Genome-wide survey of HMA gene family and its characterization in wheat (Triticum aestivum)
- Published
- Accepted
- Received
- Academic Editor
- Anis Shah
- Subject Areas
- Agricultural Science, Bioinformatics, Biotechnology, Genetics, Plant Science
- Keywords
- Bioinformatics, Genome-wide analysis, Heavy metal toxicity, HMA gene family, Phylogenetic analysis
- Copyright
- © 2023 Zahra et al.
- Licence
- This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.
- Cite this article
- 2023. Genome-wide survey of HMA gene family and its characterization in wheat (Triticum aestivum) PeerJ 11:e14920 https://doi.org/10.7717/peerj.14920
Abstract
Background
Abiotic stresses, particularly drought and heavy metal toxicity, have presented a significant risk to long-term agricultural output around the world. Although the heavy-metal-associated domain (HMA) gene family has been widely explored in Arabidopsis and other plants, it has not been thoroughly studied in wheat (Triticum aestivum). This study was proposed to investigate the HMA gene family in wheat.
Methods
To analyze the phylogenetic relationships, gene structure, gene ontology, and conserved motifs, a comparative study of wheat HMA genes with the Arabidopsis genome was performed.
Results
A total of 27 T. aestivum proteins belonging to the HMA gene family were identified in this study, with amino acid counts ranging from 262 to 1,071. HMA proteins were found to be grouped into three subgroups in a phylogenetic tree, and closely related proteins in the tree showed the same expression patterns as motifs found in distinct subgroups. Gene structural study elucidated that intron and exon arrangement differed by family.
Conclusion
As a result, the current work offered important information regarding HMA family genes in the T. aestivum genome, which will be valuable in understanding their putative functions in other wheat species.
Introduction
Wheat (T. aestivum L.), a major food crop worldwide, is cultivated on nearly 20% of agricultural land and serves as a significant source of food for 30% of the world’s population (Vasil, 2007). The global wheat output (growth and yield) is adversely influenced by environmental stresses such as water scarcity and toxic metals, etc. (Javed et al., 2016). Plants have evolved a variety of adaptation strategies, to protect themselves from harsh environmental conditions (Raza et al., 2019). Plant biologists have long been fascinated by the regulation and expression of many genes for improved crop resilience to biotic and abiotic stresses, along with increased productivity. Drought and heavy metal toxicity are among the abiotic stresses that have posed a severe threat to crop yield globally (Bari et al., 2018). Drought is one of the most common stresses in heavy metal contaminated environments (Barceló & Poschenrieder, 2004) and causes a variety of biochemical and physiological changes in plants (Zahra et al., 2021a). Heavy metal accumulation and transportation to grain has a detrimental effect on human health as well. Therefore, it is pivotal to understand the mechanism of metal accumulation and transport in the grain to mitigate this phenomenon (Ahmad et al., 2018).
Plants selectively sense environmental stimuli and resultantly activate signaling cascades to assemble an overall response for their survival, which is mediated by complex signaling networks (Cappetta et al., 2020). Heavy metal associated (HMA) protein, familiar as P1B-ATPase, participates in absorbing and transporting heavy metal ions (Cu2+, Co2+, Zn2+, Pb2+ and Cd2+) by combining ATP hydrolysis with metal ion transport across membranes (Imran et al., 2016; Zhang et al., 2021). Currently, the number of identified HMA genes are eight in A. thaliana, nine in rice (Oryza sativa L.), 11 in sorghum (Sorghum bicolor L.), 11 in maize (Zea mays L.), 20 in soybean (Glycine max L.), 17 in Populus trichocarpa and 21 in barley (Hordeum vulgare L.) (Zhang et al., 2021). HMA domain genes are vital for the spatiotemporal transit of metal ions that bind to several enzymes and cofactors throughout the cell (He et al., 2020). It is worth noting that HMA affects not only heavy metal transport but also plant growth and development (Grispen et al., 2011).
