Characterisation of the nicotianamine aminotransferase and deoxymugineic acid synthase genes essential to Strategy II iron uptake in bread wheat (Triticum aestivum L.)

Jesse T. Beasley; Julien P. Bonneau; Alexander A. T. Johnson

doi:10.1371/journal.pone.0177061

Abstract

Iron (Fe) uptake in graminaceous plant species occurs via the release and uptake of Fe-chelating compounds known as mugineic acid family phytosiderophores (MAs). In the MAs biosynthetic pathway, nicotianamine aminotransferase (NAAT) and deoxymugineic acid synthase (DMAS) enzymes catalyse the formation of 2’-deoxymugineic acid (DMA) from nicotianamine (NA). Here we describe the identification and characterisation of six TaNAAT and three TaDMAS1 genes in bread wheat (Triticum aestivum L.). The coding sequences of all six TaNAAT homeologs consist of seven exons with ≥88.0% nucleotide sequence identity and most sequence variation present in the first exon. The coding sequences of the three TaDMAS1 homeologs consist of three exons with ≥97.8% nucleotide sequence identity. Phylogenetic analysis revealed that the TaNAAT and TaDMAS1 proteins are most closely related to the HvNAAT and HvDMAS1 proteins of barley and that there are two distinct groups of TaNAAT proteins—TaNAAT1 and TaNAAT2 –that correspond to the HvNAATA and HvNAATB proteins, respectively. Quantitative reverse transcription-PCR analysis revealed that the TaNAAT2 genes are expressed at highest levels in anther tissues whilst the TaNAAT1 and TaDMAS1 genes are expressed at highest levels in root tissues of bread wheat. Furthermore, the TaNAAT1, TaNAAT2 and TaDMAS1 genes were differentially regulated by plant Fe status and their expression was significantly upregulated in root tissues from day five onwards during a seven-day Fe deficiency treatment. The identification and characterization of the TaNAAT1, TaNAAT2 and TaDMAS1 genes provides a valuable genetic resource for improving bread wheat growth on Fe deficient soils and enhancing grain Fe nutrition.

Citation: Beasley JT, Bonneau JP, Johnson AAT (2017) Characterisation of the nicotianamine aminotransferase and deoxymugineic acid synthase genes essential to Strategy II iron uptake in bread wheat (Triticum aestivum L.). PLoS ONE 12(5): e0177061. https://doi.org/10.1371/journal.pone.0177061

Editor: Wujun Ma, Murdoch University, AUSTRALIA

Received: November 30, 2016; Accepted: April 23, 2017; Published: May 5, 2017

Copyright: © 2017 Beasley et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Data Availability: All relevant data are within the manuscript and its Supporting Information files.

Funding: This research was supported by grants from the Australian Research Council (http://www.arc.gov.au/grants; LP130100785) and the HarvestPlus Challenge Program (http://www.harvestplus.org) to AATJ. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Competing interests: The authors have declared that no competing interests exist.

Introduction

Graminaceous plant species acquire Fe from the rhizosphere through the release and uptake of Fe-chelating mugineic acid phytosiderophores (MAs), a process known as Strategy II Fe uptake. Despite the abundance of Fe in soils, its tendency to form insoluble ferric Fe [Fe(III)] precipitates under aerobic conditions at neutral (~7) pH levels often renders this essential micronutrient unavailable for uptake by living organisms [1]. Chelation of Fe(III) by MAs greatly increases metal solubility and enables uptake of Fe(III)-MAs complexes into plant roots. The quantity of MAs secreted by a graminaceous plant species correlates positively with the degree of tolerance to soils with low Fe bioavailability. For example, rice (Oryza sativa L.) and maize (Zea mays L.) secrete low amounts of MAs and grow poorly in Fe limiting environments such as calcareous soil with pH > 8 [2, 3]. By contrast, barley (Hordeum vulgare L.) and wheat (Triticum aestivum L.) secrete large amounts of MAs and demonstrate greatly increased tolerance to Fe limiting soils [2]. Barley secretes a range of MA species including mugineic acid (MA), 3-epihydroxymugineic acid (epiHMA), 3-epihydroxy-2’-deoxymugineic acid (epiHDMA) and 2’-deoxymugineic acid (DMA) whereas bread wheat only secretes DMA [4–6].

Synthesis of DMA occurs from nicotianamine (NA) via a 3”-oxo intermediate using nicotianamine aminotransferase (NAAT) and deoxymugineic acid synthase (DMAS) enzymes. While NA is biosynthesized in all plant species, the transamination of NA by NAAT is a reaction unique to graminaceous plants and one that represents the first step towards strategy II Fe uptake [7]. Aminotransferase enzymes similar to NAAT, such as tyrosine aminotransferase (TAT), are active in non-graminaceous plant species and function in the biosynthesis of compounds such as rosmarinic acid and benzylisoquinoline alkaloids that are not involved in plant Fe uptake [8, 9]. Reduction of the 3”-oxo intermediate produced by NAAT is catalysed by DMAS, an enzyme belonging to the large enzyme superfamily of aldo-keto reductases [10].

The genes encoding NAAT and DMAS enzymes have been characterised in several graminaceous monocots including rice and barley [11–13]. Rice has six NAAT genes that comprise the OsNAAT gene family and one member, OsNAAT1, shows highest expression levels in root tissues and significant upregulation in response to Fe deficiency [12, 14]. Expression of the other five OsNAAT genes does not change in response to Fe deficiency and the function(s) of these genes remains unknown [12]. Barley contains two NAAT genes, HvNAATA and HvNAATB, both of which show ≥74% sequence homology to the rice OsNAAT1 gene [12, 13, 15]. As with the rice gene OsNAAT1, expression of the HvNAAT genes is root-specific and upregulated in response to Fe deficiency [13]. The OsDMAS1 and HvDMAS1 genes are responsible for DMA biosynthesis in rice and barley, respectively [11]. Expression of the HvDMAS1 gene is induced in barley root tissues exposed to Fe deficient conditions [16]. By contrast, expression of OsDMAS1 is specific to rice root tissues under conditions of Fe sufficiency and is induced in both root and shoot tissues under Fe deficiency. These expression patterns indicate that DMA plays important roles in maintaining Fe homeostasis within graminaceous plant tissues in addition to its role in acquiring Fe from soil [11].

Wheat accounts for over 30% of global cereal production and is cultivated on more land than any other crop [17]. When grown under conditions of Fe deficiency, wheat plants exhibit leaf chlorosis and a reduction in yield [18, 19]. Given that an estimated 500 million hectares of the world’s soils are alkaline, novel strategies to increase wheat tolerance to Fe deficiency are needed to maximize production on these soil types [17]. As a consequence of the large differences in genomic complexity between rice (diploid, 2n = 24), barley (diploid, 2n = 14) and bread wheat (hexaploid, 2n = 6x = 42), many gene families that are well characterized in rice and barley have not been reported in bread wheat. The recent identification of 21 nicotianamine synthase (NAS) genes in bread wheat, the largest NAS gene family reported to date, highlights the genomic complexity of Fe homeostasis genes in polyploid cereal species such as wheat [20]. Although partial sequences of several NAAT and DMAS genes have been identified in bread wheat, a comprehensive characterization of these gene families has not been performed [11, 16]. Recent biochemical studies identifying NA and/or DMA as the predominant chelators of Fe in wheat white flour indicate that full characterization of these gene families could enable genetic strategies to improve Fe nutrition of this staple food [21, 22]. In this paper we describe the bread wheat TaNAAT (orthologous to OsNAAT1, HvNAATA and HvNAATB) and TaDMAS1 (orthologous to OsDMAS1 and HvDMAS1) gene families in terms of chromosomal location, phylogenetic relationship and expression in various tissues as well as under conditions of Fe deficiency. The results greatly expand our knowledge of Strategy II Fe uptake genetics in bread wheat and could lead to the development of wheat cultivars with enhanced tolerance to Fe limiting environments as well as improved grain Fe nutrition.

Results and discussion

Six TaNAAT genes are located on chromosomal group 1 and three TaDMAS1 genes are located on chromosomal group 4

Six TaNAAT and three TaDMAS1 genes were identified within the bread wheat genome (Table 1). The three TaNAAT1 genes and the three TaNAAT2 genes are located on chromosomal group 1 and the three TaDMAS1 genes are located on chromosomal group 4. All nine of the genes are located on the long arm of their respective chromosomal groups with the exception of TaDMAS1-A which is located on the short arm of chromosome 4A due to a known pericentric inversion between the long and short chromosome arms [23]. The TaNAAT1, TaNAAT2 and TaDMAS1 genes share a syntenic relationship with the orthologous barley HvNAATA, HvNAATB and HvDMAS1 genes that are located on barley chromosomes 1H and 4H, respectively [24].

Download:

Table 1. The TaNAAT1, TaNAAT2 and TaDMAS genes of bread wheat.

https://doi.org/10.1371/journal.pone.0177061.t001

The genomic sequences of the six TaNAAT genes range in size from 3000–3900 bp due to differences in intron length as well as length of the first exon (Fig 1). The coding sequences of the six TaNAAT genes are comprised of seven exons and range from 1380–1491 bp for the three TaNAAT1 genes and 1440–1545 bp for the three TaNAAT2 genes. By comparison, the coding sequences of the orthologous HvNAATA and HvNAATB genes in barley are 1386 bp and 1653 bp in length, respectively [13]. Variation in size of the TaNAAT coding sequences is due solely to variable length of the first exon; the lengths of the remaining six exons are identical across all six TaNAAT genes (Fig 1). The nucleotide sequence identity between the coding sequences of the three TaNAAT1 genes and the three TaNAAT2 genes is ≥88.8% with the first exon and ≥95.7% without the first exon (S1 Table). Variability in TaNAAT gene coding sequences between cultivars Gladius and Chinese Spring was only detected for the TaNAAT1 and TaNAAT2 genes located on subgenome B. The coding sequence of the TaNAAT1-B gene in cv. Gladius was found to be 30 bp shorter than that of cv. Chinese Spring due to a deletion in the first exon. Additionally, 10 single nucleotide polymorphisms (SNPs) were detected in the TaNAAT2-B coding sequences between the two cultivars. The detection of significant sequence length variation between homeologous members of the TaNAAT1 and TaNAAT2 gene families supports the hypothesis of an accelerated evolution of homeologous genes in the polyploid bread wheat genome as a result of genetic redundancy and therefore greater tolerance for sequence alterations [25]. Variability in first exon sequence length between the homeologous genes may in fact represent early stages of gene sub-functionalization and neo-functionalization in the TaNAAT genes [26]. Despite the sequence length variation, expression of all six TaNAAT genes was detected in both cDNA libraries utilized in this study with similar spatial and temporal expression patterns between the three TaNAAT1 genes and the three TaNAAT2 genes. The genomic sequences of the three TaDMAS1 genes range in size from 1770–1830 bp due to variable intron sequence length (Fig 1). The coding sequences of the three TaDMAS1 genes, in contrast to the six TaNAAT genes, do not vary in size and are comprised of three exons totalling 945 bp and share ≥97.8% nucleotide sequence identity (S2 Table). The open reading frame of the orthologous HvDMAS1 gene in barley is also 945 bp in length [11].

