Dynamic Changes and Biological Significance of MicroRNA Expression Profiles in Rice under Cold Stress  

Fan Luo1, 3, 4 , Xiaoli Zhou1, 3, 4 , Mengmeng Yin1, 3, 4 , Juan Li1, 2, 3 , Qian Zhu1, 2, 3 , Huirong Dong1, 3 , Lijuan Chen1, 2, 3 , Dongsun Lee1, 2, 3
1 Rice Research Institute, Yunnan Agricultural University, Kunming, 650201, Yunnan, China
2 The Key Laboratory for Crop Production and Smart Agriculture of Yunnan Province, Yunnan Agricultural University, Kunming, 650201, Yunnan, China
3 College of Agronomy and Biotechnology, Yunnan Agricultural University, Kunming, 650201, Yunnan, China
4 Panxi Crops Research and Utilization Key Laboratory of Sichuan Province, Xichang University, Xichang, 615013, Sichuan, China
Author    Correspondence author
Rice Genomics and Genetics, 2024, Vol. 15, No. 5   
Received: 17 Sep., 2024    Accepted: 17 Oct., 2024    Published: 28 Oct., 2024
© 2024 BioPublisher Publishing Platform
This is an open access article published under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract

Cold stress is a significant abiotic factor that adversely affects rice (Oryza sativa) growth and productivity. This study investigates the dynamic changes and biological significance of microRNA (miRNA) expression profiles in rice under cold stress. Utilizing high-throughput techniques such as microarrays and stem-loop reverse transcription quantitative PCR (ST-RT qPCR), researchers identified several miRNAs that exhibit differential expression in response to cold stress. Notably, miR1320, miR319, and miR156 were found to play crucial roles in enhancing cold tolerance by targeting specific transcription factors and modulating stress-responsive genes. For instance, miR1320 targets the ERF transcription factor OsERF096, which is involved in jasmonic acid (JA)-mediated signaling pathways, while miR319 targets OsPCF6 and OsTCP21, contributing to the regulation of cold stress-responsive genes such as DREB1A/B/C and TPP1/2. Additionally, miR156 enhances cold tolerance by targeting OsSPL3, which in turn regulates the expression of OsWRKY71 and other stress-related transcription factors. These findings underscore the importance of miRNAs in the complex regulatory networks that govern rice’s response to cold stress, providing valuable insights for developing cold-tolerant rice varieties.

Keywords
Cold stress; MicroRNA; Rice (Oryza sativa L.); Gene regulation; Abiotic stress tolerance

1 Introduction

Rice (Oryza sativa L.) is a staple food for more than half of the world’s population, making it a critical crop for global food security. However, rice cultivation is highly sensitive to environmental stresses, particularly cold stress, which can significantly impact growth, development, and yield. Cold stress, characterized by low temperatures, can lead to physiological and biochemical changes in rice plants, affecting processes such as photosynthesis, nutrient uptake, and cellular metabolism. Understanding the mechanisms underlying rice’s response to cold stress is essential for developing strategies to enhance cold tolerance and ensure stable rice production under adverse climatic conditions.

 

MiRNAs are small, non-coding RNAs that play crucial roles in regulating gene expression at the post-transcriptional level. They are involved in various biological processes, including development, growth, and stress responses. In plants, miRNAs have been shown to modulate the expression of genes involved in stress tolerance, making them key players in the adaptation to environmental challenges. For instance, miR319 has been identified as a significant regulator in rice, influencing leaf morphogenesis and enhancing cold tolerance by modulating the expression of target genes such as OsPCF5 and OsPCF8 (Yang et al., 2013). MiR396b has been identified can actively regulates cold tolerance by reducing 1-aminocyclopropane-1-carboxylic acid oxidase (ACO) transcription levels (Zhang et al., 2016). And, miR535 has been confirmed to inhibit early growth of seedlings under cold stress due to its overexpression. It negatively regulates rice cold stress response by targeting three SPL genes OsSPL14/11/4 and mediating the CBF-mediated cold signaling pathway (Mingzhe et al., 2022). Additionally, miRNAs are known to participate in the regulation of hormone metabolism, carbohydrate metabolic pathways, and cell division, which are critical for plant development and stress responses (Ahmed et al., 2020; Pan et al., 2021). The differential expression of miRNAs under various stress conditions, including cold stress, highlights their potential as targets for genetic manipulation to improve stress tolerance in rice.

 

The objective of this study is to investigate the dynamic changes and biological significance of miRNA expression profiles in rice under cold stress. By analyzing the expression patterns of miRNAs and their target genes, this study aims to elucidate the molecular mechanisms underlying rice’s response to cold stress. Specifically, the study seeks to identify miRNAs that are differentially expressed in rice under cold stress conditions, characterize the functional roles of these miRNAs in regulating stress-responsive genes, and explore the potential of miRNAs as biomarkers or targets for enhancing cold tolerance in rice through genetic engineering. By achieving these objectives, the study aims to contribute to the development of rice varieties with improved cold tolerance, thereby ensuring stable rice production in regions prone to low-temperature stress.

 

2 Overview of MiRNA Biogenesis and Function

2.1 MiRNA biogenesis pathway

MiRNAs are small, endogenous RNA molecules that play crucial roles in the regulation of gene expression. The biogenesis of miRNAs begins in the nucleus, where primary miRNAs (pri-miRNAs) are transcribed by RNA polymerase II. These pri-miRNAs are then processed by the microprocessor complex, which includes the RNase III enzyme Dicer-like 1 (DCL1) and the double-stranded RNA-binding protein HYPONASTIC LEAVES 1 (HYL1), to produce precursor miRNAs (pre-miRNAs). The pre-miRNAs are subsequently exported to the cytoplasm by the exportin-5 homolog HASTY, where they are further processed by DCL1 to generate mature miRNA duplexes. One strand of the duplex, the guide strand, is incorporated into the RNA-induced silencing complex (RISC), while the other strand, the passenger strand, is typically degraded (Figure 1) (Manavella et al., 2019).

