Abstract
Thaumatin-like proteins (TLPs) are related to pathogenesis-related-5 (PR-5) family and involved in stress response. Herein, a total of 93 TLP genes were identified in the genome of Triticum aestivum. Further, we identified 26, 27, 39, and 37 TLP genes in the Brachypodium distachyon, Oryza sativa, Sorghum bicolor, and Zea mays genomes for comparative characterization, respectively. They could be grouped into small and long TLPs with conserved thaumatin signature motif. Tightly clustered genes exhibited conserved gene and protein structure. The physicochemical analyses suggested significant differences between small and long TLPs. Evolutionary analyses suggested the role of duplication events and purifying selection in the expansion of the TLP gene family. Expression analyses revealed the possible roles of TLPs in plant development and abiotic and fungal stress response. Recombinant expression of TaTLP2-B in Saccharomyces cerevisiae provided significant tolerance against cold, heat, osmotic, and salt stresses. The results depicted the importance of TLPs in cereal crops that would be highly useful in future crop improvement programs.
Keywords: abiotic stress, biotic stress, cereals, thaumatin-like proteins, TaTLP2-B
Introduction
The growth and development of plants have always been affected by various abiotic and biotic stress conditions. In response to these stress conditions, plants produce numerous molecules including pathogenesis-related (PR) proteins (Kombrink and Somssich, 1997). PR proteins belong to a superfamily of defense-related proteins consisting of PR1-PR17 protein families that have been classified based on amino acid sequences, serological reaction, enzymatic activity, and so on (Christensen et al., 2002; van Loon et al., 2006).
Thaumatin-like proteins (TLPs) are related to the PR5 family of the PR superfamily (van Loon et al., 2006). These are called TLPs due to their significant similarity with a ∼23 kDa sweet-tasting protein known as thaumatin (Velazhahan et al., 1999). Thaumatin protein was first isolated from an African shrub known as Thaumatococcus danielli (van der Wel and Loeve, 1972). Over the period, TLPs have been reported in a diverse group of organisms including insects, nematodes, fungi, and plants (Sakamoto et al., 2006; Shatters et al., 2006; Liu et al., 2010a; Cao et al., 2016). In plants, TLPs are reported from algae to angiosperms (Liu et al., 2010a,b; Petre et al., 2011; Cao et al., 2016).
Based on the molecular weight (MW), TLP proteins are grouped as long (L-type) and small (S-type) TLPs, having the MW of ∼21–26 kDa and ∼16–17 kDa, respectively. Long TLPs have been identified from each group of plants, while small TLPs are confined to only gymnospermous and monocot plants (Liu et al., 2010a,b; Petre et al., 2011; Cao et al., 2016). A total of 16 and 10 conserved cysteine residues, forming eight and five disulfide linkages, are known to be present in long and small TLPs, respectively. These disulfide bonds provide resistance against extreme pH, heat, and protease degradation (Fierens et al., 2009; Liu et al., 2010a). Each TLP consists of a conserved REDDD motif and a thaumatin signature motif G-X-[GF]-X-C-X-T- [GA]-D-C-X- (1,2)-G-X-(2,3)-C. The REDDD motif is involved in receptor binding for its antifungal action (Liu et al., 2010a). Numerous studies reported that the overexpression of TLPs provides significant resistance against various fungi in both dicot and monocot plants (Datta et al., 1999; Rajam et al., 2007; Wang et al., 2010; Cui et al., 2021). The transgenic Arabidopsis thaliana with an overexpressing PR5 gene (ObTLP1) of Ocimum basilicum showed enhanced tolerance against Sclerotinia sclerotiorum and Botrytis cinerea (Misra et al., 2016). The improved resistance of transgenic wheat against common root rot and leaf rust has been observed in TaTLP1-overexpressing transgenic lines (Cui et al., 2021). The mechanism of action of TLPs in fungal resistance is ambiguous; however, it has been presumed that they work by degradation and permeabilization of the fungal cell walls (Abad et al., 1996; Liu et al., 2010a). Besides, TLPs are also known to be involved in antifreeze action and abiotic stress resistance in plants (Zhang and Shih, 2007; Li Z. et al., 2020). The overexpression of GhTLP19 in transgenic A. thaliana facilitated the plant with improved resistance against drought stress (Li Z. et al., 2020). Further, they are also reported to be involved in various development processes, for instance, flowering, fruit ripening, and seed germination (Neale et al., 1990; Salzman et al., 1998; Seo et al., 2008). Moreover, the upregulation of TLPs in response to ethylene, jasmonic acid, and salicylic acid treatment depicted their involvement in the hormonal signaling cascade (Yan et al., 2017; Li X. et al., 2020).
Despite utmost importance, a detailed characterization of TLPs is still limited in various cereal crops. Therefore, the current study aims at an inclusive characterization of TLPs in bread wheat, an important cereal crop. Besides, we have also performed a comparative analysis of various features of TLPs in other cereals including B. distachyon, O. sativa, S. bicolor, and Z. mays. Chromosomal distribution, phylogeny, physicochemical properties, gene duplication events (DEs), cis-regulatory elements, and gene and protein structural analyses were performed. To decipher their roles in plant development and under abiotic and biotic stresses, their expression analysis was performed using high throughput RNA-seq data. The expression of eight selected TaTLP genes was validated using qRT-PCR. An abiotic stress-responsive gene, TaTLP2-B, of Triticum aestivum was cloned and used for functional characterization in Saccharomyces cerevisiae (yeast) cells. Recombinant expression of TaTLP2-B provided significant tolerance to the yeast in spot assay against various abiotic stresses. The study will increase the knowledge about numerous TLP proteins and provide the base for the functional characterization of identified genes in future studies.
Materials and Methods
Plant Materials, Growth Conditions, and Stress Treatments
Surface sterilization of bread wheat seeds (cv. Chinese Spring) was done with the solution having 1.2% sodium hypochlorite in 10% ethanol. Thereafter, the seeds were washed carefully with the double autoclaved water. The sterilized seeds were kept overnight on moist Whatman filter papers at 4°C for stratification and were further kept at room temperature for germination. The seedlings were then transferred to fresh phytajars and were allowed to grow in plant growth chambers under 60% relative humidity, 22°C temperature, and a 16 and 8 hours (h) light and dark period, respectively (Lei et al., 2021). For the stress treatments, the 7-days-old seedlings were kept under heat (40°C), osmotic [20% Polyethylene glycol (PEG)], and combined heat and osmotic stress treatments (40°C and 20% PEG) for 6, 12, 24, and 48 h. Similarly, for salinity stress, 7-days-old seedlings were subjected to 150 mM NaCl treatment for 6, 12, 24, and 48 h. However, for the control plants, the seedlings grown in normal conditions were used. The plant samples including roots and shoots were collected at the interval of 6, 12, 24, and 48 h of stress treatments and stored at –80°C till further experiments. These stress conditions were selected based on the earlier reports. Further, the RNA seq data of T. aestivum used for the in silico expression analyses were generated under the same conditions (Liu et al., 2015; Zhang et al., 2016).