Download:

Fig 1. Sequence structure and length of the TaNAAT1, TaNAAT2 and TaDMAS1 genes in bread wheat cv. Gladius.

The figure shows exons and introns within the TaNAAT1, TaNAAT2 and TaDMAS1 genes depicted in black and grey, respectively. Exon and intron length (bp) is indicated in red and black, respectively. Variation in sequence length was observed in most intronic regions and in the first exon for each of the TaNAAT genes.

https://doi.org/10.1371/journal.pone.0177061.g001

The amino acid sequences of the six TaNAAT and three TaDMAS1 proteins contain conserved residues that are characteristic of their enzyme superfamilies (Fig 2). All TaNAAT proteins contain a Lys residue (K393) thought to be critical for pyridoxal phosphate binding and enzyme activation [13]. In addition, the six TaNAAT proteins contain between three and six repeated SNGH amino acid motifs in the N terminal region (Fig 2A). Repeated SNGH amino acid residues of unknown function have also been identified in the two NAAT proteins of barley, suggesting that these sequences are a characteristic feature of NAAT proteins belonging to the Triticeae species [13]. The TaNAAT1-B protein sequence contains one less SNGH repeat in cv. Gladius compared to cv. Chinese Spring, and this difference between the two cultivars provides an opportunity to assess essentiality of the SNGH motif to NAAT protein function in future studies. All three TaDMAS1 proteins contain putative nicotinamide adenine dinucleotide phosphate (NADPH) binding residues that are also present in rice and barley DMAS proteins [11] (Fig 2B).

Download:

Fig 2. Amino acid alignment of the NAAT and DMAS1 proteins of rice (Os), barley (Hv), maize (Zm) and wheat (Ta) identifies conserved regions and motifs.

(A) Blue shading corresponds to residues critical to aminotransferase function. The SNGH repeats in the N terminal region of NAAT proteins are shaded in orange (S = serine, N = asparagine, G = glycine and H = histidine). (B) Green shading corresponds to residues within the nicotinamide adenine dinucleotide phosphate (NADPH) binding domain of DMAS1 proteins.

https://doi.org/10.1371/journal.pone.0177061.g002

The TaNAAT and TaDMAS1 proteins share a common origin with HvNAAT and HvDMAS1 proteins

Phylogenetic analyses of the NAAT and DMAS protein sequences from rice, maize, barley and wheat revealed that the wheat TaNAAT and TaDMAS1 proteins are most similar to those of barley (Fig 3). All TaNAAT proteins in bread wheat grouped with the barley HvNAATA and HvNAATB proteins (bootstrap proportion of 100%) and separately from the NAAT proteins of rice and maize (Fig 3A). The six TaNAAT and two HvNAAT proteins separated into two subgroups based on a bootstrap proportion of 91.6% for TaNAAT1/HvNAATA and 87.7% for TaNAAT2/HvNAATB (Fig 3A). It was originally hypothesised that the barley HvNAATA and HvNAATB proteins were isozymes encoded by one NAAT gene in barley [15]. However, the presence of two NAAT subgroups in wheat and barley indicates that in fact a NAAT gene duplication event occurred in the diploid wheat-barley ancestor after the divergence of these two species from other graminaceous monocots. Phylogenetic analysis of the DMAS1 protein sequences of rice, barley, maize and wheat produced a similar relationship, with the HvDMAS1 and TaDMAS1 proteins grouping separately from the DMAS1 proteins of rice and maize (Fig 3B).

Download:

Fig 3. Phylogenetic trees of the NAAT and DMAS1 proteins of wheat, rice, barley and maize demonstrate that the wheat and barley proteins group separately from those of rice and maize.

Unrooted phylogenetic trees of (A) NAAT proteins from wheat (TaNAAT), rice (OsNAAT), maize (ZmNAAT), and barley (HvNAAT) and (B) DMAS1 proteins from wheat (TaDMAS1), rice (OsDMAS1), maize (ZmDMAS1), and barley (HvDMAS1). The scale bar represents evolutionary distance in substitutions per base and the numbers reflect bootstrap percentage.

https://doi.org/10.1371/journal.pone.0177061.g003

The TaNAAT1 and TaNAAT2 genes are highly expressed in root and anther tissues while the TaDMAS1 genes are broadly expressed across different tissues and developmental stages

Quantitative reverse transcription-PCR analysis of a range of bread wheat tissues and developmental stages of cv. Chinese Spring revealed distinctive expression profiles in root and anther tissues for the TaNAAT1, TaNAAT2 and TaDMAS1 genes (Fig 4A–4C). Expression levels were highest for the TaNAAT1 homeolog found on subgenome B (TaNAAT1-B), the TaNAAT2 homeolog found on subgenome A (TaNAAT2-A) and the TaDMAS1 homeolog found on subgenome A (TaDMAS1-A). These expression trends were observed in both the Chinese Spring and Gladius cultivars utilized in this study (S1 Fig). Similar differential expression of homeologous genes has been documented in response to heat, drought and pathogen stresses in bread wheat [27–29].

Download:

Fig 4. Relative expression of the TaNAAT1, TaNAAT2 and TaDMAS1 genes in 10 different tissues and developmental stages of bread wheat cv. Chinese Spring.

Relative expression of (A) TaNAAT1, (B) TaNAAT2 and (C) TaDMAS1 genes is provided in: (1) mesocotyl and (2) embryonic root; (3) seedling root, (4) crown and (5) seedling leaf; (6) mature bracts, (7) anthers and (8) pistil; (9) caryopsis—3/5 DAP and (10) embryo—22 DAP. Units of the y-axis indicate copies of mRNA per μl of cDNA. Error bars indicate standard deviation of the mean of three technical replicates derived from a bulk of 3 biological replicates.

https://doi.org/10.1371/journal.pone.0177061.g004

Expression of the three TaNAAT1 genes was approximately 100-fold lower than that of the TaNAAT2 and TaDMAS1 homeologs and most TaNAAT1 gene expression was detected in root tissues at the embryonic and seedling stages as well as in the caryopsis (Fig 4A). Expression of the three TaNAAT2 genes was approximately 100 to 250-fold higher in the anthers relative to all other organs examined (Fig 4B). In addition to anthers, the three TaNAAT2 genes were also highly expressed in root tissues at the embryonic and seedling stage. Both groups of TaNAAT homeologous genes had low levels of expression in the mesocotyl, crown, leaf, bracts and pistil tissues (Fig 4A and 4B). By contrast, the three TaDMAS1 genes were expressed at higher levels than both groups of TaNAAT1 and TaNAAT2 genes and across all tissue types (with the exception of the very high TaNAAT2 expression levels in anthers). The three TaDMAS1 genes were most highly expressed in embryonic mesocotyl and root tissues, seedling root tissues and in the anther (Fig 4C).

These results indicate that DMA plays critical roles during germination and early seedling growth stages of bread wheat by enabling Fe uptake from the rhizosphere and maintaining metal homeostasis. Furthermore, the detection of high TaDMAS1 gene expression across many different tissue types and developmental stages of bread wheat suggests that DMA participates in long distance transport and grain loading of metal micronutrients; roles that have also been identified for DMA in rice [11, 21, 22, 30]. The finding that the three TaNAAT2 genes were most highly expressed in anther tissues is an interesting result that has not been reported for other NAAT genes (Fig 4B). Interestingly, our search of the Affymetrix 22K Barley1 GeneChip showed that the barley orthologue of the three TaNAAT2 homeologs, HvNAATB, also has highest expression levels in anther tissue [31–33]. A specific member of the NAS gene family of bread wheat, TaNAS7-A2, was recently reported to have 100-fold higher expression levels in anther tissue relative to all other wheat tissues examined [20]. Taken together, these results suggest that high activity of the NA and DMA biosynthetic pathway is required for proper anther development in bread wheat and barley. Previous studies in Arabidopsis, tobacco and rice have also identified NA and DMA as having critical roles in pollen function, anther development and reproduction [7, 34, 35].

Analysis of the 1kb promoter region of the TaNAAT1 and TaNAAT2 genes revealed variable positioning of the TATA-box (S2 Fig). Furthermore, multiple cis-acting regulatory elements that are known to confer pollen- and anther-specific expression in rice, tomato (Solanum lycopersicum) and tobacco were located in close proximity to, and downstream of, the TaNAAT2 TATA-box [36–40]. These elements may contribute to the high level of TaNAAT2 gene expression that we observed within the anther tissues of bread wheat. Interestingly, the TaDMAS1 genes did not contain a TATA-box within the 1kb promoter region suggesting that these genes may be TATA-less (S2 Fig).

