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Communication

OsmiR535, a Potential Genetic Editing Target for Drought and Salinity Stress Tolerance in Oryza sativa

1
Institute of Crop Science, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou 310058, China
2
Southern Regional Collaborative Innovation Center for Grain and Oil Crops in China, College of Agriculture, Hunan Agricultural University, Changsha 410128, China
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Submission received: 19 August 2020 / Revised: 5 October 2020 / Accepted: 5 October 2020 / Published: 10 October 2020
(This article belongs to the Special Issue Abiotic Stress Tolerance in Crop and Medical Plants)

Abstract

:
OsmiR535 belongs to the miR156/miR529/miR535 superfamily, a highly conserved miRNA family in plants. OsmiR535 is involved in regulating the cold-stress response, modulating plant development, and determining panicle architecture and grain length. However, the role that OsmiR535 plays in plant responses to drought and salinity are elusive. In the current study, molecular and genetic engineering techniques were used to elucidate the possible role of OsmiR535 in response to NaCl, PEG(Poly ethylene glycol), ABA(Abscisic acid), and dehydration stresses. Our results showed that OsmiR535 is induced under stressed conditions as compared to control. With transgenic and CRISPR/Cas9 knockout system techniques, our results verified that either inhibition or knockout of OsmiR535 in rice could enhance the tolerance of plants to NaCl, ABA, dehydration and PEG stresses. In addition, the overexpression of OsmiR535 significantly reduced the survival rate of rice seedlings during PEG and dehydration post-stress recovery. Our results demonstrated that OsmiR535 negatively regulates the stress response in rice. Moreover, our practical application of CRISPR/Cas9 mediated genome editing created a homozygous 5 bp deletion in the coding sequence of OsmiR535, demonstrating that OsmiR535 could be a useful genetic editing target for drought and salinity tolerance and a new marker for molecular breeding of Oryza sativa.

1. Introduction

MicroRNAs (miRNAs) are a class of 18–24 nt non-coding RNAs that combine with AGO(ARGONAUTE) proteins to form the miRNA-induced silencing complex (miRISC), which can recognize and inhibit the expression of target genes at the post-transcription level [1,2]. There is growing evidence that miRNAs can influence various biological processes, such as plant growth and development, the stress response, and metabolic processes [3,4,5]. miR156, miR529, and miR535 share high sequence similarity, belong to the miR156/miR529/miR535 superfamily, and play an essential role in modulating plant growth and development and SPLs(SQUAMOSA promoter-binding protein-like) expression [6,7,8]. Unlike OsmiR156s and OsmiR529s, of which are twelve and two copies in rice, respectively, there is only one OsmiR535 in the rice genome [7].
The OsmiR535 role in abiotic stresses was firstly reported in a microarray study, which demonstrated that OsmiR535 could be induced by cold-stresses [9]. Recent studies revealed the OsmiR535 negatively regulates cold tolerance in rice, as the overexpression of OsmiR535 aggravated cold-induced cell death and ROS(Reactive oxygen species) accumulation [10]. OsmiR535 modulates plant height, panicle architecture, and grain length by suppressing the expression of OsSPL7/12/16 [6]. However, the involvement of OsmiR535 in response to drought (dehydration and PEG-induced), ABA, and salinity stress in rice is elusive.
The objective of our study was to investigate OsmiR535 function in drought and salinity responses in rice by using different genetic engineering techniques. In the present study, we validated the expression pattern of OsmiR535 and its putative target genes by real-time qPCR. We also used CRISPR/Cas9, STTM(Short tandem target mimic), and UBI(Ubiquitin) promoter-driven overexpression techniques to genetically manipulate OsmiR535 and generate transgenic lines. Then, we tested transgenic seedlings of rice under extreme NaCl, PEG, ABA, and dehydration stresses. By combining these approaches, this study intends to explore the following technical and biological questions: (1) is OsmiR535 involved in the drought and salinity response in rice? (2) What role does OsmiR535 play in drought and salinity tolerance? (3) Which techniques would be the most effective way to utilize OsmiR535 to improve drought and salinity tolerance in rice? Our results could provide novel technical and biological insights into the practical application of CRISPR/Cas9-mediated genome editing on drought and salinity tolerance in rice.

