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ORIGINAL RESEARCH article

Front. Genet., 19 July 2022
Sec. Genomics of Plants and the Phytoecosystem
This article is part of the Research Topic Breaking the Myth: Breeding for Stress Tolerance, Grain Yield, and Quality Traits Simultaneously by Diversifying the Narrow Genetic Base View all 42 articles

Physiological and Differential Proteomic Analysis at Seedling Stage by Induction of Heavy-Ion Beam Radiation in Wheat Seeds

Yuqi Li,&#x;Yuqi Li1,2Jiayu Gu&#x;Jiayu Gu2Ahsan IrshadAhsan Irshad2Linshu ZhaoLinshu Zhao2Huijun GuoHuijun Guo2Hongchun XiongHongchun Xiong2Yongdun XieYongdun Xie2Shirong ZhaoShirong Zhao2Yuping DingYuping Ding2Libin ZhouLibin Zhou3Fuquan KongFuquan Kong4Zhengwu Fang
Zhengwu Fang1*Luxiang Liu
Luxiang Liu2*
  • 1College of Agriculture, Yangtze University, Jingzhou, China
  • 2National Key Facility for Crop Gene Resources and Genetic Improvement, National Center of Space Mutagenesis for Crop Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
  • 3Biophysics Group, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, China
  • 4China Institute of Atomic Energy, Beijing, China

Novel genetic variations can be obtained by inducing mutations in the plant which help to achieve novel traits. The useful mutant can be obtained through radiation mutation in a short period which can be used as a new material to produce new varieties with high yield and good quality wheat. In this paper, the proteomic analysis of wheat treated with different doses of 12C and 7Li ion beam radiation at the seedling stage was carried out through a Tandem Mass Tag (TMT) tagging quantitative proteomic analysis platform based on high-resolution liquid chromatography-mass spectrometry, and the traditional 60Co-γ-ray radiation treatment for reference. A total of 4,764 up-regulated and 5,542 down-regulated differentially expressed proteins were identified. These proteins were mainly enriched in the KEGG pathway associated with amino acid metabolism, fatty acid metabolism, carbon metabolism, photosynthesis, signal transduction, protein synthesis, and DNA replication. Functional analysis of the differentially expressed proteins showed that the oxidative defense system in the plant defense system was fully involved in the defense response after 12C ion beam and 7Li ion beam radiation treatments. Photosynthesis and photorespiration were inhibited after 12C ion beam and 60Co-γ-ray irradiation treatments, while there was no effect on the plant with 7Li ion beam treatment. In addition, the synthesis of biomolecules such as proteins, as well as multiple signal transduction pathways also respond to radiations. Some selected differentially expressed proteins were verified by Parallel Reaction Monitoring (PRM) and qPCR, and the experimental results were consistent with the quantitative results of TMT. The present study shows that the physiological effect of 12C ion beam radiation treatment is different as compared to the 7Li ion beam, but its similar to the 60Co-γ ray depicting a significant effect on the plant by using the same dose. The results of this study will provide a theoretical basis for the application of 12C and 7Li ion beam radiation in the mutation breeding of wheat and other major crops and promote the development of heavy ion beam radiation mutation breeding technology.

Introduction

Common wheat (Triticum aestivum) is one of the major cereal crops in the world and its grains contain energy-rich carbohydrates content with useful nutrients and proteins. Mutagenesis plays a significant role in breeding and variety development in cereal (Li et al., 2022). The study of heavy-ion beams had been started in the 1970s in the field of nuclear physics and in 1993 it had been started for plant mutation breeding by using 12C and 7Li ion beams (Bradshaw, 2017). Recently it has been widely used in cereal crops, especially wheat, rice, and maize for the development of new high-yield varieties (Morishita et al., 2003; Kikuchi et al., 2009; Cabanos et al., 2012; Dong and Li, 2012). The 7Li ion beam mutagenesis technology is used for the deletion of susceptible genes, which aids in the understanding of gene function and the development of disease-resistant plants, ultimately accelerating crop improvement (Hase et al., 2012; Fitzgerald et al., 2015).

Both heavy ion beams (7Li and 12C) and 60Co-γ-ray radiation belong to physical agents used for induced mutagenesis. These physical mutagens have been used to create point mutations and small deletions in the genome, as well as DNA methylation variations (Sikora et al., 2011). In contrast, heavy-ion beam-induced mutations are more frequent and more diverse. In addition to point mutations such as single nucleotide base substitutions, insertions, inversions, translocations, and small deletions, 12C ion beam radiation can also induce larger deletions, insertions, and chromosomal rearrangements (Shikazono et al., 2005; Nawaz and Shu, 2014). Similarly, 7Li ion beam radiation can also induce mutations by disrupting the hydrogen bonds in the DNA double helix structure (Xiong et al., 2020). In plant cells, the mutation-induced by heavy-ion beam radiation is not consistent with the traditional 60Co-γ ray radiation.

Proteomics has been widely used in the study of the interaction between cells and the environment, oftenly considered as an effective research method for revealing the regulatory mechanism at the molecular level of cells. For example, the low-temperature resistance of cotton plant is enhanced by increased protein abundance of osmoregulation, cell wall loosening, and cytoskeletal homeostasis (Zheng et al., 2012). Using TMT quantitative protein labeling technology to study the level of enzymes in the theanine synthesis pathway in tea roots under nitrogen deficiency conditions is inhibited, while a large number of enzymes in flavonoid metabolism are up-regulated at the transcriptional level (Wang et al., 2021). According to the proteomic analysis, salt stress increased the accumulation of γ-amino acids in soybean germinated in the dark and improved soybean salt tolerance by the synthesis of reactive oxygen species scavenging enzymes and antioxidants (Yin et al., 2018). Chen et al. (2017) used yeast two-hybrid assay to identify the activation of heat shock protein 21 (HSP21) expression after heat stimulation of Arabidopsis thaliana. HSP21 stabilizes the thylakoid structure by interacting with photosystem II at the thylakoid membrane, which contributes to Arabidopsis thaliana’s increased heat tolerance (Chen et al., 2017). The analysis of the chloroplast proteome of wheat induced by UV light revealed that differentially expressed proteins were involved in photosynthesis, detoxification, and antioxidant reactions, as well as signal induced transduction pathways and three UV-B protective proteins (Gao et al., 2019). There are many reports available that analyzed protein level change under high temperature, low temperature, drought, high salinity, and UV stress environments, while the changes in proteome caused by ion beam and ray radiation treatments are less studied.

In this study, winter wheat (Triticum aestivum) “Heyou 1” and untreated seeds treated with different doses of 12C, 7Li ion beam, and 60Co-γ-ray irradiation were used as materials used for mutagenesis. Proteins contents were extracted from 5-day-old seedlings. The protein level difference between the wheat response to heavy-ion beam and traditional ray radiation was analyzed by the TMT labeling method, which provided a theoretical basis for revealing the regulation mechanism of the wheat response to heavy-ion beam stress.

Material and Methods

Plant Materials

Winter wheat (Triticum aestivum L.) variety Heyou 1 (HY1) and seeds of HY1were treated with different doses of 12C ion beam, 7Li ion beam, and 60Co-γ ray.

Radiation Based Mutagenic Treatment

Seeds were irradiated with 60Co-γ rays at the Peking University Radiation Center (Beijing, China) at doses of 0, 100, 150, and 250 Gy at a dose rate of 7.5 Gy/min; 12C ion beam irradiation was given at the Institute of Modern Physics of the Academy of Sciences (Lanzhou, China) with doses of 0, 40, 60, and 80 Gy, respectively, at a dose rate of 20 Gy/min. Similarly, 7Li ion beam radiation treatment was performed at the China Institute of Atomic Energy (Beijing, China) with doses of 0, 25, 50, 75, and 100 Gy at the rate of 8 Gy/min. Each dose was repeated three times with 0 Gy (unirradiated) treated samples as a control.

