Cotton Verticillium wilt monitoring based on UAV multispectral-visible multi-source feature fusion

Computers and Electronics in Agriculture, Год журнала: 2024, Номер 217, С. 108628 - 108628

Опубликована: Янв. 21, 2024

Язык: Английский

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Identification and Application of the Heptad Repeat Domain in the CPR5 Protein for Enhancing Plant Immunity

Molecular Plant Pathology, Год журнала: 2025, Номер 26(2)

Опубликована: Фев. 1, 2025

ABSTRACT Plant resistance to pathogens can be significantly enhanced through genetic modification, thereby reducing the reliance on chemical pesticides. CONSTITUTIVE EXPRESSER OF PATHOGENESIS‐RELATED GENES 5 (CPR5) serves as a key negative regulator of plant immunity. Here we explored functional domains CPR5 protein with goal dampening its activity bolster Using hexapeptide asparagine–alanine–alanine–isoleucine–arginine–serine (NAAIRS) linker‐scanning analysis, identified heptad repeat domain (HRD) in middle region protein, which is highly conserved across kingdom. The HRD predicted form an α‐helix structure and acts interface for dimerization. Intriguingly, overexpression Arabidopsis wild‐type plants resulted phenotype similar cpr5 mutant led enhancement immunity, indicating that introduced HRDs disrupt native dimers, relieving suppression Furthermore, expression under control pathogen‐inducible promoter improved cotton Verticillium dahliae , destructive wilt pathogen affecting production worldwide. These findings suggest downregulating by could promising approach strengthening

Язык: Английский

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Detection of Cotton Verticillium Wilt Disease Severity Based on Hyperspectrum and GWO-SVM

Remote Sensing, Год журнала: 2023, Номер 15(13), С. 3373 - 3373

Опубликована: Июль 1, 2023

In order to address the challenge of early detection cotton verticillium wilt disease, naturally infected plants in field, which were divided into five categories based on degree disease severity, have been investigated this study. Canopies analyzed with spectral data measured, and various preprocessing techniques, including multiplicative scatter correction (MSC) MSC-continuous wavelet analysis algorithms, used predict severity. With a combination support vector machine (SVM) models such optimization algorithms as genetic algorithm (GA), grid search (GS), particle swarm (PSO), grey wolf optimizer (GWO), grading model was established The study results show that MSC-PSO-SVM outperforms other three terms classification accuracy, macro precision, recall, F1-score are 80%, 81.26%, 79.57%, respectively. Among those eight constructed basis continuous analyses using mexh db3, MSC-db3(23)-PSO-SVM MSC-db3(23)-GWO-SVM perform best, latter having shorter running time. An overall evaluation shows is an optimal model, values its indicators being 91.2%, 92.02%, 91.16%, Moreover, under prediction accuracy levels 1 5 has achieved highest rate 100%, 88% level 2 lowest 84% both 3 4. These demonstrate it effective use technology classifying satisfying needs field grading. This provides new approach for offered theoretical prevention, precise drug application, instrument development disease.

Язык: Английский

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In the coevolution of cotton and pathogenic fungi, resistant cotton varieties lead to an escalation in the virulence of Verticillium dahliae

Ecotoxicology and Environmental Safety, Год журнала: 2025, Номер 290, С. 117730 - 117730

Опубликована: Янв. 1, 2025

Verticillium dahliae is highly prone to pathogenic differentiation and influenced by host cotton's resistance. To better understand the mechanisms of this phenomenon, we applied selective pressures resistant susceptible cotton varieties on V. strain Vd076 within an artificial wilt nursery greenhouse. Consequently, among offspring strains, high virulence strains exhibited higher levels physiological characteristics genetic diversity compared moderate low strains. Moreover, whole genome resequencing revealed that Ka/Ks ratio single nucleotide polymorphism (SNPs) in majority was about 0.6, indicating adverse selection impact Pathogenicity assays demonstrated triggered continuous induction disease-resistant cultivar increased from 4th generation reached its peak 6th generation. Additionally, transcriptome analysis generations differentially expressed genes (DEGs) accumulated a significant number response associated with pathogen pathogenicity differentiation, including mitogen-activated protein kinase (MAPK) signaling pathway, amino antibiotic biosynthesis, phenylpropanoid metabolism. Furthermore, VDAG_04757, VDAG_06462, VDAG_03218, VDAG_08487 correlation dahliae. Collectively, study has implications for elucidating evolution induced host, as well advancing holistic strategies preventing managing disease.

