Search Results (264)

Alternating brackish–freshwater irrigation is a promising strategy for improving the utilization of marginal water resources in arid cotton (Gossypium hirsutum L.) production; however, its effectiveness is often limited by salt-induced physicochemical stresses, including sodium-induced soil structural degradation, osmotic stress, and reduced rhizosphere biological activity. This study investigated whether the combined application of microbial inoculant and polyacrylamide (PAM) could enhance root-zone functioning and plant performance under alternating brackish–freshwater irrigation. A controlled greenhouse pot experiment was conducted with five treatments, including conventional irrigation (CI), alternating irrigation (AI), AI combined with microbial inoculant (AI + B), AI combined with PAM (AI + PAM), and AI combined with microbial inoculant and PAM (AI + B + PAM). Soil water–salt conditions, physical properties, nutrient availability, microbial activity, root growth, and plant nutrient uptake were determined, and partial least squares path modeling (PLS-PM) was used to evaluate soil–root–plant interactions. Alternating irrigation reduced soil salinity and sodium accumulation compared with conventional irrigation, with electrical conductivity of the 1:5 soil–water extract (EC_1:5), Na⁺, and sodium adsorption ratio (SAR) decreasing by 14.68%, 16.21%, and 14.27%, respectively; under AI conditions, PAM increased water-stable aggregates by 22.54%, while microbial inoculant increased microbial biomass carbon by 33.47%. The combined AI + B + PAM treatment produced the greatest improvement in plant performance, increasing biomass, N uptake, P uptake, and K uptake by 28.79%, 47.37%, 48.00%, and 60.80%, respectively, compared with AI alone. PLS-PM supported a hypothesized pathway in which PAM-associated physical conditioning and microbial inoculant-mediated biochemical activation converged on root development, which was positively linked to nutrient acquisition and plant growth. These findings indicate that integrating microbial inoculant with PAM has potential to enhance root-zone resilience and cotton growth under alternating brackish–freshwater irrigation conditions, providing insights for the development of amendment strategies in saline soils. Further field validation is required before broader agricultural application. Full article

Film-mulched drip irrigation (FMDI) is used increasingly for cotton (Gossypium hirsutum L.) production in arid regions. However, salts often accumulate in the soil, eventually leading to soil salinization and crop failure when using FMDI with brackish water inappropriately. Evaluation of the leaching requirement (LR) for cotton under FMDI with brackish water that comprehensively considers cotton yield, water saving, soil conditions, and economic benefits needs to be investigated more completely. The present study compared the cotton growth for different leaching fractions (LF) under FMDI with brackish water and provides comprehensive analysis of LR for cotton and its relationships with soil conditions. A higher LF was related to a lower cotton yield when the LF was larger than 0.15. Moreover, a larger LF led to a lower ratio of reproductive growth and irrigation water productivity when the LF was larger than 0.2. A high soil water content (SWC) strip was observed in the 40–60 cm soil layers for all scenarios. Moreover, a higher SWC proportion in the deeper soil layers as for LF_0.15 or LF_0.2 may also be beneficial to cotton growth. Soil salinity decreased with decreases in irrigation water quantity when the LF was lower than 0.2, but increased when the LF was higher than 0.2. Either too much or too little irrigation water was not beneficial from an economic perspective. Our study indicated that the LR values between 0.05 and 0.15 were recommended for FMDI when the total dissolved solids for brackish water is within 1.61–3.21 g L⁻¹. Integrated strategies, including optimized irrigation-fertilizer management, groundwater depth monitoring, and halophyte intercropping, are required to sustain production while mitigating secondary salinization and groundwater pollution under FMDI with brackish water. Full article