Identification and Nomenclature of the Thaumatin-Like Protein Genes
Extensive BLAST searches were used to identify the TLP proteins in five different cereals including B. distachyon, O. sativa, S. bicolor, T. aestivum, and Z. mays. Arabidopsis TLP sequences were used as a query against the protein model sequences of each crop downloaded from the Ensembl Plants (Petre et al., 2011; Sharma A. et al., 2020). The presence of the thaumatin (PF00314) domain was analyzed using the Hidden Markov Model (HMM) and Pfam BLAST searches at an e-value 10––10. Identified TLP sequences were further subjected to the NCBI Conserved Domain Database (CDD) BLAST to further confirm the presence of the thaumatin domain. The TLP proteins, having a complete thaumatin family signature, were selected for further analysis. The identified TLPs were named as per their sequence of occurrence at various chromosomes in each crop, except T. aestivum. The international rules for gene symbolization of T. aestivum1 were followed for the nomenclature of TaTLPs.
Chromosomal Localization and Duplication Events
Ensembl Plant2 was used for gathering the chromosomal and sub-genomic location of TLPs of all five crops. The homeologous TLP genes in T. aestivum were identified based on ≥ 90% sequence similarity and their occurrence at the related chromosomes. The MapInspect software was used for the graphical representation of TLP genes on their respective chromosomes.3 DEs were identified using a bidirectional blast hit approach with sequence similarity of ≥ 80%, while tandem and segmental DEs were segregated based on their distance and occurrence at respective chromosomes as per the previous studies (Shumayla et al., 2019).
Multiple Sequence Alignments, Phylogeny, and Structural Analysis
The Muscle and Multalin tools were used for the multiple sequence alignments of all the TLPs with a known thaumatin protein (P02883.2| THM1_THADA) to find the conserved residues (Corpet, 1988; Edgar, 2004). The phylogenetic tree was constructed by the maximum likelihood method with 1,000 bootstraps using the MEGA X software (Kumar et al., 2018).
Ka/Ks and Tajima’s Relativity Test
The alignment of the protein and nucleotide sequences of the paralogous gene pairs was done using the ClustalOmega server.4 The synonymous substitution per synonymous site (Ks), the non-synonymous substitution per non-synonymous site (Ka), and their ratio (Ka/Ks) were calculated using the PAL2NAL program (Suyama et al., 2006; Nagaraju et al., 2020). The calculation of the divergence time of each pair of duplicated genes was done using the formula T = Ks/2r, where T represents the divergence time and r represents the divergence rate. The divergence rate was assumed to be 6.5 × 10–9 for cereals (Gaut et al., 1996). The Tajima’s relativity test was performed to find out the evolutionary rate between paralogous genes (Tajima, 1993).
Gene Structure Organization
The genomic and coding DNA sequence (CDS) of identified TLP genes were used for the analysis of gene structure in terms of exon-intron organization and intron phases using the GSDS 2.0 server as done in earlier studies (Hu et al., 2015; Sharma H. et al., 2020).
Physicochemical Properties of the Thaumatin-Like Proteins
Various physicochemical characteristics such as peptide length, MW, and isoelectric point (pI) were analyzed using the ExPasy tool, which were further confirmed from the Ensembl plants and Sequence Manipulation Suite (Stothard, 2000; Gasteiger et al., 2005; Nussbaumer et al., 2013). Tools including CELLO v.2.5, ngLOC, ProtComp9, and WoLF PSORT were used for the prediction of subcellular localization of TLP proteins (Emanuelsson et al., 2000; Yu et al., 2006; Horton et al., 2007; King and Guda, 2007). Tools such as Phobius and DAS-TMfilter were used for the prediction of transmembrane regions (Cserzo et al., 2004; Käll et al., 2004). The signal peptides were detected using the tools Phobius and SignalP (Käll et al., 2004; Petersen et al., 2011). SMART server was used for the domain analysis, whereas, motifs were analyzed using MEME v.4.11.4 (Bailey et al., 2009; Letunic et al., 2015).
Cis-Regulatory Element Analysis
For cis-regulatory elements analysis, 1.5 kb upstream genomic sequences from the initiation codon were retrieved for each TLP gene. These promoter sequences were analyzed using the PLACE software (Higo et al., 1998). The identified cis-regulatory elements were categorized based on their functions.
Expression Profiling Using RNA-Seq Data
Expression analysis in various tissues of each crop was done using the high throughput RNA-seq data retrieved from the Unité de Recherche Génomique Info (URGI) database5 and Expression ATLAS (Choulet et al., 2014; Pingault et al., 2015; Papatheodorou et al., 2018). In T. aestivum, the expression data generated in replicates for various tissue developmental stages, under biotic (fungal pathogen) and abiotic (heat, osmotic and salt) stress conditions in various studies, were used (Zhang et al., 2014, 2016; Liu et al., 2015). Data available for three developmental stages of root, stem, leaf, spike, and grain were used to analyze the tissue-specific expression in wheat. Further, the RNA-seq data (PRJNA243835) available in triplicates after the 24, 48, and 72 h of inoculation of Blumeria graminis f. sp. tritici (Bgt) and Puccinia striiformis f. sp. tritici (Pst) in 7-days-old seedlings were used for the TaTLP expression analysis under biotic stress (Zhang et al., 2014). Under abiotic stress conditions, duplicate RNA-seq data (SRP045409) for 1 and 6 h of treatments of heat (40°C), osmotic (20% PEG 6000), and a combination of both heat and osmotic stresses were used to study the TaTLP expression (Liu et al., 2015). Moreover, Liu et al. (2015) used the term drought stress for PEG treatment, but in the current study, the term osmotic stress has been used for PEG treatment because it actually causes osmotic stress that leads to water stress. Root RNA-seq data (SRP062745) available in triplicates for the treatment of 150 mM NaCl at 6, 12, 24, and 48 h were used to analyze the expression of TaTLPs under salt stress (Zhang et al., 2016). Trinity package was used to calculate the expression value in terms of fragments per kilobase of exon per million mapped fragments (FPKM) value (Haas et al., 2013). Hierarchical Clustering Explorer 3.5 was used to generate heat maps of differentially expressed genes, which were clustered using the Euclidean distance method (Seo et al., 2006).
