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Article

A Model to Incorporate the bHLH Transcription Factor OsIRO3 within the Rice Iron Homeostasis Regulatory Network

by
Oscar Carey-Fung
1,
Martin O’Brien
2,
Jesse T. Beasley
1 and
Alexander A. T. Johnson
1,*
1
School of BioSciences, The University of Melbourne, Parkville, VIC 3010, Australia
2
Department of Animal, Plant and Soil Sciences, La Trobe University, Bundoora, VIC 3086, Australia
*
Author to whom correspondence should be addressed.
Int. J. Mol. Sci. 2022, 23(3), 1635; https://doi.org/10.3390/ijms23031635
Submission received: 30 December 2021 / Revised: 21 January 2022 / Accepted: 27 January 2022 / Published: 31 January 2022
(This article belongs to the Special Issue Crop Genome Editing)
Browse Figures
Versions Notes

Abstract

:
Iron (Fe) homeostasis in plants is governed by a complex network of regulatory elements and transcription factors (TFs), as both Fe toxicity and deficiency negatively impact plant growth and physiology. The Fe homeostasis network is well characterized in Arabidopsis thaliana and remains poorly understood in monocotyledon species such as rice (Oryza sativa L.). Recent investigation of the rice Fe homeostasis network revealed OsIRO3, a basic Helix–Loop–Helix (bHLH) TF as a putative negative regulator of genes involved in Fe uptake, transport, and storage. We employed CRISPR-Cas9 gene editing to target the OsIRO3 coding sequence and generate two independent T-DNA-free, loss-of-function iro3 mutants in rice cv. Nipponbare. The iro3 mutant plants had similar phenotype under nutrient-sufficient conditions and had stunted growth under Fe-deficient conditions, relative to a T-DNA free, wild-type control (WT). Under Fe deficiency, iro3 mutant shoots had reduced expression of Fe chelator biosynthetic genes (OsNAS1, OsNAS2, and OsNAAT1) and upregulated expression of an Fe transporter gene (OsYSL15), relative to WT shoots. We place our results in the context of the existing literature and generate a model describing the role of OsIRO3 in rice Fe homeostasis and reinforce the essential function of OsIRO3 in the rice Fe deficiency response.

1. Introduction

Plants respond to abiotic stresses by modulating the expression of target genes through the activity of transcription factors (TFs). The basic Helix–Loop–Helix (bHLH) TF family is one of the largest TF families in plants and plays important roles in anthocyanin biosynthesis, hormone signalling, and nutrient uptake [1,2,3]. All bHLH proteins contain a conserved DNA-binding basic region and two alpha helices separated by a variable loop region, and homo/heterodimerise with other TFs prior to binding DNA. Once dimerised, the bHLH protein complex can regulate transcription by binding to the E-box (5′-CANNTG-3′) of gene promoters, and the specificity of binding is determined by the E-box sequence and its affinity to residues within the basic and loop regions of bHLH domains [2,4,5,6]. In rice (Oryza sativa L.), up to 211 bHLH TFs have been annotated within 12 recognised subgroups (http://planttfdb.gao-lab.org/ accessed on 12 October 2020), including the subgroups Ib, IVb, and IVc bHLH TFs responsible for maintaining cellular iron (Fe) homeostasis and responding to changes in environmental Fe conditions [2]. One rice subgroup, IVb bHLH TF, iron-related transcription factor 3 (OsIRO3), is upregulated in response to environmental Fe deficiency, and overexpression of OsIRO3 reduces the expression of Fe chelator biosynthetic genes and decreases plant growth and shoot Fe concentrations under Fe deficiency [7,8]. For these reasons, OsIRO3 was initially characterised as a putative negative regulator of the Fe deficiency response in rice. Within the rice Fe homeostasis regulatory network, OsIRO3 sits downstream of the master regulators iron deficiency-responsive element-binding factors 1 (OsIDEF1) and Hemerythrin motif-containing Really Interesting New Gene (RING) and zinc finger proteins 1 and 2 (OsHRZ1 and OsHRZ2), which are capable of sensing environmental Fe conditions [9,10,11]. The OsHRZ proteins are thought to regulate OsIRO3 expression via 26S proteasome-mediated degradation of Positive Regulator of Iron homeostasis proteins (OsPRI1/OsbHLH60, OsPRI2/OsbHLH58 and OsPRI3/OsbHLH59), which are subgroup IVc bHLH TFs and function as upstream positive regulators of OsIRO3 [12,13,14]. Putative targets for OsIRO3-mediated transcriptional repression include genes involved in Fe uptake and transport, Yellow Stripe-Like 15 (OsYSL15), Natural Resistance-Associated Macrophage Protein (OsNRAMP), and Iron Regulated Transporter (OsIRT1), and biosynthetic genes of the Fe chelators nicotianamine (NA) and 2′-deoxymugineic acid (DMA), Nicotianamine Synthase 1, 2, and 3 (OsNAS1, OsNAS2, and OsNAS3) and Nicotianamine aminotransferase 1 (OsNAAT1) [8,15].
Understanding the molecular function of OsIRO3 was initially guided by characterisation of POPEYE (AtPYE), the ortholog of OsIRO3 in Arabidopsis thaliana (Arabidopsis hereafter) [16]. Expression of AtPYE is positively regulated by subgroup IVc TFs and the AtPYE protein can dimerise with subgroup IVc TFs, suggesting that Fe regulatory bHLH TFs dynamically interact with each other [16,17,18]. Whether similar interactions occur between OsIRO3 and subgroup IVc (OsPRI) proteins in rice has yet to be determined. Under Fe deficiency, the AtPYE TF binds to the promoters of Zinc Induced Facilitator 1 (AtZIF1), Ferric Reductase Oxidase 3 (AtFRO3), and AtNAS4 genes via a bHLH domain and represses their expression. The mode of AtPYE-mediated transcriptional repression is thought to occur via a conserved ethylene-responsive element binding factor-associated amphiphilic repression (EAR) motif within the AtPYE protein, although the exact function of this motif has yet to be confirmed [19]. Loss-of-function AtPYE mutants displayed reduced tolerance to Fe deficiency, Fe toxicity in leaves, and increased expression of AtZIF1, AtFRO3 and AtNAS4 genes relative to WT plants, providing the first evidence that AtPYE proteins are critical for regulating plant metal homeostasis [20,21,22].
Recent gene editing studies have further characterised the function of OsIRO3 in rice using CRISPR-Cas9 technology to generate OsIRO3 gene knockouts [23,24,25]. From these studies, the OsIRO3 protein was observed to both homodimerise and heterodimerise with OsbHLH062, a subgroup IVb bHLH TF involved in responding to cold stress in rice [24,26]. The OsIRO3 homodimer was observed to bind the promoter and repress expression of the OsNAS3 gene, although the mode of OsIRO3-mediated transcriptional repression and the function of the OsIRO3-OsbHLH062 heterodimer was not determined [25]. Loss-of-function OsIRO3 mutants displayed a similar phenotype to AtPYE mutants in Arabidopsis, with reduced tolerance to Fe deficiency, leaf Fe toxicity and necrosis, and transcriptional modifications. Together, these results confirm that IRO3 and PYE proteins share similar functions in monocots and eudicots, respectively, although the exact function of OsIRO3 in the rice Fe deficiency response remains unclear.
In this study, we contribute to the rapidly growing body of knowledge on OsIRO3 function by generating novel CRISPR-Cas9-induced loss-of-function mutants of OsIRO3 in cultivar Nipponbare. By incorporating our results with those from other related studies, we propose a model describing the holistic role of OsIRO3 in regulating rice Fe homeostasis under both nutrient-sufficient and Fe-deficient conditions.