2. Results

2.1. Expression of OsmiR535 in Response to Various Drought and Salinity Treatments

To validate the involvement of OsmiR535 in drought and salinity responses, we examined the expression of OsmiR535 and its predicted target genes SPL2/7/11/14/16/18/19 under various stress treatments. As shown in Figure 1, the real-time qPCR assay showed that the expression of OsmiR535 could be induced by dehydration, 200 mM NaCl, 10 μM ABA, and 20% PEG treatments. On the other hand, as the coding sequence of OsSPL2/7/11/14/16/18/19 have the OsmiR535 targeting site, their expression level should be inhibited by an elevated OsmiR535 expression level [10]. However, the expression of OsSPL2 and OsSPL18 were upregulated to be 10-fold higher under drought, 200 mM NaCl, and 20% PEG treatments. OsSPL7/11/14/16 have not displayed a downregulated pattern with elevated OsmiR535 expression under various drought-related condition. Among the seven target genes of OsmiR535, only OsSPL19 was consistently downregulated under all drought and salinity conditions(Figure 1). Collectively, these results demonstrated that OsmiR535 is involved in the drought and salinity response in rice, and that OsSPL19 maybe the main functional OsmiR535 target gene for the drought and salinity stresses response.

2.2. Inhibition and Knockout of OsmiR535 Increased ABA and Salt Tolerance in Rice Seedlings

To further investigate the role that OsmiR535 plays in drought and salinity response and tolerance, we generated the CRISPR/Cas9-mediated knockout mutant osmir535, overexpression line OEMIR535, and STTM535 transgenic lines (Figure 2A,B). A total of 13 independent transgenic overexpression lines were generated to carry the pCAMBIA1390-Ubi::OsMIR535::NOS construct, and T4 and T11 lines were detected as 15- and 20-fold higher than in wild-type (WT) plants, respectively (data not shown). Thus, we chose the T11 line as OEMIR535 for further investigation. In knockout mutant osmir535, a homozygous 5 bp deletion was generated using the pYLCRISPR/Cas9Pubi-N system (Figure 2B) [11]. As shown in Figure 2C, the 5 bp deletion in the OsmiR535 coding sequence disrupted the second structure of OsmiR535 and its function (Figure 2B,C) [12].
To check OsmiR535 function in ABA- and NaCl-induced stress tolerance at the seedling stage, we applied the external treatment to WT, osmir535, OEMIR535, and STTM535. Among these ABA-treated plants, the lateral root number of the osmir535 mutant and STTM535 transgenic plants was 73% and 80% more than WT plants, respectively (Figure 3A,B). Also, the shoot length of the ABA-treated osmir535 mutant and the STTM535 transgenic plants was 30% and 47% higher than WT plants. However, both the lateral root number and shoot length of OsmiR535 overexpression lines were not significantly different compared to WT (Figure 3C). The primary root length of all lines were also not significantly different between the treated different genotypes (Figure 3D), which means that OsmiR535 functions in modulating the lateral root and shoot growth, but not primary root growth, under the ABA signaling pathway.
On the other hand, the inhibition and knockout of OsmiR535 also significantly increased the tolerance to 200 mM NaCl treatment by having a positive effect on lateral root number, primary root length, and shoot length in rice (Figure 3E–G). Among the four treated lines, the shoot length of the osmir535 mutant and STTM535 transgenic plants was 86.8% and 66.72% higher than WT plants, respectively, while the primary root length was 35.8% and 31.3% higher than WT plants, respectively (Figure 3F,G). On the contrary, the overexpression line OEMIR535 was not significantly different for both parameters (Figure 3F,G). For lateral root numbers, OEMIR535, STTM535, and osmir535 mutants were significantly higher than WT, but the lateral root numbers of STTM535 and osmir535 mutants were 366% and 514% higher than OEMIR535 plants, indicating that the inhibition and knockout of OsmiR535 enhanced salinity tolerance based on lateral root development. These results demonstrated that either the mutation or inhibition of OsmiR535 could enhance tolerance of rice seedlings to ABA and salt stresses.