RNA Isolation, cDNA Synthesis, and qRT-PCR
The 7-days-old seedlings treated with various abiotic stresses were harvested after the 6, 12, 24, and 48 h of stress treatments. The root and shoot tissues of these seedlings were used for the total RNA isolation. The total RNA of each sample was isolated using the Spectrum™ Plant Total RNA kit (Sigma, United States). The seedlings (shoot and root) grown under normal conditions were used as a control. The TURBO DNA-free ™ Kit (Invitrogen, United States) was used to remove the genomic DNA contamination. The qualitative and quantitative analysis of RNA were done using agarose gel electrophoresis and NanoDrop quantification, respectively. The Superscript III First-Strand Synthesis Super-mix (Invitrogen, United States) was used to synthesize the cDNA from one microgram of total RNA. A real-time qRT-PCR was performed with the gene-specific primers of selected genes using SYBR Green at the 7900 HT Fast Real-Time PCR System (Applied Biosystems) following the method established in our laboratory (Shumayla et al., 2019). The fold expression change was calculated using the delta-delta CT method (2–ΔΔCT) using the expression of ADP-ribosylation factor (TaARF) as an internal control as reported in earlier studies (Livak and Schmittgen, 2001; Shumayla et al., 2019; Tyagi et al., 2021). All the experiments were carried out in three biological replicates and expressed as mean ± SD. A significant difference between the control and treatments was examined by using the two-tailed student’s t-test.
Cloning and Functional Characterization
The full-length open reading frame (ORF) of the TaTLP2-B gene was amplified from cDNA using the TaTLP2-B forward (5′ GTAATGGCTCTTCTTCCTCCTCTGCTTCTG 3′) and TaTLP2-B reverse (5′ AATCTGGGCCACACGATCGCCCC 3′) primers. The amplified DNA was cloned into the pJET1.2 cloning vector and sequenced. TaTLP2-B gene was re-amplified from the confirmed clone using the same primers and ligated into the pYES2.1/V5-His-Topo vector (Invitrogen, United States). The recombinant plasmid (pYES2.1-TaTLP2-B) was transformed in S. cerevisiae (W303) (yeast) cells for further characterization. For control, lacz gene containing pYES2.1 vector (pYES2.1/V5-His/lacZ) was used during the studies. Spot assays using recombinant yeast cells were performed under various abiotic stress conditions. Recombinant yeast cells were grown overnight in SD/-ura (with 2% dextrose) medium at 30°C and 200 rpm as primary culture and further inoculated for secondary culture (1:100 dilutions). As soon as OD600 reached 0.4, 2%, galactose was added to induce the expression of recombinant protein in yeast and kept at 30°C and 200 rpm for 6 h. The OD600 was adjusted to 0.4 and an equal volume (500 μl) of each induced culture was further diluted in 10 ml medium. The diluted cultures were treated with heat (37 and 40°C), cold (4°C), osmotic (20 and 30% PEG), combined heat and osmotic (37°C, and 30% PEG), and salt (1 M NaCl) stresses for 24 h, separately. After the treatments, serial dilutions (100, 10–2, 10–4, and 10–6) were prepared, 5 μl of each dilution was spotted on SD/-ura agar plates, and incubated at 30°C for 2–3 days as reported in earlier studies (Shumayla et al., 2019). All the experiments were performed in triplicates and the results were compared visually.
Subcellular Localization of the TaTLP2-B
Subcellular localization of TaTLP2-B protein was analyzed using CaMV35S-driven C-terminal yellow fluorescent protein (YFP) fusion construct generated by Gateway LR-recombination into binary vector PEG101. Plasmids were then transformed into Agrobacterium tumefaciens GV3101 strain. The cells were resuspended in a freshly prepared infiltration medium (10 mM MgCl2, 10 mM MES/KOH, pH 5.7 and 150 μM acetosyringone). The resulting constructs were infiltrated onto the abaxial surface of Nicotiana benthamiana leaf and kept at 22°C for 48 h. The YFP fluorescence was observed using the Leica TCS SP8 (Leica Microsystems, Wetzlar, Germany) laser-scanning confocal microscope at 514–527 nm.
Results
Identification and Chromosomal Localization of the Thaumatin-Like Protein Genes
Numerous properties of TLPs ascribed to defense and development pathways and lack of such studies in numerous cereals lead us to perform a comprehensive analysis of the TLP family in five major cereals. An extensive BLAST search identified 26, 27, 39, 93, and 37 TLP genes in B. distachyon, O. sativa, S. bicolor, T. aestivum, and Z. mays, respectively. The genes lacking or having incomplete thaumatin signature motifs were excluded from the study. Four TLPs were identified as small TLPs (sTLPs) in each B. distachyon, O. sativa, and Z. mays, while 10 and 20 sTLPs were detected in S. bicolor and T. aestivum, respectively (Supplementary File 1). In the case of T. aestivum, the identified TLP genes from the A, B, and D sub-genomes formed 32 homeologous groups based on their sequence homology (≥90%). All of the identified proteins exhibited a complete thaumatin signature motif (Supplementary Figure 1).
The chromosomal localization suggested the scattered distribution of the TLP genes at the majority of chromosomes in each crop (Figure 1). In B. distachyon, chromosome 4 consisted of a maximum of 10 TLP (both long and small) genes, while in the case of O. sativa, S. bicolor, T. aestivum, and Z. mays, the majority of genes (6, 11, 18, and 11) were localized on chromosomes 12, 8, 5A, and 1, respectively.
Multiple Sequence Alignments
Thaumatin-like proteins consist of various characteristic and conserved residues, which are important for their functional activities. Multiple sequence alignments of TLP proteins with a known thaumatin protein (P02883.2| THM1_THADA) revealed the identification of 16 and 10 conserved cysteine residues in the majority of long and small TLP proteins of the studied cereal crops, respectively. Moreover, 7–15 cysteine residues had also been observed in a few TLPs of O. sativa, S. bicolor, T. aestivum, and Z. mays. The REDDD motif was also found conserved in the majority of TLP proteins. However, in certain TLP proteins, a few amino acid residues (AAs) were replaced by other AAs having either similar or different properties. For instance, Arginine (R) was replaced by Lysine (K) or Asparagine (N). This could be responsible for the differential evolvement of various characteristic features of TLPs during evolution. The thaumatin signature motif, which is a characteristic feature of TLPs (Liu et al., 2010a), was found to be highly conserved in all the identified TLP proteins. Some other regions like FF hydrophobic motif and bottom of acidic cleft forming amino acids were also found to be well conserved (Figure 2 and Supplementary Figure 1).
Evolutionary Analyses
Phylogeny
To decipher the evolutionary relationship, a phylogenetic tree was built using the full-length TLP protein sequences of the five cereals and A. thaliana. These were clustered into 11 different clades based on their phylogenetic relatedness, named as groups I–XI (Figure 3). The highest number of TLPs was found in group XI, followed by group II and group X, while group IV was the smallest with only five genes. All the sTLPs were tightly clustered into group XI, which could be due to their smaller size. Further, the majority of groups consisted of TLPs from all the five cereals, except groups III, V, and VI that lacked members from one or more plant species. Besides, group IV comprised only three TaTLP and two AtTLP proteins. Besides, the homeologous TaTLPs of T. aestivum were tightly clustered in proximity.