Cotton is recognized as the primary source of essential natural fibers for the global textile industry, supporting its sustainability and development. However, adverse environmental conditions such as drought severely constrain cotton production; thus, developing stress-tolerant cultivars via molecular breeding is essential for maintaining yield stability. Here, a comprehensive functional dissection was conducted on GhGA2ox15, a gibberellin 2-oxidase gene derived from Gossypium hirsutum L. This gene encodes a key catabolic enzyme implicated in the deactivation of endogenous bioactive GAs and the modulation of stress adaptation. We characterized GhGA2ox15, a GA2ox gene from upland cotton that modulates endogenous bioactive GA levels and abiotic stress tolerance. Bioinformatics and sequence analyses confirmed that GhGA2ox15 is a canonical C₂₀-GA2ox subfamily member, with conserved DIOX_N and 2OG-FeII_Oxy domains and marked similarity to orthologs in Arabidopsis and rice. Tobacco subcellular localization assays indicated that GhGA2ox15 resides in both the nucleus and the cytoplasm. In transgenic Arabidopsis and Oryza sativa lines, GhGA2ox15 overexpression was shown to increase drought tolerance, while virus-induced gene silencing (VIGS) of GhGA2ox15 yielded significantly compromised drought resistance. Physiological assays linked GhGA2ox15 silencing to impaired reactive oxygen species (ROS) detoxification. The suppressed lines displayed markedly lower antioxidant enzyme activities, concomitant ROS accumulation in leaves, and attenuated transcription of drought-responsive marker genes. Our findings delineate the mechanistic role of GhGA2ox15 in drought adaptation and highlight its potential utility in breeding drought-tolerant cotton. Full article

In this study, we performed the first genome-wide identification and characterization of the cinnamoyl-CoA reductase (CCR) gene family in upland cotton (Gossypium hirsutum), focusing on its potential association with stem strength. We identified 76 GhCCR genes and classified them into four subfamilies. We then analyzed their evolutionary relationships, conserved domains, synteny, promoter cis-elements, and expression patterns. All GhCCR proteins possess the NADB_Rossmann superfamily domain, and family expansion appears to have been driven mainly by segmental and tandem duplications. A small number of GhCCR genes showed relatively high expression in leaf, pistil, and torus tissues, while genes such as GhCCR3/9/10 exhibited elevated transcript levels under abiotic stress conditions. RT-qPCR results indicated that three candidate GhCCR genes (GhCCR25, GhCCR52 and GhCCR64) were significantly more highly expressed in multiple tissues of the stiff-stem line JY-25 than in the soft-stem line JR-15. Together, these findings suggest that GhCCR genes may contribute to the regulation of growth, development, and stress adaptation in G. hirsutum. However, direct biochemical or genetic validation is required to confirm their functional roles in lignin biosynthesis and stem rigidity. Full article

(1) Background: Nitric oxide (NO) serves as a crucial signaling molecule in plant abiotic stress responses. Although its role in enhancing drought resistance in cotton has been recognized, the specific mechanisms underlying this physiological and molecular regulation remain largely unexplored. This study aims to elucidate the multi-layered mechanisms by which NO modulates drought resistance in cotton; (2) Methods: Cotton seedlings were subjected to drought stress with the application of the NO donor sodium nitroprusside (SNP). A combination of confocal laser scanning microscopy, transcriptional expression analysis, biochemical assay of enzyme activity, virus-induced gene silencing (VIGS), and in vitro protein modification assays was applied to characterize the effects of NO on the drought stress response in cotton; (3) Results: Exogenous NO significantly reinforced drought resistance in cotton seedlings by improving leaf water retention capacity and photosynthetic efficiency, eliminating excessive drought-induced reactive oxygen species (ROS), upregulating the transcription and enzymatic activity of antioxidant enzymes, and promoting stomatal closure. Mechanistically, NO triggered S-nitrosylation of the plasma membrane H⁺-ATPase isoform GhHA2, thereby enhancing its protein stability; (4) Conclusions: These findings reveal that exogenous NO orchestrates cotton drought tolerance via multiple interconnected physiological and molecular pathways, in which the activation of the antioxidant defense system and the modulation of stomatal closure serve as central regulatory mechanisms. Full article

