Abstract
Phosphorus (P) in plants is taken from soil as an inorganic phosphate (Pi) and is one of the most important macroelements in growth and development. Plants actively react to Pi starvation by the induced expression of Pi transporters, MIR399, MIR827, and miR399 molecular sponge – IPS1 genes and by the decreased expression of the ubiquitin-conjugating enzyme E2 (PHOSPHATE2 – PHO2) and Pi sensing and transport SPX-MFS genes. The PHO2 protein is involved in the degradation of Pi transporters PHT1;1 (from soil to roots) and PHO1 (from roots to shoots). The decreased expression of PHO2 leads to Pi accumulation in shoots. In contrast, the pho1 mutant shows a decreased level of Pi concentration in shoots. Finally, Pi starvation leads to decreased Pi concentration in all plant tissues. Little is known about plant Pi homeostasis in other abiotic stress conditions. We found that, during the first hour of heat stress, Pi accumulated in barley shoots but not in the roots, and transcriptomic data analysis as well as RT-qPCR led us to propose an explanation for this phenomenon. Pi transport inhibition from soil to roots is balanced by lower Pi efflux from roots to shoots directed by the PHO1 transporter. In shoots, the PHO2 mRNA level is decreased, leading to an increased Pi level. We concluded that Pi homeostasis in barley during heat stress is maintained by dynamic changes in Pi-related genes expression.
Introduction
Phosphorus (P) is an essential macronutrient for plant growth and development. It is a component of vital molecules such as ATP, DNA, RNA, phospholipids, and phosphorylated sugars, making it crucial to cellular metabolism (), energy conversion, and cell structure. Plants take up P solely as inorganic phosphate ions (Pi) from low concentrations in the soil solution. Most soil P is adsorbed, immobilized in organic matter, or precipitated as minerals (Poirier and Bucher, 2002).
Plants have a range of strategies to cope with a limiting Pi supply, including (i) favoring root growth over shoot growth, (ii) increasing the activity of high-affinity Pi transporters, (iii) exuding protons and organic anions to liberate Pi in the rhizosphere, and (iv) secreting acid phosphatases and ribonucleases to release Pi from organic compounds (). Phosphate-deficient plants mobilize Pi from different subcellular compartments and organs and increase their Pi use efficiency by promoting metabolic bypasses that favor Pi-releasing reactions (; ).
The uptake and redistribution of Pi is mediated by many different Pi transport proteins. These transporters have been classified into four families (dependent on their cellular location): PHT1 (plasma membrane), PHT2 (plastid inner envelope), PHT3 (mitochondrial inner membrane), and PHT4 (plastid inner envelope) (; ). The main role in Pi transportation from soil to plant roots is played by proteins belonging to the PHT1 Pi transporter family. Ten PHT1 genes have been identified in barley, and some of them have almost identical sequences; i.e., HvPHT1;1, and its paralogs PHT1;2, PHT1;9, and PHT1;10. These paralogs are expressed only in roots and are highly responsive to Pi limitation (). HvPht1;6 is expressed in roots and in the older leaves of shoots (Preuss et al., 2010). The HvPHT1;8 gene is activated in the presence of arbuscular mycorrhizal fungi (). In Arabidopsis PHT1;1 and PHT1;4, members of the PHT1 Pi transporter family play a central role in Pi acquisition (Shin et al., 2004). Another Pi transporter gene (PHO1) is primarily expressed in the root stelar cells and is involved in Pi loading into the xylem (; Wege et al., 2016), and the pho1 mutant shows a low Pi level in shoots (). Rice PHO1;2 is involved in the long-distance transport of Pi from roots to shoots (Wang et al., 2015). SPX-MFS proteins are, in turn, involved in Pi sensing and transport. In rice, OsSPX-MFS1 and OsSPX-MFS2 are targeted by Pi-responsive miR827 (Wang et al., 2012). This microRNA in Arabidopsis targets NLA (Nitrogen Limitation Adaptation) mRNAs that encode E3 ubiquitin ligase. Recently, it was shown that NLA protein works together with PHO2 (PHOSPHATE2, ubiquitin-conjugating enzyme E2), and they are both responsible for PHT1;4 degradation via the 26S proteasome (). PHO2 is involved in defining cellular Pi homeostasis and is responsible for the ubiquitin transfer to the protein substrate via the E3 enzyme (ubiquitin-protein ligase) (Smalle and Vierstra, 2004). The PHO2 protein itself is involved in the degradation of the PHT1;1, PHT1;2, PHT1;3, PHT1;4, PHO1, and PHF1 (PHOSPHATE TRANSPORTER TRAFFIC FACILITATOR1) (; ). Thus, it is a general negative regulator of Pi uptake. The response of plants to Pi deprivation requires specific sensing mechanisms to monitor Pi status as well as signaling mechanisms leading to transcriptional and post-transcriptional regulation. PHR1 from Arabidopsis thaliana is a MYB-related transcription factor (TF) that regulates the expression of Pi-starvation induced genes through binding to the P1BS (PHR1-binding sequence) sequence, a DNA motif in the promoters of many Pi-related genes (; Sobkowiak et al., 2012). There are three P1BS-like elements within the barley PHT1;1 promoter that are potentially recognized by PHR1 (Schunmann et al., 2004a). Moreover, in the Arabidopsis IPS1 promoter, there are two P1BS motifs (). In rice, PHR1 and PHR2 (an ortholog of AtPHR1) are involved in Pi-related gene regulation (Wang et al., 2014). Although AtPHR1 and OsPHR2 regulate the expression of Pi-related genes, they are rather stably expressed and do not belong to the group of Pi-stress responsive genes (Wang et al., 2014). The Pi homeostasis regulatory system also comprises the actions of microRNA399 and microRNA827 (; ). miR399 guides the RISC complex to target PHO2 mRNA. Furthermore, a riboregulator IPS1 can bind and quench miR399 activity because it is not cleaved by the miRNA due to the base pair mismatches, which prevents PHO2 mRNA against complete degradation (). Also, genes such as Arabidopsis SIZ1 (SIZ/PIAS-type SUMO (Small Ubiquitin-related Modifier) E3 ligase) are involved in Pi response (). Rice mutant Ossiz1 shows an increase of Pi concentration in both root and shoot tissue (Wang et al., 2015). In Arabidopsis, SIZ1 is responsible for the SUMOylation of PHR1 (). Although OsSIZ1 itself is not very responsive to Pi starvation, it regulates the expression of other Pi-related genes, like MIR399a, PHO2, PHR2, or Pi transporters (Wang et al., 2015).
Heat stress has a big impact on plant growth and development. High temperature affects flowering time, reduces number, and leads to a reduction of size as well as an increase of deformity in floral organs (Zinn et al., 2010). Heat stress is also responsible for changing gene expression, including microRNAs and (as a consequence) their target mRNA levels. Barley microRNAs like miR160a, 166a, 167h, and 5175a are upregulated in heat stress, and consequently, the appropriate target genes are downregulated ().
