Literature DB >> 28338870

StMYB44 negatively regulates phosphate transport by suppressing expression of PHOSPHATE1 in potato.

Xiangjun Zhou1, Manrong Zha1, Jing Huang1, Li Li2, Muhammad Imran1,3, Cankui Zhang1.   

Abstract

Phosphorus is an important macronutrient for plant growth, but often deficient in soil. To understand the molecular basis of the complex responses of potato (Solanum tuberosum L.) to phosphate (Pi) deficiency stress, the RNA-Seq approach was taken to identify genes responding to Pi starvation in potato roots. A total of 359 differentially expressed genes were identified, among which the Solanum tuberosum transcription factor gene MYB44 (StMYB44) was found to be down-regulated by Pi starvation. StMYB44 was ubiquitously expressed in potato tissues and organs, and StMYB44 protein was exclusively localized in the nucleus. Overexpression of StMYB44 in potato resulted in lower accumulation of Pi in shoots. Transcriptomic analysis indicated that the abundance of S. tuberosum PHOSPHATE1 (StPHO1), a Pi transport-related gene, was reduced in StMYB44 overexpression lines. In contrast, knock-out of StMYB44 by a CRISPR/Cas9 system failed to increase transcription of StPHO1. Moreover, StMYB44 was found to interact in the nucleus with AtWRKY6, a known Arabidopsis transcription factor directly regulating PHO1 expression, and StWRKY6, indicating that StMYB44 could be a member of the regulatory complex controlling transcription of StPHO1. Taken together, our study demonstrates that StMYB44 negatively regulates Pi transport in potato by suppressing StPHO1 expression.
© The Author 2017. Published by Oxford University Press on behalf of the Society for Experimental Biology.

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Keywords:  Gene expression; PHOSPHATE1; RNA-Seq; StMYB44; phosphate deficiency; potato; protein–protein interaction

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Year:  2017        PMID: 28338870      PMCID: PMC5441854          DOI: 10.1093/jxb/erx026

Source DB:  PubMed          Journal:  J Exp Bot        ISSN: 0022-0957            Impact factor:   6.992


Introduction

Inorganic phosphates (Pi) are taken up by plants to meet the phosphorus (P) requirements for a variety of structural and physiological functions. Inadequate supply of P in soil negatively affects plant development and growth (Raghothama, 1999). Reshaping root architecture and development is one of the mechanisms to increase Pi uptake, mobilization, and utilization upon Pi deficiency (Devaiah ). Changing expression of Pi-responsive genes, and altering metabolic and developmental processes are molecular adaptations in this regard (Wu ; Thibaud ; Secco ; Puga ). Systematic transcriptional regulation of Pi-responsive genes is believed to be the major regulatory step in maintaining Pi homeostasis (Hammond ). A number of transcription factors mediating plant responses to Pi starvation have been identified in Arabidopsis and rice, including MYB transcription factors, PHR1/OsPHR2, PSR1, AtMYB2, MYB62, and OsMYB2P-1 (Wykoff ; Rubio ; Zhou ; Devaiah ; Dai ; Baek ), WRKY transcription factors AtWRKY6, AtWRKY42, AtWRKY45, and AtWRKY75 (Devaiah ; Chen ; H. Wang ; Su ), basic helix–loop–helix transcription factors OsPTF1 and bHLH32 (Yi ; Chen , zinc-finger transcription factor ZAT6 (Devaiah ), and APETALA2/ETHYLENE RESPONSE FACTOR, AtREF070 (Ramaiah ). Each transcription factor specifically activates or suppresses a single or multiple Pi-related genes in response to Pi starvation (Chen ; H. Wang ; Su ). Nuclear proteins SPX1 and SPX2 carry an SPX domain, which exists in Pi sensors and other Pi starvation signaling proteins in yeast and plants. These proteins are found to inhibit the activity of PHR1 and OsPHR2 transcription factors by protein–protein interactions in response to Pi availability in Arabidopsis and rice (Puga ; Z. Wang ). It demonstrates the vital role of transcription factors in Pi signaling pathways by linking Pi perception and gene expression. Hence, identification of additional transcription factors will further broaden our understanding about the signaling process in plant responses to Pi deficiency. Among various MYB families, R2R3-type transcription factors are the largest MYB family in plants (Stracke ). Based on amino acid sequence similarities, 126 Arabidopsis R2R3-type MYB transcription factors are categorized into 22 subgroups, and the last subgroup of MYB transcription factors mainly mediates hormone signaling and abiotic stress responses (Jung ). One of its members, AtMYB77, mediates auxin signaling by interacting with auxin response factors and regulating expression of auxin-inducible genes to control lateral root growth and development (Shin ). Another member of this subgroup, AtMYB44, positively regulates drought tolerance by enhancing stomatal closure (Jung ). In addition, AtMYB44 has also been shown to induce expression of ETHYLENE INSENSITIVE2 (EIN2), a central component in the ethylene signaling pathway (Liu ). Interaction of MYBR1/AtMYB44 with ABA receptor PYR1-LIKE8 (PYL8) mediates leaf senescence and responds to stress and wounding (Jaradat ), implying that members of this subgroup are involved in diverse physiological processes in plants. Potato (Solanum tuberosum L.), the fourth largest food crop in the world, faces an array of abiotic stresses including drought, cold, and mineral deficiency (Leone ). Unlike Arabidopsis and rice, little is known about the mechanisms to maintain mineral homeostasis in potato since relatively few genes involved in regulation of mineral uptake and distribution have been identified in this species. The present study was designed to carry out RNA-Seq-based identification of genes, particularly those encoding transcription factors, whose expression is affected in potato roots by Pi starvation. The current study is to explore how StMYB44 (previously named tuber-specific and sucrose-inducible element-binding factor), one of the transcription factors identified, is involved in regulation of Pi uptake and distribution in potato plant.

Materials and methods

Plant materials and growth conditions

Tetraploid potato (Solanum tuberosum L.), Désirée, plants were grown in a greenhouse under a 14 h light/10 h dark regime at 25 °C. Arabidopsis thaliana (ecotype Columbia) were grown in a growth chamber under a 14 h light/10 h dark cycle at 23 °C. Hoagland solution was used in hydroponic growth of potato plants, and was changed every other day. The Pi starvation was initiated by withdrawing Pi from the Hoagland solution when the potato plants were 1 month old. Roots were collected 5 d after the treatment and stored at –80 °C before RNA extraction.

Plasmid construction, and transformation of Arabidopsis and potato

The coding region of StMYB44 without the stop codon was amplified by PCR and cloned into the pAVA393 vector (von Arnim ) to make the StMYB44:GFP fusion gene, which was then subcloned behind a double Cauliflower mosaic virus (CaMV) 35S promoter in the binary vector pCAMBIA1300S (Zhou ). The complete vector was verified by sequencing and transformed into Agrobacterium tumefaciens GV3101 by electroporation. Arabidopsis transformation was performed by the floral-dip method (Clough and Bent, 1998). For the CRISPR/Cas9 (clustered regularly interspaced short palindromic repeat/Cas9) vector, the sequence GAAGATGATACTATCATCAGG of the StMYB44 gene was used as the target sequence. Two primers were synthesized and annealed to form the dsDNA and cloned between two BsaI sites of the pKSE401 vector by Golden Gate cloning (Xing ). The complete vector was verified by sequencing. The 1.5 kb StMYB44 promoter upstream of the translation start codon was inserted between HindIII and BamHI sites of pBI101.2, and then transformed into A. tumefaciens GV3101. The complete vectors were introduced into potato by Agrobacterium-mediated transformation as previously described (Chronis ).

Protein structure analysis and phylogenetic tree analysis

Predicted StMYB44 and homologs from Arabidopsis, tomato, tobacco, and cotton were aligned by using Clustal Omega (http://www.ebi.ac.uk/Tools/msa/clustalo/). The phylogenetic tree was built with the Molecular Evolutionary Genetics Analysis (MEGA) software. Bootstrap analysis of the phylogenetic tree was performed using 100 replicates.

