Skip to main content
Advertisement
Browse Subject Areas
?

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

  • Loading metrics

Transcriptional response of rice flag leaves to restricted external phosphorus supply during grain filling in rice cv. IR64

  • Kwanho Jeong,

    Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Software, Writing – original draft, Writing – review & editing

    Affiliations Southern Cross Plant Science, Southern Cross University, Australia, Southern Cross GeoScience, Southern Cross University, Australia

  • Omar Pantoja,

    Roles Data curation, Methodology, Writing – review & editing

    Affiliation Instituto de Biotecnología, Universidad Nacional Autónoma de México, Cuernavaca, Morelos, Mexico

  • Abdul Baten,

    Roles Data curation, Software, Writing – review & editing

    Current address: AgResearch, Grasslands Research Centre, Palmerston North, New Zealand.

    Affiliation Southern Cross Plant Science, Southern Cross University, Australia

  • Daniel Waters,

    Roles Conceptualization, Methodology, Supervision, Validation, Writing – original draft, Writing – review & editing

    Affiliation ARC ITTC for Functional Grains, Charles Sturt University, Wagga Wagga NSW, Australia

  • Tobias Kretzschmar,

    Roles Methodology, Writing – review & editing

    Affiliations Southern Cross Plant Science, Southern Cross University, Australia, Genotyping Services Laboratory, International Rice Research Institute (IRRI), Metro Manila, Philippines

  • Matthias Wissuwa,

    Roles Funding acquisition, Supervision, Writing – review & editing

    Affiliation Crop, Livestock and Environment Division, Japan International Research Center for Agricultural Sciences, Ohwashi, Tsukuba, Ibaraki, Japan

  • Cecile C. Julia,

    Roles Data curation, Investigation, Writing – review & editing

    Affiliations Southern Cross Plant Science, Southern Cross University, Australia, Southern Cross GeoScience, Southern Cross University, Australia

  • Sigrid Heuer,

    Roles Conceptualization, Supervision, Writing – review & editing

    Affiliation Department of Plant Biology and Crop Sciences, Rothamsted Research, West Common, Harpenden, Herts, United Kingdom

  • Terry J. Rose

    Roles Conceptualization, Funding acquisition, Methodology, Project administration, Supervision, Validation, Writing – original draft, Writing – review & editing

    terry.rose@scu.edu.au

    Affiliations Southern Cross Plant Science, Southern Cross University, Australia, Southern Cross GeoScience, Southern Cross University, Australia

Abstract

Plant phosphorus (P) remobilisation during leaf senescence has fundamental implications for global P cycle fluxes. Hypothesising that genes involved in remobilisation of P from leaves during grain filling would show altered expression in response to P deprivation, we investigated gene expression in rice flag leaves at 8 days after anthesis (DAA) and 16 DAA in plants that received a continuous supply of P in the nutrient solution vs plants where P was omitted from the nutrient solution for 8 consecutive days prior to measurement. The transcriptional response to growth in the absence of P differed between the early stage (8 DAA) and the later stage (16 DAA) of grain filling. At 8 DAA, rice plants maintained production of energy substrates through upregulation of genes involved in photosynthesis. In contrast, at 16 DAA carbon substrates were produced by degradation of structural polysaccharides and over 50% of highly upregulated genes in P-deprived plants were associated with protein degradation and nitrogen/amino acid transport, suggesting withdrawal of P from the nutrient solution led to accelerated senescence. Genes involved in liberating inorganic P from the organic P compounds and vacuolar P transporters displayed differential expression depending on the stage of grain filling stage and timing of P withdrawal.

Introduction

An estimated 5.7 billion ha of global crop-lands are deficient in bioavailable phosphorus (P) [1]. To obtain high yield and maintain soil fertility, regular inputs of P fertiliser, and other nutrients, are required. The efficiency with which applied P fertiliser is utilised by crops is, however, generally low. Much of the applied P fertiliser becomes ‘fixed’ with iron (Fe) and aluminium (Al) oxides and hydroxides in acid soils, and as calcium (Ca) complexes in alkaline soils [2], which is problematic given that rock phosphate utilised by most P-fertilisers is a finite natural resource [3].

A further factor that contributes to unsustainable P use in agriculture is the removal of an estimated 12 million tonnes of P in harvested agricultural produce each year [4, 5], of which little is recycled back to fields [3]. Most of the P removed in harvested produce is in the grains of cereal crops [5], mostly in the form of the anti-nutrient phytate which cannot be digested by humans and other monogastric animals [6]. Reducing P levels in the grains of cereals would minimise the amount of P removed from fields at harvest and, if crop stubble is retained in the field, the P fertiliser requirements of subsequent crops would be reduced in the long term [7, 8].

Recent studies have identified critical periods of P remobilisation from leaves and loading into developing grains of rice (Oryza sativa L.) [9], however, our understanding of the molecular regulation of this process is limited [1013]. Using rice as a model, we recently investigated whether a subset of genes involved in the well described molecular response of plants to P starvation [1416] were involved in the remobilisation of P from senescing flag leaves to developing rice grains [10]. Three purple acid phosphatases (OsPAP3, OsPAP9b and OsPAP10a) that have been implicated in the P starvation response were significantly upregulated during the phase of rapid P remobilisation from flag leaves (15 days after anthesis; DAA) compared to 6 DAA when flag leaf P levels were relatively stable [10]. Additionally, three genes not previously associated with the P starvation response, OsPAP26, SPX-MFS1 and SPX-MFS2, showed expression profiles consistent with an involvement in P remobilisation from senescing flag leaves [10]. Consistent with these findings, the Arabidopsis homologue of OsPAP26, AtPAP26, was shown to be involved in P remobilisation from senescing Arabidopsis leaves [17]. In addition, data from recent studies suggest that SPX genes may encode vacuolar P transporters (VPTs) [18] and two VPTs were recently identified in rice as influx (OsSPX-MFS1) and efflux (OsSPX-MFS3) transporters [1921].

While the expression profiles of the OsPAPs and OsSPX-family genes were consistent with a role in remobilisation of P from senescing rice flag leaves [10], the absence of any specific P treatment prevented us from establishing a definitive link with P remobilisation. In a subsequent study, we found that P from specific leaf P pools was remobilised prematurely following the permanent withdrawal of P from the nutrient solution at anthesis or 8 DAA [22]. The data suggested that the demand for P in developing grains led to premature remobilisation of P from flag leaves in the absence of an external (nutrient solution) P supply.