Transcriptomic data analysis derived from 1-h heat-stressed plants shows dramatic changes in Pi-related gene expression in roots as compared to unstressed controls. Based on their expression changes, a network of particular gene expression regulation and its influence on Pi homeostasis can be proposed. The expression of the HvPHT1;1, HvPHT1;4, and HvPHT1;6 genes is downregulated in roots, which therefore should have decreased Pi concentrations. However, this is not the case; possibly, because the expression of the PHO1 gene is concurrently decreased in the root. A lower PHO1 level can lead to lower Pi efflux from roots to shoots. Pi concentration in roots (in control and in heat treated plants) was always on the same level with one exception at 4 h time-point. The observed increased Pi concentration was correlated with significant PHT1;4 up-regulation. Moreover, transcriptomic data reveals that PHO2 and SPX-MFS are downregulated in roots, but not PHR1, PHR2, nor SIZ1. In heat treated shoots at two time-points: 1 h and 12 h we observed increased Pi concentration. It was correlated with PHO2 and PHT1;6 genes expression profile changes. At these time-points, the barley shoots showed increased Pi concentration; this agrees with previous data showing that PHO2 silencing leads to an increase of Pi concentration in barley shoots (). Since we detected neither mature miR399 nor significant changes in the expression of mature miR827 in barley shoots, we concluded that the changes observed resulted from transcriptional regulation. The transcriptomic data was mostly confirmed by the RT-qPCR results. The changes in Pi concentration in barley shoots at 1 and 12 h heat time-points are abolished in other hours of heat stress, leading to Pi-concentration stability. Summarizing, the changes in expression of Pi-related genes after heat stress are not chaotic but strictly controlled, regarding what is necessary for the plant to maintain Pi homeostasis. During Pi re-supply, in barley roots we observed significant downregulation of the PHT1;1, PHT1;4, PHT1;6, PHO1, PHO2 but not PHR1, SPX-MFS. In contrast to heat stress condition, at 1 h after Pi re-supply we observed increased expression of PHO1 in Pi-resupplied plants compared to the control ones. We concluded that fine-tuning changes of PHO1 expression in barley roots prevents Pi over-accumulation.
Materials and Methods
Plant Growth Conditions
In the heat experiment, barley plants cultivar Rolap were grown under conditions as previously described (), and the heat stress conditions were established also as previously described () – except that the soil water content was kept at 70% to prevent drought stress. The soil/send mixture (7:2) was amended with 35 ml of a medium containing: 28 mM NH4NO3, 20 mM KH2PO4, 4 mM K2SO4, 16 mM MgSO4x7H2O, 53 μM H3BO3, 8 μM CuSO4, 4 μM MnSO4xH2O, and 120 μM FeCl3x6H2O. Two-week-old barley plants exposed 48 hours to heat stress were harvested at 1, 3, 4, 5, 6, 7, 8, 12, 24, and 48 h after the initiation of 35.5°C heat stress. Unstressed control plants were also grown (at 22°C). In the P stress experiment, barley plants cultivars Rolap and Black Hulless were grown at different Pi regimes in a 7:2 (cv. Rolap) and 1:1 (cv. Black Hulless) (w/w) soil-sand mixture containing 8 mg P kg-1 soil (extraction by 0.5 M NaHCO3, ()). The soil received either nil or 60 mg P kg-1 that was mixed into the soil as KH2PO4. Plants were grown under controlled conditions at 16 h/8 h day/night and 22°C (cv. Rolap) or 21°C/15°C (cv. Black Hulless). For barley cv. Rolap at 2 weeks after sowing, half of the plants at nil P received 60 mg of P/kg soil as a KH2PO4 solution. Three pots of each P treatment were harvested sequentially as follows: P sufficiency (control), P limitation, P replenishment, +1 h, +3 h, +12 h, +24 h and +48 h. Each pot contained two barley plants. For barley cv. Black Hulless at both 10 and 17 days after sowing, each pot received 45 mg N/kg as an NH4NO3 solution. At 20 days after sowing, half of the plants at nil P received 60 mg of P/kg soil as a KH2PO4 solution. Three pots of each P treatment were harvested sequentially as follows: P sufficiency and P limitation, 10 days post sowing (das), 15 das, 20 das +1 h, 21, and 23 das; + P replenishment, 20 das +1 h, 21 and 23 das. Each pot contained three barley plants.
Phosphate Measurement
The level of Pi in plant root and shoot samples was monitored by an inorganic P assay utilizing malachite-green/ammonium molybdate in 4 M HCl and 34% natrium citrate*2H2O solutions (). Fifty milli gram of liquid N2 frozen plant tissue was homogenized in a glass homogenizer in 1 ml of ice-cold 1 M HCl. After centrifugation, the supernatants were used for a micro-plate assay at room temperature. The standard curve was constructed from a P-stock solution of 1 nmol/μl KH2PO4 in two replicates. The samples were measured in two technical and three biological replicates. The OD660 was read () using either a SpectraMax M5 Microplate Reader (Molecular Devices, LLC, USA) or Infinite F200 Pro (TECAN, Switzerland).
RNA Isolation
For the barley heat stress experiment, RNA isolation procedure was described previously (, ). In brief, the RNA isolation method utilized a mixture containing a 38% v/v phenol solution saturated with 0.1 M sodium acetate (Roti Aqua Phenol, Roth, Karlsruhe, Germany), supplemented with 0.8 M guanidine thiocyanate, 0.4 M ammonium thiocyanate, 0.1 M sodium acetate, 5% v/v glycerol, 0.5% sodium lauroylsarcosine, and 5 mM EDTA. To remove polysaccharides, the Ambion Plant RNA Isolation Aid (Thermo Fisher Scientific, Lithuania) was added, with the resulting supernatant being purified using a Direct-zolTM RNA MiniPrep kit according to the manufacturer’s protocol (ZYMO RESEARCH, The Epigenetics Company, USA).
cDNA Synthesis and PCR Reactions
cDNAs used in RT-PCR and RT-qPCR analysis were synthesized using an oligo(dT)18 primer, SuperScript III Reverse Transcriptase (Invitrogen, USA) and 3 μg of Turbo DNase (Ambion, Lithuania) treated RNA as a template. cDNAs were diluted four times, and 1 μl was used in RT-qPCR and diluted five times, with 2 μl used for RT–PCR amplification. PCR amplification of either an ubiquitin or ADP cDNA fragment were used as a positive control and control of the sample loading. The purity of cDNA samples containing no genomic DNA was controlled by PCR amplification of a barley HvPHT1;1; GenBank accession no. AF543197.1 promoter fragment (Schunmann et al., 2004b; ).
PCR Amplification
Primers for RT-qPCR amplification of HvPHT1;1/HvPHT1;9, PHR1, PHO2, IPS1, and ubiquitin were previously described (). The rest of the used primers are summarized in Table 1.