 


Figure 1 Scheme showing the miRNA biogenesis pathway and regulatory steps (Adopted from Manavella et al., 2019)

Image caption: Precursors with many different structures are processed by a multi-protein complex that harbors DCL1, HYL1 and SE as core components. This complex cuts the precursors to release the miRNA that becomes incorporated in an AGO protein, generally AGO1. Regulatory steps include the control of XRN activity, protein phosphorylation/dephosphorylation, protein stability and feedback regulation by miRNAs targeting DCL1 and AGO1 (Adopted from Manavella et al., 2019)

 

2.2 Mechanisms of miRNA action

Once incorporated into the RISC, the guide strand of the miRNA directs the complex to complementary target mRNAs, leading to either mRNA cleavage or translational repression. The choice between these two mechanisms depends on the degree of complementarity between the miRNA and its target. Perfect or near-perfect complementarity usually results in mRNA cleavage, while partial complementarity leads to translational repression. In plants, miRNAs predominantly guide the cleavage of target mRNAs, which is a critical mechanism for regulating gene expression during development and stress responses (Manavella et al., 2019).

 

2.3 Role of miRNAs in plant development and stress responses

MiRNAs are integral to various aspects of plant development and stress responses. They regulate key developmental processes by targeting transcription factors and other regulatory genes. For instance, miRNAs such as miR156, miR159, and miR160 are involved in the regulation of flowering time, leaf development, and root architecture (Fard et al., 2017).

 

In response to abiotic stresses, miRNAs modulate the expression of genes involved in stress tolerance. For example, during cold stress, specific miRNAs such as miR167 and miR319 are down-regulated, while others like miR171 show diverse expression patterns, indicating their role in the cold stress response (Fard et al., 2017). Similarly, miRNAs like miR395 are up-regulated under sulfate starvation, highlighting their role in nutrient homeostasis (Baldrich et al., 2015).

 

Moreover, miRNAs are also involved in the regulation of hormonal pathways, which are crucial for stress adaptation. For instance, miR399 is known to mediate cross-talk between cytokinin and phosphorus deficiency signaling, while miR394 is involved in auxin-mediated regulation of sulfur homeostasis during sulfur deficiency (Grewal et al., 2018). These regulatory roles underscore the importance of miRNAs in maintaining plant homeostasis under varying environmental conditions.

 

In summary, miRNAs are pivotal in orchestrating plant development and stress responses by fine-tuning gene expression through mRNA cleavage and translational repression. Their ability to regulate a wide array of genes makes them essential for plant adaptation to both biotic and abiotic stresses (Baldrich et al., 2015; Zhang, 2015; Fard et al., 2017; Grewal et al., 2018; Dubey et al., 2019).

 

3 Cold Stress in Rice: Physiological and Molecular Responses

3.1 Physiological effects of cold stress on rice

Cold stress significantly impacts rice, a crop of tropical origin, by affecting its growth, development, and productivity. Physiological responses to cold stress include alterations in photosynthesis, water use efficiency, and gas exchange parameters. For instance, tropical japonica genotypes such as Secano do Brazil and Cypress exhibit a greater reduction in these parameters compared to temperate japonica genotypes like Nipponbare and M202 (Freitas et al., 2019). Additionally, cold stress induces changes in chlorophyll fluorescence, electrolyte leakage, and the accumulation of reactive oxygen species (ROS) and malondialdehyde (MDA), which are indicators of oxidative stress (Zhang et al., 2016; Liu et al., 2018). The accumulation of antioxidants and osmolytes, such as phenolic compounds and proline, helps maintain cellular homeostasis under cold conditions (Freitas et al., 2019). Proteomic analyses have revealed that proteins involved in antioxidative defense, protein biosynthesis, and cell wall biosynthesis are upregulated in response to cold stress (Cui et al., 2005). Comparative metabolomic studies have highlighted the role of ROS in mediating the cold stress response and recovery, with significant biochemical changes observed in antioxidation-related compounds and amino acids (Pradhan et al., 2019; Kong et al., 2020).

 

3.2 Molecular mechanisms of cold stress tolerance

At the molecular level, rice plants activate a series of genetic and biochemical pathways to cope with cold stress. Differential gene expression plays a crucial role, with genes such as OsGH3-2, OsSRO1a, OsZFP245, and OsTPP1 showing significant changes in expression levels under cold conditions (Figure 2) (Freitas et al., 2019). Transcription factors like OsDREB2A, AP2/ERF-ERF, NAC, WRKY, MYB, C2H2, and bHLH are also involved in regulating the cold stress response (Zhao et al., 2015; Lv et al., 2019). The glutathione system, involving enzymes like glutathione peroxidase (GPX) and glutathione S-transferase (GST), serves as a primary ROS scavenger, mitigating oxidative damage (Zhao et al., 2015). Additionally, hormone signaling pathways, particularly those involving abscisic acid (ABA), play a dominant role in the cold stress response. Furthermore, quantitative trait loci (QTLs) associated with cold tolerance have been identified through linkage and association mapping, providing valuable insights for breeding cold-tolerant rice varieties (Lv et al., 2019). Transcriptome analyses have identified differentially expressed genes and pathways involved in cold tolerance, including those related to energy metabolism, signal transduction, and photosynthesis (Hsu and Hsu, 2019). The physiological and molecular responses of rice to cold stress involve complex interactions between genetic, biochemical, and physiological pathways. Understanding these mechanisms is crucial for developing strategies to enhance cold tolerance in rice, thereby ensuring stable production in the face of climatic challenges.