Phenotypic Identification and Photosynthetic Parameter Determination

Sixty seeds were taken from each of the 10 radiation-treated and untreated HY1 groups. The seeds were soaked in distilled water at 4 C for 16 h, placed in a germination bag, transferred to a light incubator, and cultured for 7 days at 21 C, 3,000 Lux light, and a light-dark ratio of 16 h:8 h, and the seedling height and root length were measured. The wheat materials used for the determination of photosynthetic parameters were vernalized at 4 C for 35 days, and 30 plants of the treatment group and the control group were transplanted into pots, at a temperature of 20–25 C, a humidity of 50–70%, and supplemented light for 16 h. After culturing for 3 weeks under greenhouse conditions, the photosynthetic parameters of leaves were measured using a MultispeQ instrument (PhotosynQ Inc., East Lansing, MI, United States). One fully expanded leaf was selected for each plant, and the measurement was repeated three times. The data obtained were processed in Excel and plotted with GraphPad Prism8.

Protein Extraction and Trypsin Digestion

The 5-day old seedlings of the control group and 10 experimental groups were quick-frozen with liquid nitrogen, each group was divided into three biological replicates and completely ground into dry powder, and placed in a 5 ml centrifuge tube. Protein extraction was performed according to Wu (2022). Four times the powder volume of dithiothreitol and protease inhibitor formulated phenol extraction buffer was poured into each group of samples for sonication. The same volume of Tris-equilibrated phenol was poured into a centrifuge tube (4°C, 5,000 g, 10 min). The supernatant was transferred to a new centrifuge tube and 5 volumes of 0.1 M ammonium acetate/methanol were added to precipitate overnight. The final precipitate was reconstituted with 8 M urea, and the protein concentration was determined using BCA Protein Assay Kit (BCA Protein Assay Kit, Beyotime, Shanghai, China). The main process of protein trypsin digestion is that an equal amount of each sample protein is added to an appropriate amount of standard protein, and the pH of the sample is adjusted to about 7.0 with triethylammonium bicarbonate (TEAB). Dithiothreitol (DTT) was added to a final concentration of 5 mM and reduced at 56 C for 30 min 0.5 M iodoacetamide (IAA) was added to the samples to 11 mM and incubated for 15 min at room temperature in the dark. Finally, each sample was diluted with TEAB to a final concentration not higher than 2 M urea. Trypsin was added at a mass ratio of 1:50 (protease: protein) for enzymatic hydrolysis overnight. Then trypsin was added at a mass ratio of 1:100 (protease: protein), and the enzymatic hydrolysis was continued for 4 h. Digestion was terminated by acidifying the samples to pH 3 with trifluoroacetic acid (TFA).

Analysis of TMT-Labeled Proteins by Liquid Chromatography-Mass Spectrometry

For TMT labeling of peptides followed the method of Wu et al., (2020). The enzymatic fragments were desalted with Strata X C18 (Phenomenex) solid-phase extraction, the column was washed and the samples eluted, and the eluted samples were freeze-dried in the tube. The labeling reagent was taken out from −80°C, placed at room temperature for more than 20 min, the labeling reagent was equilibrated to room temperature, and centrifuged in a mini centrifuge for 3 min. After the peptides were taken out from −20°C, centrifuge at 12,000 g at 4v°C for 3 min, add label buffer to the vortex to dissolve the peptide fragments, and centrifuge at 12,000 g for 3 min at 4°C. Add ACN and vortex to dissolve the TMT reagent, and centrifuge in a mini centrifuge for 5 s. Transfer the TMT reagent to the EP tube containing the peptide fragment, vortex to mix, centrifuge in a mini centrifuge for 5 s, and place at room temperature for 2 h. Each peptide sample was resuspended in 0.5 M TEAB and anhydrous acetonitrile was added. Labeling reagents were added to each corresponding peptide sample at a TMT/peptide ratio of 2:1 (w/w) and incubated for 2 h at room temperature. Each TMT-labeled sample was mixed, desalted, and lyophilized in vacume. The digested peptides were separated by high pH reverse-phase liquid chromatography and separated on an Agilent 300Extend C18 column. The peptide fragments were reconstituted with liquid separation chromatography mobile phase A (0.1% (v/v) formic acid aqueous solvent), and the EASY-nLC 1,000 ultra-high performance liquid phase system was used to separate the peptide fragments at different levels. The separated peptide fragments were ionized into TMT reporter ions using an NSI ion source, which were then analyzed on the Orbitrap Fusion LumosTM mass spectrometer. Peptide precursor ions and their secondary fragments were used with an Orbitrap mass spectrometer. The mass spectrometry proteomics data is deposited to the ProteomeXchange Consortium via the PRIDE partner repository with the dataset identifier ID: PXD033767.

Database Search

MS data were comprehensively searched using Maxquant (v1.5.2.8). The enzyme digestion method of Trypsin/P was adopted; the number of missed cleavage sites was 2; the minimum length of the peptide was 7 amino acid residues; the maximum number of peptide modifications was set to 5. Cysteine alkylation was set as fixed modification, Oxidation (M), Acetyl (Protein N-term), and Deamidation (NQ) were set as variable modification. The quantitative method was set to TMT-10 plex, and the FDR of protein identification and PSM identification were set to 1%.

Bioinformatics Analysis for Proteins Characterization

Proteins were annotated using KEGG Automated Annotation Server (KASS) (v.2.0 http://www.genome.jp/kaas-bin/kaas_main). Pathway analysis was performed with KEGG Mapper (V2.5 http://www.kegg.jp/kegg/mapper.html). Subcellular subcellularization of differential proteins were performed by Wolf PSORT (v.0.2 http://www.genscript.com/psort/wolf_psort.html) and CELLO (v.2.5 http://cello.life.nctu.edu.tw/) position (Horton et al., 2007). Perl module was used (v.1.31 https://metacpan.org/pod/Text :: NSP :: Measures :: 2D :: Fisher) Progressive protein function wealth analysis. R Package was used for heat map visualization result (v.2.0.3 https://cran.rproject.org/web/packages/cluster/). For Fuzzy c-means algorithm categorization method, Progressive table categorical analysis, R package Mfuzz Progressive visualization (v.2.32.0 https://www.rdocumentation.org/packages/Mfuzz/versions/2.32.0) was used (Gao et al., 2017). Protein interaction network analysis was performed using Blast, R package networkD3 (v.0.4 https://cran.rproject.org/web/packages/networkD3/), and Cytoscape was used for visualization. cricos diagrams were drawn on the online analysis platform CIRCOS (http://circos.ca/) (Rasche and Hiltemann, 2020).

Targeted Protein Quantification by Parallel Reaction Monitoring

Refer to the method of Wei et al. (2020) for PRM validation of proteins (Wei et al., 2020). Peptides were ionized and analyzed using Q Exactive™ Plus mass spectrometry. The protease was set to Trypsin (KR/P), the maximum number of missed cleavage sites was set to 0, and the peptide length was set to 7–25 amino acid residues.

qRT-PCR Validation of Some Differentially Expressed Protein Genes

RNA was extracted using TRNZOL (TIANGEN, China) (Vennapusa et al., 2020). The CDS sequences of the corresponding protein genes were obtained by searching the wheat genome database. Following primers used for qRT-PCR:

TraesCS4A02G116400

(Forward primer: TTG​TAA​CTA​TCA​AAG​GGT​GCC​AT,

Reverse primer: CTT​TTA​TTT​CCG​GGC​AAA​ACC​AT).

TraesCSU02G105300

(Forward primer: TGG​CAT​TCC​ACT​CAA​CTA​CAG​G,

Reverse primer: ACT​TCA​CAC​CAC​ATG​TAG​GCT​T).

TraesCS3A02G260100

(Forward primer: CTG​CTA​TAA​CCA​GAG​GCC​GTT​C,

Reverse primer: TCG​CCA​CGC​CAT​TGT​TAC​AGT).

