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Starch Synthesis-Related Genes (SSRG) Evolution in the Genus Oryza

Cooking quality is an important attribute in Common/Asian rice (Oryza sativa L.) varieties, being highly dependent on grain starch composition. This composition is known to be highly dependent on a cultivar’s genetics, but the way in which their genes express different phenotypes is not well understood. Further analysis of variation of grain quality genes using new information obtained from the wild relatives of rice should provide important insights into the evolution and potential use of these genetic resources. All analyses were conducted using bioinformatics approaches. The analysis of the protein sequences of grain quality genes across the Oryza suggest that the deletion/mutation of amino acids in active sites result in variations that can negatively affect specific steps of starch biosynthesis in the endosperm. On the other hand, the complete deletion of some genes in the wild species may not affect the amylose content. Here we present new insights for Starch Synthesis-Related Genes (SSRGs) evolution from starch-specific rice phenotypes.


Introduction
Common rice (Oryza sativa L.) is a food of great importance worldwide, especially in Asian countries, where it is an important part of local culture. Being widely consumed and having different forms of preparation makes "quality" something different in each country around the world. Nevertheless, no matter what grain quality means, its demand is increasingly becoming a priority for international export markets worldwide.
Today, cooking has become one of the most important research components in several rice breeding programs, where characteristics such as amylose content (AC) and gelatinization temperature (GT), which have major effects on cooking quality (CQ) and consumption, are controlled by physicochemical properties of starch in rice grain endosperm [1].
The ratio of amylase to amylopectin as well as the structure of amylopectin itself can vary greatly between different rice genotypes [2]. Generally, grains with higher amylose content present a harder non-sticky texture after cooking, being preferred in several countries. Such feature is usually evaluated during grain development in different cultivars [3]. However, the genetic events that lead to this type of grain are not well understood, and genotypes that deliver such grains are not easily obtained. That is the reason it is so important to understand the behavior of grain-quality-related genes, which enable more efficient and precise breeding applications.
The 27 known Oryza species span over 15 million years of evolution which we can take advantage of, since it constitutes a rich source of genetic variation. Though a better understanding of the genomic differences between these species is essential for such purpose, the recent publication of the genomes of 13 rice species has opened the door to a series of new studies that make it possible to enrich the germplasm that can be used for breeding [4,5]. The possibility of using these wild species to improve grain quality should also be considered, but what would be the first genes to start such an analysis?
The answer to this question is directly linked to the formation of amylose and amylopectin, which are two types of polysaccharides that form starch granules, and both have very complex biosynthesis processes. The ratio of these polysaccharides has a major influence on the appearance and structure of starch granules and consequently affects the quality of food production and industrial applications [1,6]. Starch Synthesis-Related Genes (SSRGs) are involved in this complex starch biosynthesis process, and can be divided into four classes: ADP-glucose pyrophosphorylase (AGPase), starch synthase (SS), starch branching enzyme (SBE) and starch de-branching enzyme (DBE). A very simplified explanation can be described, and this begins in cytosol for synthesis of amylopectin, in which AGPase synthesizes ADP-glucose from Glc1P and ATP through AGPSs (AGPS2a), which plays a catalytic function, while AGPLs (AGPL1, AGPL3, AGPL4) are mainly responsible for modulating the allosteric regulatory properties [7,8]. Already in plastid, the elongation of glucan chains occurs through 8 SS enzymes: SSI plays a role in short chains; SSII1/2/ALK in medium chains; SSIII1/2 in long chains; and SSIV1/2 in terminal chains for formation of 1,4-α-D-glycosyl [9,10]. Meanwhile, the other SS enzymes, GBSSII and Waxy, synthesize amylose (10). After the formation of 1,4-α-D-glycosyl, the enzymes from SBE class, SBE1 and SBE3 [9], work by branching the chains until the formation of 1,6-α-D-glycosyl. From there, the enzymes from DBE class-PUL [11], ISA [12] and DPE1 [13]-de-branch short external chains of glucans and also influence the activity of α-amylase and β-amylase [6].
In the first studies with SSRGs, it was identified that the Waxy gene (Granule-bound starch synthase I-from SS class) is directly involved with AC [13], while ALK (Starch synthase II-3-from SS class) is involved with TG [9]. The following studies contributed to the understanding that each SSRG is involved with one of the main starch-related quality characteristics (AC, GT, CQ) [9]. Despite this, it is also known that all SSRGs act in a coordinated way, forming a fine regulatory network in which the absence or change in the performance of a gene can ultimately lead to grain malformation [6,14], making it difficult to predict the nature of the starch resultant from biotechnological modifications. This makes it necessary to gain more in-depth knowledge about each of these genes through Targeted and Open-Ended Approaches [15]. Some of these have already been studied in some rice genotypes, achieving high-amylose content by: (1) transgenic knockdown of SBEI, SBEIIa and SBEIIb [16]; (2) CRISPR/Cas9-Mediated targeted mutagenesis of Starch Branching Enzymes [17]; (3) editing of rice isoamylase gene ISA1 [18]; and (4) downregulating of SSII2 caused lower AC in the endosperm [19]. Despite that, many studies regarding the variation of isozyme show that some variations in gene structure may not be so beneficial, mainly the non-synonymous substitutions that can affect the active domain of the isozyme. As presented through TILLING, in which mutations in the region of the exon 9/intron and exon 10 caused AGPL subunit (AGPase class), mutants severely shriveled with low weight and starch content [7].
Considering the importance of SSRGs in the control of CQ and the limited exploration of the information recently made available to the scientific community on Oryza genomes, an evolutionary analysis is needed to reveal the role of adaptive mechanisms before and after rice domestication. It will thus help to understand the complexity of the evolution of enzymes involved in the starch synthesis pathways, and further provide the basis for approaches that can generate new phenotypes through new strategies to modify starch synthesis. We therefore selected a set of SSRGs according to Zeng et al. [20], to explore further provide the basis for approaches that can generate new phenotypes through new strategies to modify starch synthesis. We therefore selected a set of SSRGs according to Zeng et al. [20], to explore their molecular evolution across the genus Oryza in which we observe differences in the structure of genes and proteins that can imply changes in the content of amylose and amylopectin. Table S1 presents all SSRGs identified in 11 Oryza species and Leersia perrieri, which is the nearest outgroup of the genus Oryza.