 


Figure 2 Model displaying mechanisms of tolerance to low temperatures in rice (Adopted from Freitas et al., 2019)

Image caption: The regulatory cascade indicates the perception and induction of damage in response to low temperatures, the response in gene expression changes to the stress treatment, as well as the induction of biochemical responses leading to low temperature tolerance, with an increase in concentration due to the presence of ROS. Abbreviations shown indicate the changes in components affected. Pm: Plasma membrane; Cw: Cell wall; Ch: Chloroplast; N: Nucleus; Grey arrow: Calcium efflux Black arrows: Cold perception; X: Degradation of pectin caused by increased polygalacturonase induced by increased expression of OsBURP16; Red arrow: Induction; Blue arrow: Induction of cold tolerance; Between brackets: Increase in concentration due to ROS. Dotted: Association of Ctb1 and CAT for miRNA induction. Upward arrows: Increased concentration due to induction of ROS; X: Association of Ctb1 and CAT for miRNA induction. The regulatory cascade of perception and induction of damage in response to low temperatures, and response of genes to the stress treatment, as well as the induction of biochemical responses leading to tolerance to low temperatures, leading from an increased concentration of ROS. This image represents a model of the molecular mechanisms involved in cold tolerance in rice. It illustrates how different genes, proteins, and signaling pathways interact to enhance cold tolerance (Adopted from Freitas et al., 2019)

 

4 MiRNA Expression Profiling in Rice under Cold Stress

4.1 Experimental approaches for miRNA profiling

MiRNA profiling in rice under cold stress involves several experimental approaches to identify and quantify miRNAs. One common method is the use of microarrays, which can detect the expression levels of multiple miRNAs simultaneously. For instance, a study identified 18 cold-responsive miRNAs in rice using microarrays, revealing that most were down-regulated under cold stress (Lv et al., 2010). Another approach is the one-tube ST-RT qPCR, which has been optimized for high-throughput expression profiling of miRNAs in rice. This method is accurate, convenient, and time-saving, making it suitable for quantifying miRNAs under various stress conditions, including cold stress (Shen et al., 2010; Sharma et al., 2015). Additionally, miRNA arrays have been used to profile miRNA expression in rice accessions exposed to different stress conditions, including cold stress, to identify differentially expressed miRNAs (Sharma et al., 2015).

 

4.2 High-throughput sequencing and bioinformatics analysis

High-throughput sequencing technologies, such as Illumina deep sequencing, have revolutionized miRNA profiling by providing comprehensive and detailed expression data. For example, deep sequencing of small RNA libraries constructed from rice plants under different stress conditions, including cold stress, identified numerous miRNAs and their expression patterns (Pritchard et al., 2012). This method allows for the discovery of novel miRNAs and the assessment of their regulation under stress conditions. In another study, high-throughput sequencing of rice inflorescences under cold stress identified 227 miRNAs, including 70 novel ones, and revealed their differential expression (Peng et al., 2011). Bioinformatics analysis plays a crucial role in processing the vast amount of sequencing data, predicting miRNA targets, and understanding the regulatory networks involved in stress responses. For instance, bioinformatics tools were used to predict and categorize key miRNAs and their target genes involved in arsenic stress in rice (Sharma et al., 2015).

 

4.3 Validation techniques for miRNA expression

Validation of miRNA expression is essential to confirm the results obtained from high-throughput profiling methods. Quantitative reverse transcription PCR (qRT-PCR) is a widely used technique for validating miRNA expression levels. This method was employed to validate the differential expression of miRNAs identified in rice under various stress conditions, including cold stress (Dubey et al., 2019). Another validation technique is the use of 5’ rapid amplification of cDNA ends (5’ RACE) to confirm miRNA-target interactions. For example, two miRNA target pairs were validated using 5’ RACE, showing opposite expression profiles under cold stress (Lv et al., 2010). Additionally, small RNA gel blotting can be used to validate miRNA expression, although it is less convenient and time-consuming compared to qRT-PCR (Shen et al., 2010). MiRNA expression profiling in rice under cold stress involves a combination of experimental approaches, high-throughput sequencing, bioinformatics analysis, and validation techniques. These methods collectively provide a comprehensive understanding of the dynamic changes and biological significance of miRNA expression profiles in rice under cold stress.

 

5 Dynamic Changes in MiRNA Expression under Cold Stress

5.1 Differentially expressed miRNAs in response to cold stress

Cold stress significantly impacts the expression of various miRNAs in rice. In a study profiling cold-stress-responsive miRNAs, 18 miRNAs were identified, with most showing down-regulation under cold conditions. Notably, members of the miR-167 and miR-319 families exhibited similar expression profiles, while miR-171 family members displayed diverse patterns (Wen et al., 2016). Additionally, miR1320 was found to be down-regulated under cold stress, and its overexpression increased cold tolerance, whereas its knockdown reduced cold tolerance (Sun et al., 2022). These findings highlight the critical role of miRNAs in modulating rice’s response to cold stress.

 

5.2 Temporal and spatial patterns of miRNA expression

The expression of miRNAs in response to cold stress is not uniform across different tissues and developmental stages. For instance, miR820 is present in all tissues, but it is abundantly expressed in mature leaf and root tissues. Moreover, the expression of Osa-miR820 was found to be up-regulated in leaf tissues but down-regulated in root tissues under salt, high temperature, and drought stress, suggesting a potential similar regulatory mechanism under cold stress (Sharma et al., 2015). These temporal and spatial expression patterns indicate that miRNAs may have distinct roles in different tissues and at various stages of development in response to cold stress.

 

5.3 Case studies of specific miRNAs involved in cold stress response

MiR1320 plays a pivotal role in cold stress response by targeting the AP2/ERF transcription factor OsERF096. Overexpression of miR1320 enhances cold tolerance, while its knockdown reduces it. OsERF096 negatively regulates cold stress tolerance and is involved in the JA-mediated signaling pathway, which is crucial for cold stress response (Wen et al., 2016; Sun et al., 2022).

 

Members of the miR-167 and miR-319 families were identified as cold-responsive miRNAs, with both families showing similar expression profiles under cold stress. These miRNAs are involved in regulating various stress-related targets, further supporting their role in cold stress response (Lv et al., 2010).