Duplication Events Investigation
Duplication event analyses were carried out to understand their roles in the evolution and expansion of the TLP gene family in the studied crop species. A total of one, four, three, six, and eight DEs were predicted in B. distachyon, O. sativa, S. bicolor, T. aestivum, and Z mays, respectively (Figure 1 and Supplementary File 2). Only tandem DEs (TDEs) were found in the case of paralogous genes of B. distachyon (BdTLP1-BdTLP2), O. sativa (OsTLP5-OsTLP7, OsTLP22-OsTLP24, etc.), and S. bicolor (SbTLP28-SbTLP29, SbTLP31-SbTLP34, etc.). However, in the case of T. aestivum, five DEs (TaTLP1-A-TaTLP24-D, TaTLP1-B-TaTLP24-B, etc.) were segmental and one was TDE (TaTLP16-A-TaTLP17-A). In Z. mays, seven segmental (ZmTLP1-ZmTLP35, ZmTLP2-ZmTLP34, etc.) and one TDE (ZmTLP6-ZmTLP7) were found. All the duplicated gene pairs of each cereal crop were tightly clustered in proximity in the phylogenetic tree.
Ka/Ks and Tajima’s Relative Rate Test
Over the course of evolution, various evolutionary forces and natural pressures affected the duplicated genes (Ellegren, 2008). To understand the evolutionary divergence between the paralogous gene pairs, the Ka/Ks analysis was carried out. The Ka/Ks ratio of more than one suggests the positive (non-purifying) and less than one indicates negative (purifying) selection pressure. All the paralogous genes showed the Ka/Ks value lesser than one, which suggested the negative or purifying selection on duplicated TLP genes (Table 1). However, Ka/Ks analysis for ZmTLP6 and ZmTLP7 was not performed due to their 100% similarity. Additionally, the divergence time of DEs was also calculated using the Ks value and previously described methods (Huang et al., 2002; Sharma et al., 2014). The divergence time of duplicated genes was calculated as 83 million years ago (MYA) in BdTLPs, while the range varied from 52 to 108, 6 to 137, 63 to 99, and 1 to 63 MYA in O. sativa, S. bicolor, T. aestivum and Z. mays, respectively (Table 1). Tajima’s relative rate test found the insignificant χ2-value for all the duplicated gene pairs at P > 0.05 (Table 2). The P-value of more than 0.05 depicted their acceptance of the molecular evolutionary clock hypothesis (Tajima, 1993).
TABLE 1.
Gene A | Gene B | Ka | Ks | Ka/Ks | Selection pressure | T = Ks/2r |
BdTLPK1 | BdTLPK2 | 0.1102 | 1.0810 | 0.1020 | Purifying | 83.2 |
OsTLP5 | OsTLP7 | 0.1014 | 0.6788 | 0.1494 | Purifying | 52.2 |
OsTLP22 | OsTLP24 | 0.0697 | 0.4134 | 0.3190 | Purifying | 27.7 |
OsTLP23 | OsTLP25 | 0.1149 | 0.3603 | 0.31646 | Purifying | 29.4 |
OsTLP26 | OsTLP27 | 0.1569 | 1.3980 | 0.1122 | Purifying | 107.6 |
SbTLP28 | SbTLP29 | 0.0911 | 0.6808 | 0.1338 | Purifying | 52.4 |
SbTLP31 | SbTLP34 | 0.1388 | 1.7816 | 0.0779 | Purifying | 137 |
SbTLP32 | SbTLP33 | 0.0055 | 0.0716 | 0.0771 | Purifying | 5.5 |
TaTLP1-A | TaTLP24-D | 0.1224 | 0.8739 | 0.1401 | Purifying | 67.2 |
TaTLP1-B | TaTLP24-B | 0.0937 | 0.8163 | 0.1148 | Purifying | 62.8 |
TaTLP12-B | TaTLP13-D | 0.1193 | 1.1836 | 0.1008 | Purifying | 91 |
TaTLP15-A | TaTLP18-B | 0.1368 | 0.9879 | 0.1384 | Purifying | 76 |
TaTLP15-B2 | TaTLP18-A | 0.1423 | 0.9582 | 0.1486 | Purifying | 73.7 |
TaTLP16-A | TaTLP17-A | 0.1456 | 1.2825 | 0.1135 | Purifying | 98.7 |
ZmTLP1 | ZmTLP35 | 0.0955 | 0.3929 | 0.2431 | Purifying | 30.2 |
ZmTLP2 | ZmTLP34 | 0.1044 | 0.8149 | 0.1281 | Purifying | 62.7 |
ZmTLP3 | ZmTLP22 | 0.0495 | 0.3036 | 0.1630 | Purifying | 23.4 |
ZmTLP9 | ZmTLP12 | 0.0767 | 0.3783 | 0.2027 | Purifying | 29.1 |
ZmTLP13 | ZmTLP37 | 0.0523 | 0.3200 | 0.1634 | Purifying | 24.7 |
ZmTLP16 | ZmTLP33 | 0.0133 | 0.0141 | 0.9483 | Purifying | 1.1 |
ZmTLP20 | ZmTLP25 | 0.0797 | 0.0889 | 0.8965 | Purifying | 6.9 |
Ka, non-synonymous substitutions per non-synonymous site; Ks, synonymous substitutions per synonymous site; T, Divergence time.
TABLE 2.
Group A | Group B | Outgroup | Nt | Na | Nb | χ2 | P |
BdTLP1 | BdTLP2 | BdTLP11 | 403 | 47 | 42 | 0.28 | 0.59611 |
OsTLP5 | OsTLP7 | OsTLP18 | 401 | 28 | 29 | 0.02 | 0.89463 |
OsTLP22 | OsTLP24 | OsTLP18 | 333 | 15 | 17 | 0.13 | 0.72367 |
OsTLP23 | OsTLP25 | OsTLP18 | 313 | 20 | 27 | 1.04 | 0.30723 |
OsTLP26 | OsTLP27 | OsTLP18 | 411 | 34 | 34 | 0 | 1 |
SbTLP28 | SbTLP29 | SbTLP5 | 316 | 19 | 30 | 2.47 | 0.11608 |
SbTLP31 | SbTLP34 | SbTLP5 | 312 | 27 | 32 | 0.42 | 0.51508 |
SbTLP32 | SbTLP33 | SbTLP5 | 347 | 2 | 2 | 0 | 1 |
TaTLP1-A | TaTLP24-D | TaTLP4-D | 483 | 37 | 30 | 0.73 | 0.39245 |
TaTLP1-B | TaTLP24-B | TaTLP4-D | 486 | 36 | 31 | 0.37 | 0.5413 |
TaTLP12-B | TaTLP13-D | TaTLP4-D | 321 | 24 | 33 | 1.42 | 0.23323 |
TaTLP15-A | TaTLP18-B | TaTLP4-D | 391 | 36 | 38 | 0.05 | 0.81615 |
TaTLP15-B2 | TaTLP18-A | TaTLP4-D | 260 | 28 | 27 | 0.02 | 0.89274 |
TaTLP16-A | TaTLP17-A | TaTLP4-D | 291 | 36 | 31 | 0.37 | 0.5413 |
ZmTLP1 | ZmTLP35 | ZmTLP28 | 551 | 36 | 33 | 0.13 | 0.71798 |
ZmTLP2 | ZmTLP34 | ZmTLP28 | 541 | 34 | 25 | 1.37 | 0.24132 |
ZmTLP3 | ZmTLP22 | ZmTLP28 | 560 | 11 | 14 | 0.36 | 0.54851 |
ZmTLP9 | ZmTLP12 | ZmTLP28 | 372 | 6 | 12 | 2 | 0.1573 |
ZmTLP13 | ZmTLP37 | ZmTLP28 | 464 | 19 | 22 | 0.22 | 0.63941 |
ZmTLP16 | ZmTLP33 | ZmTLP28 | 551 | 5 | 7 | 0.33 | 0.5637 |
ZmTLP20 | ZmTLP25 | ZmTLP28 | 525 | 17 | 23 | 0.9 | 0.34278 |
Nt, Identical sites in all three sequences; Na, Unique differences in Sequence A; Nb, Unique differences in Sequence B.