RNA extraction, library construction, RNA-Seq, and quantitative RT-PCR

Total RNA was extracted from roots of potato plants by using an E.Z.N.A.® Total RNA Kit I (Omega Bio-tek, Norcross, GA, USA). A 5 μg aliquot of total RNA was used for library preparation as previously described (Zhong ). Sequencing was conducted on an Illumina HiSeq2500 at the Genomics Resources Core Facility of Weill Cornell Medical College. Total RNA samples were treated with RQ1 DNase (Promega, Madison, WI, USA) for 30 min to remove genomic DNA, and then converted into cDNA using iScript™ Reverse Transcription Supermix (Bio-Rad, Hercules, CA, USA). Quantitative real-time PCR (qRT-PCR) was conducted in a CFX Connect Real-Time System with iTaq Universal SYBR Green Supermix (Bio-Rad). The thermal cycle involves 95 °C for 3 min, and 40 cycles of 95 °C 15 s and 60 °C for 60 s, followed by melt curve analysis to verify the specificity of amplification. The ΔΔCt method was used to calculate RT-PCR results with the potato Actin gene as an internal control.

RNA-Seq data processing and analysis

Libraries were sequenced on a HiSeq2500 (Illumina) using 101 base, single-end sequencing, and the quality of RNA-Seq data was determined by using FASTQC (v 0.10.1) (http://www.bioinformatics.babraham.ac.uk/projects/fastqc/). Reads were mapped to the reference S. tuberosum Group Phureja DM1-3 genome assembly PGSC v4.03 pseudomolecules (http://solanaceae.plantbiology.msu.edu/pgsc_download.shtml) using TopHat2 (Kim ), allowing up to two mismatches. Differentially expressed genes were identified using cuffdiff following normalization of transcript count information to RPKM (reads per kilobase of exon model per million mapped reads) (Mortazavi ). Genes with a P-value <0.05 were considered to be differentially expressed.

GUS staining

β-Glucuronidase (GUS) activity was assayed as previously described (Jefferson ) in transgenic potato seedlings, leaves, flowers, and tubers expressing the Pro:GUS chimeric gene using two independent transgenic lines for analysis. To compare expression of the StMYB44 promoter upon Pi starvation, transgenic seedlings were transferred onto fresh medium with Pi (Hoagland solution) or medium without Pi (Hoagland solution without Pi) and grown for 5 d. GUS activity in the seedlings was examined as above.

Subcellular localization of StMYB44

Agrobacterium cells containing 35S:StMYB44-GFP and 35S:GFP plasmids, respectively, were infiltrated into 4-week-old Nicotiana benthamiana leaves. Three days after infiltration, the leaves were detached and green fluorescent protein (GFP) signals were examined under a Leica TCS-SP5 confocal microscope (Leica Microsystems Exton, PA, USA) with excitation wavelength at 488 nm and emission wavelength at 500–520 nm. Six-day-old transgenic Arabidopsis seedlings expressing the 35S:StMYB44-GFP and 35S:GFP transgenes were used to study subcellular localization. Nuclei of root cells were stained with DAPI solution at 10 μg ml–1 (w/v) for 10 min, and then washed three times with water. Transgenic Arabidopsis seedlings expressing 35S:GFP were used as the control. GFP and DAPI signals were examined using a Leica TCS-SP5 confocal microscope with excitation wavelengths 488 nm for GFP and 405 nm for DAPI (Zhou ).

Pi content determination

Pi content was determined as previously described (Jain ) by grinding 6–20 mg of fresh shoot or root samples to a fine power in liquid nitrogen. The ground samples were suspended in 500 µl of 1% glacial acetic acid and immediately frozen in liquid nitrogen again and thawed. After centrifugation at 13 000 rpm for 1 min, 50 µl of supernatant were used in a phosphomolybdate colorimetric assay (Ames, 1966). To make Pi contents comparable, seedlings of wild-type and individual transgenic potato lines were grown in the same Magenta box containing 4.3 g l–1 Murashige and Skoog (MS) salt, 0.17 g l–1 NaH2PO4·H2O, 0.1 g l–1 inositol, 0.4 mg l–1 thiamine HCl, 30 g l–1 sucrose, and 1.8 g l–1 gelrite. Two weeks after subculture, shoot and root samples were collected for Pi content determination.

Protein–protein interaction by BiFC

The coding sequences of StMYB44, AtWRKY6(At1g62300), and StWRKY6 (NM_001318697, initially named StWRKY31, but it is more similar to AtWRKY6), a homolog of WKRY6 from potato, without stop codons were amplified by PCR and cloned into the KpnI and XmaI sites of the bimolecular fluorescence complementation (BiFC) vectors pSPYCE and pSPYNE, respectively (Waadt ). After confirmation by sequencing, the vectors were transferred into A. tumefaciens GV3101 and agroinfiltrated into 4-week-old N. benthamiana leaves. Three days after infiltration, the leaf discs were detached and examined by confocal microscopy for the yellow fluorescent protein (YFP) signal with excitation wavelength at 488 nm and emission filter at 520 nm.

Results

Identification of Pi starvation-responsive genes in potato roots by RNA-Seq

To investigate the regulatory mechanism of potato in response to Pi deficiency, differentially expressed genes in roots under Pi-sufficient (Hoagland solution with 0.5 mM KH2PO4) and Pi-deficient (Hoagland solution without Pi) conditions were examined by RNA-Seq. A previous study on rice subjected to Pi starvation elucidated a 2- to 3-fold change in Pi content in shoots and roots, but substantial numbers of differentially expressed genes were not observed until 3–7 d (Secco ). Therefore, to obtain a relatively comprehensive list of genes involved in the responses triggered by Pi deficiency, plant materials examined in this study were collected 5 d after Pi withdrawal. A total of 31.5 million reads were sequenced from six libraries generated from three biological repeats of Pi-deficient and sufficient samples. Statistical analysis indicated the differential expression of 359 genes upon Pi limitation, of which 221 genes were expressed at a minimum 1.6-fold higher level (see Supplementary Table S1 at JXB online). The rest of the genes were found to be reduced >1.6-fold upon Pi starvation as compared with control (Supplementary Table S2). Functional categorization of these genes revealed their involvement in diverse biological processes including cellular response to phosphate starvation and phosphate ion homeostasis (Fig. 1A). Further analysis indicated that several genes, including those encoding Inorganic Phosphate Transporter, four purple acid phosphatases, and three SPX domain-containing proteins were strongly up-regulated after Pi starvation treatment. In contrast, PHOSPHATE2 (PHO2), a gene encoding a ubiquitin-conjugating E2 enzyme mediating the degradation of Phosphate Transporter 1 (PHT1) and PHOSPHATE1 (PHO1), was observed to be dramatically suppressed in potato roots (Supplementary Table S2). These results indicated that a 5 d Pi starvation treatment had successfully triggered comprehensive molecular responses in potato.
Fig. 1.

Identification of phosphate starvation-responsive genes in potato roots using RNA-Seq. (A) Functional categories of genes differentially expressed between Pi-sufficient and Pi-deficient potato roots. (B) Verification of gene expression by qRT-PCR. qRT-PCR was carried out with two biological repeats and three technical trials.

Identification of phosphate starvation-responsive genes in potato roots using RNA-Seq. (A) Functional categories of genes differentially expressed between Pi-sufficient and Pi-deficient potato roots. (B) Verification of gene expression by qRT-PCR. qRT-PCR was carried out with two biological repeats and three technical trials. The replacement of phospholipids in membranes with glycolipids and sulfolipids is one of the typical responses of plants to Pi starvation (Härtel ). In this study, five genes, namely those encoding two glycosyltransferases, 1,2-diacylglycerol 3-beta-galactosyltransferase, digalactosyldiacylglycerol synthase 2 (DGD2), and riboflavin kinase/FMN adenylyltransferase, involved in the glycolipid biosynthetic process were identified. The Sulfate Transporter 3.4-encoding gene was observed to have greater abundance (17.5-fold increase) upon Pi starvation (Supplementary Table S1), suggesting an increase in S uptake or transport to meet the demand for the elevated biosynthesis of sulfolipids (Misson ). Previous studies have indicated that starch accumulates in response to Pi deprivation (Calderon-Vazquez ; Hammond and White, 2008). The abundances of transcripts of starch synthase VI and two phosphofructokinase genes, involved in starch synthesis, were observed to be ~3-fold higher in Pi-depleted potato roots (Supplementary Table S1). The increased expression of these genes was also reported in Pi-deficient potato leaves (Hammond ). The expression of several members of gene families involved in secondary metabolism and stress responses was altered by Pi starvation, including those encoding cytochrome P450s (eight genes), peroxidases (10 genes), and nodulins (five genes) (Supplementary Tables S1, S2), consistent with previous observations in maize, Arabidopsis, and rice (Misson ; Calderon-Vazquez ; Secco ).

