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Allelochemical signaling and phytohormone crosstalk in plants: molecular mechanisms and implications for sustainable weed management.

Phytotoxic effects from allelopathy occur due to signaling pathways that induce alterations in hormonal balance within the plants, thereby hindering weed growth. Signaling crosstalk between various hormones and signaling pathways (Ca2⁺, MAPK, ROS) is involved in the molecular response mechanisms found through omics. Utilizing such mechanisms would help develop new environmentally friendly methods for sustainable weed management. Allelopathy serves as an essential component of plant-plant interaction via controlling the secretion of secondary metabolites (allelochemicals), which affect the growth, development, and physiological activity of nearby plants. The latest findings indicate that allelochemicals disturb phytohormone balance and signaling pathways resulting in oxidative stress, metabolism dysfunctions, cellular processes disturbances, and eventually inhibiting the growth of target weed species. Molecular biology progress and omics techniques brought information about the sophisticated regulation processes involved in allelopathic interactions. This review summarizes the information about the molecular mechanism of weed suppression mediated by allelopathy with the emphasis on allelochemical perception, phytohormone signaling, ROS responses, and evidence obtained by the application of transcriptomics, proteomics, metabolomics, and other omics-based studies. In addition, it introduces novel approaches, such as rhizosphere engineering, nanotechnologies, and genome editing, which may improve the effectiveness and reliability of allelopathic weed suppression. Overall, these achievements provide prospects for creating a new generation of weed control technologies that are sustainable, environmentally friendly, and climate-adaptive.

Plant Growth Regulators

Cattle manure suppresses methane consumption and enhances denitrification-associated nitrous oxide production in farm dams.

BACKGROUND: Farm dams (or agricultural ponds) are often heavily polluted freshwater systems because of nutrient-rich manure entering the water through direct deposition and runoff. Accordingly, these systems have among the highest greenhouse gas emissions per area, accounting for 41% of global freshwater methane emissions. Sustainable management actions, such as limiting livestock access through fencing, can significantly reduce nutrient concentrations and greenhouse gas emissions. However, the microbes, processes, and factors controlling greenhouse gas cycling in these systems have not been described. Here, we systematically compared the composition, functions, and activities of the microbes in paired fenced and unfenced cattle farm dams in southeastern Australia. RESULTS: We found that in situ methane (CH4) and nitrous oxide (N2O) emissions were strongly reduced in fenced dams. Even though methanogen abundance was higher in fenced dams, fencing increased levels of aerobic methanotrophs, including two previously uncharacterised, metabolically flexible species profiled via metagenome-assembled genomes (MAGs). In contrast, we provide gene- and genome-centric evidence that N2O emissions are likely higher in unfenced dams due to increased production (via denitrification) rather than decreased consumption. Manure likely increases CH4 and N2O emissions primarily by driving nutrient-induced eutrophication and hypoxia that, respectively, stimulate denitrifiers and inhibit methanotrophs. However, we also provide evidence that manure-associated methanogens and bacteria occur in farm dams, where they potentially enhance emissions. CONCLUSIONS: Our findings highlight how anthropogenic activities such as livestock farming can impact microbial communities and biogeochemical cycling, thereby increasing greenhouse gas emissions from freshwater systems, and how simple management actions like fencing can mitigate such emissions. Video Abstract.

Animals

Insecticidal peptides as sustainable tools for future agriculture.

The increasing global human population and the intensification of agriculture present unprecedented challenges for pest control. The escalating resistance of pests to conventional synthetic insecticides, coupled with ecological and health concerns, underscores the urgent need for innovative and sustainable management approaches. Insecticidal peptides, due to their structural diversity, molecular specificity, and biodegradability, are emerging as promising candidates for the development of next-generation bioinsecticides. This strategic roadmap synthesizes recent advances in peptide architectures, ranging from pore-forming scaffolds to designs targeting enzyme inhibition and mimicking neuroendocrine actions, with a focus on the molecular mechanisms underpinning their selectivity and efficacy. By integrating structure-function insights with translational frameworks, we identify critical knowledge gaps and propose a pathway toward biotechnological tools, including bioinspired synthesis, artificial intelligence (AI)-guided peptide engineering, and nanodelivery systems for controlled release. Our analysis positions peptide-based insecticides at the forefront of sustainable agriculture, with the potential to minimize off-target effects, reduce environmental impact, and enhance crop resilience in the face of global change.

