- Research article
- Open Access
Overlapping transcriptional expression response of wheat zinc-induced facilitator-like transporters emphasize important role during Fe and Zn stress
BMC Molecular Biology volume 20, Article number: 22 (2019)
Hexaploid wheat is an important cereal crop that has been targeted to enhance grain micronutrient content including zinc (Zn) and iron (Fe). In this direction, modulating the expression of plant transporters involved in Fe and Zn homeostasis has proven to be one of the promising approaches. The present work was undertaken to identify wheat zinc-induced facilitator-like (ZIFL) family of transporters. The wheat ZIFL genes were characterized for their transcriptional expression response during micronutrient fluctuations and exposure to multiple heavy metals.
The genome-wide analyses resulted in identification of fifteen putative TaZIFL-like genes, which were distributed only on Chromosome 3, 4 and 5. Wheat ZIFL proteins subjected to the phylogenetic analysis showed the uniform distribution along with rice, Arabidopsis and maize. In-silico analysis of the promoters of the wheat ZIFL genes demonstrated the presence of multiple metal binding sites including those which are involved in Fe and heavy metal homeostasis. Quantitative real-time PCR analysis of wheat ZIFL genes suggested the differential regulation of the transcripts in both roots and shoots under Zn surplus and also during Fe deficiency. Specifically, in roots, TaZIFL2.3, TaZIFL4.1, TaZIFL4.2, TaZIFL5, TaZIFL6.1 and TaZIFL6.2 were significantly up-regulated by both Zn and Fe. This suggested that ZIFL could possibly be regulated by both the nutrient stress in a tissue specific manner. When exposed to heavy metals, TaZIFL4.2 and TaZIFL7.1 show significant up-regulation, whereas TaZIFL5 and TaZIFL6.2 remained almost unaffected.
This is the first report for detailed analysis of wheat ZIFL genes. ZIFL genes also encode for transporter of mugineic acid (TOM) proteins, that are involved in the release of phytosiderophores to enhance Fe/Zn uptake. The detailed expression analysis suggests the varying expression patterns during development of wheat seedlings and also against abiotic/biotic stresses. Overall, this study will lay foundation to prioritize functional assessment of the candidate ZIFL as a putative TOM protein in wheat.
Cereal crops are important targets for enhancing micronutrient content, including iron (Fe) and zinc (Zn) in the developing grains. From human nutritional point of view, these micronutrients play an important role in growth and development, cognitive and immune impairment, and in gene regulation [1,2,3]. Therefore, researches worldwide are identifying diverse approaches to generate micronutrient rich food crops. Apart from a nutritional point of view, Fe and Zn are also essential minerals for plant development and various biochemical functions [4, 5]. Multiple metal specific transporters and regulators show co-expression and could share common signaling features including the response towards Zn, Fe or other metals. Several specific transporters that are involved in the uptake and translocation of Fe and Zn, inside the plant have been described previously [6,7,8,9,10,11]. Efficient micronutrient uptake by plants is a concerted effort of major genes belonging to the different families of transporters that include, but are not limited to zinc–regulated transporter, iron–regulated transporter family, the natural resistance associated macrophage protein family, yellow-stripe 1-like (YSL) subfamily of the oligopeptide transporter superfamily, Ca2+-sensitive cross complementer 1 (CCC1) family [12,13,14,15,16].
Many evidences are gathering that suggest an important role of major facilitator superfamily (MFS) clan of transporters, yet the identification of specific candidate genes has been always a bottleneck. Earlier, MFS-zinc-induced facilitator-1 like (ZIFL) genes, were identified and its role was assessed in different stresses including Zn homeostasis . Role of ZIFL was largely unaddressed in plants until the detailed inventory from model plant Arabidopsis thaliana and in crops like Oryza sativa [17, 18]. Since, the first identification of the three ZIFL in Arabidopsis referred to as AtZIF1 (AT5G13740), AtZIFL1 (AT5G13750) and AtZIFL2 (AT3G43790) evidences are accumulating for their role specifically in Zn homeostasis . Subsequently, multiple ZIFL genes from monocot such as rice were identified and the presence of high numbers was correlated with the genome duplication events. It was also speculated that plant ZIFL proteins might perform redundant function that is imperative by their overlapping gene expression response during changed regime of Fe and Zn . In addition to that, the rice ZIFL genes were also functionally characterized to be a transporter of mugineic acid (TOM), a phytosiderophore involved in strategy-II mode of Fe uptake via roots [20, 21]. They are involved in efflux of phytosiderophores including deoxymugineic acid (DMA), mugineic acid (MA) or nicotianamine (NA) have been characterized in rice and are reported to be tissue-specific including shoot–root junction or in roots [19, 21]. In rice seeds a positive co-relation was observed in NA and DMA levels with the Fe and Zn content especially in embryo tissue . These functions of TOM family genes suggest their importance in the maintenance of micronutrient homeostasis through secretion of DMA/MA and thereby help to translocate them into the sink areas of plants and is characteristic of Strategy-II mode of Fe uptake . Furthermore, the plant ZIFL genes were also reported for their involvement in potassium homeostasis and their ability to transport transition metal such as cesium . These studies provide a valuable clue for ZIFL function that is not just limited to transport of important micronutrients.
Hexaploid wheat (Triticum aestivum L.) is an important crop for the developing countries where, the suboptimal levels of grain Zn and Fe have been reported. Initiatives to enhance multiple micronutrients including Zn and Fe are being undertaken by either gain of function approach or RNAi mediated gene silencing [24,25,26]. Earlier, using wheat grain transcriptome data it was confirmed that a higher proportion of transcripts were present in abundant amount that are known to be involved in transport activity (GO:0005215) . Therefore, such studies provided the framework to investigate new resources and genes that could be of immense value to address the uptake and remobilization of micronutrients in cereal grains like wheat. To provide impetus in this direction, inventory of wheat MFS-ZIFL needs to be explored to identify important candidate genes.
In the current work, 35 ZIFL homoeologs representing fifteen genes from hexaploid wheat were identified that showed their restricted distribution only at three chromosomes viz. 3, 4 and 5. Phylogenetic analysis revealed a uniform distribution of wheat ZIFL sequences in multiple clades along with rice, Arabidopsis and Zea mays. Detailed characterization of the ZIFL genes for their motif composition, promoter sequences and their expression under Fe limiting and Zn surplus condition and other heavy metals was also performed. Our data indicate that the wheat ZIFL show overlapping expression response during Fe deficiency and Zn excess condition. Few of the wheat ZIFL gene expression remained unaffected by the presence of heavy metals. Overall, characterization of crop ZIFL transporters could result in identifying specific candidate/s that could be used further to modulate specific Fe-Zn uptake in crop plants such as wheat.