2. Results

2.1. Two Transgene-Free OsIRO3-Knockout Mutants Were Generated Using CRISPR-Cas9 Gene Editing

A CRISPR-Cas9 construct containing two guide RNA (gRNA) sequences targeting exon 3 (gRNA1) and exon 4 (gRNA2) of OsIRO3 was transformed into rice to generate loss-of-function mutants of OsIRO3 (Figure 1b,c and Figure S1). Two independent, homozygous, transgene-free OsIRO3-knockout mutants (hereafter referred to as iro3-1 and iro3-2) were isolated. Sequencing revealed a single nucleotide deletion at gRNA1 in both the iro3-1 and iro3-2 mutants, causing a frameshift mutation and four novel residues in the peptide sequence prior to a premature stop codon (Figure 1c,d). At gRNA2, the iro3-1 sequence contained a single nucleotide insertion, and the iro3-2 sequence contained a 361-nucleotide deletion (Figure 1c). The mRNA transcripts of both iro3-1 (typical length, fainter band) and iro3-2 (smaller length, brighter band) were detected via reverse-transcription polymerase chain reaction (PCR) (Figure 1e). Both iro3-1 and iro3-2 mutant proteins were predicted to contain a truncated bHLH domain and lack a C-terminus relative to the WT IRO3 protein (Figure 1d,f,g). We also isolated a transgene-free wild-type (WT) line from a segregating population containing no mutation at either gRNA, which served as our control genotype in the experiments (hereafter referred to as iro3-wt).

2.2. The iro3 Mutants Had Normal Growth under Conditions of Nutrient Sufficiency and Alkalinity Stress, and Showed Hypersensitivity to Fe Deficiency Relative to WT

Both iro3-1 and iro3-2 showed no phenotypic differences (tissue length and tissue weight) relative to iro3-wt under hydroponic nutrient-sufficient conditions (Figure S2). By day 10 of a hydroponic Fe deficiency treatment, iro3-1 and iro3-2 plants demonstrated necrosis and brown lesions on developing leaf tissues whilst iro3-wt plants demonstrated leaf chlorosis (Figure 2a,b). Following the Fe deficiency treatment, leaf SPAD was 2.50-fold (p = 0.012) and 2.91-fold (p = 0.008) lower in iro3-1 and iro3-2 plants, respectively, relative to iro3-wt (Figure 2c). Shoot length (cm) was 1.08-fold lower (p = 0.039) in iro3-1 and 1.17-fold lower (p = 0.001) in iro3-2 relative to iro3-wt in response to Fe deficiency (Figure 2d). Root fresh weight (g) was 1.44-fold lower (p = 0.052) in iro3-1 and 1.52-fold lower (p = 0.035) in iro3-2, and shoot fresh weight (g) was 1.23-fold lower (p = 0.141) in iro3-1 and 1.33-fold lower (p = 0.055) in iro3-2 relative to iro3-wt in response to Fe deficiency (Figure 2e). Under conditions of hydroponic alkalinity stress (14 mM Na2CO3), both iro3-1 and iro3-2 showed no phenotypic differences (tissue length and tissue weight) relative to iro3-wt (Figure 2f,g,h and Table S1). Under soil nutrient-sufficient conditions, both iro3-1 and iro3-2 demonstrated no difference in plant height (cm) and SPAD relative to iro3-wt, with the exception of lower plant height at day 5 (p = 0.042) and day 17 (p = 0.040), and lower SPAD at day 7 (p = 0.017) and day 17 (p = 0.012) for iro3-2 relative to iro3-wt (Figure 2i,j). Total above ground biomass (g DW) at harvest was 1.24-fold higher (p = 0.549) in iro3-1 and 1.46-fold higher (p = 0.106) in iro3-2 relative to iro3-wt.