Gene Architecture, Domain, and Motif Analyses
The number of exons varied from one to three in O. sativa, while one to four in B. distachyon, S. bicolor, and T. aestivum. In the case of Z. mays, most of the TLPs consisted of one to three exons, while ZmTLP16, ZmTLP20, ZmTLP25, and ZmTLP33 exhibited eleven, seven, eight, and ten exons, respectively. Moreover, a total of 44% (98/222) identified TLPs were intronless. Intriguingly, all the sTLPs were intronless, except TaTLP6-A and TaTLP20-A1. The intron phase analysis revealed that the occurrence of a maximum number of introns in phase 1, followed by phase 2, while the least number of introns were in phase 0 (Supplementary Figure 2).
The functional nature of a protein depends upon the occurrence of domain composition. All of the identified cereals’ TLPs consisted of a thaumatin domain (PF00314), which confirmed that they are TLPs. The size of the thaumatin domain ranged from 202–217 AAs to 134–154 AAs in the long and small TLPs, respectively. In addition to the thaumatin domain, ZmTLP16, ZmTLP20, ZmTLP25, and ZmTLP33 also consisted of a nuclear protein 96 (NUP96) domain of ∼211 AAs at the C-terminus of these proteins (Supplementary File 3).
Motif investigation revealed the occurrence of 10 highly conserved motifs in the TLP proteins. Motifs 1–9 were parts of the thaumatin domain, while motif 10 was unknown. Motifs 5, 6, and 8 were the most conserved motifs in TLP proteins, in which the thaumatin signature sequence was present in motif 8 (Supplementary Figure 2). The occurrence of conserved motifs across the cereal species suggested the conserved nature of TLP proteins in related plant species.
Physicochemical Properties
To understand the various important features, several physicochemical properties of identified TLPs were studied. The TLPs were analyzed for MW, peptide length, isoelectric point (pI), subcellular localization, transmembrane (TM) helix, and signal peptide (Supplementary File 4). The average length of the long and small TLPs ranged from 284–334 AAs to 175–185 AAs in the studied cereal crops, respectively. Similarly, the average MWs ranged from ∼29–35 kDa to ∼17–19 kDa, respectively. However, the average pI ranged from 5.89 to 6.95 and from 4.90 to 6.82 for the long and small TLPs, respectively (Table 3 and Supplementary File 4).
TABLE 3.
Property | Type | Brachypodium distachyon | Oryza sativa | Sorghum bicolor | Triticum aestivum | Zea mays |
Average protein length | Long TLPs | 299 | 289 | 294 | 284 | 334 |
Small TLPs | 185 | 178 | 178 | 177 | 175 | |
Average molecular weight (kDa) | Long TLPs | 30.8 | 29.8 | 30.0 | 29.1 | 35.0 |
Small TLPs | 19.5 | 18.1 | 18.3 | 18.22 | 17.7 | |
Average pI | Long TLPs | 6.18 | 6.95 | 6.05 | 6.18 | 5.89 |
Small TLPs | 6.82 | 6.06 | 5.74 | 6.17 | 4.90 |
The majority of TLP proteins lacked TM helices, which suggested their soluble/cytoplasmic nature. However, five TLPs of B. distachyon and O. sativa, seven of T. aestivum and Z. mays, and 10 TLPs of S. bicolor consisted of a single TM region, and OsTLP18, TaTLP4-D, and TaTLP5-D comprised of two TM helices, which suggested their membrane-bound nature (Supplementary File 4).
A total of 23, 21, 36, 86, and 33 TLPs of B. distachyon, O. sativa, S. bicolor, T. aestivum, and Z. mays consisted of the N-terminal signal peptide, respectively. Further, the majority of TLP proteins were predicted to be localized in the extracellular region, while three TLPs from O. sativa (OsTLP10, OsTLP15 and OsTLP16) showed nuclear, and BdTLP16, TaTLP21-A, ZmTLP20, ZmTLP25, and ZmTLP33 showed plasma membrane localization (Supplementary File 4). To validate the subcellular localization, a TLP gene (TaTLP2-B) was cloned and expressed with YFP as a translational fusion protein. Analysis of YFP fluorescence of fusion protein confirmed its extracellular localization (Figure 4). Moreover, we could also see some fluorescence in the cytoplasmic region. The results suggested that the majority of TaTLP2-B was localized in the extracellular region, where it could be involved in various defense-related functions (such as anti-fungal etc.). The cytoplasmic localization could be due to its translation in the cytoplasm, or it might also function inside the cytoplasm.
Promoter Region Analysis
Promoter elements are necessary for the regulation of gene expression under different conditions. Therefore, we performed the cis-regulatory analyses of TLPs to foresee their regulatory mechanisms. Based on their putative functions, the identified cis-regulatory elements were segregated into four groups; growth and development, light, hormone, and stress-responsive elements (Supplementary Table 1). The promoter regions of TLP genes comprised of several growth-related elements including TE2F2NTPCNA, EBOX, RYREPEAT4, RAV1AAT, POLLEN1LEAAT52, and so on. In the case of light-responsive elements, GT1CONSENSUS, GATA box, GBOXLERBCS, BOXII, and IBOXCORE were some common cis-regulatory elements. However, under the hormonal responsive category, DPBFCOREDCD3, ARFAT, ARR1, ERELEE4, and GARE10OSREP1 were abscisic acid, auxin, cytokinin, ethylene, and gibberellic acid-responsive elements, respectively.
