Abstract
In plants, myo-inositol-1,2,3,4,5,6-hexakisphosphate (InsP6), also known as phytic acid (PA), is a major component of organic phosphorus (P), and accounts for up to 85% of the total P in seeds. In rice (Oryza sativa L.), PA mainly accumulates in rice bran, and chelates mineral cations, resulting in mineral deficiencies among brown rice consumers. Therefore, considerable efforts have been focused on the development of low PA (LPA) rice cultivars. In this study, we performed genetic and molecular analyses of OsLpa1, a major PA biosynthesis gene, in Sanggol, a low PA mutant variety developed via chemical mutagenesis of Ilpum rice cultivar. Genetic segregation and sequencing analyses revealed that a recessive allele, lpa1-3, at the OsLpa1 locus (Os02g0819400) was responsible for a significant reduction in seed PA content in Sanggol. The lpa1-3 gene harboured a point mutation (C623T) in the fourth exon of the predicted coding region, resulting in threonine (Thr) to isoleucine (Ile) amino acid substitution at position 208 (Thr208Ile). Three-dimensional analysis of Lpa1 protein structure indicated that myo-inositol 3-monophosphate [Ins(3)P1] kinase binds to the active site of Lpa1, with ATP as a cofactor for catalysis. Furthermore, the presence of Thr208 in the loop adjacent to the entry site of the binding pocket suggests that Thr208Ile substitution is involved in regulating enzyme activity via phosphorylation. Therefore, we propose that Thr208Ile substitution in lpa1-3 reduces Lpa1 enzyme activity in Sanggol, resulting in reduced PA biosynthesis.
Introduction
In most cereal crops, myo-inositol-1,2,3,4,5,6-hexakisphosphate (InsP6), also known as phytic acid (PA), is considered a major source of phosphorus (P) available in the form of phytate, and accounts for 65–85% of the total P in seeds [1]. Monogastric animals poorly digest PA, as they lack the phytase enzyme, which is responsible for the release of phosphate residues [2]. PA is an efficient chelator of mineral cations, such as zinc (Zn2+), iron (Fe2+), magnesium (Mg2+), potassium (K2+), and calcium (Ca2+), in the nutritional tract. Because of these attributes, PA is considered as an antinutrient [3, 4]. Hence, there is a need to develop low PA (LPA) crop cultivars to maximize the nutritional benefits of grains.
Mutants associated with the LPA phenotype have been identified in several crop plants including maize (Zea mays) [5, 6], barley (Hordeum vulgare) [7], soyabean (Glycine max) [8], rice (Oryza sativa) [9], and wheat (Triticum aestivum) [10]. Although, LPA mutants are identified primarily on the basis of percentage reduction of PA and high inorganic P (Pi) content in seeds [5, 11], some mutants show a significant accumulation of myo-inositol and inositol phosphate [Ins(1,3,4)P3 5-/6] intermediates in seeds [12, 13].
Previously, the LPA phenotype of seeds has been associated with reduced agronomic performance of mutant crop plants in the field [5, 14]. It is important to understand the genetic and molecular bases of reduced agronomic performance of LPA mutants for effective utilization in breeding programs. In addition, studies show that climate change and elevated carbon dioxide (CO2) levels negatively affect micronutrient bioavailability and total P in grains [15, 16]. Therefore, developing crop cultivars with increased micronutrient bioavailability in seeds and greater adaptability to environmental variations, by reducing the PA content in grains, is an important priority of breeding programs.
PA is biosynthesized via two different routes: lipid dependent and lipid independent [3, 17]. The lipid dependent pathway operates in all plant organs, whereas the lipid independent pathway is predominant only in seeds [13, 17, 18]. In the first step of PA biosynthesis, D-glucose-6-phosphate is converted to myo-inositol 3-monophosphate [Ins(3)P1] by myo-inositol 3-phosphate synthase (MIPS) [19]. This is followed by the sequential phosphorylation of specific inositol to InsP6 through the action of various inositol phosphate kinases (S1 Fig). However, enzymes involved in lipid independent PA biosynthesis, from Ins(3)P1 seem to be complicated and are not well understood [3]. Nevertheless, PA biosynthetic genes encoding other myo-inositol enzyme and inositol phosphate kinases are well documented in major plants [12, 13, 20, 21]. Additionally, biochemical and functional analyses of PA biosynthetic genes encoding Ins monophosphate kinase could address the missing steps in the lipid independent pathway.