We performed Quantitative real-time PCR using One-Step gDNA Removal, PerfectStart Green qPCR SuperMix (TransGen Biotech, China), and CFX 96 Real-Time System (Bio Rad, United States). ACTIN was selected as the internal reference gene, and at least three technical replicates were performed for each sample (Zhang et al., 2022).

Results

Protein Extraction and Seedling Phenotype After Heavy-Ion Beam Irradiation

HY1 was treated with a12C ion beam at 0, 40, 60, and 80 Gy, 7Li ion beam at 25, 50, 75, and 100 Gy while 60Co-γ ray at 100, 150, and 250 Gy were used for the seedling stage. 12C ion beam radiation treatment had inhibitory effects on the seedling height and root length of HY1, and a similar effect had been observed with 60Co-γ ray. 7Li ion beam irradiation treatment resulted in phenotypic variation such as curling and streak albino in wheat leaves, and all four doses resulted in 100% leaf curling and albino streak (Figures 1A,B). The photosynthesis index showed that the relative chlorophyll content (SPAD) in the high-dose 12C ion beam radiation treatment group 80 Gy and the 60Co-γ-ray treatment group 250 Gy were significantly lower than those in CK. However, the SPAD values of each dose of 7Li ion beam irradiation treatment groups were significantly different from those of CK. The photoprotective chemical quenching index φNPQ of the low-dose 12C ion beam irradiation group 40 Gy was significantly higher than that of CK, while the φNPQ value of the high-dose group was significantly decreased (Figure 1C).

FIGURE 1
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FIGURE 1. Phenotypic data. (A) Growth of HY1 treated with 12C ion beam, 7Li ion beam and 60Co-γ irradiation for 7 days; (B) Data of seedling height and root length; (C) Photosynthetic parameters SPAD and φNPQ values of 21 days.

Untreated and treated Heyou-1 5 days seedlings were subjected to protein extraction, identification, mass spectrometry analysis, and bioinformatics analysis such as functional enrichment, expression pattern cluster analysis, and protein interaction analysis (Figure 2A). We performed a macroscopic analysis of the entire proteome in the identified unirradiated and irradiated groups (Figure 2B). Cirocs plots are a collection of protein counts and depths for each treatment sample, the frequency distribution of individual protein counts, quantitative mass spectrometry data for common proteins, and differential protein data for each dose of radiation treatment compared to CK. The amount and depth of protein quantified in the three irradiation-treated HY1 seedlings were inconsistent, the highest in the 60Co-γ treatment group was 12,000, the 12C ion beam treatment group was between 11,000 and 12,000, and the 7Li ion beam treatment group was at 11,000; Deep represents the higher frequency of occurrence in each treatment group; the fourth circle is the second-ranking of the common proteins of each treatment group according to the quantitative information; the fifth circle is the same protein in each treatment group that has a difference in protein expression with the CK group (Figure 2B). By connecting the lines, it was found that there were more differentially shared proteins between the 12C ion beam treatment group and the 60Co-γ treatment group, while the 7Li ion beam treatment group had less differentially shared proteins. However, in the regions with low frequencies of identified proteins, there were more differentially shared proteins between the 7Li ion beam treated group and the control (Figure 2B).

FIGURE 2
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FIGURE 2. Proteomic Analysis. (A) The flow chart of proteomics analysis; (B) The Circos diagram (the first circle is the sample name, the second circle is the first-level ranking of the number and depth of proteins, the third circle is the statistics of the occurrences of proteins in each sample group, The darker the color, the higher the counting frequency, the second order of quantitative shared proteins in the fourth circle, and the difference between each radiation treatment group and CK in the fifth circle).

Differentially Expressed Proteins and KEGG Enrichment Analysis

Untreated HY1 was used as the control for the ratio of the expression level of each protein in all 10 treatment groups. Differential expression fold ≥1.3 or ≤ −1.3 as the threshold and p-value < 0.05 as the screening criterion, a total of 4,764 up-regulated differentially expressed proteins (DEPs) and 5,542 down-regulated DEPs were obtained in the 10 radiation treatment groups (Figure 3A).

FIGURE 3
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FIGURE 3. Bioinformatics Analysis. (A) Overall map of differentially expressed up-regulated and down-regulated proteins in each dose of radiation treatment group; (B) KEGG classification statistics of 12C ion beam radiation treatment group, 7Li ion beam radiation treatment group and 60Co-γ ray radiation treatment group. (C) 12C ion beam radiation treatment group KEGG classification statistics of down-regulated differential proteins (left side) and up-regulated differential proteins (right side) in radiation treatment group and 7Li ion beam radiation treatment group, where A is amino acid metabolism, B is fatty acid metabolism, C is carbon metabolism, D is photosynthesis, E is signal transduction, F is protein synthesis, G is DNA replication. (D) Subcellular localization results of each dose of radiation treatment group.

We also analyzed the KEGG enrichment of differentially expressed proteins in different doses of radiation treatment groups, and the differential proteins in the 12C ion beam radiation group were significantly enriched in ß-alanine metabolism, arginine, and proline metabolism, DNA replication, ascorbic acid, alginate metabolism and pentose phosphate pathway. Differential proteins in the 7Li ion beam irradiation group were significantly enriched in base excision repair, fructose and mannose metabolism, starch and sucrose metabolism, amino sugar and nucleotide sugar metabolism, and plant-pathogen response. Similarly, differential proteins in the 60Co-γ irradiation group were significantly enriched in valine, leucine, and isoleucine metabolism, cyano amino acid metabolism, and propionate metabolism (Figure 3B).

We broadly divided the enriched KEGG pathways into seven types for analysis (amino acid metabolism (A), fatty acid metabolism (B), carbon metabolism (C), photosynthesis (D), signal transduction (E), protein synthesis (F) and DNA replication (G)). The proteins up-regulated for 12C ion beam radiation treatment was mainly concentrated in the KEGG pathway of A, B, C, and E types, with a high proportion of A and C types. The down-regulated proteins were mainly concentrated in the KEGG pathway of A, C, D, F, and G types. The up-regulated proteins after 7Li ion beam irradiation were mainly concentrated in the KEGG pathways of types A and C, while the down-regulated proteins are mainly concentrated in the KEGG pathways of types C, E, and F. The number of proteins in each KEGG pathway was less, and there was no difference in some pathways (Figure 3C).

For further understanding of the intracellular distribution of the identified proteins, subcellular localization analysis was also performed. The subcellular localization of the differentially expressed proteins in the 12C ion beam and 60Co-γ-ray irradiation groups was mainly in the chloroplast and cytoplasm, while the proportion of the differentially expressed proteins for the 7Li ion beam showed less in the chloroplast and cytoplasm (Figure 3D).

Co-Clustering Analysis of Differential Proteins in Groups Treated With Heavy Ion Beam and Gamma-Ray Irradiation

Co-clustering analysis of 12C ion beam and 60Co-γ-ray irradiation treatment group together enriched 10 KEGG pathways including A, C, D, G, F, and D types (“photosynthesis”). Among the 10 differential pathways, the 12C ion beam irradiation group was significantly clustered in the “pentose phosphate pathway” (C) and the “MAPK signaling pathway” (E), while the 60Co-γ-ray treatment group was significantly clustered in the “valine, leucine and “Isoleucine metabolism” (A), “cyanoamino acid metabolism” (A) and “propionate metabolism” (B) (Figure 4A). The 21 differential pathways included A, B, C, E and F types, the 7Li ion beam irradiation group was enriched to 8 KEGGs including “starch and sucrose metabolism” (C) and “MAPK signaling pathway” (E), while 60Co-γ-ray treatment group was enriched in 13 pathways including “propionate metabolism” (B), “porphyrin and chlorophyll metabolism” (D) (Figure 4B).

FIGURE 4
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FIGURE 4. KEGG heat map. (A) KEGG heat map of 12C ion beam radiation treatment group and 60Co-γ-ray radiation treatment group. (B)co-clustering KEGG heat map of 7Li ion beam radiation treatment group and 60Co-γ-ray radiation treatment group.