2.3. Expression of Fe Homeostasis Genes Was Upregulated in iro3 Mutant and WT Shoot Tissues in Response to Fe Deficiency and Suggests a Key Role for IRO3 in the Regulation of Rice Fe Homeostasis

Transcriptional analysis of rice Fe homeostasis genes revealed upregulated expression of OsIRO3, OsIRO2, OsYSL15, OsIRT1, OsNAS1, OsNAS2 and OsNAAT1 in iro3-1, iro3-2, and iro3-wt shoot tissues by day 11 of a hydroponic Fe deficiency treatment (Figure 3a–g). Expression of OsNAS3 was downregulated in iro3-1, iro3-2, and iro3-wt shoot tissues in response to Fe deficiency (Figure 3h). Expression of OsIRO3 was similar between iro3-1 and iro3-wt, and 20.0-fold (p = 0.013) and 21.4-fold (p = 0.007) higher in iro3-2 relative to iro3-wt under Fe sufficiency and Fe deficiency, respectively (Figure 3a). Expression of OsYSL15 was 2.64-fold higher (p = 0.049) in iro3-1 and 1.92-fold higher (p = 0.270) in iro3-2 relative to iro3-wt under Fe deficiency. These results were integrated into a model for OsIRO3 function in regulating rice Fe homeostasis, as shown in Figure 4.