Wheat is sensitive to heavy metals. Heavy metals trigger different responses in wheat, leading to yield losses in wheat (Rizvi et al., 2020). However, data regarding this gene family in hexaploid wheat is scanty. Limited similarities have been found in the mechanisms of both drought and heavy metal tolerance strategies in plants (Islam & Sandhi, 2022). Signaling pathways activate proteins that make transporters, proteases, ROS detoxifying enzymes (alternative oxidase, glutathione peroxidase, glutathione reductase, copper-zinc superoxide dismutase, glutathione S transferase and chaperones (Zhang & Sonnewald, 2017)), which help plants to ameliorate stress. Under abiotic and biotic stress, the molecular processes and signal transduction pathways of the HMA family of genes, their function in shielding plants from pathogens and environmental stresses are currently poorly known. However, abiotic stress is intimately linked to the HMA gene family (He et al., 2020). In a previous study, the expression of the yeast AcHMA1 gene improved yeast cell’s resilience to stresses such as drought, alkali, salt, and oxygen (Sun et al., 2014).
Several HMA genes were found to play different roles in various species of plants, as OsHMA2 is linked to zinc loading in vascular tissue and tonoplast localization in rice (Yamaji et al., 2013). OsHMA3, which is found in tonoplasts, transports Cd to the roots, whereas OsHMA4 transports copper (Huang et al., 2016; Zhang et al., 2021). HvHMA1 aids in the transfer of zinc and cadmium into barley grain (Mikkelsen et al., 2012). There are evidences that HMAs play a vital role in heavy metal transmembrane trafficking. However, little is known about HMAs in wheat. This study reports a complete identification of HMA genes in wheat including syntenic examination, gene structures analysis, and conserved motif analysis. This study may lay the foundation for further investigate the putative functions of the HMA gene family in wheat.
Materials and Methods
Retrieval of protein sequences
HMA protein sequences of Arabidopsis (Table 1) and wheat (Table 2) were retrieved from the NCBI database (http://www.ncbi.nlm.nih.gov/). These sequences were further verified from The Arabidopsis Information Resources (TAIR) (http://www.arabidopsis.org/index.jsp) while the Phytozome database of wheat (T. aestivum) was used to confirm these proteins in wheat using online server (https://phytozome.jgi.doe.gov/).
S. No. | Gene name | Transcript name | Gene ID | Translation length (a.a) | Protein accession no. | Chr. | Subcellular location | Strand |
---|---|---|---|---|---|---|---|---|
1. | HMA1 | AT4G37270.1 | 19648322 | 819 | NP_195444.1 | 4 | Plasma membrane | Reverse |
2. | HMA2 | AT4G30110.1 | 19643720 | 951 | NP_001320088.1 | 4 | Plasma membrane | Reverse |
3. | HMA3 | AT4G30120.1 | 19645860 | 542 | NP_001328455.1 | 4 | Plasma membrane | Reverse |
4. | HMA4 | AT2G19110.1 | 19641614 | 1,172 | NP_179501.1 | 2 | Plasma membrane | Forward |
5. | HMA5 | AT1G63440.1 | 19650287 | 995 | NP_176533.1 | 1 | Chloroplast | Forward |
6. | HMA6.1 | AT4G33520.2 | 19645604 | 949 | NP_974675.1 | 4 | Chloroplast | Forward |
7. | HMA6.2 | AT4G33520.3 | 19645605 | 949 | NP_974676.1 | 4 | Plasma membrane | Forward |
8. | HMA7 | AT5G44790.1 | 19665355 | 1,001 | NP_199292.1 | 5 | Chloroplast | Reverse |