In rice, several mutants with low seed PA content have been reported [14, 21–27]. Genetic studies of LPA mutants have shown that a single recessive gene is responsible for the LPA phenotype in rice and other crop plants [21, 22, 27, 28]. The first lpa gene encoding inositol 1,3,4-triskisphophate 5/6-kinase (ITPK5/6) was identified in maize, and designated as Lpa2. Subsequently, myo-inositol kinase gene Lpa3, and multidrug resistance protein (MRP) ATP binding cassette (ABC) transporter gene Lpa1 were identified [12, 13, 29]. In addition, reduction of PA content in Arabidopsis atipk2β mutant indicates the inositol 1,4,5-tris-phosphate (IPK2) kinase of lipid dependent pathway is also active the seeds [20]. In rice, OsLpa1 gene has been associated with the reduction in seed PA content and increase in seed Pi content, with little change in the total P content in seeds [22, 30]. OsLpa1 have homology with one gene, Os09g0572200 (OsLpa1 paralog) within the rice genome, suggests possible overlapping or redundant functions [22].
Genetic studies in rice have confirmed that a mutation in the OsLpa1 locus generates the LPA phenotype in seeds. Molecular characterization of LPA mutants has previously revealed three alleles of the OsLpa1 locus, including KBNT lpa 1-1, DR1331-2, and Os-lpa-XQZ-1, responsible for the low PA phenotype of seeds [22, 30]. In the present study, we report a novel allele of OsLpa1, OsLpa1-3, responsible for a significant reduction in the seed PA content in a new LPA mutant rice cultivar Sanggol developed in the Republic of Korea [31]. Sequence analysis of OsLpa1-3 revealed a point mutation in the gene coding sequence. Our data suggest that this mutation is responsible for the LPA phenotype of Sanggol mutant.
Material and methods
Plant material
The low PA mutant rice cultivar Sanggol derived from a japonica rice cultivar Ilpum mutagenized with N-methyl-N-nitrosourea (MNU) [31]. Ilpum was used as the wild type in comparing phenotypic data. Sanggol was crossed with Ilpum to develop F2 population. Segregation analysis was performed using the F2 population. Both parent cultivars and F2 individuals were grown in experimental fields of Seoul National University, Republic of Korea.
Agronomic trait analysis
To characterize agronomic traits, 15 phenotypic observations were recorded during various stages of plant growth, according to the Standard Evaluation System (SES) for rice, 2014. Yield data was obtained from “3.6 m X 3.6 m” plot size. All agronomic data were analyzed using the Student’s t-test in SPSS 16.0 (https://www.ibm.com/analytics/spss-statistics-software) to determine significant differences among Sanggol, and Ilpum cultivars.
Analysis of Pi and PA content in seeds
Concentrations of Pi and PA in seeds were examined using P31 nuclear magnetic resonance (P31 NMR) spectroscopy [32], with slight modifications.
Sample preparation
Fine powdered samples (1 g dry weight) of brown rice were thoroughly mixed with 10 mL of 2.4% HCl in 14 mL Falcon tubes. Samples were incubated at room temperature for 16 h on an HB-201SF shaker (HANBAEK Scientific Co) at 220 rpm, and subsequently centrifuged at 1,500 × g (combi 514R, Hanil science Inc.) at 10°C for 20 min. Crude extracts were transferred to a new 14 mL Falcon tube containing 1 g NaCl, and incubated at 25°C for 40 min on a shaker at 220 rpm to dissolve NaCl. Samples were allowed to settle at 4°C for 60 min, and then centrifuged at 1,500 × g at 10°C for 20 min.
