Journal of Agriculture and Food Research最新文献

{"title":"QSAR modeling and machine learning for antifungal peptide discovery in crop protection: Translational challenges and future perspectives","authors":"Riccardo Zanni,&nbsp;Maria Galvez-Llompart,&nbsp;Ignacio Bueso-Bordils,&nbsp;Alejandro Perez-Garcia,&nbsp;Dolores Fernandez-Ortuño,&nbsp;Facundo Perez-Giménez","doi":"10.1016/j.jafr.2026.103162","DOIUrl":"10.1016/j.jafr.2026.103162","url":null,"abstract":"<div><div>Fungicide resistance and restrictions on conventional agrochemicals are increasing the need for sustainable crop-protection strategies. Antifungal peptides (AFPs) are considered promising candidates due to their multiple mechanisms of action, biodegradability, and suitability for environmentally sustainable disease control. However, their application in agriculture remains limited by poor field stability, suboptimal delivery systems, high production costs, and the lack of predictive models validated against phytopathogenic fungi. This review collected and critically compared QSAR and machine learning (ML) studies published between 2015 and 2025, focusing on their modeling strategies, predictive performance, limitations, and translational requirements for antifungal peptide discovery in crop protection. The available literature remains dominated by <em>Candida</em> spp. and broadly biomedical antifungal datasets, highlighting the translational gap between biomedical AFP prediction and agricultural application. Eight representative studies were compared in terms of dataset size, endpoint, descriptors, algorithms, target fungi, predictive performance, and validation approaches. Dataset size ranged from 45 to 60 peptides in small congeneric series to large-scale collections containing up to 17,514 sequences. Classification models generally reported validation or test accuracies of 0.86–0.96 and AUC values of 0.91–0.99, whereas regression models showed more variable external or test performance, with R² values of approximately 0.50–0.87. The reviewed studies illustrate a diverse methodological landscape, from interpretable QSAR models to ML classifiers and deep-learning pipelines based on protein-language-model sequence representation. Overall, the principal barrier to agricultural translation is not algorithm availability, but the lack of curated plant-pathogen-specific datasets, standardized agricultural endpoints, and external benchmarks incorporating field-relevant traits such as protease resistance, UV stability, leaf-surface persistence, formulation compatibility, phytotoxicity, and effects on beneficial microorganisms.</div></div>","PeriodicalId":34393,"journal":{"name":"Journal of Agriculture and Food Research","volume":"30 ","pages":"Article 103162"},"PeriodicalIF":7.2,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148645294","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Corrigendum to “Sargassum polycystum as natural source of antioxidant and antidiabetic compounds: a solvent-driven metabolomic profiling study” [J. Agric. Food Res. 25 (2026) 102549]","authors":"Fahrul Nurkolis,&nbsp;Fiona Nishani,&nbsp;Patricia Daliu,&nbsp;Yaumi Nur Aziziy,&nbsp;Solihatun Amidan Amatul Aziz,&nbsp;Artha Maressa Theodora Simanjuntak,&nbsp;Hayatun Nufus,&nbsp;Eka Sunarwidhi Prasedya,&nbsp;Antonello Santini,&nbsp;Andri Frediansyah","doi":"10.1016/j.jafr.2026.103151","DOIUrl":"10.1016/j.jafr.2026.103151","url":null,"abstract":"","PeriodicalId":34393,"journal":{"name":"Journal of Agriculture and Food Research","volume":"30 ","pages":"Article 103151"},"PeriodicalIF":7.2,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148844023","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Quantifying the carbon sequestration potential of sorghum and the effects of tillage on soil carbon dynamics using the SWAT-C model at the watershed scale in the Texas High Plains, USA","authors":"Temesgen Gashaw Tarkegn,&nbsp;Samiksha Ray,&nbsp;Gebrekidan Worku Tefera,&nbsp;Ram Lakhan Ray","doi":"10.1016/j.jafr.2026.103233","DOIUrl":"10.1016/j.jafr.2026.103233","url":null,"abstract":"<div><div>This