Table 1
| Name | Sequence 5′ to 3′ | Task |
|---|---|---|
| APO175 | GGGATAACATCCCTGCTTCTGGTAGTC | 3′ RACE, PHR1 |
| APO176 | CATCCCTGCTTCTGGTAGTCAGATCC | 3′ RACE, PHR1 |
| APO177 | ATGAGATGAAGCTGGCTGGTTGAC | 5′ RACE, PHR1 |
| APO178 | GAATTGGAAGGCTGAACCATGGAC | 5′ RACE, PHR1 |
| APO273 | CCATGATGTACATTTTGCACAAACCACCTA | 3′ RACE, PHO2 |
| APO274 | CACGTACATATCAGATGATGGCTGCAAGAG | 3′ RACE, PHO2 |
| APOYY1 | CTCGGTCACTGAAGAAGAGGGAGCA | 5′ RACE, PHO2 |
| APOYY2 | CCCCTCCAAGAAACGACCAGC | 5′ RACE, PHO2 |
| APO392 | TGTAAAACCACGGCACAGAA | PCR, ADP |
| APO410 | CTTGAAGCGTATCGAGGAC | PCR, ADP |
| APO623 | AAGGTCAAGGCAAGGAGGAA | RT-qPCR, pri-miR399c |
| APO624 | CTGCCAATAAAGAGGAGCCC | RT-qPCR, pri-miR399c |
| APO627 | CAGGGCAACTCTCCTTTGGCA | Probe, miR399c |
| APO697 | TGTTTGCTGATGGTCATCTAA | Probe for miR827 |
| APO698 | GCAACTCCCTCTTCGTGCT | RT-qPCR, Pht1;4 |
| APO699 | TTCGTGCCTGGTCCTCGTT | RT-qPCR, Pht1;4 |
| APO700 | CAAAGGCAACTGACGAGTGA | RT-qPCR, PHR1 |
| APO701 | ATGACTGAGGAGCGAAAGGA | RT-qPCR, PHR1 |
| APO702 | TTGAAGTCCGCAGATCACAG | RT-qPCR, NLA |
| APO703 | ACTCGCTCCATCTGCATTCT | RT-qPCR, NLA |
| APO704 | GTAGGCCTGACCTGCATCTG | RT-qPCR, SPX-MFS |
| APO705 | ACCAATGGCTGAGGAAACAG | RT-qPCR, SPX-MFS |
| APO706 | Described by () | RT-qPCR, Pht1;6 |
| APO707 | Described by () | RT-qPCR, Pht1;6 |
| APO708 | Described by () | RT-qPCR, Pht1;1 |
| APO709 | Described by () | RT-qPCR, Pht1;1 |
| APO739 | ATGGGTGCAGTTCTCTGAATG | RT-qPCR, PHO1 |
| APO740 | CTGAAGAACCTTGTCAGACG | RT-qPCR, PHO1 |
| APO741 | AACTTCATGAGCGTTTTGTGG | RT-qPCR, PHR2 |
| APO742 | TCGGGCAGTTCTGTACTTCT | RT-qPCR, PHR2 |
| APO743 | AGGATGCTCTTGCTCGTGTT | RT-qPCR, SIZ1 |
| APO744 | CAGCGGTCTTCATTCTGGAT | RT-qPCR, SIZ1 |
Sequences of used primers.
For RT-PCR, “Touchdown” PCR was applied (Tolia and Joshua-Tor, 2006). RT-qPCR was performed as previously described ().
RACE and RLM-RACE were performed using a SMARTerTM RACE cDNA Amplification Kit (Clontech, Mountain View, CA, USA) and GeneRacer kit (Invitrogen), respectively (according to the manufacturers’ protocol).
For RT-qPCR analysis, an Applied Biosystems 7900HT Fast Real-Time PCR System and SYBR Green Master Mix (Applied Biosystems) were used. Data was normalized to ADP levels. The results were presented as either log102(-ΔCt)+7 or as fold changes as previously described (). The R2 values of analyzed data (≥0.997) were calculated with LinRegPCR software (Ramakers et al., 2003). Three biological replications were analyzed.
Northern Blot
Experiments were performed using either 50 μg RNA enriched in small RNA isolated from barley shoots (Figure 6), according to (Szarzynska et al., 2009; ) or 7.5 μg RNA enriched in small RNA isolated from barley roots (Figure 10), according to ().
Transcriptome Analysis
Total RNA was isolated using the procedure described above. Isolated RNA samples were Turbo DNAse (Ambion) treated and then phenol/chloroform purified. Three biological replications of barley shoots and two biological replications of barley roots harvested after 1 h of heat treatment were analyzed (as well as the control samples). Transcriptome libraries (strand-specific) were constructed and then sequenced by BGI Tech Solutions (Hong Kong) Co., Ltd. Clean reads were mapped to the reference barley genome 1 (Ensembl Plants, version: 082214v1) using TopHat2 software (). Statistical analysis was performed to identify gene-expression differences between the samples studied (TEAM, 2010; ). Numbers of reads for each gene mapped to the reference genome were counted using HT-Seq software (). The script was run for each fastq file for every biological replicate from every condition. Afterward, all of the results were gathered in tables – one table per one comparison (e.g., a table with two biological replicates from roots treated with high temperature and two replicates from control roots). These tables were then fed in a DeSeq – R package suitable for analysis of differential gene expression based on the negative binomial distribution (). The data used in this study have been deposited under NCBI GEO accession GSE82134.
Gene Identification
Transcriptomic analysis met some difficulties caused by sequence similarities between gene paralogs. For instance, the MLOC_28370 gene encodes a 369AA protein identical to HvPHT1;1 (GenBank AAN37900.1; AF543197), HvPHT1;2 (AAO72434.1, AY187020), and HvPHT1;9 (GenBank CAP17759; AM904733), both on nucleotide and amino-acid levels. Thus, transcriptomic reads reflect expression of these three Pi transporters. To distinguish the expression of the PHT1;1 gene from their paralogs particular Pi transporter, two sets of RT-qPCR primers were used for analysis. We analyzed both PHT1;1/PHT1;9, and concrete PHT1;1 gene expression. We identified the putative barley PHR1 gene by comparison with the well-known Psr1 (Phosphate starvation response 1) and PHR1 genes from Chlamydomonas reinhardtii, rice, and Arabidopsis. We found several barley ESTs (BU993345, BU970600 and BF621611). In further steps, these ESTs were clustered into one mRNA fragment. Based on this mRNA fragment sequence, a pair of primers was designed. The amplified PCR product (923 bp in length) – i.e., fragment of HvPHR1 – was sequenced as previously described (). To determine full-length HvPHR1, 5′ and 3′ RACE experiments were conducted. The coding sequence had 1356 bp and can encode a 451AA sequence that has 99% identities to MLOC_5585. Barley PHO1 – MLOC_12153.1 contains an amino acid sequence with 298/477 (62%) and 432/475 (91%) identity (blastp analysis) to the Arabidopsis PHO1 protein (GenBank NP_188985.2) and Brachypodium distachyon phosphate transporter PHO1-2 (GenBank XP_003570364.1), respectively. We found contig TCONS_00089457 that contains the mature barley miR399c sequence. The pre-miR399c sequence was identified in the transcriptomic data derived from heat-treated shoot tissue – TCONS_00089457. This sequence was mapped to morex_contig_188578 CAJW010188578 carma = 2HL (ipk-gatersleben database). The longest derived sequence that formed a stem-loop structure was used for construction of the pre-miR399c. Using 5′ RLM-RACE, two TSS of the barley PHO2 gene were identified at positions 447916090 (+) and 447916332 (+) on the chromosome 1. Promoter region (1422 bp) upstream of the 2nd TSS (heterogenic) was used for promoter elements analysis. Later, a PHO2 genomic sequence was establish based on 5′ and 3′ RACE analysis and morex_contig_38340 CAJW010038340 carma = 1H DNA sequences deposited at the ipk-gatersleben database.
Software
The alignment and trees were constructed using CLC Main Workbench 7 software with the following parameters: (Kimura-2 parameters) and the consensus trees (neighbor-joining) with bootstrap value = 100 replications. Stem-loop structures were constructed using Folder Version 1.11 software with a RNAfold algorithm2. Significance of the results (p-value) was analyzed using student t-test. Statistical RT-qPCR analyses were performed using log102(-ΔCt)+7 values.
Database Searching
We searched the following databases: http://plants.ensembl.org/index.html, www.mirbase.org, and GenBank and IPK Gatersleben3. For promoter regulatory element analysis, a New PLACE (A Database of Plant Cis-acting Regulatory DNA Elements) database was used ().
