Drought Stress Research Articles

Physiological and Transcriptomic Characterization of Rice Genotypes under Drought Stress

Drought is a primary abiotic stress that inhibits rice (Oryza sativa L.) growth and development, and during the reproductive stage it has a negative impact on the rice seed-setting rate. This research study examined two rice lines, La-96 (drought sensitive) and La-163 (drought resistant), for drought stress treatment (with soil moisture at 20% for 7 days) and control (normal irrigation and kept soil moisture ≥40%). To elucidate the photosynthesis and molecular mechanisms underlying drought tolerance in rice, leaf photosynthetic traits and transcriptome sequencing were used to compare differences between two contrasting recombinant inbred lines (RIL) during drought and subsequent recovery at the booting stage. The rice line La-96 showed a significant decrease in seed-setting rate after being treated for seven days’ drought stress (from 86.64% to 22.75%), while La-163 was slightly affected (from 89.04% to 79.33%). The photosynthetic activities of both lines significantly decreased under the drought treatment, and these traits of La-163 recovered to a comparable level with the control after three days of rewatering. The transcriptome of both lines in three treatments (the control, drought stress, and subsequent recovery) were tested, and a total of 16,051 genes were identified, among which 10,566 genes were differentially expressed in various treatments and rice lines. Comprehensive gene expression profiles revealed that the specifically identified DEGs were involved in the ribosome synthesis and the metabolic pathway of photosynthesis, starch, and sucrose metabolism. The DEGs that are activated and respond quickly, as seen during recovery in the tolerant rice line, may play essential roles in regulating subsequent growth and development. This study uncovered the molecular genetic pathways of drought tolerance and extended our understanding of the drought tolerance mechanisms and subsequent recovery regulation in rice.

Transcriptome and Metabolome Analyses Reveal the Molecular Mechanisms of Albizia odoratissima’s Response to Drought Stress

Albizia odoratissima is a deciduous tree species belonging to the family Leguminosae. It is widely distributed in the southern subtropical and tropical areas of China and has important ecological and economic value. The growth and metabolic processes of A. odoratissima are affected by drought stress, but the molecular mechanisms remain unknown. Therefore, this study investigated the physicochemical properties, gene expression, and metabolites of A. odoratissima seedlings under drought stress. The results show that, in leaves of A. odoratissima seedlings, drought stress reduced the moisture content, chlorophyll content, photosynthetic efficiency, superoxide dismutase (SOD) activity, and gibberellin (GA) and indoleacetic acid (IAA) contents while increasing the catalase (CAT) and peroxidase (POD) activities and malondialdehyde (MDA), proline, soluble sugar, and soluble protein contents. Within the CK5 (Day 5 of control group) vs. T5 (Day 5 of drought treatment), CK10 vs. T10, CK15 vs. T15, and CK20 vs. T20 groups (CK: control group; T: drought treatment), a total of 676 differentially expressed genes (DEGs) were upregulated and 518 DEGs were downregulated, and a total of 228 and 143 differential accumulation metabolites (DAMs) were identified in the CK10 vs. T10 and CK20 vs. T20 groups. These were mainly involved in the amino acid and alkaloid metabolism pathways in the leaves of the A. odoratissima seedlings. In the amino acid and alkaloid biosynthesis pathways, the relative expression levels of the AoproA (Aod04G002740, ORTHODONTIC APPLIANCE), AoOAT (Aod07G015970, ORNITHINE-OXO-ACID TRANSAMINASE), and AoAOC3 (Aod12G005010/08G003360/05G023920/08G003000/08G003010, AMINE OXIDASE COPPER CONTAINING 3) genes increased, which concurrently promoted the accumulation of arginine, proline, piperine, cadaverine, and lysine. Furthermore, some key transcription factors in the response to drought were identified in the leaves using the weighted gene co-expression network analyses (WGCNA) method. These findings reveal that A. odoratissima seedlings respond to drought stress by improving the capacities of the antioxidant system and secondary metabolism.