study aimed to quantify the carbon sequestration potential of sorghum and assess tillage effects on Soil Organic Carbon (SOC) dynamics at the watershed scale in the Texas High Plains (USA) using the Soil and Water Assessment Tool-Carbon (SWAT-C) model. The model was configured using existing sorghum management practices, with conventional tillage as the baseline. Calibration (2016–2021) and validation (2022–2024) were conducted using a multisite approach in RSWAT, with monthly Soil Moisture Active Passive (SMAP) SOC data for two hydrologic response units representing sorghum and other agricultural land (AGRC). Conservation and zero tillage effects on SOC in sorghum fields were evaluated relative to conventional tillage. Model performance was satisfactory, with Percent Bias (PBIAS) &lt; 5.4%, Root Mean Square Error (RMSE) &lt; 2.83 t ha⁻¹ and Mean Absolute Error (MAE) &lt; 2.35 t ha⁻¹. Simulated long-term annual mean SOC closely agreed with SMAP-derived SOC. SOC stocks across sorghum, AGRC, shrubland, and grassland were compared using one-way analysis of variance (ANOVA), while tillage effects were evaluated using a linear mixed-effects model. Sorghum had the highest long-term (2016–2024) mean SOC (47.80 ± 16.29 t ha⁻¹), followed by AGRC (47.74 ± 15.48), shrubland (42.83 ± 19.62), and grassland (42.77 ± 19.76). Sorghum also showed better SOC, carbon sequestration, and total carbon stocks. Conservation and zero tillage generally increased SOC relative to conventional tillage, with conservation tillage showing the highest gains, although localized declines occurred. Overall, conservation tillage showed better potential to enhance carbon sequestration in sorghum fields, with spatially variable outcomes across the watershed.</div></div>","PeriodicalId":34393,"journal":{"name":"Journal of Agriculture and Food Research","volume":"30 ","pages":"Article 103233"},"PeriodicalIF":7.2,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148771731","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Machine learning-driven assessment of origin quality for the primary active ingredient in Gastrodia elata: towards precision cultivation","authors":"Jianan Li,&nbsp;Chuangxin Wang,&nbsp;Yang Yang,&nbsp;Tao Wang,&nbsp;Xue Yang,&nbsp;Chen Chen,&nbsp;Na Liu,&nbsp;Lingling Wang,&nbsp;Bo Wang","doi":"10.1016/j.jafr.2026.103228","DOIUrl":"10.1016/j.jafr.2026.103228","url":null,"abstract":"<div><div><em>Gastrodia elata</em> is a traditional and valuable Chinese medicinal herb that possesses both medicinal and edible properties; its clinical efficacy is significantly influenced by its quality. However, as cultivation expands, the quality of <em>G. elata</em> from different producing areas exhibits considerable variability. Therefore, a systematic evaluation of <em>G. elata</em> from different origins is essential for cultivating high-quality medicinal materials. This study innovatively integrates multi-source active ingredient data with environmental factors and employs a machine learning-SHAP analysis framework to explore the above scientific issues, thereby achieving precise quantification of factor contributions and spatial prediction of quality. The results indicate that the quality of wild <em>G. elata</em> surpasses that of cultivated varieties, with significantly higher levels of gastrodin, 4-Hydroxybenzyl alcohol, parishin A, and parishin B. Notably, 96% of cultivated <em>G. elata</em> meet the basic requirements outlined in the Chinese Pharmacopoeia, although the contents of effective components vary significantly across regions. Among these, 4-Hydroxybenzyl alcohol emerges as the most significant effective component for distinguishing <em>G. elata</em> from different origins, followed closely by gastrodin. Spatial distribution maps reveal that regions with high concentrations of gastrodin and 4-Hydroxybenzyl alcohol are predominantly located in the traditionally interconnected areas of eastern Sichuan, northeastern Yunnan, and western Guizhou. Furthermore, SHAP analysis identifies the mean temperature of the coldest quarter as the most critical determinant affecting its quality. This study not only confirms traditional knowledge but also uncovers new patterns, thereby providing important scientific evidence and data support for the standardized cultivation and systematic quality evaluation of <em>G. elata</em>.