Язык: Английский

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Genome-Wide and Expression Pattern Analysis of the DVL Gene Family Reveals GhM_A05G1032 Is Involved in Fuzz Development in G. hirsutum

International Journal of Molecular Sciences, Год журнала: 2024, Номер 25(2), С. 1346 - 1346

Опубликована: Янв. 22, 2024

DVL is one of the small polypeptides which plays an important role in regulating plant growth and development, tissue differentiation, organ formation process coping with stress conditions. So far, there has been no comprehensive analysis expression profile function cotton gene. According to previous studies, a candidate gene related development fuzz was screened, belonging family, trichomes Arabidopsis thaliana. However, identification systematic have not conducted. In this study, we employed bioinformatics approaches conduct novel structural characteristics, phylogenetic tree, structure, pattern, evolutionary relationship, selective pressure family members four species. A total 117 genes were identified, including 39 G. hirsutum. Based on analysis, protein sequences categorized into five distinct subfamilies. Additionally, successfully mapped these onto chromosomes visually represented their structure information. Furthermore, predicted presence cis-acting elements hirsutum characterized repeat types Moreover, computed Ka/Ks ratio homologous across species elucidated acting genes. addition, described patterns using RNA-seq data, verified correlation between GhMDVL3 through VIGS technology, found that some may be involved resistance biotic abiotic conditions qRT-PCR technology. potential interaction network constructed by WGCNA, our findings demonstrated GhM_A05G1032 interact numerous genes, thereby playing crucial development. This research significantly contributed comprehension upland cotton, establishing solid basis for future investigations functional aspects cotton.

Язык: Английский

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Optimization of the fermentation media and growth conditions of Bacillus velezensis BHZ-29 using a Plackett–Burman design experiment combined with response surface methodology

Frontiers in Microbiology, Год журнала: 2024, Номер 15

Опубликована: Апрель 22, 2024

Introduction Bacillus velezensis occurs extensively in the soil environment. It produces a range of antimicrobial compounds that play an important role field biological control. However, during actual application process it is often affected by factors such as medium formulation and fermentation conditions, therefore biocontrol measures do not achieve their expected outcomes. Methods In this study, B. BHZ-29 strain was used research object. The carbon nitrogen sources, inorganic salts affect number viable bacteria antibacterial potency BHZ-29, were screened single factor test. A Plackett–Burman design experiment conducted to determine significant affecting potency, Box–Behnken obtain optimal growth BHZ-29. formula produced highest most substances determined. initial pH, temperature, amount inoculant, liquid volume, shaking speed, culture time determined had influence on selected orthogonal titer. Results Molasses, peptone, magnesium sulfate effects count titer increased from 7.83 × 10 9 2.17 CFU/mL, 111.67 153.13 mm/mL when media used. conditions for follows: temperature 25.57°C, pH 7.23, 95.90 h, rotation speed 160 rpm, inoculant 2%, volume 100 ml. After optimization 3.39 bacteriostatic 158.85 mm/ml. plant height leaf cotton plants treated with broth higher than those inoculated Verticillium dahliae . 1.15 7 CFU/g, fungi 1.60 5 spores/g. disease index seedlings optimized 2.2, control effect 93.8% achieved. could reduce wilt controlling disease. best achieved treatment group inoculation concentration 2 8 CFU/ml, 14.50, 84.18% Discussion parameters lay foundation practical production agriculture.

Язык: Английский

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Insights into the biocontrol and plant growth promotion functions of Bacillus altitudinis strain KRS010 against Verticillium dahliae

BMC Biology, Год журнала: 2024, Номер 22(1)

