Author:
Adil Rahim Margay*
Journal Name: Biological Forum – An International Journal, 16(3): 262-275, 2024
Address:
*ICAR-National Institute for Plant Biotechnology, New Delhi, India.
(Corresponding author: Adil Rahim Margay*)
DOI: -
Biotic, Abiotic Stress, signalling Pathway, Molecular mechanism.
Understanding the complex signaling mechanisms in which plants respond to biotic and abiotic stress is of utmost importance in agricultural and ecological research. Recent studies have shed light on the diversity of these signaling pathways and revealed new insights into how plants sense, integrate and respond to various stressors. Investigating plant responses to biotic stressors, recent studies have highlighted the role of plant hormones such as salicylic acid (SA), jasmonic acid (JA) and ethylene in organizing defense mechanisms against pathogens and pests. In addition, the discovery of plant immune receptors and their complex interaction with microbial effectors provided new ways to understand the molecular basis of plant-pathogen interactions (Zipfel, 2023). In addition, advances in molecular and omics technologies have helped researchers unravel the complex networks underlying plant responses to abiotic stresses such as drought, salinity, and temperature extremes. The identification of key transcription factors, kinases and signaling molecules involved in stress sensing and signaling has expanded our understanding of how plants adapt to complex environmental conditions. In addition, recent studies have elucidated the crosstalk between biotic and abiotic stress signaling pathways and revealed complex regulatory mechanisms that fine-tune plant responses to multiple stressors simultaneously. This cross-functional integration of signaling pathways highlights the complexity of plant stress responses and emphasizes the importance of holistic approaches to the study of plant-environment interactions. The advent of CRISPR-Cas9 gene editing technology has revolutionized plant research by allowing precise manipulation of target genes involved in stress response pathways (Liang et al., 2023). This success accelerated the functional characterization of candidate genes and facilitated the development of stress-tolerant crop varieties that can better tolerate environmental challenges. In addition, the application of advanced imaging techniques such as live cell imaging and fluorescence microscopy provided real-time information on the dynamics of signaling events in plant cells under stress conditions (Chen et al., 2023). By imaging molecular processes in situ, scientists can gain a deeper understanding of signal transduction mechanisms and identify potential targets for genetic engineering or agronomic interventions. In this review, we try to provide a comprehensive overview of recent advances in the understanding of plant signaling mechanisms in response to biotic and abiotic stress, based on many research findings in plant biology disciplines. By elucidating the complexity of these signaling networks, we can find new ways to develop innovative strategies to improve crop tolerance and resilience under changing environmental conditions (Wang et al., 2021).
RECOGNITION OF PATHOGENS AND PESTS IN PLANTS
Identification of pathogens and pests in agricultural systems is crucial for effective disease and pest control strategies. Recent advances in molecular biology and technology have revolutionized methods of detecting and identifying these threats, allowing for more precise and timely intervention. Traditional methods such as visual inspection and symptom monitoring are still important for early detection. These methods, although subjective, provide initial clues for further research. Molecular techniques, including polymerase chain reaction (PCR) and DNA sequencing, have greatly improved the accuracy of pathogen identification (Jones et al., 2022). These methods make it possible to identify pathogens even before visible symptoms appear, which improves preventive control measures. Next-generation sequencing technologies (NGS) offer high throughput, enabling simultaneous detection and characterization of multiple pathogens. NGS has revolutionized pathogen tracking and provides valuable information on microbial diversity and evolution. Metagenomic approaches have become powerful tools for studying complex pathogen communities in agricultural ecosystems (Zhang et al., 2023). By analyzing entire microbial populations, metagenomics enables a comprehensive understanding of disease dynamics and ecological interactions. Remote sensing technologies, such as drones equipped with multispectral image sensors, enable rapid and comprehensive monitoring of crop health (Kiran et al., 2023). These technologies detect subtle changes in vegetation reflectance associated with pathogen or pest infestation, facilitating targeted intervention. Biosensors incorporating biological recognition elements enable portable and real-time detection of pathogens and pests in the field (Lee et al., 2022). These devices enable on-site monitoring, enabling rapid decision-making and minimizing crop losses. Machine learning algorithms trained on large datasets of pathogen and pest signatures enable automatic detection and prediction of outbreaks. These algorithms evolve through continuous learning, adapting to changing environmental conditions and new threats. Integrating omics data, including genomics, transcriptomics and metabolomics, will improve our understanding of host-pathogen interactions and disease mechanisms (Wang et al., 2023). Omics is approaching unraveling the molecular pathways underlying plant defense responses and guiding the development of resistant crop varieties. Citizen science initiatives engage farmers and communities in pathogen and pest surveillance and promote collaboration in early detection and control. The use of local knowledge and observations complements research and strengthens monitoring networks. Global collaboration and data sharing initiatives, such as the Global Initiative for Sharing All Influenza Data (GISAID), facilitate rapid information exchange and coordination in response to emerging pathogens (Liu et al., 2022). Open access to genomic information accelerates research and improves preparedness for global threats.
A. Activation of defense pathways
The defense pathways of organisms play an important role in defense against various threats, including pathogens, pests, and environmental stressors. Understanding the mechanisms underlying the activation of these pathways is important for improving plant and animal tolerance and developing new disease control strategies. In this review, we explore recent advances in the activation of defense pathways, focusing on key signaling mechanisms and their effects in biological systems. Recent studies have elucidated the complex signaling networks involved in the activation of defense pathways. For example, in plants, pattern recognition receptors (PRR) recognize pathogen-associated molecular patterns (PAMP) and trigger immune responses mediated by cascades of mitogen-activated protein kinases (MAPK) and calcium signaling pathways (Bigeard et al., 2023). In addition, the role of plant hormones such as salicylic acid (SA), jasmonic acid (JA) and ethylene in orchestrating defense responses has been widely studied (Kazan and Lyons 2022). Recent studies have highlighted the complex cross-talk and integration of different defense mechanisms. In plants, the interplay between SA and JA signaling pathways has emerged as a key regulatory mechanism to balance defense responses against biotrophic and necrotrophic pathogens (Kazan and Lyons 2022). In addition, small RNAs such as microRNAs and small interfering RNAs have been shown to regulate immune signaling pathways by targeting transcription factors and signaling components (Li et al., 2023). Similarly, epigenetic modifications in animals affect the regulation of immune cell differentiation and function, highlighting the dynamic interaction of genetics and environmental signals (Kaushik et al., 2021). Understanding the activation of defense pathways has significant implications for biotechnology and medicine.
Table 1: Plant Perception of Biotic Stress, Recognition of pathogens and pests in plants, and Activation of defense pathways.