Genome-wide identification and phylogenetic analysis of wheat ZIFL
In order to identify wheat ZIFL genes and to gain insight for possible evolutionary relationship, two complementary approaches were used. This includes, first performing genome-wide sequence search of MFS_1 family using Pfam BLAST (PF07690), followed by homology-based analysis with previously reported ZIFL genes in different plant species using Ensembl database. These approaches resulted in the identification of one hundred seventy-nine sequences and to further validate their identity sequences were checked and searched for MFS_1 domain through Pfam and conserved domain databases (CDD-NCBI) (Additional file 1: Table S1). These sequences were then used to build phylogenetic tree with previously known ZIFL protein sequences from different plants (Additional file 1: Table S1 and Additional file 2: Figure S1). The arrangement of tree suggested a distinct clade for the ZIFL cluster when compared to the remaining MSF_1 proteins. This indicates that ZIFL is a distinct group of MFS transporters that are tightly clustered (Additional file 2: Figure S1). Further, this distribution was confirmed through signature sequences that are specific to ZIFL proteins. The presence of either of these signature sequences validated the distribution of ZIFL proteins. Two wheat specific signature sequences included (i) W-G-x(3)-D-[RK]-x-G-R-[RK] (found in all except in TaZIFL2.5-5D) and (ii) S-x(8)-[GA]-x(3)-G-P-x(2)-G-G with an exception of A instead of G at 10th position of (ii) signature in TaZIFL2. Furthermore, sequences similar to ZIFL specific cysteine (Cys) and histidine (His) signatures were also used for identifying TaZIFL. (iii) C-[PS]-G-C, absent in 6 TaZIFL sequences (TaZIFL2.5-5D, TaZIFL 3-4B, TaZIFL 4.2-4B, TaZIFL 5-5D, TaZIFL 7.1-4B, TaZIFL 7.2-4B) probably due to missing sequence information and (iv) [PQ]-E-[TS]-[LI]-H-x-[HKLRD] (an insertion of ETLYCRHEHRYSIFISLD sequence within the motif was found in TaZIFL7.2-4A) . These signatures guided identification of specific wheat ZIFL from the rest of the MFS_1 member. Such analysis resulted in confirmation of a total of thirty-five wheat ZIFL sequences, including individual TaZIFL genes and their respective homoeologs from different wheat sub-genomes (Additional file 3: Table S2). To check the distribution along with other plant species, ZIFL protein sequences from O. sativa, Z. mays and Arabidopsis were used to build a rooted phylogenetic tree through the NJ method (Fig. 1). Because of the genome duplication events in wheat, the genes are likely to show multiple alleles of a single gene. Hence the resulted 35 putative wheat ZIFL represent 15 genes after distribution with respective homoeologs (Fig. 1). To provide the uniform nomenclature, TaZIFL genes were named according to their respective closest known orthologs from rice. Among the wheat ZIFL proteins TaZIFL4.1 showed highest homology with TaZIFL4.2 of 95.2 percentage identity. When a cross species comparison was done, the maximum identity of 87 percent was shown by TaZIFL2.2-3D and AtZIFL2. With rice, the highest percentage identity of 87 was observed for wheat ZIFL2.2-3A and OsZIFL2. Divergence was observed among TaZIFL3-4B and OsZIFL13 with percentage identity of 50.
Molecular structure and genome organization
The predicted protein length of the identified wheat ZIFL sequence ranged from 300 to 562 amino acids (Additional file 3: Table S2). In general, most of the wheat ZIFL showed 10–12 predicted trans-membrane (TM) domains as reported in rice . Specifically, 16 wheat ZIFL proteins were predicted to have 12 TM domains, 15 proteins have 10–11 predicted TM domains, 3 proteins were found to have 8–9 TM domains and only one wheat ZIFL has 4 TM domains (Additional file 3: Table S2). Further, the genomic organization analysis revealed the presence of genes in all three A, B and D sub-genomes. Maximum number of genes were found to be present on B and D sub-genome with 13 and 12 genes respectively (Fig. 2a). TaZIFL1.2, TaZIFL2.2, TaZIFL3, TaZIFL5, TaZIFL6.2, TaZIFL7.1, TaZIFL7.2 are present in all three genomes, while TaZIFL2.3 and TaZIFL2.4 are present on only one genome 5B and 5D respectively (Additional file 3: Table S2). The chromosomal distribution mapping revealed TaZIFLs to be present only on chromosome 3, 4 and 5 with maximum of 17 sequences on chromosome 4 (Fig. 2b, c). Next, the genomic structure was analyzed and regions corresponding to intron–exons were marked (Fig. 3). TaZIFL clustered into the same group and shared almost similar distribution pattern for the number of exon/intron. The intron–exon number varies from 14 to 18 in the respective TaZIFL genomic sequences (Fig. 3, Additional file 3: Table S2).
Protein motif analysis reveals the presence of diverse domains
To have an understanding about the similarity, variation in motif composition and distribution of TaZIFL, 15 sequences representing each ZIFL transcript was subjected to MEME analysis. Our analysis revealed the presence of fifteen motifs (Fig. 4a, Additional file 4: Table S3). Out of fifteen motifs, six were conserved throughout all ZIFL, while some lacked few motifs. Four unique and exclusive motifs (12, 13, 14, 15) were identified, which are specific to the respective group. Motif 14 and motif 12 (Fig. 4b, Additional file 4: Table S3) are specific to TaZIFL2.1, TaZIFL2.2, TaZIFL2.3, TaZIFL2.4 and TaZIFL2.5, which indicated that TaZIFL2 members might share similar functions. Motif 14 was also present in TaZIFL6.2. Another set of unique motifs, mentioned as motif 13 and 15 was found in TaZIFL4.1 and TaZIFL4.2, which may indicate probable different function from rest of TaZIFLs. The canonical MFS signature WG[V/M/I][F/V/A/I]AD[K/R][Y/I//H/L]GRKP was majorly present in the cytoplasmic loop between TM2 and TM3 (Additional file 2: Figure S2, Additional file 5: Table S4) as well S-x(8)-G-x(3)-G-P-[A/T/G]-[L/I]-G-G as anti-porter signature mainly in TM5. The results suggest that ZIFL proteins share unique signatures and high similarity indicating they are a distinct group of MFS family. Presence of conserved signatures Cysteine (Cys)-containing motif CPGC reported previously were also present in most of the wheat ZIFL proteins . The absence of these motifs was observed in TaZIFL2.5_5D, TaZIFL 3_4B, TaZIFL 4.2_4B, TaZIFL5_5D, TaZIFL7.1_4B and TaZIFL7.2_4B. This might be because of missing sequence information. This motif was found to be present in the cytoplasmic N-terminal loop for TaZIFL groups 2, 4, 5, 6 and in the non-cytoplasmic N-terminal loop for groups 1, 3 and 7 (Additional file 2: Figure S2 and Additional file 5: Table S4). Another conserved histidine (His)-containing motif PET[L/I]H showed its presence in the cytoplasmic loop between TM domains ranging from 2 and 3 to 6 and 7, with highest between 6 and 7 TM domains (Additional file 2: Figure S2).