AGPase Subunits
The phylogenetic tree of the ADP-glucose pyrophosphorylase (AGPase genes), which includes both large (AGPL1, AGPL3, AGPL4) and small (AGPS2a) subunits, identified 48 genes across the Oryza and the outgroup (L. perrieri), which revealed three different groups (Figures 1 and 2). The first group is formed by the AGPS2a genes with both large exon and intron structures ( Figure 2B). This group is believed to have the highest similarity to the ancestor of every Oryza AGPase gene. O. meridionalis (AA) also contains the same large exon structure in the second group formed by AGPL4 and, likewise, in the third clade which is a mixture formed by AGPL3 and AGPL1, respectively ( Figure 2A). Positive selection pressure was identified in the AGPS2a gene ( Figure 2B). The conserved motifs of the four analyzed AGPase subunits form a signature pattern, revealing that motifs 9 and 10 are not detectable in the NTP transferase domain of AGPS2a; the same occurs for motifs 8 and 9 in AGPL4; 7, 8 and 9 in AGPL1; and 3, 6, 8 and 9 in AGPL3, which are not found in some Oryza species ( Figure 2C,D). Positive selection pressure was identified in the AGPS2a gene ( Figure 2B). The conserved motifs of the four analyzed AGPase subunits form a signature pattern, revealing that motifs 9 and 10 are not detectable in the NTP transferase domain of AGPS2a; the same occurs for motifs 8 and 9 in AGPL4; 7, 8 and 9 in AGPL1; and 3, 6, 8 and 9 in AGPL3, which are not found in some Oryza species ( Figure 2C,D). Recombination analysis based on the alignment does not show any evidence of recombination in the AGP partition. On the other hand, positive selective pressure (dN/dS > 1) was detected in some sites of sequence alignments, suggesting diversifying selection ( Figure S1).
In relation to gene position, all Oryza species have AGPS2a positioned in Chr. 8; of note, we observed that OMERAGPS2A and ONIVAGPS2A are located on two different chromosomes (i.e., Chr. 9 and Chr. 4, respectively (Figure 1)). Possible differential Mobile Element Insertion (MEI) events related to these loci was investigated, a region of 50 kb upand downstream of these genes were aligned, showing high similarity between OMERAGPS2A (AA) to AGPS2a of other species, which means that this change in position probably did not occur through transposable element (TE) insertion ( Figure S2).