The aim of the present study was to investigate whether the premature remobilisation of P in flag leaves when external P supply was withdrawn during grain filling corresponded to changes in expression of:

  1. previously identified genes putatively related to P remobilisation during senescence including OsPAPs and OsSPX genes from the study of Jeong et al.[10] and;
  2. novel genes that have not previously been associated with P remobilisation from senescing leaves

This was tested using an RNA-seq approach to compare gene expression in flag leaves of rice at specific time points during grain filling from plants that had a continuous P supply until maturity and from plants that had P permanently withdrawn (for 8 d) from the hydroponic solution at anthesis and at 8 DAA, respectively. We used the rice mega-variety IR64 that has been well-characterised genetically and is cultivated on more than 10 million ha across the globe [23].

Materials and methods

Experimental design and overview

Rice plants (cv. IR64) were grown to maturity in hydropic culture solution under adequate P supply (0.75 mg P day-1), supplied until maturity, or P permanently withdrawn from the nutrient solution at anthesis or 8 DAA. The amount of P provided in the nutrient solution for ‘adequate’ P supply was determined in a preliminary experiment, and was defined as the minimum supply of P required for obtaining maximum grain yields. Data from the preliminary experiment, along with the flag leaf photosynthesis and P mobilisation data, are presented in Jeong et al. [22], and key data pertinent to this paper are presented in S1 Table.

Plant growth and experimental design

Evenly sized rice seeds (cv. IR64) were sterilised with HClO3 for 2 min and germinated in Petri dishes in the dark at 30°C for 2 d. The germinated rice seeds were transferred to a mesh floating on a hydroponic nutrient solution containing 1 mM calcium (CaCl2) and 36 μM iron (Fe EDTA). After 10 days, the solution was changed to half strength Yoshida solution [24] without P, in which the plants were grown for a further 2 weeks. Nutrient solutions were replaced after 1 week. After 2 weeks growing on the floating mesh, two evenly sized seedlings were transplanted into 5 L pots wrapped with aluminium foil containing full strength Yoshida solution without P. Yoshida nutrient solution was changed and the pH adjusted to 5.2–5.5 each week. Rice plants were grown under temperature-controlled conditions in a glasshouse at Southern Cross University (Lismore, NSW, Australia) with a mean day/night air temperature of 29°C/21°C and relative humidity (RH) of 75%.

Plants received 0.75 mg of P per day per pot by application of 17.5 ml of P stock solution (150 mg P L-1) every 3.5 days to the nutrient solution. Phosphorus withdrawal treatments were applied during the reproductive growth phase as shown in S1 Fig. Each treatment was replicated three times. Anthesis was defined as the state when 50% of panicles had at least 50% of florets with visible anthers. A set of six panicles that reached the booting stage simultaneously were tagged and their flag leaves were harvested for RNA extraction and RNA-seq analysis.

Total RNA extraction, library construction and sequencing

Based on flag leaf photosynthesis and P mobilisation data (S1 Table) [22], two sets of samples that had received ‘adequate’ P supply were selected for RNA-seq analysis. The first set consisted of flag leaf samples harvested at 8 DAA from plants where P supply had been withdrawn at anthesis (T8) and of the corresponding control plants (P supplied continuously; C8). The second set consisted of leaf samples from plants harvested at 16 DAA where P supply had been withdrawn at 8 DAA (T16) and plants of the corresponding control treatment (P supplied continuously; C16) (S1 Fig). These two time-points were chosen because in response to P deprivation, photosynthesis was unaffected in T8 while it was significantly impaired in T16 (S1 Table) [22].

Total RNA was extracted using the RNeasy Mini kit (Qiagen, Victoria, Australia) according to the manufacturer’s instructions. After extraction, total RNA was quantified with a Nanodrop (ND1000, Labtech, Paris, France) and the quality of RNA was examined on a 2100 Bioanalyzer (Agilent Technologies, California, US). Based on the quantity and quality control of RNA samples, high quality RNA samples were selected for library construction. Samples that did not meet the criteria (i.e. 2.0 ≥ 260 / 280 ratio, 7.0 RIN number) were re-extracted. Library construction using Truseq RNA V2 kit (Illumina, California, US) and RNA sequencing (RNA-seq) using Hi-seq 2500 system (Illumina) were carried out by Macrogen (Seoul, Korea).

Analysis of RNA-seq data

RNA-seq data analysis was performed as described in Jeong et al. [10]. Fastq files were filtered for adapter sequence, poly-N stretches and low-quality reads using FASTQC [25] and the BBDuk module of the BBMap software package (https://sourceforge.net/projects/bbmap/, version 35.51). Bowtie version 2.2.4 [26] was used to index the rice genome (IRGSP 1.0). Clean high quality reads were mapped using the splice aware RNASeq aligner program TopHat version 2.1.0 [27]. The Ensembl Plants (http://plants.ensembl.org/Oryza_sativa/Info/Annotation) O. sativa cv. Nipponbare (ssp. japonica) reference genome annotation was utilised. TopHat identified the exon–exon junctions and produced the read vs genome alignment in BAM (Binary Alignment Map) format. Cufflinks [28] then used the TopHat-generated alignment to assemble a set of reference-based transcripts. Finally, the CuffDiff module of Cufflinks was used to identify differentially expressed genes between samples. Raw sequencing data have been uploaded to SRA (Sequence Read Archive) database (accession number: SRP134062).

A total of 304 million 101 bp paired end reads generated more than 96% of high quality reads across all libraries and about 87.6% of those high quality reads were mapped to the reference rice genome (S2 Table).

Gene expression levels were normalised using the FPKM (Fragments Per Kilobase of transcript per Million mapped reads) method. Differentially expressed genes (DEGs) were calculated by comparing the FPKM values between T8 vs C8 and T16 vs C16 using three biological replicates for each treatment. Significant DEGs were defined as those genes that were up or downregulated with log2 fold change > 1 or < -1, respectively, while significance threshold was set at a false discovery rate (FDR) corrected p value of < 0.05.