</div></div>","PeriodicalId":34393,"journal":{"name":"Journal of Agriculture and Food Research","volume":"30 ","pages":"Article 103228"},"PeriodicalIF":7.2,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148771763","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optimization of ultrasonic-assisted aqueous two-phase extraction for alfalfa flavonoids and effects of growth stage, cutting frequency and drying method on their composition and antioxidant capacity","authors":"Shuo Zhang,&nbsp;Tingting Jin,&nbsp;Shengnan Min,&nbsp;Changxiao Shi,&nbsp;Huili Wang,&nbsp;Hongliang Zhang,&nbsp;Siyu Zhang,&nbsp;Yingqi Li,&nbsp;Qi Huang,&nbsp;Peng Sun,&nbsp;Yang He,&nbsp;Huawei Su","doi":"10.1016/j.jafr.2026.103210","DOIUrl":"10.1016/j.jafr.2026.103210","url":null,"abstract":"<div><div>Alfalfa is an important source of flavonoids, yet efficient extraction and the effects of agronomic and post-harvest factors on flavonoid composition remain insufficiently understood. This study optimized ultrasonic-assisted aqueous two-phase extraction (UAATPE) of alfalfa flavonoids using response surface methodology (RSM) and further examined the effects of growth stage, cutting frequency, plant part, and drying method on flavonoid composition and antioxidant capacity. The optimal extraction conditions were 0.54 h, 74.77 °C, and a liquid-to-solid ratio of 71.31 g/g, which increased flavonoid yield by 14% relative to the initial conditions. LC-MS/MS analysis identified 42 flavonoid compounds, among which astragalin, apigenin, and kaempferol were the predominant components. Significant differences were observed among sample types and treatments: leaves generally showed higher flavonoid content and antioxidant capacity than stems and flowers; the budding stage showed more favorable performance than the other growth stages; first-cut alfalfa outperformed later cuts; and hot-air drying retained relatively higher flavonoid content and antioxidant capacity than the other drying methods evaluated. Overall, alfalfa leaves harvested at the budding stage from the first cuts and subjected to hot-air drying showed the most favorable overall performance. These findings provide scientific guidance for optimizing extraction conditions and selecting appropriate raw materials and processing methods for alfalfa flavonoid utilization.</div></div>","PeriodicalId":34393,"journal":{"name":"Journal of Agriculture and Food Research","volume":"30 ","pages":"Article 103210"},"PeriodicalIF":7.2,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148771765","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Structural characteristics, bioactivities, and gut microbiota regulation of flavonoid from Cassia obtusifolia L.: A multi-omics insight","authors":"Meng Wang,&nbsp;Jiahui Zeng,&nbsp;Hua Yang,&nbsp;Yebao Chen,&nbsp;Fangfang Ban,&nbsp;Siming Zhu,&nbsp;Yunping Peng,&nbsp;Junlin Wu","doi":"10.1016/j.jafr.2026.103225","DOIUrl":"10.1016/j.jafr.2026.103225","url":null,"abstract":"<div><div>This study is the first to establish a comprehensive “structure-bioactivity-microbiota” mechanistic framework for total flavonoids of <em>Cassia obtusifolia</em> L. (Designate it as CSAV), moving beyond conventional compositional screening to reveal structure-driven functional paradigms.