinsp;\u0026lt;\u0026thinsp;0.0160 was used for data analyses. Protein quantification was based on the total intensity of assigned peptides. An average of eight labeled sample mixes was used as a reference and was based on a weighted average of the intensity of reported ions in each peptide identified. Final protein ratios were normalized to the median average protein content of the 8-plex samples. Fold change values (FC)\u0026thinsp;\u0026gt;\u0026thinsp;1.2 for upregulated or FC\u0026thinsp;\u0026lt;\u0026thinsp;0.83 for downregulated proteins were set as the threshold for identifying differentially expressed proteins.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eStatistical Analysis\u003c/strong\u003e\u003c/p\u003e\n\u003cdiv id=\"Sec14\" class=\"Section2\"\u003e\n\u003cp\u003eAt least three biological replicates were used for the analyses of each treatment and control group. Amino acids, protein content, and fresh and dry weights were analyzed using MS Excel (Microsoft Corp., Redmond, WA, USA) and SPSS 17.0 (SPSS Inc., Chicago, IL, USA). Data were analyzed by one-way analysis of variance and the means were compared by least significant difference test at 5% probability level.\u003c/p\u003e\n\u003c/div\u003e"},{"header":"Abbreviations","content":"\u003cp\u003eCBB:Coomassie brilliant blue; DAF: Days after flowering; ER: Endoplasmic reticulum; LM: Light microscopy; PAS: Periodic acid-Schiff; PBs: Protein bodies; PB-II: protein body II; PCR: Polymerase chain reaction; PDI: Protein disulfide isomerase; PMeS: polyploid meiosis stability; PSV: Protein storage vacuole; qRT-PCR: Quantitative Real-Time PCR; RAP: Rice annotation project; SDS-PAGE: Sodium dodecyl sulfate-poly acrylamide gel electrophoresis; SEM: Scanning microscope; SSPs: Seed storage proteins; TEM: Transmission electron microscopy; TMT: Tandem Mass Tags; WGD: Whole-genome duplication\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u003cstrong\u003eAcknowledgements\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eWe are grateful to Prof. HanLai Zeng, and Dr. Ying He (College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, 430070, China) for providing antibodies to \u003cem\u003eGLUA-1, GLUB-2, GLUB-4/5\u003c/em\u003e. We thank International Science Editing (http://www.internationalscienceediting.com) for editing this manuscript.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAuthors\u0026rsquo; Contributions\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eLG designed and carried out the experiments. LG and YCH analyzed results and wrote the manuscript. BSH performed the Proteomics experiment and analyzed the proteomic data. ZJS and XHZ were responsible for plant materials and nursery maintenance. YCZ and SC contributed to making figures and tables. YJZ, LQT, ZSW, LXY and XBL provided important help for molecular experiments and data analyses. DTC provided many suggestions and revised the manuscript. The authors read and approved the final manuscript.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eFunding\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThis project was supported by the Chinese National Natural Science Foundation (Grant Nos. 31960068), 2017 Hubei Science and Technology Department Innovation Team (CFA023), 2016 Wuhan Yellow Crane Talents (science) Foundation, the Open Research Fund of State Key Laboratory of Hybrid Rice (Hunan Hybrid Rice Research Center) and Wuhan Science and Technology Major Project \u0026ldquo;Development and application of polyploid rice (2016-2020)\u0026rdquo;.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAvailability of Data and Materials\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eAll data generated or analyzed during this study are included in this published article and its supplementary information files.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eEthics Approval and Consent to Participate\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eNot applicable.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConsent for Publication\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eNot applicable.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eCompeting Interests\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe authors declare that they have no competing interests.