Starch Synthesis (SS) Genes
A total of 92 protein coding starch synthase (SS) genes (SSI, SSII1, SSII2, ALK, SSIII1, SSIII2, GBSSII, Waxy, SSIV1 and SSIV2) were found across the 12 genomes data set, while its phylogenetic analysis allowed the identification of nine different clades based on sequence similarity. Clades I, II, III, IV, V, VI, VII, VIII and IX typically represent SSIV1, SSI, Waxy, SSIII1, SSIII2, GBSSII/ALK, SSII2, SSII1 and SSIV2, respectively (Figures 1 and  3). Recombination analysis based on the alignment does not show any evidence of recombination in the AGP partition. On the other hand, positive selective pressure (dN/dS > 1) was detected in some sites of sequence alignments, suggesting diversifying selection ( Figure S1).
In relation to gene position, all Oryza species have AGPS2a positioned in Chr. 8; of note, we observed that OMERAGPS2A and ONIVAGPS2A are located on two different chromosomes (i.e., Chr. 9 and Chr. 4, respectively (Figure 1)). Possible differential Mobile Element Insertion (MEI) events related to these loci was investigated, a region of 50 kb up-and downstream of these genes were aligned, showing high similarity between OMERAGPS2A (AA) to AGPS2a of other species, which means that this change in position probably did not occur through transposable element (TE) insertion ( Figure S2).
Some genes that have long exons near the 5 or 3 UTRs, as observed in few SS proteins of L. perrieri, O. longistaminata, O. brachyantha and O. meridionalis, seem to be ancestors of other species SSs ( Figure 3A   On the other hand, ISA, different from PUL, contains long and frequent introns in its gene structure; besides this, it also possesses every single motif that forms the formerly discussed protein signature ( Figure 4B,C). We identified an event in O. glaberrima where PUL ( Figure 1) is duplicated and translocated from Chr. 4 to Chr. 6 ( Figure S9). Recombination analysis was performed, but no recombination could be inferred ( Figure  S10). In addition to OMERSSIV1_2D, another recent duplication was identified in the O. meridionalis SSIII1 gene, but in this case both the original and duplicated copies look functional, containing all the motifs that are part of its characteristic domain. However, the large size of OMERSSIII1_1D (7844 bp longer than the original copy) is something that deserves more investigation, especially when we take into account the highly conserved profile of these genes ( Figure 3A-C). It is also important to notice that the same large domain occurs in duplicated copies of SSII2 and Waxy in the outgroup L. perrieri.
Some Oryza species and L. perrieri show changes in chromosome position of the SS genes relative to O. sativa (Figure 1), such as OMERSSII1 from Chr. 10 to 4 ( Figure S3), OMERSSII2 from Chr. 2 to 6, ONIVSSII2 from Chr. 2 to 6 ( Figure S4) and OLONSSIV2 from Chr. 5 to 9 ( Figure S5). An alignment analysis shows that, for OMERSSII1 and OMERSSII2, the change did not occur through a differential TE insertion, since an analysis of 50kb upstream and downstream of each gene shows a lack of or just partial synteny (fragments from approximately 40 Kb) between the other Oryza loci. In case of partial synteny, a significant presence of TEs in this region was not identified using that with RiTE-DB. Interestingly, OMERSSII2 contains an inverted region of 50 kb that denotes an unusual rearrangement by translocation and inversion of blocks up-and downstream of the gene (Figures S3 and S4).
Recombination events are found in both ALK and Waxy gene copies ( Figures S6 and  S7), while for Waxy stronger evidence of breakpoints can be identified ( Figure S6). However, the same was not observed for the other SS copies, where 117 were found to be under positive selection ( Figure S8) with no recombination events detected.