​ Structural analysis revealed that CSAV was dominated by quercetin-3-O-sophoroside (340.59 μg/g)​ and chlorogenic acid (299.61 μg/g), along with hydroxygenkwanin and luteolin, and exhibited a hierarchical porous microstructure with a high specific surface area. <em>In vitro</em> assays demonstrated potent antioxidant activity, with ABTS (2,2′-azinobis-(3- ethylbenzothiazoline-6-sulfonic acid)) radical scavenging of 82.54% at 10 mg/mL​ and DPPH (2,2-diphenyl-1-picrylhydrazyl) scavenging increasing from 8.65% to 77.19% (2-10 mg/mL). CSAV also showed dose-dependent inhibition of α-glucosidase (44.23%-67.92%) and a threshold-type inhibition of α-amylase, reaching 64.64% at 10 mg/mL. Gut microbiota analysis showed that CSAV significantly increased the relative abundance of <em>Firmicutes</em> and <em>Actinobacteria</em> and maintained stable colonization of beneficial Short-Chain Fatty Acids (SCFA) producing genera such as <em>Bifidobacterium</em> and <em>Phascolarctobacterium</em>. Functional prediction indicated that CSAV enhanced carbohydrate degradation and short-chain fatty acid biosynthesis pathways. These findings demonstrate that CSAV possesses distinct structural features, notable antioxidant and hypoglycemic potential, and exerts prebiotic-like effects through selective modulation of gut microbiota and metabolic functions, providing a theoretical foundation for its development as a microbiota-regulating functional food ingredient.</div></div>","PeriodicalId":34393,"journal":{"name":"Journal of Agriculture and Food Research","volume":"30 ","pages":"Article 103225"},"PeriodicalIF":7.2,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148771766","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Purified polyphenols from Dendrobium officinale leaves alleviate D-galactose-induced oxidative-inflammatory imbalance associated with gut microbiota and short-chain fatty acid remodeling","authors":"Xiangdong Wang,&nbsp;Rong Huang,&nbsp;Guofeng Dong,&nbsp;Jiahao Pan,&nbsp;Bolu Sun,&nbsp;Wenbin Deng,&nbsp;Xiaodan Zhang,&nbsp;Dewei Huang,&nbsp;Yonggang Wang,&nbsp;Xiaojie Zheng","doi":"10.1016/j.jafr.2026.103191","DOIUrl":"10.1016/j.jafr.2026.103191","url":null,"abstract":"<div><div>Natural polyphenols have strong antioxidant and anti-inflammatory potential, but their low oral bioavailability means gut-mediated protective mechanisms need further clarification. <em>Dendrobium officinale</em> leaves are rich in polyphenols, and previous studies have suggested that their extracts may improve inflammation or metabolic disorders by regulating gut microbiota and short-chain fatty acid (SCFA) metabolism. However, the <em>in vivo</em> effects of purified <em>Dendrobium officinale</em> leaf polyphenols (DOLP) in a D-galactose-induced oxidative-inflammatory imbalance model remain insufficiently studied. This study characterized DOLP and investigated their effects on oxidative damage, inflammation, SCFA metabolism, and gut microbiota via <em>in vitro</em> assays and a D-gal-induced mouse model. DOLP was enriched in flavonoids and phenolic acids, mainly rutin and protocatechuic acid, with total polyphenols enriched from 3.82% to 69.2%, and exhibited stronger free radical-scavenging and α-glucosidase inhibitory activities than crude polyphenols. <em>In vivo</em>, DOLP partially restored normal body-weight gain, improved dyslipidemia and liver-function indices, reversed D-gal-induced reductions in acetate, propionate, butyrate, and valerate, increased <em>Dubosiella</em>, <em>Faecalibacterium</em>, <em>Agathobacter</em>, and <em>Lactobacillus crispatus</em>, and decreased <em>Streptococcus</em>, <em>Bacillus</em>, <em>Clostridium</em> sensu stricto 1, and <em>Dolosigranulum</em>. Integrative correlation analysis and random forest screening linked gut microbiota, SCFAs, and oxidative-inflammatory phenotypes, while GEO transcriptomic mining, network analysis, molecular docking, and ADMET prediction suggested interactions of rutin, vitexin, and quercetin-3-O-glucoside with SOD1 and GPX4. This study provides an integrated framework for understanding the gut-associated effects of DOLP, supporting development as food-derived functional ingredients. However, as causal validation experiments (e.g., fecal microbiota transplantation, antibiotic depletion, or SCFA intervention) were not performed, the microbiota-SCFA-host axis remains correlative, not causal.