Verification of gene expression by quantitative RT-PCR

qRT-PCR was used to verify the expression of several genes potentially involved in Pi uptake and signaling, including those encoding IDS4 SPX Domain-containing Protein 2-Like, Xenotropic and Polytropic Murine Leukemia Virus Receptor IDS-4, Inorganic Phosphate Transporter, Purple Acid Phosphatase 1, and two purple acid phosphatases. Altered expression of these selected genes was consistent with that from the RNA-Seq approach although the scale of the fold changes differed between two approaches (Fig. 1B). Among the Pi starvation-responsive genes, a number of targets, including seven up-regulated and nine down-regulated transcription factors, with potential signaling functions in response to Pi starvation were identified (Supplementary Table S3). StMYB44 (PGSC0003DMG400003316), a potato homolog to AtMYB44 and a member of the important MYB family subgroup 22, was down-regulated in roots by Pi starvation, as shown by both RNA-Seq and qRT-PCR (Fig. 1B). This gene was selected for a more comprehensive analysis of its involvement in regulation of Pi starvation responses.

Isolation and structure analysis of potato StMYB44

The ORF of StMYB44 was isolated from potato cultivar Désirée by PCR. Sequencing analysis showed that the 963 bp long ORF encoded a protein of 320 amino acid residues with a predicted molecular mass of 35.02 kDa and an isoelectric point of 9.24 by using Compute pI/Mw software online (http://web.expasy.org/compute_pi/). The deduced protein shared 49% sequence identity with MYB44 in Arabidopsis. AtMYB44 belongs to R2R3-MYB subgroup 22 carrying R2 and R3 MYB repeat domains (Fig. 2A; Supplementary Fig. S1). Most members of this group in Arabidopsis contained the conserved motifs 22.1 (TGLYMSPxSP) and 22.3 (GxFMxVVQEMIxxEVRSYM) (Stracke ). Further analysis indicated that another conserved motif, 22.2, (D/EPP/MTxLSLP) is present between motifs 22.1 and 22.3 among the members of this group in Arabidopsis. StMYB44 carried the 22.2 and 22.3 motifs but lacked the 22.1 motif (Fig. 2A, B), indicating that it could have different physiological roles from its homologs in Arabidopsis. In addition, phylogenetic analysis showed that StMYB44 and its orthologs from tomato and tobacco form one clade with high bootstrap numbers (Fig. 2C), indicating that the divergence of StMYB44 occurred after the split of Solanaceae and Brassicaceae.
Fig. 2.

Isolation and analysis of StMYB44. (A) Schematic structures of StMYB44 and AtMYB44. (B) Conserved domains in MYB44 proteins. Alignment was conducted using Clustal Omega (http://www.ebi.ac.uk/Tools/msa/clustalo/). (C) Phylogenetic tree analysis of StMYB44 and homologs from other plant species. The GenBank accession numbers for the amino acid sequences are XP_006367421 for Solanum tuberosum MYB44, XP_004238123 for Solanum lycopersicum MYB44, NP_001311792 for Nicotiana tabacum MYB44, AT5G67300 for Arabidopsis thaliana MYB44, AT4G37260 for Arabidopsis thaliana MYB73, AT3G50060 for Arabidopsis thaliana MYB77, AT2G23290 for Arabidopsis thaliana MYB70, XP_002285015 for Vitis vinifera MYB44, XP_012851720 for Erythranth eguttata MYB44, NP_001275798 for Citrus sinensis MYB44, XP_003611666 for Medicago truncatula MYB44, XP_012451049 for Gossypium raimondii MYB44, NP_001238087 for Glycine max MYB44 (previously named MYB50), and NP_001315374 for Cucumis melo MYB44.

Isolation and analysis of StMYB44. (A) Schematic structures of StMYB44 and AtMYB44. (B) Conserved domains in MYB44 proteins. Alignment was conducted using Clustal Omega (http://www.ebi.ac.uk/Tools/msa/clustalo/). (C) Phylogenetic tree analysis of StMYB44 and homologs from other plant species. The GenBank accession numbers for the amino acid sequences are XP_006367421 for Solanum tuberosum MYB44, XP_004238123 for Solanum lycopersicum MYB44, NP_001311792 for Nicotiana tabacum MYB44, AT5G67300 for Arabidopsis thaliana MYB44, AT4G37260 for Arabidopsis thaliana MYB73, AT3G50060 for Arabidopsis thaliana MYB77, AT2G23290 for Arabidopsis thaliana MYB70, XP_002285015 for Vitis vinifera MYB44, XP_012851720 for Erythranth eguttata MYB44, NP_001275798 for Citrus sinensis MYB44, XP_003611666 for Medicago truncatula MYB44, XP_012451049 for Gossypium raimondii MYB44, NP_001238087 for Glycine max MYB44 (previously named MYB50), and NP_001315374 for Cucumis melo MYB44.

Expression and subcellular localization of StMYB44

To examine the tissue-specific expression patterns of StMYB44, a 1.5 kb fragment upstream of the start codon was fused to the GUS reporter gene, and transformed into potato. GUS assay showed StMYB44 expression in almost all potato tissues, including young seedlings, roots, mature leaves, flowers, and tubers, although the expression in young leaves, root tips, stigma, and anthers was stronger than that in other tissues (Fig. 3A–G). Examination of GUS activity in Pro:GUS seedlings grown in either Pi-sufficient or deficient conditions showed reduced staining in roots responding to Pi deficiency, further confirming the results of RNA-Seq and qRT-PCR (Fig. 3H).
Fig. 3.

Tissue-specific expression pattern of StMYB44 in Désirée. GUS staining of transgenic potato carrying the Pro:GUS transgene. Tissues or organs at different stages included 2-week-old seedling (A), root tip from young seedling (B), mature leaf (C), flower (D), pistil (E), tuber stained for 3 h (F), and tuber stained for 6 h (G). (H) GUS activity in Pro:GUS transgenic seedlings grown under Pi-sufficient and Pi deficient conditions.

Tissue-specific expression pattern of StMYB44 in Désirée. GUS staining of transgenic potato carrying the Pro:GUS transgene. Tissues or organs at different stages included 2-week-old seedling (A), root tip from young seedling (B), mature leaf (C), flower (D), pistil (E), tuber stained for 3 h (F), and tuber stained for 6 h (G). (H) GUS activity in Pro:GUS transgenic seedlings grown under Pi-sufficient and Pi deficient conditions. To determine the subcellular localization of StMYB44, a StMYB44:GFP fusion protein was expressed in tobacco leaves by agroinfiltration. Confocal microscopic analysis showed the exclusive accumulation of StMYB44:GFP in the nucleus, whereas only GFP protein driven by the same CaMV 35S promoter was found in the cytosol and nucleus (Fig. 4A).
Fig. 4.

Subcellular localization of StMYB44. (A) Subcellular localization of StMYB44 in tobacco leaves. Agrobacterium carrying the 35S:StMYB44:GFP and 35S:GFP genes was infiltrated into N. benthamiana leaves. Images were taken 2 d after agroinfiltration by confocal microscopy. Scale bars=20 µm. (B) Subcellular localization of StMYB44 in Arabidopsis roots. Roots from 6-day-old transgenic Arabidopsis expressing 35S:StMYB44:GFP and 35S:GFP were stained with DAPI for 10 min. GFP and DAPI fluorescence signals were observed by confocal microscopy. Scale bars=10 µm.

Subcellular localization of StMYB44. (A) Subcellular localization of StMYB44 in tobacco leaves. Agrobacterium carrying the 35S:StMYB44:GFP and 35S:GFP genes was infiltrated into N. benthamiana leaves. Images were taken 2 d after agroinfiltration by confocal microscopy. Scale bars=20 µm. (B) Subcellular localization of StMYB44 in Arabidopsis roots. Roots from 6-day-old transgenic Arabidopsis expressing 35S:StMYB44:GFP and 35S:GFP were stained with DAPI for 10 min. GFP and DAPI fluorescence signals were observed by confocal microscopy. Scale bars=10 µm. In addition, roots of 6-day-old seedlings of two stable transgenic Arabidopsis lines expressing 35S:StMYB44:GFP were stained with DAPI, a reagent specifically staining the nucleus. The overlap of the GFP and DAPI signals verified the nuclear localization of the StMYB44 protein, consistent with its function and the transient localization studied in tobacco leaf. As a control, GFP was detected in both the cytosol and nucleus (Fig. 4B).