Expression levels of the TaNAAT1, TaNAAT2 and TaDMAS1 genes are temporally regulated in wheat roots to enable rapid DMA biosynthesis in response to Fe deficiency and avoid NA depletion

The TaNAAT1, TaNAAT2 and TaDMAS1 genes showed significantly up-regulated expression in root tissues at day 5 of the Fe deficiency treatment (Fig 5A–5C). In barley, a similar increase in expression of the HvNAAT and HvDMAS1 genes occurs in response to Fe deficiency [11, 13, 41]. In the shoot tissues, only the TaNAAT2 genes showed a small increase in expression in response to Fe deficiency (Fig 5B), indicating that bread wheat (like barley) responds to Fe deficiency by increasing DMA biosynthesis predominately in root tissues. By contrast, the OsNAAT1 and OsDMAS1 genes of rice are significantly up-regulated in both root and shoot tissues in response to Fe deficiency [11, 12]. The 1kb promoter regions of the TaNAAT1, TaNAAT2 and TaDMAS1 genes all contain the cis-acting regulatory elements IDE1 and IDE2-like (S2 Fig). These elements have been identified in the promoters of several iron deficiency-responsive genes in Arabidopsis, rice and barley and likely contribute to the observed induction of TaNAAT1, TaNAAT2 and TaDMAS1 gene expression in root tissues of bread wheat under Fe deficiency [42].

Download:

Fig 5. Relative expression of the TaNAAT1, TaNAAT2 and TaDMAS1 genes in shoot and root tissues of bread wheat cv. Gladius under iron-sufficient/deficient conditions.

Averaged relative expression of the (A) TaNAAT1, (B) TaNAAT2 and (C) TaDMAS1 genes is presented at four time points of the 7 day treatment: days 0 (experiment start), 1, 5 and 7 of Fe-sufficient (+Fe, solid line) or Fe-deficient (-Fe, dashed line) conditions. Units of the y-axis indicate copies of mRNA per μl of cDNA. The error bars indicate standard error of the mean of three biological replicates for each of three genes (n = 9). Asterisks indicate significant differences for the effect of condition (+Fe and −Fe) at each time point (two-sample Student’s t-test assuming equal variance; * = p value ≤0.05; ** = p value ≤0.01; *** = p value ≤0.001).

https://doi.org/10.1371/journal.pone.0177061.g005

Expression levels of all but one of the six TaNAAT genes decreased from day 5 onwards in bread wheat root tissues in response to Fe deficiency (Fig 5A and 5B). Only a single TaNAAT gene, TaNAAT2-A, remained significantly up-regulated (p ≤ 0.05) at day 7 (S1 Fig). By contrast, all three of the TaDMAS1 genes were significantly up-regulated at days 5 and 7 in root tissues under Fe deficiency (Fig 5C). These results suggest that root-specific induction of TaNAAT1 and TaNAAT2 gene expression occurs early in the bread wheat Fe deficiency response to provide adequate amounts of the 3”-oxo intermediate substrate for DMA biosynthesis by TaDMAS1 enzymes (Fig 5A–5C). Subsequent down-regulation of most of the TaNAAT genes from day 5 onwards likely helps the plant to avoid depletion of internal NA reserves.

It is worth mentioning that DMA secretion increases not only under Fe deficiency, but also Zn deficiency, in wheat, barley and rice [43–46]. In future studies it could be useful to investigate expression of the TaNAAT1, TaNAAT2 and TaDMAS1 genes in response to Zn deficiency to determine if similar temporal regulation of the genes exists under this condition.

The TaNAAT1 and TaNAAT2 genes function in different aspects of Fe homeostasis

Under conditions of Fe deficiency, the three TaNAAT1 genes were expressed at higher levels than the three TaNAAT2 genes in root tissues (Fig 5 and S1 Fig). Under conditions of Fe sufficiency, however, the three TaNAAT2 genes were expressed at higher levels than the three TaNAAT1 genes across a broad range of bread wheat tissues including very high expression levels in anthers (Fig 4A and 4B). These results suggest that the three TaNAAT1 genes are mainly responsible for increased root DMA biosynthesis in response to low Fe availability while the three TaNAAT2 genes play an important role in maintaining DMA biosynthesis in a wide range of organs under Fe sufficiency. The barley orthologues of the bread wheat TaNAAT1 and TaNAAT2 genes, HvNAATA and HvNAATB, respectively, show similar differences in expression pattern and apparent function. Induction of the HvNAATA gene is greater than that of HvNAATB in barley root tissues under conditions of Fe deficiency [13, 15]. The HvNAATA enzyme has also been shown to have greater affinity for NA compared to the HvNAATB enzyme, an important factor under conditions of Fe deficiency where NA levels are lowered and a fact that likely explains the preferential induction of the HvNAATA gene under Fe deficiency [15]. By contrast, the HvNAATB gene is expressed in barley leaf tissues during senescence-related Fe remobilisation as well as in grain transfer cells; HvNAATA expression is undetectable in both of these tissue types [47, 48].

Applications to plant breeding

The identification and characterization of the TaNAAT1, TaNAAT2 and TaDMAS1 genes of bread wheat provides a novel genetic resource for improving bread wheat growth and nutrition via conventional breeding and biotechnology. Examination of allelic diversity in the TaNAAT1, TaNAAT2 and TaDMAS1 genes in future work could lead to the identification of novel gene variants with agronomically useful expression patterns. Ectopic expression of barley HvNAAT genes in rice using endogenous promoters resulted in transgenic rice plants with 1.8-fold increased DMA secretion under Fe deficient growth conditions and a 4-fold increase in yield [49]. Similar strategies to alter the expression of the TaNAAT1 or TaDMAS1 genes, or the identification of novel variants with altered expression levels, could increase the growth and yield of bread wheat on alkaline soils where Fe and other micronutrient metals are highly limiting. Alternatively, endosperm-specific overexpression of specific TaNAAT2 or TaDMAS1 genes that are highly expressed in anther tissues could increase grain Fe storage capacity and lead to the production of biofortified wheat varieties with higher grain Fe contents. Finally, the results of this study demonstrate that the TaNAAT1, TaNAAT2 and TaDMAS1 genes are similar in both sequence and expression pattern to orthologous genes in barley and that these gene families may be evolving to take on unique roles in the hexaploid bread wheat genome.

Materials and methods

Identification of TaNAAT1, TaNAAT2 and TaDMAS1 genes

The coding sequences of HvNAATA, HvNAATB and HvDMAS1 genes (S3 Table) were used as BLAST queries against the International Wheat Genome Sequencing Consortium (IWGSC) databases (IWGSC, 2014—http://www.wheatgenome.org) to identify sequences encoding putative TaNAAT1, TaNAAT2 and TaDMAS1 genes. The 1kb promoter regions were also identified for the TaNAAT1-A (contig_3507095), TaNAAT1-D (contig_2269183), TaNAAT2-A (contig_3876687), TaNAAT2-D (contig_2204013), TaDMAS1-A (contig_6010427), TaDMAS1-B (contig_7035734) and TaDMAS1-D (contig_14416645) genes. Matching sequences from the IWGSC databases were then annotated using FGENESH (http://www.softberry.com) software [50]. For the TaNAAT1-B, TaNAAT1-D, TaNAAT2-A, TaNAAT2-B and TaNAAT2-D genes which did not return full genomic sequences from IWGSC, we further searched the Triticum aestivum cv. Chinese Spring 5x genome database (http://www.cerealsdb.uk.net) as well as databases containing whole-genome assemblies of Triticum durum (AABB), Triticum monococcum (AA) and Aegilops tauschii (DD) (https://wheat-urgi.versailles.inra.fr/Seq-Repository/Assemblies). These results were used to assemble in silico full genomic sequences for TaNAAT1, TaNAAT2 and TaDMAS1 genes within cv. Chinese Spring. Each TaNAAT1 (TaNAAT1-A/TaNAAT1-B/TaNAAT1-D) TaNAAT2 (TaNAAT2-A/TaNAAT2-B/TaNAAT2-D) and TaDMAS1 (TaDMAS1-A/TaDMAS1-B/TaDMAS1-D) gene was named according to homeologous grouping and subgenome localisation using the recommended rules for gene symbolisation in bread wheat (http://wheat.pw.usda.gov/ggpages/wgc/98/Intro.htm). Homeologous groups were defined on the basis of an empirical nucleotide identity threshold of ≥88.8% between coding sequences of individual genes (S1 and S2 Tables). The classification of the TaDMAS1-A gene took into account the known pericentromeric inversion of wheat chromosome 4AS-4AL [23].

Predictions of coding sequences (CDS) and protein sequences were obtained for each of the TaNAAT1, TaNAAT2 and TaDMAS1 genes using the gene prediction software FGENESH. The coding sequences of all TaNAAT1, TaNAAT2 and TaDMAS1 genes were then validated using BLASTN searches to the TGACv1 genome assembly (http://pre.plants.ensembl.org/Triticum_aestivum/Info/Index), all of which returned a single TGAC scaffold with ≥99% identity. Annotation of cis-acting elements within the 1kb promoter regions of the TaNAAT and TaDMAS1 genes included: PB Core (CCAC), the enhancer elements LAT52 (TGTGG) and LAT56 (TGTGA), the pollen-specific enhancer element LAT52 (AGAAA), and the g10 late pollen gene element (GTGA) [36–40]. The cis-acting IDE1 (ATCAAGCATGCTTCTTGC) and IDE2-like (TTGAACGGCAAGTTTCACGCTGTCACT) elements were identified as previously described with a minimum of 51% sequence identity [51]. Alignment of CDS (CLUSTALW) and protein sequences (ClustalW with cost matrix BLOSUM, gap open cost 10), and annotation of 1kb promoter regions, was performed in Geneious Pro 8.1.7 software (Biomatters, http://www.geneious.com).

Sequencing of the TaNAAT1, TaNAAT2 and TaDMAS1 genes

A combination of 3–5 pairs of primers were used for complete coverage of TaNAAT1, TaNAAT2 and TaDMAS1 genomic sequences in cvs. Chinese Spring and Gladius (Table 1). Subgenome specificity of primer pairs was verified using cv. Chinese Spring nulli-tetrasomic DNA [52]. All PCR reactions were performed in a total volume of 20 μl using MyTaq^™ HS DNA polymerase (Bioline, Boston, MA, USA) according to the manufacturer instructions. Amplification products were sequenced by Sanger sequencing at the Australian Genome Research Facility Ltd (http://www.agrf.org.au). All primer pairs amplified PCR products of expected length from both cvs. Gladius and Chinese Spring.