Gene identification, annotation and classification

A total of 400 DEGs, the 100 most differentially up- and down-regulated genes from both T8 and T16, were categorised based on their descriptions, annotated functions and data from the literature (S3 and S4 Tables). After sorting based on log2 fold change the annotations were retrieved from the rice annotation project database (RAP-DB; http://rapdb.dna.affrc.go.jp/index.html), rice locus identifier search (http://rice.plantbiology.msu.edu/analyses_search_locus.shtml) and RiceXpro global gene expression profile (http://ricexpro.dna.affrc.go.jp/category-select.php). The functional annotation of DEG products was cross referenced with the functional protein association network String (version 10.0; http://string-db.org/). To annotate and classify transcription factors (TFs), plant transcription factor database version 3.0 (PlantTFDB; http://planttfdb.cbi.pku.edu.cn/) was used.

Examination of key genes in the P starvation response

We assumed that the withdrawal of P from the nutrient solution during grain filling would not simply elicit the well-known P starvation response observed when young plants are deprived of P. To confirm this, we specifically examined the expression of 11 key genes (OsPHO1, OsPHO2, OsPHR1, OsPHR2, OsSPX2, OsSPX3, OsSPX5, OsPT5, OsPAP23, OsIPS1 and OsACP1) that have been widely reported to respond to P starvation in young rice plants (Table 1) [16, 2932].

thumbnail
Table 1. Gene expression profile of eleven key P starvation response (PSR) genes in rice flag leaves at 8 or 16 days after anthesis, following P withdrawal from the nutrient solution 8 d earlier.

https://doi.org/10.1371/journal.pone.0203654.t001

Expression of specific genes of interest from earlier studies

We previously observed that 32 genes, including P starvation response genes (PSRs), OsPAPs, rice P transporters (OsPTs), and OsSPX and OsSPX-MFS family genes, were upregulated in rice flag leaves at 15 DAA when leaves were acting as a P source [10]. We further investigated the expression of these 32 genes (hereafter referred to as the ‘32 P-remobilisation related genes (PRGs)’; see list in S5 Table) in the present study at 8 DAA and 16 DAA in both treatment (P withdrawn) and control samples. Further, given the critical role of Pi transporter family 1 (PHT1) genes in Pi uptake from roots and remobilisation in vegetative tissues [33], the expression of PHT1 genes (OsPT1 to OsPT13) was analysed at 8 DAA and 16 DAA.

Results

Global gene expression data and differential gene expression

Three biological replicates for each library (T8, C8, T16 and C16) were analysed using RNA-seq. The average number of high quality reads of three replicates from each library, T8, C8, T16 and C16, were 24 ± 0.35, 25 ± 4.84, 26 ± 1.37 and 23 ± 0.97 million, respectively. An average of 87.6 ± 0.69% of high quality reads from each replicate were mapped to the rice genome (S2 Table) and distinct DEGs retrieved based on log2 fold change (log2 > 1 or < -1). At 8 DAA, 1,515 and 2,044 genes were up and downregulated, respectively, while 715 and 1,157 genes were up and downregulated, respectively, at 16 DAA (Fig 1). Subsequently, the DEGs common to both treatments were identified, with 102 DEGs upregulated at both 8 and 16 DAA, while 306 DEGs were downregulated at both 8 and 16 DAA (Fig 1). The number of DEGs that were upregulated at 8 DAA but downregulated at 16 DAA was 142, and 103 DEGs were upregulated at 16 DAA but downregulated at 8 DAA (Fig 1).

thumbnail
Fig 1. Venn diagram of total DEGs and overlapping DEGs (log2 fold change > +1 or < -1, P value < 0.05).

https://doi.org/10.1371/journal.pone.0203654.g001

Expression of key P starvation induced genes

We assumed that P withdrawal would not simply elicit the up-regulated expression of PSR genes. In order to verify this, the expression of 11 highly and consistently expressed PSR genes was investigated. Seven of the 11 key PSR genes examined, including the transcription factors OsPHR1 and OsPHR2, were either not differentially expressed or were downregulated in T8 and T16 (Table 1). Only OsPHO2 was upregulated in both T8 and T16, with log2 fold changes of 0.52 and 0.57, respectively, while OsIPS1, OsPAP23 and OsSPX5 were upregulated in T8 (Table 1).

Expression of 32 PRGs putatively involved in P remobilisation during grain filling

In an earlier study [10], we found that the expression profiles of 32 P-related genes (PRGs) were consistent with a possible role in remobilisation of P from senescing rice flag leaves, however, the absence of any specific P treatment precluded any definitive conclusions. Three of the 32 PRGs (OsPAP15, OsPAP10a and OsPAP1d) were significantly upregulated in T8 while five genes (OsSPX-MFS1, OsSPX-MFS3, OsPHO1;1, OsPAP9b and OsCAX1a) were downregulated (Table 2). In T16, only one gene (OsSPX-MFS3) was upregulated while three genes (OsPT20, OsPT19 and LOC_Os03g15530) were downregulated (Table 2). Most of the 32 PRGs were not differentially expressed; only OsSPX-MFS1 was highly downregulated in T8 with a log2 fold change of -3.13 (Table 2). OsSPX-MFS2 and OsSPX-MFS4 were not differentially expressed in flag leaves during grain filling under P withdrawal (S2 Fig).

thumbnail
Table 2. Differential gene expression among the 32 PRGsǂ in rice flag leaves at 8 or 16 days after anthesis, following P withdrawal from the nutrient solution 8 d earlier.

https://doi.org/10.1371/journal.pone.0203654.t002

Analysis of the 100 most highly up-regulated and down-regulated DEGs in T8 and T16

In order to obtain information on the metabolic pathways or processes that were responding to P-withdrawal, we decided to analyse the 100 most highly up/downregulated genes in T8 and T16 on flag leaves under P withdrawn between different time-points during rice grain filling.

Highly upregulated genes at 8 DAA in response to P-withdrawal.

More than 50% of the upregulated genes in T8 were classified within the nucleic acid metabolism, photosynthesis, detoxification and protein translation groups (Fig 2A). Twenty-five of the genes upregulated in T8 were assigned to nucleic acid metabolism (Fig 2A). Most of these were broadly associated with DNA replication and RNA splicing in the chloroplast, for example, ribonucleotide reductase (RNRL1; LOC_Os06g07210) and chloroplastic group IIA intron splicing facilitator CRS1 (LOC_Os05g47850). Additionally, six genes encoding for proteins containing pentaricopeptide repeat (PPR) domains, four encoding for proteins with a glycine rich (GRP) domain involved in RNA recognition and RNA polymerases, that together are involved in RNA transcription and editing in chloroplast, were also upregulated in T8 (S3 Table). Nine DEGs were assigned to photosynthesis (Fig 2A). Among these were photosystem II (PSII) oxygen evolving complex protein PsbQ family protein (LOC_Os02g36850, with a log2 fold change of 2.6). The light-harvesting chlorophyll a/b-binding proteins from photosystem I (PSI) precursor (Lhca6, LOC_Os09g26810), ferredoxin-type domain containing protein (LOC_Os07g30670) and aldose 1-epimerase family protein (AEP; LOC_Os03g53710), with log2 fold changes of 3.0, 4.0 and 3.2, respectively (S3 Table).

thumbnail
Fig 2.