Expression Profiling of the Thaumatin-Like Protein Genes Under Different Tissues and Developmental Stages
Expression analysis of genes is a significant way to understand their involvement in various developmental and physiological processes. Previously, TLPs are reported to be involved in plant growth and developmental processes (Munis et al., 2010; Li Z. et al., 2020). Therefore, we performed the expression analysis of TLPs under various tissues and their developmental stages using the high-throughput RNA-seq data retrieved from the URGI database and Expression ATLAS (Choulet et al., 2014; Pingault et al., 2015; Papatheodorou et al., 2018). A total of 23, 27, 37, 84, and 29 TLP genes showed expression in one or more tissue developmental stages in B. distachyon, O. sativa, S. bicolor, T. aestivum, and Z. mays, respectively (Figures 5A–E). Based on expression profile, these genes were clustered into 3–5 groups in various crop species. BdTLPs of group 1 were highly expressed in early and emerging inflorescence stages, while BdTLP9 and BdTLP12, and BdTLP20 and BdTLP23 were upregulated in endosperm and embryo, respectively. Group 2 genes were highly expressed in the leaf, pistil, embryo, and endosperm tissues. However, group 3 genes were highly expressed at 10 days after pollination (DAP) of seeds; moreover, BdTLP8 and BdTLP18 were upregulated in the pistil, as well (Figure 5A). In O. sativa, the majority of group 1 genes were highly expressed in seed, group 2 in callus, group 3 genes in the shoot, group 4 in inflorescence, and group 5 genes in emerging inflorescence and anther (Figure 5B). In S. bicolor, group 1 and group 4 genes showed higher expression in root and leaf tissues, respectively. However, groups 2 and 3 TLP genes were highly expressed in various reproductive tissues like anther, pistil, endosperm, embryo, and flower (Figure 5C).
In T. aestivum, the majority of group 1 genes exhibited higher expression in root tissue followed by the shoot. However, most of the groups 2, 3, and 4 TLP genes were highly expressed in various developmental stages of spike and grain tissues (Figure 5D).
In the case of Z. mays, group 1 genes showed significant expression in unpollinated silk, pericarp, and aleurone layer. While the majority of group 2 genes were specifically upregulated in the root tissues, and group 4 genes in the leaf and internode tissues. Group 3 genes were specifically upregulated in the embryo (Figure 5E). These results suggested the role of TLP genes in both vegetative and reproductive tissues development in all the studied cereal crops. However, the higher expression of a few genes in a specific tissue or developmental stages suggested their precise role in particular tissue development.
Expression Profiling of the TaTLP Genes Under Biotic and Abiotic Stress Conditions
Since TLPs belong to the defense-related protein family and are well known for their stress-responsive behavior. Therefore, the expression analysis of TaTLP genes was also performed under various biotic and abiotic stress conditions to reveal their roles in stress resistance (Zhang et al., 2014, 2016; Liu et al., 2015). For biotic stress, the available RNA-seq data generated at 24, 48, and 72 h of infestation of two important fungal pathogens, namely, Bgt and Pst were used for expression analysis (Zhang et al., 2014). In T. aestivum, a total of 50 TaTLP genes exhibited differential expression (≥ 2 fold) in these stress conditions, which could be clustered into four groups (Figure 6A). The majority of group 1 TaTLP genes were upregulated at 24 and 48 h of Bgt infestation. However, all the group 3 and 4 TaTLP genes were significantly upregulated at the late (72 h) and early (24 h) periods of Pst infestations, respectively. TaTLP3-A2, TaTLP12-A, and TaTLP32-A were the most upregulated genes after Bgt infection with 37, 36, and 35 folds, respectively. However, in the case of Pst infestation, TaTLP10-A (51 fold up) and TaTLP27-D (17 fold up) were highly upregulated.
Abiotic stresses are another major threat to plants, which affect various physiological and biological processes. To understand the putative role of TaTLPs under abiotic stress conditions, expression analysis was carried out under osmotic (OS), heat (HS), and combined heat and osmotic (HO) stresses using online available RNA-seq data (Liu et al., 2015). A total of 52 TaTLPs exhibited significant differential expression in these stresses, which formed four clusters in the heat map (Figure 6B). Almost all the genes of group 1 were downregulated in the OS, HS, and HO stresses, except TaTLP12-A that was slightly upregulated in OS treatment. In the case of group 2, the majority of genes were upregulated at 6 h of OS, HS, and HO treatments, while either unaffected or downregulated at 1 h of treatment. These might be the late responsive TaTLP genes. Most of the group 3 and group 4 TaTLP genes were found to be OS and HS responsive, respectively.
Expression analysis of the TaTLP genes was also performed at 6, 12, 24, and 48 h of salt stress using available RNA-seq data (Zhang et al., 2016). Out of 93 genes, 63 TaTLP genes were found to be differentially expressed under salt stress, which were clustered into 4 groups, based on their expression patterns (Figure 6C). All the group 1 genes were downregulated at all the stages of salt stress treatment. In contrast, all the group 3 genes were found significantly upregulated at 48 h of treatment. However, group 2 genes were upregulated at the early stage (6 h) of treatment, while they get normalized at later stages. The results suggested that the group 2 and group 3 genes are early and late responsive TaTLP genes, respectively.
In addition to in silico analysis, qRT-PCR analyses of eight TaTLP genes were performed using the gene-specific primers at similar heat, osmotic, and salt stress treatments for the validation of expression profile (Figures 7A–P and Supplementary File 5). Overall, the result was in agreement with the expression observed using RNA-seq data, with a few exceptions. In the case of heat stress, TaTLP2-B, TaTLP7-D, TaTLP14-B1, and TaTLP25-B were more upregulated at 1 h, while other genes were highly upregulated at 6 h of treatment. In the case of osmotic stress, TaTLP-7D was exclusively more upregulated at 1 h, whereas other genes were upregulated at 6 h. However, TaTLP2-B and TaTLP10-D were downregulated at OS 1 h. The majority of genes were highly upregulated at 1 h HO treatment. In the case of salt stress, seven genes were highly upregulated at 12 h of salt stress, except TaTLP14-B1 that showed maximum expression at 48 h. The results further confirmed that a few TaTLP genes are early while others are late responsive.
Comparative Expression Profiling of the TaTLP Paralogous Genes
To understand the function of duplicated genes, a comparative expression profiling of each paralogous pair was performed. Generally, based on expression pattern, duplicated genes could categorize into the retention of function, pseudo-functionalization, and neo-functionalization. Out of the six paralogous gene pairs, three pairs (TaTLP1-A-TaTLP24-D, TaTLP1-B-TaTLP24-B, and TaTLP15-A-TaTLP18-B) showed a similar trend of expression, which suggested retention of function in these duplicated genes (Figures 8A–C). Two duplicated pairs (TaTLP12-D-TaTLP13-D and TaTLP16-A-TaTLP17-A) showed insignificant expression of one of the gene suggested pseudo-functionalization (Figures 8D,E). Retention of function in the majority of duplicated genes and the absence of neo-functionalization suggested functional conservation in TLP genes during evolution.