Hyperspectral Prediction Models of Chlorophyll Content in Paulownia Leaves under Drought Stress

This study explored the quantitative inversion of the chlorophyll content in Paulownia seedling leaves under drought stress and analyzed the factors influencing the chlorophyll content from multiple perspectives to obtain the optimal model. Paulownia seedlings were selected as the experimental materials for the potted water control experiments. Four drought stress treatments were set up to obtain four types of Paulownia seedlings: one pair of top leaves (T1), two pairs of leaves (T2), three pairs of leaves (T3), and four pairs of leaves (T4). In total, 23 spectral transformations were selected, and the following four methods were adopted to construct the prediction model, select the best spectral preprocessing method, and explore the influence of water bands: partial least squares modeling with all spectral bands (all-band partial least squares, AB-PLS), principal component analysis partial least squares (PCA-PLS), correlation analysis partial least squares (CA-PLS), correlation analysis (water band) partial least squares, ([CA(W)-PLS]), and vegetation index modeling. Based on the prediction accuracy and the uniformity of different leaf positions, the optimal model was systematically explored. The results of the analysis of spectral reflectance showed significant differences at different leaf positions. The sensitive bands of chlorophyll were located near 550 nm, whereas the sensitive bands of water were located near 1440 and 1920 nm. The results of the vegetation index models indicate that the multiple-index models outperformed the single-index models. Accuracy decreased as the number of indicators decreased. We found that different model construction methods matched different optimal spectral preprocessing methods. First derivative spectra (R′) was the best preprocessing method for the AB-PLS, PCA-PLS, and CA-PLS models, whereas the inverse log spectra (log(1/R)) was the best preprocessing method for the CA(W)-PLS model. Among the 14 indices, the green normalized difference vegetation index (GNDVI) was most correlated with the chlorophyll content sensitivity indices, and the water index (WI) was most correlated with the water sensitive indices. At the same time, the water band affected the cross validation accuracy. When characteristic bands were used for modeling, the cross validation accuracy was significantly increased. In contrast, when vegetation indices were used for modeling, the accuracy of the cross validation increased slightly but its predictive ability was reduced; thus, these changes could be ignored. We found that leaf position also affected the prediction accuracy, with the first pair of top leaves exhibiting the worst predictive ability. This was a bottleneck that limited predictive capability. Finally, we found that the CA(W)-PLS model was optimal. The model was based on 23 spectral transformations, four PLS construction methods, water bands, and different leaf positions to ensure systematicity, stability, and applicability.

In silico analysis and functional validation of sinf-yc genes in foxtail millet setaria italica (l.)

Nuclear transcription factor YCs (NF-YCs) are universally involved in plant development and abiotic stress response. As a typical C4 crop, foxtail millet has significant research value for studies of functional genes and mechanisms of plant stress resistance. To further investigate the correlation between the structure and function of the SiNF-YC genes in foxtail millet (Setaria italica), bioinformatic analysis of the SiNF-YCs on the subcellular localization, physicochemical properties, and cis acting elements were performed in this study. The results showed that a total of 12 SiNF-YC subfamily genes that distributed on chromosomes 1-9 were identified from the foxtail millet genome, which encoding 129-469 amino acids. The subcellular localization prediction results showed that the proteins encoded by this gene subfamily are mainly located in the nucleus, with a few being extracellular secreted. The multiple cis-elements related to drought resistance and light response are contained in the gene promoter region. Through haplotype analysis on the phenotypes of drought treated and heading dates that from five different regions, obvious haplotypes were identified except for SiNF-YC8 and SiNF-YC14. At last, drought regulation related gene SiNF-YC5 and heading date regulation related gene SiNF-YC10 were selected to explore superior gene haplotypes, laying a foundation for further exploring the functional genes involved in drought resistance and development within this gene family. Bangladesh j. Bot. 53(3): 535-543, 2024 (September)

Evolution, Gene Duplication, and Expression Pattern Analysis of CrRLK1L Gene Family in Zea mays (L.)