Phylogenetic analyses

Phylogenetic analyses of the TaNAAT1/TaNAAT2 and TaDMAS1 protein sequences were conducted using PhyML algorithms (Geneious plugins) developed by [53]. An LG substitution model with four categories of distribution and 1000 bootstraps was performed on the aligned protein sequences respectively in Geneious Pro 8.1.7 software [54]. An empirical bootstrap proportion of branch topology ≥70% was considered indicative that the corresponding group was real with a probability ≥95 [55]. Published NAAT and DMAS1 protein sequences rice, barley and maize (S3 Table) were included in the phylogenetic analyses. A second putative NAAT protein in maize, ZmNAAT2, was identified following a BLAST analysis of OsNAAT1 amino acid sequence against the maize genome database (http://www.maizegdb.org/).

Construction of cDNA libraries

Total RNA was extracted from 10 different tissues of bread wheat cv. Chinese Spring, the reference genome of the IWGSC, harvested at several stages of development including germination, seedling and maturity as described in [56]. Tissues were pooled from 7–10 plants per biological sample. Three independent biological samples were combined for each bulk of cDNA. The 10 cDNA tissue bulks used in our study were: mesocotyl and embryonic root (2 day old embryos); seedling root, crown and leaf collected 10–12 days after sowing (DAS); bracts, anthers, pistil (prior to anthesis); caryopsis and embryo collected 5 and 22 days after pollination (DAP) respectively.

Total RNA was extracted from root and shoot tissues of bread wheat cv. Gladius, a high-yielding Australian cultivar, as described in [20]. In brief, wheat seedlings were grown in full nutrient hydroponic solution for three weeks and then grown for an additional week in either Fe deficient or full nutrient solution. Tissue was harvested for RNA extraction at four time points (days 0, 1, 5 and 7 of the Fe deficient and control conditions) and cDNA was synthesized from three independent biological samples at each time point.

Quantitative reverse transcription-PCR (qRT-PCR) analysis of TaNAAT1, TaNAAT2 and TaDMAS1 genes

Subgenome-specific qRT-PCR primer pairs were designed for each of the TaNAAT1, TaNAAT2 and TaDMAS1 genes using predicted CDS sequences and Primer3 software (Table 2) [57]. The specificity of each primer pair was confirmed through analysis of melt-curve and sequencing data. Primer efficiency was ≥97.83% for all primer pairs used in qRT-PCR analysis and was calculated using the formula 10^(-1/m) -1, where m corresponds to the slope of the standard curve generated using triplicate ten-fold serial dilutions (101–10⁷) of purified template for each primer pair. Optimisation of primer annealing temperature and efficiency as well as qRT-PCR analysis was performed at the Australian Centre for Plant Functional Genomics (ACPFG) Adelaide, Australia.

Download:

Table 2. Quantitative reverse transcription analysis of the TaNAAT1, TaNAAT2 and TaDMAS1 genes.

https://doi.org/10.1371/journal.pone.0177061.t002

A three gene normalisation factor (3GNF) of house-keeping genes: cyclophilin (TaCyc), actin (TaActin) and elongation factor 1-alpha (TaEFA) for cv. Chinese Spring and TaCyc, TaActin and glyceraldehyde 3-phosphate dehydrogenase (TaGAPDH) for cv. Gladius was used to normalise qRT-PCR expression data as previously described [56, 58]. Expression data of cv. Gladius was normalised independently for shoot and root tissues (S3 Fig). A 3GNF for each of the 10 cv. Chinese Spring tissues was generated using a global standardisation factor (SF). The SF was calculated according to the following formula: where SF = standardisation factor, gm = geometric mean of expression of 3 housekeeping genes within each tissue analysed and n = number of tissues analysed.

Statistical analyses

Statistically significant differences in cv. Gladius cDNA expression levels were determined by Student’s t-test comparing the effect of treatment (+Fe and −Fe) at each time point (days 0, 1, 5 and 7) using Minitab 17.0 software (https://www.minitab.com/en-us/). Significant differences in expression levels were determined using Tukey’s test (p ≤0.05).

Supporting information

S1 Fig. Relative expression of the TaNAAT1, TaNAAT2 and TaDMAS1 genes in shoot and root tissues of bread wheat cv. Gladius under iron-sufficient/deficient conditions.

Relative expression of all (A) TaNAAT1, (B) TaNAAT2 and (C) TaDMAS1 genes is presented at four time points of the 7 day treatment: days 0 (experiment start), 1, 5 and 7 of Fe-sufficient (+Fe, solid line) or Fe-deficient (-Fe, dashed line) conditions. Units of the y-axis indicate copies of mRNA per μl of cDNA. The error bars indicate standard error of the mean of three biological replicates for each of three genes (n = 9). Asterisks indicate significant differences for the effect of condition (+Fe and −Fe) at each time point (two-sample Student’s t-test assuming equal variance; * = p value ≤0.05; ** = p value ≤0.01; *** = p value ≤0.001).

https://doi.org/10.1371/journal.pone.0177061.s001

(DOCX)

S2 Fig. Annotation of cis-acting elements within the 1kb promoter regions of the TaNAAT1, TaNAAT2 and TaDMAS1 genes.

Bold numbers indicate upstream positions of the TATA-box and the IDE1 and IDE2-like elements. Positions of the TaNAAT2-A and TaNAAT2-D TATA-box were validated using a wheat EST (GenBank: CA677231.1).

https://doi.org/10.1371/journal.pone.0177061.s002

(DOCX)

S3 Fig. Expression of three housekeeping genes in bread wheat shoot and root tissues prior to normalization.

The expression of TaActin (black), TaGAPDH (grey) and TaCyclophilin (white) genes in bread wheat cv. Gladius (A) shoot and (B) root tissues. Tissue was harvested across 4 time points corresponding to days 0 (experiment start), 1, 5 and 7 from plants grown under Fe sufficient (+Fe, solid line) or Fe deficient (-Fe, dashed line) conditions. Units of the y-axis indicate copies of mRNA per μl of cDNA. The error bars indicate standard deviation of the mean of three technical replicates.

https://doi.org/10.1371/journal.pone.0177061.s003

(DOCX)

S1 Table. Percentage of sequence identity between the TaNAAT genes and proteins in bread wheat.

The nucleotide identity of TaNAAT full coding sequences, first exon and exons 2–7 and amino acid identity for the TaNAAT full protein sequences are provided.

https://doi.org/10.1371/journal.pone.0177061.s004

(DOCX)

S2 Table. Percentage of sequence identity between the TaDMAS1 genes and proteins in bread wheat.

The nucleotide identity of TaDMAS1 full coding sequences and amino acid identity for the TaDMAS full protein sequences are provided.

https://doi.org/10.1371/journal.pone.0177061.s005

(DOCX)

S3 Table. The rice, barley and maize proteins used in protein sequence and phylogenetic analyses.

The gene name utilised in the manuscript and the corresponding accessions numbers from [11–13] are provided.

https://doi.org/10.1371/journal.pone.0177061.s006

(DOCX)

S4 Table. Expression data of the TaNAAT1, TaNAAT2 and TaDMAS1 genes in 10 different tissues and developmental stages of bread wheat cv. Chinese Spring.

https://doi.org/10.1371/journal.pone.0177061.s007

(XLSX)

S5 Table. Expression data of the TaNAAT1, TaNAAT2 and TaDMAS1 genes in shoot and root tissues of bread wheat cv. Gladius under iron-sufficient/deficient conditions.

https://doi.org/10.1371/journal.pone.0177061.s008

(XLSX)

Acknowledgments

The authors would like to thank Yuan Li for technical assistance in the qRT-PCR analyses and Margaret Pallotta for providing wheat cv. Chinese Spring nulli-tetrasomic DNA used in this study.

Author Contributions

Conceptualization: JTB JPB AATJ.
Data curation: JTB JPB.
Formal analysis: JTB JPB.
Funding acquisition: AATJ.
Investigation: JTB JPB.
Methodology: JPB.
Project administration: JPB AATJ.
Supervision: AATJ.
Visualization: JTB JPB.
Writing – original draft: JTB JPB AATJ.
Writing – review & editing: JTB JPB AATJ.