3. Discussion

Plants sense and respond to environmental Fe conditions through a signalling cascade of TFs in order to maximise Fe uptake and avoid Fe toxicity in tissues [27]. Functionally characterising regulatory components within this signalling cascade enhances our understanding of plant Fe stress tolerance and may lead to improvements in plant growth under Fe-limiting (e.g., alkaline) soil conditions (which represents up to 30% of global soils). The OsIRO3 gene was initially characterised as a putative transcriptional repressor within the rice Fe homeostasis network, as overexpression of OsIRO3 led to reduced tissue Fe concentrations and expression of Fe uptake and translocation genes [8]. More recently, the OsIRO3 TF was shown to negatively regulate OsNAS3 gene expression by binding to the OsNAS3 promoter via a conserved bHLH domain, although the exact mechanism behind OsIRO3-mediated transcriptional repression has yet to be determined [25]. A common form of transcriptional repression in plants occurs via EAR motifs which have consensus sequences LxLxL or DLNxxP. Functional characterisation of the subgroups IVb bHLH TF, AtbHLH11 demonstrated that the LxLxL EAR motif is essential for contacting the corepressor TOPLESS and recruiting a histone deacetylase to repress transcription repression [28,29]. We identified an LxLxL EAR motif near the C-terminus of the OsIRO3 protein (Figure 1d), and functional characterisation is now required to confirm that the EAR motif is essential for OsIRO3 proteins to negatively regulate target genes.
Including this study, three research groups have now generated unique loss-of-function OsIRO3 mutants by disrupting the conserved bHLH domain (encoded within exons 2, 3 and 4) and EAR motif (encoded within exon 4) within the IRO3 protein (Figure 4a). Our two gRNA sequences targeted exons 3 and 4 of the OsIRO3 gene and previous studies used gRNA sequences that targeted exons 1 and 2 (Figure 1b and Figure 4a) [24,25]. We successfully generated mutations at both gRNA sequence sites, and at gRNA2, these included both a single nucleotide insertion (iro3-1) and a 361-nucleotide deletion (iro3-2), although the effects of these mutations on OsIRO3 protein function are likely to be superseded by nonsense mutations at gRNA1 (Figure 1c,d). Expression of OsIRO3 was detected in shoot tissues of iro3-1 and iro3-2 mutants, suggesting that OsIRO3 transcripts are not degraded by nonsense-mediated RNA decay, which is a process that can occur in CRISPR-Cas9 gene-edited transcripts [30]. The significantly upregulated expression of OsIRO3 in iro3-2 mutant tissues relative to iro3-1 and iro3-wt was consistent with initial RT-PCR analyses of OsIRO3 expression in iro3-1 (lighter band) and iro3-2 (darker band) mutants and is likely due to mutational differences at gRNA2 (Figure 1a). Whether the large (361-nucleotide) deletion at the 3′ end of the OsIRO3 transcript in iro3-2 is responsible for these changes to OsIRO3 transcription and/or transcript stability due to removal of a regulatory element is unknown. MicroRNA binding sites were recently observed in several Fe homeostasis rice genes, and whether OsIRO3 contains similar elements will be the subject of future research. Despite these mutational differences, all iro3 mutants demonstrated strikingly similar phenotypes under nutrient-sufficient and Fe-deficient conditions across the three studies, suggesting the OsIRO3 protein was rendered non-functional by each unique mutation. Under nutrient sufficient hydroponic and soil conditions, the iro3-1 and iro3-2 mutants demonstrated no phenotypical differences to iro3-wt, with the exception of slightly reduced shoot height and SPAD in iro3-2 mutants during early stages of soil growth (Figure 2i–k and Figure S2). These slight reductions may indicate a temporary negative effect of OsIRO3 mutations on early plant growth and future research is required to comprehensively evaluate iro3 mutant agro-morphology under nutrient-sufficient soil conditions. Under Fe-deficient hydroponic conditions, the iro3-1 and iro3-2 mutants had reduced tissue length and biomass, and necrotic lesions on young leaves when compared to iro3-wt, suggesting that iro3 mutant shoot tissues undergo programmed cell death (PCD) as a result of oxidative stress (Figure 2a–e). A similar phenotype was observed in an Arabidopsis AtPYE T-DNA insertion line, which demonstrated poor tolerance to Fe deficiency and elevated tissue Fe concentrations relative to WT plants [16]. Under conditions of excess Fe, reactive oxygen species (ROS) accumulate due to the Fenton reaction and can lead to Fe-toxicity-mediated PCD (also known as ferroptosis) [31,32]. Previous hydroponic Fe deficiency experiments demonstrated significantly higher shoot Fe concentration, shoot ROS concentrations, and activity of OsNAC4 (a TF that regulates PCD) in iro3 mutants relative to WT plants [24,25,33]. In our study, upregulated expression of the NA-chelated Fe transporter OsYSL15 was detected in iro3 mutant shoots relative to iro3-wt shoots under hydroponic Fe deficiency (Figure 3c), suggesting that iro3 mutants translocate excess Fe to shoot tissues under Fe deficiency, which eventually results in Fe toxicity and ferroptosis [34].
Based on the results of these three studies, we have developed a model to describe the role of OsIRO3 in maintaining rice Fe homeostasis (Figure 4b–d). Under Fe sufficiency, OsIRO3 negatively regulates the expression of NA and DMA biosynthesis genes (OsNAS1, OsNAS2, OsNAS3 and OsNAAT1) and Fe transporters (OsYSL2, OsYSL15 and OsTOM1) in the roots, and promotes the expression of Fe sequestration genes (OsFer1, OsFer2 and OsVIT2) in shoot tissues (Figure 4b,d) [8,25]. A small (but significant) increase in NA concentration and Fe uptake gene expression within iro3 mutant root tissues under Fe sufficiency, coupled with no difference in iro3 mutant shoot or root Fe concentrations, suggests that IRO3 plays a minimal role in regulating Fe homeostasis in the absence of Fe stress (Figure 4c) [25]. By contrast, OsIRO3 plays a critical role in limiting the translocation of Fe from root tissues and regulating excess Fe within shoot tissues under Fe deficiency (Figure 2a–c, Figure 3c and Figure 4b) [8,24,25]. The significant increase in NA concentration in iro3 mutant root tissues under Fe deficiency is likely due to increased OsNAS3 expression in iro3 mutants relative to WT plants (Figure 4c) [25]. Among the three OsNAS genes of rice, OsNAS3 demonstrates a unique expression pattern restricted to vascular cells of rice root and leaf tissues, suggesting that NA synthesised by OsNAS3 enzymes may be more responsible for transporting Fe throughout plant tissues compared to NA synthesised by OsNAS1 and OsNAS2 enzymes [35,36]. The high expression of OsNAS3 (and associated increase in NA concentration) in iro3 mutant root tissues provides further evidence that OsNAS3 is a direct target of OsIRO3-mediated transcriptional repression [25]. We hypothesize that under Fe deficiency, high concentrations of OsNAS3-synthesised NA in iro3 mutants leads to excess root-to-shoot translocation of NA-chelated Fe, resulting in leaf Fe toxicity, ROS accumulation and ultimately ferroptosis. In response to shoot Fe toxicity, the iro3 mutants upregulate the expression of Fe-sequestering genes (OsFer1, OsFer2, OsNEET and OsVIT2) and downregulate the expression of NA biosynthesis genes (OsNAS1 and OsNAS2), which may account for the reduction in shoot NA concentrations observed in iro3 mutants relative to WT plants (Figure 3e–f and Figure 4b) [24,25].
Soil Fe deficiency manifests under alkaline (pH > 8.0) soils, although we observed no differences in iro3 mutant growth under hydroponic alkalinity stress conditions (Figure 2f–g and Table S1) [37]. The OsIRO3 gene is typically upregulated under alkalinity stress due to plants sensing low environmental Fe, and rice varieties that contain a deletion in the 5′UTR of OsIRO3 can tolerate alkalinity stress and exhibit low OsIRO3 expression under alkalinity stress conditions [38]. Together, these results suggest that a knockdown (rather than a knockout) of OsIRO3 may be more effective at improving rice abiotic stress tolerance. Alternatively, knocking out an essential IRO3 gene within a species that has inbuilt genome redundancy (such as in hexaploid bread wheat) may mimic the effect of an OsIRO3 knockdown, and represents a novel field of research for improving monocot abiotic stress tolerance [39].

4. Materials and Methods

4.1. Vector Construction and Plant Transformation

A CRISPR-Cas9 vector containing two guide RNA (gRNA) sequences, 5′-GGATAGGCAGAGTAATGGGA-3′ (gRNA 1) and 5’-GCAGCCGAGGTACCACAG-3′ (gRNA 2), which target exons 3 and 4 of the OsIRO3 gene, respectively, was generated using the protocol previously described in [40]. Briefly, a human codon optimised SpCas9 gene under the transcriptional control of the cauliflower mosaic virus (CaMV) 35S promoter was inserted into the pCAMBIA1300 vector, using a Gibson cloning strategy (New England Biolabs, Ipswich, MA, USA). To allow for multiplex editing capability, the two gRNAs were assembled using a tRNA-gRNA system under transcriptional control of a U3 small nucleolar RNA promoter from rice and inserted between the SpCas9 cassette and a hygromycin phosphotransferase plant-selectable marker gene [41]. The final vector was mobilised into Agrobacterium tumefaciens (strain AGL1) by electroporation prior to rice transformation.
Rice transformation was performed as described in [42]. Briefly, embryonic rice calli (cv. Nipponbare) were cocultured with Agrobacterium tumefaciens and placed on hygromycin-containing media (50 mg/L) for selection of successful transformation events. Recovered rice transformants (T0) were rooted on P media for 3–4 weeks (12 h photoperiod, 28 °C) prior to greenhouse acclimation and transfer to soil.