Polyamines, a class of low-molecular-weight nitrogen-containing bases with high biological activity, are ubiquitous in organisms and play protective roles in plants under stress. Polyamine oxidase (PAO), a typical flavoprotein characterized as a glycoprotein, is a key enzyme in polyamine catabolism that directly mediates polyamine breakdown and maintains intracellular polyamine homeostasis. However, the specific functions of PAOs in cotton fiber development remain largely unclear. In this study, we identified 23 GhPAO genes from the upland cotton (Gossypium hirsutum L.) genome via comprehensive bioinformatics approaches. We systematically analyzed their physicochemical properties, phylogenetic relationships, gene structures, chromosomal locations, conserved motifs, cis-acting elements, and expression patterns. Quantitative real-time PCR (qPCR) analysis confirmed that GhPAO10 and GhPAO21 exhibited the most pronounced transcript accumulation during both fiber development and stress response processes. Further yeast one-hybrid (Y1H) and dual-luciferase reporter assays indicated that the GhPAO21 promoter was directly regulated by the transcription factor GhTGA1. Our findings provide a foundation for elucidating the functional roles of the PAO gene family in upland cotton and underscore potential candidate genes associated with fiber development and stress responses. Full article

Cotton (Gossypium hirsutum L.) is a promising candidate for an Arsenic (As)-tolerant plant due to its low As accumulation in fibers. The individual arbuscular mycorrhizal fungi (AMF) inoculation or exogenous calcium (Ca²⁺) application is known to enhance heavy metal tolerance in higher plants; however, their synergistic mechanisms in alleviating As stress in cotton remain poorly understood. A three-factor pot experiment was conducted, including two levels of AMF (Funneliformis mosseae C.Walker & A.Schüßler) inoculation (non-inoculated/inoculated), As stress (0/100 mgAs⁵⁺·kg⁻¹soil), and exogenous Ca²⁺ (CaCl₂) application (0/20 mmol·L⁻¹ CaCl₂). AMF inoculation and Ca²⁺ application were investigated for their effects on cotton growth, root morphology, photosynthetic characteristics, osmotic regulators, antioxidant enzyme activities, and ion homeostasis under As stress. Results showed As stress significantly disrupted cotton growth (decreased plant height, shoot and root dry weight) and root morphology (reduced total root length, root area, and root fork number), photosynthetic capacity (reduced Pn, Ci, Fv/Fm, and ΦPSII), osmotic adjustment (decreased proline, soluble sugar and protein), antioxidant defense (inhibited SOD, POD, CAT activities), and K⁺/Ca²⁺ homeostasis (reduced concentration of K⁺ and Ca²⁺, and K⁺/Ca²⁺ ratio). Both AMF inoculation and Ca²⁺ application independently alleviated these adverse effects of As stress. At the same time, AMF symbiosis combined with exogenous Ca²⁺ was better than AMF inoculation or Ca²⁺ application alone in optimizing root architecture, improving stomatal function and photosynthetic efficiency, enhancing osmotic regulator accumulation and antioxidant enzyme activities, and restoring ion balance under As stress. Three-way ANOVA confirmed significant As×AMF×Ca²⁺ interactions on key parameters such as Pn and ΦPSII. In summary, both AMF inoculation and Ca²⁺ application synergistically enhanced cotton As tolerance through regulating growth, root morphology, photosynthetic characteristics, osmotic regulators, antioxidant enzyme activities, and ion homeostasis, demonstrating its potential for sustainable cotton cultivation in As-contaminated soils. Full article