Catharanthus roseus receptor-like kinase 1-like (CrRLK1L) plays pivotal roles in regulating plant growth and development, mediating intercellular signal transduction, and modulating responses to environmental stresses. However, a comprehensive genome-wide identification and analysis of the CrRLK1L gene family in maize remains elusive. In this study, a total of 24 CrRLK1L genes were identified in the maize whole genome. A phylogenetic analysis further revealed that CrRLK1L proteins from Arabidopsis, rice, and maize were grouped into nine distinct subgroups, with subgroup IV being unique to maize. Gene structure analysis demonstrated that the number of introns varied greatly among ZmCrRLK1L genes. Notably, the genome-wide duplication (WGD) events promoted the expansion of the ZmCrRLK1L gene family. Compared with Arabidopsis, there were more collinear gene pairs between maize and rice. Tissue expression patterns indicated that ZmCrRLK1L genes are widely expressed in various tissues, with ZmCrRLK1L5/9 specifically highly expressed in roots, and ZmCrRLK1L8/14/16/21/22 expressed in anthers. Additionally, RNA-seq and RT-qPCR analyses revealed that the expression of ZmCrRLK1L1/2/20/22 genes exhibited different expression patterns under drought and salt stresses. In summary, our study lays a foundation for elucidating the biological roles of ZmCrRLK1L genes in maize growth and development, reproductive development, and stress responses.

Genome-Wide Identification of Rubber Tree SCAMP Genes and Functional Characterization of HbSCAMP3

Natural rubber produced by the rubber tree is a vital industrial raw material globally. Seven SCAMP gene family members were identified in the rubber tree, and the phylogenetic tree classified HbSCAMPs into three subfamilies. Significant differences were observed among HbSCAMPs in terms of gene length, number of exons, and composition of conserved motifs. The expansion of HbSCAMPs in the rubber tree genome is associated with segmental duplications. The high expression of HbSCAMP1–6 in petioles and HbSCAMP7 in stem tips, along with their distinct responses to drought, salt, and wound stresses, indicates their crucial roles in substance transport and stress adaptation. Transgenic poplar experiments demonstrated that overexpression of HbSCAMP3 significantly promotes plant height growth, with localization in the tobacco plasma membrane, suggesting its involvement in regulating plant growth through membrane transport processes. These findings enhance the understanding of HbSCAMPs in rubber trees and provide new insights into how plants finely tune gene family members to adapt to environmental changes.

Study of co-localization of QTL for drought tolerance of morphological traits in teosinte introgressed maize population

Study of co-localization of QTL for drought tolerance of morphological traits in teosinte introgressed maize population

Eco-Physiological and Genetic Basis of Drought Response Index in Rice—Integration Using a Temperate Japonica Mapping Population

The drought response index (DRI) is an indicator of drought tolerance after adjustment for variation in flowering date and potential yield under well-watered conditions. Using a temperate japonica mapping population of 97 recombinant inbred lines from a cross between Otomemochi (OTM) and Yumenohatamochi (YHM), we evaluated DRI during the reproductive stage under very severe drought in one year and under severe drought in the next year. DRI under very severe drought (−6.4 to 15.9) and severe drought (−3.9 to 8.3) positively correlated with grain dry weight under drought. Three QTLs for DRI were identified: RM3703–RM6911–RM6379 and RM6733–RM3850 both on chromosome 2 in both years combined; and RM8120–RM2615–RM7023 on chromosome 6 in the second year. The latter collocated with putative genes for signaling and defense mechanisms (e.g., PIN1B, BZIP46) revealed by database analysis. Top DRI lines retained root dry weight and had bigger steles. QTL-by-environment interaction had a greater relative contribution than the main effects of QTLs. Comparison with three previous studies revealed that the QTLs for DRI were unique to each experiment and/or population; most of them closely colocalized with reported drought-yield QTLs.

