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Article

Growth and DNA Methylation Alteration in Rice (Oryza sativa L.) in Response to Ozone Stress

1
Laboratory of Plant Epigenetics and Evolution, School of Life Sciences, Liaoning University, Shenyang 110036, China
2
Academy of Agricultural and Forestry Sciences, Qinghai University, Xining 810016, China
3
Department of Genetics, University of Georgia, Athens, GA 30602, USA
4
CAS Key Laboratory of Forest Ecology and Management, Institute of Applied Ecology, Shenyang 110016, China
*
Authors to whom correspondence should be addressed.
These authors contributed equally to this work.
Genes 2023, 14(10), 1888; https://doi.org/10.3390/genes14101888
Submission received: 30 August 2023 / Revised: 21 September 2023 / Accepted: 27 September 2023 / Published: 28 September 2023

Abstract

:
With the development of urban industrialization, the increasing ozone concentration (O3) at ground level stresses on the survival of plants. Plants have to adapt to ozone stress. DNA methylation is crucial for a rapid response to abiotic stress in plants. Little information is known regarding the epigenetic response of DNA methylation of plants to O3 stress. This study is designed to explore the epigenetic mechanism and identify a possible core modification of DNA methylation or genes in the plant, in response to O3 stress. We investigated the agronomic traits and genome-wide DNA methylation variations of the Japonica rice cultivar Nipponbare in response to O3 stress at three high concentrations (80, 160, and 200 nmol·mol−1), simulated using open-top chambers (OTC). The flag leaf length, panicle length, and hundred-grain weight of rice showed beneficial effects at 80 nmol·mol−1 O3 and an inhibitory effect at both 160 and 200 nmol·mol−1 O3. The methylation-sensitive amplified polymorphism results showed that the O3-induced genome-wide methylation alterations account for 14.72–15.18% at three different concentrations. Our results demonstrated that methylation and demethylation alteration sites were activated throughout the O3 stress, mainly at CNG sites. By recovering and sequencing bands with methylation alteration, ten stress-related differentially amplified sequences, widely present on different chromosomes, were obtained. Our findings show that DNA methylation may be an active and rapid epigenetic response to ozone stress. These results can provide us with a theoretical basis and a reference to look for more hereditary information about the molecular mechanism of plant resistance to O3 pollution.

1. Introduction

Ozone (O3), one of the greenhouse gases in the atmosphere, is a colorless gas with a pungent odor and strong oxidability [1,2]. Its concentration has increased in the troposphere with urban industrialization [3]. Some studies speculate a continuous increase in O3 in the troposphere at a 1–2% rate per year from 2015 to 2050, which will rise to 40–60% by 2100 [4]. This may hinder plants’ growth, reducing yields under O3 stress, especially for crops [5,6,7]. O3, with its strong oxidability, can enter plant tissues through stomata and be converted into reactive oxygen species (ROS), producing oxidative stress in plants. As a result, less carbon dioxide enters the leaves due to the decreased plant stomatal conductance, which inhibits carbon assimilation, and reduces the net photosynthetic rate of plants. It also damages cell membranes, lipids, and enzymes, hampering plant growth and development [8,9]. An assessment of O3 pollution in East Asia showed the highest relative yield losses were 42.2%, 32.6%, and 8.6% for rice, wheat, and maize, respectively, in China, resulting in financial losses of $63 billion in East Asia [10]. In addition, the economic loss of crops caused by O3 is expected to be up to $26 billion per year by 2100, posing a significant financial challenge globally [11].
Plants must adapt to the constant change in their living environment [12]. Many studies have shown that epigenetic mechanisms are vital for plant responses to abiotic stress [13,14,15]. DNA methylation, which is the covalent addition of the methyl group at the 5-carbon of the cytosine ring resulting in 5-methylcytosine (5-mC), is regarded as one of the main epigenetic mechanisms that can regulate ontogeny and phylogeny, as well as the primary mechanism for genome defense, stress response, and parental imprinting [16,17]. In plants, cytosine methylation can occur in all contexts (CG, CHG, and CHH, where H is A, T, or C) [18]. Plants can regulate the expression of stress-responsive genes via dynamic changes in DNA methylation, enhancing their adaptability to the environment [16,19]. Previous methylation-sensitive amplified polymorphism (MSAP) analysis revealed that oilseed rape under salt stress was modified by extensive demethylation, enabling its stress tolerance [20]. It was also revealed that Arabidopsis thaliana regulated the dynamic changes in DNA methylation to respond to pathogen stress [21]. In addition, MSAP analysis showed that decreased methylation levels in 5-azaC-induced kenaf seedlings played an essential role in mitigating the damage caused by salt stress [22]. These results suggested that variations in DNA methylation levels and patterns are associated with abiotic stress responses in plants, which vary among plant species.
The increasing O3 concentration in the troposphere is the third-most potent anthropogenic greenhouse gas [11]. As a vital food crop planted and grown in areas and seasons subject to O3 pollution, rice (Oryza sativa L.) is one of the most severely affected crops, with a reduction in its output of up to 42.2% caused by O3 pollution in China alone [10,11]. The cause of the reduced production is now widely believed to be O3 entering into the tissues through leaf stomata and producing reactive oxide species (ROS), such as hydrogen peroxide, followed by oxygenolysis, which damages plant growth and development [23]. In response to the ROS produced by O3 stress, plants must establish important active mechanisms to respond to this abiotic stress, especially at the molecular level. ROS is well-known to induce epigenetic remodeling in biotic or abiotic stress [24,25], but little information is known on the epigenetic response of plants to O3 stress. Therefore, studying epigenetic changes, such as DNA methylation variations under O3 stress in rice, is particularly important.
In this study, we attempt to explore the epigenetic mechanism and identify possible core modification of DNA methylation in rice in response to different concentrations of O3 stress using the MSAP technology. We hypothesized that: (1) DNA methylation is crucial for the rapid response to O3 stress in rice; (2) different concentrations of O3 stress could cause different phenotypic and agronomic changes, which correspond to DNA methylation alterations in rice; (3) given that demethylation is associated with gene expression activation, O3 stress could induce demethylation alteration in rice. Therefore, it will increase the synthesis of osmotic adjustment substances and the activity of antioxidant systems to balance the damage of ROS. To our knowledge, this is the first research to investigate the relationship between DNA methylation variation and O3 stress. These results can provide a theoretical basis and reference for further examining plant resistance mechanisms to O3 stress and for breeding new O3-resistant rice varieties.