4.2. Isolation of Homozygous, Independent, Transgene-Free, iro3 Mutant and WT Plants and In Silico Detection of Potential Off-Target Sites

Forty-two T0 transformation events were screened using Sanger sequencing for mutations at gRNA 1 and gRNA 2 with primers 5′-AGCTGTTTTGATCACAAGGCATTGCG-3′ and 5′-TCTGATTGGTTGGAGCTGATCTACTCAGG-3′. Out of the 36 T0 transformation events that contained mutations at either gRNA 1 or gRNA 2, 10 advanced to the T1 generation. To identify transgene-free T1 plants, all transformants were screened with primers 5′-CTTGTATGGAGCAGCAGACGC-3′ and 5′-CTATTTCTTTGCCCTCGGACG-3′ specific to the hygromycin resistance gene hptII. Detection of insertions/deletions (indels) at gRNA 1 was performed using the derived Cleaved Amplified Polymorphic Sequences (dCAPS) method with primers 5′-ATACAACAACCTTCTGCAGAAGCGGATAGCCAGAG-3′ and 5′-GGAGGGTGCTGTTTTCTTGCCGGAGAGATTTTAC-3′, followed by digestion with the restriction enzyme BstXI. Detection of a single guanine deletion at gRNA 1 was performed using Sanger sequencing. Detection of single nucleotide insertions at gRNA 2 in T1 plants was performed using the dCAPS method with primers 5′-GAACAATGTGGCACGACCGCAGCCGAGGTAACC-3′ and 5′-TGTGCTATCATCTATCGTGCTACCACTACATTTGC-3′, followed by digestion with the restriction enzyme BslI. Two T2 independent, homozygous mutant, transgene-free lines (hereafter referred to as iro3-1 and iro3-2) and one T2 independent, homozygous WT, transgene-free line (hereafter referred to as iro3-wt) were selected for further analysis.
Potential off-target sites of the OsIRO3 Cas9-gRNA complexes were predicted using Cas-OFFinder (http://www.rgenome.net/cas-offinder/ accessed 20 June 2019) with parameters: mismatch number ≤ 2, DNA bulge size ≤ 0, and RNA bulge size ≤ 0, and no off-target sequences were identified.

4.3. Soil and Hydroponic Growth Conditions

Seeds of iro3-1, iro3-2, and iro3-wt were surface sterilised in ethanol (C2H5OH, 70%) and bleach (NaOCl, 30%) solutions separately for 30 min, rinsed with 18 MΩ H2O, and germinated on moist filter paper (12 h photoperiod, 28 °C day/24 °C night) for either four or seven days for hydroponic or soil experiments, respectively.
Hydroponic experiments utilised nutrient solutions containing all essential macronutrients NH4NO3 (5 mM), KNO3 (5 mM), Ca(NO3)2∙4H2O (2 mM), MgSO4∙7H2O (2 mM), and KH2PO4 (0.1 mM), and micronutrients H3BO3 (50 µM), MnCl2∙4H2O (5 µM), ZnSO4∙7H2O (5 µM), CuSO4∙5H2O (0.5 µM), NaMoO4∙2H2O (0.1 µM) and NaFe3+EDTA (50 µM). For the hydroponic experiments, nine germinated rice seedlings were transferred from filter paper to a hydroponic box (630 mL) containing nutrient solution and grown under optimal conditions in a growth chamber (12 h photoperiod, 28 °C day/24 °C night, 70% humidity). The hydroponic solution was replaced every 2–3 days and pH was maintained at 5.5. Each hydroponic box represented a biological replicate, and three biological replicates were established for iro3-1, iro3-2, and iro3-wt per treatment. For the Fe deficiency experiment, rice plants were exposed to six days of nutrient-sufficient conditions prior to eleven days of either Fe-sufficient (50 µM NaFe3+EDTA) or Fe-deficient (0 µM NaFe3+EDTA) conditions. After eleven days of Fe sufficiency or Fe deficiency, three plants from each replicate were combined to measure SPAD (youngest leaves) and harvest shoot and root tissues for phenotypic assessment. For the alkalinity stress experiment, rice plants were exposed to four days of nutrient-sufficient conditions, seven days of either alkalinity stress (14 mM Na2CO3) or control (0 mM Na2CO3) conditions, and a five day recovery period of nutrient-sufficient (0 mM Na2CO3) conditions, as previously described [38]. Following the recovery period, shoot and root tissues were harvested separately, and alkalinity tolerance was assessed phenotypically based on criteria previously described [43].
For the soil experiments, rice plants were sown in black plastic pots containing 1 L of soil mixture (one part fine sand, propagating sand, and potting media, and two parts vermiculite) as well as Osmocote® Exact Standard 8–9 M fertiliser (6 g/L). Plants were maintained under glasshouse conditions (26 °C and 70% humidity) at The University of Melbourne (Parkville, VIC 3010, Australia).

4.4. Protein Modelling

Amino acid sequences of the OsIRO3 protein bHLH domain from iro3 mutants and iro3-wt were submitted to the Phyre2 web portal (http://www.sbg.bio.ic.ac.uk/phyre2 accessed on 2 September 2019) for protein modelling, prediction and analysis [44]. The protein models in Figure 1 were generated and annotated using EzMol molecular display wizard http://www.sbg.bio.ic.ac.uk/ezmol/ accessed on 2 September 2019) based on outputs from Phyre2 software v2.0 [45].