Analysis of conserved cis-elements in the promoter of wheat ZIFL genes
To find the molecular clues that could regulate the expression of wheat ZIFL transcripts, the 1.5 kB promoter region of the all identified wheat ZIFL genes was explored. Our analysis revealed a large number of cis-elements in the promoter of wheat ZIFL. Predominantly, the promoters were enriched with the presence of the core binding site for iron-deficiency responsive element binding factor 1 (IDEF), iron related transcription factor 2 (IRO2) and heavy metal responsive element (HMRE) (Additional file 6: Table S5). The presence of these promoter elements suggests that wheat ZIFL genes might respond towards the presence of heavy metals and to important micronutrients like Fe and Zn. Interestingly, IDE1 cis-element was present on promoters of all the respective wheat ZIFL genes suggesting that they could respond to Fe deficiency conditions. Few of these promoters consist of multiple such cis-elements suggesting their diverse function in plants (Additional file 6: Table S5).
Expression patterns of wheat ZIFL genes under Zn and Fe stress
ZIFL are primarily known to respond towards Zn excess (+Zn), therefore experiments were performed to study the gene expression of wheat ZIFL in roots and shoots. The qRT-PCR analysis suggested tissue specific expression response by wheat ZIFL genes. A total of eight genes, including TaZIFL1.2, TaZIFL2.2, TaZIFL2.3, TaZIFL4.1, TaZIFL4.2, TaZIFL5, TaZIFL6.1 and TaZIFL6.2 showed significantly higher expression during one of the time points under Zn surplus condition (Fig. 5). Among them, the fold expression level for TaZIFL4.1 was highest (~ sevenfold) at 3 days after treatment (DAT) with respect to control roots (Fig. 5a). Few genes like TaZIFL 1.1, TaZIFL7.1 and TaZIFL7.2 remained unaffected by the +Zn condition in roots. In shoots, TaZIFL1.1, TaZIFL1.2, TaZIFL6.1 and TaZIFL6.2 showed significant transcript accumulation either at 3DAT or 6DAT after treatment (Fig. 5b). Notably, TaZIFL1.2, TaZIFL6.1 and TaZIFL6.2 show enhanced transcript accumulation in both the tissues. In contrast, during our experiment the expression of a few wheat ZIFL genes showed down-regulated in shoots but not in roots. Our expression data under Zn surplus condition suggested the differential response by wheat ZIFL towards the treatment.
Previous evidences indicated that plant ZIFL genes not only respond to Zn excess, but are also affected by the Fe limiting conditions . Therefore, expression analysis of wheat ZIFL genes was checked in roots and shoots of seedling under Fe starvation (−Fe). Interestingly, in the root expression of TaZIFL4.1, TaZIFL4.2 and TaZIFL7.2 show up-regulation during Fe limiting condition at both at 3 and 6 DAT. Out of the remaining genes, TaZIFL2.3, TaZIFL6.2 and TaZIFL7.1 show significant transcript abundance at one-time point or the other (Fig. 6a). Interestingly, in shoots TaZIFL1.1, TaZIFL1.2, TaZIFL3, TaZIFL4.1, TaZIFL4.2, TaZIFL5 and TaZIFL7.1 show up-regulation only at 3 DAT, suggesting their coordinated response in shoots (Fig. 6b). Under −Fe condition, wheat ZIFL genes, namely, TaZIFL4.1 and TaZIFL4.2 show high transcript accumulation in both roots and shoots. Remaining genes remain unaffected by the Fe stress (Fig. 6b). Overall, our expression data suggested that indeed wheat ZIFL respond to the Fe limiting condition, thereby suggesting a common interlink of this gene family during Zn and Fe homeostasis.
Candidate TOM genes show expression response to the presence of heavy metals
Phylogenetic arrangement of the wheat MFS-ZIFL proteins along with the rice also revealed the possible wheat homologs for TOM transporters. Thus, based on the clade distribution and the percentage identity with the rice TOM (TOM1-OsZIFL4, TOM2-OsZIFL5 and TOM3-OsZIFL7), wheat TOM transporters were identified as TaZIFL4.1/TaZIFL4.2, TaZIFL5 and TaZIFL7.1/TaZIFL7.2. Rice TOM1 and TOM2 falls in the same sub-clade along with wheat along with TaZIFL5 and TaZIFL6, therefore we included them to study their response in presence of heavy metals.
Our promoter analysis of wheat ZIFL genes indicates the presence of multiple HMRE suggesting that few of these genes could respond to the heavy metals (Additional file 6: Table S5). Due to the importance of TOM genes in micronutrient mobilization the expression of these transcripts in wheat seedlings (shoots and roots) was studied after exposure to heavy metals such as Co, Ni and Cd. During our experiment all the seedlings showed phenotypic defects when exposed to heavy metals (data not shown). Our expression analysis suggested that wheat ZIFL genes show metal specific responses. For example, TaZIFL4.2 and TaZIFL7.1 showed significant up-regulation in both roots and shoots when exposed to any of the metals tested (Fig. 7). In contrast, the transcripts of TaZIFL5 and TaZIFL6.2 remained unaffected under these heavy metals. Expression of TaZIFL7.2 showed almost no change in the presence of Ni in either of the tissues, yet it was specifically up-regulated in roots when exposed to Cd or Co. Similarly, TaZIFL6.1 showed significant upregulation only in roots upon exposure to Ni and Co (Fig. 7). Overall, these data indicate the influence of specific heavy metals on the expression of wheat ZIFL genes in a tissue dependent manner.
Expression of wheat ZIFL transcripts in different wheat tissues and during stress condition
Analysis of ZIFL genes was also performed in different wheat tissues and developmental stages by using qRT-PCR and transcript expression data. Developing grains are an important reservoir for micronutrients, therefore expression studies were carried out for putative wheat TOM genes during the grain maturation. Transcriptional expression of these genes was checked during grain development (7, 14, 21 and 28 days after anthesis-DAA). Our qRT-PCR analysis of putative TOM genes during the grain development showed differential expression pattern with majority of candidate genes (Additional file 2: Figure S3). In general, most of the putative candidate TOM genes showed high expression at the late phase of the grain maturation i.e. 21 and 28 DAA. In addition to this, wheat expression browser and expVIP (http://www.wheat-expression.com/) was used to extracted the expression values as Transcript per millions (TPM). TaZIFL expression values in different tissues (aleurone-al, starchy endosperm-se, seed coat-sc, leaf, root, spike, shoot) and various developmental stages were extracted (Additional file 7: Table S6) and depicted as a heatmap (Fig. 8). In reference to grain tissue developmental time course (GTDT) , highest expression was seen for TaZIFL1.2 (3B, 3D) and TaZIFL5 (5A, 5B), with an increase in expression in “al” at 20 dpa and “al and se” at 30 dpa. In the expression values during grain tissue specific expression (at 12 dpa) , TaZIFL1.2 was not expressed, but like GTDT study, TaZIFL5 (5A, 5B) was expressed in “al” as well as “se” Fig. 8). While for sc tissue, TaZIFL2.2-3D and TaZIFL7.1 (4A, 4D) had the highest expression when compared to other ZIFL genes. For the tissue specific expression response TaZIFL2.2 was abundant in spike, TaZIFL1.2 in leaf and root. TaZIFL5 was predominantly expressed in all the tested tissue, including leaf, shoot, spike and shoot. The transcripts exclusively expressed in root were TaZIFL2.4-5D, TaZIFL2.5-5B, TaZIFL6.1-5A, and TaZIFL7.2-4D, with high induction of TaZIFL4.1 (4B, 4D), TaZIFL4.2-4A, TaZIFL6.2 (4A, 4B, 4D) for three-leaf and flag leaf stage as compared to the seedling stage. Highest expression induction was seen for TaZIFL4.2-4D. In addition, the highest expression overall in five tissues was observed for TaZIFL1.2 (3A, 3B, 3D) in leaves for seedling as well as tillering stage, TaZIFL2.2-3D in spike, TaZIFL3-4A in leaf, TaZIFL5-5A in grain, TaZIFL7.1-4D in grain and leaf.