2.3. OsmiR535 Overexpression in Plants Causes Sensitivity to PEG-induced Drought Stresses

To test the PEG-induced drought response of WT, OEMIR535, osmir535, and STTM535 plants, two-week-old seedlings were transferred into Yoshida solution with a final concentration of 20% (w/v) PEG4000 for 10 days to induce PEG stress, and growth for another 10 days in normal Yoshida solution for recovery.
As shown in Figure 4A, the leaves of all four treated lines were rolled and yellowish after 10 days of PEG treatment. OEMIR535, the OsmiR535 overexpression line, displayed the most severe and accelerated senescence phenotype after 10 days of PEG treatment, while the leaves of osmir535 and STTM535 plants remained green and alive. Therefore, after 10 days of recovery, it was clear that more leaves of osmir535 and STTM535 plants survived under PEG-induced drought stress as compared to WT plants (Figure 4A). On the other hand, after 10 days of recovery, more seedlings of osmir535 and STTM535 plants than WT survived after exposure to PEG stresses for 10 days (Figure 4C). Compared to the 62.2% survial of WT plants, 93.0% and 84.3% survial rates were noted for osmir535 and STTM535 plants, respectively (Figure 4C). However, only 28.9% of OEMIR535 plants survived under PEG-induced drought stress (Figure 4C). These results indicated that the overexpression of OsmiR535 makes plants more sensitive to PEG-induced drought stress, and the inhibition or mutation of OsmiR535 could make rice seedlings more tolerant to PEG-induced drought stress.

2.4. CRISPR/Cas9 Mediated Knockout of OsmiR535 Increased the Survival Rate of Rice Seedlings after Dehydration Stress

To further examine the function of OsmiR535 in drought tolerance, we performed a dehydration–recovery assay on WT, OEMIR535, osmir535, and STTM535 plants. Two-week-old seedlings grow in Yoshida solution were air-dried for two days (dehydration), then transferred into Yoshida solution for eight days (recovery). As shown in Figure 4B, all four treated lines were rolled and yellowish after two days of dehydration. After eight days of recovery, all osmir535 and STTM535 seedlings survived, while the survival rate of WT and OEMIR535 seedlings was 75.8% and 33.3%, respectively (Figure 4D). Nitroblue tetrazolium (NBT) and 3,3-diaminobenzidine (DAB) staining results for all four lines after two days of dehydration demonstrated that unlike both osmir535 and STTM535 which produce much less H2O2 and O2 with respect to WT, OSMIR535 overexpression lines accumulated much more H2O2 and O2, resulting in more susceptibility towards dehydration(Figure 4E). These results are consistent with our results for PEG-induced drought. It is clear that the overexpression of OsmiR535 makes plants more sensitive to drought stress while its inhibition or mutation makes them more tolerant.

3. Discussion

Drought causes multiple negative impacts on plants, such as reactive oxygen species (ROS) accumulation, abscisic acid (ABA) induction, stomatal closure, and retarded growth. Thus, identifying drought-resistance genes could be beneficial for understanding the genetic mechanism of drought tolerance. OsmiR535 is a single-copy microRNA gene belonging to the miR156/529/535 superfamily in rice [6,10]. These microRNAs modulate plant development and stress responses mainly through interactions with target genes, leading to either translational inhibition or gene silencing. The miR156/529/535 genes are well-reported in the complex regulation of SPLs and plant development and architecture [13]. As the sequence shared by miR156/529/535 is highly conserved, seven SPLs were predicted as common target genes of OsmiR535, OsmiR539, and OsmiR156 [13,14]. Although miR156/miR529/535 were predicted to share a common set of target SPLs, the expression pattern of miR156/miR529/535 and how they respond to drought stresses are quietly divergent [15]. The expression of OsmiR156 did not show any significant changes in drought treated tissues [15], and the expression of OsmiR529 was reported to be downregulated under drought stresses in shoot tissues [16].
In this study, we reported the involvement of OsmiR535 in drought and salinity response and tolerance. Our qPCR results demonstrated that the expression of OsmiR535 could be induced by drought and salinity conditions, such as external NaCl, PEG, dehydration, and ABA treatment. This indicated that OsmiR535 is involed in the drought and salinity response in rice. On the other hand, as there were seven common predicted target genes of OsmiR156/529/535, we tested which SPLs may be the key target gene involved in the drought and salinity response. Our results suggest that OsSPL19 maybe the main functional OsmiR535 target gene responsible for drought and salinity stress response and tolerance.
To investigate the role of OsmiR535 in drought and salinity tolerance, we generated a series of transgenic and mutant lines with CRISPR/Cas9, STTM (Short tandem target mimic), and UBI (Ubiquitin) promoter-driven overexpression techniques. We tested the growth parameters of these transgenic and mutant lines under external 200 mM NaCl and 10 μM ABA treatment, and our results demonstrated that either the inhibition or knock-out of OsmiR535 could significantly enhance the tolerance of rice seedlings to ABA and salinity stresses. Furthermore, we also tested the survival ability of these plants under extreme PEG-induced and dehydration-induced drought stresses. These reulsts showed that both STTM inhibition and CRISPR-Cas9 mediated knockout of OsmiR535 significantly increased the survival rate of seedlings under extreme PEG and dehydration treatments, while the overexpression of OsmiR535 made plants more vulnerable to such stresses compared to WT.