Characterization of a Drought-Induced Betaine Aldehyde Dehydrogenase Gene SgBADH from Suaeda glauca

Betaine aldehyde dehydrogenases (BADHs) are key enzymes in the biosynthesis of glycine betaine, which is an important organic osmolyte that maintains cell structure and improves plant tolerance to abiotic stresses, especially in halotolerant plants. Improving the drought tolerance of crops will greatly increase their yield. In this study, a novel BADH gene named SgBADH from Suaeda glauca was induced by drought stress or abscisic acid. To explore the biological function of SgBADH, the SgBADH gene was transformed into Arabidopsis. Then, we found SgBADH-overexpressing Arabidopsis seedlings showed enhanced tolerance to drought stress. SgBADH transgenic Arabidopsis seedlings also had longer roots compared with controls under drought stress, while SgBADH-overexpressing Arabidopsis exhibited increased glycine betaine accumulation and decreased malondialdehyde (MDA) under drought stress. Our results suggest that SgBADH might be a positive regulator in plants during the response to drought.

TiO2 NPs as a Promising Strategy for Crop Conservation Resulting from Deficit Irrigation in Fragaria × ananassa Cv. Camarosa

ABSTRACT Nanoparticle-based methods can compensate for yield and quality loss of crops affected by drought. The current study, performed in a factorial experiment based on a completely randomized design, addressed to evaluate the effect of titanium dioxide nanoparticles (TiO2 NPs) at 0, 10, 20, and 30 mg L−1 under three irrigation regimes (full irrigation, partial root drying (PRD), and sustained deficit irrigation (SDI)) on Fragaria × ananassa cv. Camarosa. Results revealed that the PRD stress had more adverse effects on F. ananassa cv. Camarosa than SDI stress. Assessment of the behavior of TiO2 NPs in this study elucidated that mean productivity, yield stability index, and fruit number in plants grown under full irrigation increased when treated with 10 mg L−1 TiO2 NPs. Under the deficit irrigation, including PRD and SDI, all levels of TiO2 NPs mitigated mean productivity and yield stability index by ameliorating the fruit number and water use efficiency (WUE) and decreasing transpiration. Flowering and fruit set times were reduced by TiO2 NPs and deficit irrigation while their periods were enhanced by ones. It seems that when the strawberry was exposed to TiO2 NPs exhibited approximately drought tolerance. These nanoparticles ameliorated photosynthesis and mineral uptake and allocated dry matter to the root. These alterations can contribute to crop production in deficit irrigation strategies.

Drought and heat stress interactions modify photorespiration and hydrogen peroxide content in Silver fir.

Photorespiration (PR) greatly reduces net carbon assimilation in trees (by c. 25%), but has received recent attention particular for its potential role in stress-signaling through the accumulation of hydrogen peroxide (H2O2), a stress signaling agent. Despite an increasing frequency of drought and heat events affecting forests worldwide, little is known about how concurrent abiotic stressors may interact to affect PR and subsequent H2O2 accumulation in trees. Here, we sought to identify how drought and a compounded one-day heat treatment individually and interactively affect PR (determined under variable O2) in Abies alba Mill. seedlings. Additionally, we quantified foliar H2O2 accumulation and enzymatic scavenging via peroxidase in relation to PR rates. We found drought stress to slightly increase PR (+5.2%) during mild-drought (12 days, Ψmd = -0.85 MPa), but ultimately to decrease PR (-13.6%) during severe-drought (26 days, Ψmd = -1.70 MPa) compared to the control, corresponding to increasing non-stomatal limitations of photosynthesis (i.e., decreased electron transport rate). The response of PR to heat stress was dependent on soil water availability as heat stress increased PR in control seedlings (+37.8%), but not in drought-stressed seedlings. Decreased PR during severe-drought corresponded to ~2x lower foliar H2O2 compared to the control. Despite increased PR under heat stress in control seedlings, foliar H2O2 decreased to near-zero likely due to enhanced scavenging as observed in ~2x greater peroxidase activity. Our results demonstrate that carbon loss to PR during drought stress can be highly dynamic, depending on the severity of soil dehydration. Additionally, increased PR under abiotic stress does not necessarily lead to accumulated H2O2, as tight regulation by scavenging enzymes instead minimize oxidative stress, reducing stress-signaling potential.