Accession Numbers
Studied genes: Ensembl Plants database – Heat shock protein 90.1 – MLOC_5618, other accession numbers are deposited at Table 2. GenBank database: HvPHT1;1 – AF543197, AAN37900.1; HvPHT1;2 – AAO72434.1, AY187020; HvPHT1;4 – AY187024.1, AAO72437.1; HvPHT1;6 – FM866444.1, CAS02288; HvPHT1;9 – AM904733, CAP17759; HvPHR1 – GQ337895, ACT34981; HvPHR2 – AK363485.1, BAJ94688.1; HvPHO1 – AK364904.1, BAJ96107; HvPHO2 – AK249253 (cv. Haruna Nijo); HvPHO2 – GQ861514.1, ACV72276 (cv. Black Hulless); OsPHO2 – LOC_Os05g48390 (AU032431); AtPHO2 – AT2G33770.1; HvNLA – AK354779, BAJ85998.1; HvIPS1 – GQ301528; HvSIZ1 – AK366345.1, BAJ97548; ADP – ADP-ribosylation factor 1-like protein gene – AJ508228.2. The use of the Hsp17 gene as a “heat” stress gene marker (GenBank: AK252765) was described previously ().
Table 2
| Gene | Ensembl Plants | Function | Notes |
|---|---|---|---|
| PHT1;1 | MLOC_28370.1 | Pi transporter | four paralogs in barley |
| PHT1;4 | MLOC_6187 | Pi transporter | |
| PHT1;6 | MLOC_80912.2 | Pi transporter | |
| PHR1 | MLOC_5585 | TF, ortholog of OsPHR1 | |
| PHR2 | MLOC_60198.1 | TF, ortholog of OsPHR2 | |
| PHO1 | MLOC_12153.1 | Pi transporter, homologous to rice PHO1;2 | |
| PHO2 | MLOC_53410.2 | ubiquitin-conjugating enzyme E2, catalytic (UBCc) domain | targeted by miR399 |
| IPS1 | not identified in Ensembl Plants | binds miR399 | position chr 4, 510585405-510586016 |
| NLA | MLOC_52462.2 | E3 ubiquitin-protein ligase, SPX_BAH1-like, RING domains | no miR827 binding site in barley |
| SPX-MFS | MLOC_57566.4 | Pi sensing and transport SPX, MFS domains | targeted by miR827 |
| SIZ1 | MLOC_38182.4 | PHR1 sumoylation | |
| Pre-miR399c | not identified in Ensembl Plants | miR399c targets PHO2 | position chr 2, 558571927-558572025 |
Analyzed Pi-related genes with their Ensembl Plants database numbers and characteristics.
Barley genes PHR1, PHR2, PHO1, NLA, SPX-MFS, SIZ1, and MIR399c were identified based on their similarity to known orthologs and then allocated to a particular MLOC number.
Results
Identification of Barley Pi-related Genes
GenBank and Ensembl Plants databases were searched to identify barley Pi-related genes. Several Pi-related barley genes like Pi transporters (PHT1;1, PHT1;4, PHT1;6) and PHR1, PHO2 were described previously (Schunmann et al., 2004a,b; ; Preuss et al., 2010). Table 2 shows all barley genes identified by us as well as other Pi-related barley genes. A phylogram was created to show the similarities of the identified barley PHR1/PHR2 TFs to the well-known PHR proteins from rice and Arabidopsis (Figure 1A) (Wang et al., 2014, 2015). Additionally, we have included the Arabidopsis PHR1-like protein (PHL1) and other MYB-CC proteins ().
FIGURE 1
Two splice variants of PHO2 barley mRNA encoding 847AA and 544AA long proteins are deposited in Ensembl Plants. We compared PHO2 CDS derived from MLOC_53410.2, with PHO2 CDS derived from cv. Haruna Nijo, cv. Rolap, and cv. Black Hulless, and found that CDS from Haruna Nijo, and Rolap were identical, differing from Black Hulless in seven nucleotide substitutions (three synonymous and four non-synonymous mutations). The rice PHO2 ortholog contains 11 exons and encodes an 876AA protein (
FIGURE 2

Pi-related protein structures with depicted unique domains. PHT1 proteins possess MFS (Major Facility Superfamily) domain characteristic for the secondary membrane transporter family (Wang et al., 2012); PHR1 contains LHEQLE motif, myb-like DNA-binding, and SHAQKYF class domains. PHO1 protein possesses SPX and EXS domains (Erd1-Xpr1-Syg1). PHO2 contains UBCc domain (ubiquitin conjugating enzyme); NLA protein possesses additional SPX domain of the E3 ubiquitin-protein ligase BAH1/NLA and RING-finger (Really Interested New Gene) domain; SPX-MFS has SPX and MFS domains; SIZ1 has following domains: SAP (SAF-A/B, Acinus and PIAS), plant homeodomain (PHD) finger, and MIZ/SP-RING (Msx – Interacting – Zinc finger) domain. Protein structures were constructed based on the appropriate protein sequences, whose accession numbers are deposited in Table 2 – with the exception of PHO1 (protein – BAJ96107) and SIZ1 (protein – BAJ97548). The black bar represents 100 amino-acids.
Ten MIR399 genes and one MIR827 gene have been identified in the barley genome (
FIGURE 3

Barley pre-miRmiR399 structure. (A) Barley pre-miR399 stem-loop structure based on MI0017933 sequence – miRBase; (B) Alignment of the barley PHO2 5′ UTR and reverse complement miR399 related sequences. MI0017933 – miRBase, barley pre-miR399, MIMAT0020542 – miRBase barley microRNA399, fragment of TCONS_00089457 – Rolap, transcriptome identified pri-miR399c; (C) pre-miR399c stem-loop structure based on the TCONS_00089457 sequence (AGTCCAGTTTCAGGGCTCCTCTTTATTGGCAGGGAGCGTGTGAGGCCATGTAGCCTCATTCAGCGCTCTGCCAAAGGAGAGTTGCCCTGTAACTGGAAA).
Our bioinformatics search allowed us to identify all known important players involved in Pi homeostasis maintenance in barley plants.
Heat Stress Affects the Expression of Pi-related Genes
To test the heat-stress influence on Pi-related gene expression and Pi concentration, 2-week-old barley plants were stressed by exposure to a 35.5°C temperature for two days. Root and shoot samples were collected after 1, 3, 4, 5, 6, 7, 8, 12, 24, and 48 h.