4.5. Quantitative Reverse Transcription-PCR (qRT-PCR) Analysis of Endogenous OsIRO3 Expression in WT Plants and Fe Homeostasis Genes in iro3 Mutants and iro3-wt Plants

Quantitative RT-PCR analysis of endogenous OsIRO3 expression in rice (cv. Nipponbare) shoot and root tissues (as shown in Figure 1a) was performed as previously described [46]. Briefly, shoot and root tissues (excluding the crown) from three, 13-day old, wild-type rice seedlings were harvested at days 0, 4, 8, and 12 of exposure to either hydroponic Fe-sufficient (50 µM NaFe3+EDTA) or hydroponic Fe-deficient (0 µM NaFe3+EDTA) conditions and combined to represent one biological replicate. Total RNA was extracted from homogenized samples using TRIzol (Thermo Fisher, Carlsbad, CA, USA) and purified using the RNeasyⓇ Plant Minikit (Qiagen, Germantown, MD, USA) according to manufacturer’s specifications. Genomic DNA was removed using a DNAse I treatment kit (Promega, Madison, WI, USA) and reverse transcription was performed using a cDNA synthesis kit (Bioline, London, UK). Each biological replicate (10 ng µL−1 of cDNA) was analysed in triplicate and transcripts were quantified against a standard curve of three replicates of 10-fold serial dilutions (102–108) of purified template for each primer pair. The geometric mean expression of housekeeping genes: actin (OsACT1), elongation factor 1-delta 2 (OsELF1) and genevestigator gene 2 (OsP2) for shoot tissues and OsACT1, OsELF1 and elongation factor 1-alpha (OsEF-1a) for root tissues was used to normalize qRT-PCR expression data as previously described [47,48,49]. To measure the expression of Fe homeostasis genes in iro3 mutants and iro3-wt plants, qRT-PCR analysis on shoot tissues from three plants of each iro3-1, iro3-2, and iro3-wt replicate after eleven days of Fe sufficiency or Fe deficiency was performed as outlined above. The primer sequences used to measure endogenous OsIRO3 and Fe homeostasis gene expression are provided in Table S2.

4.6. Statistical Analysis

Statistically significant differences between iro3-1 and iro3-2 with iro3-wt were determined using a one-way ANOVA followed by the post hoc Tukey’s HSD test (5% level of significance) and calculated in Rstudio software (https://rstudio.com/ v3.6.3 accessed 11 August 2020). All graphs were generated using the ggplot2 software package in RStudio (https://ggplot2.tidyverse.org/ accessed 11 August 2020).

Supplementary Materials

The following are available online at https://www.mdpi.com/article/10.3390/ijms23031635/s1.

Author Contributions

O.C.-F., M.O. and A.A.T.J. conceptualised this project; M.O. generated the transformants; O.C.-F. isolated transgene free homozygous mutant and wild-type plants; O.C.-F. conducted experiments and analysis; O.C.-F. carried out the data curation and statistical analysis; O.C.-F. and J.T.B. generated the model of OsIRO3 function; O.C.-F. prepared the original draft; J.T.B. reviewed and edited the draft and was a major contributor to the final version of the manuscript; M.O. and A.A.T.J. provided additional reviews; A.A.T.J. acquired funding and resources; M.O., A.A.T.J. and J.T.B. provided supervision. All authors have read and agreed to the published version of the manuscript.

Funding

This research was supported by grants to A.A.T.J. from the Australian Research Council (LP130100785 and LP190100631) and HarvestPlus.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Data generated or analysed during this study are included in this published article (and its Supplementary Information files), and raw data is openly available in FigShare at https://doi.org/10.26188/15059406.

Acknowledgments

The authors would like to thank Fatima Naim for designing the guide RNA sequences, Ronan Broad and Ouda Khammy for molecular knowledge and intellectual advice, and Olivia Lockyear for technical assistance during the hydroponic experiments.

Conflicts of Interest

The authors declare no conflict of interest.

