Zinc Oxide Nanoparticles in the “Soil–Bacterial Community–Plant” System: Impact on the Stability of Soil Ecosystems

Agronomy, Journal Year: 2024, Volume and Issue: 14(7), P. 1588 - 1588

Published: July 21, 2024

The use of man-made nanoparticles (NPs) has increased exponentially in recent years, many which accumulate significant quantities soil, including through agriculture as nanofertilizers and nanopesticides. ZnO NPs are more environmentally friendly but have specific antimicrobial activity, can affect soil microbiota, thereby influencing key microbial processes such mineralization, nitrogen fixation plant growth-promoting activities. Their behavior persistence depend on their chemical nature characteristics. This review summarizes the applications systems effects various plants microorganisms, particularly rhizobacteria that promote growth. A stimulating effect morphometric biochemical characteristics plants, well microbiota its activity at relatively low concentrations up to 500 mg/mL 250 mg/kg, respectively, is observed. As concentration increases above these limits, toxic appear. different related size, dose, duration exposure, solubility water, type, acidity organic matter content. substantiates need study “soil-plant-microbiota” system for possibility using nanotechnologies agricultural industry ensuring safety products.

Language: Английский

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More than a meat- or synthetic nitrogen fertiliser-substitute: a review of legume phytochemicals as drivers of ‘One Health’ via their influence on the functional diversity of soil- and gut-microbes

Frontiers in Plant Science, Journal Year: 2024, Volume and Issue: 15

Published: Feb. 21, 2024

Legumes are essential to healthy agroecosystems, with a rich phytochemical content that impacts overall human and animal well-being environmental sustainability. While these phytochemicals can have both positive negative effects, legumes traditionally been bred produce genotypes lower levels of certain plant phytochemicals, specifically those commonly termed as ‘antifeedants’ including phenolic compounds, saponins, alkaloids, tannins, raffinose family oligosaccharides (RFOs). However, when incorporated into balanced diet, such legume offer health benefits for humans animals. They positively influence the gut microbiome by promoting growth beneficial bacteria, contributing health, demonstrating anti-inflammatory antioxidant properties. Beyond their nutritional value, also play vital role in soil health. The containing residues from shoots roots usually remain in-field affect nutrient status diversity, so enhancing functions benefiting performance yield following crops. This review explores ‘one health’ perspective, examining on soil- gut-microbial ecology, bridging gap between nutrition agroecological science.

Language: Английский

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Soil, rhizosphere, and root microbiome in kiwifruit vine decline, an emerging multifactorial disease

Frontiers in Microbiology, Journal Year: 2024, Volume and Issue: 15

Published: March 21, 2024

Kiwifruit vine decline syndrome (KVDS) is characterized by severe root system impairment, which leads to irreversible wilting of the canopy. Plants usually collapse rapidly from appearance first aboveground symptoms, without recovery even in following seasons. The has been negatively impacting kiwifruit yield different areas Italy, main producing European country, since its outbreak 2012. To date, a unique, common causal factor yet be found, and referred as multifactorial. In this article, we investigated whole biotic community (fungi, bacteria, oomycetes) associated with development KVDS three belowground matrices/compartments (soil, rhizosphere, root). Sampling was performed at both healthy affected sites located kiwifruit-producing area Northwestern Italy. address multifactorial nature investigate potential roles abiotic factors shaping these communities, physicochemical analysis soils also performed. This study investigates associations among taxonomic groups composing microbiome between factors. Dysbiosis considered driving event microbial communities. results obtained highlight role oomycete genus Phytopythium , resulted predominantly composition diseased matrices, though it present ones. Both bacterial fungal communities high richness genera were highly correlated sampling site matrix, underlining importance multiple location geographically spatially. rhizosphere driven dysbiotic process. addition, association network revealed presence cross-kingdom competition for plant-derived carbon saprobes, oomycetes, bacteria.

Language: Английский

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Using Brown Algae in the Plant–Soil System: A Sustainable Approach to Improving the Yield and Quality of Agricultural Crops

Horticulturae, Journal Year: 2025, Volume and Issue: 11(1), P. 94 - 94

Published: Jan. 16, 2025

The growing demand for food production and increasing stress scenarios increase the crucial need sustainable alternatives to achieve increased crop yield quality without affecting environment. use of brown macroalgae, being a renewable resource, is promising option with various application options in agricultural systems, mainly form extracts, direct applications, compost. Brown algae are source active biomolecules minerals that currently used as biostimulants, since they productivity. This type biostimulants derived from improve seed germination, accumulation plant biomass by accelerating cell division elongation, activating antioxidant system plants, making them more resistant stress, contributes absorption translocation nutrients present soil. These products also compatible other inputs, such synthetic fertilizers pesticides, which makes ideal comprehensive applications maintaining balance agroecosystems. review incorporates fundamental applied aspects seaweeds impact yields, biochemical quality, physiology, mitigation, soil properties. Based on above, divided into different Sections show formulation seaweed products; their effect yield, physiology; biotic abiotic mitigation; physical, chemical, biological