Overexpression of StMYB44 results in low Pi accumulation in potato shoots

In order to reveal the physiological function of StMYB44, four transgenic potato lines with the highest expression level among 35 independent transgenic lines overexpressing StMYB44:GFP driven by a double 35S promoter were analyzed further (Fig. 5A). Under regular growth conditions in a greenhouse, the StMYB44 overexpression lines were dwarf with small and curly leaves, and produced smaller and fewer tubers, indicating that elevated expression of StMYB44 affected potato development and tuber yield (Fig. 5B–D).
Fig. 5.

Overexpression of StMYB44 in Désirée. (A) Expression of StMYB44 in the independent transgenic potato plants by qRT-PCR analysis. Actin (XM_006350963) was used as an internal control to normalize the expression of the transgene. (B) Images of transgenic potato grown in soil. Leaves (C) and tubers (D) of transgenic and wild-type (WT) potato.

Overexpression of StMYB44 in Désirée. (A) Expression of StMYB44 in the independent transgenic potato plants by qRT-PCR analysis. Actin (XM_006350963) was used as an internal control to normalize the expression of the transgene. (B) Images of transgenic potato grown in soil. Leaves (C) and tubers (D) of transgenic and wild-type (WT) potato. Pi levels were measured in 14-day-old wild-type and transgenic potato seedlings grown on Pi-sufficient medium (MS medium containing 1.25 mM Pi KH2PO4). The shoot Pi contents of transgenic plants ranged from 6.25 nmol mg–1 FW to 8.54 nmol mg–1 FW and that of the wild type was 11.02 nmol mg–1 FW (Fig. 6A), while no significant difference was detected between the roots of wild-type and transgenic potato plants (Fig. 6B), indicating the negative effect of StMYB44:GFP overexpression on translocation of Pi from roots to shoots.
Fig. 6.

StMYB44 overexpression leads to reduced Pi levels in shoots and down-regulation of StPHO1 in roots. (A) Pi levels in transgenic potato shoots. (B) Pi content in transgenic roots. (C) Tissue-specific expression of StPHO1. (D) Expression of StPHO1 in transgenic potato roots. Shoots and roots of wild-type (WT) and individual transgenic potato seedlings were collected for Pi content determination and gene expression analysis. The data represent means from three biological replicates. Error bars=SD. Student’s t-test was used to examine statistical significance. * indicates P<0.05.

StMYB44 overexpression leads to reduced Pi levels in shoots and down-regulation of StPHO1 in roots. (A) Pi levels in transgenic potato shoots. (B) Pi content in transgenic roots. (C) Tissue-specific expression of StPHO1. (D) Expression of StPHO1 in transgenic potato roots. Shoots and roots of wild-type (WT) and individual transgenic potato seedlings were collected for Pi content determination and gene expression analysis. The data represent means from three biological replicates. Error bars=SD. Student’s t-test was used to examine statistical significance. * indicates P<0.05. In order to dissect the downstream genes controlled by StMYB44, we compared global gene expression profiles between two independent transgenic lines (OE22 and OE30) and wild-type seedlings by RNA-Seq analysis. A total of 80.2 million reads were obtained from nine libraries generated from three biological repeats of wild-type and two transgenic lines. Of the 174 differentially expressed genes, 52 and 122 were discovered to be up-regulated and down-regulated, respectively, over 4-fold (Tables 1, 2). The RNA-Seq analysis showed that the averaged expression of StMYB44 in the two chosen transgenic lines was increased by 44.3-fold, which is consistent with the qRT-PCR analysis of StMYB44-overexpressing lines, demonstrating the authenticity of RNA-Seq in identification of the differentially expressed genes in this study. Among the up-regulated genes in the StMYB44-overexpressing lines, Purple Acid Phosphatase 3 (PAP3; PGSC0003DMG403007838), a gene involved in the release of the phosphate from phosphate ester under phosphate starvation conditions (Bozzo ; Y. Zhang ), was identified. At this point, it remained unclear whether the enhanced expression of PAP3 was caused directly by the overexpression of StMYB44 or a feedback response due to reduced Pi accumulation in shoots. More interestingly, the transcript abundance of potato PHOSPHATE1 (StPHO1; PGSC0003DMG400017163) was observed to be reduced in the transgenic potato. In Arabidopsis, PHO1 is responsible for loading Pi into the xylem in roots and its translocation from root to shoot; accordingly, mutation of this gene results in reduced Pi accumulation in shoot tissues (Poirier ; Hamburger ).
Table 1.

Up-regulated genes in StMYB44-overexpressing lines

Gene_idGeneFold change OE22/WT P-valueFold change OE30/WT P-valueAverage fold change
PGSC0003DMG400005840Calcineurin Binf0.00005inf0.00005inf
PGSC0003DMG400031059Conserved gene of unknown functioninf0.00005inf0.00145inf
PGSC0003DMG400025420Transposaseinf0.00005inf0.00005inf
PGSC0003DMG400003316Tuber-specific and sucrose- responsive element-binding factor (TSF transgene)30.360.0000564.740.0000544.34
PGSC0003DMG400019773Sesquiterpene synthase 235.140.000118.370.0000525.40
PGSC0003DMG400013696Cytochrome P45022.840.0000527.680.0000525.14
PGSC0003DMG400016180Flowering locus T15.350.0026516.330.000215.83
PGSC0003DMG400010050Proline oxidase/dehydrogenase 18.210.0000530.420.0000515.80
PGSC0003DMG400003954Conserved gene of unknown function15.540.0026515.960.0028515.75
PGSC0003DMG400025628Pyridoxal-dependent decarboxylase, C-terminal sheet domain-containing protein11.640.0000518.770.0000514.78
PGSC0003DMG400007796DNA-directed RNA polymerase II largest subunit12.220.0000517.120.0000514.46
PGSC0003DMG400000957ATP-binding protein15.040.0000513.700.0000514.35
PGSC0003DMG400014086Gene of unknown function22.400.00018.840.000914.07
PGSC0003DMG400024452Pyridoxal-dependent decarboxylase, C-terminal sheet domain-containing protein11.260.0000517.140.0000513.89
PGSC0003DMG4000232302-Isopropylmalate synthase A9.540.0000515.910.0000512.32
PGSC0003DMG400000776Extensin (ext)14.140.000058.730.0000511.11
PGSC0003DMG400002046Aspartic proteinase nepenthesin-19.290.0068513.090.000511.03
PGSC0003DMG400005670MAEWEST protein8.620.0007513.180.0038510.66
PGSC0003DMG400024113Gene of unknown function11.460.00078.850.000810.07
PGSC0003DMG400024602Conserved gene of unknown function8.440.005111.990.005210.06
PGSC0003DMG400019274Indole-3-acetic acid-amido synthetase GH3.68.170.000058.930.000058.54
PGSC0003DMG4000318502-Hydroxyisoflavanone dehydratase6.690.0034510.200.00688.26
PGSC0003DMG400031437Neryl diphosphate synthase 15.780.000059.510.000057.42
PGSC0003DMG400028593Histidine-containing phosphotransfer protein5.080.00489.910.000757.10
PGSC0003DMG400006319Beta-glucosidase 014.510.0000510.930.000057.02
PGSC0003DMG400015173ATP-binding protein10.030.000054.870.000056.99
PGSC0003DMG400015005Heavy metal-associated domain- containing protein4.370.007411.110.00056.97
PGSC0003DMG402002024Zinc finger protein5.750.000058.290.000056.91
PGSC0003DMG400006448Caffeoyl-CoA O-methyltransferase4.320.0000510.850.000056.84
PGSC0003DMG400016722Glutathione S-transferase4.210.0087510.950.000056.79
PGSC0003DMG400018579Histidine phosphotransfer protein5.520.000058.220.000056.74
PGSC0003DMG400019293NAC domain-containing protein7.660.001455.650.000956.58
PGSC0003DMG400023112Kinesin5.490.00096.930.00046.17
PGSC0003DMG400010713Salt-responsive protein 28.540.000054.270.000056.04
PGSC0003DMG400002899AP2/ERF domain-containing transcription factor7.650.00014.760.00196.03
PGSC0003DMG400000493Carbonic anhydrase6.900.000055.220.000056.00
PGSC0003DMG400020156Pectase lyase5.960.000055.890.000055.92
PGSC0003DMG400011226Sodium/potassium/calcium exchanger 64.660.000057.410.000055.87
PGSC0003DMG403007838Purple acid phosphatase 34.370.000557.870.000055.87
PGSC0003DMG400003084Two-component response regulator ARR87.720.000054.290.000055.76
PGSC0003DMG400024593Glycosyltransferase UGT90A76.440.000055.040.000055.70
PGSC0003DMG400000730Transcription factor4.660.000056.560.000055.53
PGSC0003DMG400009268Proteinase inhibitor4.070.000057.150.000055.39
PGSC0003DMG400017189Desacetoxyvindoline 4-hydroxylase5.230.000355.110.000055.17
PGSC0003DMG400028229Calcium-dependent protein kinase CDPK124.850.000055.120.000054.98
PGSC0003DMG400002520Zinc finger protein4.060.000055.480.000054.72
PGSC0003DMG400012977VQ motif-containing protein4.800.00674.610.00534.70
PGSC0003DMG400002519Zinc finger protein4.340.000054.880.000054.61
PGSC0003DMG400027212ATP:citrate lyase4.220.000154.860.000054.53
PGSC0003DMG400032780Conserved gene of unknown function4.680.000054.220.000054.44
PGSC0003DMG400026023Nuc-1 negative regulatory protein preg4.110.001054.730.00014.41
PGSC0003DMG400025479PHAP2A protein4.020.000054.510.000054.26
Table 2.