Overexpression of TdNACB improves the drought resistance of rice

Drought stress greatly affects disrupts the productivity, ecological structure, physiological and biochemical activities of wheat at different growth stages. However, drought stress tolerance is a complex quantitative trait and involves multiple metabolic pathways. We found that a wild emmer introgression line BAd7-209 had stronger drought resistance compared with drought resistant wheat Zhongmai 175. The transcriptome analysis found 14,284, 22,383 and 21,451 genes had expression corresponding responsed to drought stress at 24h, 48h, 120h, respectively and significantly enriched in ‘Arginine and proline metabolism’ and ‘Peroxisome’ in BAd7-209. 1666 transcription factors (TFs) related responsed to drought stress in which TdNACB showed high expression at 24h, 48h and 120h and had the closest relationship with TaNAC48 and OsNAC6 in phylogenetic analysis. Overexpression of TdNACB significantly enhanced drought resistance in rice and overexpression lines had significantly higher CAT, POD and SOD activity, Pro content and lower MDA content than those of the WT under drought stress. The result demonstrated that TdNACB positively regulates drought resistance through increasing proline content and enhancing activity of enzyme related to ROS scavenging. The results of this study provides candidate genes for improving wheat drought resistance and guide as reference for studying the molecular mechanisms of wheat drought resistance.

Transcription factor gene TaWRKY76 confers plants improved drought and salt tolerance through modulating stress defensive-associated processes in Triticum aestivum L.

WRKY transcription factor (TF) family acts as essential regulators in plant growth and abiotic stress responses. This study reported the function of TaWRKY76, a member of WRKY TF family in Triticum aestivum L., in regulating plant osmotic stress tolerance. TaWRKY76 transcripts were significantly upregulated upon drought and salt signaling, with dose extent- and stress temporal-dependent manners. Plant GUS activity assays suggested that stress responsive cis-acting elements, such as DRE and ABRE, exert essential roles in defining gene transcription under osmotic stress conditions. The TaWRKY76 protein targeted onto nucleus and possessed ability interacting with TaMYC2, a MYC TF member of wheat. TaWRKY76 and TaMYC2 positively regulated plant drought and salt adaptation by modulating osmotic stress-related physiological indices, including osmolyte contents, stomata movement, root morphology, and reactive oxygen species (ROS) homeostasis. Yeast one-hybrid assay indicated the binding ability of TaWRKY76 with promoters of TaDREB1;1, TaNCEB3, and TaCOR15;4. ChIP-PCR analysis confirmed that the osmotic stress genes are transcriptionally regulated by TaWRKY76. Moreover, the transgenic lines with knockdown of these stress-response genes displayed lowered plant biomass together with worsened root growth traits, decreased proline contents, and elevated ROS amounts. These results suggested that these stress defensive genes contributed to TaWRKY76-modulated osmotic stress tolerance. Highly positive correlations were observed between yield and the transcripts of TaWRKY76 in a wheat variety panel under field drought condition. A major haplotype TaWRKY76 Hap1 conferred improved drought tolerance. Our results suggested that TaWRKY76 is essential in plant drought and salt adaptation and a valuable target for molecular breeding stress-tolerant cultivars in Triticum aestivum L..