The 100 most highly upregulated (A) and downregulated (B) genes in T8. The number in the chart indicates the number of genes that are assigned in the category.

https://doi.org/10.1371/journal.pone.0203654.g002

Genes involved in detoxification processes were also upregulated in T8 (Fig 2A), including thioredoxin and oxidoreductase proteins that are involved in detoxification of reactive oxygen species (ROS) in chloroplasts (S3 Table). In addition, four genes associated with nitrogen (N) remobilisation were upregulated, including the urea transporter, OsTIP4;1 (LOC_Os05g14240) and aspartate carbamoyltransferase (LOC_Os08g15030), that catalyses the first committed step in pyrimidine biosynthesis, the condensation of l-aspartate and carbamoyl phosphate to form N-carbamyl-L-aspartate and inorganic phosphate (S3 Table).

Five ribosomal and translational proteins were upregulated and were assigned to protein translation and several other upregulated DGEs were assigned to protein related processes such as protein synthesis, phosphorylation and ubiquitination (Fig 2A). Descriptions of other genes that were upregulated in T8 are given in S3 Table.

Highly down regulated genes at 8 DAA in response to P-withdrawal.

Twenty-seven of the genes that were downregulated in T8 were TFs, five of which participate in protein synthesis regulation. For example, OsbHLH148 (LOC_Os03g53020) acts on an initial response of jasmonate-regulated gene expression toward drought tolerance; OsDof2 (LOC_Os01g15900) is associated with plant growth, leaf expansion, grain size and flowering time in rice. The heat stress transcription factor, OsHsfC2a (LOC_Os02g13800) was downregulated in T8. The WRKY transcription factors OsWRKY21 (LOC_Os01g60640) that putatively regulates a transcriptional repressor of the gibberellin signalling pathways, and OsWRKY71, associated with the defensive reaction to rice blast disease were also downregulated in T8 (Fig 2B and Table 3).

thumbnail
Table 3. The expression profile of downregulated transcription factor families in the 100 most differentially expressed genes in T8.

https://doi.org/10.1371/journal.pone.0203654.t003

Numerous phytohormone-related TFs were also downregulated in T8, including ethylene response genes (eight AP2/ERF domain TFs), jasmonate signalling related TFs (four Tify domain TFs and 1 helix-loop-helix DNA binding domain TF) and a further seven DEGs associated with auxin, gibberellin and other phytochemicals (terpenoids and alkaloids) (Fig 2B and S3 Table). A further eight DEGs associated with abiotic/biotic stress responses were downregulated in T8 (Fig 2B and S3 Table). Genes associated to carbon metabolism were found to be downregulated, like OsINV3 (LOC_Os02g01590), OsUGlcAE3 (LOC_Os02g54890), sugar/inositol transporter (LOC_Os12g32760) and OsSWEET2b (LOC_Os01g50460). Those coding for a glycosyl hydrolase (OsXTH1; LOC_Os04g51460), transferase (LOC_Os03g47530) and OsPCS13 (LOC_Os03g18910) were assigned to cell wall degradation and were downregulated in T8 (Fig 2B).

Highly upregulated genes at 16 DAA in response to P-withdrawal.

More than 50% of upregulated genes in T16 were grouped into protein ubiquitination, N remobilisation, TFs, detoxification, stress response and cellular hydrolysing processes (Fig 3A). The upregulated genes in T16 were quite distinct from those upregulated in T8, despite both group of plants having been P deprived for the same length of time (i.e. 8 d), which indicates that the responses are influenced by plant development stage. A total of 10 DEGs were annotated to protein ubiquitination, and they were mainly zinc finger domain containing proteins (Fig 3A and S4 Table). Several peptide transporters and an aquaporin protein (OsTIP4;1), which are involved in urea transport, were upregulated in addition to four upregulated DEGs associated with releasing ammonium or with the degradation of glutamine, that together were assigned to N remobilisation (Fig 3A).

thumbnail
Fig 3.

The 100 most highly upregulated (a) downregulated (b) in T16. The number in the chart indicates the number of genes that are assigned in the category.

https://doi.org/10.1371/journal.pone.0203654.g003

Nine TFs were upregulated in T16, mostly from the MYB family (Fig 3A and Table 4), which are associated with a range of processes including protein synthesis, protein ubiquitination and plant growth and stress response (Table 4). Eight upregulated DEGs were associated with abiotic/biotic stress response, including universal stress protein (LOC_Os05g28740) and hypothetical protein (Os05g0355450 –no MSU ID matched) that showed 42% identity to the universal stress protein in Zea mays. These two genes were highly expressed in T16, with FPKM values of 1,252 and 1,056, respectively (S4 Table). Eight genes coding for proteins involved in detoxification of ROS were upregulated, and these included thioredoxin (TRX), glutaredoxin (OsGRX23), peroxidase and FAD dependent oxidoreductase (Fig 3A and S4 Table).

thumbnail
Table 4. The expression profile of upregulated transcription factor families in the 100 most differentially expressed genes in T16.

https://doi.org/10.1371/journal.pone.0203654.t004

Interestingly, two enzymes assigned to carbohydrate metabolism, beta-amylase (LOC_Os10g41550) and beta-fructofuranosidase (invertase: LOC_Os09g08120), were upregulated in T16 (Fig 3A and S4 Table). Similarly, four DEGs assigned to cell wall degradation, including two glycosyl hydrolases (OsXTH15 [LOC_Os06g22919 and LOC_Os05g31140]) and glycosyltransferase (LOC_Os08g38710), were upregulated in T16, which indicates that xyloglycan was catalysed, probably corresponding to cell wall degradation (Fig 3A and S4 Table). In contrast to the nine photosynthesis related genes upregulated in T8, only one photosystem II 10 kDa polypeptide (LOC_Os07g05365) was upregulated in T16, and one phosphatase involved in phosphoryl transfer (LOC_Os03g49440) was upregulated (Fig 3A).