For abiotic stress, while no major changes were observed for TaZIFLs, TaZIFL4.1 (4B, 4D) and TaZIFL4.2 (4A, 4D) were found to be significantly downregulated by ~ 14-fold under phosphate deficiency, while TaZIFL6.2-4D was downregulated by threefold (Additional file 2: Figure S4a, Additional file 7: Table S6). Under heat, drought and heat-drought combined stress (Additional file 2: Figure S4a, Additional file 7: Table S6), TaZIFL7.1 (4A, 4D) and TaZIFL7.2-4D were induced by up to ~ sevenfold and ~ twofold respectively, whereas TaZIFL1.2 (3A, 3B, 3D) and TaZIFL5 (5A, 5B) were downregulated by 6 and 7.5-fold, respectively. No significant changes in the TaZIFL gene expression were observed for Fusarium head blight infected spikelets (Additional file 2: Figure S4b, Additional file 7: Table S6). For Septoria tritici infected seedlings, while a ~ twofold induction was observed for TaZIFL1.2 (3A, 3B) after 4 days of induction, prolonged infection (13 days), resulted in its downregulation. Other ZIFLs showing changed expression were TaZIFL1.2-3D and TaZIFL2.2-3A (> twofold up-regulation), TaZIFL3-4B (up to 2.7-fold downregulation). TaZIFL1.2 (3A, 3B, 3D) were also downregulated (up to ~ fourfold) in seedlings with stripe rust infection, while only TaZIFL1.2-3D was downregulated under powdery mildew infection. These expression data suggest that specific ZIFLs are differentially regulated under infection conditions and show perturbed expression under abiotic stresses.
Wheat ZIFL proteins as putative phytosiderophore efflux transporters
The current work was undertaken to build the inventory of wheat ZIFL. Since wheat is a hexaploid species with three genomes therefore, we expect a high number of transcripts encoding for a particular gene family. Our analysis resulted in the identification of 35 ZIFL gene sequences corresponding to fifteen individual genes from hexaploid wheat. A unique observation made for the wheat ZIFL is that all the genes are restricted to chromosome 3, 4 or 5 only (Fig. 2). This study and the previous preliminary report, led to the identification of a total of fifteen ZIFL genes with TaZIFL1.2, TaZIFL2.2, TaZIFL3, TaZIFL4.2, TaZIFL5, TaZIFl6.2, TaZIFL7.1 and TaZIFL7.2 showing the presence of all the homoeologous (homoalleles) genes . The identified wheat ZIFL proteins belong to the MFS superfamily, thereby containing the canonical MFS signature and antiporter sequence (Additional file 2: Figure S2). Given the high sequence homology, they are named from TaZIFL1 to TaZIFL7 according to their clade distribution in the phylogenetic tree that corresponds to the rice genes. Previously, in rice multiple TOM genes were identified as protein belonging to the ZIFL sub-family. Subsequent characterization of these rice ZIFL genes led to the identification of functionally active OsTOM1, OsTOM2 and OsTOM3 [20, 21]. Specifically, TOM2 was shown to be an important internal phytosiderophore efflux transporter whereas, TOM1 was demonstrated to efflux into soil from root cells and thereby involved in metal transport in specific tissue . These observations reinforce the importance of TOM family in translocating metals into the sink areas of the plants . TOM-like genes remain to be identified from hexaploid wheat. Based on the phylogenetic arrangement and the percentage corresponding homologs for the wheat TOM could be TaZIFL4.1/4.2, TaZIFL5 and TaZIFL7.1/7.2. Identified wheat ZIFL proteins show localization on the PM, except for TaZIFL4.2-4B, TaZIFL5-5D and TaZIFL7.1-4B. Only TaZIFL4.2-4B, TaZIFL5-5D are putatively localized in vacuolar membrane, thereby making them a potential candidate to assess their tissue specific role in micronutrient mobilization or storage in the cell organelles.
In general, very small number of ZIFL genes are being reported from dicot species like Arabidopsis and Vitis vinifera and Populus trichocarpa . Given the complexity of the wheat genome, we anticipated the presence of multiple possible putative phytopsiderophore efflux transporters that need to be functionally characterized in the near future. In rice, the high ZIFL numbers have been accounted due to the lineage-specific expansion by duplication of the gene family . Overall, our analysis identified highest number of ZIFL genes reported till date from any monocot species.
Wheat ZIFL genes display overlapping gene expression
Plants undergoing metal stress result in series of signaling events that largely include reprogramming of transcripts to overcome the toxic effects. In plants, excess of Zn also results in the generation of reactive oxygen and nitrogen species . The abundance of multiple membrane proteins is increased by the presence of either excess Zn or Fe deficiency. In line with the previous studies, our data also confirmed the overlapping expression response of wheat ZIFL genes . Additionally, under Fe limiting conditions, induction of Zn responsive genes could be an important step towards limiting the non-specific transport activity of transporters which are primarily induced for Fe deficiency. ZIFL are well known for their response towards the presence of excess Zn . Our study revealed that multiple wheat ZIFL genes responded to excess Zn, either in shoots or roots in a temporal manner. Interestingly, most of the wheat ZIFL genes show the presence of Fe responsive cis-element IDE1. IDE1 is one of the primary cis-elements that respond to Fe limiting conditions . Therefore, we studied the expression of wheat ZIFL genes under –Fe condition. Multiple ZIFL genes showed specific response towards Fe deficiency, suggesting that the deficiency response shown by ZIFL transcripts could be mediated by transcription factors like IDE1. Expression of the few of the ZIFLs like TaZIFL1.1, TaZIFL1.2, TaZIFL4.2 and TaZIFL6.2 were also affected by both Fe and Zn in either root or shoot. RNA-seq expression analysis of Fe deficiency in wheat roots for 20 days was checked for the expression of wheat ZIFL genes. At the late stage of Fe deficiency TaZIFL4.1 and TaZIFL4.2 show highest expression (Additional file 2: Figure S5) . These results suggest that few of these ZIFL genes might be involved in the overlapping pathways of Fe and Zn homeostasis. Such commonality of Zn and Fe homeostasis were reported earlier and are also evident from our work. This may suggest the overlap of the common network of transcription factors involved in Fe and Zn homeostasis. In our study, the promoters of TaZIFL1.2, TaZIFL2.3, TaZIFL7.1 and TaZIFL7.2 showed the presence of IRO2 binding domains that has been previously speculated to be the link between Fe and Zn homeostasis . Nonetheless, only TaZIFL1.2 respond to −Fe and +Zn stress that is restricted only to shoots. Previously, it was also shown that expression of Arabidopsis ZIF1 remained unaffected in the presence of sub-inhibitory levels of Cd or Cu . Based on the expression response of ZIFL genes during in the presence of heavy metals it seems that TaZIFL5 and TaZIFL6.2 could be one of the best candidate genes for the further studies, as both the genes remained unaffected. Nevertheless, careful selection of candidate gene must be done to minimize the cotransport of other undesired metals during micronutrient uptake.