31P NMR
For 31P NMR spectroscopy, samples were prepared by mixing 450 μL of NaCl treated acid extract with 450 μl of buffer containing 0.11mM EDTA-disodium salt and 0.75 mM NaOH, 40 mg NaOH, and 100 μL D2O in 1.5 mL microtubes. Sample and standard peaks were obtained on a 600 MHz spectrometer using Advance 600 31P NMR system (Bruker, Germany). PA sodium salt and 85% phosphoric acid were used as external standards for peak identification and further analysis [33, 34]. For internal calibration, 1 mM of phenylphosphonic acid was included in 100 μL D2O during NMR measurements. All standards were purchased from Sigma-Aldrich, USA.
To determine significant differences in seed PA and Pi contents among parents and F2 individuals, data were analyzed using the Student’s t-test in SPSS 16.0 (https://www.ibm.com/analytics/spss-statistics-software).
Expression analysis of PA biosynthetic genes
Genes involved in PA biosynthesis and transport were identified from the RAB-DB and from recent studies [25, 35, 36]. The rice microarray database, RiceX-Pro, shows different expression patterns of most of the PA biosynthetic genes in various tissues and organs [37]. To confirm the expression pattern of PA biosynthetic genes, spikelets were harvested from the wild cultivar Ilpum at 5 days after flowering (DAF), and total RNA was extracted using RNAiso Plus (Takara Bio, Japan). The extracted RNA samples were treated with RNase-free recombinant DNase Ι (Takara Bio, Japan) to eliminate genomic DNA contamination, and first-strand cDNA was synthesized using M-MLV reverse transcriptase (Promega, USA). The PA biosynthetic genes (200–550bp) were amplified from cDNA samples by reverse transcription polymerase chain reaction (RT-PCR) using gene-specific primers (Table 1) with the following conditions: initial denaturation at 95°C for 2 min, followed by 32 cycles of denaturation at 95°C for 20 s, annealing at 58°C for 40 s, and extension at 72°C for 1 min, and a final extension at 72°C for 5 min. The Actin gene was used as an internal control.
Sequence analysis
Genomic DNA and cDNA were isolated from young leaves and spikelets of Sanggol low PA mutant cultivar, respectively. Fragments of size 300bp-2000bp were amplified from the coding region and untranslated region (UTR) of 16 genes of lipid dependent and independent pathways using gene-specific primers designed with prime3 (http://bioinfo.ut.ee/primer3-0.4.0/) (S1 Table). The PCR products were purified using the DNA Purification Kit (Inclone, Korea), and analyzed with an ABI Prism 3730 XL DNA Analyzer (PE Applied Biosystems, USA). In addition, sequences of all 16 genes in Ilpum was downloaded from the crop molecular breeding lab server (http://nature.snu.ac.kr/rice/). Sequences were aligned using the Codon Code Aligner software (Codon Code Corporation, USA).
Candidate gene analysis
To confirm nucleotide polymorphisms in the candidate genes, validation primers were designed using Primer3 for cDNA sequencing (Table 2). The PCR products were purified using the DNA Purification Kit (Inclone, Korea), and analyzed with an ABI Prism 3730 XL DNA Analyzer (PE Applied Biosystems, USA). Sequences were aligned using the Codon Code Aligner software (Codon Code Corporation, USA). Simultaneously, BLAST search was performed using the predicted amino acid sequences of the candidate genes in the NCBI database (https://blast.ncbi.nlm.nih.gov/Blast.cgi), and deleterious amino acid substitutions were predicted using Provean web server with proven scores [38].
Expression analysis of Lpa and lipid dependent PA biosynthesis genes in Sanggol and Ilpum cultivars
Total RNA was extracted from the leaves at 15 days after germination (DAG) to analyze the expression of Lpa and lipid dependent pathway genes, and 5 DAF from spikelets to analyze the expression of OsLpa1 in Sanggol and Ilpum cultivars. For the expression analysis of OsLpa1 paralog and OsIpk2 genes, total RNA was extracted only from spikelets at 5 DAF. RNA extraction was performed as described above. The extracted RNA was subjected to RT-PCR using gene-specific primers (Table 3). The Actin gene was used as an internal control.