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAuthor details\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003csup\u003e1\u003c/sup\u003eState Key Laboratory of Biocatalysis and Enzyme Engineering, School of Life Sciences, Wuhan 430062, China. \u003csup\u003e2 \u003c/sup\u003eSchool of Chemistry \u0026amp; Environmental Engineering, Hanjiang Normal University, Shiyan 442099, China. \u003csup\u003e3 \u003c/sup\u003eWuhan Polyploid Biology Technology Co. Ltd, Wuhan 432200, China\u003c/p\u003e"},{"header":"References","content":"\u003cp\u003eBecraft PW, Yi G (2011) Regulation of aleurone development in cereal grains. J Exp Bot 5:1669\u0026ndash;1675.\u0026nbsp;https://doi.org/10.1093/jxb/erq372\u003c/p\u003e\n\u003cp\u003eCai DT, Yuan LP, Lu XG (2001) A New Strategy of Rice Breeding in the 21st Century Ⅱ. Searching a\u0026nbsp;New Pathway of Rice Breeding by Utilization of Double Heterosis of Wide Cross and Polyploidization. Acta Agronomica Sinica 27:110\u0026ndash;116\u003c/p\u003e\n\u003cp\u003eCai DT, Chen JG, Chen DL, Dai BC, Zhang W, Song ZJ, Yang ZF, Du CQ, Tang ZQ, He YC, Zhang DS, He CG, Zhu YG (2007) The breeding of two polyploid rice lines with the characteristic of\u0026nbsp;polyploid meiosis stability. Sci. China C Life 50:356-366. https://doi.org/10.1007/s11427-007-0049-6\u003c/p\u003e\n\u003cp\u003eChen L, Yuan Y, Wu JW, Chen ZX, Wang L, Shahid MQ, Liu XD (2019) Carbohydrate metabolism and\u0026nbsp;fertility related genes high expression levels promote heterosis in autotetraploid rice harboring double neutral genes. Rice 12:34. https://doi.org/10.1186/s12284-019-0294-x\u003c/p\u003e\n\u003cp\u003eChen ZJ (2010) Molecular mechanisms of polyploidy and hybrid vigor. Trends plant sci 2:57\u0026ndash;71.\u0026nbsp;https://doi.org/10.1016/j.tplants.2009.12.003\u003c/p\u003e\n\u003cp\u003eCho K, Lee HJ, Jo YM, Lim SH, Rakwal R, Lee JY, Kim YM (2016) RNA Interference-Mediated\u0026nbsp;Simultaneous Suppression of Seed Storage Proteins in Rice Grains. Front. Plant Sci 7:1624. https://doi.org/10.3389/fpls.2016.01624\u003c/p\u003e\n\u003cp\u003eComai L (2005) The advantages and disadvantages of being polyploid. 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Nature 473:97\u0026ndash;100.\u0026nbsp;doi:10.1038/nature09916\u003c/p\u003e\n\u003cp\u003eKawakatsu TJ, Yamamoto MP, Hirose S, Yano M, Takaiwa F (2008) Characterization of a new rice\u0026nbsp;glutelin gene GluD-1 expressed in the starchy endosperm. J Exp Bot 59:4233-4245. https://doi.org/10.1093/jxb/ern265\u003c/p\u003e\n\u003cp\u003eKawakatsu TJ, Yamamoto MP, Touno SM, Yasuda H, Takaiwa F (2009) Compensation and interaction\u0026nbsp;between RISBZ1 and RPBF during grain filling in rice. Plant J 59:908\u0026ndash;920. https://doi.org/10.1111/j.1365-313X.2009.03925.x\u003c/p\u003e\n\u003cp\u003eKawakatsu TJ, Hirose S, Yasuda H, Takaiwa F (2010) Reducing rice seed storage protein accumulation\u0026nbsp;leads to changes in nutrient quality and storage organelle formation. 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Plant Growth Regul\u0026nbsp;82:219\u0026ndash;232\u003c/p\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":true,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"rice","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"rice","sideBox":"Learn more about [Rice](http://thericejournal.springeropen.com)","snPcode":"12284","submissionUrl":"https://submission.nature.com/new-submission/12284/3","title":"Rice","twitterHandle":"@SpringerOpen","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"em","reportingPortfolio":"BMC/SO AJ","inReviewEnabled":true,"inReviewRevisionsEnabled":true},"keywords":"seed storage protein, glutelin, polyploidization, expression analysis, cytohistological analysis","lastPublishedDoi":"10.21203/rs.3.rs-109651/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-109651/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003e\u003cstrong\u003eBackground: \u003c/strong\u003ePolyploidy is an evolutionary trajectory in plants, which is prevalent in nature and confers advantages, such as robust growth, fruit enlargement, and enhancement of stress tolerance and nutrient content. Total protein and glutelin contents in tetraploid rice seeds increased significantly when compared with contents in diploid rice. Additionally, rice\u0026nbsp;is\u0026nbsp;not\u0026nbsp;only\u0026nbsp;a\u0026nbsp;food\u0026nbsp;resource\u0026nbsp;but\u0026nbsp;also\u0026nbsp;a\u0026nbsp;source\u0026nbsp;of\u0026nbsp;high-quality\u0026nbsp;protein. Therefore, enhancing glutelin by polyploidization is an attractive strategy for enhancing the nutritional value of rice seeds and presents a great potential for enhancing the commercial value of rice.