2. Materials and Methods

2.1. Plant Materials and O3 Stress Treatment

The Japonica variety Nipponbare (Oryza Sativa Japonica. cv. Nipponbare) was used in this study. The seeds were sterilized in 75% ethanol (v/v) before germination in the dark at 25 °C for 3 days. Germinated seeds were planted in pots containing peat, vermiculite, and perlite (10:1:1, V:V:V). Rice seedlings were grown in an incubator at 28 °C/22 °C(light/dark) until the fourth leaves were fully expanded. All the plants, during the same vegetative growth phase, were moved to the open-top chambers (OTCs) and experienced fumigation under the different O3 concentrations, including control (air concentration, approximately 40 nmol·mol−1), 80 nmol·mol−1, 160 nmol·mol−1, and 200 nmol·mol−1 for 5 d, 10 d, 15 d, 20 d, and 30 d, respectively. Three OTCs (replicates) were used for one treatment. The OTC design information and O3 control systems are described in Xu et al. [26]. During the experiment, leaf tissues from the different treatments were collected, frozen in liquid nitrogen, and stored at −80 °C. Three replicates at each time point were used for DNA methylation analysis.

2.2. Measurement and Statistics of Agronomic Traits of Rice

The agronomic traits (panicle length, hundred-grain weight, flag leaf length, and flag leaf width) of rice were measured after 30 days of O3 exposure at each concentration. Then, the data were processed and counted with SPSS 25.0 and R software. The t-test was used for significant difference analysis between the different treatment and control groups (0.01 < p < 0.05, denoted by *; p < 0.01, denoted by **).

2.3. MSAP Analysis on Genome of Rice Leaf

Rice genomic DNA was extracted by modified CTAB and analyzed by MSAP for methylation levels, patterns, and sites [27]. Information on the digestion adaptors and primers is shown in Table S1. The methylation level (MSAP%) was calculated according to the following equation:
MSAP (%) = [(II + III + IV)/(I + II + III + IV)] × 100%

2.4. Isolation and Identification of Specific Variant Bands

Differentially amplified fragments were excised from the gel and incubated at 37 °C for 8 h for further studies. The supernatant was recovered by centrifugation and used for re-amplification, followed by ligation and transformation using DH-5α competent cells (Beijing Dingguo Changsheng Biotechnology Co., Ltd., Beijing, China) and the pUM19-T vector (Beijing Dingguo Changsheng Biotechnology Co., Ltd., Beijing, China). The recombinant DNA fragments were cloned and sequenced for BLAST homology probing based on sequence features.

2.5. DNA Sequence Alignment and Homology Probing

The target variant sequences were input into EnsemblPlants (http://plants.ensembl.org/Setaria_italica/Tools/Blast?db=core, accessed on 6 May 2022), Phytozome (https://phytozome.jgi.doe.gov, accessed on 6 May 2022), and the NCBI website (http://blast.ncbi.nlm.nih.gov/Blast.cgi, accessed on 6 May 2022) for query and comparison. Then, they were explored and localized in the whole rice genome by Blast-N search. Finally, these sequences were queried and compared on the NCBI website (http://blast.ncbi.nlm.nih.gov/Blast.cgi, accessed on 6 May 2022) and subjected to homology probing and analysis by Blast X search.