References

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Figure 1. Endogenous OsIRO3 expression and generation of loss of function OsIRO3 mutations in rice cv. Nipponbare: (a) quantitative reverse transcription-PCR (qRT-PCR) analysis of endogenous OsIRO3 gene expression under Fe-deficient (0 µM Fe, black line) and Fe-sufficient (50 µM Fe, white line) conditions in root and shoot tissues. Error bars indicate the standard error of the mean of three biological replicates (n = 3), each with three technical replicates of qRT-PCR. (b) Schematic representation of the T-DNA construct: LB, left border; pA, CaMV poly(A) signal; HptII, hygromycin phosphotranferase II; p35S, CaMV 35S; pOsU3, rice U3 promoter; tRNA, transfer RNA; gRNA, guide RNA; Cas9, human codon optimized Streptococcus pyogenes Cas9; nos, nopaline synthase terminator; RB, right border. The gRNA sequences (pink) and PAM motif (black) are enlarged. (c) Gene structure of OsIRO3 and target positions of gRNAs. The coding sequences (black boxes), introns (grey boxes), and untranslated regions (lines) of OsIRO3 are depicted with length (base pairs) provided. The mutations at gRNA1 and gRNA2 in exon 3 and exon 4 of OsIRO3, respectively, are provided for both iro3-1 and iro3-2 mutants. (d) Predicted amino acid sequences of wild-type (WT), iro3-1 and iro3-2 OsIRO3 proteins. Residues within the conserved bHLH domain (blue), predicted EAR motif (green) and novel residues resulting from mutations at gRNA 1 (red) are highlighted. Stop codons are indicated with an asterisk. (e) Reverse transcription-PCR analysis of OsIRO3 in 10 ng µL−1 of cDNA from WT, iro3-1 and iro3-2 young leaf tissues. Predicted protein structure of the OsIRO3 bHLH domain within (f) WT and (g) iro3 mutants. The red ribbon indicates novel residues resulting from mutations at gRNA 1.
Figure 1. Endogenous OsIRO3 expression and generation of loss of function OsIRO3 mutations in rice cv. Nipponbare: (a) quantitative reverse transcription-PCR (qRT-PCR) analysis of endogenous OsIRO3 gene expression under Fe-deficient (0 µM Fe, black line) and Fe-sufficient (50 µM Fe, white line) conditions in root and shoot tissues. Error bars indicate the standard error of the mean of three biological replicates (n = 3), each with three technical replicates of qRT-PCR. (b) Schematic representation of the T-DNA construct: LB, left border; pA, CaMV poly(A) signal; HptII, hygromycin phosphotranferase II; p35S, CaMV 35S; pOsU3, rice U3 promoter; tRNA, transfer RNA; gRNA, guide RNA; Cas9, human codon optimized Streptococcus pyogenes Cas9; nos, nopaline synthase terminator; RB, right border. The gRNA sequences (pink) and PAM motif (black) are enlarged. (c) Gene structure of OsIRO3 and target positions of gRNAs. The coding sequences (black boxes), introns (grey boxes), and untranslated regions (lines) of OsIRO3 are depicted with length (base pairs) provided. The mutations at gRNA1 and gRNA2 in exon 3 and exon 4 of OsIRO3, respectively, are provided for both iro3-1 and iro3-2 mutants. (d) Predicted amino acid sequences of wild-type (WT), iro3-1 and iro3-2 OsIRO3 proteins. Residues within the conserved bHLH domain (blue), predicted EAR motif (green) and novel residues resulting from mutations at gRNA 1 (red) are highlighted. Stop codons are indicated with an asterisk. (e) Reverse transcription-PCR analysis of OsIRO3 in 10 ng µL−1 of cDNA from WT, iro3-1 and iro3-2 young leaf tissues. Predicted protein structure of the OsIRO3 bHLH domain within (f) WT and (g) iro3 mutants. The red ribbon indicates novel residues resulting from mutations at gRNA 1.
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Figure 2. Phenotypic assessment of iro3-1, iro3-2 and iro3-wt plants: (a) representative iro3-1 (navy blue), iro3-2 (light blue) and iro3-wt (black) plants at day 10 of the Fe deficiency treatment. A dashed line is presented at a height of 40 cm. (b) Necrotic leaves of iro3-2 (left) and chlorotic leaves of iro3-wt (right). (c) SPAD of iro3-1, iro3-2 and iro3-wt youngest leaves at day 11 of Fe deficiency (0 µM Fe, light grey) or Fe sufficiency (50 µM Fe, dark grey) treatment. (d,e) Length (cm) and fresh weight (mg) of iro3-1, iro3-2 and iro3-wt roots and shoots under hydroponic Fe-deficient conditions. (f) Representative iro3-1, iro3-2 and iro3-wt plants following 7 days of alkalinity stress and a 5-day recovery period. A dashed line is presented at a height of 20 cm. (g,h) Length (cm) and fresh weight (mg) of iro3-1, iro3-2 and iro3-wt roots and shoots under hydroponic alkalinity stress conditions. Error bars indicate SEM of three biological replicates (n = 3) where each biological replicate is comprised of three representative plants. (i,j) Plant height (cm) and SPAD during the life cycle of iro3-1, iro3-2 and iro3-wt plants grown under nutrient-sufficient soil conditions. (k) Above ground biomass (g dry weight) of iro3-1, iro3-2 and iro3-wt plants at harvest under soil nutrient-sufficient conditions. Error bars indicate SEM of nine biological replicates (n = 9). Asterisks indicate significant differences between iro3-1 and iro3-2 with iro3-wt as determined by a one-way ANOVA (post hoc Tukey’s HSD test; * = p value ≤ 0.05; ** = p value ≤ 0.01; *** = p value ≤ 0.001).