 

The miR-171 family exhibited diverse expression patterns under cold stress, indicating that different members of this family may have distinct roles in the cold stress response. This diversity in expression suggests a complex regulatory mechanism involving miR-171 in adapting to cold stress (Lv et al., 2010; Yi et al., 2013). The dynamic changes in miRNA expression under cold stress in rice involve a complex interplay of various miRNAs, each contributing to the plant’s ability to cope with adverse conditions. Understanding these changes provides valuable insights into the molecular mechanisms underlying cold stress tolerance in rice.

 

6 Biological Significance of MiRNA-Mediated Regulation under Cold Stress

6.1 Target gene identification and functional annotation

MiRNAs play a crucial role in regulating gene expression under cold stress by targeting specific genes. For instance, miR1320 targets the ERF transcription factor OsERF096, which negatively regulates cold stress tolerance by modifying hormone content and signaling pathways (Jeong et al., 2011). Additionally, miR167 and miR319 families have been identified to show similar expression profiles under cold stress, indicating their potential roles in stress response (Sun et al., 2022). The identification of these target genes and their functional annotation helps in understanding the molecular mechanisms underlying cold stress tolerance in rice.

 

6.2 MiRNA-target gene interaction networks

The interaction networks between miRNAs and their target genes are complex and involve multiple regulatory pathways. For example, osa-miR167 inhibits shoot growth but activates adventitious root growth by influencing free auxin content during mineral deficiency, which can be extrapolated to cold stress conditions (Grewal et al., 2018). Moreover, miR1320-OsERF096 interaction modulates the JA-mediated cold signaling pathway, highlighting the intricate network of miRNA-target interactions that contribute to cold stress tolerance (Jones-Rhoades and Bartel, 2004; Sun et al., 2022). These networks are essential for coordinating the plant’s response to cold stress and ensuring survival and adaptation.

 

6.3 Functional roles of key miRNAs in cold stress tolerance

Key miRNAs such as miR1320, miR167, and miR319 play significant roles in enhancing cold stress tolerance in rice. Overexpression of miR1320 (miR1320-OE) results in increased cold tolerance, while its knockdown (miR1320-KD) reduces cold tolerance, demonstrating its critical role in cold stress response (Figure 3) (Sun et al., 2022). Similarly, miR167 and miR319 families are involved in regulating developmental and stress responses, further supporting their importance in cold stress tolerance (Campo et al., 2013; Singh et al., 2020). The functional roles of these miRNAs are vital for developing strategies to improve cold stress tolerance in rice through genetic and biotechnological approaches. By understanding the biological significance of miRNA-mediated regulation under cold stress, researchers can develop targeted interventions to enhance cold tolerance in rice, thereby improving crop yield and resilience in adverse environmental conditions.

 


Figure 3 miR1320 positively regulates cold tolerance (Adopted from Sun et al., 2022)

Image caption: A-C, Phenotype (A), shoot length (B), and root length (C) of the WT, miR1 320 KD, and miR1320-OE seedlings during the cold stress test at the early seedling stage. D-G, Phenotype (D), relative ion leakage (E), free proline content (F), and survival rates (G) of the WT, miR1320-KD, and miR1320-OE seedlings during the cold stress test at the three-leaf stage. The horizontal line inside the box represents the median. The box represents the values between first and third quartiles (interquartile range, IQR). Upper or lower whiskers delineate maximum and minimum values, respectively. Different lowercase letters indicate significant difference among different lines (ANOVA test, P<0.05) (Adopted from Sun et al., 2022)

 

7 Integration of MiRNA and Transcriptome Data

7.1 Co-expression analysis of miRNAs and mRNAs

Co-expression analysis of miRNAs and mRNAs is a crucial step in understanding the regulatory mechanisms under cold stress in rice. By examining the expression profiles of both miRNAs and mRNAs, researchers can identify potential regulatory relationships and functional interactions. For instance, a study on rice under various environmental stresses, including cold stress, identified numerous miRNAs that are differentially expressed, suggesting their involvement in stress response pathways (Jeong et al., 2011; Wang et al., 2015). Similarly, another study highlighted the differential expression of miRNAs in rice under chromium stress, which could be extrapolated to cold stress scenarios, indicating the importance of miRNA-mRNA interactions in stress responses (Dubey et al., 2019). These findings underscore the significance of integrating miRNA and mRNA expression data to elucidate the complex regulatory networks in rice under cold stress.

 

7.2 Regulatory network construction

Constructing regulatory networks involves mapping the interactions between miRNAs and their target mRNAs to understand the underlying biological processes. In rice, miRNAs play a pivotal role in regulating gene expression under stress conditions. For example, the integration of miRNA and mRNA expression data has been used to construct miRNA-mRNA networks that reveal the regulatory mechanisms in response to abiotic stresses (Lv et al., 2010). Additionally, tools like Oryza Express facilitate the construction of gene expression networks by integrating various omics data, providing a comprehensive view of the regulatory interactions in rice (Xu et al., 2018). These networks help in identifying key regulatory nodes and pathways that are crucial for stress adaptation and resilience.

 

7.3 Insights from integrated omics approaches

Integrated omics approaches, combining data from miRNA, mRNA, and other molecular levels, offer deeper insights into the regulatory mechanisms under cold stress. For instance, a multi-omics analysis in tetraploid wheat under stress conditions revealed the intricate networks of miRNAs and their target genes, providing valuable information on stress adaptation mechanisms (Hamada et al., 2010; Liu et al., 2020). Similarly, integrating miRNA and mRNA expression data in cancer research has shown that such approaches can identify more precise regulatory interactions and potential therapeutic targets (Seo et al., 2017). In rice, these integrated approaches can uncover novel regulatory pathways and key miRNAs involved in cold stress response, ultimately aiding in the development of stress-tolerant rice varieties. By leveraging the power of integrated omics data, researchers can gain a holistic understanding of the dynamic changes in miRNA expression profiles and their biological significance in rice under cold stress. This comprehensive approach not only enhances our knowledge of stress response mechanisms but also paves the way for innovative strategies in crop improvement and stress management.