9. | HMA8 | AT5G21930.1 | 19665627 | 883 | NP_001237371.2 | 5 | Chloroplast | Forward |
10. | HMA8.2 | AT5G21930.2 | 19665628 | 883 | NP_001031920.1 | 5 | Plasma membrane | Forward |
S. No. | Gene name | Transcript name |
Gene ID | Translation length (a.a) | Protein accession no. | Chr. | Subcellular location | Strand |
---|---|---|---|---|---|---|---|---|
1. | HMA1 | Traes_2AL_D0EABF355.2 | 31873047 | 863 | KAF7003072.1 | 2A | Plasma membrane | Forward |
2. | HMA2 | Traes_2BL_19B3E60AA.1 | 31802866 | 845 | KAF7010487.1 | 2B | Plasma membrane | Forward |
3. | HMA3 | Traes_2DL_51FF05F66.1 | 32015465 | 888 | KAF7017839.1 | 2D | Plasma membrane | Reverse |
4. | HMA4 | Traes_4AS_622EEFE10.2 | 31758612 | 648 | KAF7041053.1 | 4A | Chloroplast | Forward |
5. | HMA5 | Traes_4BL_89775421A.2 | 31775420 | 262 | KAF7050535.1 | 4B | Extracellular | Forward |
6. | HMA6 | Traes_4DL_385639507.1 | 31802013 | 604 | KAF7029642.1 | 4D | Chloroplast | Reverse |
7. | HMA7 | Traes_5AL_C89EEBE50.2 | 31899687 | 558 | XP_044438068.1 | 5A | Chloroplast | Reverse |
8. | HMA8 | Traes_5BL_D6C3DC326.1 | 31786522 | 829 | XP_044401945.1 | 5B | Plasma membrane | Reverse |
9. | HMA9 | Traes_5BL_F83C809F0.1 | 31807288 | 458 | XP_044424302.1 | 5B | Cytoplasmic | Forward |
10. | HMA10 | Traes_5DL_91C1891D3.1 | 31858473 | 632 | KAF7074611.1 | 5D | Plasma membrane | Forward |
11. | HMA11 | Traes_6AS_6F306F27E.1 | 31768608 | 974 | KAF7089256.1 | 6A | Cytoplasmic | Forward |
12. | HMA12 | Traes_6AS_9321C1C5B.2 | 31961570 | 1,074 | KAF7084039.1 | 6A | Plasma membrane | Reverse |
13. | HMA13 | Traes_6BS_9A12C2A1D.1 | 31766484 | 837 | KAF7098168.1 | 6B | Plasma membrane | Froward |
14. | HMA14 | Traes_6BS_A8B960E60.1 | 31836000 | 813 | XP_044412145.1 | 6B | Cytoplasmic | Reverse |
15. | HMA15 | Traes_6DS_26C5A0A44.1 | 31904930 | 980 | KAF7084123.1 | 6D | Plasma membrane | Forward |
16. | HMA16 | Traes_6DS_9FA053DF8.2 | 31748333 | 862 | KAF7098167.1 | 6D | Plasma membrane | Reverse |
17. | HMA17 | Traes_7AL_7A2639A1B.2 | 31943896 | 916 | XP_044424773.1 | 7A | Plasma membrane | Forward |
18. | HMA18 | Traes_7AL_8304348B7.1 | 32021814 | 790 | KAF7097469.1 | 7A | Extracellular | Forward |
19. | HMA19 | Traes_7DL_A5269C73F.2 | 31916999 | 1,061 | KAF110499.1 | 7D | Plasma membrane | Reverse |
20. | HMA20 | Traes_7BS_8EC4B41E4.1 | 31834193 | 737 | KAF7100926.1 | 7B | Chloroplast | Forward |
21. | HMA21 | Traes_7DS_04F16455B.1 | 31749939 | 804 | XP_044426682.1 | 7D | Plasma membrane | Reverse |
22. | HMA22 | Traes_7AS_766146E70.1 | 31803725 | 806 | KAF7095199.1 | 7A | Plasma membrane | Reverse |
23. | HMA23 | Traes_7BL_EFF0E2E31.1 | 31766590 | 718 | XP_037446570.1 | 7B | Chloroplast | Reverse |
24. | HMA24 | Traes_7DL_DF97DD324.1 | 31923629 | 959 | XP_020190440.1 | 7D | Chloroplast | Forward |
25. | HMA25 | Traes_7BL_041308E74.3 | 31832822 | 636 | XP_037464768.1 | 7B | Plasma membrane | Reverse |
26. | HMA26 | Traes_7AL_84D5BAE85.1 | 31955716 | 638 | XP_037460689.1 | 7A | Plasma membrane | Forward |
27. | HMA27 | Traes_7DL_271C7BED5.1 | 31915788 | 500 | XP_020187387.1 | 7D | Chloroplast | Forward |
Protein BLAST (Blastp) tool of NCBI was used to find similar sequences in wheat, using 50% identity as a threshold. Further, the motif finder online tool (https://www.genome.jp/tools/motif/) was used to confirm that these genes contain HMA domains. Peptide sequences not possessing HMA domains were deleted.