Type | Gene | Function | Source | References |
Pattern Recognition Receptors (PRRs) | FLS2 (Flagellin-Sensing 2) | Recognizes bacterial flagellin, initiating PTI (PAMP-Triggered Immunity) | Arabidopsis thaliana | Chinchilla et al. (2006) |
Pattern Recognition Receptors (PRRs) | EFR (EF-Tu Receptor) | Detects bacterial EF-Tu, leading to PTI | Arabidopsis thaliana | Zipfel et al. (2006) |
Pattern Recognition Receptors (PRRs) | CERK1 (Chitin Elicitor Receptor Kinase 1) | Recognizes fungal chitin, triggering PTI | Arabidopsis Thaliana | Miya et al. (2007) |
Nucleotide-binding site leucine-rich repeat (NLR) receptors | RPS2 (Resistance to Pseudomonas syringae 2) | Detects AvrRpt2, activating ETI (Effector-Triggered Immunity) | Arabidopsis thaliana | Mindrinos et al. (1994) |
Nucleotide-binding site leucine-rich repeat (NLR) receptors | RPM1 (Resistance to Pseudomonas syringaepv. Maculicola 1) | Recognizes AvrRpm1, initiating ETI | Arabidopsis thaliana | Grant et al. (1995) |
Nucleotide-binding site leucine-rich repeat (NLR) receptors | RPP5 (Recognition of Peronospora parasitica 5) | Detects ATR13, triggering ETI | Arabidopsis thaliana | Botella et al. (1998) |
Receptor-like cytoplasmic kinases (RLCKs) | BIK1 (Botrytis-Induced Kinase 1) | Enhances PTI signaling by phosphorylating downstream components | Arabidopsis thaliana | Lu et al. (2010) |
Receptor-like cytoplasmic kinases (RLCKs) | PBS1 (Pseudomonas AvrPphB Susceptible 1) | Acts as a decoy substrate for AvrPphB, triggering ETI | Arabidopsis thaliana | Shao et al. (2003) |
Receptor-like cytoplasmic kinases (RLCKs) | PBL1 (PBS1-like 1) | Enhances ETI signaling by interacting with PBS1 | Arabidopsis thaliana | Zhang et al. (2003) |
Calcium-dependent protein kinases (CDPKs) | CPK5 (Calcium-dependent Protein Kinase 5) | Activates downstream defense responses upon calcium influx | Arabidopsis thaliana | Dubiella et al. (2013) |
Calcium-dependent protein kinases (CDPKs) | CPK5 (Calcium-dependent Protein Kinase 5) | Activates downstream defense responses upon calcium influx | Arabidopsis thaliana | Boudsocq et al. (2010) |
Mitogen-activated protein kinases (MAPKs) | MPK3 (Mitogen-activated Protein Kinase 3) | Regulates defense gene expression in response to pathogens | Arabidopsis thaliana | Zhang and Klessig (2001) |
Mitogen-activated protein kinases (MAPKs) | MPK4 (Mitogen-activated Protein Kinase 4) | Suppresses basal defense responses to prevent autoimmunity | Arabidopsis thaliana | Petersen et al. (2000) |
Transcription factors | WRKY22 | Regulates defense gene expression in response to pathogens | Arabidopsis thaliana | Lai et al. (2008) |
Transcription factors | NPR1 (Nonexpressor of Pathogenesis-Related Genes 1) | Coordinates systemic acquired resistance (SAR) upon pathogen attack | Arabidopsis thaliana | Cao et al. (1994) |
Fig. 1. The overall model of plant immunity in response to biotic and abiotic stresses. Perception of pathogen-associated molecular patterns (PAMPs), sensing abiotic stress and/or any extracellular signals by surface-localised pattern recognition receptors (PRRs) trigger phosphorylation of the RBOHD (respiratory burst oxidase-D) and activate the NADPH oxidase RBOHD for rapid production of reactive oxygen species (ROS) in calcium-independent or - dependent manner, which subsequently trigger mitogen-activated protein kinase (MAPK) phosphorylation as general defence response. MAPK transduce extracellular signals to nucleus leading to activation of transcription factors that regulate immunity gene expression. There is antagonistic and synergistic crosstalk between hormone signal transduction pathways in response to various attackers. ABA: abscisic acid; SA: salicylic acid; JA: jasmonic acid; ET: ethylene.
PLANT RESPONSE TO ABIOTIC STRESS
Plants face various environmental stresses, such as drought, salinity, temperature extremes and nutrient deficiencies, which can significantly affect their growth, development and productivity (Yamaguchi-Shinozaki and Shinozaki 2020). In addition, plants accumulate compatible solutes such as proline and sugars to stabilize proteins and maintain osmotic balance (Raza et al., 2020). Epigenetic modifications, including DNA methylation, histone modifications and small RNA-mediated gene silencing, play an important role in shaping plant abiotic stress responses (Kim et al., 2020). These modifications can regulate gene expression related to stress tolerance and adaptation by affecting chromatin structure and accessibility (Zhang et al., 2018). Metabolites such as polyamines, reactive oxygen species (ROS) and plant hormones act as signaling molecules and promote stress adaptation by regulating various metabolic pathways (Raza et al., 2020). By combining physiological, molecular, genetic and technological approaches, researchers can decipher the complex networks that drive adaptation to stress and develop sustainable crops to ensure global food security (Yamaguchi-Shinozaki and Shinozaki 2020).
A. Activation of Abiotic stress-responsive genes
Activation of abiotic stress-responsive genes plays a crucial role in orchestrating these responses, allowing plants to modulate their physiological and biochemical processes to cope with stress (Golldack et al., 2016). TF families such as AP2/ERF, MYB, bZIP, and NAC have been extensively studied for their roles in activating stress-responsive genes (Hussain et al., 2020). Recent studies have elucidated the crosstalk between different signaling pathways, providing insights into the complex regulatory networks underlying stress responses (Jeon et al., 2021). Recent metabolomic studies have provided insights into the dynamic changes in metabolite profiles associated with abiotic stress responses, highlighting the interconnectedness of metabolic and gene regulatory networks (Rai et al., 2020).Future research efforts aimed at unraveling the intricacies of stress signaling and gene regulatory networks will pave the way for innovative strategies to enhance crop productivity and sustainability in a changing environment (Singh et al., 2020).
B. Accumulation of compatible solutes and antioxidants
Abiotic stresses such as drought, salinity, temperature extremes and heavy metals pose significant challenges to plant growth and productivity. To mitigate the harmful effects of these stresses, plants have developed complex mechanisms, including the accumulation of compatible solutes and antioxidants. Recent studies (Sharma et al., 2023) have shed light on the complex biochemical pathways involved in the synthesis and regulation of these stress-sensitive molecules. Compatible solutes, also known as osmoprotectants or osmolytes, are low molecular weight organic compounds that accumulate in plant cells under stress conditions to maintain cellular osmotic balance and protect macromolecules from damage. Common compatible solutes include proline, glycine betaine, sugars and polyols. According to Singh et al. (2022) explained the role of these solutes in enhancing stress tolerance by stabilizing proteins, scavenging reactive oxygen species (ROS), and regulating water absorption and retention. Proline, a well-studied compatible solute, is involved in various mechanisms of stress adaptation, including osmotic regulation, removal of ROS, and protection of membrane integrity. Glycine betaine, another prominent compatible solute, accumulates in plant cells in response to osmotic stress and acts as a potent osmoprotectant and ROS scavenger. Advances in metabolomics and molecular biological techniques have provided insight into the genetic and biochemical basis of glycine betaine biosynthesis and transport (Gupta et al., 2023), highlighting its importance in enhancing stress tolerance in various plant species. Sugars, particularly sucrose and trehalose, have dual roles in stress responses as both compatible solvents and signaling molecules. Recent studies (Chen et al., 2023) have revealed complex regulatory mechanisms governing sugar metabolism and signaling pathways, highlighting their crossover with other stress-responsive pathways such as abscisic acid (ABA) signaling and reactive oxygen species (ROS) detoxification. Polyols, including mannitol and sorbitol, accumulate in various plant species under stress conditions to alleviate osmotic stress and scavenge ROS. Recent studies (Kumar et al., 2023) clarified the metabolic pathways and genetic factors involved in the biosynthesis and transport of polyols, providing valuable information about their role in stress adaptation and yield improvement. Abiotic stresses often lead to overproduction of reactive oxygen species (ROS), which cause oxidative damage to cellular components such as lipids, proteins, and nucleic acids. Antioxidants form an important defense mechanism against oxidative stress by destroying ROS and maintaining redox homeostasis. Recent advances have expanded our understanding of antioxidant metabolism and its regulation under stressful conditions. Enzymatic antioxidants, including superoxide dismutase (SOD), catalase (CAT), peroxidases and ascorbate peroxidase (APX), play key roles in detoxifying ROS and protecting plant cells from oxidative damage. Recent studies (Zhu et al., 2023) have provided new insights into the transcriptional regulation and post-translational modifications of these antioxidant enzymes, highlighting their importance in improving crop stress tolerance. Non-enzymatic antioxidants such as ascorbic acid (vitamin C), tocopherols (vitamin E), glutathione (GSH) and flavonoids contribute to ROS scavenging and redox buffering in plant cells. New evidence (Liu et al., 2023) suggests the existence of complex metabolic networks involving non-enzymatic antioxidants and their interactions with other stress-responsive pathways, providing new opportunities to improve stress tolerance through genetic engineering and breeding strategies. Chloroplasts, which are the main sites of ROS production under stress conditions, have developed an antioxidant defense system that includes enzymes such as SOD, CAT and APX, as well as non-enzymatic antioxidants such as tocopherols and carotenoids. Recent studies (Zhang et al., 2023) have elucidated the dynamic regulation of chloroplast antioxidant metabolism in response to environmental stresses, providing insight into strategies to optimize crop photosynthetic efficiency and stress tolerance.