Cluster Analysis of Differentially Expressed Protein

In this study, the Mfuzz method was used to perform cluster analysis on protein abundance transformation under different consecutive samples, including the comparison group of 12C ion beam and 60Co-γ ray irradiation treatment (I), and the comparison group of 7Li ion beam and 60Co-γ ray irradiation treatment group (II). Similarly, a comparison group (III) of 12C ion beam and 7Li ion beam irradiation treatments (Figure 5).

FIGURE 5
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FIGURE 5. Expression pattern clustering and protein network interaction map. From left to right are the cluster analysis of 12C ion beam and gamma ray treatment comparison group, 7Li ion beam and gamma ray treatment comparison group, and carbon ion beam and 7Li ion beam beam treatment comparison group.

The comparison group consists of 6 clusters. The number of proteins in cluster 1 and 5 were higher and the trend of protein abundance decreased with increasing dose in both 12C ion beam and 60Co-γ-ray irradiation groups, and the KEGG pathway was significantly enriched in photosynthesis and carbon metabolism. The changing trend of protein abundance in cluster 4 was different from that of cluster 1 and 5, and the KEGG pathway was significantly enriched in amino sugar and nucleotide sugar metabolism (C), MAPK-signaling pathway (E), and phytohormone signal transduction (E). The changing trends of protein abundances in Clusters 2, 3, and 6 were opposed to all other clusters for 12C ion beam and 60Co-γ-ray irradiation, and the KEGG pathway was enriched to arginine metabolism (A), glycerophosphate metabolism (B) and Protein trafficking in the endoplasmic reticulum (F).

There were 4 clusters in comparison group II. The protein abundance in clusters 2 and 3 decreased with increasing dose after 7Li ion beam irradiation and increased with increasing dose after 60Co-γ ray irradiation. The KEGG pathway was enriched to glutamate metabolism (A), amino sugar and nucleotide sugar metabolism (C), and phytohormone signaling (E). The trend of protein abundance in clusters 1 and 4 was opposite to that in clusters 2 and 3, and the KEGG pathway was enriched in photosynthesis (D), carbon fixation (C), and ribosomes (F).

In comparison to group III, 4 clusters were also developed. The protein abundances in clusters 1 and 2 decreased with increasing dose after 12C ion beam irradiation and increased with increasing dose after 7Li ion beam irradiation. The KEGG pathway was enriched to photosynthesis (D), ribosomes (F), and carbon fixation (C). The changing trend of protein abundance in Clusters 3 and 4 is opposite to that in clusters 1 and 2. The KEGG pathway is enriched to phenylpropane synthesis (A), amino sugar and nucleotide sugar metabolism (C), and MAPK-signaling pathway (E).

Protein Interaction Analysis

The interaction analysis of differentially expressed proteins was carried out for each dose of 12C and 7Li ion beams irradiation treatment groups. The results showed that the 12C ion beam radiation treatment group had more interactions between protein synthesis and transport-related proteins with relatively more interactions between photosynthesis-related proteins and carbon metabolism-related proteins (Supplementary Figure S1). In the 7Li ion beam irradiation group, there were fewer interactions among different metabolisms with fewer PPI interactions, and only two interactions (between signal transduction and protein synthesis; between amino acid metabolism and carbon metabolism) (Supplementary Figure S2).

PRM and qRT-PCR Validation Results

Mass spectrometry-based targeted protein validation (PRM) is a high-resolution, high-precision mass spectrometry-targeted quantification technology that achieves relative or absolute quantification of target proteins/peptides through selective detection of target proteins/peptides. We selected A0A1D5UL37, A0A1D6SEV8, A0A1D5YAL5, A0A1D5YT77, A0A077RXE4, A0A1D6SA87, A0A1D6CB88, A0A1D5U440, and W5A6A7 from 10 groups of 10306 differentially expressed proteins for PRM validation. In each dose of 12C ion beam, 7Li ion beam irradiation treatment group and 60Co-γ ray treatment group, the TMT and PRM results of the changes in the abundance of these 9 proteins were consistent (Figure 6A). We selected three differential proteins, including the disease process-related protein (A0A341TFF2), chitinase (A0A023W4F1) and catalase (A0A1D6SEV8) corresponding genes TraesCS4A02G116400, TraesCS3A02G260100 and TraesCSU02G105300 for qRT-PCR verification. The expression levels of three protein-coding genes increased in the 40 Gy, 60 Gy, and 80 Gy 12C ion beam treatment groups, and the results were consistent with the data obtained by proteomic analysis (Figure 6B).

FIGURE 6
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FIGURE 6. PRM verification. (A) Water drop diagram of quantitative comparison results between TMT and PRM of 9 proteins. (B) qRT-PCR results of the corresponding genes of three differentially expressed proteins.

qRT-PCR Results of Differentially Expressed Protein Genes

We selected three differential proteins, including the disease pathogenesis-related protein (A0A341TFF2), chitinase (A0A023W4F1) and catalase (A0A1D6SEV8) corresponding genes TraesCS4A02G116400, TraesCS3A02G260100 and TraesCSU02G105300 for qRT-PCR verification. The expression levels of three protein-coding genes increased, and the results were consistent with the data obtained by proteomic analysis (Supplementary Figure 3).

Discussion

Plant Defense Systems Are Fully Mobilized in Response to Radiation Treatment

Generally, when plants signalled abiotic stress, a complex, and efficient defense systems are activated, such as enzymatic antioxidants, non-enzymatic antioxidants, osmotic regulators, and glyoxalase systems (Kim et al., 2010). Stresses such as high salt, drought, UV radiation, heavy metals, and extreme temperatures will eventually led to oxidative stress, increasing the content of antioxidant enzymes, such as catalase (CAT), peroxidase (POD) in antioxidant defense mechanisms, superoxide dismutase (SOD) (Gill and Tuteja, 2010; Anjum et al., 2016). In our study, the proteomic data of the 12C, 7Li ion beam, and 60Co-γ-ray radiation-treated groups, the main antioxidant systems involved in the radiation response included the antioxidant GSH, glutamate metabolism, and the aldolase system (Figure 7). Glutamine synthase (GS) catalyzes the production of GSH from glutamylcysteine and glycine (Vaish et al., 2020). Glutathione peroxidase (GPX) and glutaredoxin (GRX) oxidize H2O2 and disulfide (R-S-S-R′) to (H-S-S-R), H2O, and GSSG in the presence of GSH (Xiao et al., 2019). The ascorbic acid-glutathione cycle (AsA-GSH) plays the role of “core of redox signaling” in stress-threatened plants and is involved in key processes of hydrogen peroxide metabolism, and its key enzymes include ascorbic acid peroxide (APX) and monodehydroascorbate reductase (MDHAR) (Foyer and Noctor, 2011; Tanaka et al., 2021). In response to radiation, wheat seedlings scavenge H2O2 and disulfide P (SSG) through GSH-dependent GPX, GRX, and GS, as well as the ascorbic acid-glutathione cycle. Glutamate (Glu) metabolism also plays an important role in stress resistance. Under the action of glutamate decarboxylase (GAD) and delta-1-pyrroline-5-carboxylic acid synthase (P5CS), glutamate is converted into antioxidants gamma-aminobutyric acid (GABA) and proline, respectively (Pro), maintains intracellular redox homeostasis (Kaur and Asthir, 2015). GABA in turn generate succinate under the action of succinate semialdehyde dehydrogenase (SSADH) and return to the TCA cycle (Hijaz et al., 2018). The expressions of GAD, P5CS, and SSADH were up-regulated after irradiation, indicating that multiple antioxidant pathways related to glutamate metabolism were also involved in the oxidative stress response induced by radiation. In addition, aldolase I (GLY I) and DJ-1 (GLY III) were differentially upregulated in the aldolase detoxification system. The GSH-dependent aldolase detoxification system consists of GLY I and GLY II, and the independent pathway is a shorter, metal-independent and GSH-independent pathway, which is acted by the DJ-1 protein (Banerjee et al., 2020). Methylglyoxal (MG), which is easy to form toxic substances, is converted into pyruvate by the acetylase system and enters the TCA cycle, and is reused (Bhowal et al., 2020).