3. Results

3.1. Damage to Rice Leaves Caused by O3 Stress

The most direct phenotypic damage caused by O3 stress to plants is reflected in their leaves [8]. Observation of rice leaves exposed to the different O3 concentrations (Figure 1) showed no apparent change in the color of leaves compared with the control group following O3 treatment at a concentration of 80 nmol·mol−1, but a significant difference was observed in groups subjected to O3 treatment at 160 nmol·mol−1 and 200 nmol·mol−1. Specifically, chlorosis occurred in rice leaves after 20 days of treatment at 160 nmol·mol−1 O3, with small yellow necrotic lesions on their surface; aggravated chlorosis was observed at 200 nmol·mol−1 O3, with deep yellow and larger necrotic lesions. Compared with 160 nmol·mol−1 O3, the 30-day treatment of 200 nmol·mol−1 O3 caused a more significant increase in the rice damage where the leaf color was close to yellow and showed a large area of brown necrotic lesions.

3.2. Analysis of Agronomic Traits of Rice under Ozone Stress Treatment

We further measured and counted the treated rice’s agronomic traits (flag leaf length, flag leaf width, panicle length, and hundred-grain weight) during the vegetative and reproductive growth phases (Figure 2). The results showed a significant difference between high O3 concentration and the control in the agronomic traits of rice (p < 0.05) except for flag leaf width. A considerably long panicle length and flag leaf length were observed at 80 nmol·mol−1 O3 compared with the control group; the flag leaf length was significantly inhibited at 160 nmol·mol−1 O3 (p < 0.05), and the panicle length and hundred-grain weight were significantly inhibited at 200 nmol·mol−1 O3 (p < 0.01). Despite finding no significant difference in the agronomic trait of flag leaf width compared with the control group, numerically, we found that O3 stimulated its growth at 80 nmol·mol−1 O3 and inhibited its growth at both 160 nmol·mol−1 and 200 nmol·mol−1 O3 compared with the control group.

3.3. Extensive Methylation Alteration in Rice Genomic DNA Induced by Ozone Stress

To analyze the extent of the DNA methylation alteration of rice under O3 stress, the MSAP technique was used to detect the methylation variations of the genome-wide DNA of rice, following O3 stress treatment at different concentrations. There were 1467–1481 clear methylated bands amplified, with 1515 explicit sites (Table 1, Figure 3). The comparative analysis revealed that extensive DNA methylation variations were induced rapidly after 5 days of O3 treatment at all concentrations in rice. According to different digestion combinations, the bands were categorized into four types: non-methylated sites (type I bands) were 1285–1292, accounting for 84.69–85.54% of the total sites; hemimethylated sites (type II bands) were 53–66, accounting for 3.50–4.36% of the total sites; and fully methylated sites (type III and IV bands) were 157–174, accounting for 10.36–11.49% of the total sites. There were 223–230 polymorphic methylated bands (type II + III + IV bands), accounting for 14.72–15.18% of the total number, indicating that O3 stress could induce genome-wide demethylation alteration in rice. Full methylation was higher than hemimethylation, and the methylation rate of the CG sites was higher than that of the other two sites. The overall DNA methylation at the early stage (≤10 d) of O3 stress at three concentrations showed no significant change, while a significant reduction was seen with the increase in treatment time. These showed that DNA methylation could rapidly respond to O3 stress in rice, and that O3 stress at different concentrations caused extensive methylation variations genome-widely, at both fully and hemimethylated sites. In addition, we found significantly fewer type II bands under O3 stress at 80 nmol·mol−1 than at 160 nmol·mol−1 and 200 nmol·mol−1, and the opposite was true for type IV bands.
To further compare and analyze whether O3 stress could induce hypermethylation or hypomethylation alteration in the whole rice genome, the amplification results of MSAP were divided into three categories (Figure 4), including no methylation change, cytosine demethylation, and cytosine hypermethylation. The findings showed that O3 stress at different concentrations could induce extensive demethylation and hypermethylation variations in the rice genome. Among them, the demethylation sites accounted for 0.73–2.18%. Specifically, demethylation sites increased from 0.73% at 5 days to 2.18% at 30 days at 80 nmol·mol−1 O3, and from 1.12% to 1.98% at 160 nmol·mol−1 O3. However, it decreased from 1.25% to 0.99% at 200 nmol·mol−1 O3, showing a rise–fall trend. It showed that with the increase in treatment time, O3 stress at 80 nmol·mol−1 and 160 nmol·mol−1 were more likely to induce demethylation compared with that at 200 nmol·mol−1. In addition, hypermethylation induced by O3 stress at different concentrations accounted for 0.79–1.06% of the overall methylation sites in rice, as shown by the increase in hypermethylation sites from 0.86% at 5 days to 1.06% at 30 days at 80 nmol·mol−1 O3, the lack of increase from 0.86% at both 5 and 30 days at 160 nmol·mol−1 O3, and the decrease from 0.92% at 5 days to 0.79% at 30 days at 200 nmol·mol−1 O3. Overall, O3 in three concentrations induced methylation and demethylation variations in rice samples compared with the control group, with a higher level of demethylation than methylation (Figure 4). In addition, it was interesting that the DNA methylation alteration was more significant in rice at 80 nmol·mol−1 O3, and it was speculated that this DNA methylation and demethylation might regulate more functional gene expression in respond to O3 stress.