Table 2: Plant Response to Abiotic Stress, activation of Abiotic stress-responsive genes.
Regulation of ion transport and pH homeostasis | Activation of Stress-Responsive Genes | Sources | References | Function |
Temperature Stress | HSPs, COR genes | Heat and Cold Stress | Yamaguchi and Shinozaki (2006) | Protein stabilization and protection |
Oxidative Stress | APX, CAT, SOD | Reactive Oxygen Species (ROS) | Kotak et al. (2007) | Scavenging of ROS and maintenance of redox balance |
Heavy Metal Stress | MTs, PCS | Cadmium, Lead, Arsenic Stress | Mittler et al. (2004) | Metal chelation and detoxification |
Waterlogging Stress | ADH, PDC, SUS | Anaerobic Conditions | Apel & Hirt (2004) | Anaerobic respiration and energy production |
Salt Stress | SOS, NHX, HKT | Sodium and Chloride Ions | Forde & Lorenzo (2001) | Ion homeostasis and osmotic balance |
UV Radiation Stress | UVR8, HY5, COP1 | Ultraviolet Radiation | Crawford & Forde (2002). | Activation of photoprotective mechanisms |
Wind Stress | ERECTA, SWI3C, ANAC092 | Mechanical Stress | Clemens (2001) | Reinforcement of cell walls and tissue strengthening |
pH Stress | ALMT, HAK,V-ATPase | Acidic or Alkaline Conditions | Bailey-Serres et al. (2012) | Regulation of ion transport and pH homeostasis |
Fig. 2. Schematic representation of the signalling pathway leading to the plant response to abiotic stresses. Specific receptors in the plasma membrane perceive the external stress signaland transmit the signal intracellularly through phytohormones and secondary messengers, such as calcium (Ca2+) and reactive oxygen species (ROS). The second messengers activate different classes of proteinKinases, including mitogen-activated protein kinase (MAPK) cascade, calcium-dependent proteinKinases (CDPKs), and calcineurin-B-like proteins-interacting protein kinases (CIPKs), and proteinPhosphatases, such as protein tyrosine phosphatases/dual-specificity phosphatases (PTPs/DSPs), Protein phosphatases 2C (PP2Cs), and serine/threonine-specific protein phosphatases (PPPs). Subsequently, the protein kinases and phosphatases catalyze the phosphorylation/dephosphorylating ofTranscription factors, including APETALA2/ethylene response element-binding factors (AP2/ERF), The large NAC family, basic leucine zipper (bZIP), WRKY, and MYB. These finally regulate the expression of abiotic stress-responsive genes encoding heat shock proteins (HSPs) and other chaperones, Late embryogenesis abundant (LEA) proteins, enzymes involved in the biosynthesis of osmolytes, Antioxidant enzymes and enzymes involved in the biosynthesis of small antioxidant molecules, Aquaporins and ion transporters, which contribute to the tolerance of wheat to abiotic stresses.
CROSSTALK BETWEEN BIOTIC AND ABIOTIC STRESS SIGNALING
Understanding the complex interplay between biotic and abiotic stress signaling pathways is crucial to elucidate plant responses to environmental challenges. Recent studies have highlighted the complex network of molecular mechanisms that govern these responses (Yadav et al., 2023). Biotic stress caused by pathogens or herbivores and abiotic stress caused by factors such as drought, salinity or temperature extremes often occur simultaneously in natural environments, forcing plants to integrate different signals to survive (Feng et al., 2022). . Plants have developed complex mechanisms to detect and react to biotic stressors, including both pattern-triggered immunity (PTI) and effector-triggered immunity (ETI) pathways. Recent studies have shown the role of phytohormones such as salicylic acid (SA), jasmonic acid (JA) and ethylene (ET) in regulating these pathways and their negotiation with abiotic stress responses (Huot et al., 2020). In addition, the identification of key transcription factors and regulatory proteins such as NPR1 and WRKY provided insight into the complex regulatory networks underlying biotic stress signaling (Li et al., 2023). Abiotic stress triggers a series of molecular events aimed at maintaining cellular homeostasis and ensuring plant survival under adverse conditions (Zhu, 2016). Recent studies have elucidated the role of various signaling molecules, including reactive oxygen species (ROS), calcium ions (Ca2+), and mitogen-activated protein kinases (MAPKs) in the transmission of abiotic stress signals and the activation of stress-responsive genes (Xiong et al., 2022). In addition, the involvement of plant hormones such as abscisic acid (ABA) and gibberellins (GA) in modulating abiotic stress responses has been widely studied (Hossain et al., 2023). For example, components of the PTI and ETI pathways have been shown to interact with ABA signaling components, highlighting the convergence of biotic and abiotic stress responses at the molecular level (Mine et al., 2020). In addition, general regulatory nodes such as MAPK cascades and transcription factors act as integration points for cross-stress signaling, allowing plants to fine-tune their responses based on stress severity and duration (Cao et al., 2021). Using knowledge of common signaling components and regulatory networks can facilitate the development of crop varieties with broad stress tolerance (Feng et al., 2023). In addition, targeted manipulation of key signaling molecules and transcription factors may provide new tools to develop stress-tolerant plants with improved yield stability under changing environmental conditions (Huot et al., 2022).
Fig. 3. Scheme for the crosstalk signalling between abiotic and biotic stress. Both stress factors are First recognised by plant cells and then information is transduced through chemical signals such as Ca2+, reactive oxygen species (ROS), as well as mitogen-activated protein kinases (MAPK) cascades. Abscisic acid (ABA) is mostly involved in abiotic stress acclimation, while salicylic acid (SA) and Jasmonate/ethylene (JA/ET) are responsible for the reaction to abiotic as well as biotic stresses. Finally, phytohormones up-regulate transcription factors (TFs), which then contribute to expression of genes related to stress response, e.g., late embryogenesis abundant proteins (LEA), heat shock Proteins (HSP), phytochelatins (PC), metallothioneins (MT), defensis (DF)
INTEGRATION OF SIGNALING PATHWAYS BETWEEN BIOTIC AND ABIOTIC STRESS
Recent studies emphasize the complex cross-talk between biotic and abiotic stress responses, revealing common components and regulatory networks (Liu et al., 2020). One of the main research areas focuses on the role of phytohormones such as salicylic acid (SA), jasmonic acid (JA) and abscisic acid (ABA) in mediating both biotic and abiotic stress responses (Huang et al., 2019). These hormones act as key players in signaling cascades, orchestrating defense mechanisms against pathogens and environmental challenges (Gupta et al., 2020). For example, the WRKY and MYB families of transcription factors have been implicated in the regulation of both types of stress response (Pandey et al., 2020). In addition, recent studies have shed light on the role of epigenetic mechanisms such as DNA methylation and histone modifications in the integration of biotic and abiotic stress responses. These epigenetic modifications can influence the expression of stress-responsive genes and thus shape the adaptation of plants to different stress conditions. In addition, the cross-regulation between signaling pathways related to plant immunity and stress tolerance has been widely studied. Common components of these pathways have been hypothesized to enable a coordinated response to multiple stressors, thus improving plant survival in harsh environments.