4. Materials and Methods

4.1. Plant Growth Conditions

Rice (Oryza sativa L. ssp. japonica ‘Nipponbare’) was used for physiological experiments and genetic transformation in this study. Rice seeds were surface-sterilized with 10% sodium hypochlorite solution for 20 min, followed by three rinses with sterile distilled water. Seeds were germinated on wet filter paper for 2 days at 28 °C. Uniform seedlings were selected and transferred to black plastic buckets containing Yoshida solution or agar plates for further treatment. The plants were grown at 28 °C with 16/8 h light/dark cycles, 80% illumination, and 75% relative humidity in a greenhouse. To test plant growth under drought and salinity stresses, we chose 200 mM NaCl, 10 μm ABA, 20% PEG and 2 days air-dry dehydration for the external treatments [17,18,19]. For the 10 μM ABA and 200 mM NaCl treatments, rice seedlings were grown in 1/2 MS (Murashige & Skoog Medium) agar plates for 1 week after germination, then transferred into 1/2 MS agar plates containing 10 μM ABA and 200 mM NaCl, respectively. For PEG tolerance tests, rice seedlings were grown in black plastic buckets containing Yoshida solution for 2 weeks after germination, then transferred into Yoshida solution containing 20% PEG for 10 days, then transferred back into normal Yoshida solution for 10 days. For dehydration tests, rice seedlings were grown in black plastic buckets containing Yoshida solution for 2 weeks after germination, then transferred into an empty bucket for dehydration for 2 days in a greenhouse, then transferred into normal Yoshida solution for 8 days [20]. Survival rates were calculated as survival rate = (survived number of plants after post-stress recovery) / (total treated plants) * 100%. Each treatment was conducted with three parallel replicates.

4.2. Vector Construction and Rice Transformation

Full-length pre-miR535 cDNA was cloned into pCAMBIA1390-UBI::NOS (nopaline synthase terminator) to generate the pCAMBIA1390-UBI:OSMIR535:NOS overexpression construct (Figure 2A). The short tandem target mimic (STTM) constructs were designed, and primers were synthesized according to a previous study; the amplified STTM region was then cloned into pCAMBIA1390-UBI::NOS to generate the pCAMBIA1390-UBI:sttm-MIR535:NOS construct [21]. A CRISPR/Cas9 mediated knockout system was designed and constructed according to the pYLCRISPR/Cas9Pubi-H system manual [11]. All sequenced plasmids were introduced into the rice genome via Agrobacterium tumefaciens EHA105-mediated transformation, as previously described [20]. All primers used in this study are listed in Table 1.

4.3. RNA Extraction, cDNA Synthesis, and Quantitative Real-Time RT-PCR (qRT-PCR)

Total RNAs were extracted from the fresh roots of WT plants under normal and stress conditions using RNAiso reagent (Takara). Reverse transcription (RT) was performed using PrimeScript™ Reverse Transcriptase (Takara) according to the manufacturer’s instructions. Quantitative real-time RT-PCR analysis was conducted with the Lightcycler 480 machine using AceQ qPCR SYBR Green Master Mix (Vazyme). UBIQUITIN (Os03g0234200) mRNA was used as an internal control. The specific primers for quantitative real-time RT-PCR are listed in Table 1.

4.4. Histochemical Analysis of H2O2 and O2- by 3,3-diaminobenzidine (DAB) and Nitroblue Tetrazolium (NBT) Staining

The accumulation of H2O2 was determined by staining the leaves of 2-day dehydrated transgenic and WT plants with vacuum infiltration of 3,3-diaminobenzidine (DAB) solution; detailed methods have been described previously [22]. The accumulation of O2 was identified by staining the leaves of 2-day dehydrated transgenic and WT plants with vacuum infiltration of nitroblue tetrazolium (NBT) solution, according to the method described previously [23].