Down-regulated genes in StMYB44-overexpressing lines

Gene_idGeneFold change OE22/WT P-valueFold change OE30/WT P-valueAverage fold change
PGSC0003DMG400000207Arabinogalactan peptide 160.000.00010.000.000050.00
PGSC0003DMG400019040Gene of unknown function0.000.00010.000.000050.00
PGSC0003DMG400020686Gene of unknown function0.000.000050.000.000050.00
PGSC0003DMG400014767CND41, chloroplast nucleoid DNA- binding protein0.020.002650.020.002650.02
PGSC0003DMG400011740SGA rhamnose:beta-solanine/beta- chaconine rhamnosyltransferase0.020.000050.020.000050.02
PGSC0003DMG400004143SF16 protein0.030.002650.030.000050.03
PGSC0003DMG400011334Phylloplanin0.060.000050.020.002650.04
PGSC0003DMG400020677Conserved gene of unknown function0.050.00280.040.002650.04
PGSC0003DMG400024770Conserved gene of unknown function0.040.000050.040.000050.04
PGSC0003DMG400014104Patatin-2-Kuras 40.050.000050.050.000050.05
PGSC0003DMG400023922Cytoplasmic small heat shock protein class I0.110.000050.030.000050.05
PGSC0003DMG400030957Cysteine proteinase0.050.002650.060.000150.05
PGSC0003DMG400000123Calcium-transporting ATPase, endoplasmic reticulum-type0.070.000050.060.000050.06
PGSC0003DMG400006782Conserved gene of unknown function0.090.000050.050.000050.07
PGSC0003DMG4000009843-Oxo-5-alpha-steroid 4-dehydrogenase family protein0.050.00280.100.00680.07
PGSC0003DMG400039214Arachidonic acid-induced DEA10.040.000050.140.000050.08
PGSC0003DMG400010048Conserved gene of unknown function0.080.000050.080.000050.08
PGSC0003DMG400011749UDP-galactose:solanidine galactosyltransferase0.050.000050.140.000050.08
PGSC0003DMG402017090Patatin-04/090.080.000050.080.000050.08
PGSC0003DMG400010067DNA-binding protein0.100.00040.070.000150.08
PGSC0003DMG400011750Cytochrome P-4500.070.000050.100.000050.08
PGSC0003DMG400016458Multi-antimicrobial extrusion family protein0.060.00020.120.000050.09
PGSC0003DMG400011752Cellulose synthase0.060.000050.120.000050.09
PGSC0003DMG400029503ETAG-A30.090.000050.080.000050.09
PGSC0003DMG400026404Fragment0.090.000050.080.000050.09
PGSC0003DMG400000048Cysteine synthase0.080.000050.100.000050.09
PGSC0003DMG400024983Tuber-specific and sucrose- responsive element-binding factor0.120.000050.080.000050.10
PGSC0003DMG402008890Aldo-keto reductase family 4 member C100.130.000050.070.000050.10
PGSC0003DMG4000117512-Oxoglutarate-dependent dioxygenase0.090.000050.100.000050.10
PGSC0003DMG400004616Invertase inhibitor0.120.00770.080.003150.10
PGSC0003DMG400009033Myb 12 transcription factor0.070.000050.130.000050.10
PGSC0003DMG400002495C2H2L domain class transcription factor0.110.000050.090.000050.10
PGSC0003DMG400021142DWARF1/DIMINUTO0.100.000050.110.000050.10
PGSC0003DMG400022933Auxin-induced beta-glucosidase0.070.000050.140.000050.10
PGSC0003DMG400012797Short-chain dehydrogenase/ reductase family protein0.110.000050.100.000050.10
PGSC0003DMG400018930Proteinase inhibitor I4, serpin0.100.00530.110.00070.10
PGSC0003DMG400002028Cytoplasmic small heat shock protein class I0.150.000150.070.0030.10
PGSC0003DMG400031792Endo-1,4-beta-glucanase0.110.000050.100.000050.11
PGSC0003DMG400003411DNA-damage-inducible protein f0.150.000050.080.000050.11
PGSC0003DMG400011350OrfB protein0.100.000050.110.000050.11
PGSC0003DMG400012763C-4 sterol methyl oxidase0.100.000050.120.000050.11
PGSC0003DMG400014339Remorin0.130.000050.090.000050.11
PGSC0003DMG400032817Squamosa promoter binding0.160.000050.070.002850.11
PGSC0003DMG400017505Nam 110.130.001350.090.004350.11
PGSC0003DMG400012183Endo-1,4-beta-glucanase0.110.006050.120.00080.11
PGSC0003DMG401019681Serine-threonine protein kinase, plant-type0.100.003450.120.000050.11
PGSC0003DMG400010215Cysteine protease0.080.000050.150.000050.11
PGSC0003DMG400020777Gene of unknown function0.130.000050.100.000050.11
PGSC0003DMG400014347PAR-1c protein0.190.000050.070.000050.11
PGSC0003DMG400014543Monoglyceride lipase0.100.000050.130.000050.12
PGSC0003DMG400023419Receptor kinase THESEUS 10.130.000150.110.00010.12
PGSC0003DMG400000523Kinesin light chain0.240.000050.060.00020.12
PGSC0003DMG400018140Cytochrome P450 71A40.140.00840.110.00480.12
PGSC0003DMG400021814Conserved gene of unknown function0.180.00040.090.003950.12
PGSC0003DMG400007552Conserved gene of unknown function0.100.000050.150.000050.13
PGSC0003DMG400001544Conserved gene of unknown function0.120.00080.140.000050.13
PGSC0003DMG400024362Anthranilate N-benzoyltransferase protein0.240.000050.070.000050.13
PGSC0003DMG400015230Pectate lyase0.180.000050.090.000050.13
PGSC0003DMG401028252Beta-fructofuranosidase0.150.000050.110.000050.13
PGSC0003DMG400000719Sec14 cytosolic factor0.150.000050.120.000050.13
PGSC0003DMG400005526Cytochrome P4500.210.000050.080.000050.13
PGSC0003DMG400005734FK506-binding protein0.210.000050.080.000050.13
PGSC0003DMG400031763Conserved gene of unknown function0.120.000050.160.000050.14
PGSC0003DMG400028622Acyl-protein thioesterase0.100.000050.180.000050.14
PGSC0003DMG400019429Conserved gene of unknown function0.160.000050.120.00010.14
PGSC0003DMG400030784Glutaredoxin family protein0.170.00040.110.00070.14
PGSC0003DMG400012147Conserved gene of unknown function0.190.000150.100.007050.14
PGSC0003DMG400006221Conserved gene of unknown function0.150.000050.140.000050.14
PGSC0003DMG400001598Snakin-20.140.000050.150.000050.15
PGSC0003DMG400027047UPF0497 membrane protein0.140.000050.150.000050.15
PGSC0003DMG402003937P69E protein0.180.003950.120.007350.15
PGSC0003DMG401031196WRKY transcription factor 160.200.000050.110.000050.15
PGSC0003DMG400005633Conserved gene of unknown function0.220.000050.100.000050.15
PGSC0003DMG400007621GAST1 protein0.180.000450.120.00090.15
PGSC0003DMG400004493GATA domain class transcription factor0.240.000050.090.000550.15
PGSC0003DMG400027937Conserved gene of unknown function0.190.001050.120.00090.15
PGSC0003DMG400003848Sugar transporter0.190.000050.120.000050.15
PGSC0003DMG400004009Phospholipase C0.170.000050.140.000050.15
PGSC0003DMG400029937ZIP family metal transporter0.160.000050.140.000050.15
PGSC0003DMG402012192Zinc finger protein0.110.000050.230.000050.16
PGSC0003DMG400003626Lactoylglutathione lyase0.160.000050.160.000050.16
PGSC0003DMG400018565Alcohol dehydrogenase0.130.000050.210.000050.16
PGSC0003DMG400013828Vacoular processing enzyme 10.210.000050.130.000050.16
PGSC0003DMG400025896Proteinase inhibitor 10.180.000050.160.000050.16
PGSC0003DMG400002156C-4 sterol methyl oxidase 20.230.000050.120.000050.17
PGSC0003DMG400018611Glycosyl transferase family 17 protein0.220.00010.130.001250.17
PGSC0003DMG402008895Tropinone reductase 10.210.000050.140.000050.17
PGSC0003DMG400010223Phytophthora-inhibited protease 10.240.000050.120.000050.17
PGSC0003DMG400020084Zinc finger protein0.240.000050.120.000150.17
PGSC0003DMG402000097Conserved gene of unknown function0.220.002050.140.001350.17
PGSC0003DMG400028295Gene of unknown function0.210.000050.140.000050.17
PGSC0003DMG400016977Diphosphoinositol polyphosphate phosphohydrolase0.230.00050.130.00130.17
PGSC0003DMG401019343DNA-binding protein0.180.000050.170.000050.18
PGSC0003DMG400014027Germin0.210.000050.140.000050.18
PGSC0003DMG400014173Polyphosphoinositide-binding protein0.180.000050.180.000050.18
PGSC0003DMG400017398Snf1-kinase beta subunit, plants0.180.000050.180.000050.18
PGSC0003DMG400014894Membrane protein0.200.00350.160.0020.18
PGSC0003DMG400000715Conserved gene of unknown function0.180.00010.180.000050.18
PGSC0003DMG400017163Xenotropic and polytropic murine leukemia virus receptor pho10.240.000050.140.000050.18
PGSC0003DMG400016651Transcription factor RF2b0.230.000050.150.000050.18
PGSC0003DMG400005035ARF GAP-like zinc finger-containing protein ZIGA30.250.000050.140.000050.19
PGSC0003DMG400001529Acidic 27 kDa endochitinase0.230.000050.150.000050.19
PGSC0003DMG400021603Hydroxyproline-rich glycoprotein (HRGP)EEYAN 0.160.000050.220.000050.19
PGSC0003DMG402027687Wound-inducible carboxypeptidase0.190.000050.190.000050.19
PGSC0003DMG400009892Prolyl endopeptidase0.220.000050.160.000050.19
PGSC0003DMG400015726Glutathione S-transferase0.170.00040.220.000050.19
PGSC0003DMG400030172Aspartic proteinase oryzasin-10.200.000050.190.000050.20
PGSC0003DMG400029620Chalcone synthase 1B0.190.000050.210.000050.20
PGSC0003DMG400032182Non-specific lipid-transfer protein0.200.004650.200.00190.20
PGSC0003DMG4000070183-Phosphoshikimate 1-carboxyvinyltransferase, chloroplastic0.210.000050.190.000050.20
PGSC0003DMG400015169Esterase0.210.000050.200.000050.21
PGSC0003DMG400014093Flavonol synthase0.200.000050.220.000050.21
PGSC0003DMG400021423Homeodomain leucine-zipper 10.230.000050.190.000050.21
PGSC0003DMG400005470Rab GTPase activator0.240.000050.200.000050.22
PGSC0003DMG400019110Chalcone synthase 20.240.000050.200.000050.22
PGSC0003DMG400009959Ornithine decarboxylase0.220.000050.220.000050.22
PGSC0003DMG402024767Pectinesterase0.220.000050.230.000050.22
PGSC0003DMG400011502PEP carboxylase kinase0.230.000050.220.000050.23
PGSC0003DMG400010034Photoreceptor-interacting protein0.220.000050.250.000050.23
PGSC0003DMG400022459BY-2 kinesin 50.220.000050.240.000050.23
PGSC0003DMG400006185Skp1 10.250.000050.220.000050.23
PGSC0003DMG400020253Ribonucleoside-diphosphate reductase small chain0.220.000050.240.000050.23
Up-regulated genes in StMYB44-overexpressing lines Down-regulated genes in StMYB44-overexpressing lines Potato StPHO1, sharing 67% amino acid identity with the Arabidopsis PHO1 (Supplementary Fig. S2), is predominantly expressed in potato roots (Fig. 6C), similar to the expression pattern of PHO1 in Arabidopsis (Hamburger ), and is expected to confer a similar Pi-translocating function in potato. qRT-PCR was used to confirm the decreased expression of StPHO1 detected by RNA-Seq, and the result showed that the expression of StPHO1 was significantly reduced in the StMYB44-overexpressing potato roots (Fig. 6D). Since PHO1 is the only identified gene with a known function related to Pi loading and translocation, the lowered Pi accumulation in the transgenic potato shoots could be attributed to the reduction of StPHO1 expression, caused by the overexpression of StMYB44, suggesting that StMYB44 negatively regulates Pi translocation from roots to shoots by specifically suppressing the expression of StPHO1.