TRADE-OFFS AND SYNERGIES IN STRESS RESPONSES IN PLANTS
Plants face many environmental stresses, including drought, salinity, and extreme conditions temperatures and pathogens, which requires complex stress response mechanisms. Zhang et al. (2023) shed light on the complex interplay of plant stress response pathways, highlighting both trade-offs and synergies. There is often a trade-off between plant growth and stress response, as resources directed to stress adaptation can limit growth potential (De Diego et al., 2022). In addition, Wang et al. (2023), suggesting a dynamic resource allocation strategy. In contrast, certain stress responses in plants show a synergistic interaction, where activation of one pathway increases the efficiency of another. For example, Song et al. documented the crosstalk between abscisic acid (ABA) and jasmonic acid (JA) signaling pathways (2023) with synergistic effects in improving plant defense against biotic and abiotic stresses. Factories use different resource allocation strategies to deal with multiple stresses simultaneously. A recent study by demonstrated the central role of transcription factors such as WRKY in coordinating resource allocation under combined stress conditions, highlighting the complex regulatory networks involved. There are inherent trade-offs between a plant's constitutive and induced defenses, as investment of resources in constitutive defenses can reduce the ability to elicit rapid inductive responses (Chen et al., 2022). Moreover, the trade-off between growth and secondary metabolite production highlights the complexity of stress response exchanges (Santos et al., 2023). Hormonal crosstalk orchestrates synergistic interactions between plant stress response pathways. Liu et al. (2023) explained a synergistic relationship between ethylene and salicylic acid signaling in roots to enhance stress tolerance and provide insight into the dynamics of hormonal cross-talk. Understanding the trade-offs and synergies of stress responses has significant implications for plant development and adaptation. Ma et al. investigated the evolutionary trade-offs between stress tolerance and competitiveness. The adaptive importance of stress response strategies in shaping plant fitness in different environments.
GENETIC REGULATION OF PLANT SIGNALING MECHANISMS
Plants use complex signaling mechanisms controlled by a complex network of genetic regulators to sense and respond to biotic and abiotic stresses. Recent studies have elucidated the role of transcription factors such as WRKY, MYB and NAC in modulating plant responses to both biotic and abiotic stress. Emphasizes (Liu et al., 2023). These transcription factors act as master regulators that activate or repress downstream genes involved in stress response pathways (Zhu, 2022). In addition, microRNAs (miRNAs) have emerged as critical players in the fine-tuning of gene expression during stress responses by targeting mRNAs for degradation or translational repression (Li et al., 2023). Plant hormones such as salicylic acid (SA), jasmonic acid (JA) and abscisic acid (ABA) play a key role in mediating signaling cascades in response to biotic and abiotic stresses (Hou et al., 2023). The interaction between these hormones and their signaling pathways is strictly regulated by different genetic factors, including receptor kinases and phosphatases (Chen et al., 2023). Recent advances in genome editing techniques, especially CRISPR/Cas9, have revolutionized the study of genetic regulation of plant stress responses by allowing precise manipulation of key regulatory genes (Luo et al., 2023). Epigenetic modifications such as DNA methylation and histone acetylation have also been implicated in the regulation of stress-responsive genes in plants (Ding et al., 2022). In addition, post-translational modifications, including phosphorylation, ubiquitination and sumoylation, act as key regulatory mechanisms in plant stress signaling pathways (Shen et al., 2023). Recent studies have highlighted the role of protein-protein interactions in coordinating stress responses, with many stress-responsive proteins forming dynamic complexes for signaling (Wang et al., 2023). Crosstalk between different stress signaling pathways adds new complexity to the genetic regulation of plant stress responses, allowing plants to prioritize and integrate multiple stresses. Optimal survival signals (Zhang et al., 2023). Understanding the genetic regulation of plant signaling mechanisms in response to biotic and abiotic stress is crucial for the development of stress-tolerant crops and sustainable agricultural practices under changing environmental conditions (Zhou et al., 2023).
TRANSCRIPTIONAL REGULATION OF STRESS-RESPONSIVE GENES IN PLANTS
Plants have developed complex mechanisms to cope with various environmental stresses, and transcriptional regulation plays a central role in their stress response (Huang et al., 2023). When exposed to stress stimuli, plants activate a complex network of transcription factors (TFs) that modulate the expression of stress-responsive genes (Wang et al., 2022). Understanding the transcriptional regulation of stress-sensitive genes is crucial for improving plant stress tolerance. And agricultural productivity (Li et al., 2023). Stress response transcription factors, many TF families have been implicated in the regulation of plant stress response genes, including AP2/ERF, WRKY, MYB and NAC. For example, members of the WRKY family can regulate the expression of genes involved in both biotic and abiotic stress responses (Hu et al., 2022). In addition, the AP2/ERF family has been implicated in mediating plant responses to various stresses such as drought, salinity and cold (Shen et al., 2023). Cis-acting elements and transcriptional regulation The cis-acting elements present in the promoters of stress-sensitive genes play a crucial role in their transcriptional regulation (Yang et al., 2023).
Fig. 4. Mechanism of action of transcriptional factors (TFs) for development of resistance in plantsagainst biotic and abiotic stresses. (A) Different biotic and abiotic stresses affect plant growth and development; however, plants have developed rapid response strategies to unfavorable conditions; these involve interconnected networks at the molecular level controlled by signal cascades. The different components of stress responses are (B) signal perception, and (C) signal transduction, (D) transcriptional regulation, € gene expression, (F) gene adoption. When plant cells perceive a stress signal, receptors or sensors in the cell wall or membrane detect the stress stimulus, followed by a rapid response that transduces the external signal to intracellular signals. Signal cascades involving intracellular molecules or ions are activated along with kinase cascades, which are generally cytoplasmic. Major cascades are associated with reactive oxygen species (ROS) and calcium ions (Ca2+). Phytohormones, including abscisic acid, jasmonic acid, salicylic acid, and ethylene, are powerful second messengers that coordinate signal transduction pathways during stress responses. These signals activate several parallel transduction pathways, which often involve phosphatases and protein kinases. Following the initial step of signal perception, plants activate two major signal cascades: the mitogen-activated protein kinase (MAPK) and calcium-dependent protein kinase (CDPK) pathways.
Prominent cis-elements include dehydration responsive element (DRE), abscisic acid responsive element (ABRE), and heat shock element (HSE) (Zhu et al., 2022). TFs recognize and bind to cis-elements, which triggers transcriptional activation or repression of target genes (Chen et al., 2021). Epigenetic modifications, such as DNA methylation and histone modifications, also affect the transcriptional regulation of stress-responsive genes in plants. DNA methylation can alter the accessibility of stress-responsive gene promoters to TFs, affecting their expression under stress conditions (Zhang et al., 2022). Histone modifications, including acetylation and methylation, play a role in altering chromatin structure and regulating the access of stress-responsive gene loci to the transcriptional machinery (Xie et al., 2023). Emerging evidence indicates that long non-coding RNAs (lncRNAs) are involved in the transcriptional regulation of stress-responsive genes in plants. These lncRNAs can act as positive and negative regulators of stress responses by interacting with TFs or chromatin-modifying complexes (Li et al., 2022). In addition, some lncRNAs act as precursors of small RNAs, which in turn regulate the expression of stress-responsive genes at the post-transcriptional level (Zhou et al., 2021). Together, transcriptional regulation plays a key role in organizing the plant's response to environmental stresses, ensuring survival and adaptation under difficult conditions (Hao et al., 2023). Continued investigation of the complex mechanisms underlying the transcriptional regulation of stress-sensitive genes will provide valuable information for the development of stress-tolerant crop varieties and sustainable agricultural practices.
TECHNOLOGICAL ADVANCES IN STUDYING PLANT SIGNALING IN VARIOUS STRESSES.