FIGURE 7
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FIGURE 7. Schematic diagram of differential proteins involved in heavy ion beam radiation stress response. MG: Methylglyoxal; HTA: Hemithioacetal; SLG: S-d-lactosylglutathione; SSADH: Succinic semialdehyde dehydrogenase; GAD: Glutamate decarboxylase; GS: Glutamine synthase; GRX: Glutaredoxin; GPX: Glutathione peroxidase; APX: Ascorbate peroxidase; MDHAR: Monodehydroascorbate reductase; GLYI: Acetalase I; DJ-1: GLY III; PYL: ABA receptor; SnRK2: SNF1-related protein kinase; PR-1: pathogenesis-related protein; MAKK5: Mitogen-activated protein kinase5; ChiB: chitinase; CAT: Catalase. Red indicates differentially up-regulated proteins.

We selected representative proteins related to antioxidant effects after radiation treatment for PRM verification, including the above-mentioned POD, CAT, GAD, APX, P5CS, SSADH, GLY I, and GLY III. The expression changes of these proteins were correlated with the quantitative results of TMT. consistent (Figure 6A).

The Effects of 12C and 7Li Ion Beam Irradiation Treatments on Photosynthesis and Photorespiration Were Different

Photosynthesis is the most basic and complex physiological process in plants, including photosynthetic pigments and photosystem, electron transport system, and CO2 reduction pathway, so damage caused by any level of stress may reduce the overall photosynthetic capacity of green plants (Ashraf and Harris, 2013). For example, UV-B irradiation reduces photosynthetic pigments in wheat and damages photosystem response center proteins (Zu et al., 2004; Qiu et al., 2007; Joshi et al., 2011; Henderson et al., 2013). Low-dose stress maintains a higher concentration of chlorophyll to tolerate the stress, while high-level stress inhibits the synthesis and accumulation of chlorophyll (Agathokleous et al., 2020). In addition, the photorespiration cycle interacts with photosynthesis and amino acid metabolism and also functions to remove toxic metabolites. Research showed that photorespiration is inhibited under high temperature, strong light, drought, and salt stress (Liu et al., 2019; Timm et al., 2019).

Our results showed that 12C ion beam and 60Co-γ-ray irradiation treatment resulted in down-regulated expression of proteins related to photosynthesis and photorespiration, while the 7Li ion beam irradiation treatment group had no difference. For example, photosystem I, photosystem II, and electron carriers are involved in the light reaction in photosynthesis, ribulose-1,5-bisphosphate carboxylase (Rubisco) involved in the dark reaction, and NADPH-pro, a key enzyme in chlorophyll synthesis. Chlorophyll oxidoreductase (POR) and protoporphyrinogen IX oxidase (PPO) were differentially downregulated. Glycerate-3-kinase (GLYK), ferredoxin-dependent glutamate synthase (GOGAT), CAT, glutamate: glyoxylate aminotransferase (GGT), glycine decarboxylase (GDC), and serine hydroxymethyltransferase (SHMT) were differentially downregulated. The light and dark reactions of photosynthesis and photorespiration were inhibited after 12C ion beam and 60Co-γ-ray irradiation treatment, which slowed down the growth rate of wheat seedlings, showing that the damage rate of seedling height and root length increased with the increase of treatment dose. Increased dose effect. However, 7Li ion beam treatment had less effect on photosynthesis and photorespiration, and the physiological damage effect on wheat seedling growth was different from 12C ion beam and 60Co-γ-ray irradiation.

The Synthesis of Biological Macromolecules Such as Proteins Is Affected by Radiation

The heat shock protein family consists of constitutive and stress-inducible types, including small HSP, HSP40, HSP70, HSP90, and their related molecular chaperones (Kampinga et al., 2009). HSP/chaperones are major components of multiple stress responses, of which HSP70 and HSP90 are involved in signal transduction, protein targeting, and degradation (Jacob et al., 2017). Under heat stress conditions, HSP70 interacts with phospholipase to regulate phospholipid metabolism, while HSP90.1 plays a role in plant heat tolerance by interacting with autophagy receptors to mediate degradation (Song et al., 2021; Thirumalaikumar et al., 2021). Our results indicated that multiple heat shock proteins were differentially expressed in the three radiation-treated groups, including HSP90, HSP70, HSP83, HSP26, smHSP, and smHSP24.1, smHSP23.6, smHSP23.2, smHSP 22.3, and HSP17.9. Therefore, protein quality control plays an important role in the recovery of wheat seedlings after radiation stress.

12C Ion Beam Radiation Treatment Induces Activation of the MAPK Signaling Pathway

The mitogen-activated protein kinase cascade (MAPK cascade) acts downstream of receptors/signal receptors to coordinate cellular responses for normal plant growth and development, immune responses, and responses to abiotic stresses (Meng and Zhang, 2013; Xu and Zhang, 2015; Zhang et al., 2018). MKK4/5 activates MPK3/6 in MAPK signaling (Cai et al., 2014; Zipfel, 2014; Langner and Gohre, 2016; Giese et al., 2018). In addition, UV-B, heat stress, etc. can activate MPK3/6 signaling, act on the downstream transcription factor EIN3 to induce the accumulation of chitinase or activate the expression of disease process-related proteins (PR) and CAT-encoding genes (Rakwal et al., 2004; Yoo et al., 2008; Bethke et al., 2009; An et al., 2010; An et al., 2021; Kumar et al., 2021). 12C ion beam radiation treatment resulted in differential upregulation of mitogen-activated protein kinase 3 (MPK3), mitogen-activated protein kinase 5 (MKK5), disease process-related protein (PR1), chitinase (ChiB) and CAT, while 7Li PR1 and ChiB were differentially downregulated in the ion beam treated group. We selected PR1 (TraesCS4A02G116400), ChiB (TraesCS3A02G260100) and CAT (TraesCSU02G105300) genes for qRT-PCR validation (Figure 6B). The expression of PR, ChiB, and CAT genes increased in the 12C ion beam irradiation group, suggesting that the accumulation of PR, ChiB and CAT proteins may be the result of transcriptional regulation (Figure 7).

In addition, SNF1-related protein kinase (SnRK2) is a positive regulator in the ABA signal transduction pathway, and the ABA receptor PYL activates SnRK2 by blocking the action of its inhibitor PP2C and regulates the expression of downstream ABA-related defense genes (Gong et al., 2020; Maszkowska et al., 2021). We also selected the SnRK2 protein involved in signal transduction for PRM verification, which was consistent with the quantitative results of TMT. Therefore, SnRK2 and ABA receptor (PYL) were differentially up-regulated in the 12C ion beam radiation treatment group, which may activate the ABA signal transduction, and initiate the stress response, induce related functional genes to make various adaptive responses to alleviate the cellular damage.

Conclusion

In conclusion, whether it is the phenotypic effect or the distribution and functional classification of differentially expressed proteins in the proteome, the physiological effect of 12C ion beam irradiation in the growth period of wheat seedlings is closer to that of 60Co-γ ray, but the effect is deeper at the same dose. However, the physiological effects of 7Li ion beam radiation treatment are quite different from the former, which are related to the different action principles of different types of heavy-ion beam radiation on organisms.

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 in the article/Supplementary Material.

Author Contributions

LL and JG designed these experiments. JG and YL analyzed the data and prepared all the graphs. All authors have read and approved the final manuscript.

Funding

This work was supported by the Nuclear energy development research program of the State Administration of Science, Technology, and Industry for National Defense (Crop Varietal Improvement and Insect Pests Control by Nuclear Radiation).