Language: Английский

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Biodiversity-friendly practices to support urban nature across ecosystem levels in green areas at different scales

Urban forestry & urban greening, Journal Year: 2025, Volume and Issue: unknown, P. 128682 - 128682

Published: Jan. 1, 2025

Language: Английский

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Biodegradable hydrogels and microbial consortia as a treatment for soil dysbiosis

Frontiers in Microbiology, Journal Year: 2025, Volume and Issue: 16

Published: May 1, 2025

Terrestrial microbial communities drive many soil processes and can be pushed into a state of dysbiosis upon disturbance. This dysregulation negatively impacts biogeochemical cycles, which threatens plant health. Effective treatment requires simultaneous restoration multiple system components, addressing both the physical structure its communities. Hydrogels with consortia simultaneously remedy hydrodynamics while promoting reestablishment. The purpose this review is to shed light on management practices through lens dysbiosis. important address not only for health crop productivity, but also mitigate climate change improved carbon sequestration reduced greenhouse gas emissions. positions hydrogels microbes as tools dysbiosis, contributing agricultural resilience.

Language: Английский

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Topological change of soil microbiota networks for forest resilience under global warming

Physics of Life Reviews, Journal Year: 2024, Volume and Issue: 50, P. 228 - 251

Published: Aug. 8, 2024

Language: Английский

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Plant–microorganism–soil interaction under long-term low-dose ionizing radiation

Frontiers in Microbiology, Journal Year: 2024, Volume and Issue: 14

Published: Jan. 11, 2024

As the environmental nuclear radiation pollution caused by nuclear-contaminated water discharge and other factors intensifies, more plant–microorganism–soil systems will be under long-term low-dose ionizing (LLR). However, regulatory mechanisms of system LLR are still unclear. In this study, we study a that has been stably exposed to for 10 years investigate response based on decay absorbed dose rate with distance. The results show affects carbon nitrogen migration process between through “symbiotic microbial effect.” increase in intensity led significant relative abundance symbiotic fungi, such as Ectomycorrhizal fungi Rhizobiales, which is accompanied soil lignin peroxidase (LiP) activity, C/N ratio, C%. Meanwhile, enhanced causes adaptive changes plant functional traits. This demonstrates effect” an important terrestrial ecosystems LLR.

Language: Английский

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Attribution of dispersal limitation can better explain the assembly patterns of plant microbiota

Frontiers in Plant Science, Journal Year: 2023, Volume and Issue: 14

Published: Oct. 24, 2023

Disentangling community assembly processes is crucial for fully understanding the function of microbiota in agricultural ecosystems. However, numerous plant microbiome surveys have gradually revealed that stochastic dominate endophytic root conflict with strong host filtering effects, which an important issue. Resolving such conflicts or inconsistencies will not only help accurately predict composition and structure its driving mechanisms, but also provide guidance on correlation between relative importance deterministic microbiota, crop productivity nutritional quality. Here, we propose inappropriate division dispersal limitation may be main reason inconsistency, can resolved after proportion incorporated into processes. The rationality this adjustment under framework formation a holobiont herein explained, potential theoretical dynamic patterns along soil–plant continuum proposed. Considering complicated, suggest caution level-by-level verification from to neutral components when deciding attribution future promote expansion application engineering sustainable development based patterns.

Language: Английский

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Synergistic integration of remote sensing and soil metagenomics data: advancing precision agriculture through interdisciplinary approaches