\u003c/p\u003e\u003cp\u003e\u003cstrong\u003eResults: \u003c/strong\u003eTo enhance the nutritional value of rice, we developed tetraploid rice and evaluated the contents of various nutrient elements in mature seeds. The results revealed a significant increase in protein contents, including the total seed storage proteins, glutelins, and amino acids in tetraploid rice \u0026nbsp;when compared to those in diploid rice. Tandem mass tag-based quantitative proteomic analyses of seeds revealed that glutelins regulated by \u003cem\u003eGluA-1, GluA-2, GluA-3, GluB-2, GluB-4, GluB-5\u003c/em\u003e, and \u003cem\u003eGluD-1\u003c/em\u003e in 9311-4x were significantly up-regulated (≥ 1.5 fold), which were further verified by\u0026nbsp;immunoblot analyses. In addition, temporal expression patterns of various glutelin subunits in rice seeds with various ploidy levels were investigated to determine the effect of polyploidization on the synthesis and accumulation of glutelins. Quantitative real-time PCR and immunoblot analyses revealed that the expression patterns of glutelin genes in tetraploid rice (9311-4x) varied from those in diploid rice (9311-2x) at different filling stages, such as the initial time, duration, and relative levels of the genes. Cytohistological analyses revealed that the thickness of aleurone cell layers increased significantly by 32% in tetraploid rice, the structures of PSVs in sub-aleurone cells were more diverse and abundant than in diploid rice. \u003c/p\u003e\u003cp\u003e\u003cstrong\u003eConclusion: \u003c/strong\u003eGenome duplication influenced the molecular and cytological characteristics of rice seed, resulting in an increase in glutelin content and total storage proteins, which could provide \u003c/p\u003e\u003cp\u003enew insights into the enhancement of the nutritional quality of rice seeds by polyploid breeding.\u003c/p\u003e","manuscriptTitle":"Unique Glutelin Expression Patterns and Seed Endosperm Structure Facilitate Glutelin Accumulation in Polyploid Rice Seed","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2020-11-18 16:54:18","doi":"10.21203/rs.3.rs-109651/v1","editorialEvents":[{"type":"communityComments","content":0},{"type":"decision","content":"Major revision","date":"2021-03-09T00:00:00+00:00","index":"","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2021-03-06T00:00:00+00:00","index":2,"fulltext":"Recommendation: Reviewer's comments unavailable due to the journal's policy.\n"},{"type":"reviewerAgreed","content":"","date":"2021-02-28T00:00:00+00:00","index":2,"fulltext":""},{"type":"editorInvitedReview","content":"","date":"2020-12-31T00:00:00+00:00","index":1,"fulltext":"Recommendation: Reviewer's comments unavailable due to the journal's policy.\n"},{"type":"reviewerAgreed","content":"","date":"2020-12-17T00:00:00+00:00","index":1,"fulltext":""},{"type":"reviewersInvited","content":"","date":"2020-11-17T00:00:00+00:00","index":"","fulltext":""},{"type":"editorAssigned","content":"","date":"2020-11-13T00:00:00+00:00","index":"","fulltext":""},{"type":"checksComplete","content":"","date":"2020-11-12T23:00:00+00:00","index":"","fulltext":""},{"type":"editorInvited","content":"","date":"2020-11-12T23:00:00+00:00","index":"","fulltext":""},{"type":"submitted","content":"","date":"2020-11-11T00:00:00+00:00","index":"","fulltext":""}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"rice","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"rice","sideBox":"Learn more about [Rice](http://thericejournal.springeropen.com)","snPcode":"12284","submissionUrl":"https://submission.nature.com/new-submission/12284/3","title":"Rice","twitterHandle":"@SpringerOpen","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"em","reportingPortfolio":"BMC/SO AJ","inReviewEnabled":true,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"9c14063e-8922-4631-9f58-e8d67a8731f5","owner":[],"postedDate":"November 18th, 2020","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"published-in-journal","subjectAreas":[{"id":1120944,"name":"Plant Physiology and Morphology"},{"id":1120945,"name":"Plant Molecular Biology and Genetics"}],"tags":[],"updatedAt":"2021-08-17T16:12:56+00:00","versionOfRecord":{"articleIdentity":"rs-109651","link":"https://doi.org/10.1186/s12284-021-00500-0","journal":{"identity":"rice","isVorOnly":false,"title":"Rice"},"publishedOn":"2021-07-05 15:01:24","publishedOnDateReadable":"July 5th, 2021"},"versionCreatedAt":"2020-11-18 16:54:18","video":"","vorDoi":"10.1186/s12284-021-00500-0","vorDoiUrl":"https://doi.org/10.1186/s12284-021-00500-0","workflowStages":[]},"version":"v1","identity":"rs-109651","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-109651","identity":"rs-109651","version":["v1"]},"buildId":"FbvkV6FR0MCFSLy54lSbu","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}