The necrotrophic pathogen Sclerotinia sclerotiorum compromises the physiological and anatomical integrity of cotton, leading to substantial economic losses due to rapid tissue necrosis, stem blight, boll rot, and leaf wilting. In this context, the use of endophytic microorganisms emerges as a promising strategy for the biocontrol of white mold. This study tested the hypothesis that endophytic fungal strains isolated from the roots of Butia purpurascens, a palm tree endemic to the Cerrado biome, could mitigate disease symptoms in Gossypium hirsutum L. To evaluate this, cotton plants were subjected to biotic stress imposed by S. sclerotiorum to assess the effectiveness of seven fungal strains in attenuating disease. The impact of the pathogen was monitored through growth variables, gas exchange, leaf temperature, chlorophyll a fluorescence, antioxidant enzyme activity, proline and malondialdehyde (MDA) levels, and the incidence of rot in petioles, leaves, and flower buds. Overall, inoculation with endophytic fungi significantly alleviated the effects of the phytopathogen, promoting vegetative growth and optimizing physiological performance. Treated plants exhibited alleviated stress in primary photochemistry, reduced non-photochemical energy dissipation, and stable carbon fixation. Additionally, efficient modulation of the antioxidant system and preservation of anatomical structures were observed, minimizing the severe symptoms of white mold. Notably, the non-pathogenic strains BP10EF (Gibberella moniliformis), BP16EF (Penicillium purpurogenum), and BP33EF (Hamigera insecticola) acted as potent physiological modulators, yielding responses similar to those of healthy plants. These results highlight the biotechnological potential of these endophytic strains, which can be explored as both growth promoters and resistance inducers in cotton against white mold. Full article

Rising temperatures and increasing evaporative demand accelerate soil moisture loss (SML) during the sowing-to-emergence phase of cotton (Gossypium hirsutum L.), constraining crop establishment under water-limited Mediterranean conditions. Conventional tillage (CT) involves intensive tillage operations with higher fuel and energy requirements, whereas strip tillage (ST) limits tillage to the crop row while preserving inter-row residues. This study evaluated ST and CT across two consecutive growing seasons (2024 and 2025) under a wheat–cotton rotation system. A field experiment was conducted using a replicated design (n = 8), in which emergence parameters, SML (0–10 cm), yield, and fuel-derived energy use and CO₂ emissions were quantified. SML was significantly lower under ST than CT (43% in 2024 and 52% in 2025; p < 0.001), leading to earlier emergence (0.98–1.17 days) and higher emergence rate index (ERI) values. Cotton yield was slightly higher under CT (3–4%); however, this difference, although statistically significant (p = 0.001), remained limited and consistent across years. In contrast, ST resulted in a 66–69% reduction in operational fuel use, with proportional reductions in energy use and CO₂ emissions on an area basis. Yield-scaled indicators, defined as energy use (MJ kg⁻¹) and CO₂ emissions (kg CO₂ kg⁻¹) per unit yield, further revealed substantially greater resource-use efficiency under ST compared with CT. These findings demonstrate that strip tillage enhances hydrothermal conditions during crop establishment while markedly reducing energy demand and carbon intensity, providing a resource-efficient mechanization strategy for cotton production under increasing climatic stress. Full article

Phosphorus (P) availability is currently a limiting factor for agricultural production, especially in tropical soils, and its interaction with cationic micronutrients can significantly affect physiological efficiency and nutrient uptake by plants. Therefore, this study aimed to evaluate the uptake kinetic parameters described by the Michaelis–Menten model (Vmax, Km, and Cmin) for P as a function of the supply of Cu, Fe, Mn, and Zn, as well as the kinetic parameters of Cu, Fe, Mn, and Zn as a function of P supply in cotton (Gossypium hirsutum L.). The experiment was conducted in a greenhouse at the experimental unit of CENA, in Piracicaba, São Paulo, Brazil, using individual pots. Phosphorus concentration and accumulation were reduced only under Fe and Zn deficiency, with reductions of up to 60% in the shoots and 85% in the roots. Zn deficiency caused a drastic reduction in P uptake capacity, with Vmax decreasing from 590 to 50.85 µmol g⁻¹ h⁻¹ (approximately a 12-fold reduction), accompanied by an increase in Cmin (from 269 to 1508 µmol L⁻¹). In terms of micronutrient kinetics, P omission reduced plant growth and affected only Fe and Zn uptake. For Fe, Km increased from 12.82 to 27.31 µmol L⁻¹ and Cmin from 1.03 to 20.51 µmol L⁻¹. For Zn, and Vmax decreased from 0.16 to 0.02 µmol g⁻¹ h⁻¹ (approximately 8-fold), while Cmin increased from 0.08 to 1.56 µmol L⁻¹. These results demonstrate a strong interaction between P, Fe, and Zn, highlighting their regulatory roles in nutrient uptake and providing mechanistic insights into plant nutritional efficiency. Full article