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.

Supplementary Material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fgene.2022.942806/full#supplementary-material

References

Agathokleous, E., Feng, Z., and Peñuelas, J. (2020). Chlorophyll Hormesis: Are Chlorophylls Major Components of Stress Biology in Higher Plants? Sci. Total Environ. 726, 138637. doi:10.1016/j.scitotenv.2020.138637

PubMed Abstract | CrossRef Full Text | Google Scholar

An, F., Zhao, Q., Ji, Y., Li, W., Jiang, Z., Yu, X., et al. (2010). Ethylene-Induced Stabilization of ETHYLENE INSENSITIVE3 and EIN3-LIKE1 Is Mediated by Proteasomal Degradation of EIN3 Binding F-Box 1 and 2 that Requires EIN2 in Arabidopsis. Plant Cell 22 (7), 2384–2401. doi:10.1105/tpc.110.076588

PubMed Abstract | CrossRef Full Text | Google Scholar

An, J., Kim, S. H., Bahk, S., Vuong, U. T., Nguyen, N. T., Do, H. L., et al. (2021). Naringenin Induces Pathogen Resistance against Pseudomonas syringae through the Activation of NPR1 in Arabidopsis. Front. Plant Sci. 12, 672552. doi:10.3389/fpls.2021.672552

PubMed Abstract | CrossRef Full Text | Google Scholar

Anjum, N. A., Sharma, P., Gill, S. S., Hasanuzzaman, M., Khan, E. A., Kachhap, K., et al. (2016). Catalase and Ascorbate Peroxidase-Representative H2O2-Detoxifying Heme Enzymes in Plants. Environ. Sci. Pollut. Res. 23 (19), 19002–19029. doi:10.1007/s11356-016-7309-6

CrossRef Full Text | Google Scholar

Ashraf, M., and Harris, P. J. C. (2013). Photosynthesis under Stressful Environments: An Overview. Photosynt. 51 (2), 163–190. doi:10.1007/s11099-013-0021-6

CrossRef Full Text | Google Scholar

Banerjee, A., Samanta, S., and Roychoudhury, A. (2020). Spermine Ameliorates Prolonged Fluoride Toxicity in Soil-Grown Rice Seedlings by Activating the Antioxidant Machinery and Glyoxalase System. Ecotoxicol. Environ. Saf. 189, 109737. doi:10.1016/j.ecoenv.2019.109737

PubMed Abstract | CrossRef Full Text | Google Scholar

Bethke, G., Unthan, T., Uhrig, J. F., Pöschl, Y., Gust, A. A., Scheel, D., et al. (2009). Flg22 Regulates the Release of an Ethylene Response Factor Substrate from MAP Kinase 6 in Arabidopsis thaliana via Ethylene Signaling. Proc. Natl. Acad. Sci. U.S.A. 106 (19), 8067–8072. doi:10.1073/pnas.0810206106

PubMed Abstract | CrossRef Full Text | Google Scholar

Bhowal, B., Singla-Pareek, S. L., Sopory, S. K., and Kaur, C. (2020). From Methylglyoxal to Pyruvate: a Genome-wide Study for the Identification of Glyoxalases and D-Lactate Dehydrogenases in Sorghum Bicolor. BMC Genomics 21 (1), 145. doi:10.1186/s12864-020-6547-7

PubMed Abstract | CrossRef Full Text | Google Scholar

Bradshaw, J. E. (2017). Plant Breeding: Past, Present and Future. Euphytica 213 (60). doi:10.1007/s10681-016-1815-y

CrossRef Full Text | Google Scholar

Cabanos, C. S., Katayama, H., Urabe, H., Kuwata, C., Murota, Y., Abe, T., et al. (2012). Heavy-ion Beam Irradiation Is an Effective Technique for Reducing Major Allergens in Peanut Seeds. Mol. Breed. 30 (2), 1037–1044. doi:10.1007/s11032-011-9687-2

CrossRef Full Text | Google Scholar

Cai, G., Wang, G., Wang, L., Liu, Y., Pan, J., and Li, D. (2014). A Maize Mitogen-Activated Protein Kinase Kinase, ZmMKK1, Positively Regulated the Salt and Drought Tolerance in Transgenic Arabidopsis. J. Plant Physiology 171 (12), 1003–1016. doi:10.1016/j.jplph.2014.02.012

CrossRef Full Text | Google Scholar

Chen, S.-T., He, N.-Y., Chen, J.-H., and Guo, F.-Q. (2017). Identification of Core Subunits of Photosystem II as Action Sites of HSP21, Which Is Activated by the GUN5-Mediated Retrograde Pathway in Arabidopsis. Plant J. 89 (6), 1106–1118. doi:10.1111/tpj.13447

PubMed Abstract | CrossRef Full Text | Google Scholar

Dong, X., and Li, W. (2012). Biological Features of an Early-Maturity Mutant of Sweet Sorghum Induced by Carbon Ions Irradiation and its Genetic Polymorphism. Adv. Space Res. 50 (4), 496–501. doi:10.1016/j.asr.2012.04.028

CrossRef Full Text | Google Scholar

Fitzgerald, T. L., Powell, J. J., Stiller, J., Weese, T. L., Abe, T., Zhao, G., et al. (2015). An Assessment of Heavy Ion Irradiation Mutagenesis for Reverse Genetics in Wheat (Triticum aestivum L.). PLoS One 10 (2), e0117369. doi:10.1371/journal.pone.0117369

PubMed Abstract | CrossRef Full Text | Google Scholar

Foyer, C. H., and Noctor, G. (2011). Ascorbate and Glutathione: the Heart of the Redox Hub. Plant Physiol. 155 (1), 2–18. doi:10.1104/pp.110.167569

PubMed Abstract | CrossRef Full Text | Google Scholar

Gao, L., Wang, X., Li, Y., and Han, R. (2019). Chloroplast Proteomic Analysis of Triticum aestivum L. Seedlings Responses to Low Levels of UV-B Stress Reveals Novel Molecular Mechanism Associated with UV-B Tolerance. Environ. Sci. Pollut. Res. 26 (7), 7143–7155. doi:10.1007/s11356-019-04168-4

PubMed Abstract | CrossRef Full Text | Google Scholar

Gao, Y., Liu, X., Tang, B., Li, C., Kou, Z., Li, L., et al. (2017). Protein Expression Landscape of Mouse Embryos during Pre-implantation Development. Cell Rep. 21 (13), 3957–3969. doi:10.1016/j.celrep.2017.11.111

PubMed Abstract | CrossRef Full Text | Google Scholar

Giese, W., Milicic, G., Schröder, A., and Klipp, E. (2018). Spatial Modeling of the Membrane-Cytosolic Interface in Protein Kinase Signal Transduction. PLoS Comput. Biol. 14 (4), e1006075. doi:10.1371/journal.pcbi.1006075

PubMed Abstract | CrossRef Full Text | Google Scholar

Gill, S. S., and Tuteja, N. (2010). Reactive Oxygen Species and Antioxidant Machinery in Abiotic Stress Tolerance in Crop Plants. Plant Physiology Biochem. 48 (12), 909–930. doi:10.1016/j.plaphy.2010.08.016

CrossRef Full Text | Google Scholar

Gong, Z., Xiong, L., Shi, H., Yang, S., Herrera-Estrella, L. R., Xu, G., et al. (2020). Plant Abiotic Stress Response and Nutrient Use Efficiency. Sci. China Life Sci. 63 (5), 635–674. doi:10.1007/s11427-020-1683-x

PubMed Abstract | CrossRef Full Text | Google Scholar

Hase, Y., Yoshihara, R., Nozawa, S., and Narumi, I. (2012). Mutagenic Effects of Carbon Ions Near the Range End in Plants. Mutat. Research/Fundamental Mol. Mech. Mutagen. 731 (1-2), 41–47. doi:10.1016/j.mrfmmm.2011.10.004