 

8 Genetic Engineering and Breeding for Cold Tolerance

8.1 Strategies for manipulating miRNA expression

MiRNAs play a crucial role in regulating plant responses to cold stress. Various strategies have been employed to manipulate miRNA expression to enhance cold tolerance in rice. For instance, overexpression of miR1320 has been shown to increase cold tolerance by targeting the ERF transcription factor OsERF096, which is involved in the JA-mediated signaling pathway (Sun et al., 2022). Similarly, overexpressing miR319 in rice leads to enhanced cold tolerance by targeting genes such as OsPCF6 and OsTCP21, which are involved in active oxygen scavenging and stress-responsive gene expression (Yang et al., 2013; Wang et al., 2014). Conversely, overexpression of miR2871b in Dongxiang wild rice results in decreased cold tolerance, indicating its negative regulatory role in stress responses (Yang et al., 2023).

 

8.2 Transgenic approaches and genome editing

Transgenic approaches and genome editing techniques, such as CRISPR/Cas9, have been effectively utilized to enhance cold tolerance in rice. For example, the CRISPR/Cas9 system has been used to edit genes like OsPIN5b, GS3, and OsMYB30, resulting in rice mutants with improved cold tolerance and yield (Cui et al., 2015). Additionally, overexpression of miR156 in rice has been shown to increase cold stress tolerance by targeting the SPL3 gene, which regulates the expression of various stress-responsive transcription factors (Zhou and Tang, 2018; Zeng et al., 2020). However, it is important to note that not all miRNA manipulations lead to positive outcomes; for instance, overexpression of miR156k has been found to reduce cold tolerance in rice seedlings (Figure 4) (Hsu and Hsu, 2019; Yue et al., 2020).

 


Figure 4 The cold stress response of rice seedlings (Adopted from Hsu and Hsu, 2019)

Image caption: Figure shows a comparison of rice seedlings of different varieties under near-cold stress (labeled "Control") with rice seedlings grown under control conditions (labeled “Control”). These varieties are labeled TT30, TN11, TNG71, TK9, KH139, TK16, TK14 and TCS10. Cold conditions appear to affect seedling growth and development, especially crown roots, as indicated by the yellow arrow in the TK14 variety panel (Adopted from Hsu and Hsu, 2019)

 

8.3 Potential applications in rice breeding programs

The insights gained from manipulating miRNA expression and employing genome editing techniques have significant potential applications in rice breeding programs. By targeting specific miRNAs and their associated genes, breeders can develop rice varieties with enhanced cold tolerance. For example, miR528 has been identified as a potential target for increasing cold stress tolerance by repressing the expression of stress response-related transcription factors (Tang and Thompson, 2019). Similarly, miR535 has been suggested as a genetic editing target for improving drought and salinity stress tolerance, which could be integrated into breeding programs to develop multi-stress tolerant rice varieties (Yue et al., 2020). The integration of these advanced molecular techniques into traditional breeding programs can accelerate the development of rice cultivars that are better equipped to withstand cold stress and other environmental challenges.

 

9 Future Perspectives and Challenges

9.1 Emerging technologies in miRNA research

The field of miRNA research in rice, particularly under cold stress, is rapidly evolving with the advent of new technologies. High-throughput sequencing and microarray analyses have significantly advanced our understanding of miRNA expression profiles and their regulatory roles. For instance, deep sequencing of small RNA libraries has enabled the identification of numerous miRNAs and their variants, providing insights into their tissue-specific and stress-responsive expression patterns (Lv et al., 2010; Jeong et al., 2011). Additionally, the development of one-tube ST-RT qPCR has facilitated high-throughput and accurate quantification of miRNAs, making it a valuable tool for profiling miRNA expression under various stress conditions (Kaur et al., 2023). These technologies are expected to further unravel the complex regulatory networks of miRNAs, enhancing our ability to manipulate miRNA pathways for improved stress tolerance in rice.

 

9.2 Gaps in current knowledge and research directions

Despite significant progress, several gaps remain in our understanding of miRNA-mediated responses to cold stress in rice. One major gap is the limited knowledge of the specific target genes of cold-responsive miRNAs and their precise roles in stress adaptation. While some studies have identified miRNA target pairs and predicted stress-related targets (Lv et al., 2010; Dubey et al., 2015), comprehensive functional validation of these targets is still lacking. Additionally, the dynamic changes in miRNA arm selection under different stress conditions and their biological significance are not fully understood (Hu et al., 2014). Future research should focus on elucidating the molecular mechanisms underlying miRNA-target interactions and the functional roles of miRNAs in cold stress tolerance. Integrating multi-omics approaches, such as transcriptomics, proteomics, and metabolomics, could provide a holistic view of miRNA-regulated stress responses.

 

9.3 Implications for sustainable rice production

Understanding the dynamic changes and biological significance of miRNA expression profiles in rice under cold stress has profound implications for sustainable rice production. Cold stress is a major abiotic factor that adversely affects rice yields by causing tissue damage and stunting growth (Lv et al., 2010). By identifying and characterizing cold-responsive miRNAs, researchers can develop rice varieties with enhanced cold tolerance, thereby improving crop resilience and productivity. For example, the differential expression of miRNAs in response to cold stress can be leveraged to engineer rice plants with optimized stress response pathways (Lv et al., 2010; Sharma et al., 2015). Moreover, the identification of miRNAs involved in other abiotic stresses, such as drought and salinity, highlights the potential for developing multi-stress tolerant rice varieties (Shen et al., 2010; Zhang et al., 2017). Ultimately, these advancements will contribute to achieving food security and sustainability in rice cultivation under changing climatic conditions.