5. Conclusions

Our results clearly demonstrate that OsmiR535 responds to external drought and salinity signals, and plays a negative role in drought and salinity tolerance in rice. Morever, as the osmir535 mutant provides a successful example of generating a drought-tolerant mutant via CRISPR/Cas9 mediated knockout techniques, we propose that OsmiR535 is a potential genetic editing target for drought and salinity stress tolerance for breeding in Oryza sativa.

Author Contributions

Conceptualization, B.L., and E.Y.; methodology, E.Y.; validation, E.Y. and H.C.; writing—original draft preparation, E.Y. and H.C.; writing—review and editing, B.L.; visualization, H.C. and B.L.; supervision, B.L.; funding acquisition, E.Y. and B.L. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the Youth Program of National Natural Science Foundation of China (grant no. 31901515) and the China Postdoctoral Science Foundation (grant no. 2018M632476).

Acknowledgments

We thank Wakeel Abdul Umar from Henan University for the critical reading of this manuscript.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Jones-Rhoades, M.W.; Bartel, D.P.; Bartel, B. MicroRNAS and their regulatory roles in plants. Annu. Rev. Plant Biol. 2006, 57, 19–53. [Google Scholar] [CrossRef] [PubMed]
  2. Song, X.; Li, Y.; Cao, X.; Qi, Y. MicroRNAs and Their Regulatory Roles in Plant–Environment Interactions. Annu. Rev. Plant Biol. 2019, 70, 489–525. [Google Scholar] [CrossRef] [PubMed]
  3. Samad, A.F.A.; Sajad, M.; Nazaruddin, N.; Fauzi, I.A.; Murad, A.M.A.; Zainal, Z.; Ismail, I. MicroRNA and Transcription Factor: Key Players in Plant Regulatory Network. Front. Plant Sci. 2017, 8, 565. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  4. Li, T.; Gonzalez, N.; Inzé, D.; Dubois, M. Emerging Connections between Small RNAs and Phytohormones. Trends Plant Sci. 2020, 25, 912–929. [Google Scholar] [CrossRef] [PubMed]
  5. Keller, M.; Schleiff, E.; Simm, S. miRNAs involved in transcriptome remodeling during pollen development and heat stress response in Solanum lycopersicum. Sci. Rep. 2020, 10, 1–13. [Google Scholar] [CrossRef]
  6. Sun, M.; Shen, Y.; Li, H.; Yang, J.; Cai, X.; Zheng, G.; Zhu, Y.; Jia, B.; Sun, X. The multiple roles of OsmiR535 in modulating plant height, panicle branching and grain shape. Plant Sci. 2019, 283, 60–69. [Google Scholar] [CrossRef]
  7. Morea, E.G.O.; Da Silva, E.M.; e Silva, G.F.F.; Valente, G.T.; Rojas, C.H.B.; Vincentz, M.; Nogueira, F.T.S. Functional and evolutionary analyses of the miR156 and miR529 families in land plants. BMC Plant Biol. 2016, 16, 40. [Google Scholar] [CrossRef] [Green Version]
  8. Yue, E.; Li, C.; Li, Y.; Liu, Z.; Xu, J.-H. MiR529a modulates panicle architecture through regulating SQUAMOSA PROMOTER BINDING-LIKE genes in rice (Oryza sativa). Plant Mol. Biol. 2017, 94, 469–480. [Google Scholar] [CrossRef]
  9. Lv, D.-K.; Bai, X.; Li, Y.; Ding, X.; Ge, Y.; Cai, H.; Ji, W.; Wu, N.; Zhu, Y. Profiling of cold-stress-responsive miRNAs in rice by microarrays. Gene 2010, 459, 39–47. [Google Scholar] [CrossRef]
  10. Sun, M.; Shen, Y.; Yang, J.; Cai, X.; Li, H.; Zhu, Y.; Jia, B.; Sun, X. miR535 negatively regulates cold tolerance in rice. Mol. Breed. 2020, 40, 14. [Google Scholar] [CrossRef]