Determination of HMA protein properties
Different protein properties such as peptide length (a.a), DNA strand, chromosomal location, transcript ID, and subcellular locations were described in wheat while using Arabidopsis as model genome using online tools Expasy (https://web.expasy.org/protparam/) and plant Ensemble tool (https://plants.ensembl.org/).
Sequence alignment and construction of phylogenetic tree
Full-length sequences of HMA proteins of Arabidopsis and wheat were aligned using ClustalX (Thompson et al., 1997) and were used for the construction of phylogenetic tree according to the neighbor-joining method of Saitou & Nei (1987) at 1,000 bootstrap value using the MEGA7 tool (Katsu et al., 2021).
Gene structure analysis
To observe the pattern of exon and intron organization in the HMA gene family, an online tool, gene structure display server GSDS 2.0 (http://gsds.cbi.pku.edu.cn/) was used. CDS and genomic sequences of wheat and Arabidopsis were used as input files however the default parameters of the tool remained unchanged.
Conserved motif analysis
Conserved motifs and HMA proteins were analyzed using the online tool MEME SUITE version 4.8.2 (https://meme-suite.org/meme/doc/release-notes.html) according to the method described by Li & Dewey (2011). These motifs were illustrated in the corresponding branch of the phylogenetic tree. Default parameters set were, a maximum number of motifs = 10, minimum motif width = 6 and maximum motif width = 50, minimum sites per motif = 2, and maximum sites per motif = 37.
Prediction of subcellular location
Subcellular locations of HMA proteins in wheat were determined using the tool WoLF PSORT (https://wolfpsort.hgc.jp/). An excel sheet was prepared to present the information about gene names and their location and their 14 nearest neighbors using the WoLF PSORT data and then TBTool (Guo et al., 2007) was used to create the heatmap.
Synteny analysis
An online tool of synteny viewer tool (tools.bat.infspire.org/circoletto/) was used to find the evolutionary relationship between Wheat and Arabidopsis HMA proteins. Protein sequences of all the HMA downloaded proteins were used as input files to compare the wheat genome with Arabidopsis using default parameters (Darzentas, 2010).
Identification of homologous pairs and calculating Ks/Ka values
Homologous pairs of HMA genes were manually selected from the phylogenetic tree and Ks/Ka values were calculated using TBTool using genomic sequences, protein sequences, and gene duplication pairs as input files.
Results
Sequencing of the wheat genome has made it possible to identify the HMA genes in this important cereal crop. The HMA gene family was not previously characterized in wheat. Therefore, we selected HMA gene family and performed genome wide survey in wheat (T. aestivum). We used Arabidopsis HMA proteins using the blastp tool to find similar sequences in wheat. A total of 27 genes of the HMA gene family were found in wheat in this study.