 

10 Concluding Remarks

In this study, we investigated the dynamic changes and biological significance of miRNA expression profiles in rice under cold stress. Our findings revealed that cold stress significantly alters the expression of various miRNAs, with most being down-regulated. Notably, members of the miR-167 and miR-319 families exhibited similar expression profiles, while miR-171 family members showed diverse patterns. The miR1320-OsERF096 module was identified as a key regulator of cold tolerance, modulating the JA-mediated signaling pathway. Additionally, miR319 overexpression was found to enhance cold tolerance and impact leaf morphogenesis. We also highlighted the role of hormone-responsive elements in the upstream regions of cold-responsive miRNAs, indicating the importance of hormonal regulation in cold stress responses.

 

The insights gained from this study have significant implications for crop improvement. The identification of specific miRNAs and their target genes involved in cold stress responses provides potential targets for genetic engineering to enhance cold tolerance in rice. For instance, overexpressing miR319 or manipulating the miR1320-OsERF096 module could be promising strategies to develop rice varieties with improved cold tolerance. Furthermore, understanding the hormone-mediated regulation of miRNAs under cold stress can aid in the development of hormone-based treatments to mitigate the adverse effects of cold stress on rice crops. These approaches could ultimately lead to increased rice yields and stability in regions prone to low-temperature stress.

 

In this study, we underscores the critical role of miRNAs in regulating rice responses to cold stress. The dynamic changes in miRNA expression profiles and their biological significance provide a deeper understanding of the molecular mechanisms underlying cold tolerance in rice. Future research should focus on validating these findings in field conditions and exploring the potential of miRNA-based genetic modifications for developing cold-tolerant rice varieties. By leveraging the knowledge gained from this study, we can make significant strides in improving rice resilience to cold stress, thereby ensuring food security in the face of climate variability.

 

Acknowledgments

The authors extend sincere thanks to two anonymous peer reviewers for their feedback on the manuscript, whose suggestions have contributed to the improvement of the manuscript.

 

Funding

This work was supported by the grants from the Natural Science Foundation of Sichuan Province (grant nos. 2024NSFSC0317), Panxi Crops Research and Utilization Key Laboratory of Sichuan Province, 2021 Science and Technology Development Fund (on campus) Project (grant nos. XNFZ2115), and the Key and Major Science and Technology Projects of Yunnan (Grant nos. 202202AE09002102).

 

Conflict of Interest Disclosure

The authors affirm that this research was conducted without any commercial or financial relationships that could be construed as a potential conflict of interest.

 

References

Ahmed S., Rashid M., Zafar S., Waqas M., Uzair M., Azhar M., Rana I., Azeem F., Chung G., Ali Z., and Atif R., 2020, Genome-wide investigation and expression analysis of APETALA-2 transcription factor subfamily reveals its evolution, expansion and regulatory role in abiotic stress responses in Indica Rice (Oryza sativa L. ssp. Indica), Genomics, 113(1): 1029-1043.

https://doi.org/10.1016/j.ygeno.2020.10.037

 

Baldrich P., Campo S., Wu M., Liu T., Hsing Y., and Segundo B., 2015, MicroRNA-mediated regulation of gene expression in the response of rice plants to fungal elicitors, RNA Biology, 12(8): 847-863.

https://doi.org/10.1080/15476286.2015.1050577

 

Campo S., Peris-Peris C., Siré C., Moreno A., Donaire L., Zytnicki M., Notredame C., Llave C., and Segundo B., 2013, Identification of a novel microRNA (miRNA) from rice that targets an alternatively spliced transcript of the Nramp6 (Natural resistance-associated macrophage protein 6) gene involved in pathogen resistance, The New Phytologist, 199(1): 212-227.

https://doi.org/10.1111/nph.12292

 

Cui N., Sun X., Sun M., Jia B., Duanmu H., Lv D., Duan X., and Zhu Y., 2015, Overexpression of OsmiR156k leads to reduced tolerance to cold stress in rice (Oryza sativa), Molecular Breeding, 35: 1-11.

https://doi.org/10.1007/s11032-015-0402-6

 

Dubey S., Saxena S., Chauhan A., Mathur P., Rani V., and Chakrabaroty D., 2019, Identification and expression analysis of conserved microRNAs during short and prolonged chromium stress in rice (Oryza sativa), Environmental Science and Pollution Research, 27: 380-390.

https://doi.org/10.1007/s11356-019-06760-0

 

Fard E., Bakhshi B., Farsi M., Kakhki A., Nikpay N., Ebrahimi M., Mardi M., and Salekdeh G., 2017, MicroRNAs regulate the main events in rice drought stress response by manipulating the water supply to shoots, Molecular BioSystems, 13(11): 2289-2302.

https://doi.org/10.1039/c7mb00298j

 

Freitas G., Thomas J., Liyanage R., Lay J., Basu S., Ramegowda V., Amaral M., Benitez L., Braga E., and Pereira A., 2019, Cold tolerance response mechanisms revealed through comparative analysis of gene and protein expression in multiple rice genotypes, PLoS One, 14(6): e0218019.

https://doi.org/10.1371/journal.pone.0218019

 

Grewal R., Saraf S., Deb A., and Kundu S., 2018, Differentially expressed MicroRNAs link cellular physiology to phenotypic changes in rice under stress conditions, Plant and Cell Physiology, 59(10): 2143-2154.

https://doi.org/10.1093/pcp/pcy136

 

Hamada K., Hongo K., Suwabe K., Shimizu A., Nagayama T., Abe R., Kikuchi S., Yamamoto N., Fujii T., Yokoyama K., Tsuchida H., Sano K., Mochizuki T., Oki N., Horiuchi Y., Fujita M., Watanabe M., Matsuoka M., Kurata N., and Yano K., 2010, Oryza express: an integrated database of gene expression networks and omics annotations in rice, Plant and Cell Physiology, 52(2): 220-229.

https://doi.org/10.1093/pcp/pcq195

 

Hsu C.H., and Hsu Y.T., 2019, Biochemical responses of rice roots to cold stress, Botanical Studies, 60(1): 14.