Transcriptome deep sequencing was applied to RNA isolated from samples exposed to one hour of heat stress and from un-stressed control plants. Subsequently, our analysis was focused on the expression of Pi homeostasis maintenance-related genes. After one hour of heat stress, the expression of PHT1;1, PHT1;4, PHT1;6, PHO1, PHO2, and SPX-MFS genes was decreased in roots. Only the NLA gene showed an upregulated expression in the barley roots. The expression pattern of the PHR1, PHR2, and SIZ1 genes was not significantly influenced. In contrast, the expression of most analyzed genes in shoots remained unchanged after one hour of heat stress. The only downregulated Pi-related gene was PHO2 (Figure 4). The changes revealed in the transcriptomic data were confirmed by RT-qPCR (Supplementary Figures S1B–F,H–O,Q,R). The downregulated expression of genes in roots appeared to be permanent, as the SPX-MFS and PHO2 genes remained downregulated after 48 h of heat stress. Since PHT1;1 and PHT1;9 CDSs have identical sequences, RT-qPCR designed for their 3′ UTR fragment amplification was performed, which allowed us to discriminate between the expression of these two genes. The data shows that both PHT1;1/PHT1;9 (and also the PHT1;6, PHO1, PHR2, and SIZ1 genes) stay at the lower expression level as compared to control plants. The PHT1;4 gene shows a more-complex expression pattern; it was downregulated at 1 and 3 h, but up-regulation between 4 and 12 h of heat duration was also observed (Supplementary Figure S1C). In roots at 4 h time-point we observed the increased Pi concentration (Figure 5A). This correlated with PHT1;4 significant up-regulation at this time-point. Since at 6 h time-point also PHT1;4 gene expression was higher in heat stressed plants compared to the control ones, other factors could contribute to a mechanism of keeping the Pi concentration on the same level. The NLA gene was always upregulated, with the highest expression level at 24 h (Supplementary Figure S1H). Surprisingly, IPS1 was also upregulated after 6 h of heat stress, with the highest expression level at 48 h. The expression of PHO2 expression in roots and shoots was always downregulated, with the highest decrease at 12 h and 24 hour in roots and shoots. The PHT1;6 expression in shoots shows the highest decrease in expression at the 12 h time point (Supplementary Figure S1M). In the case of other shoot-expressed Pi-related genes, the expression remains almost at the same level. The only exception is present at the 48 h time point for NLA, SPX-MFS, and PHR1 (also 12 h) genes, which are downregulated. IPS1 expression is almost at the same level during the first eight hours but later decreased. Transcriptomic data revealed that in shoots there were no PHT1;1, PHT1;4 genes expression; PHO1 expression was also very low compared to the root expression. That is why even subtle changes in PHO2, PHT1;6 genes expression could influence Pi concentration. At 1 and 12 h time-points we observed that both these genes had been affected by heat stress. At 1 h time-point transcriptomic data showed significant decreased expression of PHO2. RT-qPCR confirmed the transcriptomic data but probably the fold change was too low to be significant in RT-qPCR analysis. Interestingly RT-qPCR showed significant increased PHT1;6 gene expression and it could be coupled with an increased Pi level (Figure 5B). At 12 h time-point we observed significant decreased expression of PHO2 and PHT1;6. Previously we noted that decreased level of PHO2 gene in barley led to an increase of Pi concentration (
FIGURE 4

Barley Pi-related gene expression based on NGS transcriptomic data under heat stress and control conditions (1-h duration). (A) Fold changes of Pi-related gene expression in barley roots and shoots derived from heat stress compared to control conditions. (B) Average reads number of the Pi-related transcripts. Hsp90.1 was used as a control of heat-stress induction. ∗p < 0.05, ∗∗p < 0.005. Blue bars – gene expression in roots, red bars – gene expression in shoots, Transcriptomic analysis – n = 3 for shoots; n = 2 for roots.
FIGURE 5

Pi concentration. (A) in barley roots and (B) in shoots after heat stress as compared to control plants. Blue and red bars represent control and heat-treated samples. ∗p < 0.05, ∗∗p < 0.005 (t-student test). Pi concentration n = 3, two technical replications.
FIGURE 6

(A) miR399 and (B) miR827 expression levels in barley shoots. Northern blot was performed using probes against either miR399c or miR827. U6 was used as an RNA loading control.
FIGURE 7

Barley plants 48 h after treatment. (A) 2-week old barley 48 h after heat treatment. (B) Phenotypes of 2-week old barley plants 48 h after Pi re-supply.
FIGURE 8

Leaves of the barley plants one week after heat stress end. The (left) represents control leaves; (right) heat-treated leaves. 1 and 4 denote leaf no. 1 and leaf no. 4, respectively.
Dynamic Changes in Expression Pattern of Barley Pi-Related Genes upon Phosphate Starvation and Pi Re-supply
Analysis of Pi-related barley gene expression under heat stress revealed fast and dramatic changes at the transcriptional level, which finally led to the stabilization of Pi concentration in the plant tissues. To learn more about the regulation and pattern of expression of Pi-related genes in barley, we studied the same set of genes for their expression pattern in roots under control conditions, Pi starvation, and Pi re-supply. Plants were grown at P-limiting conditions and then exposed to P sufficiency. Time-course changes in gene expression were compared to the changes in parallel sets of plants maintained at P-limiting or P-sufficient conditions (control conditions).
In 2-week old barley cv. Rolap PHT1;1, PHT1;4, and PHT1;6 showed increased expression under low Pi conditions compared to the control conditions. Pi-resupply down-regulated Pi transporters expression what was observed after 3 h of the Pi re-supply (Figure 9). Especially PHT1;6 gene was sensitive to the Pi re-supply. Its expression after 48 h was even lower in Pi re-supplied plants compared to the control ones (Figure 9C). After 48 h of the Pi-resupply PHT1;1 gene expression was not distinguishable from plants grown under low Pi. During heat stress we observed that PHT1;1 gene was the most affected PHT1 transporter gene by heat stress. It showed plant flexibility in gene expression regulation upon different stresses in order to control Pi homeostasis. Among two genes which mRNA levels are controlled by microRNA, SPX-MFS showed higher sensitivity to two abiotic stresses applied. It was constantly downregulated during heat stress and up-regulated after Pi-resupply at 3 h and 48 h time-points (Figure 9G). PHO2 expression was even lower in Pi re-supplied plants compared to the control ones (Figure 9F). It showed that in the experimental conditions Pi did not influence PHO2 expression. There was no effect of Pi concentration on PHR1. Compared to heat stress we observed different PHO1 expression change (Figure 9E). During heat stress at 1 h time point PHO1 expression was down-regulated but after Pi re-supply its expression was even increased compared to the control plants. It could be explained by the fact that plants produced more PHO1 protein to transport available Pi from roots to shoots. After 12 h PHO1 expression in Pi re-supplied plants reached the control level. The weight of barley plants from low Pi conditions was 62% of the control plants weight. The phenotypes of the Pi control, Pi limitation, Pi re-supplied plants are presented in Figure 7B.
FIGURE 9

Barley cv. Rolap Pi-related gene expression under different Pi regime: control, Pi-starvation and Pi re-supply conditions. RT-qPCR analyses was performed for the expression pattern of the following genes: (A)PHT1;1, (B)PHT1;4, (C)PHT1;6, (D)PHR1, (E)PHO1, (F)PHO2, (G)SPX-MFS. The expression levels were analyzed + 1, + 3, + 12, + 24, + 48 h after Pi re-supply. Two, 2-week old barley plants per pot represented one sample; three samples were analyzed at each time point and treatment. Colored stars represents statistical significance of the gene expression differences: green
– differences between control and low Pi plants; blue
– differences between low Pi and Pi re-supplied plants; red
– differences between control and Pi re-supplied plants. ∗p < 0.05, ∗∗p < 0.005.
In our previous work we silenced PHO2 gene using VIGS approach and observed Pi concentration increase in barley shoots and the PHO2 downregulation in barley roots (
FIGURE 10

(A) miR399 and (B) miR827 expression levels in barley roots. Northern blot was performed with probes against either miR399c or miR827. 1, 4, 7 – plant root material from low Pi concentration culture; 2, 5, 8 – plant root material from Pi re-supply conditions; 3, 6, 9 – plant root material from control conditions. U6 was used as RNA loading control, values below the miR bands represent calculated miR expression level normalized to U6 expression.