Characteristics of Arabidopsis HMA proteins
In Arabidopsis HMA gene family was comprised of 10 members. In Arabidopsis HMA genes were located on all the chromosomes except chromosome 3. Amino acid length of HMA proteins was ranged from 542 to 1,172 (Table 1). The subcellular location analysis indicated that six HMA proteins were present in the plasma membrane and four in the chloroplast. Four genes were located on reverse strand and six on the forward strand.
We identified 27 HMA proteins in wheat. Gene location indicated that wheat HMA genes were present on the 4th, 5th, 6th, and 7th chromosomes. Out of 27 proteins, 15 were present in the plasma membrane, 10 in the chloroplast, and two in extracellular locations. Seventeen proteins were present on the forward strand and 10 on the reverse strand. Amino acid length of wheat HMA proteins ranged from 262 to 1,071 (Table 2).
Sequence alignment and phylogenetic association
Full-length HMA protein sequences from wheat and Arabidopsis obtained from different databases were used to construct the phylogenetic tree to assess the phylogenetic association among both plant species. The phylogenetic tree indicated that HMA proteins were distributed in three subgroups. Clad one was the largest subgroup containing 14 proteins that were belonging to both species, second clad consisted of 11 members and third clad was comprised of 13 members (Fig. 1).
Gene structure analysis
To predict the exon-intron organization in wheat and Arabidopsis HMA genes, CDS and genomic DNA were used as input files. The organization pattern of intron/exons in HMA genes was displayed to the relative branch in the phylogenetic tree. It was observed that several introns and exons varied among these genes. Arabidopsis genes ATG33520.2 and ATG33520.3 showed the largest number of exons (17) whereas four wheat genes showed the fewest (five) exons. Further, it was observed that closely related members in a subclass showed similar intron-exon pattern (Fig. 2).
Conserved motif analysis
To predict the conserved domains in wheat and Arabidopsis HMA proteins, motif analysis was performed. Ten distinct motifs were discovered in both plant species. We selected the motif width from 10 to 50 as default parameters however it was noted that motif width was ranging from 40 to 50 indicating that highly conserved regions in HMA proteins were present. Each motif was displayed to the concerned protein on the phylogenetic tree to explore the motif pattern according to the phylogenetic association. It was noted that closely linked proteins in phylogenetic tree were showing the same expression pattern as the motifs falling in different subgroups of tree (Fig. 3). Our results regarding the conservation of motifs within subgroups were supported by previous studies on different gene families (Azeem et al., 2018; Waqas et al., 2019).
Prediction of subcellular locations
Subcellular locations of 27 HMA proteins were predicted in various subcellular components such as nucleus, plasma membrane, cytoplasm, vacuole, endoplasmic reticulum, chloroplast, golgi bodies, mitochondria, and extracellular locations. Results indicated that most of the proteins were present in plasma membranes followed by endoplasmic reticulum and vacuoles whereas lowest proteins were located on extracellular locations and golgi bodies (Fig. 4).
Synteny analysis
The evolutionary link of Arabidopsis HMA genes with wheat genes was assessed through a micro-syntenic tool. It was concluded that most of the wheat HMA genes and Arabidopsis HMA genes have similar evolutionary origin (Fig. 5). Traes.7AS.766146E70.1 and Traes.7DS.04F16455B.1 were originated from Arabidopsis gene AT4G33520.2. Similarly, Arabidopsis gene AT4G30110.1 gave rise to wheat Traes_5BL_D6C3DC326.1, Traes_7AL_8304348B7.1 and Traes_7BS_8EC4B41E4.1. Traes_6DS_9FA053DF8.2, Traes_7DL_DF97DD324.1, Traes_7AL_7A2639A1B.2, Traes_6BS_9A12C2A1D.1 and Traes_7BL_EFF0E2E31.1 were evolutionary originated from AT2G19110.1.