</div></div>","PeriodicalId":34393,"journal":{"name":"Journal of Agriculture and Food Research","volume":"30 ","pages":"Article 103191"},"PeriodicalIF":7.2,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148739299","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Short-term soil and crop responses to ecologically intensified organic grain cropping systems in the Midwestern United States","authors":"Krista Zapata,&nbsp;Tatiane Severo,&nbsp;Christian Krupke,&nbsp;Shawn Conley,&nbsp;Pavani Ganju,&nbsp;Benjamin Goller,&nbsp;Yichao Rui","doi":"10.1016/j.jafr.2026.103199","DOIUrl":"10.1016/j.jafr.2026.103199","url":null,"abstract":"<div><div>Organic grain production continues to expand in the Midwestern United States but faces management constraints such as frequent tillage and limited cover cropping that may restrict soil health benefits. It remains unclear whether organic systems integrating reduced tillage, extended cover cropping, and biological seed treatments can improve soil function while maintaining nitrogen (N) availability, crop nutrient uptake, and productivity. This study utilized field experiments in Indiana and Wisconsin to compare a Standard Organic system (frequent tillage, limited cover crops) with an Eco-Intensive Organic system (reduced tillage, extended cover crops, and seed-applied N-fixing inoculants), and assessed short-term soil and crop responses to the Eco-Intensive Organic system during its first two years of establishment. Soil samples (0–15 and 15–30 cm) were collected at early, mid, and late stages of the growing season and analyzed for biological soil health indicators and N availability, alongside measurements of leaf N and crop yield. The Eco-Intensive Organic system had limited effects on measured biological soil health indicators during the first two years following system implementation. In contrast, soil nitrate content was generally 20–100% higher in the Standard Organic system, which coincided with 6–22% greater crop leaf N concentration and crop yield (in three of four site-years). The positive relationships between crop yield, leaf N, and soil nitrate, along with weak relationships with measured biological soil health indicators, suggest that short-term productivity was more closely associated with soil N availability than with the measured biological soil health indicators. Overall, these findings highlight the challenge of balancing short-term crop productivity with long-term soil health goals and underscore the need for integrated nutrient management to improve the overall performance of ecologically intensified organic grain cropping systems.</div></div>","PeriodicalId":34393,"journal":{"name":"Journal of Agriculture and Food Research","volume":"30 ","pages":"Article 103199"},"PeriodicalIF":7.2,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148739304","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Indian lychee honey mitigates hepatic lipotoxicity via FAM134B-mediated reticulo-mito-phagy in MASLD","authors":"Chandrachur Ghosh,&nbsp;Tathagata Kundu,&nbsp;Tiyasa Pathak,&nbsp;Somsuvra Chatterjee,&nbsp;Prabhat Kumar,&nbsp;Debabrata Sircar,&nbsp;Partha Roy","doi":"10.1016/j.jafr.2026.103092","DOIUrl":"10.1016/j.jafr.2026.103092","url":null,"abstract":"<div><h3>Background</h3><div>Metabolic dysfunction-associated steatotic liver disease (MASLD) involves hepatic lipid accumulation and disrupted organelle homeostasis. Indian lychee honey was investigated for its potential to alleviate this lipotoxicity.</div></div><div><h3>Purpose</h3><div>This study aimed to elucidate the therapeutic mechanisms of lychee honey, focusing on organelle crosstalk and autophagic processes in MASLD.</div></div><div><h3>Study design</h3><div>The study combined <em>in vivo</em> and <em>in vitro</em> models. A high-fat diet (HFD)-induced MASLD mouse model was used for primary assessment. Complementary <em>in vitro</em> experiments employed pharmacological agents- and/or siRNA-mediated induction or inhibition of endoplasmic reticulum (ER)-phagy and fatty acid oxidation to confirm the mechanistic pathways.