CrossRef Full Text | Google Scholar

Henderson, J. N., Hazra, S., Dunkle, A. M., Salvucci, M. E., and Wachter, R. M. (2013). Biophysical Characterization of Higher Plant Rubisco Activase. Biochimica Biophysica Acta (BBA) - Proteins Proteomics 1834 (1), 87–97. doi:10.1016/j.bbapap.2012.09.006

PubMed Abstract | CrossRef Full Text | Google Scholar

Hijaz, F., Nehela, Y., and Killiny, N. (2018). Application of Gamma-Aminobutyric Acid Increased the Level of Phytohormones in Citrus Sinensis. Planta 248 (4), 909–918. doi:10.1007/s00425-018-2947-1

PubMed Abstract | CrossRef Full Text | Google Scholar

Horton, P., Park, K.-J., Obayashi, T., Fujita, N., Harada, H., Adams-Collier, C. J., et al. (2007). WoLF PSORT: Protein Localization Predictor. Nucleic Acids Res. 35, W585–W587. doi:10.1093/nar/gkm259

PubMed Abstract | CrossRef Full Text | Google Scholar

Jacob, P., Hirt, H., and Bendahmane, A. (2017). The Heat-Shock Protein/chaperone Network and Multiple Stress Resistance. Plant Biotechnol. J. 15 (4), 405–414. doi:10.1111/pbi.12659

PubMed Abstract | CrossRef Full Text | Google Scholar

Joshi, P., Gartia, S., Pradhan, M. K., and Biswal, B. (2011). Photosynthetic Response of Clusterbean Chloroplasts to UV-B Radiation: Energy Imbalance and Loss in Redox Homeostasis between QA and QB of Photosystem II. Plant Sci. 181 (2), 90–95. doi:10.1016/j.plantsci.2011.04.001

PubMed Abstract | CrossRef Full Text | Google Scholar

Kampinga, H. H., Hageman, J., Vos, M. J., Kubota, H., Tanguay, R. M., Bruford, E. A., et al. (2009). Guidelines for the Nomenclature of the Human Heat Shock Proteins. Cell Stress Chaperones 14 (1), 105–111. doi:10.1007/s12192-008-0068-7

PubMed Abstract | CrossRef Full Text | Google Scholar

Kaur, G., and Asthir, B. (2015). Proline: a Key Player in Plant Abiotic Stress Tolerance. Biol. plant. 59 (4), 609–619. doi:10.1007/s10535-015-0549-3

CrossRef Full Text | Google Scholar

Kikuchi, S., Saito, Y., Ryuto, H., Fukunishi, N., Abe, T., Tanaka, H., et al. (2009). Effects of Heavy-Ion Beams on Chromosomes of Common Wheat, Triticum aestivum. Mutat. Research/Fundamental Mol. Mech. Mutagen. 669 (1-2), 63–66. doi:10.1016/j.mrfmmm.2009.05.001

CrossRef Full Text | Google Scholar

Kim, M. J., Ciani, S., and Schachtman, D. P. (2010). A Peroxidase Contributes to ROS Production during Arabidopsis Root Response to Potassium Deficiency. Mol. Plant 3 (2), 420–427. doi:10.1093/mp/ssp121

PubMed Abstract | CrossRef Full Text | Google Scholar

Kumar, R. R., Dubey, K., Arora, K., Dalal, M., Rai, G. K., Mishra, D., et al. (2021). Characterizing the Putative Mitogen-Activated Protein Kinase (MAPK) and Their Protective Role in Oxidative Stress Tolerance and Carbon Assimilation in Wheat under Terminal Heat Stress. Biotechnol. Rep. 29, e00597. doi:10.1016/j.btre.2021.e00597

CrossRef Full Text | Google Scholar

Langner, T., and Göhre, V. (2016). Fungal Chitinases: Function, Regulation, and Potential Roles in Plant/pathogen Interactions. Curr. Genet. 62 (2), 243–254. doi:10.1007/s00294-015-0530-x

PubMed Abstract | CrossRef Full Text | Google Scholar

Li, B., Zhao, L., Zhang, S., Cai, H., Xu, L., An, B., et al. (2022). The Mutational, Epigenetic, and Transcriptional Effects between Mixed High-Energy Particle Field (CR) and 7Li-Ion Beams (LR) Radiation in Wheat M1 Seedlings. Front. Plant Sci. 13, 878420. doi:10.3389/fpls.2022.878420

PubMed Abstract | CrossRef Full Text | Google Scholar

Liu, Y., Mauve, C., Lamothe‐Sibold, M., Guérard, F., Glab, N., Hodges, M., et al. (2019). Photorespiratory Serine Hydroxymethyltransferase 1 Activity Impacts Abiotic Stress Tolerance and Stomatal Closure. Plant Cell Environ. 42 (9), 2567–2583. doi:10.1111/pce.13595

PubMed Abstract | CrossRef Full Text | Google Scholar

Maszkowska, J., Szymańska, K. P., Kasztelan, A., Krzywińska, E., Sztatelman, O., and Dobrowolska, G. (2021). The Multifaceted Regulation of SnRK2 Kinases. Cells 10 (9), 2180. doi:10.3390/cells10092180

PubMed Abstract | CrossRef Full Text | Google Scholar

Meng, X., and Zhang, S. (2013). MAPK Cascades in Plant Disease Resistance Signaling. Annu. Rev. Phytopathol. 51, 245–266. doi:10.1146/annurev-phyto-082712-102314

PubMed Abstract | CrossRef Full Text | Google Scholar

Morishita, T., Yamaguchi, H., Degi, K., Shikazono, N., Hase, Y., Tanaka, A., et al. (2003). Dose Response and Mutation Induction by Ion Beam Irradiation in Buckwheat. Nucl. Instrum. Methods Phys. Res. Sect. B Beam Interact. Mater. Atoms 206, 565–569. doi:10.1016/S0168-583x(03)00826-7

CrossRef Full Text | Google Scholar

Nawaz, Z. S. Q., and Shu, Q. (2014). Molecular Nature of Chemically and Physically Induced Mutants in Plants: A Review. Plant Genet. Resour. 12 (S1), S74–S78. doi:10.1017/S1479262114000318

CrossRef Full Text | Google Scholar

Qiu, Z.-B., Zhu, X.-J., Li, F.-M., Liu, X., and Yue, M. (2007). The Optical Effect of a Semiconductor Laser on Protecting Wheat from UV-B Radiation Damage. Photochem. Photobiol. Sci. 6 (7), 788–793. doi:10.1039/b618131g

PubMed Abstract | CrossRef Full Text | Google Scholar

Rakwal, R., Yang, G., and Komatsu, S. (2004). Chitinase Induced by Jasmonic Acid, Methyl Jasmonate, Ethylene and Protein Phosphatase Inhibitors in Rice. Mol. Biol. Rep. 31 (2), 113–119. doi:10.1023/b:mole.0000031407.18708.95

PubMed Abstract | CrossRef Full Text | Google Scholar

Rasche, H., and Hiltemann, S. (2020). Galactic Circos: User-Friendly Circos Plots within the Galaxy Platform. Gigascience 9 (6), giaa065. doi:10.1093/gigascience/giaa065

PubMed Abstract | CrossRef Full Text | Google Scholar

Shikazono, N., Suzuki, C., Kitamura, S., Watanabe, H., Tano, S., and Tanaka, A. (2005). Analysis of Mutations Induced by Carbon Ions in Arabidopsis thaliana*. J. Exp. Bot. 56 (412), 587–596. doi:10.1093/jxb/eri047

PubMed Abstract | CrossRef Full Text | Google Scholar

Sikora, P., Chawade, A., Larsson, M., Olsson, J., and Olsson, O. (2011). Mutagenesis as a Tool in Plant Genetics, Functional Genomics, and Breeding. Int. J. plant genomics 2011, 314829. doi:10.1155/2011/314829