Knock-out of StMYB44 by using the CRISPR/Cas9 system

The CRISPR/Cas9 system was employed to generate StMYB44 knock-out lines in potato (Xing ) using the nucleotide sequence from 376 to 396 of StMYB44 mRNA as guide RNA. After Agrobacterium-mediated transformation, a total of 11 kanamycin-resistant potato lines were obtained, and PCR genotyping detected Cas9 in all transgenic lines (Supplementary Fig. S3A). A fragment of ~300 bp of StMYB44 harboring the target region was amplified by PCR and sequenced (Supplementary Fig. S3B), indicating that 9 out of 11 lines carried mutant StMYB44 alleles, with a 81.8% frequency of gene editing for this CRISPR/Cas9 system in potato. The targeted mutations ranged from 2 to 120 deleted nucleotides in all of these nine transgenic plants. In addition to deletions, insertions of nucleotide A or T were observed in four lines, C12, C17, C19, and C21, consistent with reports on other plant species (H. Zhang ; Ma ). Désirée is a tetraploid potato cultivar, and single nucleotide polymorphism (SNP) analysis of the cloned StMYB44 fragments indicated that it had eight alleles of StMYB44 (Supplementary Fig. S4). The sequencing results also indicated that wild-type alleles of StMYB44 were still present in C3, C12, C17, and C21, showing that not all the alleles in transgenic potato were modified. To better understand the degree of the reduced expression of StMYB44 in these lines, the expression level of wild-type StMYB44 in leaves was measured by RT-PCR. Expression of wild-type StMYB44 was hardly detected in the selected transgenic plants, while it remained high in wild-type plants (Supplementary Fig. S3C). All StMYB44 knock-out lines displayed no visible phenotype compared with the wild type under normal conditions, except one line, C14, which grew more slowly and carried smaller leaves than the wild type. No statistically significant difference was observed in Pi content in shoots and roots between three selected StMYB44 knock-out lines and wild-type plants (Supplementary Fig. S5A, B). StPHO1 was expressed similarly in both the transgenic potato roots and wild-type roots (Supplementary Fig. S5C), implying that knock-out of StMYB44 is not enough to increase transcription of StPHO1, probably due to the presence of other negative transcription factors. Expression of StPHO1 and Pi contents were similar in C14 and the wild type (Supplementary Fig. S5), suggesting that the abnormal phenotypic change of C14 was most probably caused by an insertion in a development-related gene instead of Pi metabolism.