Derived cleaved amplified polymorphic sequence (dCAPS) analysis
Genomic DNAs were isolated from all 96 F2 plants derived from cross between Sanggol and Ilpum, and subjected to dCAPS analysis. The F2 genotyping primers (Table 2) were designed using dCAPS 2.0 (http://helix.wustl.edu/dcaps/) to validate a single nucleotide substitution (C to T) in the OsLpa1 gene in Sanggol cultivar, which generates a TaqI restriction site (TCGA) in the amplified PCR product. PCR was performed using the following conditions: initial denaturation at 95°C for 2 min, followed by 32 cycles of denaturation at 95°C for 20 s, annealing at 58°C for 40 s, and extension at 72°C for 30 s, and a final extension at 72°C for 1 min. The amplified PCR product was digested with TaqI restriction endonuclease (Promega, USA), and separated on 3% agarose gel.
Multiple sequence alignment and phylogenetic analysis
Amino acid sequences of the Lpa superfamily were obtained from the NCBI protein database (https://blast.ncbi.nlm.nih.gov/Blast.cgi?PAGE=Proteins), and subjected to multiple sequence alignment using the Clustal Omega program (https://www.ebi.ac.uk/Tools/msa/clustalo/). Multiple sequence alignment editing, visualization, and analysis was performed using Jalview 2.10.4 (http://www.jalview.org/). The Lpa and other superfamily proteins obtained from the NCBI protein database were used for phylogenetic analysis. Neighbour-joining tree was constructed using MEGA 7 [39] with 1,000 bootstrap replicates.
Biocomputational analysis
A three-dimensional (3D) model of Lpa1 protein was produced under the intensive mode of the Phyre2 server [40] (www.sbg.bio.ic.ac.uk/phyre2/html/). The ligand and cofactor were downloaded from the PubChem database (https://pubchem.ncbi.nlm.nih.gov/) for protein ligand analysis. Furthermore, auto docking and 3D model were analyzed using the CLC drug discovery workbench 4.0 (QIAGEN, Denmark). Putative phosphorylation sites were predicted with the GPS 3.0 server (http://gps.biocuckoo.org/) using high cut-off values ranging from 1.36 to 17.72.
Results
Agronomic characterization of Sanggol low PA mutant and Ilpum cultivars
Analysis of agronomic traits demonstrated a significant reduction in the plant height (cm), number of productive tillers, culm length (cm), first intermodal length (cm), 1,000-grain weight (g), number of spikelets per panicle, number of panicles per plant, and yield components of Sanggol compared with Ilpum (Table 4 and Fig 1A). By contrast, the number of days to 50% flowering was significantly higher in Sanggol than in the Ilpum, indicating delayed flowering in the mutant cultivar. In addition, Sanggol exhibited significantly higher percentage of chalky grains compared with the wild cultivar. However, no significant differences were observed between the two cultivars in morphological characteristics, such as secondary internodal length, grain length, grain width, panicle length, and spikelet fertility (Fig 1B and Fig 1C). Overall, these data indicate that Sanggol low PA mutant shows poor agronomic performance with respect to the flowering time, yield, and yield components compared with the Ilpum.
Determination of PA and Pi content in Sanggol and Ilpum seeds
To quantify PA and Pi content in seeds, brown rice extracts of Sanggol and Ilpum were analyzed via 31P NMR spectroscopy. Results showed that PA contents were significantly reduced (49% reduction), and Pi content was significantly increased in the seeds of Sanggol compared with Ilpum (Table 5). The 31P NMR analysis showed peaks analogous to standard (Fig 2A) for Pi and PA peak identification. Similarly, Pi and PA analogous peaks were observed for wild (WT) (Fig 2B), and mutant (lpa) (Fig 2C) types.