Highly downregulated genes at 16 DAA in response to P-withdrawal.

Eleven of the downregulated DGEs in T16 were assigned to protein synthesis and nine out of eleven were specifically related to heat shock protein (Hsp) (S4 Table). In addition, three TFs in the HSF (heat shock transcription factor) family were also downregulated (Fig 3B and Table 5). As occurred in T8, several ERF family TFs that are involved in ethylene response and a bHLH family TF that is involved in jasmonate signalling were also downregulated in T16 (Table 5). Ten DEGs assigned to abiotic/biotic stress were also downregulated in T16 (Fig 3B and S4 Table).

thumbnail
Table 5. The expression profile of downregulated transcription factor families in the 100 most differentially expressed genes in T16.

https://doi.org/10.1371/journal.pone.0203654.t005

Four DEGs involved in photosynthesis were downregulated, three of which were early light-induced proteins (LOC_Os01g14410, LOC_Os07g08150, LOC_Os07g08160; Fig 3B and S4 Table).

Notably, six genes associated with seed storage proteins, including glutelin and cupin (LOC_Os03g31360, LOC_Os01g55690, LOC_Os02g25640, LOC_Os06g09820, LOC_Os07g38630, LOC_Os06g03390), were downregulated in T16. OsGRX2, a glutaredoxin, was downregulated, in addition to a cytosolic ascorbate peroxidase (OsAPx2), an oxidoreductase (OsAKR2), a thioredoxin protein (LOC_Os02g56900) and heavy metal-associated domain (LOC_Os10g38870) that are involved in detoxification processes (Fig 3B). The downregulation of the glucose-6-phosphate/phosphate translocator, OsGPT2-3 (LOC_Os07g33910) and the sucrose transporter OsSWEET13 (LOC_Os12g29220) indicates the downregulation of carbon metabolism in T16 (Fig 3B).

Expression of Pi transporters in flag leaves during grain filling

It has been well documented that Pi transporter family 1 (Pht 1; OsPT 1–13) genes are involved in Pi uptake and distribution [12, 34], so the expression of these genes was examined in flag leaves during grain filling. Only four OsPT genes (OsPT1, OsPT4, OsPT5 and OsPT8) were expressed at detectable levels (i.e. FPKM > 1). The expression of OsPT1 was the highest in both treatments at both time points (FPKM > 40), followed by OsPT8 (FPKM > 10), while OsPT4 and OsPT5 had lower expression levels (FPKM < 10) (Fig 4). Notably, OsPT1, OsPT4, OsPT5 and OsPT8 were downregulated in T8, whereas they were not differentially expressed at 16 DAA (Fig 4).

thumbnail
Fig 4. The expression of the PHT 1 family of rice P transporters in rice flag leaves during grain filling.

P values *** < 0.001, no marks = non-significant.

https://doi.org/10.1371/journal.pone.0203654.g004

Discussion

While the response of young plants to P deprivation is well documented at the physiological and molecular levels, little is known about the physiological and molecular regulation of P mobilisation from senescing leaves during grain filling. We previously identified several genes that showed expression profiles consistent with a role in P remobilisation from senescing rice flag leaves, but in the absence of any specific P treatment, it was not possible to definitively conclude their involvement in the liberation and transport of P from leaves during grain filling [10]. While the treatments imposed in the current study involved deprivation of P for 8 d (either from anthesis to 8 DAA or from 8 DAA to 16 DAA), the absence of any consistent upregulation of the 11 key PSR genes in T8 or T16 clearly demonstrates that the response observed was distinct from the typical P deprivation response observed in younger plants under P starvation (Table 1) and by the same token, emphasising the different metabolic states present in young and mature plants.

Different response to P withdrawal depending on grain filling stage

Not only did the withdrawal of P from the nutrient solution during grain filling elicit a different transcriptional response to that from young plants, but a distinct difference between the response to 8 d of P deprivation during the early stage of grain filling (8 DAA) and the response to 8 d of P deprivation at later stage (16 DAA) was observed. At 8 DAA, a total of 34 upregulated DEGs assigned to nucleic acid metabolism and photosynthesis were upregulated, while at 16 DAA, only two nucleic acid metabolism genes were upregulated, and four photosynthesis related genes were actually downregulated in T16 (Figs 2 and 3). Downregulation of photosynthesis related genes is in accordance with the photosynthetic rate data from these plants—reported in Jeong et al. [22]—where the withdrawal of P supply from anthesis to 8 DAA did not significantly reduce photosynthesis activity compared to the control plants (14.5 μmol CO2 m-2 s-1), while withdrawal of P supply at 8 DAA significantly reduced this activity to 7.5 μmol CO2 m-2 s-1 at 16 DAA compared to the control plants (14.8 μmol CO2 m-2 s-1) (S1 Table). However, it is possible that the response observed is specific to the cultivar studied (cv. IR64) and further research is needed to determine whether this response is observed in a wider range of rice cultivars.

Response to P withdrawal at early stage of grain filling (8DAA)

At 8DAA, PPR proteins and RNA polymerase (OsRpoTp) were highly upregulated, indicating activation of RNA metabolic processes in the chloroplast [3538], that together wth the upregulation of the whirly TF (LOC_Os06g05350) (S3 Table), indicate the correct functioning of chloroplasts in T8 [39]. We also observed significant upregulation of photosystem II (PSII) oxygen evolving complex protein PsbQ family protein which stabilises PsbP binding, thereby contributing to the maintenance of the catalytic manganese (Mn) cluster of the water oxidation machinery [40]. In addition, the significant upregulation of an aldose 1-epimerase family protein (AEP; LOC_Os03g53710), indicated the activating of energy metabolism, since AEP participates in the conversion of D-galactose to D-glucose 6-phosphate by either the Leloir pathway or the pyrophosphorylase pathway [41]. This pathway is required since galactose itself cannot be used for glycolysis directly. Taking these observations together, it appears that the deprivation of P from anthesis to 8 DAA in plants that received adequate P supply during vegetative growth induced a plant transcriptional response aimed at sustaining photosynthesis by upregulation of genes directly involved in chloroplast and thylakoid functioning. This would enable continued production of carbon substrates to be used in glycolysis and the TCA cycle for sustained growth and to meet the carbon demands of the developing grains (Fig 5). The most notable changes in gene expression among the 32 PRGs (those identified in the study of Jeong et al. [10]) were the upregulation of three OsPAP genes (OsPAP15, OsPAP10a and OsPAP1d) and downregulation of OsSPX-MFS1 and OsSPX-MFS3 (Table 2). Given that OsPAP genes are known to play a role in liberating P from organic P sources [17, 30, 42, 43], and OsSPX-MFS1 and OsSPX-MFS3 function as phosphate influx and efflux transporters in rice, respectively [20, 21], it is possible that P liberated from organic P sources was sufficient to meet the competing P demands of developing grains and concurrent leaf photosynthetic processes without requiring vacuolar P. Notably, the P demand of developing grains is relatively low during this period; most P is loaded into grains from around 6 DAA to 15 DAA in a sigmodal accumulation pattern [9, 13], and hence, only a small proportion is accumulated in the grains by 8 DAA. The downregulation of both OsSPX-MFS1 and OsSPX-MFS3 supports the notion that plants had sufficient cytoplasmic P without the need to remove/use any P stored in the vacuole (Table 2). Regardless, the data clearly support results from our earlier study [10] that implicated OsPAP15, OsPAP10a and OsPAP1d in the mobilisation of P from senescing leaves.