Mapping critical soil moisture thresholds of water stress for global grasslands

The critical soil moisture threshold (SMth) of plant water stress distinguishes whether vegetation is in an energy-limited or water-limited regime. Accurate quantification of SMth for grasslands holds significant implications for drought monitoring and efficient grassland management. However, our understanding of SMth within global grasslands remains limited. In this study, we investigated the relationship between SMth and environmental factors and mapped the global SMth for grasslands based on the estimated SMth across FLUXNET sites. Firstly, SMth was identified and estimated for 18 distinct grassland sites. Then, the factors significantly affecting SMth were investigated and the global SMth for grasslands was predicted using an empirical linear model. Our results showed that SMth was significantly positively correlated with mean annual soil moisture (SM), mean annual precipitation (PRE), and maximum annual LAI (LAImax), while negatively correlated with vapor pressure deficit (VPD) and shortwave radiation (RAD). These factors collectively constrain SMth well, with the coefficient of determination of 0.79. The estimated mean SMth for global grasslands from 2000 to 2021 is 27.8%, with a range from 1.3% to 55.2%. The SMth values are lower in the northern hemisphere than that in the southern hemisphere. The highest values of SMth, exceeding 40.0%, are mainly distributed in Brazil, Peru, Southern Europe, New Zealand and the Tibetan Plateau. In contrast, the lowest values, failing below 20.0%, are mainly distributed in Northern Canada, Greenland, Central African Savannah and Kazakhstan. The SMth is markedly lower in the arid region than that in the tropical and temperate regions. The quantified SMth in this study could provide a direct way to determine whether and to what extent grasslands are subjected to water stress, which would greatly facilitate the study of drought or water stress effects on vegetation growth for grassland ecosystems.

Assessing of sugar beet Seed adaptation under salt and drought stress conditions with coating technology based on Fuzzy inference system

Sustainability in crop production is highly dependent on favorable indicators of germination and seedling establishment. In this research seed coating different treatments data prepared and membership function defined in fuzzy inference system then used rule editor tool for determining parameters weight for achieved the best coating treatment in salinity and drought stress conditions. Seed coating formulations were investigated in laboratory and greenhouse experiments for their potential to increase maximum germination, germination rate, germination uniformity, and seedling growth of sugar beet seeds. Sugar beet seeds were coated with different compounds and combinations, including micro- (Fe, Zn, Cu, Mn, Co, Mo) and macro- (N, P, K) nutrients, humic acid, gibberellic acid, kaolin, and chitosan. Coated and non-coated sugar beet seeds were evaluated for germination and seedling growth after 10 and 21 days, respectively. In total, 30 different treatments were used to assess the effects of seed coating treatments. In laboratory experiments, sugar beet seeds were placed on paper in Petri dishes and maintained in a germinator at 25 °C. Sodium chloride and polyethylene glycol 8000 were used to apply salinity and drought stresses at three levels each and achieve the results of seed coatings on reducing the effects of salinity and drought stresses. To determine the indices related to emergence and establishment, cultivation trays were utilized with four replications for each treatment. The trays were kept inside a greenhouse. Coating treatments significantly improved total germination percentage, germination rate, seedling growth, and uniformity compared with the non-treated controls. In all treatments, polyvinylpyrrolidone was utilized as a binder. The best treatment with respect to germination and seedling growth indices was number 21 (micro and macronutrients, humic acid, gibberellic acid) in salinity and drought stress conditions. The results by fuzzy inference system illustrated that micronutrients, humic acid, and gibberellic acid create the best seed coating for sugar beet seeds, especially when combined at the specified amounts.