De-Branching Enzymes (DBE)
The DBE (De-branching enzymes) genes are classified as DPE1, PUL and ISA. In total, 35 DBE genes were identified in Oryza and L. perrieri in the 12 genomes data set (Figures 1  and 4). The phylogenetic analysis showed that the DBE proteins can be grouped in two clades, one that comprises DPE1 (Group I) and the other consisting of a mixed group composed of PUL and ISA proteins (Group II) ( Figure 4A).

Starch Branching Enzymes (SBE)
In total, 24 SBE (Starch Branching Enzymes) genes were identified in Oryza and L. perrieri (Figures 1 and 5). According to the position of L. perrieri in the phylogenetic tree, SBEs are defined as a mixed clade, which presents a very conserved gene structure and protein signature that comprises SBE3 and SBE1 ( Figure 5A-C). Although the conserved motif analysis showed that motif 9 is not present in OPUNSBE3 and OMERSBE3, they contain many more exons than the SBE3s of other Oryza species ( Figure 5C). SBE proteins are characterized by a modular architecture composed of an N-terminal domain with a carbohydrate-binding module family 48 (CBM48), a central α-amylase DPE1, despite forming a conserved clade, presents some variations in its two subgroups. First, O. meridionalis (AA) shows the longest gene structure, with more than eight exons, being the longest in its 5 UTR, something that contrasts with the usual short structure of DPE1 genes ( Figure 4B). Furthermore, OMERDPE1, OBARDPE1 and OLONDPE1 lack motif 9, which is part of glycoside hydrolase family 77 domain (Glico_transf_77), a domain responsible for cleaving the starch granule into smaller glucan molecules ( Figure 4C,D). On the other hand, ISA, different from PUL, contains long and frequent introns in its gene structure; besides this, it also possesses every single motif that forms the formerly discussed protein signature ( Figure 4B,C). We identified an event in O. glaberrima where PUL (Figure 1) is duplicated and translocated from Chr. 4 to Chr. 6 ( Figure S9). Recombination analysis was performed, but no recombination could be inferred ( Figure S10).

Starch Branching Enzymes (SBE)
In total, 24 SBE (Starch Branching Enzymes) genes were identified in Oryza and L. perrieri (Figures 1 and 5). According to the position of L. perrieri in the phylogenetic tree, SBEs are defined as a mixed clade, which presents a very conserved gene structure and protein signature that comprises SBE3 and SBE1 ( Figure 5A-C). Although the conserved motif analysis showed that motif 9 is not present in OPUNSBE3 and OMERSBE3, they contain many more exons than the SBE3s of other Oryza species ( Figure 5C).

AGPase Subunits
In Oryza and other plants, the AGPase protein subunit is characterized by a core region that is important for catalytic activity, called the nucleotidyl transferase domain (NTP transferase) that is important in providing the substrate for starch biosynthesis. The absence of specific motifs can affect the endosperm starch synthesis limiting the reaction converting Glucose 1-Phosphate (Glc-1-P) and Adenosine triphosphate (ATP) to ADPglucose and inorganic pyrophosphate (PPi) in amyloplasts, directly reflecting the control of carbon flux into the starch accumulation pathway, consequently causing a shrunken endosperm in rice [1,6,21].
The evolution of the subunits of ADP proteins in Oryza is notably different from that reported in the literature for counterparts in other plant species [22]. This is probably due to different rates of selective pressure between species, which makes even more complex the study of the diversification of AGPS2a ( Figure 2B).
In other plant species, such as dicots, the small subunits are under higher purification selection, thus remaining more conserved over time than the large subunits, which are primarily responsible for most of the diversification of AGPase genes [22,23]. The large   Figure 5D).
Positive selection can be seen through the alignment of these genes, with 64 sites undergoing a diversification process ( Figure S11), but no recombination events were detected.