3.4. Analysis of Overall DNA Methylation and Demethylation Sites in Rice under Ozone Stress

The hypermethylation and hypomethylation variation sites were counted to further elaborate on the patterns of methylation alteration in the rice genomic DNA after O3 stress (Figure 4). The results showed that the CNG, CG, and CG/CNG sites with hypomethylation accounted for 0.594–1.584%, 0.132–0.396%, and 0.066–1.98% of the total sites, respectively (Figure 4A). The hypomethylation alteration in rice genomic DNA was found at the CNG and CG sites after 5 days of O3 stress treatment at all concentrations and at the new CG/CNG sites after 10 days at 80 nmol·mol−1 O3. Furthermore, increased hypomethylation alterations occurred at the CNG and CG/CNG sites of rice genomic DNA at both 80 nmol·mol−1 and 160 nmol·mol−1 O3; in contrast, a rise–fall trend was found in the hypomethylation alterations at the three sites at 200 nmol·mol−1 O3.
Analysis of the hypermethylation variation sites suggested that hypermethylation that occurred at CNG, CG, and CG/CNG sites accounted for 0.396–0.858%, 0.066–0.132%, and 0.066–0.33% of the total sites, respectively (Figure 4B). The hypermethylation alteration occurred only at the CNG sites at 5 days at 80 nmol·mol−1 O3, while the methylation at CG and CG/CNG sites was activated with increasing O3 concentration. During O3 stress, hypermethylation alteration at the CG/CNG sites showed a rise–fall trend at 80 nmol·mol−1 O3, followed by another continuous increase in the hypermethylation alteration at the CG/CNG sites at both 160 nmol·mol−1 and 200 nmol·mol−1 O3. With the increased treatment time, the hypermethylation alteration of rice genomic DNA could be observed at the CNG, CG, and CG/CNG sites at 30 days at all O3 concentrations. In addition, hypermethylation at the CNG site occurred at all three O3 concentrations.
Most hypermethylation and hypomethylation alterations tended to occur at CNG sites with different alteration patterns. Moreover, the increase in stress activated more hypomethylation and hypermethylation sites to respond to this O3 stress. Thus, this extensive methylation modification in plants may be an important mechanism in their response to ozone stress.

3.5. Differential Methylation Sequence Analysis

To determine the characteristic of DNA methylation variation sequences under O3 stress, 153 bands were cloned and sequenced. A homology comparison suggested that only 9 sequences had high homology (Table 2). Eight of these nine sequences were demethylated. The 9 functional genes were widely distributed on the rice genome, with more variant sequences on chromosome 11. According to the BLAST results, these sequences were homologous to the genes involved in many processes, including hormone regulation, protein transport, plant development, and transposon activation.

4. Discussion

Studies have demonstrated that abiotic stress can induce changes in genome-wide cytosine methylation [20,21], making the correlation between DNA methylation and abiotic stress tolerance a trending topic in plant research [28,29,30,31]. DNA methylation is critical in the plant’s response to adversity and stress. It can regulate gene expression at the epigenetic level by interacting with transcription factors or altering chromosome structure. The MSAP technique was used to assess the extent and pattern of DNA methylation in response to O3 stress. Overall, this study found a link between O3 stress and methylation levels. The results showed that DNA methylation levels were mainly reflected in changes in both full methylation and hemimethylation levels under O3 stress, with the former being higher than the latter. In addition, the overall DNA methylation levels showed no significant change at the early stage (≤10 d) of O3 stress at three concentrations but showed a considerable decrease with increased treatment time. We also found that overall demethylation alteration was detected under the three concentrations of O3 stress, mainly at the CNG site, which was in line with previous findings that the CNG sites are more vulnerable to abiotic stresses [32].
The analysis of rice’s phenotypic and agronomic traits suggested no significant damage in the leaves, and their vegetative and reproductive growth was promoted at 80 nmol·mol−1 O3 compared with the control group. However, the leaf surface showed damage and necrotic lesions at 160 nmol·mol−1 and 200 nmol·mol−1 O3. The higher the O3 concentration, the more severe the damage to the leaf surface, with varying degrees of the inhibition of agronomic traits (Figure 2). This might be explained by more stress-related genes being mobilized by extensive demethylation modification in rice at an O3 concentration of 80 nmol·mol−1 to adapt to O3 stress. Research has reported that purple acid phosphatase (MS99), zinc finger protein family genes (MS111), and L-isoaspartate methyltransferase (MS96) are involved in ROS scavenging, synthesis of metabolites, and the reduction in reactive oxygen species accumulation [33,34]. In addition, phosphoenolpyruvate carboxykinase (MS14, MS78), membrane HPP family proteins (MS93), KH structural domain functional proteins (MS114, MS120), and transposons (MS107) may also play a role in fruit ripening, stomatal opening, and material transport as well as in DNA damage repair [35,36].
O3 stress disrupts the normal physiological homeostasis of plants, which is followed by a massive accumulation of reactive oxygen species, which produce oxidative stress on plants and consequently inhibit plant growth and development [8,9]. In response to abiotic stress, plants mobilize their complex mechanisms, which is encouraged by altered DNA methylation [16,19,28]. We found a significant decrease in DNA methylation levels and extensive demethylation and methylation modifications after 30 days of O3 stress treatment, compared to the control group. Additionally, demethylation was found more frequently compared with methylation, which might be explained by more stress-related genes being activated by O3 stress-induced demethylation in rice genomic DNA to adapt to O3 stress. Therefore, these properties are expected to promote the responses and adaptation of rice to O3 stress; epigenetic changes in the rice genome may be a vital regulatory mechanism for the adaptation of rice to O3 or other environmental stresses.