Table 3
| Harvest time | Shoot fresh weight (g/pot) | ||
|---|---|---|---|
| Control plants | low Pi | Pi re-supply | |
| 10 das | 1.33 ± 0.06 | 1.17g ± 0.15 | – |
| 15 das | 3.67 ± 0.45 | 2.53 ± 0.38 | – |
| 20 das+1 h | 8.73 ± 1.24 | 4.57 ± 0.32 | 5.67 ± 0.67 |
| 21 das | 11.10 ± 0.46 | 4.43 ± 0.29 | 7.60 ± 0.53 |
| 23 das | 14.77 ± 1.55 | 5.80 ± 4.16 | 11.43 ± 1.69 |
The weight of control, low Pi, and Pi-supply conditions growing plants.
Values are means ± SD; n = 3.
FIGURE 11

Twenty-three-day-old barley cv. Black Hulless plants grown under different Pi regime in soil with low Pi concentration, after Pi re-supply and under control conditions.
Discussion
Studies of the expression of phosphate-related genes in crops are crucial to understand the complexity of adaptive reactions in plants grown under phosphate depletion (
After one hour of heat stress, all analyzed Pi-related genes in the shoots have stable expression compared to the roots, with only one exception: PHO2 expression was downregulated significantly after one hour of heat treatment. Previously, we observed that the silencing of the PHO2 gene resulted in an increased Pi concentration (
In further experiments, we analyzed plants grown in soil with a different Pi supply. HvIPS1, HvPHT1;1, HvPHT1;4, HvPHT1;6, and MIR399c showed a clear response to Pi starvation. After Pi replenishment, we observed a reduction of HvPHT1;1, HvPHT1;4, HvPHT1;6, HvIPS1, and pri-miR399c expression levels. In contrast to the heat stress Pi re-supply treatment did not downregulate PHO1 gene expression (with one exception 12 h time-point, barley cv. Rolap). We conclude that barley plants utilized two strategies to regulate Pi concentration. Upon heat stress both PHT1;1 and PHO1 genes are downregulated and Pi concentration is stable. Pi re-supply treatment downregulated HvPHT;1 expression but not PHO1. Its expression is even higher at + 1 h time-point (Figure 9E). This allows for Pi concentration increments but prevent Pi over-accumulation. In Black Hulless 10- and 15-day-old plants, we observed higher HvPHO2 expression in plants grown in a high Pi supply (compared to low Pi conditions). The data showed that HvPHO2 expression was influenced by the Pi content in soil and correlated with an increase in pri-microRNA399c expression. PHO2 expression was especially affected by the concentration of Pi in the first two weeks of plant growth. MiR399 and miR827 are the only microRNAs that bind to the 5′ UTR of mRNAs in Arabidopsis (
It was previously shown that, at an ambient temperature (23°C), miR399a, b, and d are more abundant by 1.30–1.31-fold than at 16°C (
Table 4
| motif | recognized by | position within promoter |
|---|---|---|
| CArG | MADS-box TF | -1299, -1290 |
| CGT[G/A] | NAC TF core binding signals | five motifs within 1422 nt promoter sequence |
| RYCGAC | CBF (C-repeat (CRT) binding factors) | -913; -908 |
| GCCGAC, DRE/CRT core, dehydration-responsive element/C-repeat | DREB1A | -913; -908 |
Motifs present in the barley PHO2 promoter.
Our data suggests that heat stress affects the expression of barley Pi-related genes with an impact on plant Pi concentration during the first period of stress. Surprisingly, remarkable changes in the gene expression after 24 and 48 h of heat stress did not result in changed Pi concentrations in the barley plants. The model of gene action during heat stress is presented in Figure 12. Generally, we observed two strategies applied by barley plants to cope with heat stress and Pi-supply treatment. During heat stress, the expression of PHT1 transporters (especially PHT1;1) significantly decreased, with a simultaneous reduction of PHO1 expression, thus blocking Pi efflux from roots to shoots. This stabilizes the Pi concentration in barley roots. During the Pi re-supply treatment, PHT1;1 expression is also reduced (but not PHO1). This reduction is in response to Pi accessibility, but it did not hamper the increase of Pi concentration in the root. One could expect that the increased Pi concentration in roots should be accompanied by the incremental expression of PHO1. Later, after three days of Pi re-supplementation, the expression of the PHO1 gene remains stable.
FIGURE 12

Model of heat stress impact on Pi-related genes expression and their Pi-homeostasis-related activity. The solid and dotted lines represent regulation on the transcriptional and protein levels, respectively. Red dots represent Pi ions.
Further studies on barley Pi-homeostasis maintenance during heat stress are necessary, mainly at the protein and RNA levels. For example, it was recently shown that cis -NATPHO1;2 long non-coding RNA promotes PHO1;2 translation (Secco et al., 2010;
Studies presented in this work shed a new light on the mechanisms of Pi-homeostasis regulation and can help to improve crop plants in their response to unfavorable changes in the environment.
Statements
Author contributions
AP designed, performed, analyzed all experiments, prepared manuscript, tables, and figures, wrote manuscript, MB-P performed Pi concentration analysis and analyzed experiments, AS-B designed, performed heat stress experiment, KK designed, performed heat stress experiment, PS performed Pi concentration analysis, KM analyzed transcriptome data, IJ designed Pi re-supply experiment and assisted in manuscript preparation, AJ assisted in manuscript writing, editing, ZS-K designed heat experiment, wrote manuscript.
Acknowledgments
This work was supported by: Polish National Science Centre (Narodowe Centrum Nauki) [DEC-2013/11/B/NZ9/01761 to AP, PS, KK]; KNOW RNA Research Centre in Poznan [01/KNOW2/2014 to MB-P, AJ, ZS-K].
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Supplementary material
The Supplementary Material for this article can be found online at: http://journal.frontiersin.org/article/10.3389/fpls.2016.00926
Footnotes
1.^http://plants.ensembl.org/Hordeum_vulgare/Info/Index
References
1
Abou-ElwafaS. F.AmeinK. A. (2016). Genetic diversity and potential high temperature tolerance in barley (Hordeum vulgare).World J. Agric. Res.41–8.