AGPase Subunits
In Oryza and other plants, the AGPase protein subunit is characterized by a core region that is important for catalytic activity, called the nucleotidyl transferase domain (NTP transferase) that is important in providing the substrate for starch biosynthesis. The absence of specific motifs can affect the endosperm starch synthesis limiting the reaction converting Glucose 1-Phosphate (Glc-1-P) and Adenosine triphosphate (ATP) to ADPglucose and inorganic pyrophosphate (PPi) in amyloplasts, directly reflecting the control of carbon flux into the starch accumulation pathway, consequently causing a shrunken endosperm in rice [1,6,21].
The evolution of the subunits of ADP proteins in Oryza is notably different from that reported in the literature for counterparts in other plant species [22]. This is probably due to different rates of selective pressure between species, which makes even more complex the study of the diversification of AGPS2a ( Figure 2B).
In other plant species, such as dicots, the small subunits are under higher purification selection, thus remaining more conserved over time than the large subunits, which are primarily responsible for most of the diversification of AGPase genes [22,23]. The large subunits concentrate most of the positive selection, showing a great variability. However, in our results, when comparing the AGPase copies only inside Oryza genus, the opposite is observed. One explanation for this would be that in AGPase genes the large subunits concentrate most of the duplications [24]. However, Non-Homologous Recombination (NHR) cannot yet be ruled out, since both our data and previous reports indicate that NHR can be more frequent than MEI in Oryza species [25]. On the other hand, contrasting evolutionary patterns are expected between paralogues, and in the case of AGPase in Oryza, some duplications are already known and accompanied by a change in cell compartmentalization (from plastids to cytosol) and in their regulating properties [26].
In relation to gene position change, Non-Homologous Recombination (NHR) is likely to have occurred, placing this OMERAGPS2A large block (upstream + gene + downstream) in Chr. 9. The locus from O. nivara in Chr. 4 has only a small ortholog block that corresponds to the end of the upstream region and the start of the downstream region. Small up-and downstream fragments similar to specific LTR-TEs were found using the Rice Transposable Elements database (RiTE-db), but it is unlikely that these are responsible for a translocation event. As previously reported, the most frequent events responsible for changing copy number variations and gene position to other chromosomes are mediated by either transposable elements, through MEI or NHR, for both Oryza and Arabidopsis [23,27].

Starch Synthesis (SS) Genes
The phylogenetic analysis showed that, in most Oryza species, SS isoforms have undergone different degrees of gene duplication, something that is also observed in most plant species. Oryza clades I, IV, V, IX possess a different genetic origin from clades II, III, VI, VII and VIII and, since paralogous genes tend to slowly accumulate variations over time, it is easy to notice a large variation when we compare SS genes between these two clades [28][29][30][31]. The distinct spatial pattern of starch deposition within a caryopsis, which is also related to differences in the temporal expression pattern between early (SSIII1, SSII2, GBSSII) and late (ALK, SSIII2, Waxy) expressed genes [10], is probably the result of variations accumulated over time. Overall, the phylogenetic tree analysis reveals a highly conserved structure for both gene and amino acid sequences, suggesting a strong evolutionary relationship between species in each SS.
Taking into account that sequence variation in SSRGs have a great influence in rice amylose content, gelatinization temperature and amylopectin chain length [32], although important, it is hard to understand the roles of each SS isoform in each of the characters, due to the high sequence variation among these genes. Furthermore, it is even more complicated when we consider its diversity of genes in starch biosynthesis. The structural features of the genes and duplicated copies denote that wild Oryza species can be used as a rich source of variability that can improve starch quantity and quality, mainly through modifications of amylopectin synthesis chains [1].
Expressed specifically in the developing rice endosperm and leaves, SSIII 1 and 2 include three other repeated domains in addition to the starch synthase domain. An N-terminal Carbohydrate-Binding Module (CBM) domain is a contiguous amino acid sequence within a carbohydrate-active enzyme with carbohydrate-binding activity ( Figure  3C,D). Although no lack of protein motifs was observed that could affect the catalytic domain in SSIII, in O. sativa this domain synthesizes long chains, and a deficiency in Plants 2021, 10, 1057 9 of 15 SSIII1, that is, the second major enzyme [33], can indirectly enhance both the SS-I and GBSS-I gene transcripts. On the other hand, a survey of amino acid motifs of SS isoforms reveals that certain motifs are absent in certain Oryza species, as it is possible to notice in OsINDSSIV1, OLONSSIV1, OBARSSII2 and OMERSSII2, which are part of the two C-terminal domains. This may affect the catalytic performance of the chain-elongation reaction of α-1-4-glucosidic linkage, which can further complicate the interplay between SS, SBE and DBE [34,35].
Waxy is believed to be the main enzyme that controls high amylose content in Oryza species and, with GBSSII, presents tissue-specific expression in a complementary manner between endosperm and non-endosperm tissues, causing different characteristics with respect to amylose content, and branch length distribution in amylopectin [36]. Thus, the differential action of these two enzymes affects the final amylose content in the endosperm. Despite this, the absence of GBSSII (Table S1) does not influence the high content of amylose in the endosperm (about 35%) of O. meridionalis [37]. Despite the evolutionary advantage that the presence of the two enzymes (Waxy and GBSSII) confer for starch biosynthesis, Waxy enzymes without GBSSII seem to be enough for high amylose accumulation in Oryza endosperm, something that brings new perspectives for the improvement of this complex network [15,36,38].
On the other hand, the loss of SSIV2 in O. glaberrima during evolution does not eliminate the ability of chloroplasts in producing starch granules, since features in the N-terminal extension of SSIV enable the interaction with other proteins contributing to granule initiation. In Arabidopsis, when the SSIV glucosyl transferase domain is absent, a significant reduction of starch synthesis is observed [39,40].
The only SS genes that show evidence of having undergone recombination are ALK and Waxy. This agrees with previous reports, in which the diversification in SS genes was suggested to be driven by many duplication events instead of recombination events [41].