5. Conclusions

This study showed rice’s agronomic traits effects and genome-wide DNA methylation variations in response to O3 stress at three different concentrations using OTC. Flag leaf length, panicle length, and hundred-grain weight showed beneficial effects at 80 nmol·mol−1 O3 and inhibitory effects at 160 and 200 nmol·mol−1 O3. The methylation-sensitive amplified polymorphism (MSAP) results showed that the O3-induced genome-wide methylation alterations occurred rapidly and accounted for 14.72–15.18% at three different O3 concentrations. Demethylation alteration was detected at the three concentrations, mainly at the CNG sites. There were 153 methylated-sensitive polymorphic sequences obtained. Interestingly, 10 stress-related recovery sequences were annotated, including hormone regulation, protein transport, plant development, and transposon activation. These results can provide a theoretical basis and a reference for more hereditary information about the molecular mechanism of plant resistance to O3 stress.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/genes14101888/s1, Table S1: Sequences of adaptors and primers for MSAP analysis.

Author Contributions

H.W., L.W., M.Y., N.Z., J.L. and X.W. carried out the laboratory experiments, analyzed the data, and participated in drafting the manuscript. Y.W. (Yuqian Wang) and Y.W. (Yue Wang) undertook the measurement and statistics of agronomic traits. H.W., Y.R. and S.X. designed the study and finalized the manuscript. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the National Natural Science Foundation of China (grant number 31100172, 32071597, 41675153, 31670700), and Natural Science Foundation of Liaoning Province (grant number 2022-MS-174).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

The data presented in this study are available in the article or Supplementary Materials.