Additionally, PA and Pi amounts were also quantified among 96 F2 individuals using 31P NMR spectroscopy. Segregation analysis revealed that 77 F2 plants showed the wild-type phenotype, whereas 19 F2 plants showed the mutant phenotype (Table 6), and the phenotype segregation fitted a 3:1 ratio, suggesting that a single recessive allele controls the low PA in the seeds of Sanggol mutant cultivar.
Expression of PA biosynthetic gene and sequence analysis
To identify the gene responsible for reduced PA content in seeds, the candidate gene approach was followed. In rice, PA biosynthesis and accumulation begins after flowering [42, 43], and continues until 25 DAF during seed development [44]. Therefore, we extracted total RNA from ‘Ilpum’ spikelets at 5 DAF, and subjected it to RT-PCR analysis. Results showed that 15 genes in the PA biosynthesis pathway were expressed at 5 DAF (Fig 3). Further, we amplified and sequenced 16 genes involved in PA biosynthesis from sanggol and Ilpum cultivars (S1 Table).
Sequence analysis of PA biosynthetic genes revealed a single nucleotide polymorphism (SNP) in the OsLpa1 gene of Sanggol lpa mutant (Fig 4A); none of the other PA biosynthetic genes showed mutations in Sanggol lpa mutant. Previously, the OsLpa1 locus has been mapped to chromosome 2 [11], and narrowed down to a region less than 150 kb using microsatellite and sequence tagged site markers [45]. Further, the OsLpa1 has been characterized in lpa mutants of rice [22, 30]. The OsLpa1 gene encodes three expressed splice variants in rice [22, 35]. Sequence analysis of the OsLpa1 locus (position +1 to 2,058 bp; Genbank accession number: MH707666) showed a SNP (C623T) in the fourth exon of the largest splice variant, designated as OsLpa1-3.1, in Sanggol lpa mutant. Additionally, another SNPs (C53T) was identified in the first exon of the small splice variants, OsLpa1-3.2 and OsLpa1-3.3 (S2 Fig). Further, sequence analysis of OsLpa1-3.1 cDNA confirmed the presence of lpa1-3 allele in Sanggol mutant (Fig 4B).
To determine the expression of OsLpa1 splice variants in mutant and wild-type cultivars, we performed RT-PCR analysis of OsLpa1 gene at 15 DAG using total RNA isolated from leaves and spikelets at 5 DAF. Expression analysis revealed that both OsLpa1-3.1 and OsLpa1-3.2 were expressed at 15 DAG, with slightly different expression patterns, whereas OsLpa1-3.3 showed no expression at 15 DAG in both cultivars (Fig 5A), indicating that OsLpa1-3.1 and OsLpa1-3.2 play an important role in seedling growth. At 5 DAF, OsLpa1-3.1 showed strong expression in both Sanggol lpa mutant and wild cultivar Ilpum; however, OsLpa1-3.3 exhibited low expression in both cultivars, and OsLpa1-3.2 exhibited no expression in either cultivar, suggesting OsLpa1-3.1 as a candidate transcript responsible for the seed low PA phenotype of Sanggol mutant. Protein analysis of Lpa1 amino acid sequence predicted deleterious amino acid substitution changes threonine (Thr) to isoleucine (Ile) in OsLpa3.1 (Thr208Ile), with a -5.715 proven score. Similarly, deleterious amino acid substitution changes were observed in OsLpa3.2 and OsLpa3.3 (Thr18Ile), with -5.482 proven scores.
Additionally, expression of the OsLpa1 paralog, reported previously by Kim et al. [22], was investigated at 5 DAF in Sanggol lpa mutant and wild cultivars using RT-PCR. The OsLpa1 paralog exhibited strong expression in both Sanggol lpa mutant and wild cultivars (Fig 5B), suggesting that sequence variation in the coding region of OsLpa1 was responsible for the low PA content of Sanggol seeds. In addition, reduction of PA content in Arabidopsis atipk2β mutant indicates the IPK2 kinase of lipid dependent pathway is active the seeds [20]. We also ruled out the possibility for seed PA biosynthesis similar to Arabidopsis in Sanggol low PA mutant cultivar. However, our RT-PCR results showed no expression of OsIpk2, a key PA biosynthesis gene in the lipid dependent pathway (data not shown), suggesting that the lipid dependent pathway is not active in the Sanggol or Ilpum cultivar.