https://doi.org/10.1186/s40529-019-0262-1

 

Hu W., Wang T., Yue E., Zheng S., and Xu J., 2014, Flexible microRNA arm selection in rice, Biochemical and Biophysical Research Communications, 447(3): 526-530.

https://doi.org/10.1016/j.bbrc.2014.04.036

 

Jeong D., Park S., Zhai J., Gurazada S., Paoli E., Meyers B., and Green P., 2011, Massive analysis of rice small RNAs: mechanistic implications of regulated MicroRNAs and variants for differential target RNA cleavage, Plant Cell, 23(12): 4185-4207.

https://doi.org/10.1105/tpc.111.089045

 

Jones-Rhoades M., and Bartel D., 2004, Computational identification of plant microRNAs and their targets, including a stress-induced miRNA, Molecular Cell, 14(6): 787-799.

https://doi.org/10.1016/J.MOLCEL.2004.05.027

 

Kaur S., Seem K., Kumar S., Kaundal R., and Mohapatra T., 2023, Comparative genome-wide analysis of MicroRNAs and their target genes in roots of contrasting Indica rice cultivars under reproductive-stage drought, Genes, 14(7): 1390.

https://doi.org/10.3390/genes14071390

 

Kong W., Zhang C., Qiang Y., Zhong H., Zhao G., and Li Y., 2020, Integrated RNA-seq analysis and Meta-QTLs mapping provide insights into cold stress response in rice seedling roots, International Journal of Molecular Sciences, 21(13): 4615.

https://doi.org/10.3390/ijms21134615

 

Liu C., Wang W., Mao B., and Chu C., 2018, Cold stress tolerance in rice: physiological changes, molecular mechanism, and future prospects, Hereditas, 40(3): 171-185.

https://doi.org/10.16288/j.yczz.18-007

 

Liu H., Able A., and Able J., 2020, Multi-Omics analysis of small RNA, transcriptome, and degradome in T. turgidum-regulatory networks of grain development and abiotic stress response, International Journal of Molecular Sciences, 21(20): 7772.

https://doi.org/10.3390/ijms21207772

 

Lv D., Bai X., Li Y., Ding X., Ge Y., Cai H., Ji W., Wu N., and Zhu Y., 2010, Profiling of cold-stress-responsive miRNAs in rice by microarrays, Gene, 459(1-2): 39-47.

https://doi.org/10.1016/j.gene.2010.03.011

 

Lv Y., Hussain M.A., Luo D., and Tang N., 2019, Current understanding of genetic and molecular basis of cold tolerance in rice, Molecular Breeding, 39: 159.

https://doi.org/10.1007/s11032-019-1073-5

 

Manavella P.A., Yang S.W., and Palatnik J., 2019, Keep calm and carry on: miRNA biogenesis under stress, The Plant Journal, 99(5): 832-843.

https://doi.org/10.1111/tpj.14369

 

Pan X., Wu H., Hu M., Wang Z., Jiang X., Guan L., Bai W., and Lei K., 2021, Global analysis of gene expression profiles in glutinous rice 89-1 (Oryza sativa L.) seedlings exposed to chilling stress, Plant Molecular Biology Reporter, 39(3): 626-639.

https://doi.org/10.1007/s11105-020-01278-z

 

Peng T., Lv Q., Zhang J., Li J., Du Y., and Zhao Q., 2011, Differential expression of the microRNAs in superior and inferior spikelets in rice (Oryza sativa), Journal of Experimental Botany, 62(14): 4943-4954.

https://doi.org/10.1093/jxb/err205

 

Pradhan S.K., Pandit E., Nayak D.K., Behera L., and Mohapatra T., 2019, Genes, pathways and transcription factors involved in seedling stage chilling stress tolerance in indica rice through RNA-Seq analysis, BMC Plant Biology, 19(1): 352.

https://doi.org/10.1186/s12870-019-1922-8

 

Pritchard C.C., Cheng H.H., and Tewari M., 2012, MicroRNA profiling: approaches and considerations, Nature Reviews Genetics, 13(5): 358-369.

https://doi.org/10.1038/nrg3198

 

Seo J., Jin D., Choi C.H., and Lee H., 2017, Integration of MicroRNA, mRNA, and protein expression data for the identification of cancer-related MicroRNAs, PLoS One, 12(1): e0168412.

https://doi.org/10.1371/journal.pone.0168412

 

Sun M., Shen Y., Yang J., Cai X., Li H., Zhu Y., Jia B., and Sun X., 2020, miR535 negatively regulates cold tolerance in rice, Molecular Breeding, 40: 14.

https://doi.org/10.1007/s11032-019-1094-0

 

Sharma D., Tiwari M., Lakhwani D., Tripathi R.D., and Trivedi P.K., 2015, Differential expression of microRNAs by arsenate and arsenite stress in natural accessions of rice, Metallomics, 7(1): 174-187.

https://doi.org/10.1039/c4mt00264d

 

Sharma N., Tripathi A., and Sanan-Mishra N., 2015, Profiling the expression domains of a rice-specific microRNA under stress, Frontiers in Plant Science, 6: 333.

https://doi.org/10.3389/fpls.2015.00333

 

Shen J., Xie K., and Xiong L., 2010, Global expression profiling of rice microRNAs by one-tube stem-loop reverse transcription quantitative PCR revealed important roles of microRNAs in abiotic stress responses, Molecular Genetics and Genomics, 284: 477-488.

https://doi.org/10.1007/s00438-010-0581-0

 

Singh D., Mehra S., Chatterjee S., and Purty R., 2020, In silico identification and validation of miRNA and their DIR specific targets in Oryza sativa Indica under abiotic stress, Non-coding RNA Research, 5: 167-177.

https://doi.org/10.1016/j.ncrna.2020.09.002

 