In addition to their anticipated role in Fe and Zn homeostasis, their role in root development has been also proven. Plant ZIFL transporters have been reported to regulate stomatal movements by means of polar auxin transport, thereby modulating potassium and proton fluxes in Arabidopsis . Analysis of the expVIP data suggested high expression of wheat ZIFL genes (TaZIFL7.1-4A and 4D) under drought condition. Earlier, zifl-1 and zifl-2 mutants of Arabidopsis showed hypersensitivity to drought stress by disruption of guard cells activity . TaZIFL1.2 is the wheat transporter showing highest expression in leaf and highest homology with AtZIFL1, thereby belonging to the same clade in the phylogeny tree. In contrast to the expected function of ZIFL in Fe and Zn homeostasis, a putative role has been demonstrated in plant defense. Maize ZIFL referred as Zm-mfs1 was high induced during plant defense and has been implicated its role for export of antimicrobial compounds during its interaction with the bacterial pathogen . In our study, a strong expression of multiple ZIFL genes was observed when infected with multiple pathogens suggesting its important role in providing resistance against fungal pathogens (Additional file 2: Figure S4b).
This study concludes that ZIFL transporters are the important players during the crosstalk of Fe and Zn homeostasis. With the evidence regarding their role as a transporter for NA and MA in crops, ZIFL genes are certainly a priority candidate to address the uptake and remobilization of micronutrients in the cereal grains such as wheat.
This the first comprehensive study that resulted in the identification of fifteen putative ZIFL genes from hexaploid wheat at the homoeolog level. These are the highest number of ZIFL genes reported in plant system till date. Wheat ZIFL were characterized for their expression response in seedlings exposed to excess Zn and Fe deficiency. The contrast expression of these ZIFL in presence of heavy metals suggested their functional redundancy and pinpoint importance of a few candidate ZIFL genes for their functional validation. Our work identified candidate ZIFL from hexaploid wheat that could be the important target to address new means to enhance micronutrient uptake by targeting phytosiderophore release.
Identification of the MFS_1 family in wheat
To identify the potential members of ZIFLs from MFS_1 transporter family in wheat genome, we used two independent approaches. In the first approach, the Pfam number (PF07690) for MFS_1 was used and sequences were extracted from wheat using the Ensembl wheat database. As a complementary approach, known sequences of ZIFL genes from A. thaliana, O. sativa and Brachypodium distachyon were retrieved and used for BLAST analysis against the wheat database: Ensembl (http://plants.ensembl.org/Triticum_aestivum/) to retrieve the sequences. The identified MFS_1 superfamily was validated through the domain search in CDD-NCBI database (https://0-www-ncbi-nlm-nih-gov.brum.beds.ac.uk/Structure/cdd/wrpsb.cgi) .
Identification, classification, and chromosomal distribution of wheat ZIFL genes
To identify putative TaZIFLs genes among MFS_1 superfamily sequence, phylogenetic tree was constructed with known ZIFLs from different plants that separated the ZIFL cluster from the rest of the MFS_1 superfamily members. This distribution of genes in ZIFL cluster was validated through the presence of ZIFL specific signature sequences. To construct the phylogenetic tree one hundred seventy-nine wheat MFS_1 superfamily protein sequences were retrieved from Pfam no. (PF07690). In addition to that, thirteen-protein sequence of ZIFL from O. sativa, five from Zea mays and three from Arabidopsis were used. Identified TaZIFLs were named according to their corresponding rice orthologs having maximum number of ZIFL reported. The name indicates corresponding ortholog from rice followed by chromosomal and genomic location e.g. TaZIFL3-4A, TaZIFL3-4B and TaZIFL3-4D represent three homoeologous of TaZIFL genes in chromosome four of all the three A, B and D sub-genomes and it is an ortholog of OsZIFL3. To know the evolutionary relationship among ZIFL proteins, phylogenetic analysis was performed along with other plant species (O. sativa, Z. mays and Arabidopsis). All the proteins were aligned through MUSCLE algorithm and a rooted phylogenetic tree was used to construct with the Neighbor-joining (NJ) method using MEGA7 software with 1000 bootstrap replicates . To determine the distribution of ZIFL genes in the wheat chromosomes, the position of each ZIFL gene was obtained using wheat Ensembl database.
Analysis of conserved domains, gene arrangements and subcellular localization of wheat ZIFL
The divergence and conservation of motifs in wheat ZIFL proteins were also identified by using MEME (Multiple Expectation Maximization for Motif Elicitation) program version 5.0.2 (http://meme-suite.org)  with a maximum motif width, 50; maximum number of motifs, 15; and minimum motifs width, 6. Gene Structure Display Server (GSDS 2.0)  was used to analyze the gene structure. Individual wheat ZIFL CDS and corresponding genomic DNA were aligned to identify the intron–exon arrangement. Using Expasy Compute PI/MW online tool (http://us.expasy.org/tools/protparam.html) the predicted isoelectric points and molecular weights of putative TaZIFLs were calculated. To predict terminal ends and number of transmembrane domains, TMHMM (http://www.cbs.dtu.dk/services/TMHMM/) was utilized. The putative protein sequences of ZIFL were further in silico analyzed to predict their subcellular localization by WoLF PSORT (https://wolfpsort.hgc.jp/) prediction program .