Frontiers in Sustainable Food Systems, Journal Year: 2025, Volume and Issue: 8

Published: Jan. 6, 2025

The global demand for food is driving the need high-performance, sustainable agricultural systems that incorporate advanced technologies monitoring, control, and decision-making. With population expected to reach 9.7 billion by 2050, agriculture must boost productivity while maintaining sustainability. Precision (PA) addresses this challenge using increase yields, reduce resource waste, minimize environmental impacts (Gebbers Adamchuk, 2010; Delgado, Sassenrath Mueller, 2020; El-Kader El-Basioni, 2020). This "fourth revolution" reshaping farming through innovations in data analytics, communication, technology (Mohindru et al., 2021; Abdel-Basset, Hawash Abdel-Fatah, 2024).A key aspect of soil microbiome, especially rhizosphere, which promotes health crop resilience reducing harm. Next-generation sequencing (NGS) techniques, such as amplicon shotgun metagenomics, provide deep insights into microbial communities, their diversity, functional roles. These tools are vital monitoring interventions, identifying beneficial microbes, detecting pathogens early prevent diseases (Elnahal 2022).Understanding physical, biological, chemical characteristics crucial optimizing management practices irrigation, drainage, nutrient management—key components PA. integration like artificial intelligence (AI), remote sensing, unmanned aerial vehicles (UAVs), big Internet Things (IoT), Global Positioning system (GPS), Geographic Information Systems (GIS) enables precise spatial variability fields. UAVs, with high resolution flexibility, have revolutionized offering real-time collection from difficult-to-reach areas (Boursianis 2022).Integrating UAV-based sensing metagenomics represents a transformative step forward PA ecosystem restoration. fusion these not only enhances improving efficiency but also aligns broader objectives agriculture, impact minimizing inputs fostering healthier, more resilient ecosystems. As evolve become cost-effective accessible, will likely standard practice modern widespread adoption promoting future production. We review current advancements both fields, propose methods integrating microbiome profiles, present framework implementing integrated approach optimize precision farming.Soil MetagenomicsSoil diverse environment, home billions microorganisms. Enhancing can 10-50%, plant growth-promoting rise 50-60% (Abram, 2015; O'Callaghan, Ballard Wright, 2022). reduces reliance on fertilizers, supporting agriculture. Metagenomics, sequences analyzes DNA, reveals diversity aids discovering therapeutic molecules, biotechnological innovations, Garrido-Oter 2018). It offers community structures, including bacteria, archaea, eukaryotes, based gene composition (Philippot 2013; Martínez-Porchas Vargas-Albores, 2017). workflow be discussed detail further.Soil sampling, library preparation sequencing: Metagenomic studies involve collecting samples, particularly where microbes root secretions interact (Weaver 1994; Brooks 2015). Total DNA extracted samples kits Genejet Soil Kit (Thermo Fisher) or Fast SPIN (MP Biochemicals). then enzymatically fragmented Nextera Tagmentation (Illumina) Fragmentase (New England Biolabs), alternative acoustic shearing, sonication, others (N. Sabale, P. Suryawanshi Krishnaraj, concentration purity measured Qubit Nanodrop, integrity assessed via agarose gel electrophoresis Agilent TapeStation. fragments cloned bacterial plasmids, featuring elements an origin replication, restriction sites, selective markers, cloning sites (Granjou Phillips, 2019). Fragments analyzed fragment analyzer quality quantity. Sequencing conducted platforms Illumina, Pyrosequencing, Nanopore, PacBio. Post-sequencing, de-multiplexed (Martin, 2011; Oulas Mahmoud 2019; Zhang 2021).Data processing: Pre-processing begins control filter out low-quality reads remove adapter sequences. Tools UCHIME, MG-RAST, RDP (Bolger, Lohse Usadel, 2014), KTrim, Trim Galore, Trimmomatic (Sun, 2020) utilized tasks, ensuring trimmed uniform length quality. Following trimming, further filtered exclude below specified thresholds, errors corrected polymerase chain reaction (PCR) duplicates removed enhance accuracy. Denoising metagenomic achieved MOTHUR QIIME 2, UCHIME used eliminating chimeric (Santamaria Post-processing involves grouping unique barcodes, removing primers, employing Taxator-tk (Dröge, Gregor McHardy, 2015) MEGAHIT (Liu taxonomic classification. Recent de novo assemblers Meta-IDBA, metaSPAdes, Ray Meta, Contig Extender allow assembly contigs, novel genomes without prior reference (Peng Boisvert 2012; Kumar 2018; Deng Delwart, 2021). Subsequently, aligned databases assembled contigs comprehensive analysis, facilitating robust interpretation data.Data Analysis interpretation: processing forms basis profiling, essential understanding communities soil. Krona, MEGAN, phyloseq R visualize abundance (Huson 2007; Ondov, Bergman Phillippy, McMurdie Holmes, 2013). Functional analysis prediction Prodigal MetaGeneMark, followed annotation KEGG, COG, Pfam eggNOG-mapper InterProScan (Hyatt Zhu, Lomsadze Borodovsky, 2010). Pathway reconstruction KEGG MetaCyc HUMAnN2 (Franzosa 2018) PathoScope (Hong