Agricultural biotechnology

Beyond antibiotics: artificial intelligence-enabled anti-infective ecosystems for next-generation precision therapeutics against antimicrobial resistance.

The rapid global expansion of antimicrobial resistance (AMR) threatens to undermine decades of progress in infectious disease management and highlights the limitations of conventional antibiotic-centered therapeutic strategies. Although emerging technologies-including antimicrobial peptides, bacteriophage therapy, CRISPR-based antimicrobials, microbiome therapeutics, anti-virulence approaches, nanotechnology-enabled drug delivery, and artificial intelligence (AI)-have individually demonstrated considerable promise, they are predominantly being developed as independent interventions rather than as coordinated components of an integrated therapeutic strategy. This Perspective proposes the Intelligent Anti-Infective Ecosystem (IAIE) as a conceptual systems-level framework that computationally integrates multimodal diagnostics, pathogen genomics, microbiome profiling, AI-assisted decision support, programmable precision therapeutics, ecological monitoring, and longitudinal clinical feedback within a continuously learning dynamically optimized workflow. Unlike existing paradigms that primarily optimize individual technologies or therapeutic decisions, IAIE emphasizes closed-loop coordination among complementary antimicrobial approaches to support precision-guided infection management while preserving microbiome integrity and mitigating resistance selection pressure. We further outline the core components, operational principles, translational challenges, and technology readiness of the major therapeutic platforms that could contribute to such an ecosystem, while distinguishing clinically established interventions from emerging experimental strategies. Importantly, IAIE should be interpreted as a prospective conceptual architecture rather than an existing clinical platform. Its proposed clinical value remains to be established through sequential computational, preclinical, and prospective clinical investigations using standardized microbiological, ecological, and patient-centered outcome measures. By framing antimicrobial innovation within an responsive systems perspective, IAIE provides a roadmap for future multidisciplinary research aimed at integrating artificial intelligence and systems microbiology to enable sustainable management of antimicrobial resistance.

Humans

De novo transcriptome meta-analysis reveals candidate genes involved in life-stage transitions for RNAi-mediated management of the citrus root weevil (Diaprepes abbreviatus).

BACKGROUND: The citrus root weevil, Diaprepes abbreviatus, is a destructive agricultural pest for which molecular control options remain limited due to historically sparse genomic resources. Leveraging a comprehensive de novo transcriptome, we investigated developmental gene regulation across larval, pupal, and adult stages and identified essential targets for RNA interference (RNAi)-based intervention. RESULTS: Stage-resolved transcriptomic analyses revealed extensive transcriptional reprogramming associated with metabolism, detoxification, cuticle biosynthesis, endocrine signaling, and sensory perception. Among these, chitin synthase (DaCHS) emerged as a critical developmental gene, exhibiting pronounced up-regulation during late larval and pupal stages corresponding to intensive cuticle synthesis. Phylogenetic and structural analyses demonstrated that DaCHS is highly conserved among insects and retains canonical catalytic domains and transmembrane topology. Alpha Fold-based structural modeling and molecular docking confirmed stable interaction of DaCHS with its substrate, N-acetylglucosamine, supporting functional conservation of enzymatic activity. Oral delivery of DaCHS double-stranded RNA induced robust transcript suppression, leading to significant mortality and severe developmental defects, including larval and pupal abnormalities, and adults with disrupted wing and abdominal morphogenesis. CONCLUSION: These findings establish DaCHS as an indispensable gene for D. abbreviates development and validate transcriptome-guided RNAi as a powerful framework for target discovery. This work provides a strong molecular foundation for developing RNAi-based strategies that can be integrated into sustainable management programs for citrus root weevil control. © 2026 Society of Chemical Industry.

Animals

MicroRNA-driven regulatory networks in aphid ecological adaptation: integrating stress tolerance, dispersal plasticity, and population expansion.