2
AndersS.HuberW. (2010). Differential expression analysis for sequence count data.Genome Biol.11:R106. 10.1186/gb-2010-11-10-r106
3
AndersS.PylP. T.HuberW. (2015). HTSeq–A Python framework to work with high-throughput sequencing data.Bioinformatics31166–169. 10.1093/bioinformatics/btu638
4
BakerA.CeasarS. A.PalmerA. J.PatersonJ. B.QiW.MuenchS. P.et al (2015). Replace, reuse, recycle: improving the sustainable use of phosphorus by plants.J. Exp. Bot.663523–3540. 10.1093/jxb/erv210
5
BanerjeeA.RoychoudhuryA. (2015). WRKY proteins: signaling and regulation of expression during abiotic stress responses.ScientificWorldJournal2015:807560. 10.1155/2015/807560
6
BariR.Datt PantB.StittM.ScheibleW. R. (2006). PHO2 microRNA399 and PHR1 define a phosphate-signaling pathway in plants.Plant Physiol.141988–999. 10.1104/pp.106.079707
7
BertoliniE.VerelstW.HornerD. S.GianfranceschiL.PiccoloV.InzeD.et al (2013). Addressing the role of microRNAs in reprogramming leaf growth during drought stress in Brachypodium distachyon.Mol. Plant6423–443. 10.1093/mp/sss160
8
BolognaN. G.MateosJ. L.BressoE. G.PalatnikJ. F. (2009). A loop-to-base processing mechanism underlies the biogenesis of plant microRNAs miR319 and miR159.EMBO J.283646–3656. 10.1038/emboj.2009.292
9
BustosR.CastrilloG.LinharesF.PugaM. I.RubioV.Perez-PerezJ.et al (2010). A central regulatory system largely controls transcriptional activation and repression responses to phosphate starvation in Arabidopsis.PLoS Genet.6:e1001102. 10.1371/journal.pgen.1001102
10
ChristophersenH. M.SmithF. A.SmithS. E. (2009). Arbuscular mycorrhizal colonization reduces arsenate uptake in barley via downregulation of transporters in the direct epidermal phosphate uptake pathway.New Phytol.184962–974. 10.1111/j.1469-8137.2009.03009.x
11
CordellD.WhiteS. (2014). Life’s bottleneck: sustaining the world’s phosphorus for a food secure future.Annu. Rev. Environ. Resour.39161–188. 10.1146/annurev-environ-010213-113300
12
DingJ.LiD.OhlerU.GuanJ.ZhouS. (2012). Genome-wide search for miRNA-target interactions in Arabidopsis thaliana with an integrated approach.BMC Genomics13(Suppl. 3):S3. 10.1186/1471-2164-13-S3-S3
13
Franco-ZorrillaJ. M.ValliA.TodescoM.MateosI.PugaM. I.Rubio-SomozaI.et al (2007). Target mimicry provides a new mechanism for regulation of microRNA activity.Nat. Genet.391033–1037. 10.1038/ng2079
14
GuoB.JinY.WusslerC.BlancaflorE. B.MotesC. M.VersawW. K. (2008). Functional analysis of the Arabidopsis PHT4 family of intracellular phosphate transporters.New Phytol.177889–898. 10.1111/j.1469-8137.2007.02331.x
15
HackenbergM.ShiB.-J.GustafsonP.LangridgeP. (2013). Characterization of phosphorus-regulated miR399 and miR827 and their isomirs in barley under phosphorus-sufficient and phosphorus-deficient conditions.BMC Plant Biol.13:214. 10.1186/1471-2229-13-214
16
HamburgerD.RezzonicoE.MacDonald-Comber PetetotJ.SomervilleC.PoirierY. (2002). Identification and characterization of the Arabidopsis PHO1 gene involved in phosphate loading to the xylem.Plant Cell14889–902. 10.1105/tpc.000745
17
HigoK.UgawaY.IwamotoM.KorenagaT. (1999). Plant cis-acting regulatory DNA elements (PLACE) database: 1999.Nucleic Acids Res.27297–300. 10.1093/nar/27.1.297
18
HuB.ZhuC.LiF.TangJ.WangY.LinA.et al (2011). LEAF TIP NECROSIS1 plays a pivotal role in the regulation of multiple phosphate starvation responses in rice.Plant Physiol.1561101–1115. 10.1104/pp.110.170209
19
HuangC. Y.RoessnerU.EickmeierI.GencY.CallahanD. L.ShirleyN.et al (2008). Metabolite profiling reveals distinct changes in carbon and nitrogen metabolism in phosphate-deficient barley plants (Hordeum vulgare L.).Plant Cell Physiol.49691–703. 10.1093/pcp/pcn044
20
HuangC. Y.ShirleyN.GencY.ShiB.LangridgeP. (2011). Phosphate utilization efficiency correlates with expression of low-affinity phosphate transporters and noncoding RNA, IPS1 in barley.Plant Physiol.1561217–1229. 10.1104/pp.111.178459
21
HuangT. K.HanC. L.LinS. I.ChenY. J.TsaiY. C.ChenY. R.et al (2013). Identification of downstream components of ubiquitin-conjugating enzyme PHOSPHATE2 by quantitative membrane proteomics in Arabidopsis roots.Plant Cell254044–4060. 10.1105/tpc.113.115998
22
JabnouneM.SeccoD.LecampionC.RobagliaC.ShuQ.PoirierY. (2013). A rice cis-natural antisense RNA acts as a translational enhancer for its cognate mRNA and contributes to phosphate homeostasis and plant fitness.Plant Cell254166–4182. 10.1105/tpc.113.116251
23
KantS.PengM.RothsteinS. J. (2011). Genetic regulation by NLA and microRNA827 for maintaining nitrate-dependent phosphate homeostasis in arabidopsis.PLoS Genet.7:e1002021. 10.1371/journal.pgen.1002021
24
KarandashovV.BucherM. (2005). Symbiotic phosphate transport in arbuscular mycorrhizas.Trends Plant Sci.1022–29. 10.1016/j.tplants.2004.12.003
25
KimD.PerteaG.TrapnellC.PimentelH.KelleyR.SalzbergS. L. (2013). TopHat2: accurate alignment of transcriptomes in the presence of insertions, deletions and gene fusions.Genome Biol.14:R36. 10.1186/gb-2013-14-4-r36
26
KruszkaK.PacakA.Swida-BarteczkaA.NucP.AlabaS.WroblewskaZ.et al (2014). Transcriptionally and post-transcriptionally regulated microRNAs in heat stress response in barley.J. Exp. Bot.656123–6135. 10.1093/jxb/eru353
27
KruszkaK.PacakA.Swida-BarteczkaA.StefaniakA. K.KajaE.SierockaI.et al (2013). Developmentally regulated expression and complex processing of barley pri-microRNAs.BMC Genomics14:34. 10.1186/1471-2164-14-34
28
LanzettaP. A.AlvarezL. J.ReinachP. S.CandiaO. A. (1979). An improved assay for nanomole amounts of inorganic phosphate.Anal. Biochem.10095–97. 10.1016/0003-2697(79)90115-5
29
LeeH.YooS. J.LeeJ. H.KimW.YooS. K.FitzgeraldH.et al (2010). Genetic framework for flowering-time regulation by ambient temperature-responsive miRNAs in Arabidopsis.Nucleic Acids Res.383081–3093. 10.1093/nar/gkp1240
30
LiY. F.WangY.TangY.KakaniV. G.MahalingamR. (2013). Transcriptome analysis of heat stress response in switchgrass (Panicum virgatum L.).BMC Plant Biol.13:153. 10.1186/1471-2229-13-153
31
LiuT. Y.HuangT. K.TsengC. Y.LaiY. S.LinS. I.LinW. Y.et al (2012). PHO2-dependent degradation of PHO1 modulates phosphate homeostasis in Arabidopsis.Plant Cell242168–2183. 10.1105/tpc.112.096636
32
LiuT. Y.LinW. Y.HuangT. K.ChiouT. J. (2014). MicroRNA-mediated surveillance of phosphate transporters on the move.Trends Plant Sci.19647–655. 10.1016/j.tplants.2014.06.004
33
MiuraK.RusA.SharkhuuA.YokoiS.KarthikeyanA. S.RaghothamaK. G.et al (2005). The Arabidopsis SUMO E3 ligase SIZ1 controls phosphate deficiency responses.Proc. Natl. Acad. Sci. U.S.A.1027760–7765. 10.1073/pnas.0500778102
34
MüllerR.NilssonL.KrintelC.Hamborg NielsenT. (2004). Gene expression during recovery from phosphate starvation in roots and shoots of Arabidopsis thaliana.Physiol. Plant.122233–243. 10.1111/j.1399-3054.2004.00394.x
35
NilssonL.MullerR.NielsenT. H. (2007). Increased expression of the MYB-related transcription factor, PHR1 leads to enhanced phosphate uptake in Arabidopsis thaliana.Plant Cell Environ.301499–1512. 10.1111/j.1365-3040.2007.01734.x
36
OlsenS. R.ColeC. V.WatanabeF. S.DeanL. A. (1954). Estimation of Available Phosphorus in Soils by Extraction with Sodium Bicarbonate.Washington, DC: USDA, Circular No. 939.