Molecular and Physiological Responses of Toona ciliata to Simulated Drought Stress

Molecular and Physiological Responses of Toona ciliata to Simulated Drought Stress

Screening and Identification of Target Gene of StTCP7 Transcription Factor in Potato

TCP transcription factors are involved in the regulation of plant growth and development and response to stress. Previous studies showed that StTCP7 was involved in the abiotic stress response of potato and positively regulated plant tolerance to drought stress. On the basis of previous studies, this study verified the downstream target genes of StTCP7 transcription factor binding through yeast one hybridization, double luciferase and other technologies, and conducted a preliminary analysis of the downstream target genes. The results showed that the StTCP7 transcription factor could bind the promoter region of StDAM5 and StGOLS2 and regulate the expression of their genes. qRT-PCR analysis showed that the expression level of StDAM5 gene was the highest in flower stalk tissue and the lowest in leaf stalk. The expression of StGOLS2 gene was the highest in stem, the second in stalk, and the lower in root. Both StDAM5 and StGOLS2 genes responded to abiotic stress treated with 200 mM NaCl, 20% PEG-6000 and 100 µM ABA. The expression levels of target genes StDAM5 and StGOLS2 were up-regulated in StTCP7 interfered plants. The protein encoded by the target gene StDAM5 belongs to the Type II MADS-box protein, which contains 238 amino acids and is an acidic hydrophilic protein. The analysis of StDAM5 promoter region showed that the promoter region of StDAM5 gene contained cis-acting elements such as light response and abscisic acid. Subcellular localization showed that StDAM5 protein was expressed in both nucleus and cytoplasm.

Responses of Zea mays L. cultivars under drought stress at reproductive stage

Responses of Zea mays L. cultivars under drought stress at reproductive stage

Genome-wide analysis of the CCT gene family and functional characterization of SlCCT6 in response to drought stress in tomato

CCT transcription factors are important for photoperiod and abiotic stress regulation in Arabidopsis and rice. However, the CCT gene family has not been reported in tomato. Here, we systematically analyzed this. Thirty-one SlCCT genes were identified and divided into five groups (CMF, TIFY, PRR, S8, and COL), with members unevenly distributed across 12 chromosomes and the third chromosome exhibiting the most distribution. SlCCT was found to interact with an interacting protein (SlGI), transcription factor (MYB), and non-coding RNA (sly-miR156-5p) to jointly regulate the tomato stress response. cis-Acting element analysis of the SlCCT promoter region indicated large stress- and hormone-response elements in this family. Real-time PCR results indicated that SlPRR subfamily genes respond to various abiotic stresses and hormones. Tissue expression analysis revealed that several PRR subfamily genes are highly expressed in flowers, and subcellular localization analysis indicated an SlCCT6 nuclear location. Notably, SlCCT6 expression was significantly induced by drought, and its silencing reduced drought stress tolerance. Moreover, SlCCT6 overexpression enhanced tomato drought resistance by increasing antioxidant enzyme activity and activating stress-related genes, whereas SlCCT6 knockout decreased drought resistance. In conclusion, this provides valuable insights for future research on SlCCT functions.

Strigolactone enhances tea plant adaptation to drought and Phyllosticta theicola petch by regulating caffeine content via CsbHLH80

Strigolactones (SLs) play crucial roles in both plant growth and stress responses. However, their impact on the secondary metabolites of woody plants remains elusive. Here, we found that exogenous strigolactone analogue GR24 positively regulates tea plant flavor secondary metabolites, concurrently inhibiting caffeine biosynthesis and promoting the accumulation of caffeine catabolic pathway products. In this process, SL directly or indirectly inhibits the expression of CsSAMSs by inducing CsbHLH80, thereby reducing caffeine biosynthesis. Furthermore, CsbHLH80 enhances caffeine degradation, leading to increased allantoin. Under normal conditions, heightened allantoin reduces abscisic acid (ABA) accumulation. This inhibition reverses under drought stress. Increased ABA significantly enhances tea plant tolerance to both drought and Phyllosticta theicola Petch. In summary, this study offers novel insights for improving tea plant adaptation and quality in arid regions, particularly emphasizing the selection of stress-tolerant varieties and the refinement of production measures with a focus on high-quality production and environmentally friendly biological control methods.