References

1. Guerinot ML, Yi Y (1994) Iron: Nutritious, Noxious, and Not Readily Available. Plant Physiol 104:815–820 pmid:12232127
- View Article
- PubMed/NCBI
- Google Scholar
2. Romheld V, Marschner H (1990) Genotypical differences among graminaceous species in release of phytosiderophores and uptake of iron phytosiderophores. Plant Soil 123:147–153
- View Article
- Google Scholar
3. Takagi S, Nomoto K, Takemoto T (1986) Physiological aspect of mugineic acid, a possible phytosiderophore of graminaceous plants. J Plant Nutr 7:469–477
- View Article
- Google Scholar
4. Nozoye T, Inoue H, Takahashi M, Ishimaru Y, Nakanishi H, Mori S, et al (2007) The expression of iron homeostasis-related genes during rice germination. Plant Mol Biol 64:35–47 pmid:17333504
- View Article
- PubMed/NCBI
- Google Scholar
5. Jian Feng Ma, Shinada T, Matsuda C, Nomoto K (1995) Biosynthesis of phytosiderophores, mugineic acids, associated with methionine cycling. J Biol Chem 270:16549–16554 pmid:7622460
- View Article
- PubMed/NCBI
- Google Scholar
6. Feng Ma J, Taketa S, Chang Y-C, Takeda K, Matsumoto H (1999) Biosynthesis of phytosiderophores in several Triticeae species with different genomes. J Exp Bot 50:723–726
- View Article
- Google Scholar
7. Takahashi M, Terada Y, Nakai I, Nakanishi H, Yoshimura E, Mori S, et al (2003) Role of nicotianamine in the intracellular delivery of metals and plant reproductive development. Plant Cell 15:1263–80 pmid:12782722
- View Article
- PubMed/NCBI
- Google Scholar
8. Liu X, Shangguan Y, Zhu J, Lu Y, Han B (2013) The rice OsLTP6 gene promoter directs anther-specific expression by a combination of positive and negative regulatory elements. Planta 238:845–857 pmid:23907515
- View Article
- PubMed/NCBI
- Google Scholar
9. Riewe D, Koohi M, Lisec J, Pfeiffer M, Lippmann R, Schmeichel J, et al (2012) A tyrosine aminotransferase involved in tocopherol synthesis in Arabidopsis. Plant J 71:850–9 pmid:22540282
- View Article
- PubMed/NCBI
- Google Scholar
10. Sengupta D, Naik D, Reddy AR (2015) Plant aldo-keto reductases (AKRs) as multi-tasking soldiers involved in diverse plant metabolic processes and stress defense: A structure-function update. J Plant Physiol 179:40–55 pmid:25840343
- View Article
- PubMed/NCBI
- Google Scholar
11. Bashir K, Inoue H, Nagasaka S, Takahashi M, Nakanishi H, Mori S, et al (2006) Cloning and characterization of deoxymugineic acid synthase genes from graminaceous plants. J Biol Chem 281:32395–402 pmid:16926158
- View Article
- PubMed/NCBI
- Google Scholar
12. Inoue H, Takahashi M, Kobayashi T, Suzuki M, Nakanishi H, Mori S, et al (2008) Identification and localisation of the rice nicotianamine aminotransferase gene OsNAAT1 expression suggests the site of phytosiderophore synthesis in rice. Plant Mol Biol 66:193–203 pmid:18034312
- View Article
- PubMed/NCBI
- Google Scholar
13. Takahashi M, Yamaguchi H, Nakanishi H, Shioiri T, Nishizawa NK, Mori S (1999) Cloning two genes for nicotianamine aminotransferase, a critical enzyme in iron acquisition (Strategy II) in graminaceous plants. Plant Physiol 121:947–56 pmid:10557244
- View Article
- PubMed/NCBI
- Google Scholar
14. Cheng L, Wang F, Shou H, Huang F, Zheng L, He F, et al (2007) Mutation in nicotianamine aminotransferase stimulated the Fe(II) acquisition system and led to iron accumulation in rice. Plant Physiol 145:1647–57 pmid:17951455
- View Article
- PubMed/NCBI
- Google Scholar
15. Kanazawa K, Higuchi K, Nishizawa N-K, Fushiya S, Mori S (1995) Detection of two distinct isozymes of nicotianamine aminotransferase in Fe-deficient barley roots. J Exp Bot 46:1241–1244
- View Article
- Google Scholar
16. Pearce SS, Tabbita F, Cantu D, Buffalo V, Avni R, Vazquez-Gross H, et al (2014) Regulation of Zn and Fe transporters by the GPC1gene during early wheat monocarpic senescence. BMC Plant Biol 14:368 pmid:25524236
- View Article
- PubMed/NCBI
- Google Scholar
17. FAOSTAT. http://faostat3.fao.org/home/E.
18. Hansen NC, Jolley VD, Berg WA, Hodges ME, Krenzer EG (1996) Phytosiderophore Release Related to Susceptibility of Wheat to Iron Deficiency. Crop Sci 36:1473
- View Article
- Google Scholar
19. Mortvedt JJ (1991) Correcting iron deficiencies in annual and perennial plants: Present technologies and future prospects. Plant Soil 130:273–279
- View Article
- Google Scholar
20. Bonneau J, Baumann U, Beasley J, Li Y, Johnson AAT (2016) Identification and molecular characterization of the nicotianamine synthase gene family in bread wheat. Plant Biotechnol J.
- View Article
- Google Scholar
21. Eagling T, Wawer AA, Shewry PR, Zhao F-J, Fairweather-Tait SJ (2014) Iron Bioavailability in Two Commercial Cultivars of Wheat: Comparison between Wholegrain and White Flour and the Effects of Nicotianamine and 2′-Deoxymugineic Acid on Iron Uptake into Caco-2 Cells. J Agric Food Chem 62:10320–10325 pmid:25275535
- View Article
- PubMed/NCBI
- Google Scholar
22. Eagling T, Neal AL, McGrath SP, Fairweather-Tait S, Shewry PR, Zhao F-J (2014) Distribution and Speciation of Iron and Zinc in Grain of Two Wheat Genotypes. J Agric Food Chem 62:708–716 pmid:24382168
- View Article
- PubMed/NCBI
- Google Scholar
23. Liu CJ, Atkinson MD, Chinoy CN, Devos KM, Gale MD (1992) Nonhomoeologous translocations between group 4, 5 and 7 chromosomes within wheat and rye. Theor Appl Genet 83:305–312 pmid:24202512
- View Article
- PubMed/NCBI
- Google Scholar
24. International Barley Genome Sequencing Consortium, Mayer KFX, Waugh R, Brown JWS, Schulman A, Langridge P, et al (2012) A physical, genetic and functional sequence assembly of the barley genome. Nature 491:711–6 pmid:23075845
- View Article
- PubMed/NCBI
- Google Scholar
25. Akhunov ED, Sehgal S, Liang H, Wang S, Akhunova AR, Kaur G, et al (2013) Comparative analysis of syntenic genes in grass genomes reveals accelerated rates of gene structure and coding sequence evolution in polyploid wheat. Plant Physiol 161:252–65 pmid:23124323
- View Article
- PubMed/NCBI
- Google Scholar
26. Bartoš J, Vlček Č, Choulet F, Džunková M, Cviková K, Šafář J, et al (2012) Intraspecific sequence comparisons reveal similar rates of non-collinear gene insertion in the B and D genomes of bread wheat. BMC Plant Biol 12:155 pmid:22935214
- View Article
- PubMed/NCBI
- Google Scholar
27. Leach LLJ, Belfield EJE, Jiang C, Brown C, Mithani A, Harberd NNP, et al (2014) Patterns of homoeologous gene expression shown by RNA sequencing in hexaploid bread wheat. BMC Genomics 15:276 pmid:24726045
- View Article
- PubMed/NCBI
- Google Scholar
28. Liu Z, Xin M, Qin J, Peng H, Ni Z, Yao Y, et al (2015) Temporal transcriptome profiling reveals expression partitioning of homeologous genes contributing to heat and drought acclimation in wheat (Triticum aestivum L.). BMC Plant Biol 15:152 pmid:26092253
- View Article
- PubMed/NCBI
- Google Scholar
29. Nussbaumer T, Warth B, Sharma S, Ametz C, Bueschl C, Parich A, et al (2015) Joint Transcriptomic and Metabolomic Analyses Reveal Changes in the Primary Metabolism and Imbalances in the Subgenome Orchestration in the Bread Wheat Molecular Response to Fusarium graminearum. G3 (Bethesda) 5:2579–92
- View Article
- Google Scholar
30. Nishiyama R, Kato M, Nagata S, Yanagisawa S, Yoneyama T (2012) Identification of Zn-nicotianamine and Fe-2’-Deoxymugineic acid in the phloem sap from rice plants (Oryza sativa L.). Plant Cell Physiol 53:381–90 pmid:22218421
- View Article
- PubMed/NCBI
- Google Scholar
31. Close TJ, Wanamaker SI, Caldo RA, Turner SM, Ashlock DA, Dickerson JA, et al (2004) A new resource for cereal genomics: 22K barley GeneChip comes of age. Plant Physiol 134:960–8 pmid:15020760
- View Article
- PubMed/NCBI
- Google Scholar
32. Dash S, Van Hemert J, Hong L, Wise RP, Dickerson JA (2012) PLEXdb: gene expression resources for plants and plant pathogens. Nucleic Acids Res 40:D1194–201 pmid:22084198
- View Article
- PubMed/NCBI
- Google Scholar
33. Druka A, Muehlbauer G, Druka I, Caldo R, Baumann U, Rostoks N, et al (2006) An atlas of gene expression from seed to seed through barley development. Funct Integr Genomics 6:202–11 pmid:16547597
- View Article
- PubMed/NCBI
- Google Scholar
34. Aoyama T, Kobayashi T, Takahashi M, Nagasaka S, Usuda K, Kakei Y, et al (2009) OsYSL18 is a rice iron(III)-deoxymugineic acid transporter specifically expressed in reproductive organs and phloem of lamina joints. Plant Mol Biol 70:681–92 pmid:19468840
- View Article
- PubMed/NCBI
- Google Scholar
35. Roschzttardtz H, Conéjéro G, Divol F, Alcon C, Verdeil J-L, Curie C, et al (2013) New insights into Fe localization in plant tissues. Front Plant Sci 4:350 pmid:24046774
- View Article
- PubMed/NCBI
- Google Scholar
36. Twell D, Yamaguchi J, Wing RA, Ushiba J, McCormick S (1991) Promoter analysis of genes that are coordinately expressed during pollen development reveals pollen-specific enhancer sequences and shared regulatory elements. Genes Dev 5:496–507 pmid:1840556
- View Article
- PubMed/NCBI
- Google Scholar
37. Bate N, Twell D (1998) Functional architecture of a late pollen promoter: Pollen-specific transcription is developmentally regulated by multiple stage-specific and co-dependent activator elements. Plant Mol Biol 37:859–869 pmid:9678581
- View Article
- PubMed/NCBI
- Google Scholar
38. Swapna L, Khurana R, Vijaya Kumar S, Tyagi AK, Rao K V. (2011) Pollen-specific expression of Oryza sativa indica pollen allergen gene (OSIPA) promoter in rice and arabidopsis transgenic systems. Mol Biotechnol 48:49–59 pmid:21061188
- View Article
- PubMed/NCBI
- Google Scholar
39. Park JI, Hakozaki H, Endo M, Takada Y, Ito H, Uchida M, et al (2006) Molecular characterization of mature pollen-specific genes encoding novel small cysteine-rich proteins in rice (Oryza sativa L.). Plant Cell Rep 25:466–474 pmid:16397782
- View Article
- PubMed/NCBI
- Google Scholar
40. Manimaran P, Raghurami Reddy M, Bhaskar Rao T, Mangrauthia SK, Sundaram RM, Balachandran SM (2015) Identification of cis-elements and evaluation of upstream regulatory region of a rice anther-specific gene, OSIPP3, conferring pollen-specific expression in Oryza sativa (L.) ssp. indica. Plant Reprod 28:133–142 pmid:26081459
- View Article
- PubMed/NCBI
- Google Scholar
41. Nagasaka S, Takahashi M, Nakanishi-Itai R, Bashir K, Nakanishi H, Mori S, et al (2009) Time course analysis of gene expression over 24 hours in Fe-deficient barley roots. Plant Mol Biol 69:621–31 pmid:19089316
- View Article
- PubMed/NCBI
- Google Scholar
42. Kobayashi T, Nakayama Y, Itai RN, Nakanishi H, Yoshihara T, Mori S, et al (2003) Identification of novel cis-acting elements, IDE1 and IDE2, of the barley IDS2 gene promoter conferring iron-deficiency-inducible, root-specific expression in heterogeneous tobacco plants. Plant J 36:780–793 pmid:14675444
- View Article
- PubMed/NCBI
- Google Scholar
43. Suzuki M, Takahashi M, Tsukamoto T, Watanabe S, Matsuhashi S, Yazaki J, et al (2006) Biosynthesis and secretion of mugineic acid family phytosiderophores in zinc-deficient barley. Plant J 48:85–97 pmid:16972867
- View Article
- PubMed/NCBI
- Google Scholar
44. Suzuki M, Tsukamoto T, Inoue H, Watanabe S, Matsuhashi S, Takahashi M, et al (2008) Deoxymugineic acid increases Zn translocation in Zn-deficient rice plants. Plant Mol Biol 66:609–617 pmid:18224446
- View Article
- PubMed/NCBI
- Google Scholar
45. Widodo JA, Broadley MR, Rose T, Frei M, Pariasca-Tanaka J, Yoshihashi T, et al (2010) Response to zinc deficiency of two rice lines with contrasting tolerance is determined by root growth maintenance and organic acid exudation rates, and not by zinc-transporter activity. New Phytol 186:400–414 pmid:20100202
- View Article
- PubMed/NCBI
- Google Scholar
46. Daneshbakhsh B, Khoshgoftarmanesh AH, Shariatmadari H, Cakmak I (2013) Phytosiderophore release by wheat genotypes differing in zinc deficiency tolerance grown with Zn-free nutrient solution as affected by salinity. J Plant Physiol 170:41–46 pmid:23122914
- View Article
- PubMed/NCBI
- Google Scholar
47. Tauris B, Borg S, Gregersen PL, Holm PB (2009) A roadmap for zinc trafficking in the developing barley grain based on laser capture microdissection and gene expression profiling. J Exp Bot 60:1333–47 pmid:19297552
- View Article
- PubMed/NCBI
- Google Scholar
48. Shi R, Weber G, Köster J, Reza-Hajirezaei M, Zou C, Zhang F, et al (2012) Senescence-induced iron mobilization in source leaves of barley (Hordeum vulgare) plants. New Phytol 195:372–83 pmid:22591276
- View Article
- PubMed/NCBI
- Google Scholar
49. Takahashi M, Nakanishi H, Kawasaki S, Nishizawa NK, Mori S (2001) Enhanced tolerance of rice to low iron availability in alkaline soils using barley nicotianamine aminotransferase genes. Nat Biotechnol 19:466–9 pmid:11329018
- View Article
- PubMed/NCBI
- Google Scholar
50. Solovyev VV, Kosarev P, Seledsov I, Vorobyev D, Collins F, Green E, et al (2006) Automatic annotation of eukaryotic genes, pseudogenes and promoters. Genome Biol 7:S10 pmid:16925832
- View Article
- PubMed/NCBI
- Google Scholar
51. Kobayashi T, Suzuki M, Inoue H, Itai RN, Takahashi M, Nakanishi H, et al (2005) Expression of iron-acquisition-related genes in iron-deficient rice is co-ordinately induced by partially conserved iron-deficiency-responsive elements. J Exp Bot 56:1305–1316 pmid:15781441
- View Article
- PubMed/NCBI
- Google Scholar
52. Sears E. (1954) The aneuploids of common wheat. Agric. Exp. Stn. Res. Bull. 572:
- View Article
- Google Scholar
53. Guindon S, Dufayard JF, Lefort V, Anisimova M, Hordijk W, Gascuel O (2010) New Algorithms and Methods to Estimate Maximum-Likelihood Phylogenies: Assessing the Performance of PhyML 3.0. Syst Biol 59:307–321 pmid:20525638
- View Article
- PubMed/NCBI
- Google Scholar
54. Le SQ, Gascuel O (2008) An improved general amino acid replacement matrix. Mol Biol Evol 25:1307–20 pmid:18367465
- View Article
- PubMed/NCBI
- Google Scholar
55. Hillis DM, Bull JJ (1993) An Empirical Test of Bootstrapping as a Method for Assessing Confidence in Phylogenetic Analysis. Syst Biol 42:182–192
- View Article
- Google Scholar
56. Schreiber AW, Sutton T, Caldo RAR, Kalashyan E, Lovell B, Mayo G, et al (2009) Comparative transcriptomics in the Triticeae. BMC Genomics 10:285 pmid:19558723
- View Article
- PubMed/NCBI
- Google Scholar
57. Untergasser A, Cutcutache I, Koressaar T, Ye J, Faircloth BC, Remm M, et al (2012) Primer3—new capabilities and interfaces. Nucleic Acids Res 40:e115 pmid:22730293
- View Article
- PubMed/NCBI
- Google Scholar
58. Vandesompele J, De Preter K, Pattyn F, Poppe B, Van Roy N, De Paepe A, et al (2002) Accurate normalization of real-time quantitative RT-PCR data by geometric averaging of multiple internal control genes. Genome Biol 3:research0034.1
- View Article
- Google Scholar