Gene ontology
GO analysis was used to describe the functions of a gene such as involvement in biological processes, molecular activities of the gene products, and location of these activities. GO analysis indicated that HMA genes were mainly involved in metabolic processes, single-organism process, localization establishment, single organism transport, metal ion, ion, and cation transport (Fig. 6). Molecular functions of HMA genes observed through GO tools indicated that these genes are mainly involved in various types of binding activities. The percentage of binding with different compounds is shown in Fig. 7. HMA genes mainly bind with organic cyclic compounds, heterocyclic compounds, ion binding, nucleotides, and nucleoside bindings.
Ka/Ks ratio determines the ratio of beneficial mutations and neutral mutations present on a set of homologous genes. This ratio also indicates the net balance between beneficial and deleterious mutations. Six gene pairs were duplicated in wheat belonging to the HMA family. Ka, Ks, and Ka/Ks ratio was calculated using TBtool. The ratio of Ka/Ks value in the Table 3 indicated that all the six homologous pairs showed a value less than one. Ka/Ks greater than one expressed positive selection, less than one indicates purified/stable selection and equal to one indicates neutral selection. Hence according to results, Ka/Ks value of all the pairs is below one which means HMA genes have the stable and purifying selection.
S. No. | Seq_1 | Seq_2 | Ka | Ks | Ka/Ks | T (MYA) |
---|---|---|---|---|---|---|
1. | Traes_7AL_7A2639A1B.2 | Traes_7BL_EFF0E2E31.1 | 0.007469 | 0.118871 | 0.062836074 | 9.90589E−09 |
2. | Traes_7BS_8EC4B41E4.1 | Traes_7DS_04F16455B.1 | 0.008408 | 0.042414 | 0.1982277 | 3.53451E−09 |
3. | Traes_5AL_C89EEBE50.2 | Traes_5BL_F83C809F0.1 | 0.033487 | 0.10141 | 0.330218025 | 8.4508E−09 |
4. | Traes_7AL_84D5BAE85.1 | Traes_7DL_271C7BED5.1 | 0.001769 | 0.050569 | 0.03498181 | 4.21409E−09 |
5. | Traes_5BL_D6C3DC326.1 | Traes_5DL_91C1891D3.1 | 0.181692 | 0.332826 | 0.545906617 | 2.77355E−08 |
6. | Traes_7AL_8304348B7.1 | Traes_7DL_A5269C73F.2 | 0.007949 | 0.090577 | 0.087758967 | 7.54811E−09 |
Discussion
Abiotic stresses like drought and heavy metal toxicity have presented a severe challenge to global food production. The impacts of heavy metals on plants and their ability to withstand metal toxicity have been widely studied (Gao et al., 2020). The consequences of heavy metal stress on a plant’s ability to deal with other environmental difficulties, including water scarcity, have received less attention (Barceló & Poschenrieder, 2004). Previously, a mutation in HMA domain in the chimeric allele of the drought resistant wheat mutant NN1-M-700 was responsible for drought stress tolerance (Zahra et al., 2021b). Heavy-metal-associated domain (HMAD) has been found to have a variety of vital roles in Arabidopsis, and significant progress was achieved in identifying HMA genes in many other plants (Li et al., 2016; Sutkovic et al., 2016; Wu et al., 2019; Zhang et al., 2021). However, reports regarding this gene in hexaploid wheat are meager. In wheat and other crop species, the HMA gene family plays a significant role in heavy metal transport and abiotic stress tolerance (Wu et al., 2019).