StMYB44 interacts with AtWRKY6 and StWRKY6 in vivo

Transcription factor AtWRKY6 binds to the W-boxes in the AtPHO1 promoter and suppresses its expression in Arabidopsis (Chen ). Three W-boxes [(T)TGAC(C/T)] were identified in the 1.5 kb StPHO1 promoter. In addition, a MYB-binding site I (MBSI) (CCGTTG), located 297 bp upstream of ATG, was identified in the potato PHO1 (Fig. 7A). EMSA showed that Arabidopsis AtMYB44 directly binds to the MBSI motif (Jung ). It is highly possible that StMYB44 could regulate the transcription of StPHO1 by directly binding to the MBSI motif as StMYB44 shares a high amino acid identity with AtMYB44 in the DNA-binding domains (Supplementary Fig. S1). Furthermore, the juxtaposition of two kinds of cis-elements led to speculation that StMYB44 interacts with AtWRKY6 to form a protein complex. This hypothesis was tested by fusing StMYB44 to the C-terminal half of YFP (StMYB44–cYFP), and AtWRKY6 and StWRKY6 to the N-terminal half (AtWRKY6–nYFP and StWRKY6–nYFP), respectively, and introduced into tobacco leaves by agroinfiltration. Co-expression of 35S:StMYB44–cYFP and 35S:AtWRKY6–nYFP, 35S:StMYB44–cYFP, and 35S:StWRKY6–nYFP resulted in a YFP signal in the nucleus (Fig. 7B). In contrast, no YFP signal was detected when combinations of 35S:nYFP and 35S:cYFP, 35S:StMYB44–cYFP and 35S:nYFP, 35S:cYFP and 35S:AtWRKY6–nYFP, and 35S:cYFP and 35S:StWRKY6–nYFP were expressed (Fig. 7B). These results demonstrated that StMYB44 interacts with AtWRKY6 and StWRKY6 in planta.
Fig. 7.

StMYB44 interacts with AtWRKY6 and StWRKY6 in vivo. (A) Analysis of cis-elements in the StPHO1 promoter. Only the W-box (blue box) and MBSI (yellow box) are shown. (B) Interactions of StMYB44 with AtWRKY6 and StWRKY6. A suspension of Agrobacterium cells (OD600=0.05 for each strain) was infiltrated into N. benthamiana leaves. Infiltrated leaf discs were detached and examined 3 d after infiltration.

StMYB44 interacts with AtWRKY6 and StWRKY6 in vivo. (A) Analysis of cis-elements in the StPHO1 promoter. Only the W-box (blue box) and MBSI (yellow box) are shown. (B) Interactions of StMYB44 with AtWRKY6 and StWRKY6. A suspension of Agrobacterium cells (OD600=0.05 for each strain) was infiltrated into N. benthamiana leaves. Infiltrated leaf discs were detached and examined 3 d after infiltration.

Discussion

The regulatory mechanism of Pi starvation responses in plants has been the subject of intensive investigation. A number of key genes controlling Pi homeostasis and regulation have been identified in plants, mainly in Arabidopsis and rice, where mutants or transgenic plants are easier to acquire (Rubio ; Hamburger ; Chen ; Rouached ; López-Arredondo ). However, relatively limited information is available in species in which either a mutant collection does not exist or the generation of transgenics is more difficult. Here, the RNA-Seq approach was selected which has been widely used to study dynamic changes in gene expression in Pi-deficient plants, including Arabidopsis, white lupin, rice, and wheat (Lan ; Oono ; O’Rourke ; Secco ). In the present study, a transcriptomic analysis was conducted of potato root in response to low Pi by RNA-Seq, and StMYB44, one of the transcription factor genes identified, was characterized in more detail.

Genetic responses to Pi starvation in potato roots

A total of 359 genes were identified to be Pi deficiency responsive (Supplementary Tables S1, S2). The number of differentially expressed genes is higher than that (147) in Pi-deficient maize roots at day 3 after treatment, and lower than that (967) in maize roots at day 6 after treatment, as reported in previous studies (Calderon-Vazquez ). These genes functioned in diverse biological processes as shown by Gene Ontology (GO) analysis, including Pi homeostasis and other related metabolic processes (Fig. 1A), suggesting that Pi deficiency causes profound changes in these processes in potato roots. Common genetic responses to Pi starvation in potato and other plant species regarding Pi uptake, distribution, and signaling, lipid metabolism, carbon assimilation, and other stress pathways were observed, supporting the notion that Pi-deficient responses are largely conserved among plants (Franco-Zorrilla ; Calderon-Vazquez ). Interestingly, differentially expressed genes involved in two biological processes, cellular responses to fungus and nitric oxide, and negative regulation of endopeptidase activity, were also identified. The connections between Pi starvation and these biological processes were not reported in previous studies and thus could be interesting to explore in future research. Although the focus of this study was on molecular responses to Pi starvation in potato roots, a comparison of our results with one of the previous studies in which the potato leaf was analyzed led to the identification of similar or distinct metabolic pathways between the two tissues. A few pathways involved in starch accumulation, protein degradation, lipid metabolism, and S uptake were activated, and the expression of the associated genes encoding starch synthase, phosphofructokinase, E3 ubiquitin ligase, and ubiquitin-protein ligase, plus SUT3, was found to be increased in both leaf and root tissues (Supplementary Table S1) (Hammond ). In contrast, different responses to Pi deficiency were also observed between shoot and root in potato. For example, the patatin-encoding gene and four Phospholipase A1 (PLA1) genes were down-regulated in roots, while two Phospholipase D (PLD) genes were up-regulated in potato leaves under Pi-limiting conditions (Hammond ). As the main tuber storage proteins, patatins also possess phospholipase A2 (PLA2) activity (Senda ). PLDs hydrolyze structural phospholipids, while PLAs hydrolyze galactolipids more efficiently than phospholipids and are involved in auxin signaling in roots (Rietz ; Canonne ). The up-regulation of PLD genes in shoot and down-regulation of PLA genes in root indicated that the breakdown of phospholipids mainly occurs in the shoot while an altered auxin signaling mediated by PLAs occurss in root during Pi deficiency.

StMYB44 is a negative regulator of Pi transport from roots to shoots

The major purpose of this study was to identify the novel signaling transducers in potato in response to Pi deficiency. MYBs are among the well-characterized transcription factors regulating Pi deficiency responses. According to the phenotypic effect of either overexpression or knock-out of these MYB genes on Pi homeostasis, PHR1/OsPHR2, PSR1, AtMYB2, and OsMYB2P-1 had positive effects on Pi uptake or transport (Wykoff ; Rubio ; Zhou ; Dai ; Baek ), whereas MYB62 negatively regulates Pi content in the shoot by reducing Pi uptake and acid phosphatase activity (Devaiah ). Our study demonstrated that StMYB44 plays a negative role in Pi transport from root to shoot by regulating the transcription of PHO1. Genetic analysis has already demonstrated that the transcription of PHO1 is negatively regulated by the transcription factor AtWRKY6 in Arabidopsis (Chen ). Regulation of PHO1 by StMYB44, a transcription factor from a different family from AtWRKY6, in plant roots indicated an additional regulatory mechanism of Pi transport, expanding our knowledge of the physiological functions of this gene family. It is important to realize that the strong shoot morphological alterations in the StMYB44 overexpression lines are less likely to be caused by the reduced allocation of Pi from root to shoot. How StMYB44 mediates the growth and development of potato is worth future exploration, although current interest is focused on its involvement in Pi metabolism.

Control of PHO1 expression by multiple transcription factors

PHO1 is responsible for Pi transport from roots to shoots by loading Pi to the xylem (Hamburger ). Transcription of PHO1 is under tight control in response to Pi availability since PHO1 was induced by Pi starvation and quickly recovered by Pi resupply in rice (Secco ). A number of cis-elements, which can be recognized by several regulatory proteins including MYB transcription factors, in the promoter of Arabidopsis PHO1 were predicted. Similarly, the promoter region of StPHO1 was predicted to harbor several regulatory cis-elements, including binding sites for both WRKY transcription factors (W-box) and MYB transcription factors, suggesting that MYB transcription factors, such as StMYB44, could be involved in the regulation of StPHO1 expression by binding directly to its cis-elements. Moreover, it is known that not only can WRKY transcription factors physically interact with other members in the same family but they can also interact with transcription factors or regulatory proteins in other families. For example, AtWRKY6 and AtWRKY42 interacted with each other in Arabidopsis (Chen ). HvWRKY38 interacted with Barley Prolamin-Box Binding Factor (BPBF), a non-WRKY transcription factor, to repress the expression of Amy32b in barley aleurone cells (Zou ). These results demonstrated that these interactions could play an important role in the regulation of genes controlled by WRKY proteins, as documented previously (Chi ). This study showed that StMYB44 physically interacts with AtWRKY6 and StWRKY6 in vivo. To our knowledge, this is the first time that these two classes of transcription factors, WRKY and R2R3 MYB, were demonstrated to interact in the nucleus. These interactions allow us to propose that StMYB44 forms a complex with StWRKY6 in potato to regulate StPHO1 expression synergistically. Under normal conditions, expression of PHO1 is tightly controlled by the transcriptional complex to avoid overaccumulation of Pi in shoots, while upon Pi deficiency, removal of repressors StWRKY6 and/or StMYB44 leads to a lowered abundance of the transcription factor complex, facilitating the transcription of PHO1 and associated Pi transport from root to shoot. Further studies, such as functional analysis of other Pi deficiency-responsive transcription factors or identification of StMYB44-interacting proteins, would not only advance our knowledge on the regulatory mechanism of potato in response to Pi starvation, but also shed light on the selection of candidate genes that could be used for genetic enhancement of Pi deficiency tolerance in potato and other crops. RNA-Seq data in this study have been deposited in GenBank with accession no. SRP083083.