  11. Ma, X.; Zhang, Q.; Zhu, Q.; Liu, W.; Chen, Y.; Qiu, R.; Wang, B.; Yang, Z.; Li, H.; Lin, Y.; et al. A Robust CRISPR/Cas9 System for Convenient, High-Efficiency Multiplex Genome Editing in Monocot and Dicot Plants. Mol. Plant 2015, 8, 1274–1284. [Google Scholar] [CrossRef] [PubMed]
  12. Zuker, M. Mfold web server for nucleic acid folding and hybridization prediction. Nucleic Acids Res. 2003, 31, 3406–3415. [Google Scholar] [CrossRef] [PubMed]
  13. Jeong, D.-H.; Park, S.; Zhai, J.; Gurazada, S.G.R.; De Paoli, E.; Meyers, B.C.; Green, P.J. Massive Analysis of Rice Small RNAs: Mechanistic Implications of Regulated MicroRNAs and Variants for Differential Target RNA Cleavage. Plant Cell 2011, 23, 4185–4207. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  14. Ling, L.-Z.; Zhang, S.-D. Exploring the evolutionary differences of SBP-box genes targeted by miR156 and miR529 in plants. Genetica 2012, 140, 317–324. [Google Scholar] [CrossRef]
  15. Fard, E.M.; Bakhshi, B.; Farsi, M.; Kakhki, A.M.; Nikpay, N.; Ebrahimi, M.A.; Mardi, M.; Salekdeh, G.H. MicroRNAs regulate the main events in rice drought stress response by manipulating the water supply to shoots. Mol. BioSyst. 2017, 13, 2289–2302. [Google Scholar] [CrossRef]
  16. Zhou, L.; Liu, Y.; Liu, Z.; Kong, D.; Duan, M.; Luo, L.J. Genome-wide identification and analysis of drought-responsive microRNAs in Oryza sativa. J. Exp. Bot. 2010, 61, 4157–4168. [Google Scholar] [CrossRef]
  17. Wu, J.; Yu, C.; Hunag, L.; Wu, M.; Liu, B.; Liu, Y.; Song, G.; Liu, D.; Gan, Y. Overexpression of MADS-box transcription factor OsMADS25 enhances salt stress tolerance in Rice and Arabidopsis. Plant Growth Regul. 2019, 90, 163–171. [Google Scholar] [CrossRef]
  18. Xiong, J.H.; Fu, B.Y.; Xu, H.X.; Li, Y.S. Proteomic analysis of PEG-simulated drought stress-responsive proteins of rice leaves using a pyramiding rice line at the seedling stage. Bot. Stud. 2010, 51, 137–145. [Google Scholar]
  19. Yamaguchi-Shinozaki, K.; Shinozaki, K. A novel cis-acting element in an Arabidopsis gene is involved in responsiveness to drought, low-temperature, or high-salt stress. Plant Cell 1994, 6, 251–264. [Google Scholar] [CrossRef] [Green Version]
  20. Wang, W.; Liu, B.; Xu, M.; Jamil, M.; Wang, G. ABA-induced CCCH tandem zinc finger protein OsC3H47 decreases ABA sensitivity and promotes drought tolerance in Oryza sativa. Biochem. Biophys. Res. Commun. 2015, 464, 33–37. [Google Scholar] [CrossRef]
  21. Tang, G.; Yan, J.; Gu, Y.; Qiao, M.; Fan, R.; Mao, Y.; Tang, X. Construction of short tandem target mimic (STTM) to block the functions of plant and animal microRNAs. Methods 2012, 58, 118–125. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  22. Khan, A.R.; Wakeel, A.; Muhammad, N.; Liu, B.; Wu, M.; Liu, Y.; Ali, I.; Zaidi, S.-H.-R.; Azhar, W.; Song, G.; et al. Involvement of ethylene signaling in zinc oxide nanoparticle-mediated biochemical changes inArabidopsis thalianaleaves. Environ. Sci. Nano 2019, 6, 341–355. [Google Scholar] [CrossRef]
  23. Ali, I.; Jan, M.; Wakeel, A.; Azizullah, A.; Liu, B.; Islam, F.; Ali, A.; Daud, M.K.; Liu, Y.; Gan, Y. Biochemical responses and ultrastructural changes in ethylene insensitive mutants of Arabidopsis thialiana subjected to bisphenol A exposure. Ecotoxicol. Environ. Saf. 2017, 144, 62–71. [Google Scholar] [CrossRef] [PubMed]