thumbnail
Fig 5.

Hypothesised response to P withdrawal at the cellular level during grain filling (A) at 8 DAA and (B) 16 DAA based on differentially expressed genes.

https://doi.org/10.1371/journal.pone.0203654.g005

Response to P withdrawal from 8 to 16 days after anthesis

In contrast to the response from plants to P deprivation between anthesis and 8 DAA (T8), the overall response of plants to P deprivation between 8 DAA and 16 DAA (T16) appeared to be accelerated leaf senescence. This involved downregulation of photosynthesis-related genes including early light induced proteins (LOC_Os07g08150, LOC_Os07g08160 and LOC_Os01g14410) and OsPsbS2 which is a light harvesting complex gene within PSII [44]. Parallel to these changes, the upregulation of polysaccharide degradation associated genes such as beta-amylase (OsBAM5), beta-fructofuranosidase (OsCIN8) for degrading of storage polysaccharides, and two glycosyl hydrolases (defensin OsDEFL9) and a glycosyltransferase (LOC_Os08g38710) for degrading of structural polysaccharide (cell wall) were also observed (Fig 5 and S4 Table). The large number of upregulated DEGs assigned to protein ubiquitination and N remobilisation that indicated an increase in protein degradation [45], was also consistent with accelerated leaf senescence in T16. Interestingly, the three OsPAP genes that were upregulated in T8 also showed high expression levels in the control plants at 16 DAA (Fig 6), suggesting that some degree of leaf senescence had already been initiated in these plants.

thumbnail
Fig 6. The expression of three OsPAPs in rice flag leaves during grain filling.

P values *** < 0.001, no marks = non-significant.

https://doi.org/10.1371/journal.pone.0203654.g006

OsSPX-MFS3, which plays a role in the efflux of P from the vacuole to maintain a constant cytoplasmic P level [21] (Fig 5), was upregulated in T16 (Table 2). This may suggest that plants were using vacuolar P stores to meet a critical P deficit in cells to maintain their function, or to meet the high P demands of developing grains, however, leaf P fraction data from these plants indicated no difference in flag leaf inorganic P (Pi) content between T16 plants and control plants [22]. This anomaly may be due to a lack of resolution in the leaf P fraction data due to inherent variability among biological replicates or in the methods used for fractionation. The expression pattern of OsSPX-MFS3, however, is indicative of a role in P mobilisation from senescing leaves, and further study of the function of this gene during grain filling is warranted.

Phosphorus is remobilised from old tissues to young tissues via the phloem [46], predominantly as Pi [47]. Transport of Pi into the phloem is thought to occur mostly through the action of members of the PHT1 family of transporters. In rice, six PHT1 family transporters (OsPT1, OsPT2, OsPT6, OsPT8, OsPT9 and OsPT10) have been shown to play a role in P remobilisation in the shoots of young plants [4851], but the function of these transporters during leaf senescence has not been fully resolved [11]. The absence of any upregulation of PHT family transporters in T8 or T16 plants may suggest that their induction is not necessary and that the basal activity present in control plants is enough to satisfy Pi transport along the phloem.

A recent study also revealed that a node specific transporter, sulfate transporter-like phosphorus distribution transporter (SPDT) plays an important role in P remobilisation from old tissues to young tissues through nodes in rice, with a 20% decrease in grain P content observed in grains of an spdt mutant [52]. No differential expression of SPDT was found in our data since SPDT is a gene specifically expressed in nodes (S3 Fig). Similar reductions in grain P concentration were observed in rice mutants where the sulfate transporter OsSULTR3;3 was knocked out [53]. While SPDT and OsSULTR3;3 provide potential targets for manipulation of grain P content, resolving the role of three OsPAPs (OsPAP1d, OsPAP10a and OsPAP15) and OsSPX-MFS3 in flag leaves during grain filling may lead to additional targets for manipulation of genes to reduce P concentrations in the grains of rice.

Supporting information

S1 Fig. Schematic diagram of experimental design and timing of permanent P withdrawal from the nutrient solution.

https://doi.org/10.1371/journal.pone.0203654.s001

(PDF)

S2 Fig. The expression of four OsSPX-MFSs in rice flag leaves during grain filling.

Statistical analysis was calculated individually by the sample T8 vs C8, T16 vs C16. P values *** < 0.001, no marks = non-significant.

https://doi.org/10.1371/journal.pone.0203654.s002

(PDF)

S3 Fig. The expression of SPDT in rice flag leaves during grain filling.

Statistical analysis was calculated individually by the sample T8 vs C8, T16 vs C16. P values *** < 0.001, no marks = non-significant.

https://doi.org/10.1371/journal.pone.0203654.s003

(PDF)

S1 Table. Concentration of total phosphorus and phosphorus fractions in flag leaves, and photosynthetic rate in sampled flag leaves.

https://doi.org/10.1371/journal.pone.0203654.s004

(PDF)

S2 Table. Sequencing reads and mapping statistics.

https://doi.org/10.1371/journal.pone.0203654.s005

(PDF)

S3 Table. The list of 100 of most each up and downregulated differential expressed genes in T8.

https://doi.org/10.1371/journal.pone.0203654.s006

(PDF)

S4 Table. The list of 100 of most each up and downregulated differential expressed genes in T16.

https://doi.org/10.1371/journal.pone.0203654.s007

(PDF)

S5 Table. 32 PRGs analysed in the present study.

https://doi.org/10.1371/journal.pone.0203654.s008

(PDF)

Acknowledgments

We would like to thank Dr. Hedia Tnani for help with the additional bioinformatical analysis. O.P. was supported by a Sabbatical Fellowship by DGAPA-UNAM.