Cloning and Functional Characterization of the TaTLP2-B in Saccharomyces cerevisiae
In our study, since the TaTLP2-B exhibited significant differential expression under abiotic stress conditions, it was selected for functional characterization. TaTLP2-B ORF was amplified using end primers and cloned into the pYES2.1 yeast expression vector. The LacZ gene-containing vector was used as a control (Figures 9A–F). In the spot assay, we observed similar growth of both control (LacZ) and TaTLP2-B expressing yeast cells in the controlled conditions (Figure 9A). Since the yeast optimum growth temperature is 30°C, we used 37 and 40°C for heat stress treatment. However, we observed higher growth inhibition at 40°C treatment, therefore, 37°C treatment was used for further analysis. In the case of 20% PEG, we could not see significant difference at the lower dilutions, therefore 30% PEG was used for further analysis. Similarly, less than 1 M NaCl could not cause significant inhibition at lower dilutions. The results revealed that in the case of cold (4°C), osmotic (30% PEG), heat, combined heat and osmotic (37°C and 30% PEG), and salt (1M NaCl) stress conditions, TaTLP2-B recombinant cells exhibited higher growth than the control cells (Figures 9B–F). The results suggested that the overexpression of the TaTLP2-B provided abiotic stress tolerance to the recombinant yeast cells. This gene can be used for the development of abiotic stress-resistant transgenic crops in future studies.
Discussion
Thaumatin-like proteins are important proteins involved in the tissue development and stress resistance pathways of plants (Liu et al., 2010a). Therefore, we have studied the TLPs in five major cereals including B. distachyon, O. sativa, S. bicolor, T. aestivum, and Z. mays. In the present study, we have identified a total of 26, 27, 39, 93, and 37 TLPs in the genome of B. distachyon, O. sativa, S. bicolor, T. aestivum and Z. mays, respectively. Variable numbers of the TLP genes in different plants have been reported in earlier studies. For instance, 24, 33, and 49 TLP genes have been reported in diploid A. thaliana, Vitis vinifera, and Populus trichocarpa, respectively (Cao et al., 2016; Yan et al., 2017). In the case of O. sativa and Z. mays, 49 TLP genes in each are reported in the earlier study (Cao et al., 2016), because probably they had not removed the genes with incomplete thaumatin signature motifs, as done in the present study. The occurrence of the highest number of TLP genes in T. aestivum could be attributed to their complex allohexaploid genome configuration (AABBDD) (Sharma A. et al., 2020). Further, differential expansion of the TLP genes in various plant species might be attributed to the number of DEs.
The duplication events are responsible for the expansion of gene families and these are the major forces to attain neo-functionality by causing genetic variability (Appels et al., 2018). In DEs analysis, our results suggested that tandem DEs are a major factor in B. distachyon, O. sativa, and S. bicolor and segmental DEs in T. aestivum and Z. mays behind the gene expansion of TLP family. The role of tandem and segmental duplications in the evolution of TLP gene family has been earlier reported in various plant species including A. thaliana, O. sativa, and Z. mays (Cao et al., 2016). The higher number of paralogous genes in T. aestivum and Z. mays might be attributed to their larger genome size and the presence of more transposable elements (Gaut, 2002; Ellegren, 2008).
Furthermore, the divergence time of monocots from eudicots was estimated as ∼170–235 Mya, which were further diverged into grasses around ∼77 Mya (Yang et al., 1999; Gaut, 2002). Therefore, the paralogous TLP genes in B. distachyon might have evolved before the divergence of grasses. The main duplication incidence in S. bicolor and O. sativa genome was estimated at around ∼70 Mya (Paterson et al., 2004). However, our results indicated that the majority of paralogous TLP genes of O. sativa and S. bicolor are evolved after the main DE occurrence. In Z. mays, paralogous TLP genes were probably formed close to the divergence time of maize and sorghum, i.e., ∼11–28 Mya (Paterson et al., 2004). However, in the case of T. aestivum, paralogous TLP genes were probably evolved earlier than the hybridization event of A, B, and D subgenomes (Marcussen et al., 2014). However, two duplicated pairs, having NUP 96 domain, showed their recent incidence of DEs, which showed that TLPs might be acquiring the new functions over the course of evolution. Duplicated genes face various environmental forces and natural pressures during the process of evolution (Ellegren, 2008). Our results suggested the purifying selection of TLP genes as a major force of selection, as reported in the various other plant species (Cao et al., 2016; Liu et al., 2020). Moreover, positive selection has also been reported for TLP genes in poplar, which suggested the role of varied natural selection procedures during TLPs’ evolution (Liu et al., 2010b). Since the TLPs are paraphyletic in origin, they are supposed to be derived from multiple ancestral genes (Shatters et al., 2006). Clustering of identified TLPs in multiple clades is in agreement with the paraphyletic nature of origin. Further, a variable number of TLPs in each clade is due to the differential duplication of TLP genes. Similarly, the uneven distribution and paraphyletic nature of TLPs have also been reported by previous studies (Cao et al., 2016; Liu et al., 2020). The tight clustering of homeologous and paralogous genes could be due to the high sequence homology among the respective sequences.
The organization of introns and exons of TLPs have been reported to be in the range of one to ten exons (Liu et al., 2010a; Petre et al., 2011; Cao et al., 2016). On similar patterns, our results suggest comparable findings with one to four exons in most of the TLPs. However, most of the monocots’ TLPs have intron-less nature, which was also found in our analysis (Cao et al., 2016). Additionally, our results with respect to the protein lengths, MWs, and isoelectric points of long and small TLP proteins were found in accordance with previously studied TLPs (Liu et al., 2010a; Petre et al., 2011; Cao et al., 2016). In our analysis, the TaTLP2-B was found to be localized in the extracellular region. Similarly, the extracellular localization of a wheat TLP (TaLr19TLP1) is also reported in an earlier study (Zhang et al., 2018).