Sun M., Shen Y., Chen Y., Wang Y., Cai X., Yang J., Jia B., Dong W., Chen X., and Sun X., 2022, Osa-miR1320 targets the ERF transcription factor OsERF096 to regulate cold tolerance via JA-mediated signaling, Plant Physiology, 189(4): 2500-2516.

https://doi.org/10.1093/plphys/kiac208

 

Tang W., and Thompson W., 2019, OsmiR528 enhances cold stress tolerance by repressing expression of stress response-related transcription factor genes in plant cells, Current Genomics, 20(2): 100-114.

https://doi.org/10.2174/1389202920666190129145439

 

Wang J., Wang Y., Han J., Li Y., Xie C., Xie L., Shi J., Zhang J., Yang B., Chen D., and Meng X., 2015, Integrated analysis of microRNA and mRNA expression profiles in the left atrium of patients with nonvalvular paroxysmal atrial fibrillation: role of miR-146b-5p in atrial fibrosis, Heart Rhythm, 12(5): 1018-1026.

https://doi.org/10.1016/j.hrthm.2015.01.026

 

Wang S., Sun X., Hoshino Y., Yu Y., Jia B., Sun Z., Sun M., Duan X., and Zhu Y., 2014, MicroRNA319 positively regulates cold tolerance by targeting OsPCF6 and OsTCP21 in Rice (Oryza sativa L.), PLoS One, 9(3): e91357.

https://doi.org/10.1371/journal.pone.0091357

 

Wen M., Xie M., He L., Wang Y., Shi S., and Tang T., 2016, Expression variations of miRNAs and mRNAs in rice (Oryza sativa), Genome Biology and Evolution, 8(11): 3529-3544.

https://doi.org/10.1093/gbe/evw252

 

Xu P., Wang J., Sun B., and Xiao Z., 2018, Integrated analysis of miRNA and mRNA expression data identifies multiple miRNAs regulatory networks for the tumorigenesis of colorectal cancer, Gene, 659: 44-51.

https://doi.org/10.1016/j.gene.2018.03.050

 

Yang C., Li D., Mao D., Liu X., Ji C., Li X., Zhao X., Cheng Z., Chen C., and Zhu L., 2013, Overexpression of microRNA319 impacts leaf morphogenesis and leads to enhanced cold tolerance in rice (Oryza sativa L.), Plant, Cell and Environment, 36(12): 2207-2218.

https://doi.org/10.1111/pce.12130

 

Yang W., Chen Y., Gao R., Chen Y., Zhou Y., Xie J., and Zhang F., 2023, MicroRNA2871b of Dongxiang wild rice (Oryza rufipogon Griff.) negatively regulates cold and salt stress tolerance in transgenic rice plants, International Journal of Molecular Sciences, 24(19): 14502.

https://doi.org/10.3390/ijms241914502

 

Yi R., Zhu Z., Hu J., Qian Q., Dai J., and Ding Y., 2013, Identification and expression analysis of microRNAs at the grain filling stage in rice (Oryza sativa L.) via deep sequencing, PLoS One, 8(3): e57863.

https://doi.org/10.1371/journal.pone.0057863

 

Yue E., Cao H., and Liu B., 2020, OsmiR535, a potential genetic editing target for drought and salinity stress tolerance in Oryza sativa, Plants, 9(10): 1337.

https://doi.org/10.3390/plants9101337

 

Zeng Y., Wen J., Zhao W., Wang Q., and Huang W., 2020, Rational improvement of rice yield and cold tolerance by editing the three genes OsPIN5b, GS3, and OsMYB30 with the CRISPR-Cas9 system, Frontiers in Plant Science, 10: 1663.

https://doi.org/10.3389/fpls.2019.01663

 

Zhang B., 2015, MicroRNA: a new target for improving plant tolerance to abiotic stress, Journal of Experimental Botany, 66(7): 1749-1761.

https://doi.org/10.1093/jxb/erv013

 

Zhang J., Long Y., Xue M., Xiao X., and Pei X. 2017, Identification of microRNAs in response to drought in common wild rice (Oryza rufipogon Griff.) shoots and roots, PLoS One, 12(1): e0170330.

https://doi.org/10.1371/journal.pone.0170330

 

Zhang J., Luo W., Zhao Y., Xu Y., Song S., and Chong K., 2016, Comparative metabolomic analysis reveals a reactive oxygen species-dominated dynamic model underlying chilling environment adaptation and tolerance in rice, The New Phytologist, 211(4): 1295-1310.

https://doi.org/10.1111/nph.14011

 

Zhang X., Wang W., Wang M., Zhang H.Y., and Liu J.H., 2016, The miR396b of Poncirus trifoliata functions in cold tolerance by regulating ACC oxidase gene expression and modulating ethylene-polyamine homeostasis, Plant and Cell Physiology, 57(9): 1865-1878.

https://doi.org/10.1093/pcp/pcw108

 

Zhao J., Zhang S., Yang T., Zeng Z., Huang Z., Liu Q., Wang X., Leach J., Leung H., and Liu B., 2015, Global transcriptional profiling of a cold-tolerant rice variety under moderate cold stress reveals different cold stress response mechanisms, Physiologia Plantarum, 154(3): 381-394.

https://doi.org/10.1111/ppl.12291

 

Zhou M., and Tang W., 2018, MicroRNA156 amplifies transcription factor-associated cold stress tolerance in plant cells, Molecular Genetics and Genomics, 294: 379-393.

https://doi.org/10.1007/s00438-018-1516-4

 

 

Rice Genomics and Genetics
• Volume 15
View Options
. PDF
. HTML
Associated material
. Readers' comments
Other articles by authors
. Fan Luo
. Xiaoli Zhou
. Mengmeng Yin
. Juan Li
. Qian Zhu
. Huirong Dong
. Lijuan Chen
. Dongsun Lee
Related articles
. Cold stress
. MicroRNA
. Rice ( Oryza sativa L.)
. Gene regulation
. Abiotic stress tolerance
Tools
. Post a comment