Next, we performed multiple sequence alignment of Lpa1 amino acid sequences of Sanggol and other major plant species. Results revealed an amino acid substitution in the conserved kinase domain in Sanggol (Fig 6A), thus showing the impact of a SNP in gene coding sequence. The kinase domain of Lpa1 shows weak homology with that of 2-phosphoglycerate kinase (2-PGK) found in hyperthermophilic methanogens [22]. However, there is structural similarity among the substrates and products of 2-PGK and Lpa1 [46].
Phylogenetic analysis revealed a strong relationship among the kinase proteins in the glycolysis and PA biosynthesis pathways. This suggests that Lpa proteins encoding Ins(3)P1 kinase are classified into the Lpa clade (Fig 6B).
Co-segregation analysis of low PA phenotype with lpa1-3 allele
A dCAPS assay was developed to determine the co-segregation of lpa1-3 allele with the low PA phenotype (Fig 7). A pair of dCAPS markers amplified a 192 bp PCR product. Digestion of this PCR product with TaqI yielded a 174 bp fragment in Sanggol, but an uncut fragment (192 bp) in Ilpum. Genotyping the F2 individuals using this dCAPS marker showed a segregation ratio, which was consistent with the expected ratio of 1:2:1 (Table 3). In addition, the dCAPS marker genotype co-segregated with the low PA phenotype in the F2 population. Statistical analysis using Student’s t-test revealed significant differences in the seed PA (S3 Fig) and Pi (S4 Fig) contents of Ilpum, Sanggol, and F2 individuals.
Biocomputational analysis
Structural analysis of Lpa1 using molecular docking of ligand and cofactors showed that Ins(3)P1 kinase was able to bind to the active site of Lpa1 protein, with ATP as a cofactor for catalysis (Fig 8A). Detailed view of the 3D protein model showed that Thr residue at amino acid position 208 was located in the kinase loop (Fig 8B) on the outer surface of the protein, adjacent to the entry site of the binding pocket, thus indicating its potential involvement in regulating the enzyme activity of Lpa1 protein. In addition, GPS 3.0 predicted Thr208 residue as a putative phosphorylation site, with a score of 9.66 above the cut-off value of 8.31. In previous studies, biochemical characterization of the regulatory mechanisms of various other metabolic enzymes has shown that amino acid substitutions are responsible for the reduction in enzyme activity of mutant proteins compared with wild-type proteins [47, 48]. Altogether, our results suggest that Thr208Ile amino acid substitution regulates the enzyme activity of Lpa1 protein via phosphorylation in Sanggol mutant cultivar.
Discussion
To date, several genes controlling PA biosynthesis have been reported in major crop plants [13, 20, 25, 28, 49–51]. The biosynthesis of PA proceeds via two major routes: a lipid dependent pathway, which operates in all plant tissues, and lipid independent pathway, which operates predominantly in seeds [3, 17]. In rice, molecular characterization of genes encoding MIPS, MIK, Lpa1, ITPK5/6, and IPK1 has revealed association with the low PA phenotype [21–25]. The first step of PA biosynthesis involves the conversion of D-glucose-6-phosphate to Ins(3)P1 by MIPS [19], which is followed by a series of phosphorylation steps, leading to the formation of InsP6 (S1 Fig). However, biochemical pathways leading to the conversion of Ins(3)P1 to InsP4, and the enzymes involved are very complex and not yet fully understood in plants [3].