Aphids (Hemiptera: Aphididae) are important agricultural pests and exhibit strong ecological adaptability, allowing them to persist under stress, disperse to new habitats, and rapidly increase population size. Recent advances in functional genomics have identified microRNAs (miRNAs) as key post-transcriptional regulators involved in these processes, yet their roles have remained fragmented across studies. Here, we synthesize current evidence into a "three-stage framework", encompassing population maintenance under stress, dispersal to new habitats, and population expansion upon establishment. We highlight how miRNAs regulate detoxification pathways (e.g., P450s, UGTs, ABC transporters), mediate interactions with host plants and symbionts, and integrate hormonal signaling networks including insulin, juvenile hormone, and ecdysteroid pathways. This framework identifies candidate miRNAs, target genes, and signaling pathways that may recur across different ecological contexts, including stress responses, dispersal-related plasticity, and reproductive regulation. However, direct evidence demonstrating that candidate shared miRNA regulators coordinate multiple life-history stages remains limited and requires further experimental validation. We critically evaluate the strength of functional evidence, distinguishing experimentally validated miRNA-target interactions from prediction- or expression-based associations. Finally, we discuss emerging applications of miRNA-based pest control, including artificial miRNAs, RNAi technologies, and nanocarrier delivery systems. By linking molecular mechanisms with ecological outcomes, this review provides a synthesis and highlights miRNAs as important regulators of aphid adaptation and candidate targets for sustainable management strategies.

Aphids

Integrated assessment of biocontrol potential and genome analysis of endophytic Bacillus velezensis MGL-B1 against mango stem-end rot.

Mango stem-end rot is a globally significant postharvest disease that severely threatens the mango industry, primarily caused by Botryosphaeria dothidea. However, information on biocontrol agents targeting this pathogen in mango remains limited. In this study, we isolated and identified a strain of Bacillus velezensis MGL-B1 from mango leaf tissues for the first time, which exhibited broad-spectrum antifungal activity. Both in vitro and in vivo assays demonstrated that MGL-B1 effectively inhibited the growth of B. dothidea, with an in vivo biocontrol efficacy reaching 83.72 ± 5.10%, comparable to that of the commonly used chemical fungicide thiabendazole. Further mechanistic analysis revealed that MGL-B1 acts by directly disrupting the integrity of the pathogen's mycelial cell membrane. In addition, its released volatile organic compounds (VOCs) also displayed significant antifungal activity, with components such as 2-nonanone, 2-nonanol, and phenylethyl alcohol being confirmed to exert antifungal effects in in vitro fumigation assays. qPCR analysis showed that MGL-B1 treatment significantly upregulated the transcriptional levels of genes involved in plant-pathogen interaction, phenylpropanoid biosynthesis, and antioxidant defense pathways in mango fruits, with upregulation folds of 16.32, 37.19, and 75.93, respectively; meanwhile, the expression of browning-related genes such as polyphenol oxidase (PPO) was markedly suppressed. Whole-genome sequencing further revealed 14 biosynthetic gene clusters for antimicrobial compounds, including five unknown gene clusters. Collectively, B. velezensis MGL-B1 represents a promising biocandidate strain with multiple antifungal mechanisms and excellent control efficacy, providing a valuable resource for green and sustainable management of mango diseases.

Mangifera

Transmission dynamics and driving mechanisms of antibiotic resistance genes through a chronosequence of saline-sodic rice cultivation.

Rice cultivation reclaims saline-sodic soils and improves fertility, but may also promote antibiotic resistance genes (ARGs) accumulation and horizontal transfer, posing ecological risks. This study investigated long-term co-evolution of soil properties, microbial communities, ARGs, and mobile genetic elements (MGEs) across a 1-78 year cultivation chronosequence in saline-sodic fields. Results indicated that prolonged cultivation effectively alleviated soil salinization and increased fertility. Microbial communities shifted directionally, with functional taxa enriched, while opportunistic pathogen-containing genera peaked during 5-20 years. ARGs abundance and diversity increased markedly after five years and peaked at 10-20 years. Multidrug efflux pump genes persisted throughout the chronosequence, whereas aminoglycoside resistance genes declined after 30 years. MGEs activity increased over time and was significantly correlated with key ARGs. Path analysis identified improved soil properties as the primary direct driver of ARGs accumulation, while cultivation-induced declines in microbial diversity indirectly promoted ARGs dissemination by weakening the community's suppression of MGEs-mediated horizontal transfer. Collectively, long-term rice cultivation not only ameliorated saline-sodic soils but also created a dynamic, stage-specific resistome, with the 5-20 year period representing a critical risk window for ARGs propagation. These findings highlight the need to integrate ARGs monitoring into soil health assessments for sustainable management of reclaimed saline-sodic lands.