Опубликована: Май 20, 2024

Abstract Background Verticillium wilt, caused by the fungus dahliae , is a soil-borne vascular fungal disease, which has great losses to cotton yield and quality worldwide. The strain KRS010 was isolated from seed of wilt-resistant Gossypium hirsutum cultivar “Zhongzhimian No. 2.” Results broad-spectrum antifungal activity various pathogenic fungi as Botrytis cinerea Fusarium spp., Colletotrichum Magnaporthe oryzae inhibition rate V. mycelial growth 73.97% 84.39% respectively through confrontation test volatile organic compounds (VOCs) treatments. identified Bacillus altitudinis phylogenetic analysis based on complete genome sequences, physio-biochemical characteristics were detected, including growth-promoting ability active enzymes. Moreover, control efficiency against wilt 93.59%. After treatment with culture, biomass reduced. in group (Vd991 alone) 30.76-folds higher than that (KRS010+Vd991). From molecular biological aspect, could trigger plant immunity inducing systemic resistance (ISR) activated salicylic acid (SA) jasmonic (JA) signaling pathways. Its extracellular metabolites VOCs inhibited melanin biosynthesis . In addition, had been characterized promote growth. Conclusions This study indicated B. beneficial microbe potential for controlling cotton, well promoting

Язык: Английский

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Potential of Trichoderma virens HZA14 in Controlling Verticillium Wilt Disease of Eggplant and Analysis of Its Genes Responsible for Microsclerotial Degradation

Plants, Год журнала: 2023, Номер 12(21), С. 3761 - 3761

Опубликована: Ноя. 3, 2023

Verticillium dahliae is a soilborne fungal pathogen that causes vascular wilt diseases in wide range of economically important crops, including eggplant. Trichoderma spp. are effective biological control agents suppress plant pathogens through variety mechanisms, mycoparasitism. However, the molecular mechanisms mycoparasitism degradation microsclerotia V. not yet fully understood. In this study, ability 15 isolates to degrade was evaluated using dual culture method. After days, isolate HZA14 showed greatest potential for microsclerotial degradation. The filtrate also significantly inhibited mycelial growth and conidia germination at different dilutions. Moreover, study T. virens produced siderophores indole-3-acetic acid (IAA). disease tests, reduced severity eggplant seedlings by up 2.77%, resulting efficacy 96.59% 30 days after inoculation. Additionally, inoculation with an increased stem root length fresh dry weight, demonstrating promotion efficacy. To further investigate mechanism HZA14, transcriptomics sequencing real-time fluorescence quantitative PCR (RT-qPCR) were used identify differentially expressed genes (DEGs) 3, 6, 9, 12, interaction dahliae. contrast group, mycoparasitic process exhibited differential gene expression, 1197, 1758, 1936, 1914 being up-regulated 1191, 1963, 2050, 2114 down-regulated, respectively. Among these genes, enzymes associated microsclerotia, such as endochitinase A1, endo-1,3-beta-glucanase, alpha-N-acetylglucosaminidase, laccase-1, peroxidase predicted based on bioinformatics analysis. RT-qPCR results confirmed RNA-sequencing data, showing expression trend consistent. These provide information understanding integrated management other crops.

Язык: Английский

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Severity Assessment of Cotton Canopy Verticillium Wilt by Machine Learning Based on Feature Selection and Optimization Algorithm Using UAV Hyperspectral Data

Remote Sensing, Год журнала: 2024, Номер 16(24), С. 4637 - 4637

Опубликована: Дек. 11, 2024

Verticillium wilt (VW) represents the most formidable challenge in cotton cultivation, critically impairing both fiber yield and quality. Conventional resistance assessment techniques, which are largely reliant on subjective manual evaluation, fail to meet demands for precision scalability required advanced genetic research. This study introduces a robust evaluation framework utilizing feature selection optimization algorithms enhance accuracy efficiency of severity VW. We conducted comprehensive time-series UAV hyperspectral imaging (400 995 nm) canopy field environment different days after sowing (DAS). After preprocessing data extract wavelet coefficients vegetation indices, various methods were implemented select sensitive spectral features By leveraging these selected features, we developed machine learning models assess VW at scale. Model validation revealed that performance responded dynamically as progressed achieved highest R2 0.5807 DAS 80, with an RMSE 6.0887. Optimization made marked improvement SVM using all observation data, increasing from 0.6986 0.9007. demonstrates potential based enhancing management, promising advancements high-throughput automated disease assessment, supporting sustainable agricultural practices.

Язык: Английский

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The novel bacteriocin BacYB1 produced by Leuconostoc mesenteroides YB1: From recent analytical characterization to biocontrol Verticillium dahliae and Agrobacterium tumefaciens

Microbial Pathogenesis, Год журнала: 2024, Номер 192, С. 106680 - 106680

Опубликована: Май 8, 2024

Язык: Английский

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