References

  1. 1. Batjes N. A world dataset of derived soil properties by FAO–UNESCO soil unit for global modelling. Soil use and management. 1997;13(1):9–16.
  2. 2. McLaughlin MJ, McBeath TM, Smernik R, Stacey SP, Ajiboye B, Guppy C. The chemical nature of P accumulation in agricultural soils-implications for fertiliser management and design: an Australian perspective. Plant and Soil. 2011;349(1–2):69–87.
  3. 3. Cordell D, White S. Peak phosphorus: clarifying the key issues of a vigorous debate about long-term phosphorus security. Sustainability. 2011;3(10):2027–49.
  4. 4. Lott JN, Ockenden I, Raboy V, Batten GD. Phytic acid and phosphorus in crop seeds and fruits: a global estimate. Seed Science Research. 2000;10(1):11–33.
  5. 5. Lott JN, Ockenden I, Raboy V, Batten GD, Reddy N, Sathe S. A global estimate of phytic acid and phosphorus in crop grains, seeds, and fruits. Food phytates. 2002:7–24.
  6. 6. Raboy V. Approaches and challenges to engineering seed phytate and total phosphorus. Plant Science. 2009;177(4):281–96.
  7. 7. Rose T, Liu L, Wissuwa M. Improving phosphorus efficiency in cereal crops: is breeding for reduced grain phosphorus concentration part of the solution? Frontiers in Plant Science. 2013;4:444. pmid:24204376
  8. 8. Vandamme E, Rose T, Saito K, Jeong K, Wissuwa M. Integration of P acquisition efficiency, P utilization efficiency and low grain P concentrations into P-efficient rice genotypes for specific target environments. Nutrient cycling in agroecosystems. 2016;104(3):413–27.
  9. 9. Julia C, Wissuwa M, Kretzschmar T, Jeong K, Rose T. Phosphorus uptake, partitioning and redistribution during grain filling in rice. Annals of botany. 2016;118(6):1151–62. pmid:27590335
  10. 10. Jeong K, Baten A, Waters DL, Pantoja O, Julia CC, Wissuwa M, et al. Phosphorus remobilization from rice flag leaves during grain filling: an RNA-seq study. Plant biotechnology journal. 2017;15(1):15–26. pmid:27228336
  11. 11. Smith AP, Fontenot EB, Zahraeifard S, DiTusa SF. Molecular components that drive phosphorus-remobilisation during leaf senescence. Annual Plant Reviews. 2015.
  12. 12. Stigter KA, Plaxton WC. Molecular mechanisms of phosphorus metabolism and transport during leaf senescence. Plants. 2015;4(4):773–98. pmid:27135351
  13. 13. Wang F, Rose T, Jeong K, Kretzschmar T, Wissuwa M. The knowns and unknowns of phosphorus loading into grains, and implications for phosphorus efficiency in cropping systems. Journal of experimental botany. 2015;67(5):1221–9. pmid:26662950
  14. 14. Lin W-Y, Lin S-I, Chiou T-J. Molecular regulators of phosphate homeostasis in plants. Journal of experimental botany. 2009;60(5):1427–38. pmid:19168668
  15. 15. Liu F, Chang X-J, Ye Y, Xie W-B, Wu P, Lian X-M. Comprehensive sequence and whole-life-cycle expression profile analysis of the phosphate transporter gene family in rice. Molecular plant. 2011;4(6):1105–22. pmid:21832284
  16. 16. Secco D, Jabnoune M, Walker H, Shou H, Wu P, Poirier Y, et al. Spatio-temporal transcript profiling of rice roots and shoots in response to phosphate starvation and recovery. The Plant Cell. 2013;25(11):4285–304. pmid:24249833
  17. 17. Robinson WD, Carson I, Ying S, Ellis K, Plaxton WC. Eliminating the purple acid phosphatase AtPAP26 in Arabidopsis thaliana delays leaf senescence and impairs phosphorus remobilization. New Phytologist. 2012;196(4):1024–9. pmid:23072540
  18. 18. Liu J, Yang L, Luan M, Wang Y, Zhang C, Zhang B, et al. A vacuolar phosphate transporter essential for phosphate homeostasis in Arabidopsis. Proceedings of the National Academy of Sciences. 2015;112(47):E6571–E8.
  19. 19. Bucher M, Fabiańska I. Long-sought vacuolar phosphate transporters identified. Trends in plant science. 2016;21(6):463–6. pmid:27160805
  20. 20. Liu T-Y, Huang T-K, Yang S-Y, Hong Y-T, Huang S-M, Wang F-N, et al. Identification of plant vacuolar transporters mediating phosphate storage. Nature communications. 2016;7:11095. pmid:27029856
  21. 21. Wang C, Yue W, Ying Y, Wang S, Secco D, Liu Y, et al. Rice SPX-Major Facility Superfamily3, a vacuolar phosphate efflux transporter, is involved in maintaining phosphate homeostasis in rice. Plant physiology. 2015;169(4):2822–31. pmid:26424157
  22. 22. Jeong K, Julia CC, Waters DL, Pantoja O, Wissuwa M, Heuer S, et al. Remobilisation of phosphorus fractions in rice flag leaves during grain filling: Implications for photosynthesis and grain yields. PloS one. 2017;12(11):e0187521. pmid:29095945
  23. 23. Mackill DJ, Khush GS. IR64: a high-quality and high-yielding mega variety. Rice. 2018;11(1):18. pmid:29629479
  24. 24. Yoshida S, Forno DA, Cock JH, Gomez KA. Laboratory manual for physiological studies of rice: International Rice Research Institute; 1976.
  25. 25. Andrews S. FastQC: a quality control tool for high throughput sequence data. 2010.
  26. 26. Langmead B, Salzberg SL. Fast gapped-read alignment with Bowtie 2. Nature methods. 2012;9(4):357. pmid:22388286
  27. 27. Trapnell C, Pachter L, Salzberg SL. TopHat: discovering splice junctions with RNA-Seq. Bioinformatics. 2009;25(9):1105–11. pmid:19289445