Understanding the genetic basis of low PA phenotype is important for developing cultivars with low PA content in seeds. Therefore, we obtained the low PA mutant cultivar ‘Sanggol’ from Kangwon National University, Republic of Korea [31, 46]. In this study, Sanggol showed relatively poor agronomic performance compared with the wild cultivar Ilpum (Table 4). These results are in agreement with previous studies showing superior agronomic performance of wild cultivars compared with the low PA mutants [5, 14]. Edwards et al. [41] report an association between Lpa1 locus and grain chalkiness in rice. Similarly, the Sanggol showed high percentage of chalky grains compared with Ilpum, indicating that the low PA phenotype interacts with grain chalkiness. Thus, results of this study and previous studies suggest that the lpa allele plays an important role in determining the yield potential and seed quality of rice.
Phenotypic analysis using P31 NMR spectroscopy showed a significant reduction in PA content and an increase in Pi content in Sanggol seeds (Table 5). Expression analysis of PA biosynthetic genes in spikelets of the wild-type cultivar Ilpum at 5 DAF indicated that 15 genes from the lipid independent pathway were possibly responsible for the low PA content in Sanggol (Fig 3). Our data showed that a point mutation in the OsLpa1 locus was associated with low PA content in Sanggol seeds. Previous studies have also shown that rice low PA mutants exhibit a reduction in seed PA content because of SNPs [25, 30]. Candidate gene sequencing (Fig 4) and co-segregation analysis (Fig 7 and Table 6) confirmed that a new single recessive allele of Lpa1, designated as lpa1-3, was responsible for the low PA phenotype of Sanggol lpa mutant because of a C/T SNP located at nucleotide position 623 in OsLpa1, resulting in a single amino acid substitution (Thr208Ile). In a previous study, the japonica mutant ‘KBNT lpa1-1’ exhibited a 28% reduction in seed PA content because of a SNP (C/G to T/A), resulting in a nonsense mutation at amino acid position 409 whereas the DR1331-2 (lpa1-2) mutant showed a 48% reduction in seed PA content because of a single nucleotide deletion (T/A) at position 313, causing a frame shift mutation [22]. In addition, molecular characterization of the indica mutant ‘Os-lpa-XQZ-1’ shows the deletion of a 1,475 bp fragment in lpa1-1, resulting in a 38% reduction in seed PA content [30].
The OsLpa1 gene encodes three splice variants, all of which are expressed in seeds, suggesting that these variants play different roles in rice seed development [22, 35]. However, RT-PCR analysis of OsLpa1 locus revealed that OsLpa1-3.1 expression exhibited both vegetative and seed specificity, which indicates a major role of OsLpa1-3.1 in PA biosynthesis; however, OsLpa1-3.2 and OsLpa1-3.3 showed significant and dynamic changes at 15 DAG and 5 DAF, respectively (Fig 5A), suggesting that these variants play important roles in seedling growth and seed development, respectively. This finding is consistent with a previous study in rice [52]. Additionally, we investigated the expression of OsLpa1 paralog (Os09g0572200) and a IPK2 kinase is specific for the lipid independent pathway, OsIpk2 (Os02g0523800), in spikelets at 5 DAF, to provide an alternative explanation for the low level of PA in Sanggol mutant seeds. However, expression analysis suggests that the OsLpa1 paralog gene involved in PA biosynthesis in Sanggol (Fig 5B).
According to a previous study, OsLpa1 shows a weak homology to 2-PGK found in Methanothermus fervidus [22]. 2,3-bisphosphoglycerate (2,3-BPG), derived from 2-PGK, is a strong inhibitor of inositol polyphosphate 5-phosphatases [53]; thus, removing this inhibition may degrade inositol polyphosphate intermediates, causing a reduction in seed PA content in low PA mutants [22, 54]. Based on the structural similarity among substrates and products of OsLpa1 and 2-PGK, it is possible that Lpa1 protein functions as a kinase [3]. Additionally, our results revealed a single amino acid substitution (Thr208Ile) in the kinase domain of Lpa1 in Sanggol. The Lpa1 gene encodes Ins(3)P1 kinase, which phylogenetically groups with the Lpa clade. From the molecular docking analysis, it is evident that Ins(3)P1 binds to the Lpa1 protein, with ATP as a cofactor for catalysis (Fig 8A). Overall, these results suggest that Lpa1 protein functions as a kinase, and is probably involved in the conversion of Ins(3)P1 to myo-inositol 3,4-bisphosphate [Ins (3,4) P2].