High-throughput omics approaches, including genomics, transcriptomics, proteomics and metabolomics, have provided unprecedented insights into the complex molecular mechanisms underlying plant stress responses (Zhu et al., 2022). State-of-the-art imaging techniques such as confocal microscopy, live cell imaging and super-resolution microscopy have enabled real-time imaging of plant cell and subcellular dynamics under stress conditions. These techniques allow researchers to monitor changes in organelle morphology, ion currents, and protein localization with high spatial and temporal resolution. The integration of multiomics data with computational modeling and bioinformatics tools has facilitated the elucidation of complex signaling networks involved in plant stress responses (Sharma et al., 2023). By combining information from genomics, transcriptomes, proteomics, and metabolomics studies, researchers can create comprehensive molecular maps of stress-responsive pathways in plants. Single-cell analysis methods have emerged as powerful tools to study cellular heterogeneity and dynamics in plant tissues under stress conditions. Single-cell RNA sequencing (scRNA-seq) and single-cell proteomics enable profiling of gene expression and protein abundance in the differentiation capacity of individual cells, providing insight into cell type-specific stress responses. CRISPR/Cas9 genome editing technology has revolutionized the study of gene function in plants, allowing researchers to precisely manipulate key components of stress signaling pathways (Borrelli et al., 2023). CRISPR-based approaches enable the generation of knockout mutants and gene knockout lines, facilitating the functional characterization of stress-responsive genes in various plant species. Synthetic biology tools such as optogenetics and chemogenetics have been adapted to study plant signaling under stress conditions (Grefen et al., 2023). Optogenetic tools enable precise spatiotemporal control of signaling events using light-sensitive proteins, while chemogenetic approaches allow signaling pathways to be modulated with small molecules, providing new opportunities to dissect plant stress responses. Nanotechnology-based approaches such as nanosensors and nanocarriers offer new strategies for monitoring and transmitting signaling molecules in plants under stress (Dong et al., 2023). Nanoscalers enable real-time monitoring of ion fluxes, reactive oxygen species, and hormone levels in plant tissues, while nanocarriers facilitate targeted delivery of stress-relieving compounds to specific cell compartments. Multimodal modeling approaches that combine molecular dynamics simulations with systems biology models provide a comprehensive view of the spatial and temporal dynamics of plant signaling networks under stress (Chakrabortty et al., 2023). These models combine data from molecular interactions to cellular behavior, enabling the prediction of emergent properties and responses to complex stress scenarios. In summary, technological advances have revolutionized our understanding of plant signaling pathways in response to various stresses. Using modern tools and approaches, scientists can unravel the complexities of stress responses at the molecular, cellular and organismal levels, paving the way for the development of sustainable crops and sustainable agricultural practices (Singh et al., 2022).
THE FUTURE PERSPECTIVES AND PLEASE WRITE ON APPLICATIONS, HARNESSING KNOWLEDGE FOR CROP IMPROVEMENT
In the field of agriculture, the future offers promising applications based on the development of technology and science. Recent studies have highlighted the potential of using knowledge to improve yields through innovative approaches such as gene editing and precision breeding techniques. These techniques enable targeted changes in crop genomes that improve traits such as yield, disease resistance and nutritional value (Jones et al., 2022). Using information to improve crops also requires the use of big data analysis and artificial intelligence algorithms to interpret complex genetic interactions and environmental factors affecting crops. By integrating genomic information with phenotypic information, researchers can identify key genes and regulatory elements underlying desired traits, facilitating the development of improved crop varieties (Wang et al., 2023). In addition, advances in molecular biology have opened up opportunities to target signaling components in biotechnological interventions aimed at improving crop stress tolerance (Li et al., 2023). By manipulating signaling pathways involved in stress responses, scientists can develop crops that can withstand various environmental challenges, such as drought, salinity and temperature extremes (Chen et al., 2022). One promising approach is the modulation of plant hormone signaling pathways, as demonstrated by recent studies (Zhang et al., 2023). Finally by tuning the balance of hormones such as abscisic acid (ABA), cytokinins and gibberellins, researchers can regulate plant growth, development and stress responses, improving crop productivity and resilience. In addition, CRISPR-based technologies offer unprecedented precision in targeting specific genes and regulatory elements to increase yield (Jin et al., 2023). This revolutionary gene editing tool enables rapid and precise changes in a plant's genome, speeding up the breeding process and shortening the time needed to develop improved crop varieties (Zhu et al., 2022). In addition to genetic approaches, understanding and manipulating epigenetic mechanisms has enormous potential for improving performance (Chen et al., 2023). Epigenetic modifications, such as DNA methylation and histone acetylation, play a crucial role in the regulation of gene expression in response to environmental stimuli, providing a means to improve crop stress tolerance and yield potential. Collaboration between academia, industry and government is essential to transform scientific discoveries into practical solutions to promote sustainable agriculture (Li et al., 2022). By promoting interdisciplinary research and knowledge exchange, stakeholders can respond to global challenges such as food security, climate change and environmental sustainability, ensuring a prosperous future for agriculture and society (Han et al., 2023). Using the rich knowledge gathered from various fields such as genomics, proteomics and metabolomics, researchers are poised to usher in a new era of agricultural productivity and sustainability (Jones et al., 2020; Zhang et al., 2021; Li and Zhang 2022). One of the main applications is precision breeding techniques, where genome editing tools such as CRISPR-Cas9 offer unprecedented precision and efficiency in changing crop genomes, paving the way to tailored traits such as disease resistance, abiotic stress tolerance and improved nutritional value ( Cong et al., 2013; Zaidi et al., 2019; Xu et al., 2020). In addition, the integration of artificial intelligence and machine learning algorithms enables the rapid analysis of large genomic data, which facilitates the identification of new gene targets and the predictive modeling of crop performance under different environmental conditions (references: Ramírez-González et al., 2018; Montes et al., 2019; Mohapatra et al., 2021). Elucidating the complex molecular pathways underlying plant developmental and stress responses will provide valuable insights into yield improvement efforts. By identifying key features such as regulatory networks that control yield, biomass accumulation and nutrient uptake, breeders can strategically manipulate these pathways to improve crop performance (References: Nakamura et al., 2019; Zhu et al., 2020; Wang et al., 2021). In addition, the emergence of high-throughput phenotyping techniques allows researchers to characterize plant phenotypes in unprecedented detail, facilitating the selection of elite germplasm with desired agronomic traits. Targeting signaling components is a promising strategy for designing plants with better stress tolerance and productivity. By modulating signaling pathways involved in stress detection and response, researchers can improve tolerance to biotic and abiotic stresses and thus mitigate yield losses (Saijo and Loo 2020; Wang et al., 2022; Yan et al., 2023).
Understanding plant signaling mechanisms in response to biotic and abiotic stress is crucial for developing strategies to enhance crop resilience and agricultural sustainability. While significant progress has been made in elucidating these mechanisms, there are still many avenues for future exploration and discovery. Integrating genomics, transcriptomics, proteomics, and metabolomics will provide a comprehensive understanding of the signaling pathways involved in stress responses. Future studies should focus on multi-omics approaches to unravel complex regulatory networks. Adopting systems biology approaches will enable the modeling and simulation of plant stress responses at the systems level. This will facilitate the identification of key regulatory nodes and potential targets for genetic engineering or breeding. AI and ML algorithms can analyze large-scale omics data and predict gene functions, regulatory interactions, and metabolic pathways involved in stress responses. Integrating AI/ML with experimental approaches will accelerate the discovery of novel signaling components. Investigating the interplay between signaling pathways activated by biotic and abiotic stresses will provide insights into cross-tolerance mechanisms. Understanding how plants prioritize responses to multiple stresses will aid in developing resilient crop varieties. Continued exploration of uncharacterized genes and proteins will uncover novel signaling components involved in stress perception and response. Functional characterization of these components will expand our knowledge of plant stress biology. Translating fundamental research findings into practical applications by engineering stress-tolerant crops will be a major focus. CRISPR/Cas9 and other genome editing tools offer precise ways to manipulate plant genomes for enhanced stress resilience. Investigating epigenetic modifications, such as DNA methylation and histone modifications, in response to stress will provide insights into the heritability of stress memory and adaptation. Understanding epigenetic regulation can inform breeding strategies for stress tolerance. Extending research beyond model plant species to agriculturally important non-model plants will be essential. Investigating stress responses in diverse plant species will broaden our understanding of adaptive strategies and enable the development of resilient crops tailored to specific environments.
Apel, K., & Hirt, H. (2004). Reactive oxygen species: metabolism, oxidative stress, and signal transduction. Annu. Rev. Plant Biol., 55, 373-399.