Oryza

The overlooked conservation values of saline lakes.

Saline lakes are hypersensitive to changes in their water balance and therefore show amplified responses to climatic and land-use changes in their catchment. Despite often dramatic ecological impacts, saline lakes rank low on policy agendas as they are assumed to support few ecosystem services and low levels of biodiversity. Here, we challenge this view and evaluate ecosystem services and threatened species in 85 saline lakes distributed across the globe. We show that saline lakes support, additionally to threatened aquatic biota, a diverse range of red-listed terrestrial species that contribute together with a large beta diversity to their conservation value. Further, our results highlight that saline lakes provide a number of culturally and economically important ecosystem services but several of them are 'hidden' and difficult to quantify. We conclude our analysis with best-practice recommendations for sustainable management of saline lakes. Their local adaptation and implementation will be key for safeguarding biodiversity and ecosystem services of these valuable and highly sensitive ecosystems.

Lakes

High-quality chromosome-level genome of three Meretrix species using Nanopore and Hi-C technologies.

Meretrix is a commercially valuable bivalve genus in Asia, but only one reference genome has hindered comprehensive genetic studies and germplasm resource evaluation. In this study, we present three reference genomes of Meretrix species: Meretrix sp. MF1, Meretrix sp. MT1, and Meretrix lamarckii JML1. Meretrix sp. MF1 was assembled at the chromosome level using Nanopore sequencing and Hi-C technologies, whereas Meretrix sp. MT1 and Meretrix lamarckii were assembled as scaffold-level assemblies. The chromosome-level genome of Meretrix sp. MF1 consists of 36 contigs, including 19 chromosomes and 17 scaffolds, with a total length of 883.3 Mb and a scaffold N50 of 46.87 Mb. Notably, the genome of Meretrix sp. MF1, a putative novel species, exhibits an Average Nucleotide Identity (ANI) of 94.33% with its closest relative, Meretrix lamarckii. These genomic resources not only provide a crucial foundation for genetic research on Meretrix but also contribute to the development of effective conservation strategies for its sustainable management.

Animals

Trade-Offs Associated with Virulence of Soybean Cyst Nematode on the Broad-Spectrum Resistance Source PI 437654.

The soybean cyst nematode (SCN; Heterodera glycines) poses a major challenge to soybean production, intensified by the declining effectiveness of natural resistance against this pathogen. Although the use of resistant soybean varieties can be effective, their widespread and repeated use ultimately results in the emergence of virulent nematode populations that can successfully attack these resistant hosts. To assess for potential trade-offs between virulence and fitness, we investigated the hatch response, penetration rate, and reproductive potential of SCN adapted to overcome the broad-spectrum resistance source PI 437654. The hatching process is a critical phase in the life cycle of the SCN, influencing its ability to infect hosts and complete its life cycle. Our results indicated that SCN populations exhibit preferential and heightened hatch responses to their adapted host compared to alternative hosts, regardless of their virulence profile. Additionally, we found that SCN populations adapted to overcome broad-spectrum resistance showed reduced reproductive success on susceptible hosts compared to unadapted populations. This reduction in reproductive success was not attributed to differences in hatch response or penetration rates. The results from our study highlight the potential trade-offs associated with SCN virulence adaptation and emphasize the importance of considering these evolutionary dynamics in developing sustainable management strategies.

Disease Control and Pest Management

Familial hypokalaemia and hypomagnesaemia. A further family.

A family of four siblings is reported. While both parents and one sib appear entirely normal, three other sibs give biochemical evidence of impaired potassium conservation, hypomagnesaemia and decreased urinary calcium output. Affected sibs may be symptom free and of either sex. The dominant clinical abnormality, when it does occur, is tetany and may be precipitated by non-specific illness. Sustained management of the hypokalaemia seems desirable.

Child

The Complete Chloroplast Genome and the Phylogenetic Analysis of Panicum bisulcatum (Thumb.) (Poaceae).