Plant material and Fe, Zn and heavy metals treatments
For giving various Zn and Fe treatments, seeds of Triticum aestivum cv. C306 (provided by Punjab Agriculture University, Ludhiana, India) were used. Bread wheat cv. C306, has been undertaken for research purpose since it is having a good processing (including chapatti making) quality [40, 41]. Previously this cultivar was also used for Fe deficiency related studies to characterize wheat YSL transporter . For experiments, the seeds were washed with double autoclaved water for the removal of dirt followed by surface sterilization with 1.2% Sodium hypochlorite prepared in 10% ethanol. Seeds were stratified by keeping them overnight in dark at 4 °C on moist Whatman filter papers in a Petri dish. The stratified seeds were further allowed to germinate at room temperature. For each experiment, healthy seedlings were transferred to phytaboxes (12–15 seedlings/phytabox: in three biological replicates) and grown in autoclaved water in growth chamber for 5 days. The endosperm was removed after 5 days and plants were kept in their respective media according to the treatment. Five days old seedlings were subjected to different Zn and Fe conditions and grown in Hoagland media  in triplicates supplemented with either 2 µM of Fe(III) EDTA for Fe deficient condition (−Fe) or 200 µM of ZnSO4.7H2O  for the Zn surplus experiment (+Zn). Total S content was adjusted with the macronutrient used in Hoagland media. Seedlings grown in the Hoagland media containing 20 µM of Fe(III) EDTA and 2 µM of ZnSO4.7H2O were used for control experiments. The roots and shoots of plantlets (5 days post germination) were collected after 3 and 6 DAT along with their respective controls. Every alternate day, the seedlings in the phyta-boxes were supplemented with the fresh media, replacing the old media. For heavy metal treatment the 5 days old plantlets were subjected to cadmium (50 µM CdCl2), cobalt (50 µM CoCl2), nickel (50 µM NiCl2) treatment. Root and shoot samples from each replicate were collected after 15 days of treatment. To study the gene expression during different stages of seed development (7, 14, 21 and 28 DAA), tagging was done for the main spikes of the respective biological replicates at the first DAA. At the indicated time points, developing grains from the tagged spikes were collected and frozen in liquid nitrogen for RNA extraction.
RNA isolation, cDNA preparation and qRT-PCR analysis
Total RNA was extracted from harvested roots and shoot samples using TRIZOL RNA extraction method. Turbo DNAfree kit (Invitrogen, USA) was used to remove the genomic DNA. RNA samples were then quantified on nanodrop and subsequently, 2 µg of total RNA was used to prepare cDNA by using SuperScript III First-Strand Synthesis System (Invitrogen, USA). For expression analysis qRT-PCR primers were designed from the conserved region of respective TaZIFL genes to account for the respective additive gene expression response (Additional file 8: Table S7). Amplicons arising from these primers were also processed for sequencing to avoid any cross amplifications of the ZIFL genes. Sequencing of the amplicon revealed gene specific expression except for TaZIFL2.4 and TaZIFL2.5, for which either no amplicons were detected under our condition or were non-specific due to its close homology with other members. Therefore, these two were not considered for the expression studies. 10X diluted cDNA and SYBR Green I (QuantiFast® SYBR® Green PCR Kit, Qiagen, Germany) was used to perform qRT-PCR on 7500 Fast Real-Time PCR System (Applied Biosystems, USA). qRT-PCR was performed using three biological replicates and two to four technical replicates. The relative mRNA abundance was normalized with wheat ARF1 as mentioned earlier (ADP-Ribosylation Factor, AB050957.1) [43, 44]. The relative expression was calculated through delta–delta CT-method (2−ΔΔCT) . The statistical significance of expression data was determined using student’s t-test (p-value < 0.05).
In-silico expression analysis
For in-silico expression analysis, a total of 35 TaZIFL genes were selected and wheat expression browser, expVIP [http://www.wheat-expression.com/] was used to extract the expression values in the form of TPMs. These values were then used to build heatmaps using MeV software [http://mev.tm4.org/]. While absolute values were used for development and tissue-specific data, fold change values were used for stress conditions where a gene was taken to be upregulated if fold change was greater than 2 and downregulated if less than 0.66. For abiotic stress, expression for two studies, phosphate deficiency  and heat, drought and heat-drought stress  was studied. In case of biotic stress, the studies considered were [48,49,50]. For expression of wheat ZIFL genes under Fe deficiency experiments RNAseq data, NCBI Project ID PRJNA529036 was utilized for analysis.
Availability of data and materials
All data generated or analysed during this study are included in this published article [and its additional information files]. Description of a complete protocol are included within the article.
Ca2+-sensitive cross complementer 1
yellow-stripe like protein
zinc-induced facilitator-1 like gene
conserved domain database
major facilitator superfamily
heavy metal responsive element
iron related transcription factor 2
iron-deficiency responsive element binding factor 1
quantitative real time polymerase chain reaction
transporter of mugineic acid
transcript per millions
days after treatment
days after anthesis
Nyaradi A, Li J, Hickling S, Foster J, Oddy WH. The role of nutrition in children’ s neurocognitive development, from pregnancy through childhood. Front Hum Neurosci. 2013;7:1–16.
Gibson RS. Zinc: the missing link in combating micronutrient malnutrition in developing countries. Proc Nutr Soc. 2006;65:51–60.
Wishart K. Increased micronutrient requirements during physiologically demanding situations: review of the current evidence. Vitam Miner. 2017;6:1000166.
Rout GR, Sahoo S. Role of iron in plant growth and metabolism. Rev Agric Sci. 2015;100:1726–37.
Hafeez B, Khanif YM, Saleem M. Role of zinc in plant nutrition—a review. Am J Exp Agric. 2013;3:374–91.
Kawachi M, Kobae Y, Mori H, Tomioka R, Lee Y, Maeshima M. A mutant strain arabidopsis thaliana that lacks vacuolar membrane zinc transporter MTP1 revealed the latent tolerance to excessive zinc. Plant Cell Physiol. 2018;50:1156–70.
Stein RJ. Plant science differential regulation of the two rice ferritin genes (OsFER1 and OsFER2). Plant Sci. 2009;177:563–9.
Lee S, An G. Over-expression of OsIRT1 leads to increased iron and zinc accumulations in rice. Plant Cell Environ. 2009;32:408–16.
Eide D, Broderius M, Fett J, Guerinot ML, Fettt J, Lou M. A novel iron-regulated metal transporter from plants identified by functional expression in yeast. Proc Natl Acad Sci. 2014;93:5624–8.
Morrissey J, Baxter IR, Lee J, Li L, Lahner B, Grotz N, et al. The ferroportin metal efflux proteins function in iron and cobalt homeostasis in Arabidopsis. Plant Cell. 2009;21:3326–38.
Morel M, Crouzet J, Gravot A, Auroy P, Leonhardt N, Vavasseur ARP. AtHMA3, a P1B-ATPase allowing Cd/Zn/Co/Pb vacuolar storage in Arabidopsis 1. Plant Physiol. 2009;149:894–904.
Yoneyama T, Ishikawa S, Fujimaki S. Route and regulation of zinc, cadmium, and iron transport in rice plants (Oryza sativa L.) during vegetative growth and grain filling: metal transporters, metal speciation, grain cd reduction and zn and fe biofortification. Int J Mol Sci. 2015;16:19111–29.
Ishimaru Y, Bashir K. Zn uptake and translocation in rice plants. Rice. 2011;4:21–7.