In Arabidopsis, aspartic acid (Asp) to alanine (Ala) substitutions at amino acid positions 98 and 100 (Asp98Ala and Asp100Ala) in two genes encoding inositol polyphosphate kinases result in inactive enzymes and LPA phenotypes [55]. Similarly, analysis of phosphorylation deficient mutants in yeast and human shows decreased MIPS activity compared with wild- type because of amino acid substitutions at phosphorylation sites [48]. Several studies of various kinases and other metabolic enzymes show reduced enzyme activity of the mutant protein because of Thr and other amino acid substitutions at phosphorylation sites [47, 56–60]. Therefore, we speculate that a point mutation (C623T) causing Thr208Ile amino acid substitution in the loop adjacent to the entry site of the binding pocket of OsLpa1 is responsible for the altered enzyme activity of OsLpa1-3.1, resulting in reduced PA biosynthesis in Sanggol mutant seeds. Additionally, enzyme activity analysis is necessary to confirm the association of Thr208Ile substitution with the reduction in seed PA content in Sanggol low PA mutant cultivar.
Previous findings suggest that climate change and elevated CO2 levels negatively affect micronutrient bioavailability and total P in grains [15, 16]. However, rising CO2 levels are likely to increase the yield of rice crop because of the stimulation of photosynthetic rate [61]. A 1.2% increase in seed PA content under elevated CO2 conditions has been reported in rice [62]. In addition, crop plants need more P under elevated CO2 levels [63]. Soil P also exhibits a positive correlation with seed PA content in rice [64]. Limited information is available on how climate change affects seed PA content, and further studies are needed to avoid nutrient deficiencies. Reducing the seed PA content and increasing P uptake by crop plants should be a major focus of future crop breeding programs. The results of Sanggol mutant reported in this study will facilitate the development of new low PA lines with increased seed micronutrient bioavailability, high P uptake, better nutrition, and enhanced agronomic performance, despite elevated CO2 levels, using marker assisted introgression of the lpa1-3 allele into elite rice varieties.
Funding
This work was supported by a Grant from the Next-Generation BioGreen 21 Program (Plant Molecular Breeding Center number PJ013165), Rural Development Administration, Republic of Korea. The funder had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Competing interests
The authors have declared that no competing interests exist.
Author Contributions
Conceptualization: Kishor Doddanakatte Shivaramegowda, Hee-Jong Koh
Data curation: Kishor Doddanakatte Shivaramegowda, Hee-Jong Koh
Formal analysis: Kishor Doddanakatte Shivaramegowda
Funding acquisition: Hee-Jong Koh
Methodology: Kishor Doddanakatte Shivaramegowda, Choonseok Lee, Hee-Jong Koh
Project administration: Hee-Jong Koh
Resources: Hee-Jong Koh, Soon-Kwan Hong, Jin-Kwan Ham
Software: Kishor Doddanakatte Shivaramegowda, Dongryung Lee, Jeonghwan Seo
Supervision: Hee-Jong Koh
Validation: Choonseok Lee
Visualization: Kishor Doddanakatte Shivaramegowda, Choonseok Lee
Writing ± original draft: Kishor Doddanakatte Shivaramegowda
Writing, review & editing: Kishor Doddanakatte Shivaramegowda, Choonseok Lee, Jelli Venkatesh, Zhuo Jin, Dongryung Lee, Jeonghwan Seo, Joong Hyoun Chin, Hee-Jong Koh
Acknowledgments
This work was supported by a Grant from the Next-Generation BioGreen 21 Program (Plant Molecular Breeding Center number PJ013165), Rural Development Administration, Republic of Korea.
Footnotes
Data availability statement: All relevant data are within the paper and in the NCBI Genbank database (accession number: MH707666).