Cotton, a globally vital cash crop, is severely constrained by V. dahliae. Lignin, a core structural component of plant cell walls, plays a crucial role in physical defense, with its biosynthesis regulated by hydroxycinnamoyltransferase (HCT)—a key enzyme in the phenylpropanoid pathway. However, the HCT gene family in upland cotton (Gossypium hirsutum) and its role in resistance to V. dahliae remain poorly understood. In this study, we performed a genome-wide identification of the HCT gene family in G. hirsutum, identifying 74 GhHCT genes that were classified into five evolutionary subfamilies. Bioinformatics analysis revealed that GhHCT proteins exhibit conserved functional domains but diverse gene structures, with promoter regions enriched in hormone-responsive and stress-responsive cis-acting elements. Expression profiling revealed that multiple GhHCT genes were significantly induced in response to V. dahliae infection. Three genes, GhHCT2, GhHCT35, and GhHCT47, showed significantly higher expression levels in resistant cultivars than in susceptible cultivars during early infection stages, suggesting pivotal roles in defense. These three candidate genes, which contain MeJA/SA-responsive elements in their promoters, may enhance resistance by regulating lignin synthesis to strengthen the cell wall barrier. In summary, this study provides the first comprehensive characterization of the HCT gene family in upland cotton. It identifies key candidates for improving resistance to V. dahliae, offering valuable genetic resources for molecular breeding. Full article

Genome-wide association analysis and transcriptomics were used to investigate salt tolerance traits during germination in 300 Gossypium hirsutum L. germplasm accessions, with the objective of identifying genes and molecular markers associated with salt tolerance. Under 200 mmol L⁻¹ NaCl stress, six traits were evaluated, germination rate, root length, shoot length, root fresh weight, shoot fresh weight, and total fresh weight, as well as their respective salt tolerance indices. A total of 1277 significantly associated single-nucleotide polymorphism (SNP) markers were identified and mapped to 94 quantitative trait loci (QTLs). Of these, 49 QTLs were detected by three or more analytical models, and three QTLs were prioritized for further investigation. Subsequent analysis of these QTLs identified 73 candidate genes potentially involved in cotton salt tolerance. Integration of transcriptomic data revealed that three candidate genes were among the differentially expressed genes (DEGs). Examination of their RNA-seq expression profiles demonstrated significant differences in fragments per kilobase of transcript per million mapped reads (FPKM) values across sampling time points. These three candidate genes are therefore predicted to be associated with salt tolerance during cotton germination. The results provide new insights into the molecular regulatory mechanisms of salt stress tolerance in cotton and offer valuable genetic resources and molecular markers for the genetic improvement of salt tolerance. Full article