The chloroplast (cp) genome of Panicum bisulcatum (Thumb.), a significant agricultural weed, was sequenced and characterized to elucidate its genomic architecture, evolutionary dynamics, and phylogenetic relationships. The complete cp genome was assembled as a circular DNA molecule of 138,489 bp, exhibiting a typical quadripartite structure comprising a large single-copy (LSC, 82,260 bp), a small single-copy (SSC, 12,569 bp), and a pair of inverted repeats (IR, 21,830 bp each) regions. It encodes 135 genes, including 89 protein-coding genes, 49 tRNAs, and 8 rRNAs. Functional annotation revealed that most genes are involved in photosynthesis and genetic system. A total of 51 simple sequence repeats (SSRs) and 62 long repeats (LRs) were identified, providing potential molecular markers. Comparative analysis of IR boundaries highlighted both conserved features and species-specific expansion/contraction events among Panicum species. Phylogenomic analysis robustly placed P. bisulcatum within the genus Panicum, showing a closest relationship with P. incomtum and confirming the monophyly of the genus. Furthermore, single nucleotide polymorphism (SNP) analysis with its closest relative, P. incomtum, revealed 4659 SNPs, with a dominance of synonymous substitutions, indicating the action of purifying selection. This study provides the first comprehensive cp genomic resource for P. bisulcatum, which will facilitate future studies in species identification, phylogenetic reconstruction, population genetics, and the development of sustainable management strategies for this weed.

Phylogeny

Genetic investigation of population structure in Atlantic chub mackerel, Scomber colias Gmelin, 1789 along the West African coast.

Sustainable management of transboundary fish stocks hinges on accurate delineation of population structure. Genetic analysis offers a powerful tool to identify potential subpopulations within a seemingly homogenous stock, facilitating the development of effective, coordinated management strategies across international borders. Along the West African coast, the Atlantic chub mackerel (Scomber colias) is a commercially important and ecologically significant species, yet little is known about its genetic population structure and connectivity. Currently, the stock is managed as a single unit in West African waters despite new research suggesting morphological and adaptive differences. Here, eight microsatellite loci were genotyped on 1,169 individuals distributed across 33 sampling sites from Morocco (27.39°N) to Namibia (22.21°S). Bayesian clustering analysis depicts one homogeneous population across the studied area with null overall differentiation (F ST = 0.0001ns), which suggests panmixia and aligns with the migratory potential of this species. This finding has significant implications for the effective conservation and management of S. colias within a wide scope of its distribution across West African waters from the South of Morocco to the North-Centre of Namibia and underscores the need for increased regional cooperation in fisheries management and conservation.

Animals

Molecular characterization of vitellogenin and its receptor with CRISPR-based sgRNA validation in the legume pod borer, Maruca vitrata (Geyer) (Lepidoptera: Crambidae).

Maruca vitrata, the legume pod borer, causes yield losses of up to 80% in grain legumes. Increasing insecticide resistance and environmental concerns necessitate sustainable pest management alternatives. In the present study, the complete vitellogenin (Vg) coding sequence (CDS), a key reproductive gene involved in oogenesis and embryonic development, was cloned and molecularly characterised from M. vitrata. The assembled Vg CDS (∼5.3 kb) shared 99.04% sequence identity with the reported M. vitrata Vg sequence (MG799570.1). Phylogenetic analysis demonstrated close evolutionary association with related Lepidopteran species, while protein domain analysis identified three conserved domains, namely LPD_N, DUF1943, and VWD. Among these, the single exon-encoded LPD_N domain was selected as the target region for CRISPR/Cas9-mediated editing. Homology models of Vg and vitellogenin receptor (VgR) (Global Model Quality Estimation (GMQE): 0.58 and 0.51) showed a favourable interaction by protein-protein docking (score: -295.66). Three single-guide RNAs (sgRNAs) were designed, synthesised through in-vitro transcription, and evaluated using in vitro cleavage assays. sgRNA1 targeting the LPD_N domain and sgRNA2 targeting the signal peptide region exhibited efficient site-specific cleavage activity, whereas sgRNA3 failed to induce cleavage because of an unfavourable secondary structure that likely impaired Cas9-sgRNA complex formation. Overall, this study provides the first CRISPR-oriented functional characterisation and sgRNA validation of the M. vitrata Vg gene, together with structural characterisation of VgR and Vg-VgR interaction analysis, providing preliminary molecular resources for future CRISPR/Cas9 studies and supporting future embryo microinjection and heritable genome editing for sustainable management of M. vitrata.

CRISPR/Cas9

Herbicide Resistance Genes in Crops: Mechanisms, Progress, and Future Perspectives.