In addition, the presence of thaumatin-like domain in all the TLP proteins, make our studies similar to previously reported findings. However, four ZmTLPs (ZmTLP16, ZmTLP20, ZmTLP25, and ZmTLP33) have an additional NUP 96 domain. The NUP 96 domain is reported to be involved in plant development and stress resistance against pathogens (Zhang and Li, 2005). Various abiotic and biotic stress-responsive elements were also found in most of the studied TLPs, for instance, DRE2COREZMRAB17, ASF1, BIHD1, CBFHV, CGG-box, GCCCORE, LTRECOREATCOR15, MYB, MYC, WRKY1, W-box, T/G-box, and so on. Various plant hormone-related and stress-related cis-regulatory elements have also been reported in four cotton species (Li Z. et al., 2020). Moreover, in previous studies, the elements like ERE, W-box, and WRKY were found to be involved in plant growth and stress resistance (Gou et al., 2007; Hiroyuki and Terauchi, 2008; Rushton et al., 2010). The occurrence of numerous cis-regulatory elements suggested diverse functions of TLP genes in plants. Further, the expression profiling of TLPs under various tissues and developmental stages also advocated the putative involvement of these genes in the development of vegetative and reproductive tissues. Similar expression trend in various plant tissues and their role in reproductive tissues like flowers and seeds has also been reported in earlier studies; for instance, TLP genes in Gossypium hirsutum also showed their varied expression pattern in vegetative as well as in reproductive organs (Fils-Lycaon et al., 1996; Seo et al., 2008; Li Z. et al., 2020).
The role of TLP genes in fungal resistance has been reported in earlier studies against numerous pathogens including Bipolaris sorokiniana (Cui et al., 2021), Fusarium sp. (Mackintosh et al., 2007), Microdochium nivale (Kuwabara et al., 2002), Puccinia. Triticina (Cui et al., 2021), Rhizoctonia solani (Naseri et al., 2012), and Verticillium dahlia (Li Z. et al., 2020) in wheat and other plant species. Bioassay of Plasmopara viticola in transgenic V. vinifera showed that the overexpression of VaTLP gene helped in the reduction of hyphe growth (He et al., 2017). The exact mechanism of TLPs is ambiguous; however, in the oomycetes fungus, PR5 are reported to degrade the β-1,3-glucans (Abad et al., 1996; Grenier et al., 1999). Moreover, a recent study also showed the interaction of TaTLP1 with PR1 genes of T. aestivum in two-hybrid experiments (Y2H) (Wang et al., 2020). The differential expression of TaTLP genes in response to Pst and Bgt infestation further established their roles in fungal stress responses.
The qRT-PCR of a few selected genes was carried out to validate the expression data obtained from the RNA-seq analyses. The TaARF gene was used as an internal control as reported in earlier studies (Shumayla et al., 2019; Tyagi et al., 2021). Further, the RNA-seq data analysis revealed invariable expression of TaARF gene in all the tissue developmental stages and stress conditions, therefore it was used as a reference gene in our qRT-PCR analyses. The qRT-PCR results showed the variable expression of TaTLPs at early and late stages of heat, osmotic, and combined heat and osmotic and salt stress treatments. The expression trends were similar as observed in RNA-seq data. For instance, TaTLP5-D exhibited the maximum expression at 6 h of osmotic and combined heat and osmotic stresses, and 12 h of salt stress in both qRT-PCR and in silico expression analyses. Similarly, in the case of TaTLP14-B1 and TaTLP29-A, the maximum upregulation was seen at the later stages of osmotic and salt stresses in both the RNA-seq data and qRT-PCR results. These results supported the consistency in the expression data of RNA-seq and qRT-PCR, and suggested the stress-responsive nature of TaTLP genes. Further, the TaTLP2-B exhibited significant differential expression in various stress conditions, therefore it was used for cloning and functional characterization in yeast. Moreover, similar to our in silico and qRT-PCR finding’s differential expression, upregulation of TLP genes at various hours of osmotic, salt, and cold stress treatment has also been reported in other plants like Brassica rapa and Gossypium sp. (Ahmed et al., 2013; Li Z. et al., 2020). Seven genes of B. rapa (BrTLP1, 2, 3, 8, 12, 13, and 20) exhibited differential expression at the different time intervals of cold, drought, and salt stresses (Ahmed et al., 2013). Moreover, the qRT-PCR experiment showed the upregulation of BoTLP1 of Brassica oleracea L. var. Italica after 4, 8, and 24 h of salt (200 mM Nacl) and drought stresses (300 mM mannitol) (He et al., 2021).
The overexpression of TaTLP2-B provided significant tolerance against various abiotic stress conditions in yeast cells. Similarly, the overexpression of TLP genes provided increased tolerance against various abiotic stresses in tobacco, cotton, Arabidopsis, broccoli, and so on (Rajam et al., 2007; Misra et al., 2016; Li Z. et al., 2020; He et al., 2021). In a recently conducted study, the important role of a cotton TLP (GhTLP19) gene was studied in combating drought stress (Li Z. et al., 2020). Moreover, the GbTLP1 of G. barbadense and ObTLP1 of Ocimum basilicum were found effective against drought and salt stresses in two separate studies (Munis et al., 2010; Misra et al., 2016). The transgenic line of Brassica oleracea L. var. Italica with overexpressed BolTLP1 showed remarkable resistance against drought and salt stresses (He et al., 2021). The abscisic acid (ABA) signaling cascade is a central pathway in the regulation of salt, drought, and other abiotic stresses. In a recent study, thaumatin mutant plants showed alteration in the ABA signaling pathway, which ultimately leads to increased susceptibility of plants to abiotic stresses (Park and Kim, 2021). Collectively, these findings depict that the TLP proteins could be utilized to develop stress resistant transgenic cereal crops, which will be a boost for future agriculture.
Conclusions
Thaumatin-like proteins, a part of the PR5 protein family, are known to be involved in various biotic and abiotic stresses. The curiosity to unravel the various possibilities led us to a detailed characterization of a total of 222 TLP genes in five cereal crops. Phylogenetic analysis revealed the paraphyletic origin of TLPs in cereals, while the occurrence of DEs suggested the role of paralogous genes in the expansion of the TLP gene family. Gene expression analysis using RNA-seq data and qRT-PCR suggested the important roles of TLP genes in plant growth and development and abiotic and biotic stress responses. Significant tolerance in the TaTLP2-B expressing yeast cells further established their role in stress response. Overall, the study revealed that the TLP genes can be used for stress-resistant transgenic crop development. Since the identified genes are directly derived from the food crops, they would be easily deregulated from the regulatory authority of the transgenic crops. Further, the current study will facilitate the detailed functional characterization of TLP genes of cereal crops in future studies.
Data Availability Statement
The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found below: URGI, PRJNA243835; NCBI BioProject, PRJNA243835, SRP045409, and SRP062745.
Author Contributions
SU conceived the idea. AS and SU designed the experiments. AS, HS, and RR performed the experiments. AS, HS, and AP analyzed the data. AS, HS, and SU wrote the manuscript. All authors have read and finalized the manuscript.
Conflict of Interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher’s Note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Acknowledgments
We are grateful to the Panjab University, Chandigarh, and National Institute of Plant Genome Research, New Delhi, India, for research facilities, Ensembl Plants, URGI, and NCBI for data availability. AS and HS is grateful to CSIR for the senior research fellowship.
Footnotes
Supplementary Material
The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fpls.2021.807448/full#supplementary-material
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found below: URGI, PRJNA243835; NCBI BioProject, PRJNA243835, SRP045409, and SRP062745.