Römheld V, Schaaf G. Iron transport in plants: future research in view of a plant nutritionist and a molecular biologist. Soil Sci Plant Nutr. 2004;50:1003–12. https://0-doi-org.brum.beds.ac.uk/10.1080/00380768.2004.10408567.
Sinclair SA, Kraemer U. The Zinc homeostasis network of land plants. Biochim Biophys Acta. 2012;1823:1553–67.
Kumar A, Kaur G, Goel P, Bhati KK, Kaur M, Shukla V, et al. Genome-wide analysis of oligopeptide transporters and detailed characterization of yellow stripe transporter genes in hexaploid wheat. Funct Integr Genomics. 2019;19:75–90. https://0-doi-org.brum.beds.ac.uk/10.1007/s10142-018-0629-5.
Haydon MJ, Cobbett CS. A novel major facilitator superfamily protein at the tonoplast influences zinc tolerance and accumulation. Plant Physiol. 2007;143:1705–19.
Ricachenevsky FK, Sperotto RA, Menguer PK, Sperb ER, Lopes KL, Fett JP. ZINC-INDUCED FACILITATOR-LIKE family in plants: lineage-specific expansion in monocotyledons and conserved genomic and expression features among rice (Oryza sativa) paralogs. BMC Plant Biol. 2011;11:20. https://0-doi-org.brum.beds.ac.uk/10.1186/1471-2229-11-20.
Haydon MJ, Kawachi M, Wirtz M, Hillmer S, Kra U. Vacuolar nicotianamine has critical and distinct roles under iron deficiency and for zinc sequestration in Arabidopsis. Plant Cell. 2012;24:724–37.
Nozoye T, Nagasaka S, Kobayashi T, Takahashi M, Sato Y, Sato Y, et al. Phytosiderophore efflux transporters are crucial for iron acquisition in graminaceous plants. J Biol Chem. 2011;286:5446–54. https://0-doi-org.brum.beds.ac.uk/10.1074/jbc.M110.180026.
Nozoye T, Nagasaka S, Kobayashi T, Sato Y, Uozumi N, Nakanishi H, et al. The phytosiderophore efflux transporter TOM2 is involved in metal transport in rice. J Biol Chem. 2015;290:27688–99. https://0-doi-org.brum.beds.ac.uk/10.1074/jbc.M114.635193.
Díaz-Benito P, Banakar R, Rodríguez-Menéndez S, Capell T, Pereiro R, Christou P, et al. Iron and zinc in the embryo and endosperm of rice (Oryza sativa L.) seeds in contrasting 2′-deoxymugineic acid/nicotianamine scenarios. Front Plant Sci. 2018;9:1190. https://0-doi-org.brum.beds.ac.uk/10.3389/fpls.2018.01190.
Remy E, Cabrito TR, Baster P, Batista RA, Teixeira MC, Friml J, Sa-Correia I, Duque P. A major facilitator superfamily transporter plays a dual role in polar auxin transport and drought stress tolerance in Arabidopsis. Plant Cell. 2013;25:901–26.
Connorton JM, Jones ER, Rodríguez-Ramiro I, Fairweather-Tait S, Uauy C, Balk J. Wheat vacuolar iron transporter TaVIT2 transports Fe and Mn and is effective for biofortification. Plant Physiol. 2017;174:2434–44. https://0-doi-org.brum.beds.ac.uk/10.1104/pp.17.00672.
Singh SP, Keller B, Gruissem W, Bhullar NK. Rice NICOTIANAMINE SYNTHASE 2 expression improves dietary iron and zinc levels in wheat. Theor Appl Genet. 2017;130:283–92.
Aggarwal S, Kumar A, Bhati KK, Kaur G, Shukla V, Tiwari S, et al. RNAi-mediated downregulation of inositol pentakisphosphate kinase (IPK1) in wheat grains decreases phytic acid levels and increases Fe and Zn accumulation. Front Plant Sci. 2018;9:1–12. https://0-doi-org.brum.beds.ac.uk/10.3389/fpls.2018.00259.
Gillies SA, Futardo A, Henry RJ. Gene expression in the developing aleurone and starchy endosperm of wheat. Plant Biotechnol J. 2012;10:668–79.
Pearce S, Tabbita F, Cantu D, Buffalo V, Avni R, Vazquez-gross H, et al. Regulation of Zn and Fe transporters by the GPC1 gene during early wheat monocarpic senescence. BMC Plant Biol. 2014;14:1–23.
Feigl G, Lehotai N, Molnar A, Ordog A, Rodrıguez-Ruiz M, Palma JM, Corpas J, Erdei L, Kolbert Z. Zinc induces distinct changes in the metabolism of reactive oxygen and nitrogen species (ROS and RNS) in the roots of two Brassica species with different sensitivity to zinc stress. Ann Bot. 2015;116:613–25.
Briat J, Rouached H, Tissot N, Gaymard F, Dubos C. Integration of P, S, Fe, and Zn nutrition signals in Arabidopsis thaliana: potential involvement of PHOSPHATE STARVATION. Front Plant Sci. 2015;6:1–16.
Kobayashi T, Ogo Y, Itai RN, Nakanishi H, Takahashi M, Mori S, et al. The transcription factor IDEF1 regulates the response to and tolerance of iron deficiency in plants. Proc Natl Acad Sci. 2007;104:19150–5. https://0-doi-org.brum.beds.ac.uk/10.1073/pnas.0707010104.
Kaur G, Shukla V, Kumar A, Kaur M, Goel P, Singh P, et al. Integrative analysis of hexaploid wheat roots identifies signature components during iron starvation. J Exp Bot. 2019. https://0-doi-org.brum.beds.ac.uk/10.1093/jxb/erz358.
Remy E, Cabrito R, Batista RA, Teixeira MC, Sa I, Duque P. The major facilitator superfamily transporter ZIFL2 modulates cesium and potassium homeostasis in Arabidopsis. Plant Cell Physiol. 2015;56:148–62.
Simmons CR, Fridlender M, Navarro PA, Yalpani N. A maize defense-inducible gene is a major facilitator superfamily member related to bacterial multidrug resistance efflux antiporters. Plant Mol Biol. 2003;52:433–46.
Marchler-bauer A, Lu S, Anderson JB, Chitsaz F, Derbyshire MK, Deweese-scott C, et al. CDD: a Conserved Domain Database for the functional annotation of proteins. Nucleic Acids Res. 2011;39:225–9.
Kumar S, Nei M, Dudley J, Tamura K. NIH Public Access. Br Bioinform. 2009;9:299–306.
Bailey TL, Boden M, Buske FA, Frith M, Grant CE, Clementi L, et al. MEME SUITE: tools for motif discovery and searching. Nucleic Acids Res. 2009;37:1–7.
Hu B, Jin J, Guo A, Zhang H, Luo J. Genome analysis GSDS 20: an upgraded gene feature visualization server. Bioinformatics. 2015;31:1296–7.
Horton P, Park K, Obayashi T, Fujita N, Harada H, Nakai K. WoLF PSORT: protein localization predictor. Nucleic Acids Res. 2007;35:585–7.