Debranching Enzymes (DBE)
DPE1 is a protein part of Group 1, which comprises enzymes that act in the initial phase of endosperm development [9], playing an important role in grain quality improvement programs [20]. A total absence of DPE1 was observed in O. nivara and O. brachyantha. Although there is not much clarity about the performance of DPE1 in Oryza chloroplasts, it is known that Arabidopsis plants lacking the plastidic DPE1 accumulate maltooligosaccharides (maltotriose-maltoheptaose), but not maltose, an important carbohydrate in starch formation [42].
Completely different from DPE1, regarding its phylogenetic position and structure, but also showing an important influence in the final portion of the starch synthesis pathway in Oryza, the enzymes PUL and ISA catalyze different reactions, but both have a conserved gene structure. Although they play unique roles in regulating the crystallization and degradation of starch, the enzymes have a close relationship in Oryza and share, as expected, the N-terminal O-Glycosyl hydrolase (CBM_48) and central domain alpha-amylase (Aamy), in which both degrade amylopectin. However, in some species like O. sativa v.g. japonica and O. longistaminata, there is still an absence of the C-terminal domain DUF_3372 domain ( Figure 4D), which characterizes the Pullulanase, and usually cleaves the α-1,6-linkages of polyglucans in pullulan. This absence may affect the final endosperm amylose content. The main gene that controls amylose is Waxy, but as starch synthesis is a fine regulatory network, together with other enzymes like PUL, AGPase, SSI, ALK, and SSIII2, they control the final content of amylose (AC). However, in the absence of pullulan degradation, the final starch content may be lower, and consequently the AC is lower as well [15]. Exactly what is perceived in the O. sativa ssp japonica genotypes is that they have amylose content around 10-22% (low AC) while O. sativa ssp indica show 18-32% (high AC) [43,44].
Regarding the events of changing gene positions in chromosome of DBE genes, NHR constitutes a relatively frequent event in Oryza genomes, one might think that MEI could also be the responsible for such duplication and translocation, since these events frequently generate syntenic failures between homologue chromosomes when comparing different species [45]. Here we show ( Figure S9) that it is not possible that MEI insertion could have occurred in these PUL genes. The same event could also have occurred in the other genes that have different chromosome positions (Figure 1). No recombination inference was found. However, 43 sites were observed to be under positive selection ( Figure S10) in DBE, ISA and PUL gene copies phylogeny. Both Nougué et al. [41] and Qu et al [6] reported DBE homologue diversification through the detection of strong positive selection over these genes, once again denoting the complex evolutionary history of starch biosynthesis pathway.