Author contributions

XZ and CZ conceived the project and designed the experiments; XZ and MZ performed the experiments; JH and MI provided technical assistance; XZ, LL, and CZ analyzed the data and wrote the article. Click here for additional data file.
  62 in total

Review 1.  Protein-protein interactions in the regulation of WRKY transcription factors.

Authors:  Yingjun Chi; Yan Yang; Yuan Zhou; Jie Zhou; Baofang Fan; Jing-Quan Yu; Zhixiang Chen
Journal:  Mol Plant       Date:  2013-03-02       Impact factor: 13.164

2.  Purification and characterization of two secreted purple acid phosphatase isozymes from phosphate-starved tomato (Lycopersicon esculentum) cell cultures.

Authors:  Gale G Bozzo; Kashchandra G Raghothama; William C Plaxton
Journal:  Eur J Biochem       Date:  2002-12

3.  SPX1 is a phosphate-dependent inhibitor of Phosphate Starvation Response 1 in Arabidopsis.

Authors:  María Isabel Puga; Isabel Mateos; Rajulu Charukesi; Zhiye Wang; José M Franco-Zorrilla; Laura de Lorenzo; María L Irigoyen; Simona Masiero; Regla Bustos; José Rodríguez; Antonio Leyva; Vicente Rubio; Hans Sommer; Javier Paz-Ares
Journal:  Proc Natl Acad Sci U S A       Date:  2014-09-30       Impact factor: 11.205

4.  A conserved MYB transcription factor involved in phosphate starvation signaling both in vascular plants and in unicellular algae.

Authors:  V Rubio; F Linhares; R Solano; A C Martín; J Iglesias; A Leyva; J Paz-Ares
Journal:  Genes Dev       Date:  2001-08-15       Impact factor: 11.361

5.  Dissection of local and systemic transcriptional responses to phosphate starvation in Arabidopsis.

Authors:  Marie-Christine Thibaud; Jean-François Arrighi; Vincent Bayle; Serge Chiarenza; Audrey Creff; Regla Bustos; Javier Paz-Ares; Yves Poirier; Laurent Nussaume
Journal:  Plant J       Date:  2010-11-02       Impact factor: 6.417

Review 6.  Phosphate nutrition: improving low-phosphate tolerance in crops.

Authors:  Damar Lizbeth López-Arredondo; Marco Antonio Leyva-González; Sandra Isabel González-Morales; José López-Bucio; Luis Herrera-Estrella
Journal:  Annu Rev Plant Biol       Date:  2014-02-24       Impact factor: 26.379

7.  Interactions of two transcriptional repressors and two transcriptional activators in modulating gibberellin signaling in aleurone cells.

Authors:  Xiaolu Zou; Dawn Neuman; Qingxi J Shen
Journal:  Plant Physiol       Date:  2008-07-11       Impact factor: 8.340

8.  Transcript profiling of Zea mays roots reveals gene responses to phosphate deficiency at the plant- and species-specific levels.

Authors:  Carlos Calderon-Vazquez; Enrique Ibarra-Laclette; Juan Caballero-Perez; Luis Herrera-Estrella
Journal:  J Exp Bot       Date:  2008-05-23       Impact factor: 6.992

9.  OsPHR2 is involved in phosphate-starvation signaling and excessive phosphate accumulation in shoots of plants.

Authors:  Jie Zhou; FangChang Jiao; Zhongchang Wu; Yiyi Li; Xuming Wang; Xiaowei He; Weiqi Zhong; Ping Wu
Journal:  Plant Physiol       Date:  2008-02-08       Impact factor: 8.340

10.  Diversity in the complexity of phosphate starvation transcriptomes among rice cultivars based on RNA-Seq profiles.

Authors:  Youko Oono; Yoshihiro Kawahara; Takayuki Yazawa; Hiroyuki Kanamori; Masato Kuramata; Harumi Yamagata; Satomi Hosokawa; Hiroshi Minami; Satoru Ishikawa; Jianzhong Wu; Baltazar Antonio; Hirokazu Handa; Takeshi Itoh; Takashi Matsumoto
Journal:  Plant Mol Biol       Date:  2013-07-16       Impact factor: 4.076

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  28 in total

Review 1.  Prospects for potato genome editing to engineer resistance against viruses and cold-induced sweetening.

Authors:  Amir Hameed; Muhammad Aamer Mehmood; Muhammad Shahid; Shabih Fatma; Aysha Khan; Sumbal Ali
Journal:  GM Crops Food       Date:  2019-07-06       Impact factor: 3.074

Review 2.  Purple acid phosphatases: roles in phosphate utilization and new emerging functions.

Authors:  Jyoti Bhadouria; Jitender Giri
Journal:  Plant Cell Rep       Date:  2021-08-17       Impact factor: 4.570

3.  Elucidation of the Mechanisms of Long-Distance mRNA Movement in a Nicotiana benthamiana/Tomato Heterograft System.

Authors:  Chao Xia; Yi Zheng; Jing Huang; Xiangjun Zhou; Rui Li; Manrong Zha; Shujuan Wang; Zhiqiang Huang; Hai Lan; Robert Turgeon; Zhangjun Fei; Cankui Zhang
Journal:  Plant Physiol       Date:  2018-05-02       Impact factor: 8.340

4.  Leaf Transcriptome and Weight Gene Co-expression Network Analysis Uncovers Genes Associated with Photosynthetic Efficiency in Camellia oleifera.

Authors:  Zhilong He; Caixia Liu; Xiangnan Wang; Rui Wang; Yun Tian; Yongzhong Chen
Journal:  Biochem Genet       Date:  2020-10-10       Impact factor: 1.890

Review 5.  Plant genome editing with TALEN and CRISPR.

Authors:  Aimee Malzahn; Levi Lowder; Yiping Qi
Journal:  Cell Biosci       Date:  2017-04-24       Impact factor: 7.133

6.  StMYB44 negatively regulates anthocyanin biosynthesis at high temperatures in tuber flesh of potato.

Authors:  Yuhui Liu; Kui Lin-Wang; Richard V Espley; Li Wang; Yuanming Li; Zhen Liu; Ping Zhou; Lihui Zeng; Xiaojing Zhang; Junlian Zhang; Andrew C Allan
Journal:  J Exp Bot       Date:  2019-08-07       Impact factor: 6.992

7.  CRISPR-based tools for plant genome engineering.

Authors:  Nathalia Volpi E Silva; Nicola J Patron
Journal:  Emerg Top Life Sci       Date:  2017-11-10

8.  Establishment of a modified CRISPR/Cas9 system with increased mutagenesis frequency using the translational enhancer dMac3 and multiple guide RNAs in potato.

Authors:  Hiroaki Kusano; Mariko Ohnuma; Hiromi Mutsuro-Aoki; Takahiro Asahi; Dai Ichinosawa; Hitomi Onodera; Kenji Asano; Takahiro Noda; Takaaki Horie; Kou Fukumoto; Miho Kihira; Hiroshi Teramura; Kazufumi Yazaki; Naoyuki Umemoto; Toshiya Muranaka; Hiroaki Shimada
Journal:  Sci Rep       Date:  2018-09-13       Impact factor: 4.379

Review 9.  CRISPR/Cas9 Mediated Genome Engineering for Improvement of Horticultural Crops.

Authors:  Suhas G Karkute; Achuit K Singh; Om P Gupta; Prabhakar M Singh; Bijendra Singh
Journal:  Front Plant Sci       Date:  2017-09-22       Impact factor: 5.753

10.  Generation of transgene-free PDS mutants in potato by Agrobacterium-mediated transformation.

Authors:  Zsófia Bánfalvi; Edina Csákvári; Vanda Villányi; Mihály Kondrák
Journal:  BMC Biotechnol       Date:  2020-05-12       Impact factor: 2.563

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