37
PacakA.GeislerK.JørgensenB.Barciszewska-PacakM.NilssonL.NielsenT. H.et al (2010). Investigations of barley stripe mosaic virus as a gene silencing vector in barley roots and in Brachypodium distachyon and oat.Plant Methods6:26. 10.1186/1746-4811-6-26
38
PallG. S.HamiltonA. J. (2008). Improved northern blot method for enhanced detection of small RNA.Nat. Protoc.31077–1084. 10.1038/nprot.2008.67
39
ParkB. S.SeoJ. S.ChuaN. H. (2014). NITROGEN LIMITATION ADAPTATION recruits PHOSPHATE2 to target the phosphate transporter PT2 for degradation during the regulation of Arabidopsis phosphate homeostasis.Plant Cell26454–464. 10.1105/tpc.113.120311
40
PinheiroJ.BatesD.DebRoyS.SarkarD.R Core Team (2014). nlme: Linear and Nonlinear Mixed Effects Models. R Package Version 3.1–117.Available at: http://cran.r-project.org/web/packages/nlme/index.html
41
PoirierY.BucherM. (2002). Phosphate transport and homeostasis in Arabidopsis.Arabidopsis Book1:e0024. 10.1199/tab.0024
42
PreussC. P.HuangC. Y.GillihamM.TyermanS. D. (2010). Channel-like characteristics of the low-affinity barley phosphate transporter PHT1;6 when expressed in Xenopus oocytes.Plant Physiol.1521431–1441. 10.1104/pp.109.152009
43
QinD.WuH.PengH.YaoY.NiZ.LiZ.et al (2008). Heat stress-responsive transcriptome analysis in heat susceptible and tolerant wheat (Triticum aestivum L.) by using Wheat Genome Array.BMC Genomics9:432. 10.1186/1471-2164-9-432
44
RamakersC.RuijterJ. M.DeprezR. H.MoormanA. F. (2003). Assumption-free analysis of quantitative real-time polymerase chain reaction (PCR) data.Neurosci. Lett.33962–66. 10.1016/S0304-3940(02)01423-4
45
SchunmannP. H.RichardsonA. E.SmithF. W.DelhaizeE. (2004a). Characterization of promoter expression patterns derived from the Pht1 phosphate transporter genes of barley (Hordeum vulgare L.).J. Exp. Bot.55855–865. 10.1093/jxb/erh103
46
SchunmannP. H.RichardsonA. E.VickersC. E.DelhaizeE. (2004b). Promoter analysis of the barley Pht1;1 phosphate transporter gene identifies regions controlling root expression and responsiveness to phosphate deprivation.Plant Physiol.1364205–4214. 10.1104/pp.104.045823
47
SeccoD.BaumannA.PoirierY. (2010). Characterization of the rice PHO1 gene family reveals a key role for OsPHO1;2 in phosphate homeostasis and the evolution of a distinct clade in dicotyledons.Plant Physiol.1521693–1704. 10.1104/pp.109.149872
48
ShinH.ShinH. S.DewbreG. R.HarrisonM. J. (2004). Phosphate transport in Arabidopsis: Pht1;1 and Pht1;4 play a major role in phosphate acquisition from both low- and high-phosphate environments.Plant J.39629–642. 10.1111/j.1365-313X.2004.02161.x
49
SmalleJ.VierstraR. D. (2004). The ubiquitin 26S proteasome proteolytic pathway.Annu. Rev. Plant Biol.55555–590. 10.1146/annurev.arplant.55.031903.141801
50
SobkowiakL.BielewiczD.MaleckaE. M.JakobsenI.AlbrechtsenM.Szweykowska-KulinskaZ.et al (2012). The role of the P1BS element containing promoter-driven genes in Pi transport and homeostasis in plants.Front. Plant Sci.3:58. 10.3389/fpls.2012.00058
51
StefanovicA.ArpatA. B.BlignyR.GoutE.VidoudezC.BensimonM.et al (2011). Over-expression of PHO1 in Arabidopsis leaves reveals its role in mediating phosphate efflux.Plant J.66689–699. 10.1111/j.1365-313X.2011.04532.x
52
SzarzynskaB.SobkowiakL.PantB. D.BalazadehS.ScheibleW. R.Mueller-RoeberB.et al (2009). Gene structures and processing of Arabidopsis thaliana HYL1-dependent pri-miRNAs.Nucleic Acids Res.373083–3093. 10.1093/nar/gkp189
53
TEAMR. C. (2010). R: A Language and Environment for Statistical Computing.Vienna: R Foundation for Statistical Computing.
54
ToliaN. H.Joshua-TorL. (2006). Strategies for protein coexpression in Escherichia coli.Nat. Methods355–64. 10.1038/nmeth0106-55
55
WangC.HuangW.YingY.LiS.SeccoD.TyermanS.et al (2012). Functional characterization of the rice SPX-MFS family reveals a key role of OsSPX-MFS1 in controlling phosphate homeostasis in leaves.New Phytol.196139–148. 10.1111/j.1469-8137.2012.04227.x
56
WangH.SunR.CaoY.PeiW.SunY.ZhouH.et al (2015). OsSIZ1 a SUMO E3 ligase gene, is involved in the regulation of the responses to phosphate and nitrogen in rice.Plant Cell Physiol.562381–2395. 10.1093/pcp/pcv162
57
WangZ.RuanW.ShiJ.ZhangL.XiangD.YangC.et al (2014). Rice SPX1 and SPX2 inhibit phosphate starvation responses through interacting with PHR2 in a phosphate-dependent manner.Proc. Natl. Acad. Sci. U.S.A.11114953–14958. 10.1073/pnas.1404680111
58
WegeS.KhanG. A.JungJ. Y.VogiatzakiE.PradervandS.AllerI.et al (2016). The EXS domain of PHO1 participates in the response of shoots to phosphate deficiency via a root-to-shoot signal.Plant Physiol.170385–400. 10.1104/pp.15.00975
59
ZhangX.LiJ.LiuA.ZouJ.ZhouX.XiangJ.et al (2012). Expression profile in rice panicle: insights into heat response mechanism at reproductive stage.PLoS ONE7:e49652. 10.1371/journal.pone.0049652
60
ZinnK. E.Tunc-OzdemirM.HarperJ. F. (2010). Temperature stress and plant sexual reproduction: uncovering the weakest links.J. Exp. Bot.611959–1968. 10.1093/jxb/erq053
Summary
Keywords
barley, Pi transporters, PHO2, phosphate, high temperature, abiotic stress
Citation
Pacak A, Barciszewska-Pacak M, Swida-Barteczka A, Kruszka K, Sega P, Milanowska K, Jakobsen I, Jarmolowski A and Szweykowska-Kulinska Z (2016) Heat Stress Affects Pi-related Genes Expression and Inorganic Phosphate Deposition/Accumulation in Barley. Front. Plant Sci. 7:926. doi: 10.3389/fpls.2016.00926
Received
09 March 2016
Accepted
10 June 2016
Published
24 June 2016
Volume
7 - 2016
Edited by
Soumitra Paul, University of Calcutta, India
Reviewed by
James Stangoulis, Flinders University, Australia; Jitender Giri, National Institute of Plant Genome Research, India
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Copyright
© 2016 Pacak, Barciszewska-Pacak, Swida-Barteczka, Kruszka, Sega, Milanowska, Jakobsen, Jarmolowski and Szweykowska-Kulinska.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Andrzej Pacak, apacak@amu.edu.pl
This article was submitted to Plant Nutrition, a section of the journal Frontiers in Plant Science
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