</div></div><div><h3>Methods</h3><div>C57BL/6 mice were fed an HFD to induce MASLD and subsequently treated with lychee honey. <em>In vitro</em> models involved treating HepG2 or BRL3A cells with pharmacological inducers of ER stress and inhibitors of fatty acid oxidation and ER-phagy alongside lychee honey treatment. Analyses included assessment of lipid droplet size, measurement of mitochondria-ER contact sites (MERCSs) proximity, evaluation of oxidative stress and inflammatory markers, and confirmation of reticulo-mito-phagy activation.</div></div><div><h3>Results</h3><div>Lychee honey treatment significantly reduced hepatic lipid content by enhancing fatty acid oxidation. This restored the physical and functional integrity of MERCSs, improving inter-organelle (ER and mitochondria) communication. Consequently, lychee honey activated coordinated reticulo-mito-phagy, clearing damaged mitochondria (mitoplasts), which mitigated ER stress, oxidative stress, and inflammation. <em>In vitro</em> studies confirmed that lychee honey's benefits are directly dependent on fatty acid oxidation activation.</div></div><div><h3>Conclusion</h3><div>Lychee honey alleviates MASLD by enhancing fatty acid oxidation, restoring MERCSs, and promoting FAM134B-mediated reticulo-mito-phagy. These effects mitigate lipotoxicity and maintain organelle homeostasis, supporting its potential as a nutraceutical intervention for metabolic disorders.</div></div>","PeriodicalId":34393,"journal":{"name":"Journal of Agriculture and Food Research","volume":"29 ","pages":"Article 103092"},"PeriodicalIF":7.2,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148499975","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Antimicrobial resistance as a potential gateway to cross-protection against food-related stressors in Salmonella enterica","authors":"Raúl Campillo,&nbsp;Ivo García-Penas,&nbsp;Daniel Berdejo,&nbsp;Diego García-Gonzalo,&nbsp;Rafael Pagán","doi":"10.1016/j.jafr.2026.103114","DOIUrl":"10.1016/j.jafr.2026.103114","url":null,"abstract":"<div><div>Antimicrobial resistance (AMR) remains a serious public health risk. Agri-food environmental stressors, including biocides and food preservation processes, are increasingly suggested to be fueling AMR due to cross-protections across the farm-to-fork continuum. While cross-protection against antibiotics has been extensively studied in strains tolerant to biocides and food preservation methods, the reverse scenario remains poorly explored. To date, studies assessing tolerance of AMR bacteria to agri-food stressors have often yielded limited or inconclusive results, despite evidence of positive correlations.</div><div>In this review, we compile representative antimicrobial resistance genes (ARGs) identified in <em>Salmonella enterica</em> that are acquired via horizontal gene transfer (HGT) or arise through chromosomal mutations following adaptive laboratory evolution (ALE) with antibiotics. Importantly, HGT typically introduces narrow-spectrum resistance determinants, which may rarely confer protection to physical or environmental stressors, whereas vertically acquired mutations frequently affect global regulators, metabolic pathways, bacterial fitness or efflux systems with pleiotropic effects on stress tolerance. Consistent with this framework, we identify ARGs and mutations associated with AMR that are also implicated in adaptation to agri-food environmental biocides (<em>acrB</em>, <em>ramR</em>, <em>dksA</em>, <em>soxR</em>) and food preservation methods (<em>ramR</em>, <em>cyaA</em>, <em>gyrA</em>, RNA polymerase-encoding genes).</div><div>Overall, the available evidence supports plausible links between AMR-associated adaptations and cross-protection against selected food-related stressors, reducing the efficacy of certain microbial control strategies. However, evidence is heterogeneous, often strain- and food matrix-specific, and causal links are not always demonstrated.</div></div>","PeriodicalId":34393,"journal":{"name":"Journal of Agriculture and Food Research","volume":"29 ","pages":"Article 103114"},"PeriodicalIF":7.2,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148500034","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}