While previous reviews have largely focused on individual crops or single target-site mechanisms, the full-chain comparative landscape across major cereal crops remains unexplored. Here, we fill this critical gap by providing the first systematic, cross-crop comparative review that spans herbicide targets, resistance mechanisms, and breeding applications across four major cereals-rice, maize, wheat, and sorghum. Weed infestation is a serious constraint on crop production. Chemical weed control faces challenges such as herbicide resistance evolution and ecological risks. Developing herbicide-resistant varieties is a fundamental approach to achieve green and sustainable weed management. This review systematically summarizes research progress on herbicide resistance genes from three aspects: herbicide classification, resistance mechanisms, and crop breeding applications. It highlights key differences among four major cereal crops (rice, maize, wheat, and sorghum) in resistance-gene discovery and translational progress. Rice has the richest target-site resistance-gene resources. Maize leads in commercialization of transgenic herbicide resistance. Wheat focuses on endogenous precise editing due to genome complexity and regulatory constraints. Sorghum relies on specific mutations to serve cereal-legume intercropping systems. Based on this comparison, this review identifies the core trends in resistance breeding: from single-gene to multi-gene stacking, and from exogenous gene introduction to endogenous gene editing. It also points out common bottlenecks, including insufficient systematic mining of resistance-gene resources, lagging elucidation of non-target-site resistance regulatory networks, and strong genotype dependence in genetic transformation. Future efforts should focus on exploring broad-spectrum resistance genes, optimizing precise editing technologies, and developing sustainable resistance management strategies. This review provides a theoretical framework and practical references for molecular breeding of herbicide-resistant crops.

crop breeding

A multicentre evaluation of sustained release oxprenolol in the management of hypertension in hospital out-patient practice.

One hundred and two patients with essential hypertension, managed in hospital out-patient clinics in the United Kingdom on a drug regime of beta-receptor antagonist alone, or in combination with a diuretic were successfully transferred to once daily sustained release oxprenolol. Where a diuretic was prescribed the dose remained unchanged. Improved control of blood pressure was recorded in the majority of patients with one or two morning tablets of sustained release oxprenolol. Preference for once daily therapy, enthusiasm for the calendar pack, and a net increase in the mean daily dosage of a beta-receptor antagonist were the probable factors contributing to the improvement recorded. Once daily sustained release oxprenolol would appear, in most hypertensive patients, to be an effective substitute for multi-dose treatment with beta-receptor antagonists in conventional formulation.

Adult

Functional analysis of down-regulated CYP6AE gene clusters involved in the insecticidal mechanism of lycorine against Spodoptera litura.

BACKGROUND: Plants have evolved abundant defensive secondary metabolites to resist insect herbivores. Lycorine is an alkaloid with insecticidal activity from Amaryllidaceae plants, which the destructive pest Spodoptera litura naturally avoids. Cytochrome P450 enzymes are central to xenobiotic detoxification in insects, but the mechanism by which lycorine acts against S. litura remains unknown. This study aimed to reveal the toxic mechanism of lycorine focusing on P450-mediated detoxification. RESULTS: Lycorine exhibited substantial toxicity to first-instar S. litura larvae (LD50 = 0.55 μg larva-1). Subsequently, when fifth-instar larvae were exposed to a sublethal dose (LD30) of lycorine, Lyc disrupted metabolic pathways, damaged Malpighian tubules, and induced oxidative stress. Furthermore, lycorine strongly repressed a CYP6AE gene cluster (CYP6AE47, CYP6AE50, CYP6AE70, CYP6AE138 and CYP6AE139) and decreased total P450 activity to 45% in the Malpighian tubules. RNAi co-silencing of these cluster genes increased larval mortality (+30%) under lycorine treatment. Finally, molecular docking and microscale thermophoresis analyses further confirmed direct binding between Lyc and this CYP6AE gene cluster, with the strongest affinity observed for CYP6AE47 (Kd = 518.5 nM). A key residue, ARG170, may be vital for the interaction between Lyc and CYP6AE47. CONCLUSIONS: These results demonstrate that the insecticidal mechanism of Lyc involves suppressing the expression and function of a CYP6AE gene cluster, thereby impairing detoxification capacity, which leads to Lyc accumulation and larval mortality. Elucidation of the detoxification system-targeted mechanism for this plant-derived compound provides a foundation for developing novel, sustainable pest management strategies against S. litura and potentially other noctuid pests. © 2026 Society of Chemical Industry.

Animals