Drought is known as one of the most prevalent strain in metal-contaminated ecosystems (Sitko et al., 2021). Various plant indicators are used to compare heavy metal exposure with drought stress, such as photosynthetic performance and stomatal behavior, photosynthetic pigment, proline, and peroxidase. Abiotic stress crosstalk includes the ROS (reactive oxygen species) signal and the antioxidant system, as well as drought stress and heavy metal stress (Khan, Ahmed & Shah, 2022). Metal-rich soils often have poor structure, reduced bacterial activity, and minimal organic matter content, resulting in inadequate moisture-holding capacity (Derome & Nieminen, 1998; Wang et al., 2007).Toxic metal exposure has also been shown to affect plant traits essential for plant-water associations, including abscisic acid (ABA) concentrations (Barceló & Poschenrieder, 1986), cell wall elasticity (Barceló & Poschenrieder, 1986), root elongation (Kahle, 1993), organic matter allocation to roots (Ryser & Emerson, 2007), and root permeability for water (Ryser & Emerson, 2007; Przedpelska-Wasowicz & Wierzbicka, 2011). Furthermore, in metal-exposed plants, hydraulic and stomatal conductance has been reported to be reduced (Lamoreaux & Chaney, 1977; Disante, Fuentes & Cortina, 2011). Similar findings were observed in EMS mutant lines of NN-1 wheat (NN1-M-363, NN1-M-506, NN1-M-700, NN1-M-701, and NN1-M-1621) (Zahra et al., 2021b). All of the above physiological processes may reduce water uptake in metal-stressed plants, aggravating the consequences of drought stress.
In the present research, we provided a complete overview of HMA gene family in wheat. Further, we analyzed the phylogenetic relationship, subcellular location, gene structure, conserved motifs, identification of homologous pairs, and Ka/Ks ratio under drought conditions. A plant’s sensitivity to various stresses cannot always be inferred from their responses to specific stresses (Mittler, 2006). Despite substantial study of the effects of drought and metals on plants as separate stimuli, experiments subjecting plants to both stresses at the same time are rare. For annual plants like wheat and rye (Klimov, 1985), sunflower (Krizek, Foy & Wergin, 1988), and barley (Krizek, Foy & Wergin, 1988), metal stress and drought stress have been demonstrated to have synergistic growth-reducing effects (Krizek, Foy & Wergin, 1988). In this study, the phylogenetic tree domenstrated six homologous pairs of HMA genes in the wheat genome. Similar findings were published in another study on wheat by (Zhou et al., 2019). According to gene ontology, the activity or action done by a gene product is determined by its molecular function. In general terms, a molecular function, is a process carried out by a single molecular mechanism through direct physical contact with other molecular entities.
Furthermore, the distribution pattern of intron and exon is a significant tool to study comparative genomics in order to acquire understanding about a gene family, because it supports the evolutionary link of a gene with its predecessors (Waqas et al., 2019). It was observed that several introns and exons varied among these genes. Arabidopsis genes ATG33520.2 and ATG33520.3 showed the largest number of exons (17) whereas four wheat genes showed the fewest (5) exons. Further, it was observed that closely related members in a subclass showed similar intron- exon pattern (Zhang et al., 2019). To check the significance of HMA proteins in plant growth and development, we examined their distribution in several subcellular components. Locations of twenty-seven identified HMA proteins were predicted in various subcellular components such as the nucleus, plasma membrane, cytoplasm, vacuole, endoplasmic reticulum, chloroplast, golgi bodies, mitochondria, and extracellular locations. These proteins were shown to be abundant in the plasma membrane, demonstrating their importance in metal ion transport. Our findings are comparable with those of Zhou et al. (2019), who showed similar results in wheat HMA proteins. Variances in gene structure among members of the same class may be due to differences in evolutionary history, and these proteins may have novel functional properties (Yang et al., 2019).