Figure 2. Phenotypic assessment of iro3-1, iro3-2 and iro3-wt plants: (a) representative iro3-1 (navy blue), iro3-2 (light blue) and iro3-wt (black) plants at day 10 of the Fe deficiency treatment. A dashed line is presented at a height of 40 cm. (b) Necrotic leaves of iro3-2 (left) and chlorotic leaves of iro3-wt (right). (c) SPAD of iro3-1, iro3-2 and iro3-wt youngest leaves at day 11 of Fe deficiency (0 µM Fe, light grey) or Fe sufficiency (50 µM Fe, dark grey) treatment. (d,e) Length (cm) and fresh weight (mg) of iro3-1, iro3-2 and iro3-wt roots and shoots under hydroponic Fe-deficient conditions. (f) Representative iro3-1, iro3-2 and iro3-wt plants following 7 days of alkalinity stress and a 5-day recovery period. A dashed line is presented at a height of 20 cm. (g,h) Length (cm) and fresh weight (mg) of iro3-1, iro3-2 and iro3-wt roots and shoots under hydroponic alkalinity stress conditions. Error bars indicate SEM of three biological replicates (n = 3) where each biological replicate is comprised of three representative plants. (i,j) Plant height (cm) and SPAD during the life cycle of iro3-1, iro3-2 and iro3-wt plants grown under nutrient-sufficient soil conditions. (k) Above ground biomass (g dry weight) of iro3-1, iro3-2 and iro3-wt plants at harvest under soil nutrient-sufficient conditions. Error bars indicate SEM of nine biological replicates (n = 9). Asterisks indicate significant differences between iro3-1 and iro3-2 with iro3-wt as determined by a one-way ANOVA (post hoc Tukey’s HSD test; * = p value ≤ 0.05; ** = p value ≤ 0.01; *** = p value ≤ 0.001).
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Figure 3. Expression of Fe homeostasis genes in iro3-1, iro3-2 and iro3-wt shoot tissues under hydroponic conditions. The expression of (a) OsIRO3, (b) OsIRO2, (c) OsYSL15, (d) OsIRT1, (e) OsNAS1, (f) OsNAS2, (g) OsNAAT1, (h) OsNAS3 genes in iro3-1, iro3-2 and iro3-wt shoots following 11 days of Fe-deficient (0 µM Fe, light grey) or Fe-sufficient (50 µM Fe, dark grey) conditions. Error bars indicate SEM of three biological replicates (n = 3), where each biological replicate is comprised of three representative plants. Asterisks indicate significant differences between iro3-1 and iro3-2 with iro3-wt, as determined by a one-way ANOVA (post hoc Tukey’s HSD test; * = p value ≤ 0.05; ** = p value ≤ 0.01).
Figure 3. Expression of Fe homeostasis genes in iro3-1, iro3-2 and iro3-wt shoot tissues under hydroponic conditions. The expression of (a) OsIRO3, (b) OsIRO2, (c) OsYSL15, (d) OsIRT1, (e) OsNAS1, (f) OsNAS2, (g) OsNAAT1, (h) OsNAS3 genes in iro3-1, iro3-2 and iro3-wt shoots following 11 days of Fe-deficient (0 µM Fe, light grey) or Fe-sufficient (50 µM Fe, dark grey) conditions. Error bars indicate SEM of three biological replicates (n = 3), where each biological replicate is comprised of three representative plants. Asterisks indicate significant differences between iro3-1 and iro3-2 with iro3-wt, as determined by a one-way ANOVA (post hoc Tukey’s HSD test; * = p value ≤ 0.05; ** = p value ≤ 0.01).
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Figure 4. A model describing the role of OsIRO3 within the rice Fe homeostasis regulatory network. (a) the location of five gRNA target sites used by three independent studies to generate loss-of-function OsIRO3 rice mutants. (b) The effect of loss-of-function of OsIRO3 on increasing (green arrows) or decreasing (red arrows) physiological processes in rice shoots and roots under Fe-deficient (−Fe) and Fe-sufficient (+Fe) conditions. (c) The multi-functional role of OsIRO3 in rice shoots and roots under Fe-deficient (−Fe) and Fe-sufficient (+Fe) conditions. The process of translocating Fe (brown) from root to shoot tissues is indicated. (d) The proteins (rectangles) and genes (capsules) within the rice Fe homeostasis regulatory network, where the Fe homeostasis regulators (HRZ1/2, PRI1/2/3, IDEF1, IRO3, bHLH062 regulate the expression of downstream Fe homeostasis genes (NAS3, YSL15 and other gene targets). Direct (solid black line) and indirect (dashed black line) regulatory associations between transcription factors that either activate (arrow) or repress (blunt arrow) their targets are provided. The grey lines represent translation, and the blue line represents dimerization [24,25].
Figure 4. A model describing the role of OsIRO3 within the rice Fe homeostasis regulatory network. (a) the location of five gRNA target sites used by three independent studies to generate loss-of-function OsIRO3 rice mutants. (b) The effect of loss-of-function of OsIRO3 on increasing (green arrows) or decreasing (red arrows) physiological processes in rice shoots and roots under Fe-deficient (−Fe) and Fe-sufficient (+Fe) conditions. (c) The multi-functional role of OsIRO3 in rice shoots and roots under Fe-deficient (−Fe) and Fe-sufficient (+Fe) conditions. The process of translocating Fe (brown) from root to shoot tissues is indicated. (d) The proteins (rectangles) and genes (capsules) within the rice Fe homeostasis regulatory network, where the Fe homeostasis regulators (HRZ1/2, PRI1/2/3, IDEF1, IRO3, bHLH062 regulate the expression of downstream Fe homeostasis genes (NAS3, YSL15 and other gene targets). Direct (solid black line) and indirect (dashed black line) regulatory associations between transcription factors that either activate (arrow) or repress (blunt arrow) their targets are provided. The grey lines represent translation, and the blue line represents dimerization [24,25].
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Carey-Fung, O.; O’Brien, M.; Beasley, J.T.; Johnson, A.A.T. A Model to Incorporate the bHLH Transcription Factor OsIRO3 within the Rice Iron Homeostasis Regulatory Network. Int. J. Mol. Sci. 2022, 23, 1635. https://doi.org/10.3390/ijms23031635

AMA Style

Carey-Fung O, O’Brien M, Beasley JT, Johnson AAT. A Model to Incorporate the bHLH Transcription Factor OsIRO3 within the Rice Iron Homeostasis Regulatory Network. International Journal of Molecular Sciences. 2022; 23(3):1635. https://doi.org/10.3390/ijms23031635

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Carey-Fung, Oscar, Martin O’Brien, Jesse T. Beasley, and Alexander A. T. Johnson. 2022. "A Model to Incorporate the bHLH Transcription Factor OsIRO3 within the Rice Iron Homeostasis Regulatory Network" International Journal of Molecular Sciences 23, no. 3: 1635. https://doi.org/10.3390/ijms23031635

APA Style

Carey-Fung, O., O’Brien, M., Beasley, J. T., & Johnson, A. A. T. (2022). A Model to Incorporate the bHLH Transcription Factor OsIRO3 within the Rice Iron Homeostasis Regulatory Network. International Journal of Molecular Sciences, 23(3), 1635. https://doi.org/10.3390/ijms23031635

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