Acknowledgments

We greatly appreciate Bao Qi’s critical review of the manuscript.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Wagg, S.; Mills, G.; Hayes, F.; Wilkinson, S.; Cooper, D.; Davies, W.J. Reduced soil water availability did not protect two competing grassland species from the negative effects of increasing background ozone. Environ. Pollut. 2012, 165, 91–99. [Google Scholar] [CrossRef]
  2. Matyssek, R.; Kozovits, A.R.; Schnitzler, J.-P.; Pretzsch, H.; Dieler, J.; Wieser, G. Forest trees under air pollution as a factor of climate change. In Trees in a Changing Environment: Ecophysiology, Adaptation, and Future Survival; Tausz, M., Grulke, N., Eds.; Springer: Dordrecht, The Netherlands, 2014; pp. 117–163. [Google Scholar]
  3. Prather, M.; Gauss, M.; Berntsen, T.; Isaksen, I.; Sundet, J.; Bey, I.; Brasseur, G.; Dentener, F.; Derwent, R.; Stevenson, D.; et al. Fresh air in the 21st century? Geophys. Res. Lett. 2003, 30, 1100. [Google Scholar] [CrossRef]
  4. Lemke, P.; Ren, J.; Alley, R.B.; Allison, I.; Carrasco, J.; Flato, G.; Fujii, Y.; Kaser, G.; Mote, P.; Thomas, R.H. Observations: Changes in snow, ice and frozen ground. In Climate Change 2007: The Physical Science Basis. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change; Solomon, S., Qin, D., Manning, M., Chen, Z., Marquis, M., Averyt, K.B., Tignor, M., Miller, H.L., Eds.; Cambridge University Press: Cambridge, UK, 2007; pp. 337–383. [Google Scholar]
  5. Ashmore, M.R. Assessing the future global impacts of ozone on vegetation. Plant Cell Environ. 2005, 28, 949–964. [Google Scholar] [CrossRef]
  6. Aunan, K.; Berntsen, T.K.; Seip, H.M. Surface ozone in China and its possible impact on agricultural crop yields. Ambio 2000, 29, 294–301. [Google Scholar] [CrossRef]
  7. Nouchi, I.; Ito, O.; Harazono, Y.; Kobayashi, K. Effects of chronic ozone exposure on growth, root respiration and nutrient uptake of rice plants. Environ. Pollut. 1991, 74, 149–164. [Google Scholar] [CrossRef] [PubMed]
  8. Ting, I.P.; Mukerji, S.K. Leaf ontogeny as a factor in susceptibility to ozone: Amino acid and carbohydrate changes during expansion. Am. J. Bot. 1971, 58, 497–504. [Google Scholar] [CrossRef]
  9. McLaughlin, S.B.; McConathy, R.K.; Duvick, D.; Mann, L.K. Effects of chronic air pollution stress on photosynthesis, carbon allocation, and growth of white pine trees. For. Sci. 1982, 28, 60–70. [Google Scholar]
  10. Feng, Z.; Xu, Y.; Kobayashi, K.; Dai, L.; Zhang, T.; Agathokleous, E.; Calatayud, V.; Paoletti, E.; Mukherjee, A.; Agrawal, M.; et al. Ozone pollution threatens the production of major staple crops in East Asia. Nat. Food 2022, 3, 47–56. [Google Scholar] [CrossRef]
  11. Feng, Z.; Hu, T.; Tai, A.P.K.; Calatayud, V. Yield and economic losses in maize caused by ambient ozone in the North China Plain (2014–2017). Sci. Total Environ. 2020, 722, 137958. [Google Scholar] [CrossRef]
  12. Madlung, A.; Comai, L. The effect of stress on genome regulation and structure. Ann. Bot. 2004, 94, 481–495. [Google Scholar] [CrossRef]
  13. Mirouze, M.; Paszkowski, J. Epigenetic contribution to stress adaptation in plants. Curr. Opin. Plant Biol. 2011, 14, 267–274. [Google Scholar] [CrossRef]
  14. Zhang, H.; Lang, Z.; Zhu, J.K. Dynamics and function of DNA methylation in plants. Nat. Rev. Mol. Cell Biol. 2018, 19, 489–506. [Google Scholar] [CrossRef] [PubMed]
  15. Kumar, S.; Mohapatra, T. Dynamics of DNA methylation and its functions in plant growth and development. Front. Plant Sci. 2021, 12, 596236. [Google Scholar] [CrossRef] [PubMed]
  16. Finnegan, E.J.; Peacock, W.J.; Dennis, E.S. DNA methylation, a key regulator of plant development and other processes. Curr. Opin. Genet. Dev. 2000, 10, 217–223. [Google Scholar] [CrossRef]
  17. Vanyushin, B.F.; Kirnos, M.D. DNA methylation in plants. Gene 1988, 74, 117–121. [Google Scholar] [CrossRef]
  18. Lanciano, S.; Mirouze, M. DNA methylation in rice and relevance for breeding. Epigenomes 2017, 1, 10. [Google Scholar] [CrossRef]
  19. Busslinger, M.; Hurst, J.; Flavell, R.A. DNA methylation and the regulation of globin gene expression. Cell 1983, 34, 197–206. [Google Scholar] [CrossRef] [PubMed]
  20. Marconi, G.; Pace, R.; Traini, A.; Raggi, L.; Lutts, S.; Chiusano, M.; Guiducci, M.; Falcinelli, M.; Benincasa, P.; Albertini, E. Use of MSAP markers to analyse the effects of salt stress on DNA methylation in rapeseed (Brassica napus var. oleifera). PLoS ONE 2013, 8, e75597. [Google Scholar] [CrossRef]