Figure 1. Expression of OsmiR535 and OsSPL2/7/11/14/16/18/19 in seedlings under hormone and stress treatments, including dehydration, 200 mM NaCl, 10 μM ABA and 20% PEG. Six seedlings were tested in each treatment, each treatment had 3 replicates, error bars represent the standard deviation (SD). Rice UBIQUITIN (Os03g0234200) was used as a reference gene.
Figure 1. Expression of OsmiR535 and OsSPL2/7/11/14/16/18/19 in seedlings under hormone and stress treatments, including dehydration, 200 mM NaCl, 10 μM ABA and 20% PEG. Six seedlings were tested in each treatment, each treatment had 3 replicates, error bars represent the standard deviation (SD). Rice UBIQUITIN (Os03g0234200) was used as a reference gene.
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Figure 2. Schematic representation of OsmiR535-related constructs and the CRISPR/Cas9 genome editing effect. (A) Schematic representation of overexpression constructs pCAMBIA1390-Ubi::OsMIR535::NOS, and the STTM535 construct pCAMBIA1390-Ubi:: sttm-MIR535:: NOS. (B) Sequencing diagram of the wild-type (WT) and osmir535 mutant on the OsmiR535 genomic region. (C) Predicted OsmiR535 secondary structure of WT and osmir535.
Figure 2. Schematic representation of OsmiR535-related constructs and the CRISPR/Cas9 genome editing effect. (A) Schematic representation of overexpression constructs pCAMBIA1390-Ubi::OsMIR535::NOS, and the STTM535 construct pCAMBIA1390-Ubi:: sttm-MIR535:: NOS. (B) Sequencing diagram of the wild-type (WT) and osmir535 mutant on the OsmiR535 genomic region. (C) Predicted OsmiR535 secondary structure of WT and osmir535.
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Figure 3. External ABA and NaCl stress testing of OsmiR535 overexpression, STTM inhibition and CRISPR/Cas9 knockout seedlings. (A) 10 μM ABA and 200 mM NaCl treatment of WT and transgenic lines. Lateral root number (B), shoot length (C), and primary root length (D) of WT and transgenic lines under 10 μM ABA treatment. Lateral root number (E), shoot length (F) and primary root length (G) of WT and transgenic lines under 200 mM NaCl treatment. Three replicates of 15 plants were treated. Error bars represent the SD. “ns” represents no significance; One asterisk(*), double asterisk(**), triple asterisk (***) or quadruple asterisk (****) represents p < 0.05, p < 0.01, p < 0.001 or p < 0.0001 or statistical difference from the controls, respectively.
Figure 3. External ABA and NaCl stress testing of OsmiR535 overexpression, STTM inhibition and CRISPR/Cas9 knockout seedlings. (A) 10 μM ABA and 200 mM NaCl treatment of WT and transgenic lines. Lateral root number (B), shoot length (C), and primary root length (D) of WT and transgenic lines under 10 μM ABA treatment. Lateral root number (E), shoot length (F) and primary root length (G) of WT and transgenic lines under 200 mM NaCl treatment. Three replicates of 15 plants were treated. Error bars represent the SD. “ns” represents no significance; One asterisk(*), double asterisk(**), triple asterisk (***) or quadruple asterisk (****) represents p < 0.05, p < 0.01, p < 0.001 or p < 0.0001 or statistical difference from the controls, respectively.