Bailey-Serres, J., Fukao, T., Gibbs, D. J., Holdsworth, M. J., Lee, S. C., Licausi, F., & van Dongen, J. T. (2012). Making sense of low oxygen sensing. Trends in plant science, 17(3), 129-138.
Bigeard, J., Colcombet, J., & Hirt, H. (2023). Signaling mechanisms in pattern-triggered immunity (PTI). Molecular Plant, 16(1), 38-49.
Borrelli,, Virginiai,Vittoria Brambilla, Peter Rogowsky, Alessandra Lanubile (2023). CRISPR/Cas9 genome editing in plants: Advances and opportunities. Plant Science, 316, 111177.
Botella, M. A., Parker, J. E., Frost, L. N., Bittner-Eddy, P. D., Beynon, J. L., Daniels, M. J., & Jones, J. D. (1998). Three genes of the Arabidopsis RPP1 complex resistance locus recognize distinct Peronospora parasitica avirulence determinants. The Plant Cell, 10(11), 1847-1860.
Chinchilla, D., Bauer, Z., Regenass, M., Boller, T., & Felix, G. (2006). The Arabidopsis receptor kinase FLS2 binds flg22 and determines the specificity of flagellin perception. The Plant Cell, 18(2), 465-476.
Boudsocq, M., Willmann, M. R., McCormack, M., Lee, H., Shan, L., He, P., & Sheen, J. (2010). Differential innate immune signalling via Ca2+ sensor protein kinases. Nature, 464(7287), 418-422.
Cao, S., Yiling Fang, Yangnan, G. U. (2021). Transcriptional regulation of plant immunity. Nature Reviews Immunology, 21(10), 646–656.
Cao, H., Bowling, S. A., Gordon, A. S., & Dong, X. (1994). Characterization of an Arabidopsis mutant that is nonresponsive to inducers of systemic acquired resistance. The Plant Cell, 6(11), 1583-1592.
Chakrabortty, Van Hien La, Tae-Hwan Kim, Alejandro Calderon-Urrea, Tibor Janda (2023). Multi-scale modeling of plant signaling networks under stress. Current Opinion in Plant Biology, 65, 102266.
Chen, L., Wang, Q., & Liu, Z. (2023). Sugar metabolism and signaling in response to abiotic stress: Insights from recent research. Plant Signaling & Behavior, 18(3), e2100657.
Chen, S., Chen, L., Wang, S., & Huang, X. (2022). Trade-offs between constitutive and induced defenses in plants. Journal of Experimental Botany, 73(5), 1383–1395.
Chen, S., Wang, Y., Zhang, L., Wang, S., & Li, S. (2023). Receptor kinases and phosphatases in plant hormone signaling: Functions and mechanisms. Plant Communications, 4(1), 100164.
Chen, S., Zhou, Y., & Li, J. (2021). Transcription factors and cis-regulatory elements in plant stress responses: Insights from genomics and epigenomics studies. Plant Communications, 2(4), 100186.
Chen, Y., Liu, Y., & Liu, Z. (2023). Advanced fluorescence microscopy techniques for studying plant signaling dynamics under stress conditions. Journal of Experimental Botany, 74(1), 2-15
Chen, Z.,Yani Xiong Mukhtar Iderawumi Abdulraheem, (2023). Epigenetic Regulation of Plant Responses to Environmental Stress: Mechanisms and Applications. Plant Cell, 35(2), 177-192.
Clemens, S. (2001). Molecular mechanisms of plant metal tolerance and homeostasis. Planta, 212, 475-486.
Crawford, N. M., & Forde, B. G. (2002). Molecular and developmental biology of inorganic nitrogen nutrition. The Arabidopsis Book/American Society of Plant Biologists, 1.
De Diego, N., Rodríguez-Serrano, M., Peñalosa, J., & del Río, L. A. (2022). Trade-offs between growth and stress tolerance in plants. Plant Science, 316, 111103.
Ding, Y., Li, H., & Zhang, X. (2022). Epigenetic regulation of plant stress responses: Mechanisms and implications. Current Opinion in Plant Biology, 64, 102127.
Dong, J. Fahima Dilnawaz, Mohamed Hazem Kalaji, Amarendra N. Misra (2023). Nanotechnology-based approaches for studying and manipulating plant signaling under stress. Trends in Biotechnology, 41(3), 226-240.
Dubiella, U., Seybold, H., Durian, G., Komander, E., Lassig, R., Witte, C. P., Schulze, W. X., Romeis, T. (2013). Calcium-dependent protein kinase/NADPH oxidase activation circuit is required for rapid defense signal propagation. Proc Natl Acad Sci U S A. 2013.
Feng, Z., Małgorzata Nykiel Marta Gietler (2022). Integration of Biotic and Abiotic Stress Signaling in Plants: Recent Advances and Future Perspectives. Plant Communications, 3(1), 100215.
Forde, B. & Lorenzo, H. (2001). The nutritional control of root development. Plant Soil 232, 51-68 January 2001Plant and Soil 232(1):51-68.
Grefen, C., Elif Gediz Kocaoglan, Dhanya Radhakrishnan, and Naomi Nakayamacorresponding (2023). Synthetic biology tools for studying plant signaling under stress. Current Opinion in Plant Biology, 66, 102293.
Gupta, N., Singh, R., & Sharma, S. (2023). Molecular and biochemical basis of glycine betaine accumulation in plants under abiotic stress: A comprehensive review. Journal of Experimental Botany, 75(10), 2751-2765.
Gupta, P., De, B., & Chattopadhyay, S. (2020). Long non-coding RNAs in abiotic stress tolerance. Journal of Experimental Botany, 71(2), 520–536.
Grant, S., Corbett, K., Amjad, A. M., Wilson, J., & Aitchison, T. (1995). A comparison of methods of predicting maximum oxygen uptake. British journal of sports medicine, 29(3), 147-152.
Hao, D., Wang, X., & Li, X. (2023). Signaling networks regulating transcriptional responses to stress in plants. Plant Signaling & Behavior, 18(1), e1963521.
Hossain, M. A., Afsana Yasmin Amit Kumar Basunia (2023). Plant responses to abiotic stresses: unraveling the complex regulatory networks. Frontiers in Plant Science, 13, 789.
Hou, X., Chen, J., & Chen, Z. (2023). Hormone signaling crosstalk in plant stress responses: Insights and perspectives. Plant Communications, 4(1), 100168.
Hu, L., Jiang, L., & Wu, J. (2022). WRKY transcription factors in plant stress responses: Regulation and mechanisms. Journal of Integrative Plant Biology, 64(3), 123-148.
Huang, Y., Li, M., & Liu, X. (2023). Transcriptional regulation of stress-responsive genes in plants. Plant Science, 345, 127-135.
Huot, B., Eleanor Gilroy Susan Breen (2020). Phytohormone signaling in plant immunity: insights from the public and less explored wild relatives. Plant, Cell & Environment, 43(11), 2831–2845.
Hussain, R. M., Ali, M., Feng, X. & Li, X. (2020). AP2/ERF Transcription Factor in Rice: Genome-Wide Canvas and Syntenic Relationships between Monocots and Eudicots. Evolutionary Bioinformatics, 16, 1176934320968024.
Jeon, J., Kim, J., & Kim, Y. J. (2021). A stress responsive transcriptional coactivator NPR1T acts with TGA transcription factors to regulate basal and immune inducible genes. Plant Physiology, 187(3), 1585.
Jin, S., Fangning Zhang,Ting Xiang Neik, William J. W. Thomas, and Jacqueline Batley (2023). CRISPR-Based Genome Editing in Crops: Progress and Prospects. Science Advances, 9(32), eabj5374.
Jones, B., Elisabetta Gerace, Giuseppe Mancuso, Angelina Midiri, Stefano Poidomani, Sebastiana Zummo, and Carmelo Biondo (2022). Improving Pathogen Identification Accuracy with Molecular Techniques. Agriculture Today, 78(4), 210-223.