  21. Dowen, R.H.; Pelizzola, M.; Schmitz, R.J.; Lister, R.; Dowen, J.M.; Nery, J.R.; Dixon, J.E.; Ecker, J.R. Widespread dynamic DNA methylation in response to biotic stress. Proc. Natl. Acad. Sci. USA 2012, 109, E2183–E2191. [Google Scholar] [CrossRef] [PubMed]
  22. Li, Z.; Hu, Y.; Chang, M.; Kashif, M.H.; Tang, M.; Luo, D.; Cao, S.; Lu, H.; Zhang, W.; Huang, Z.; et al. 5-azacytidine pre-treatment alters DNA methylation levels and induces genes responsive to salt stress in kenaf (Hibiscus cannabinus L.). Chemosphere 2021, 271, 129562. [Google Scholar] [CrossRef] [PubMed]
  23. Yadav, D.S.; Rai, R.; Mishra, A.K.; Chaudhary, N.; Mukherjee, A.; Agrawal, S.B.; Agrawal, M. ROS production and its detoxification in early and late sown cultivars of wheat under future O3 concentration. Sci. Total Environ. 2019, 659, 200–210. [Google Scholar] [CrossRef]
  24. Huang, H.; Ullah, F.; Zhou, D.X.; Yi, M.; Zhao, Y. Mechanisms of ROS regulation of plant development and stress responses. Front. Plant Sci. 2019, 10, 800. [Google Scholar] [CrossRef] [PubMed]
  25. Bazopoulou, D.; Knoefler, D.; Zheng, Y.; Ulrich, K.; Oleson, B.J.; Xie, L.; Kim, M.; Kaufmann, A.; Lee, Y.T.; Dou, Y.; et al. Developmental ROS individualizes organismal stress resistance and lifespan. Nature 2019, 576, 301–305. [Google Scholar] [CrossRef] [PubMed]
  26. Wang, Y.; Xu, S.; Li, B.; Chen, W.; Li, Y.; He, X.; Wang, N. Responses of spring leaf phenological and functional traits of two urban tree species to air warming and/or elevated ozone. Plant Physiol. Biochem. 2022, 179, 158–167. [Google Scholar] [CrossRef] [PubMed]
  27. Kidwell, K.K.; Osborn, T.C. Simple plant DNA isolation procedures. In Plant Genomes: Methods for Genetic and Physical Mapping; Beckmann, J.S., Osborn, T.C., Eds.; Springer: Dordrecht, The Netherlands, 1992; pp. 1–13. [Google Scholar]
  28. Tan, M.P. Analysis of DNA methylation of maize in response to osmotic and salt stress based on methylation-sensitive amplified polymorphism. Plant Physiol. Biochem. 2010, 48, 21–26. [Google Scholar] [CrossRef]
  29. Sallam, N.; Moussa, M. DNA methylation changes stimulated by drought stress in ABA-deficient maize mutant vp10. Plant Physiol. Biochem. 2021, 160, 218–224. [Google Scholar] [CrossRef] [PubMed]
  30. Song, Y.; Jia, Z.; Hou, Y.; Ma, X.; Li, L.; Jin, X.; An, L. Roles of DNA methylation in cold priming in tartary Buckwheat. Front. Plant Sci. 2020, 11, 608540. [Google Scholar] [CrossRef]
  31. Zhang, Q.; Liang, Z.; Cui, X.; Ji, C.; Li, Y.; Zhang, P.; Liu, J.; Riaz, A.; Yao, P.; Liu, M.; et al. N 6-methyladenine DNA methylation in Japonica and Indica rice genomes and its association with gene expression, plant development, and stress responses. Mol. Plant 2018, 11, 1492–1508. [Google Scholar] [CrossRef]
  32. Finnegan, E.J. Epialleles—A source of random variation in times of stress. Curr. Opin. Plant Biol. 2002, 5, 101–106. [Google Scholar] [CrossRef] [PubMed]
  33. Widyasari, K.; Tran, P.T.; Shin, J.; Son, H.; Kim, K.H. Overexpression of purple acid phosphatase GmPAP2.1 confers resistance to Soybean mosaic virus in a susceptible soybean cultivar. J. Exp. Bot. 2022, 73, 1623–1642. [Google Scholar] [CrossRef] [PubMed]
  34. Ghosh, S.; Kamble, N.U.; Verma, P.; Salvi, P.; Petla, B.P.; Roy, S.; Rao, V.; Hazra, A.; Varshney, V.; Kaur, H.; et al. Arabidopsis protein l-ISOASPARTYL METHYLTRANSFERASE repairs isoaspartyl damage to antioxidant enzymes and increases heat and oxidative stress tolerance. J. Biol. Chem. 2020, 295, 783–799. [Google Scholar] [CrossRef] [PubMed]
  35. Liu, D.; Hu, R.; Zhang, J.; Guo, H.B.; Cheng, H.; Li, L.; Borland, A.M.; Qin, H.; Chen, J.G.; Muchero, W.; et al. Overexpression of an agave phosphoenolpyruvate carboxylase improves plant growth and stress tolerance. Cells 2021, 10, 582. [Google Scholar] [CrossRef] [PubMed]
  36. Rout, A.K.; Singh, H.; Patel, S.; Raghvan, V.; Gautam, S.; Minda, R.; Rao, B.J.; Chary, K.V.R. Structural characterization of a novel KH-domain containing plant chloroplast endonuclease. Sci. Rep. 2018, 8, 13750. [Google Scholar] [CrossRef] [PubMed]
Figure 1. Damage to Oryza sativa leaves by different concentrations of O3 stress treatments (80 nmol-mol−1, 160 nmol-mol−1, and 200 nmol-mol−1).
Figure 1. Damage to Oryza sativa leaves by different concentrations of O3 stress treatments (80 nmol-mol−1, 160 nmol-mol−1, and 200 nmol-mol−1).
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Figure 2. Analysis of agronomic traits of Oryza sativa after 30 days of O3 stress ((A): panicle length; (B): hundred-grain weight; (C): flag leaf length; (D): flag leaf width). * and ** denote p < 0.05 and p < 0.01, respectively.