  28. 28. Trapnell C, Roberts A, Goff L, Pertea G, Kim D, Kelley DR, et al. Differential gene and transcript expression analysis of RNA-seq experiments with TopHat and Cufflinks. Nature protocols. 2012;7(3):562. pmid:22383036
  29. 29. Cao Y, Yan Y, Zhang F, Wang H-d, Gu M, Wu X-n, et al. Fine characterization of OsPHO2 knockout mutants reveals its key role in Pi utilization in rice. Journal of plant physiology. 2014;171(3–4):340–8. pmid:24268791
  30. 30. Wu P, Shou H, Xu G, Lian X. Improvement of phosphorus efficiency in rice on the basis of understanding phosphate signaling and homeostasis. Current Opinion in Plant Biology. 2013;16(2):205–12. pmid:23566853
  31. 31. Wu P, Wang X. Role of OsPHR2 on phosphorus homoestasis and root hairs development in rice (Oryza sativa L.). Plant signaling & behavior. 2008;3(9):674–5.
  32. 32. Zhou J, Jiao F, Wu Z, Li Y, Wang X, He X, et al. OsPHR2 is involved in phosphate-starvation signaling and excessive phosphate accumulation in shoots of plants. Plant Physiology. 2008;146(4):1673–86. pmid:18263782
  33. 33. Lambers H, Plaxton WC. Phosphorus: back to the roots. Annual plant reviews. 2015;48:3–22.
  34. 34. Nussaume L, Kanno S, Javot H, Marin E, Nakanishi TM, Thibaud M-C. Phosphate import in plants: focus on the PHT1 transporters. Frontiers in plant science. 2011;2:83. pmid:22645553
  35. 35. Börner T, Aleynikova AY, Zubo YO, Kusnetsov VV. Chloroplast RNA polymerases: Role in chloroplast biogenesis. Biochimica et Biophysica Acta (BBA)-Bioenergetics. 2015;1847(9):761–9.
  36. 36. Hammani K, Giegé P. RNA metabolism in plant mitochondria. Trends in plant science. 2014;19(6):380–9. pmid:24462302
  37. 37. Kotera E, Tasaka M, Shikanai T. A pentatricopeptide repeat protein is essential for RNA editing in chloroplasts. Nature. 2005;433(7023):326. pmid:15662426
  38. 38. Liere K, Weihe A, Börner T. The transcription machineries of plant mitochondria and chloroplasts: composition, function, and regulation. Journal of plant physiology. 2011;168(12):1345–60. pmid:21316793
  39. 39. Foyer CH, Karpinska B, Krupinska K. The functions of WHIRLY1 and REDOX-RESPONSIVE TRANSCRIPTION FACTOR 1 in cross tolerance responses in plants: a hypothesis. Phil Trans R Soc B. 2014;369(1640):20130226. pmid:24591713
  40. 40. Kakiuchi S, Uno C, Ido K, Nishimura T, Noguchi T, Ifuku K, et al. The PsbQ protein stabilizes the functional binding of the PsbP protein to photosystem II in higher plants. Biochimica et Biophysica Acta (BBA)-Bioenergetics. 2012;1817(8):1346–51.
  41. 41. Gross KC, Pharr DM. A potential pathway for galactose metabolism in Cucumis sativus L., a stachyose transporting species. Plant physiology. 1982;69(1):117–21. pmid:16662141
  42. 42. Shane MW, Stigter K, Fedosejevs ET, Plaxton WC. Senescence-inducible cell wall and intracellular purple acid phosphatases: implications for phosphorus remobilization in Hakea prostrata (Proteaceae) and Arabidopsis thaliana (Brassicaceae). Journal of experimental botany. 2014;65(20):6097–106. pmid:25170100
  43. 43. Tran HT, Qian W, Hurley BA, SHE YM, Wang D, Plaxton WC. Biochemical and molecular characterization of AtPAP12 and AtPAP26: the predominant purple acid phosphatase isozymes secreted by phosphate-starved Arabidopsis thaliana. Plant, cell & environment. 2010;33(11):1789–803.
  44. 44. Umate P. Genome-wide analysis of the family of light-harvesting chlorophyll a/b-binding proteins in Arabidopsis and rice. Plant signaling & behavior. 2010;5(12):1537–42.
  45. 45. Belknap WR, Garbarino JE. The role of ubiquitin in plant senescence and stress responses. Trends in Plant Science. 1996;1(10):331–5.
  46. 46. Schachtman DP, Reid RJ, Ayling SM. Phosphorus uptake by plants: from soil to cell. Plant physiology. 1998;116(2):447–53. pmid:9490752
  47. 47. Bieleski R. Phosphorus compounds in translocating phloem. Plant physiology. 1969;44(4):497–502. pmid:16657091
  48. 48. Ai P, Sun S, Zhao J, Fan X, Xin W, Guo Q, et al. Two rice phosphate transporters, OsPht1; 2 and OsPht1; 6, have different functions and kinetic properties in uptake and translocation. The Plant Journal. 2009;57(5):798–809. pmid:18980647
  49. 49. Jia H, Ren H, Gu M, Zhao J, Sun S, Zhang X, et al. The phosphate transporter gene OsPht1; 8 is involved in phosphate homeostasis in rice. Plant Physiology. 2011;156(3):1164–75. pmid:21502185
  50. 50. Sun S, Gu M, Cao Y, Huang X, Zhang X, Ai P, et al. A constitutive expressed phosphate transporter, OsPht1; 1, modulates phosphate uptake and translocation in phosphate-replete rice. Plant physiology. 2012;159(4):1571–81. pmid:22649273
  51. 51. Wang X, Wang Y, Piñeros MA, Wang Z, Wang W, Li C, et al. Phosphate transporters OsPHT1; 9 and OsPHT1; 10 are involved in phosphate uptake in rice. Plant, cell & environment. 2014;37(5):1159–70.
  52. 52. Yamaji N, Takemoto Y, Miyaji T, Mitani-Ueno N, Yoshida KT, Ma JF. Reducing phosphorus accumulation in rice grains with an impaired transporter in the node. Nature. 2017;541(7635):92. pmid:28002408
  53. 53. Zhao H, Frank T, Tan Y, Zhou C, Jabnoune M, Arpat AB, et al. Disruption of OsSULTR3; 3 reduces phytate and phosphorus concentrations and alters the metabolite profile in rice grains. New Phytologist. 2016;211(3):926–39. pmid:27110682