Starch Branching Enzymes (SBE)
Oryza species present multiple SBE isoforms, more than shown here, but these are the major genes involved in the synthesis of amylopectin [20]. In modular architecture, both C and N termini play important roles in determining the substrate preference, catalytic capacity and chain length transfer [46]. The importance of SBE1 in synthesis of B1, B2, B3 chains of amylopectin has been reported in rice mutants [47,48], while others show that SBE3 has a role in the synthesis of 1-6 branching linkage [49]. In Oryza, these two enzymes are in the same clade. Some residues of binding sites for maltopentaose and glucose were not conserved between SBEI and SBEII isoforms; however, these residues were mainly found in SBEIII, which seems to be the reason for such a close proximity between SBE1 and SBE3 in Oryza [6].

Identification of SSR Genes in the Oryza Genus
The Starch Synthesis-Related (SSRGs) used in this study were chosen according to Zeng et al., [22]. Initially, the SSRGs of O. sativa ssp. japonica were obtained through the RAP-DB (The Rice Annotation Project Database) (https://rapdb.dna.affrc.go.jp/index.html (accessed on 29 April 2021)). The similarity of these SSRGs of O. sativa ssp. japonica to sequences of other Oryza species was evaluated through the BLAST tool [50], available in the ENSEMBL PLANTS database (http://plants.ensembl.org/index.html (accessed on 29 April 2021)). Only SSRGs that had the high score (values > 0) associated with high coverage (values > 0) and low e-value (value ≤ 0) were selected for analysis (Table S1). Duplicated genes were identified with these same parameters but in this case in other locations in relation to the original gene. All genes and protein SSRG sequences are available in Supplementary Files S1 and S2.

Phylogenetic Analysis
The 19 resulting SSRGs were subjected to ClustalW [51] global alignment, generating an initial tree built through Neighbor-joining method [52] with 10,000 bootstrap replicates, with the aid of the Molecular Evolutionary Genetics Analysis 7-MEGA 7 [53] using the Gonnet matrix. The best replacement model was obtained through analysis in MEGA7. The appropriate model was selected for use in Bayesian analysis using Bayesian Evolution-ary Sampling Trees-BEAST [54] with 1,000,000 bootstrap replicates. The resulting tree was plotted in FigTree (http://tree.bio.ed.ac.uk/software/figtree/ (accessed on 29 April 2021)). Leersia perrieri was used as the outgroup. The ratio between non-synonymous and synonymous substitutions (dNS/dS) for each SSRG was estimated using the Single Likelihood Ancestor Counting (SLAC) method, to infer the evolutionary force at work in each Open Reading Frame (ORF). The MEME test (Mixed Effects Model of Evolution) was applied to detect branches that are proportionally in higher positive selection pressure based in the Likelihood ratio test for episodic diversification (LRT). To evaluate the presence of recombination in each gene partitions used in this study, the Genetic Algorithm for Detection of Recombination (GARD) was applied; such recombinant sequences can cause misinterpretation in the phylogenetic relationships because recombination selection inference often leads to a significant increase in false positives. All analyses are available at Datamonkey [55] with p-value threshold of 0.1. The AUGUSTUS annotation software [56] was used to construct the structure of SSRGs and for GSDS 2.0 visualization [57]. The identification of the SSRG protein motifs was performed using Multiple Motif In Elicitation version 4.11.1 (MEME; http://meme-suite.org/tools/meme (accessed on 29 April 2021)) [58], considering the maximum number of motifs equal to 10. Protein domain analysis was performed in SMART database (http://smart.embl-heidelberg.de/ (accessed on 29 April 2021)) [59].

Translocation Event Analysis
To understand the origin of ONIVAGPS2a, ONIVISA, ONIVPUL, ONIVSSII2, OGLAPU L_2D, OMERAGPS2a, OMERISA, OMERSSII1, OMERSSII2, OLONAGPL4 and OLONSSIV2, which could have occurred due to translocation events, we performed the alignment of regions corresponding to 50 Kb upstream and 50 Kb downstream from these genes in all the analyzed Oryza species, using Mauve [60]. We also used the RiTE database [61] to verify if this possible event occurred due to the translocation of transposable elements (TEs).