[ref1] 1. Guerinot ML, Yi Y (1994) Iron: Nutritious, Noxious, and Not Readily Available. Plant Physiol 104:815–820 pmid:12232127
View Article
PubMed/NCBI
Google Scholar

[2] View Article

[3] PubMed/NCBI

[4] Google Scholar

[ref2] 2. Romheld V, Marschner H (1990) Genotypical differences among graminaceous species in release of phytosiderophores and uptake of iron phytosiderophores. Plant Soil 123:147–153
View Article
Google Scholar

[6] View Article

[7] Google Scholar

[ref3] 3. Takagi S, Nomoto K, Takemoto T (1986) Physiological aspect of mugineic acid, a possible phytosiderophore of graminaceous plants. J Plant Nutr 7:469–477
View Article
Google Scholar

[9] View Article

[10] Google Scholar

[ref4] 4. Nozoye T, Inoue H, Takahashi M, Ishimaru Y, Nakanishi H, Mori S, et al (2007) The expression of iron homeostasis-related genes during rice germination. Plant Mol Biol 64:35–47 pmid:17333504
View Article
PubMed/NCBI
Google Scholar

[12] View Article

[13] PubMed/NCBI

[14] Google Scholar

[ref5] 5. Jian Feng Ma, Shinada T, Matsuda C, Nomoto K (1995) Biosynthesis of phytosiderophores, mugineic acids, associated with methionine cycling. J Biol Chem 270:16549–16554 pmid:7622460
View Article
PubMed/NCBI
Google Scholar

[16] View Article

[17] PubMed/NCBI

[18] Google Scholar

[ref6] 6. Feng Ma J, Taketa S, Chang Y-C, Takeda K, Matsumoto H (1999) Biosynthesis of phytosiderophores in several Triticeae species with different genomes. J Exp Bot 50:723–726
View Article
Google Scholar

[20] View Article

[21] Google Scholar

[ref7] 7. Takahashi M, Terada Y, Nakai I, Nakanishi H, Yoshimura E, Mori S, et al (2003) Role of nicotianamine in the intracellular delivery of metals and plant reproductive development. Plant Cell 15:1263–80 pmid:12782722
View Article
PubMed/NCBI
Google Scholar

[23] View Article

[24] PubMed/NCBI

[25] Google Scholar

[ref8] 8. Liu X, Shangguan Y, Zhu J, Lu Y, Han B (2013) The rice OsLTP6 gene promoter directs anther-specific expression by a combination of positive and negative regulatory elements. Planta 238:845–857 pmid:23907515
View Article
PubMed/NCBI
Google Scholar

[27] View Article

[28] PubMed/NCBI

[29] Google Scholar

[ref9] 9. Riewe D, Koohi M, Lisec J, Pfeiffer M, Lippmann R, Schmeichel J, et al (2012) A tyrosine aminotransferase involved in tocopherol synthesis in Arabidopsis. Plant J 71:850–9 pmid:22540282
View Article
PubMed/NCBI
Google Scholar

[31] View Article

[32] PubMed/NCBI

[33] Google Scholar

[ref10] 10. Sengupta D, Naik D, Reddy AR (2015) Plant aldo-keto reductases (AKRs) as multi-tasking soldiers involved in diverse plant metabolic processes and stress defense: A structure-function update. J Plant Physiol 179:40–55 pmid:25840343
View Article
PubMed/NCBI
Google Scholar

[35] View Article

[36] PubMed/NCBI

[37] Google Scholar

[ref11] 11. Bashir K, Inoue H, Nagasaka S, Takahashi M, Nakanishi H, Mori S, et al (2006) Cloning and characterization of deoxymugineic acid synthase genes from graminaceous plants. J Biol Chem 281:32395–402 pmid:16926158
View Article
PubMed/NCBI
Google Scholar

[39] View Article

[40] PubMed/NCBI

[41] Google Scholar

[ref12] 12. Inoue H, Takahashi M, Kobayashi T, Suzuki M, Nakanishi H, Mori S, et al (2008) Identification and localisation of the rice nicotianamine aminotransferase gene OsNAAT1 expression suggests the site of phytosiderophore synthesis in rice. Plant Mol Biol 66:193–203 pmid:18034312
View Article
PubMed/NCBI
Google Scholar