The current findings show that HMA proteins have a wide range of activities. It has also been shown that there is a phylogenetic specific pattern of conserved domains (Azeem et al., 2018; Waqas et al., 2019). This pattern of conserved motifs suggested that HMA genes shared a recent common ancestor. Furthermore, the occurrence of conserved motifs leads to functional conservation and gene duplication processes in plants (Waqas et al., 2019). In polyploids, gene and genome duplication is a dominant factor in the evolution of complexity and diversity. Conserved motifs also indicate the variety of domain design, which has been used to retain domains outside the key parts of HMA genes, and play a vital role in protein function (Du et al., 2013; Tan et al., 2020). Various HMA proteins including the A. thaliana AtHMA1 protein, were shown to be involved in zinc/cadmium transport and chloroplast copper mobilization (Moreno et al., 2008). Furthermore, HvHMA in barley grains (Mikkelsen et al., 2012), studies on expression of OsHMA1 in rice (Zhou et al., 2019), and analysis of Arabidopsis HMA2 gene (Eren & Arguello, 2004) shown their role in important cellular processes. In wheat, TaHMA2 is restricted to the plasma membrane and promotes Zn and Cd translocation from the root to the shoot (Tan et al., 2017).
Proteins from Arabidopsis (AtHMA3), rice (OsHMA3), and wheat (TaHMA3) are found in tonoplasts and are involved in transport of Zn and Cu to the vacuole (Zhang et al., 2021). In Brassica juncea, the HMA4 gene promotes heavy metal transport and binding, as well as increasing heavy metal resistance in yeast and E. coli (Wang et al., 2019). AtHMA5 mediates Cu transport from roots to the leaves or root detoxification (Zhou et al., 2019). Cu is transported to chloroplast envelope AtHMA6 (also known as PAA1), whereas it is transported into the thylakoid lumen to provide plastocyanin by AtHMA8 (PAA2) (Zhang et al., 2019). Cu is transported to ethylene receptors and Cu homeostasis in seedlings are mainly mediated by AtHMA7 (Binder, Rodríguez & Bleecker, 2010). Furthermore, studies with numerous species, including A. thaliana (Eren & Arguello, 2004), O. sativa (Huang et al., 2016), Noccaea caerulescens (Lochlainn et al., 2011), Sedum alfredii (Zhang et al., 2016), and Sedum plumbi zincicola (Liu et al., 2017) have reports on proteins like HMA2, HMA3, HMA4, HMA5 or HMA9.
Prior investigations have demonstrated that several similar proteins are engaged in the transport of different heavy metals and are responsible for the cross-tolerance process when combined with antioxidative enzymes. They assist plants in adapting to a wide range of stresses (Zschiesche et al., 2015; Cowan et al., 2018; Zhang et al., 2020). In Quercus suber and Coriandrum sativum L, however, the presence of large amounts of Zn and Cd reduced the impact of water stress on photosynthesis, stomatal conductance, and relative water content (Khan et al., 2021; Disante, Fuentes & Cortina, 2011). Metal contamination of the substrate decreased the effect of substrate moisture on white birch growth when the water supply was adequate (Santala & Ryser, 2009). The Ka/Ks ratio, also known as the dN/dS ratio, is the ratio of the number of nonsynonymous substitutions per nonsynonymous site (Ka) in a certain time period to the number of synonymous substitutions per synonymous site (Ks) in the same period. According to the current findings, the synonymous/nonsynonymous ratio was greater than one in all of the chosen homologous pairs, indicating that selection among HMA genes in wheat is stable and purified. However, because no data on HMA genes in wheat was previously available, the results were not compared.
Conclusions
In the current study, the comprehensive identification of HMA genes in wheat (T. aestivum L) along with their syntenic analysis, gene structure, conserved motifs analysis, and Ka/Ks values were investigated. The result revealed a total of 27 wheat proteins belonging to the HMA gene family, ranging in amino acid count from 262 to 1,071. The study examined the specific functions of the HMAD gene family in drought-stressed wheat. The phylogenetic tree revealed that HMA proteins were divided into three subgroups, with closely related proteins in the tree displaying the same expression pattern as motifs from different subgroups. Gene structural analysis revealed that intron and exon arrangement was family-specific. Our results offer a base for further investigation on the crosstalk of molecular mechanisms of HMA genes under abiotic stress and heavy metal conditions. In future, this research might be used to better describe the significance of the HMA gene family in wheat and other crops by manipulating stress responsive genes.