Figure 2. Analysis of agronomic traits of Oryza sativa after 30 days of O3 stress ((A): panicle length; (B): hundred-grain weight; (C): flag leaf length; (D): flag leaf width). * and ** denote p < 0.05 and p < 0.01, respectively.
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Figure 3. Difference of methylation patterns between samples treated with O3 stress at different concentrations (80 nmol-mol−1, 160 nmol-mol−1, 200 nmol-mol−1) (5 d, 10 d, 15 d, 20 d, 30 d) and non-treated samples (CK). Primer combinations: EcoRI + ACG/HpaII(MspI) + TGT (a), EcoRI + ACA/HpaII(MspI) + TTG (b), EcoRI + ATC/HpaII(MspI) + TGT (c).
Figure 3. Difference of methylation patterns between samples treated with O3 stress at different concentrations (80 nmol-mol−1, 160 nmol-mol−1, 200 nmol-mol−1) (5 d, 10 d, 15 d, 20 d, 30 d) and non-treated samples (CK). Primer combinations: EcoRI + ACG/HpaII(MspI) + TGT (a), EcoRI + ACA/HpaII(MspI) + TTG (b), EcoRI + ATC/HpaII(MspI) + TGT (c).
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Figure 4. Hypomethylation (A) and hypermethylation (B) alteration in rice after O3 stress treatments.
Figure 4. Hypomethylation (A) and hypermethylation (B) alteration in rice after O3 stress treatments.
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Table 1. Cytosine methylation levels at different treatments under O3 stress by MSAP-based method.
Table 1. Cytosine methylation levels at different treatments under O3 stress by MSAP-based method.
TypeO3 Stress Time-Point
5–CK5–805–1605–20010–8010–16010–20015–8015–16015–20020–8020–16020–20030–8030–16030–20030–CK
I12811286128512861286128612861290128912881287128812881290129212921281
II5855576059595856565655585453666158
III134126125125128127127124124126129131128126123126134
IV4248484442434445464544384546343642
Total sites15151515151515151515151515151515151515151515151515151515151515151515
Total amplified bands14731467146714711473147214711470146914701471147714701469148114791473
Total methylated bands234229230229229229229225226227228227227225223223234
MSAP (%) a15.4515.1215.1815.1215.1215.1215.1214.8514.9214.9815.0514.9814.9814.8514.7214.7215.45
Fully methylated bands176174173169170170171169170171173169173172157162176
Fully methylated ratio (%) b11.6211.4911.4211.1611.2211.2211.2911.1611.2211.2911.4211.1611.4211.3510.3610.6911.62
Hemi-methylated ratio (% ) c3.833.633.764.003.903.903.833.703.703.703.633.833.563.504.364.033.83
Non-methylated ratio (%) d84.5584.6284.6984.7584.8284.8884.9585.0285.0885.1585.2185.2885.3585.4185.4885.5484.55
a MSAP (%) = [(II + III + IV)/(I + II + III + IV)] × 100. b Fully methylated ratio (%) = [(III + IV)/(I + II + III + IV)] × 100. c Hemi-methylated ratio (%) = [(II)/(I + II + III + IV)] × 100. d Non-methylated ratio (%) = [(I)/(I + II + III + IV)] × 100.
Table 2. Chromosome location and homology analysis of variant sequences.
Table 2. Chromosome location and homology analysis of variant sequences.
FragmentChromosomeMethylation StatusAccessionDescriptionE-ValueSize
(bp)
under Stress
MS14Chr.01DemethylatedLOC_Os01g11054Phosphoenolpyruvate carboxylase3.6 × 10−2186
MS93Chr.03DemethylatedLOC_Os03g48030Integral membrane HPP family protein1.7 × 10−36180
MS96Chr.04DemethylatedLOC_Os04g40540L-isoaspartate methyltransferase9.3 × 10−11101
MS99Chr.11DemethylatedXP_015616523Purple acid phosphatase2 × 10−23177
MS104Chr.11MethylatedAZM68782Hypothetical protein1.5 × 10−90291
MS107Chr.04MethylatedABF98152Transposon protein, putative, Mutator sub-class9 × 10−20164
MS111Chr.11DemethylatedOs11g0679400Zinc finger family protein4 × 10−2081
MS114Chr.06DemethylatedLOC_Os06g43650KH domain-containing protein9.2 × 10−759
MS120Chr.06DemethylatedLOC_Os06g43650KH domain-containing protein1.1 × 10−30133
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MDPI and ACS Style

Wang, H.; Wang, L.; Yang, M.; Zhang, N.; Li, J.; Wang, Y.; Wang, Y.; Wang, X.; Ruan, Y.; Xu, S. Growth and DNA Methylation Alteration in Rice (Oryza sativa L.) in Response to Ozone Stress. Genes 2023, 14, 1888. https://doi.org/10.3390/genes14101888

AMA Style

Wang H, Wang L, Yang M, Zhang N, Li J, Wang Y, Wang Y, Wang X, Ruan Y, Xu S. Growth and DNA Methylation Alteration in Rice (Oryza sativa L.) in Response to Ozone Stress. Genes. 2023; 14(10):1888. https://doi.org/10.3390/genes14101888

Chicago/Turabian Style

Wang, Hongyan, Long Wang, Mengke Yang, Ning Zhang, Jiazhen Li, Yuqian Wang, Yue Wang, Xuewen Wang, Yanan Ruan, and Sheng Xu. 2023. "Growth and DNA Methylation Alteration in Rice (Oryza sativa L.) in Response to Ozone Stress" Genes 14, no. 10: 1888. https://doi.org/10.3390/genes14101888

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