[43] View Article

[44] PubMed/NCBI

[45] Google Scholar

[ref13] 13. Takahashi M, Yamaguchi H, Nakanishi H, Shioiri T, Nishizawa NK, Mori S (1999) Cloning two genes for nicotianamine aminotransferase, a critical enzyme in iron acquisition (Strategy II) in graminaceous plants. Plant Physiol 121:947–56 pmid:10557244
View Article
PubMed/NCBI
Google Scholar

[47] View Article

[48] PubMed/NCBI

[49] Google Scholar

[ref14] 14. Cheng L, Wang F, Shou H, Huang F, Zheng L, He F, et al (2007) Mutation in nicotianamine aminotransferase stimulated the Fe(II) acquisition system and led to iron accumulation in rice. Plant Physiol 145:1647–57 pmid:17951455
View Article
PubMed/NCBI
Google Scholar

[51] View Article

[52] PubMed/NCBI

[53] Google Scholar

[ref15] 15. Kanazawa K, Higuchi K, Nishizawa N-K, Fushiya S, Mori S (1995) Detection of two distinct isozymes of nicotianamine aminotransferase in Fe-deficient barley roots. J Exp Bot 46:1241–1244
View Article
Google Scholar

[55] View Article

[56] Google Scholar

[ref16] 16. Pearce SS, Tabbita F, Cantu D, Buffalo V, Avni R, Vazquez-Gross H, et al (2014) Regulation of Zn and Fe transporters by the GPC1gene during early wheat monocarpic senescence. BMC Plant Biol 14:368 pmid:25524236
View Article
PubMed/NCBI
Google Scholar

[58] View Article

[59] PubMed/NCBI

[60] Google Scholar

[ref17] 17. FAOSTAT. http://faostat3.fao.org/home/E.

[ref18] 18. Hansen NC, Jolley VD, Berg WA, Hodges ME, Krenzer EG (1996) Phytosiderophore Release Related to Susceptibility of Wheat to Iron Deficiency. Crop Sci 36:1473
View Article
Google Scholar

[63] View Article

[64] Google Scholar

[ref19] 19. Mortvedt JJ (1991) Correcting iron deficiencies in annual and perennial plants: Present technologies and future prospects. Plant Soil 130:273–279
View Article
Google Scholar

[66] View Article

[67] Google Scholar

[ref20] 20. Bonneau J, Baumann U, Beasley J, Li Y, Johnson AAT (2016) Identification and molecular characterization of the nicotianamine synthase gene family in bread wheat. Plant Biotechnol J.
View Article
Google Scholar

[69] View Article

[70] Google Scholar

[ref21] 21. Eagling T, Wawer AA, Shewry PR, Zhao F-J, Fairweather-Tait SJ (2014) Iron Bioavailability in Two Commercial Cultivars of Wheat: Comparison between Wholegrain and White Flour and the Effects of Nicotianamine and 2′-Deoxymugineic Acid on Iron Uptake into Caco-2 Cells. J Agric Food Chem 62:10320–10325 pmid:25275535
View Article
PubMed/NCBI
Google Scholar

[72] View Article

[73] PubMed/NCBI

[74] Google Scholar

[ref22] 22. Eagling T, Neal AL, McGrath SP, Fairweather-Tait S, Shewry PR, Zhao F-J (2014) Distribution and Speciation of Iron and Zinc in Grain of Two Wheat Genotypes. J Agric Food Chem 62:708–716 pmid:24382168
View Article
PubMed/NCBI
Google Scholar

[76] View Article

[77] PubMed/NCBI

[78] Google Scholar

[ref23] 23. Liu CJ, Atkinson MD, Chinoy CN, Devos KM, Gale MD (1992) Nonhomoeologous translocations between group 4, 5 and 7 chromosomes within wheat and rye. Theor Appl Genet 83:305–312 pmid:24202512
View Article
PubMed/NCBI
Google Scholar

[80] View Article

[81] PubMed/NCBI

[82] Google Scholar

[ref24] 24. International Barley Genome Sequencing Consortium, Mayer KFX, Waugh R, Brown JWS, Schulman A, Langridge P, et al (2012) A physical, genetic and functional sequence assembly of the barley genome. Nature 491:711–6 pmid:23075845
View Article
PubMed/NCBI
Google Scholar

[84] View Article

[85] PubMed/NCBI

[86] Google Scholar

[ref25] 25. Akhunov ED, Sehgal S, Liang H, Wang S, Akhunova AR, Kaur G, et al (2013) Comparative analysis of syntenic genes in grass genomes reveals accelerated rates of gene structure and coding sequence evolution in polyploid wheat. Plant Physiol 161:252–65 pmid:23124323
View Article
PubMed/NCBI
Google Scholar

[88] View Article

[89] PubMed/NCBI

[90] Google Scholar

[ref26] 26. Bartoš J, Vlček Č, Choulet F, Džunková M, Cviková K, Šafář J, et al (2012) Intraspecific sequence comparisons reveal similar rates of non-collinear gene insertion in the B and D genomes of bread wheat. BMC Plant Biol 12:155 pmid:22935214
View Article
PubMed/NCBI
Google Scholar

[92] View Article

[93] PubMed/NCBI

[94] Google Scholar

[ref27] 27. Leach LLJ, Belfield EJE, Jiang C, Brown C, Mithani A, Harberd NNP, et al (2014) Patterns of homoeologous gene expression shown by RNA sequencing in hexaploid bread wheat. BMC Genomics 15:276 pmid:24726045
View Article
PubMed/NCBI
Google Scholar

[96] View Article

[97] PubMed/NCBI

[98] Google Scholar

[ref28] 28. Liu Z, Xin M, Qin J, Peng H, Ni Z, Yao Y, et al (2015) Temporal transcriptome profiling reveals expression partitioning of homeologous genes contributing to heat and drought acclimation in wheat (Triticum aestivum L.). BMC Plant Biol 15:152 pmid:26092253
View Article
PubMed/NCBI
Google Scholar

[100] View Article

[101] PubMed/NCBI

[102] Google Scholar

[ref29] 29. Nussbaumer T, Warth B, Sharma S, Ametz C, Bueschl C, Parich A, et al (2015) Joint Transcriptomic and Metabolomic Analyses Reveal Changes in the Primary Metabolism and Imbalances in the Subgenome Orchestration in the Bread Wheat Molecular Response to Fusarium graminearum. G3 (Bethesda) 5:2579–92
View Article
Google Scholar

[104] View Article

[105] Google Scholar

[ref30] 30. Nishiyama R, Kato M, Nagata S, Yanagisawa S, Yoneyama T (2012) Identification of Zn-nicotianamine and Fe-2’-Deoxymugineic acid in the phloem sap from rice plants (Oryza sativa L.). Plant Cell Physiol 53:381–90 pmid:22218421
View Article
PubMed/NCBI
Google Scholar

[107] View Article

[108] PubMed/NCBI

[109] Google Scholar

[ref31] 31. Close TJ, Wanamaker SI, Caldo RA, Turner SM, Ashlock DA, Dickerson JA, et al (2004) A new resource for cereal genomics: 22K barley GeneChip comes of age. Plant Physiol 134:960–8 pmid:15020760
View Article
PubMed/NCBI
Google Scholar

[111] View Article

[112] PubMed/NCBI

[113] Google Scholar

[ref32] 32. Dash S, Van Hemert J, Hong L, Wise RP, Dickerson JA (2012) PLEXdb: gene expression resources for plants and plant pathogens. Nucleic Acids Res 40:D1194–201 pmid:22084198
View Article
PubMed/NCBI
Google Scholar

[115] View Article

[116] PubMed/NCBI

[117] Google Scholar

[ref33] 33. Druka A, Muehlbauer G, Druka I, Caldo R, Baumann U, Rostoks N, et al (2006) An atlas of gene expression from seed to seed through barley development. Funct Integr Genomics 6:202–11 pmid:16547597
View Article
PubMed/NCBI
Google Scholar

[119] View Article

[120] PubMed/NCBI

[121] Google Scholar

[ref34] 34. Aoyama T, Kobayashi T, Takahashi M, Nagasaka S, Usuda K, Kakei Y, et al (2009) OsYSL18 is a rice iron(III)-deoxymugineic acid transporter specifically expressed in reproductive organs and phloem of lamina joints. Plant Mol Biol 70:681–92 pmid:19468840
View Article
PubMed/NCBI
Google Scholar

[123] View Article

[124] PubMed/NCBI

[125] Google Scholar

[ref35] 35. Roschzttardtz H, Conéjéro G, Divol F, Alcon C, Verdeil J-L, Curie C, et al (2013) New insights into Fe localization in plant tissues. Front Plant Sci 4:350 pmid:24046774
View Article
PubMed/NCBI
Google Scholar

[127] View Article

[128] PubMed/NCBI

[129] Google Scholar

[ref36] 36. Twell D, Yamaguchi J, Wing RA, Ushiba J, McCormick S (1991) Promoter analysis of genes that are coordinately expressed during pollen development reveals pollen-specific enhancer sequences and shared regulatory elements. Genes Dev 5:496–507 pmid:1840556
View Article
PubMed/NCBI
Google Scholar

[131] View Article

[132] PubMed/NCBI

[133] Google Scholar

[ref37] 37. Bate N, Twell D (1998) Functional architecture of a late pollen promoter: Pollen-specific transcription is developmentally regulated by multiple stage-specific and co-dependent activator elements. Plant Mol Biol 37:859–869 pmid:9678581
View Article
PubMed/NCBI
Google Scholar

[135] View Article

[136] PubMed/NCBI

[137] Google Scholar

[ref38] 38. Swapna L, Khurana R, Vijaya Kumar S, Tyagi AK, Rao K V. (2011) Pollen-specific expression of Oryza sativa indica pollen allergen gene (OSIPA) promoter in rice and arabidopsis transgenic systems. Mol Biotechnol 48:49–59 pmid:21061188
View Article
PubMed/NCBI
Google Scholar