Chromosome Position Analysis
A circular MapChart-based plot was created in which the location of each gene can be seen. For the correct positioning of the gene of each species on the respective single/common chromosome, a simple percentage calculation was performed in order to establish a proportion relation when comparing the location of the genes in homoeologous chromosomes, according to the following equation: gene location(bps) × 100 chr size(bps) = Relative position of the gene

Conclusions
In summary, we identified and characterized SSRG homologs in the wild relatives of Price. Using phylogenetics and comparative genomics analyses we offer insights for the use of their gene variations in plant breeding. We confirmed the relative conservation of SSRGs between species within the AA-, BB-and FF-genomes, but structural analysis of these proteins suggest that deletions/mutations of amino acids in some active sites can result in structural variation that may negatively affect specific phases of starch biosynthesis. Direct modification of the endosperm, as usually observed in O. sativa ssp. japonica, which possesses lower AC, can likely be related to the absence of PUL C-terminal domain. The complete deletion of some genes appears not to affect the final composition of starch in the endosperm, as observed for GBSSII in O. meridionalis, SSIV2 in O. glaberrima, and DPE1 in O. brachyantha and O. nivara.
The analysis of structural features points to both absence of and duplicated copies of some motifs that can modify metabolic activity, denoting that the use of different Oryza species can be a rich source of variability for starch-targeted improvement in rice. These genes should now be further investigated by phenotyping different mutants and through the characterization of starch content of both wild Oryza genotypes and near isogenic lines (NILs) of O. sativa containing introgressions of these wild relatives. Such an analysis will help us to reveal the role of each variation of these genes, thereby contributing greatly to the simplification of the improvement processes that involve this complex path.
Supplementary Materials: The following are available online at https://www.mdpi.com/article/ 10.3390/plants10061057/s1, Table S1: Table S1. Full information about each of the Starch Synthesis-Related Genes (SSRGs) analyzed. Figure S1: Positive selection and Mixed Effects Model of Evolution (MEME) in AGPS-AGPL genes. A total of 34 sites were found under positive/diversifying selection based in the Likelihood ratio test statistic for episodic diversification (LRT). Figure S2: Alignment of the promoter region (1500 bps upstream) of AGPS2a genes, showing possible translocation events between ONIVAGPS2a and OMERAGPS2a. Figure S3: Alignment of the promoter region (1500 bps upstream) of SSII1 genes, showing possible translocation events between OMERSSII1 and other Oryza species. Figure S4: Alignment of the promoter region (1500 bps upstream) of SSII2 genes, showing possible translocation events between OMERSSII2 and ONIVSSII2 and other Oryza species. Figure S5: Alignment of the promoter region (1500 bps upstream) of SSIV2 genes, showing possible translocation events in OLONSSIV2 and other Oryza species. Figure S6: Genetic Algorithm for Recombination Detection (GARD) for Waxy genes. Comparing the AICc score of the best fitting GARD model, that allows for different topologies between segments (21,426.8), and that of the model that assumes the same tree for all the partitions inferred by GARD the same tree, but allows different branch lengths between partitions (21,430.9) suggests that because the multiple tree model cannot be preferred over the single tree model by an evidence ratio of 100 or greater, some or all of the breakpoints may reflect rate variation instead of topological incongruence. Figure S7: Genetic Algorithm for Recombination Detection (GARD) for ALK genes. Comparing the AICc score of the best fitting GARD model, that allows for different topologies between segments (32,200.2), and that of the model that assumes the same tree for all the partitions inferred by GARD the same tree, but allows different branch lengths between partitions (32,211.2) suggests that because the multiple tree model can be preferred over the single tree model by an evidence ratio of 100 or greater, at least of one of the breakpoints reflects a true topological incongruence. Figure S8: Positive selection and Mixed Effects Model of Evolution (MEME) in SS genes. A total of 117 sites were found under positive/diversifying selection based in the Likelihood ratio test statistic for episodic diversification (LRT). Figure S9: Alignment of the promoter region (1500 bps upstream) of PUL genes, showing possible translocation events in OGLAPUL_2D and other Oryza species. Figure S10: Positive selection and Mixed Effects Model of Evolution (MEME) in DBE, ISA and PUL genes. A total of 117 sites were found under positive/diversifying selection based in the Likelihood ratio test statistic for episodic diversification (LRT). Figure S11: Positive selection and Mixed Effects Model of Evolution (MEME) in SBE genes. A total of 46 sites were found under positive/diversifying selection based in the Likelihood ratio test statistic for episodic diversification (LRT). File S1: Sequence of all SSRGs used in this study.