Soil salinization is a major constraint on sustainable agriculture worldwide, highlighting the need for stress-tolerant plant growth-promoting rhizobacteria (PGPR) for salt-affected soils. A moderately halophilic and alkali-tolerant bacterium, Staphylococcus succinus NYN-1, was isolated from the rhizosphere soil of the halophyte Suaeda dendroides collected from a highly salinized site in Xinjiang, China. This study aimed to evaluate its salt–alkali tolerance and plant growth-promoting potential through integrated phenotypic characterization, pot experiments, and whole-genome analysis. NYN-1 grew over a broad salinity range [0–15% (w/v)] and pH range (6.0–11.0), and showed plant growth-promoting activities including organic phosphorus mineralization, inorganic phosphate solubilization, potassium solubilization, and NH₄⁺ production. In pot experiments under 300 mM NaCl, inoculation with NYN-1 significantly improved the growth performance of maize (Zea mays L.), cotton (Gossypium hirsutum L.), and sunflower (Helianthus annuus L.). Genome analysis identified multiple Na⁺/H⁺ antiporter-related genes and genes encoding compatible-solute transport systems that are consistent with adaptation to salt–alkali stress. The genome also harbors a broad set of genes related to phosphorus metabolism, as well as other plant growth-promoting functions, including potassium solubilization-related pathways and siderophore biosynthesis. Collectively, these findings identify S. succinus NYN-1 as a promising native halophilic PGPR candidate and a potential microbial resource for developing inoculant strategies in salt-affected agricultural systems. Full article

MLO (Mildew Resistance Locus O) genes encode seven-transmembrane proteins that function as critical regulators of powdery mildew resistance and abiotic stress responses. Despite their established importance, the MLO gene family in Gossypium hirsutum L. has not been systematically investigated under salt stress conditions. Here, we performed genome-wide identification of 46 GhMLO members using Hidden Markov Model and BLAST searches based on the latest cotton genome assembly. Phylogenetic analysis classified these genes into four distinct subfamilies. Transmembrane topology and conserved domain analyses revealed that all GhMLO proteins contain typical MLO domains and transmembrane structures, maintaining high structural similarity with dicotyledonous model plants. Synteny analysis demonstrated that the expansion of the GhMLO family was primarily driven by segmental and tandem duplications. Integration of transcriptomic data from the COTTONOMICS database revealed tissue-specific expression patterns, with higher transcript abundance in receptacles, stems, and roots, but lower levels in stamens and petals. Salt, drought, and cold stress treatments induced upregulation of GhMLO family members, with most genes showing increased expression over time. RT-qPCR analysis validated that five candidate GhMLO genes were significantly upregulated under salt stress. In summary, this study provides a comprehensive genome-wide characterization of the GhMLO gene family, elucidating their phylogenetic relationships and expression dynamics, which establishes a theoretical basis for identifying key regulatory genes involved in abiotic stress responses and offers novel genetic resources for improving stress tolerance in cotton molecular breeding. Full article

Drought stress severely constrains cotton yield and fiber quality, but conventional evaluation methods are inefficient and time-consuming. To address this, we developed a high-throughput, non-destructive phenotyping framework by integrating UAV-based multispectral remote sensing with machine learning, using 225 upland cotton (Gossypium hirsutum L.) accessions. The accessions were subjected to well-watered (CK) and drought stress (DS) treatments at the flowering and boll-setting stage. Canopy multispectral imagery (Green/Red/Red_edge/Near-infrared bands) was acquired via DJI Mavic 3 Multispectral UAV, and 16 vegetation indices (VIs) were derived. Concurrently, 15 agronomic and fiber quality traits were measured to calculate drought resistance coefficients (DRCs), which were used for principal component analysis (PCA) and comprehensive drought tolerance index (D) construction. Hierarchical clustering categorized the accessions into 6 drought tolerance grades (Groups I–VI). Variable importance analysis identified GNDVI, NGRVI, and NDRE as the most drought-sensitive VIs (% IncMSE > 11). Among four regression models (LR, KNN, LGBM, XGBoost), XGBoost achieved the best performance for D prediction (test set: R² = 0.785, RMSE = 0.032, MAE = 0.024). This study demonstrates that UAV multispectral data coupled with XGBoost enables accurate, efficient drought tolerance assessment, providing a robust tool for high-throughput germplasm screening and smart agricultural management. Full article