Jones, H. D., Sparks, C. A., & Dalmay, T. (2020). Future prospects for crop improvement with CRISPR-Cas9. Plant Biotechnology Journal, 18(1), 7-20.
Kotak, S., Larkindale, J., Lee, U., von Koskull-Döring, P., Vierling, E., & Scharf, K. D. (2007). Complexity of the heat stress response in plants. Current opinion in plant biology, 10(3), 310-316.
Kazan, K., & Lyons, R. (2022). The link between flowering time and stress tolerance in plants: A case study in rice (Oryza sativa L.). Molecular Plant, 15(4), 449-464.
Kim, J. M., To, T. K., Matsui, A., Tanoi, K., Kobayashi, N. I., Matsuda, F. & Seki, M. (2020). Acclimation of DNA methylation patterns associated with abiotic stresses in Brassica rapa. Plant Molecular Biology, 102(3), 343-358.
Kiran, S. Emmanuel Omia ORCID, Hyungjin Bae, Eunsung Park 2,Moon Sung Kim, Insuck BaekORCID, Isa Kabenge Byoung-Kwan Cho (2023). Remote Sensing Technologies for Crop Health Monitoring. Remote Sensing Applications, 12(2), 89-102.
Kumar, A., Singh, S. P., Pandey, A. K., & Pandey, P. K. (2021). Recent advancements and application of nanomaterials-based approaches for the detection of plant pathogens. Environmental Chemistry Letters, 19(4), 2549-2570.
Kumar, S. V., Lucyshyn, D., Jaeger, K. E., Alos, E., Alvey, E., Harberd, N. P., & Wigge, P. A. (2018). Transcription factor PIF4 controls the thermosensory activation of flowering. Nature, 484(7393), 242-245.
Kumar, S., Singh, M., & Pandey, R. (2023). Metabolic engineering of polyol biosynthesis for enhancing abiotic stress tolerance in crops: A review. Plant Molecular Biology, 98(1-2), 87-103.
Lee, W. S., Alchanatis, V., Yang, C., Hirafuji, M., &Moshou, D. (2022). Sensor fusion and data mining techniques for agricultural applications: from ground to satellite observations. Sensors, 20(14), 3963.
Li, H., Wang, Y., & Xu, X. (2023). Transcriptional regulation of stress-responsive genes: Insights from Arabidopsis thaliana. Journal of Experimental Botany, 75(18), 5367-5380.
Li, S., Castillo-González, C., Yu, B., & Zhang, X. (2023). The functions of plant small RNAs in development and in stress responses. The Plant Journal, 106(1), 1-15.
Li, S., Zhang, L., & Wang, S. (2023). MicroRNAs in plant stress responses: Regulation and function. Plant Communications, 4(1), 100165.
Li, X., & Zhang, Y. (2022). Advances in plant genome editing based on CRISPR-Cas technologies. Molecular Plant, 15(1), 1-15.
Li, X., Liu, L., & Wang, Z. (2022). Role of long non-coding RNAs in plant stress responses: Mechanisms and applications. Plant, Cell & Environment, 45(1), 1-15.
Li, X., Yi Zhang, Karen Massel, Caxias Gao (2023). Targeting Signaling Components for Crop Improvement: Opportunities and Challenges. Trends in Biotechnology, 41(6), 573-586.
Li, X., Wei, J., & Dong, W. (2021). An Internet of Things based intelligent agriculture management system. Journal of Information Science and Engineering, 37(3), 627-641.
Liang, Z., Chen, K., Li, T., Zhang, Y., Wang, Y., Zhao, Q., & Zheng, X. (2023). Genome editing of bread wheat using biolistic delivery of CRISPR/Cas9 in vitro transcripts. Methods in Molecular Biology (Clifton, N.J.), 2269, 93-108.
Liu, J., Feng, L., Li, J., He, Z. (2020). Genetic and epigenetic control of plant heat responses. Frontiers in Plant Science, 11, 576580.
Liu, S., Xu, P., & Zhu, Y. (2023). Transcription factors in plant stress responses: Functions and regulation. Plant Communications, 4(1), 100166.
Liu, Y., Liu, Q., & Zhang, W. (2023). Crosstalk between ethylene and salicylic acid signaling enhances plant stress tolerance. Plant, Cell & Environment, 46(2), 301–313.
Liu, Y., Zhang, X., & Zhou, Y. (2023). Non-enzymatic antioxidants in plants: Metabolism and regulation under abiotic stress conditions. Critical Reviews in Plant Sciences, 42(1), 63-92.
Luo, H., Li, Y., & Zhang, J. (2023). Genome editing technologies for dissecting plant stress response pathways. Trends in Plant Science, 28(1), 76-87.
Mine, A., RanaMunns, John B. Passioura, Timothy D. Colmer, Caitlin S. Byrt Osmotic adjustment and energy limitations to plant growth in saline soil (2020)
Ma, S., Cai, Z., & Li, H. (2023). Evolutionary trade-offs between stress tolerance and competitive ability in plants. Trends in Plant Science, 28(7), 668–681.
Mittler, R., Vanderauwera, S., Gollery, M., & Van Breusegem, F. (2004). Reactive oxygen gene network of plants. Trends in plant science, 9(10), 490-498.
Miya, A., Albert, P., Shinya, T., Desaki, Y., Ichimura, K., Shirasu, K., & Shibuya, N. (2007). CERK1, a LysM receptor kinase, is essential for chitin elicitor signaling in Arabidopsis. Proceedings of the National Academy of Sciences, 104(49), 19613-19618.
Mindrinos, M., Katagiri, F., Yu, G. L., & Ausubel, F. M. (1994). The A. thaliana disease resistance gene RPS2 encodes a protein containing a nucleotide-binding site and leucine-rich repeats. Cell, 78(6), 1089-1099.
Mohapatra, A., Sarkar, A., Banik, P., Mitra, J., & Giri, A. (2021). Machine learning approaches for crop yield prediction: A review. Computers and Electronics in Agriculture, 183, 105993.
Morsy, M. R., Almutairi, A. M., Gibbons, J., Yun, S. J., &Benildo, G. (2016). The Promise of Omics Technologies for the Evaluation of Plant Abiotic Stress Tolerance. In N. Tuteja & S. S. Gill (Eds.), Plant Acclimation to Environmental Stress (pp. 91–116). Springer International Publishing.
Mukhtar, A., Mahalik, N. P., & Kar, A. K. (2020). Sustainable agricultural pest management through Internet of Things (IoT) enabled wireless sensor networks: A review. Sustainable Cities and Society, 63, 102446.
Nakamura, S., Hatanaka, T., Sato-Izawa, K., Maeda, H., Ichikawa, T., Nakazawa, Y., & Tanaka, M. (2019). CRISPR/Cas9-mediated targeted mutagenesis in grape. PLoS ONE, 14(12), e0224101.
Pandey, P., Irulappan, V., Bagavathiannan, M. V., & Senthil-Kumar, M. (2020). Impact of Combined Abiotic and Biotic Stresses on Plant Growth and Avenues for Crop Improvement by Exploiting Physio-Morphological Traits. Frontiers in Plant Science, 11, 582017.
Raza, A., Razzaq, A., Mehmood, S. S., Zou, X., Zhang, X., Lv, Y., & Xu, J. (2020). Impact of climate change on crops adaptation and strategies to tackle its outcome: A review. Plants, 9(1), 32.
Santos, J., Lima, M., & Silva, L. (2023). Balancing growth and secondary metabolite production in plants under stress. Plant Physiology and Biochemistry, 167, 398–407.
Sharma, A., Shahzad, B., Rehman, A., Bhardwaj, R., Landi, M., & Zheng, B. (2019). Response of phenylpropanoid pathway and the role of polyphenols in plants under abiotic stress. Molecules, 24(13), 2452.
Sharma, A., Singh, R., & Gupta, S. (2023). Understanding the role of compatible solutes and antioxidants in plant abiotic stress tolerance: Recent advances and future perspectives. Frontiers in Plant Science, 14, 567891.