[139] View Article

[140] PubMed/NCBI

[141] Google Scholar

[ref39] 39. Park JI, Hakozaki H, Endo M, Takada Y, Ito H, Uchida M, et al (2006) Molecular characterization of mature pollen-specific genes encoding novel small cysteine-rich proteins in rice (Oryza sativa L.). Plant Cell Rep 25:466–474 pmid:16397782
View Article
PubMed/NCBI
Google Scholar

[143] View Article

[144] PubMed/NCBI

[145] Google Scholar

[ref40] 40. Manimaran P, Raghurami Reddy M, Bhaskar Rao T, Mangrauthia SK, Sundaram RM, Balachandran SM (2015) Identification of cis-elements and evaluation of upstream regulatory region of a rice anther-specific gene, OSIPP3, conferring pollen-specific expression in Oryza sativa (L.) ssp. indica. Plant Reprod 28:133–142 pmid:26081459
View Article
PubMed/NCBI
Google Scholar

[147] View Article

[148] PubMed/NCBI

[149] Google Scholar

[ref41] 41. Nagasaka S, Takahashi M, Nakanishi-Itai R, Bashir K, Nakanishi H, Mori S, et al (2009) Time course analysis of gene expression over 24 hours in Fe-deficient barley roots. Plant Mol Biol 69:621–31 pmid:19089316
View Article
PubMed/NCBI
Google Scholar

[151] View Article

[152] PubMed/NCBI

[153] Google Scholar

[ref42] 42. Kobayashi T, Nakayama Y, Itai RN, Nakanishi H, Yoshihara T, Mori S, et al (2003) Identification of novel cis-acting elements, IDE1 and IDE2, of the barley IDS2 gene promoter conferring iron-deficiency-inducible, root-specific expression in heterogeneous tobacco plants. Plant J 36:780–793 pmid:14675444
View Article
PubMed/NCBI
Google Scholar

[155] View Article

[156] PubMed/NCBI

[157] Google Scholar

[ref43] 43. Suzuki M, Takahashi M, Tsukamoto T, Watanabe S, Matsuhashi S, Yazaki J, et al (2006) Biosynthesis and secretion of mugineic acid family phytosiderophores in zinc-deficient barley. Plant J 48:85–97 pmid:16972867
View Article
PubMed/NCBI
Google Scholar

[159] View Article

[160] PubMed/NCBI

[161] Google Scholar

[ref44] 44. Suzuki M, Tsukamoto T, Inoue H, Watanabe S, Matsuhashi S, Takahashi M, et al (2008) Deoxymugineic acid increases Zn translocation in Zn-deficient rice plants. Plant Mol Biol 66:609–617 pmid:18224446
View Article
PubMed/NCBI
Google Scholar

[163] View Article

[164] PubMed/NCBI

[165] Google Scholar

[ref45] 45. Widodo JA, Broadley MR, Rose T, Frei M, Pariasca-Tanaka J, Yoshihashi T, et al (2010) Response to zinc deficiency of two rice lines with contrasting tolerance is determined by root growth maintenance and organic acid exudation rates, and not by zinc-transporter activity. New Phytol 186:400–414 pmid:20100202
View Article
PubMed/NCBI
Google Scholar

[167] View Article

[168] PubMed/NCBI

[169] Google Scholar

[ref46] 46. Daneshbakhsh B, Khoshgoftarmanesh AH, Shariatmadari H, Cakmak I (2013) Phytosiderophore release by wheat genotypes differing in zinc deficiency tolerance grown with Zn-free nutrient solution as affected by salinity. J Plant Physiol 170:41–46 pmid:23122914
View Article
PubMed/NCBI
Google Scholar

[171] View Article

[172] PubMed/NCBI

[173] Google Scholar

[ref47] 47. Tauris B, Borg S, Gregersen PL, Holm PB (2009) A roadmap for zinc trafficking in the developing barley grain based on laser capture microdissection and gene expression profiling. J Exp Bot 60:1333–47 pmid:19297552
View Article
PubMed/NCBI
Google Scholar

[175] View Article

[176] PubMed/NCBI

[177] Google Scholar

[ref48] 48. Shi R, Weber G, Köster J, Reza-Hajirezaei M, Zou C, Zhang F, et al (2012) Senescence-induced iron mobilization in source leaves of barley (Hordeum vulgare) plants. New Phytol 195:372–83 pmid:22591276
View Article
PubMed/NCBI
Google Scholar

[179] View Article

[180] PubMed/NCBI

[181] Google Scholar

[ref49] 49. Takahashi M, Nakanishi H, Kawasaki S, Nishizawa NK, Mori S (2001) Enhanced tolerance of rice to low iron availability in alkaline soils using barley nicotianamine aminotransferase genes. Nat Biotechnol 19:466–9 pmid:11329018
View Article
PubMed/NCBI
Google Scholar

[183] View Article

[184] PubMed/NCBI

[185] Google Scholar

[ref50] 50. Solovyev VV, Kosarev P, Seledsov I, Vorobyev D, Collins F, Green E, et al (2006) Automatic annotation of eukaryotic genes, pseudogenes and promoters. Genome Biol 7:S10 pmid:16925832
View Article
PubMed/NCBI
Google Scholar

[187] View Article

[188] PubMed/NCBI

[189] Google Scholar

[ref51] 51. Kobayashi T, Suzuki M, Inoue H, Itai RN, Takahashi M, Nakanishi H, et al (2005) Expression of iron-acquisition-related genes in iron-deficient rice is co-ordinately induced by partially conserved iron-deficiency-responsive elements. J Exp Bot 56:1305–1316 pmid:15781441
View Article
PubMed/NCBI
Google Scholar

[191] View Article

[192] PubMed/NCBI

[193] Google Scholar

[ref52] 52. Sears E. (1954) The aneuploids of common wheat. Agric. Exp. Stn. Res. Bull. 572:
View Article
Google Scholar

[195] View Article

[196] Google Scholar

[ref53] 53. Guindon S, Dufayard JF, Lefort V, Anisimova M, Hordijk W, Gascuel O (2010) New Algorithms and Methods to Estimate Maximum-Likelihood Phylogenies: Assessing the Performance of PhyML 3.0. Syst Biol 59:307–321 pmid:20525638
View Article
PubMed/NCBI
Google Scholar

[198] View Article

[199] PubMed/NCBI

[200] Google Scholar

[ref54] 54. Le SQ, Gascuel O (2008) An improved general amino acid replacement matrix. Mol Biol Evol 25:1307–20 pmid:18367465
View Article
PubMed/NCBI
Google Scholar

[202] View Article

[203] PubMed/NCBI

[204] Google Scholar

[ref55] 55. Hillis DM, Bull JJ (1993) An Empirical Test of Bootstrapping as a Method for Assessing Confidence in Phylogenetic Analysis. Syst Biol 42:182–192
View Article
Google Scholar

[206] View Article

[207] Google Scholar

[ref56] 56. Schreiber AW, Sutton T, Caldo RAR, Kalashyan E, Lovell B, Mayo G, et al (2009) Comparative transcriptomics in the Triticeae. BMC Genomics 10:285 pmid:19558723
View Article
PubMed/NCBI
Google Scholar

[209] View Article

[210] PubMed/NCBI

[211] Google Scholar

[ref57] 57. Untergasser A, Cutcutache I, Koressaar T, Ye J, Faircloth BC, Remm M, et al (2012) Primer3—new capabilities and interfaces. Nucleic Acids Res 40:e115 pmid:22730293
View Article
PubMed/NCBI
Google Scholar

[213] View Article

[214] PubMed/NCBI

[215] Google Scholar

[ref58] 58. Vandesompele J, De Preter K, Pattyn F, Poppe B, Van Roy N, De Paepe A, et al (2002) Accurate normalization of real-time quantitative RT-PCR data by geometric averaging of multiple internal control genes. Genome Biol 3:research0034.1
View Article
Google Scholar

[217] View Article

[218] Google Scholar

Figures

Abstract

Introduction

Results and discussion

Six TaNAAT genes are located on chromosomal group 1 and three TaDMAS1 genes are located on chromosomal group 4

The TaNAAT and TaDMAS1 proteins share a common origin with HvNAAT and HvDMAS1 proteins

The TaNAAT1 and TaNAAT2 genes are highly expressed in root and anther tissues while the TaDMAS1 genes are broadly expressed across different tissues and developmental stages

Expression levels of the TaNAAT1, TaNAAT2 and TaDMAS1 genes are temporally regulated in wheat roots to enable rapid DMA biosynthesis in response to Fe deficiency and avoid NA depletion

The TaNAAT1 and TaNAAT2 genes function in different aspects of Fe homeostasis

Applications to plant breeding

Materials and methods

Identification of TaNAAT1, TaNAAT2 and TaDMAS1 genes

Sequencing of the TaNAAT1, TaNAAT2 and TaDMAS1 genes

Phylogenetic analyses

Construction of cDNA libraries

Quantitative reverse transcription-PCR (qRT-PCR) analysis of TaNAAT1, TaNAAT2 and TaDMAS1 genes

Statistical analyses

Supporting information

S1 Fig. Relative expression of the TaNAAT1, TaNAAT2 and TaDMAS1 genes in shoot and root tissues of bread wheat cv. Gladius under iron-sufficient/deficient conditions.

S2 Fig. Annotation of cis-acting elements within the 1kb promoter regions of the TaNAAT1, TaNAAT2 and TaDMAS1 genes.

S3 Fig. Expression of three housekeeping genes in bread wheat shoot and root tissues prior to normalization.

S1 Table. Percentage of sequence identity between the TaNAAT genes and proteins in bread wheat.

S2 Table. Percentage of sequence identity between the TaDMAS1 genes and proteins in bread wheat.

S3 Table. The rice, barley and maize proteins used in protein sequence and phylogenetic analyses.

S4 Table. Expression data of the TaNAAT1, TaNAAT2 and TaDMAS1 genes in 10 different tissues and developmental stages of bread wheat cv. Chinese Spring.

S5 Table. Expression data of the TaNAAT1, TaNAAT2 and TaDMAS1 genes in shoot and root tissues of bread wheat cv. Gladius under iron-sufficient/deficient conditions.

Acknowledgments

Author Contributions

References