PubMed Abstract | CrossRef Full Text | Google Scholar

Song, P., Jia, Q., Xiao, X., Tang, Y., Liu, C., Li, W., et al. (2021). HSP70-3 Interacts with Phospholipase Dδ and Participates in Heat Stress Defense. Plant Physiol. 185 (3), 1148–1165. doi:10.1093/plphys/kiaa083

PubMed Abstract | CrossRef Full Text | Google Scholar

Tanaka, M., Takahashi, R., Hamada, A., Terai, Y., Ogawa, T., Sawa, Y., et al. (2021). Distribution and Functions of Monodehydroascorbate Reductases in Plants: Comprehensive Reverse Genetic Analysis of Arabidopsis thaliana Enzymes. Antioxidants 10 (11), 1726. doi:10.3390/antiox10111726

PubMed Abstract | CrossRef Full Text | Google Scholar

Thirumalaikumar, V. P., Gorka, M., Schulz, K., Masclaux-Daubresse, C., Sampathkumar, A., Skirycz, A., et al. (2021). Selective Autophagy Regulates Heat Stress Memory in Arabidopsis by NBR1-Mediated Targeting of HSP90.1 and ROF1. Autophagy 17 (9), 2184–2199. doi:10.1080/15548627.2020.1820778

PubMed Abstract | CrossRef Full Text | Google Scholar

Timm, S., Woitschach, F., Heise, C., Hagemann, M., and Bauwe, H. (2019). Faster Removal of 2-Phosphoglycolate through Photorespiration Improves Abiotic Stress Tolerance of Arabidopsis. Plants 8 (12), 563. doi:10.3390/plants8120563

PubMed Abstract | CrossRef Full Text | Google Scholar

Vaish, S., Gupta, D., Mehrotra, R., Mehrotra, S., and Basantani, M. K. (2020). Glutathione S-Transferase: a Versatile Protein Family. 3 Biotech. 10 (7), 321. doi:10.1007/s13205-020-02312-3

PubMed Abstract | CrossRef Full Text | Google Scholar

Vennapusa, A. R., Somayanda, I. M., Doherty, C. J., and Jagadish, S. V. K. (2020). A Universal Method for High-Quality RNA Extraction from Plant Tissues Rich in Starch, Proteins and Fiber. Sci. Rep. 10 (1), 16887. doi:10.1038/s41598-020-73958-5

PubMed Abstract | CrossRef Full Text | Google Scholar

Wang, Y., Cheng, X., Yang, T., Su, Y., Lin, S., Zhang, S., et al. (2021). Nitrogen-Regulated Theanine and Flavonoid Biosynthesis in Tea Plant Roots: Protein-Level Regulation Revealed by Multiomics Analyses. J. Agric. Food Chem. 69 (34), 10002–10016. doi:10.1021/acs.jafc.1c02589

PubMed Abstract | CrossRef Full Text | Google Scholar

Wei, Y., Jiang, C., Han, R., Xie, Y., Liu, L., and Yu, Y. (2020). Plasma Membrane Proteomic Analysis by TMT-PRM Provides Insight into Mechanisms of Aluminum Resistance in Tamba Black Soybean Roots Tips. Peerj 8, e9312. doi:10.7717/peerj.9312

PubMed Abstract | CrossRef Full Text | Google Scholar

Xiao, Z., La Fontaine, S., Bush, A. I., and Wedd, A. G. (2019). Molecular Mechanisms of Glutaredoxin Enzymes: Versatile Hubs for Thiol-Disulfide Exchange between Protein Thiols and Glutathione. J. Mol. Biol. 431 (2), 158–177. doi:10.1016/j.jmb.2018.12.006

PubMed Abstract | CrossRef Full Text | Google Scholar

Xiong, H., Guo, H., Xie, Y., Gu, J., Zhao, L., Zhao, S., et al. (2020). Comparative Transcriptome Analysis of Two Common Wheat Varieties Induced by 7Li-Ion Beam Irradiation Reveals Mutation Hotspot Regions and Associated Pathways. Radiat. Phys. Chem. 170, 108650. doi:10.1016/j.radphyschem.2019.108650

CrossRef Full Text | Google Scholar

Xu, J., and Zhang, S. (2015). Mitogen-activated Protein Kinase Cascades in Signaling Plant Growth and Development. Trends Plant Sci. 20 (1), 56–64. doi:10.1016/j.tplants.2014.10.001

PubMed Abstract | CrossRef Full Text | Google Scholar

Yin, Y., Qi, F., Gao, L., Rao, S., Yang, Z., and Fang, W. (2018). iTRAQ-Based Quantitative Proteomic Analysis of Dark-Germinated Soybeans in Response to Salt Stress. RSC Adv. 8, 17905–17913. doi:10.1039/C8RA02996B

PubMed Abstract | CrossRef Full Text | Google Scholar

Yoo, S.-D., Cho, Y.-H., Tena, G., Xiong, Y., and Sheen, J. (2008). Dual Control of Nuclear EIN3 by Bifurcate MAPK Cascades in C2H4 Signalling. Nature 451 (7180), 789–795. doi:10.1038/nature06543

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhang, J., Xiong, H., Guo, H., Li, Y., Xie, X., Xie, Y., et al. (2022). Identification of the Q Gene Playing a Role in Spike Morphology Variation in Wheat Mutants and its Regulatory Network. Front. Plant Sci. 12, 807731. doi:10.3389/fpls.2021.807731

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhang, M., Su, J., Zhang, Y., Xu, J., and Zhang, S. (2018). Conveying Endogenous and Exogenous Signals: MAPK Cascades in Plant Growth and Defense. Curr. Opin. Plant Biol. 45, 1–10. doi:10.1016/j.pbi.2018.04.012

PubMed Abstract | CrossRef Full Text | Google Scholar

Zheng, M., Wang, Y., Liu, K., Shu, H., and Zhou, Z. (2012). Protein Expression Changes during Cotton Fiber Elongation in Response to Low Temperature Stress. J. Plant Physiology 169 (4), 399–409. doi:10.1016/j.jplph.2011.09.014

PubMed Abstract | CrossRef Full Text | Google Scholar

Zipfel, C. (2014). Plant Pattern-Recognition Receptors. Trends Immunol. 35 (7), 345–351. doi:10.1016/j.it.2014.05.004

PubMed Abstract | CrossRef Full Text | Google Scholar

Zu, Y., Li, Y., Chen, J., and Chen, H. (2004). Intraspecific Responses in Grain Quality of 10 Wheat Cultivars to Enhanced UV-B Radiation under Field Conditions. J. Photochem. Photobiol. B Biol. 74 (2-3), 95–100. doi:10.1016/j.jphotobiol.2004.01.006

CrossRef Full Text | Google Scholar

Keywords: 12C ion beam, 7Li ion beam, proteomics, TMT, wheat

Citation: Li Y, Gu J, Irshad A, Zhao L, Guo H, Xiong H, Xie Y, Zhao S, Ding Y, Zhou L, Kong F, Fang Z and Liu L (2022) Physiological and Differential Proteomic Analysis at Seedling Stage by Induction of Heavy-Ion Beam Radiation in Wheat Seeds. Front. Genet. 13:942806. doi: 10.3389/fgene.2022.942806

Received: 13 May 2022; Accepted: 20 June 2022;
Published: 19 July 2022.

Edited by:

Ali Raza, Fujian Agriculture and Forestry University, China

Reviewed by:

Zulqurnain Khan, Muhammad Nawaz Shareef University of Agriculture, Pakistan
Awais Rasheed, Quaid-i-Azam University, Pakistan
Manzar Abbas, Yibin University, China

Copyright © 2022 Li, Gu, Irshad, Zhao, Guo, Xiong, Xie, Zhao, Ding, Zhou, Kong, Fang and Liu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Luxiang Liu, liuluxiang@caas.cn; Zhengwu Fang, fangzhengwu88@163.com

These authors have contributed equally to this work

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