Bhatnagar T, Sachdev A, Johari RP. Molecular characterization of glutenins in wheat varieties differing in chapati quality characteristics. J Plant Biochem Biotechnol. 2002;11:33–6. https://0-doi-org.brum.beds.ac.uk/10.1007/BF03263131.
Singh A, Mantri S, Sharma M, Chaudhury A, Tuli R, Roy J. Genome-wide transcriptome study in wheat identified candidate genes related to processing quality, majority of them showing interaction (quality × development) and having temporal and spatial distributions. BMC Genomics. 2014;15:29. https://0-doi-org.brum.beds.ac.uk/10.1186/1471-2164-15-29.
Hoagland DR. The water-culture method for growing plants without soil. The College of Agriculture; 1950.
Bhati KK, Aggarwal S, Sharma S, Mantri S, Singh SP, Bhalla S, et al. Plant science differential expression of structural genes for the late phase of phytic acid biosynthesis in developing seeds of wheat (Triticum aestivum L). Plant Sci. 2014;224:74–85. https://0-doi-org.brum.beds.ac.uk/10.1016/j.plantsci.2014.04.009.
Shukla V, Kaur M, Sipla A, Bhati KK, Kaur J. Tissue specific transcript profiling of wheat phosphate transporter genes and its association with phosphate allocation in grains. Sci Rep. 2016;6:1–12.
Livak KJ, Schmittgen TD. Analysis of relative gene expression data using real-time quantitative PCR and the 2−∆CCT method. Methods. 2001;408:402–8.
Oono Y, Kobayashi F, Kawahara Y, Yazawa T, Handa H, Itoh T. Characterisation of the wheat (Triticum aestivum L.) transcriptome by de novo assembly for the discovery of phosphate starvation-responsive genes: gene expression in Pi-stressed wheat. BMC Genomics. 2013;14:1. https://0-doi-org.brum.beds.ac.uk/10.1186/1471-2164-14-77.
Liu Z, Xin M, Qin J, Peng H, Ni Z, Yao Y, et al. Temporal transcriptome profiling reveals expression partitioning of homeologous genes contributing to heat and drought acclimation in wheat (Triticum aestivum L). BMC Plant Biol. 2015;15:152. https://0-doi-org.brum.beds.ac.uk/10.1186/s12870-015-0511-8.
Kugler KG, Siegwart G, Nussbaumer T, Ametz C, Spannagl M, Steiner B, et al. Quantitative trait loci-dependent analysis of a gene co-expression network associated with Fusarium head blight resistance in bread wheat (Triticum aestivum L). BMC Genomics. 2013;14:728.
Yang F, Li W, Jørgensen HJL. Transcriptional reprogramming of wheat and the hemibiotrophic pathogen Septoria tritici during two phases of the compatible interaction. PLoS ONE. 2013;8:1–15.
Zhang L, Zhang L, Xia C, Zhao G, Jia J, Kong X. The novel wheat transcription factor TaNAC47 enhances multiple abiotic stress tolerances in transgenic plants. Front Plant Sci. 2016;6:1–12.
The authors thank Executive Director, NABI for facilities and support. This research was funded by the NABI-CORE grant to AKP. Thanks to Dr. Bhupinder Singh, IARI for discussion related to this work. Thanks to the International Wheat Genome Sequencing Consortium for providing the high-quality wheat genome resources.
NABI-CORE (Department of Biotechnology, India) grant to AKP. The funding body did not play any role in the design of the study and collection, analysis, and interpretation of data and in writing the manuscript.
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List of 179 wheat sequence IDs extracted for MFS_1 family, Pfam ID: PF07690 using ensembl wheat database.
Neighbor-Joining (NJ) tree for MFS_1 family of proteins from Oryza sativa, Brachypodium distachyon, Zea mays and Triticum aestivum constructed using MEGA7.0 software with a bootstrap replicate value of 1000. The phylogenetic tree shows ZIFL proteins clustering into a distinct clade within the MFS family. Figure S2. Alignments for signature sequences specific for ZIFL proteins, namely, ZIFL MFS signature motif, the anti-porter signature, Cys-containing, His-containing signatures. Figure S3. Gene expression analysis of wheat ZIFL transcript during grain development. qRT-PCR analysis of putative wheat TOM genes: TaZIFL4.1, TaZIFL4.2, TaZIFL5, TaZIFL7.1 and TaZIFL7.2. qRT-PCR was performed on cDNA prepared from 2 µg of total RNA as mentioned in methods. Fold expression levels were calculated relative to 7 days after anthesis (DAA) tissue. Figure S4. Heat-map depicting relative differential expression of putative wheat ZIFL genes under various abiotic and biotic stresses: a. Heat maps of TaZIFL genes under various abiotic (Phosphate starvation, Drought, Heat and Drought-Heat). b. Biotic stresses (Fusarium heat blight, Septoria tritici, stripe Rust and Powdery mildew). Heat-maps were generated using fold change values obtained after processing the expression values from expVIP database. Green color represents down-regulation, black represents no change and red color represents up-regulation. Figure S5. Gene expression analysis of wheat ZIFL transcript in root during Fe deficiency. Heatmap showing expression for putative TaZIFL genes in roots of control and 20 days post Fe deficiency. Heatmap was generated using MeV software based on the expression values calculated from NCBI Project ID PRJNA529036 . Black to red color change depicts increasing expression, as shown by the color bar.
Detailed information for 35 putative wheat ZIFLs identified. Table includes gene IDs, chromosomal locations, CDS and protein lengths, molecular weight and pI for each of the obtained putative TaZIFLs.
Conserved motifs identified in putative TaZIFL proteins using MEME. The consensus sequence logo, e-values and the number of sequences in which each motif was found are listed.
ZIFL Signature motifs (Cys, His, MFS and MFS antiporter) and their locations in all wheat ZIFL proteins. The motif positions were mapped to the TM-HMM predicted TaZIFL protein structures to obtain the location of motifs.
Cis-elements of wheat ZIFL genes along with their positions in the promoter. HMRE—heavy metal responsive element, IRO2—iron related transcription factor 2, MRE: metal responsive element, IDE1: iron-deficiency responsive element binding factor 1.
Table listing the details and expression values extracted from expVIP for different developmental stages and tissues, as well as fold change values obtained after processing the TPM values for the stress conditions (Abiotic stress: phosphate deficiency; heat, drought, combined heat-drought stress, & Biotic stress: Fusarium heat blight, Septoria tritici, stripe Rust and Powdery mildew).
List of the primers used during the current study.
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Sharma, S., Kaur, G., Kumar, A. et al. Overlapping transcriptional expression response of wheat zinc-induced facilitator-like transporters emphasize important role during Fe and Zn stress. BMC Molecular Biol 20, 22 (2019). https://0-doi-org.brum.beds.ac.uk/10.1186/s12867-019-0139-6
- Micronutrient uptake
- Triticum aestivum L.
- Zinc transport
- Iron deficiency