Omics approaches in understanding the benefits of plant-microbe interactions

Frontiers in Microbiology, Год журнала: 2024, Номер 15

Опубликована: Май 27, 2024

Plant-microbe interactions are pivotal for ecosystem dynamics and sustainable agriculture, influenced by various factors, such as host characteristics, environmental conditions, human activities. Omics technologies, including genomics, transcriptomics, proteomics, metabolomics, have revolutionized our understanding of these interactions. Genomics elucidates key genes, transcriptomics reveals gene expression dynamics, proteomics identifies essential proteins, metabolomics profiles small molecules, thereby offering a holistic perspective. This review synthesizes diverse microbial-plant interactions, showcasing the application omics in mechanisms, nitrogen fixation, systemic resistance induction, mycorrhizal association, pathogen-host Despite challenges data integration ethical considerations, approaches promise advancements precision intervention resilient agricultural practices. Future research should address challenges, enhance technology resolution, explore epigenomics, understand plant-microbe under conditions. In conclusion, technologies hold immense optimizing strategies fortifying alliances, paving way agriculture stewardship.

Язык: Английский

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Global insights and advances in edible coatings or films toward quality maintenance and reduced postharvest losses of fruit and vegetables: An updated review

Comprehensive Reviews in Food Science and Food Safety, Год журнала: 2025, Номер 24(1)

Опубликована: Янв. 1, 2025

Abstract Transitioning to safe, nonthermal, and edible strategies for maintaining fruit vegetable (F&V) quality, reducing postharvest losses (up 55% annually), ensuring food security requires extensive research innovation in technologies. This review aims provide an updated understanding of coatings or films (ECF), focusing on their role F&V losses, based data from the last 40 years retrieved Web Science database. The global ECF network is represented by publication trends, majorly researched F&V, key areas, influential emerging authors, ranking. preserving quality has been assessed examining critical parameters, including weight loss, total soluble solids, titratable acidity, ripening, softening, sensory organoleptic characteristics, browning, chilling injury, microbial safety. Furthermore, recent advancements formulations, nanoscale ingredients application methodologies, have critically discussed. Sources, categorization, strategies, mode action, functional properties, sustainable development goals (SDGs), challenges, safety, legislations, future perspectives also findings indicate that China (20.34%) USA (9.94%) are leading countries research. Studies demonstrated ECF's potential parameters through advanced compositions methodologies. Notably, supports multiple SDG targets, SDGs 2, 3, 8, 9, 12, 13, 15. Future should explore 3D‐printed coatings, nonflavor‐altering components, crosslinking agents enhance reduce losses.

Язык: Английский

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The possible inhibition mechanism of low salt dry-curing on volatile flavor deterioration in refrigerated grass carp (Ctenopharyngodon idella) blocks: Metabolomics and microorganisms

Food Chemistry, Год журнала: 2024, Номер 463, С. 141087 - 141087

Опубликована: Сен. 1, 2024

Язык: Английский

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A review of genetic resources and trends of omics applications in donkey research: focus on China

Frontiers in Veterinary Science, Год журнала: 2024, Номер 11

Опубликована: Окт. 11, 2024

Omics methodologies, such as genomics, transcriptomics, proteomics, metabolomics, lipidomics and microbiomics, have revolutionized biological research by allowing comprehensive molecular analysis in livestock animals. However, despite being widely used various animal species, on donkeys has been notably scarce. China, renowned for its rich history donkey husbandry, plays a pivotal role their conservation utilization. China boasts 24 distinct breeds, necessitating efforts, especially smaller breeds facing extinction threats. So far, omics approaches employed studies of milk meat, shedding light composition quality. Similarly, methods utilized to explore the basis associated with growth, meat production, quality traits. also unraveled critical microbiota health nutrition, gut microbiome revealing associations factors pregnancy, age, transportation stress, altitude. Furthermore, applications addressed issues, including infectious diseases reproductive problems. In addition, these provided insights into improvement efficiency research. conclusion, methodologies are essential advancing knowledge about donkeys, genetic diversity, across domains. is still infancy, there need continued enhance breeding, welfare beyond.

Язык: Английский

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Spectroscopy food functionality and safety

Advances in food and nutrition research, Год журнала: 2025, Номер unknown

Опубликована: Янв. 1, 2025

Язык: Английский

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DIAGNOSIS AND CONTROL OF BRUCELLOSIS THROUGH FOOD: THE CONTRIBUTION OF OMICS SCIENCES

Microbial Pathogenesis, Год журнала: 2025, Номер unknown, С. 107434 - 107434

Опубликована: Март 1, 2025

Язык: Английский

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Food Freshness Prediction Platform Utilizing Deep Learning-Based Multimodal Sensor Fusion of Volatile Organic Compounds and Moisture Distribution

ACS Sensors, Год журнала: 2025, Номер unknown

Опубликована: Март 23, 2025

Various sensing methods have been developed for food spoilage research, but in practical applications, the accuracy of these is frequently constrained by limitation single-source data and challenges cross-validating multimodal data. To address issues, a new method combining multidimensional technology with deep learning-based dynamic fusion has developed, which can precisely monitor process beef. This study designs gas sensor based on surface-enhanced Raman scattering (SERS) to directly analyze volatile organic compounds (VOCs) adsorbed MIL-101(Cr) amine-specific adsorption collection while also evaluating moisture distribution beef through low-field nuclear magnetic resonance (LF-NMR), providing recognition readings. By introducing self-attention mechanism SENet scaling features into learning model, system able adaptively fuse focus important sensors. After training, predict storage time under controlled conditions, an R2 value greater than 0.98. Furthermore, it provide accurate freshness assessments samples unknown conditions. Relative single-modality methods, improves from 90 over 97%. Overall, newly model effectively integrates information, enabling fast reliable monitoring freshness.

Язык: Английский

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Management of urban manufacturing byproducts: food circular economy and safety aspects

CyTA - Journal of Food, Год журнала: 2025, Номер 23(1)

Опубликована: Март 25, 2025

Язык: Английский

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Data fusion of elemental and metabolic fingerprints of asparagus with random forest approaches

Analytica Chimica Acta, Год журнала: 2025, Номер unknown, С. 344006 - 344006

Опубликована: Апрель 1, 2025

Язык: Английский

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Insights into the Metabolite Profiles of Two Camellia (Theaceae) Species in Yunnan Province through Metabolomic and Transcriptomic Analysis

Опубликована: Июль 29, 2024

Tea (Camellia L.) falls into the family Theaceae, is a valuable commercial crop, and tea products made from its buds young leaves are favored by consumers all over world. The more common Thea plant Camellia sinensis (C. sinensis), but most important relative, taliensis taliensis), also utilized locals in area of cultivation to manufacture tea. In this investigation, C. (DL) (QJZ) were characterized terms their agronomic traits, physicochemical indices, metabolomics, transcriptomics. leaf DL larger than that QJZ; color DL’s yellowish-green, while QJZ’s green. densely velvety those QJZ. HPLC results indicated contents varied considerably between two samples, with having greater concentrations EGCG GABA QJZ, QJZ had remarkably higher C, CA, EGC DL. A total 2269 metabolites 362,190,414 genes positively identified, number DAMs DEGs being 1001 34,026, respectively. flavonoids, phenolic acids, alkaloid dramatically different group plants. Bioinformatics profiling revealed plants interacted each other involved metabolic pathways including “biosynthesis secondary metabolites”, amino acids”, cofactors”, “phenylpropanoid biosynthesis”, “flavonoid biosynthesis”. Overall, these provide statistical support for germplasm conservation production both sinensis.

Язык: Английский

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