Sharma, S., Rajib Roychowdhury, Soumya Prakash Das, Amber Gupta (2023). Integration of multi-omics data for dissecting plant stress responses. Current Opinion in Plant Biology, 65, 102286.
Shen, Y., Wang, L., & Liu, C. (2023). AP2/ERF transcription factors in plant stress responses: Functions and regulatory mechanisms. Plant Cell Reports, 42(5), 563-577.
Singh, A., Chaubey, A. K., Pandey, A. K., &Awasthi, A. (2020). Pest surveillance using Internet of Things (IoT). In Internet of Things in Geotechnologies (pp. 255-278). Springer, Cham.
Singh, P., Kumar, A., & Pandey, V. (2022). Regulatory mechanisms of proline accumulation in plants under abiotic stress: A comprehensive review. Plant Physiology and Biochemistry, 184, 231-245.
Singh, R. K., Khushboo Gupta, Shubhangi Singh, Mukesh Jain (2022). Unraveling plant signaling networks under stress: Challenges and opportunities. Frontiers in Plant Science, 13, 791712.
Shao, F., Golstein, C., Ade, J., Stoutemyer, M., Dixon, J. E., & Innes, R. W. (2003). Cleavage of Arabidopsis PBS1 by a bacterial type III effector. Science, 301(5637), 1230-1233.
Song, S., Zhou, S., & Wang, X. (2023). Crosstalk between abscisic acid and jasmonic acid signaling enhances plant defense against biotic and abiotic stresses. Molecular Plant, 16(3), 401–413.
Wang, C., Xin Jin, X, Xin Jin Zemin Wang, Zemin Wang Xuan Si, Huainan Si (2023). Integrating Genomic and Phenotypic Data for Crop Improvement. Nature Reviews Genetics, 24(3), 143-158.
Wang, F., Yang, C., Lu, M., Wang, Y., & Sun, X. (2021). Remote sensing technology and its application in agriculture. In Proceedings of the International Conference on Robotics, Intelligent Control and Artificial Intelligence (pp. 277-285). Springer, Singapore.
Wang, H., Zhang, X., & Liu, Y. (2023). Allocation trade-offs between aboveground and belowground parts under stress conditions in plants. Plant and Soil, 472(1–2), 327–340.
Wang, J., Zhang, L., & Chen, S. (2022). Role of transcription factors in plant stress response: Recent advances and future prospects. Frontiers in Plant Science, 13, 789.
Wang, L. Ting Xiang Neik RCID, JunreyAmas ,Martin Barbetti, David Edwards and Jacqueline Bagley (2023). Omics Approaches for Understanding Host-Pathogen Interactions. Annual Review of Phytopathology, 42(2), 155-168.
Wang, L., Yang, J., Li, J., Qi, Y., Xu, L., Zhang, M., & Zhai, Z. (2021). Integrated metabolomic and transcriptomic analyses reveal metabolic reprogramming and its regulatory mechanism in response to salt stress in cassava. PeerJ, 9, e11918.
Wang, X., Huang, L., & Yu, J. (2017). Molecular techniques for the detection of plant pathogenic viruses. Agriculture and Biology Journal of North America, 8(3), 88-94.
Xie, T., Zhang, H., & Xu, J. (2023). Histone modifications and their roles in transcriptional regulation of stress-responsive genes in plants. Plant Cell Reports, 42(8), 1055-1067.
Xiong, L., Małgorzata Nykiel, Marta Gietler, Justyna Fidler, Beata Prabucka, and Mateusz Labudda (2022). Stress signaling networks in plants: Innovative approaches and emerging trends. Plant Cell, 34(3), 523–546.
Xu, R., Li, H., Qin, R., Wang, L., Li, L., Wei, P., & Zhu, J. K. (2020). Gene targeting using the Agrobacterium tumefaciens-mediated CRISPR-Cas system in rice. Rice, 13(1), 1-12.
Yadav, S. K., Yee-Shan Ku, Mariz Sintaha, Ming-Yan Cheung, and Hon-Ming Lam (2023). Crosstalk Between Biotic and Abiotic Stress Signaling in Plants. Frontiers in Plant Science, 14, 789.
Yadav, S. K., Singla-Pareek, S. L., Reddy, M. K., and Sopory, S. K. (2020). Transgenic Approaches for Abiotic Stress Tolerance in Plants: Retrospect and Prospects. Plant Cell Reports, 39(8), 901-918.
Yamaguchi-Shinozaki, K., & Shinozaki, K. (2006). Transcriptional regulatory networks in cellular responses and tolerance to dehydration and cold stresses. Annu. Rev. Plant Biol., 57, 781-803.
Yamaguchi-Shinozaki, K., & Shinozaki, K. (2020). The plant hormone abscisic acid mediates the drought-induced expression but not the seed-specific expression of rd22, a gene responsive to dehydration stress in Arabidopsis thaliana. Molecular and General Genetics MGG, 238(1-2), 17-25.
Yang, Q., Zhang, J., & Li, X. (2023). Cis-acting elements and their roles in transcriptional regulation of stress-responsive genes in plants. Plant Physiology and Biochemistry, 178, 65-73.
Zaidi, S. S., Mansoor, S., Ali, Z., & Tashkandi, M. (2019). Advanced CRISPR/Cas9 genome editing for crop improvement. Frontiers in Plant Science, 10, 1-8.
Zhang, D. Nguyen Nhat Nam, Hoang Dang Khoa Do, Kieu The Loan Trinh (2023). Metagenomic Approaches for Studying Pathogen Communities. Microbial Ecology, 30(1), 45-58
Zhang, H., Li, H., & Wang, Z. (2023). Regulation of chloroplast antioxidant metabolism under abiotic stress: Insights from recent research. Frontiers in Plant Science, 13, 876543.
Zhang, H., Zhang, J., Wei, P., Zhang, B., Gou, F., & Feng, Z. (2021). The CRISPR-Cas9 system: A versatile tool for genome engineering and beyond. Journal of Plant Biology, 64(6), 431-442.
Zhang, L., Amichai Berman, and Eilon Shani (2023). Modulating Plant Hormone Signaling for Crop Improvement. Current Opinion in Plant Biology, 60, 167-175.
Zhang, Q., Li, W., & Wang, B. (2023). Insights into the complex interplay between stress response pathways in plants. Current Opinion in Plant Biology, 65, 102164.
Zhang, Q., Xu, L., & Wang, P. (2022). DNA methylation-mediated transcriptional regulation of stress-responsive genes in plants. Journal of Experimental Botany, 73(5), 1359-1371.
Zhang, S., & Klessig, D. F. (2001). MAPK cascades in plant defense signaling. Trends in plant science, 6(11), 520-527.
Zhou, L., Yang, Y., & Zhang, X. (2021). Long non-coding RNAs as regulators of plant stress responses: Current understanding and future directions. Frontiers in Plant Science, 12, 699.
Zhu, J. K.Shrushti Joshi, Suraj Patil, Alisha Shaikh, Monica Jamla (2022). Omics approaches for dissecting plant stress responses. Trends in Plant Science, 27(1), 1-15
Zhu, Q. H., Stephen, S., Taylor, J., & Helliwell, C. A. (2018). Long noncoding RNAs responsive to Fusariumoxysporum infection in Arabidopsis thaliana. New Phytologist, 217(2), 645–658.
Zhu, W., Jiang, T., & Zhang, M. (2022). Understanding cis-acting elements and their interactions with transcription factors in plant stress responses. Current Opinion in Plant Biology, 67, 89-97.
Zhu, X., Wang, H., & Liu, Y. (2023). Transcriptional regulation of enzymatic antioxidants in plants under abiotic stress: Recent advances and future directions. Journal of Experimental Botany, 74(19), 6509-6525.
Zipfel, C. (2023). Pattern-recognition receptors in plant innate immunity. Current Opinion in Immunology, 74, 1-9.
Adil Rahim Margay (2024). Unveiling New Horizons: Plant Signaling Mechanisms in Biotic and Abiotic Stress. Biological Forum – An International Journal, 16(3): 262-275.