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Figure 4. Identification and drought-tolerance tests of OsmiR535 overexpression, STTM inhibition, and CRISPR/Cas9 knockout plants. (A) The phenotype of rice seedlings grown in hydroponic solutions containing 20% PEG for 10 days and recovery for 10 days. (B) The phenotype of rice seedlings grown after 2 days of dehydration and recovery for 8 days. (C) The survival rate (%) of WT and transgenic lines after 10 days of PEG-induced stress recovery. (D) The survival rate (%) of WT and transgenic lines after 2 days of dehydration stress recovery. (E) NBT (Nitroblue tetrazolium) and DAB (3,3-diamino benzidine) staining of dehydration-stressed plant leaves. One asterisk (*), double asterisk (**), triple asterisk (***) or quadruple asterisk (****) represents p < 0.05, p < 0.01, p < 0.001 or p < 0.0001 or statistical difference from the controls, respectively.
Figure 4. Identification and drought-tolerance tests of OsmiR535 overexpression, STTM inhibition, and CRISPR/Cas9 knockout plants. (A) The phenotype of rice seedlings grown in hydroponic solutions containing 20% PEG for 10 days and recovery for 10 days. (B) The phenotype of rice seedlings grown after 2 days of dehydration and recovery for 8 days. (C) The survival rate (%) of WT and transgenic lines after 10 days of PEG-induced stress recovery. (D) The survival rate (%) of WT and transgenic lines after 2 days of dehydration stress recovery. (E) NBT (Nitroblue tetrazolium) and DAB (3,3-diamino benzidine) staining of dehydration-stressed plant leaves. One asterisk (*), double asterisk (**), triple asterisk (***) or quadruple asterisk (****) represents p < 0.05, p < 0.01, p < 0.001 or p < 0.0001 or statistical difference from the controls, respectively.
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Table 1. The primers used in this study.
Table 1. The primers used in this study.
PrimerSequence (5′–3′)For Experiment
KpnI-MIR535-FATAGGTACCGAGGGAGAGAAGAGAGGACACAOverexpression
BamHI-MIR535-RCGCGGATCCCAATAAGAGAACATTTAGGGGA
miR535gRT1CTCACCGTGACCGCCGCACGTTTTAGAGCTAGAAATCRISPR/cas9
OsU6aT1GTGCGGCGGTCACGGTGAGCGGCAGCCAAGCCAGCA
miR535gRT2GCACGCAGGTACGCCGCCGGTTTTAGAGCTAGAAAT
miR535OsU3T2CGGCGGCGTACCTGCGTGCTGCCACGGATCATCTGC
KpnI-STTM535-FCAGGGTACCTGACAACGAGACTAGAGAGCACGCGTTGTTGTTGTTATGGTCTASTTM
BamHI-STTM535-RCGCGGATCCGCGTGCTCTCTAGTCTCGTTGTCAATTCTTCTTCTTTAGACCAT
qOsUBQ-FGAAGGAGGAGGAAATCGAACRealtime-qPCR
qOsUBQ-RCTTCACAGAGGTGATGCTAAGG
qOsSPL2-FCGTGTTCCAAGAGCCGTACTA
qOsSPL2-RGCAGTGGTAGTGGCAGATTTT
qOsSPL7-FCGCTCCAGGGAGTCAAGGAG
qOsSPL7-RGAGCACGTGGAACCGGCTGC
qOsSPL11FGCAGATGCATCTGAAACTGC
qOsSPL11RGGTACACTGGGCAATGTGCTGT
qSPL14FTCCATTTTGCAGGTCCGGACG
qSPL14RGATGCTTGCTGTACAGGATC
qSPL16-FTCTCTGCCGTTCTCATGGCAG
qSPL16-RCTTACCATGGCAGAAAAGAAC
qSPL19FGAAGATGGAGCCAACATTACC
qSPL19RGATTCTGCTGAAAGAAGAGGGG
qSPL18FCAAGATGTTCTCCTCCGACG
qSPL18RAGTTGGCCGGGGATGACA
qMIR535-FGGCGGTGACAACGAGAGAGA
qMIR535-RGCAGTGACAACGGGAGAAAG

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MDPI and ACS Style

Yue, E.; Cao, H.; Liu, B. OsmiR535, a Potential Genetic Editing Target for Drought and Salinity Stress Tolerance in Oryza sativa. Plants 2020, 9, 1337. https://0-doi-org.brum.beds.ac.uk/10.3390/plants9101337

AMA Style

Yue E, Cao H, Liu B. OsmiR535, a Potential Genetic Editing Target for Drought and Salinity Stress Tolerance in Oryza sativa. Plants. 2020; 9(10):1337. https://0-doi-org.brum.beds.ac.uk/10.3390/plants9101337

Chicago/Turabian Style

Yue, Erkui, Huan Cao, and Bohan Liu. 2020. "OsmiR535, a Potential Genetic Editing Target for Drought and Salinity Stress Tolerance in Oryza sativa" Plants 9, no. 10: 1337. https://0-doi-org.brum.beds.ac.uk/10.3390/plants9101337

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