capabilities predicted PICRUSt, Tax4Fun (Langille Sun, Jones Fodor, Statistical analyses, DESeq2, edgeR, PCA, NMDS, identify differential taxa functions. Integration data, along network ecological models, explores interactions roles (Robinson, McCarthy Smyth, 2010).Nutrient plan: Common species isolated rhizosphere approaches include Firmicutes, Bacteroidetes, Proteobacteria, Actinobacteria, (Babalola, Santos, Nogueira Hungria, Prasad Zhang, Table 1 highlights By fix nitrogen solubilize phosphorus, farmers synthetic enhancing productivity, profits, sustainability (Mendes, Garbeva Raaijmakers, Enzymes sulfatases, dehydrogenases, phosphatases improve fertility, growth, yield, pesticide use Metagenomics supports development biofertilizers inoculants alternatives traditional remediation 2013, 2024). Several demonstrated economic advantages For instance, recurrent pre-sowing applications Pseudomonas fluorescens significantly boosted maize costly fertilizers (Papin al. Investigations microbiota responses nitric oxide regulation Arabidopsis thaliana highlight potential optimized plant-microbe (Berger Moreover, trials affordable solutions underscored role security conventional (van der Velde 2013).Remote sensingThe appropriate spatio-temporal required depends various factors, objectives, field size, capability farm equipment vary input (irrigation, fertilizer, pesticide, etc.) application rates. While variety sensors, paper limits itself those primarily UAV image (Shafi UAVs transforming precise, efficient, practices. They help conserving resources, eco-friendly predict 2025, industry would at compound annual growth rate 35.9% $5.7 (Agriculture Drones Market, no date).Drones cameras: Aerial drones generally higher (<5 meters) images compared satellites (Bochtis, Tagarakis Kateris, 2023). Thus, other ground-based offer greater flexibility providing fine temporal resolutions (more frequently) needed. hydrologic climatic parameters—such organic carbon, moisture, characteristics, normalized Difference Vegetation Index (NDVI), leaf area index (LAI), groundwater, rainfall—as well vegetation monitored (UAVs) (Zhang Equipped perform specialized tasks: multispectral sensors capture specific light wavelengths, thermal cameras detect temperature changes irrigation pest issues, LIDAR creates detailed topographic maps land water (Maddikunta Tahir However, drone varies due differing legal, financial, physical conditions across countries. Supplementary S1 lists recognized improved management, compliance safety operational standards respective aviation authorities.Data Pre-processing: Data preprocessing IoT creating dataset. Decagon EC-5 soil, Davis Vantage Pro2 weather, GreenSeeker crops, gather temperature, pH, nutrients, climate, (García Fuentes Chang, S2 employed emphasizing importance enabling real-time, data-driven solutions. Connectivity networks LoRaWAN, NB-IoT, 5G transmit gateways Kerlink Wirnet Station. Flight planning software DJI Ground Station Pro Phantom 4 RTK (Križanović 2023), georeferencing stitching Agisoft Metashape. Noise reduction Pix4Dmapper quality, cloud computing secure storage (Debauche 2022).Data Analytics AI: widely adopted power AI, driven machine learning (ML) (DL) (Khan, Khan Ansari, 2022; Ojo Zahid, Hashmi Kesakr, ML models analyze UAV-captured images, AI-enabled sensor recommendations farmers. Machine Support Vector Machines (SVM) Random Forests were applied drying patterns (Liakos Sharma Models utilizing Decision Trees Neural Networks created pH fertility (Suchithra Pai, 2020), Multiple Linear Regression (MLR) (SVR) estimate Organic Matter (SOM) paddy soils (Yang Partial Least Squares (PLSR) was moisture content (MC), total (TN), carbon (SOC) (Morellos 2016). estimated combining Auto-Regressive Error Function (AREF) Gradient Boosting k-Nearest Neighbors (k-NN) (Johann Extreme Learning (ELM) Self-Adaptive Evolutionary agent (SaE) assess (Nahvi 2016), ELM forecast surface humidity (Acar, Ozerdem Ustundag, Lastly, SVM SOC TN Moroccan (Reda recognition techniques seed sorting counting (Li Nehoshtan Laudari, Marks Rognon, Ekramirad Deep Learning, Convolutional (CNNs), disease detection, allowing rapid accurate diagnosis, loss (Mohanty, Hughes Salathé, 2016; Ramcharan 2017; (Too Argüeso processes planting, fertilization, productivity. 2 parameters detected showcasing research. AI refine recommending amounts water, pesticides, waste impact. simulate different scenarios, helping select most effective strategies (Marvuglia 2022).Actionable Insights: Complex simplified actionable farmers, delivered mobile apps dashboards, updates, visualizations, alerts. receive notifications about outbreaks suggested treatments alerts sudden drops advice. Farmers implement feedback, helps system's accuracy relevance over time. feedback loop, combined adaptive learning, predictive growing seasons. benefits operations increased yields timely efficient allocation. empowers make informed decisions, boosting profitability, agriculture.Integrating AgricultureVarious Remote been monitor biodiversity landscapes (Herzog Franklin, Lewin combination exascale computing, multi-omics biology research UN's Sustainable Development Goals (Streich Cembrowska-Lech Integrating imaging links dynamics (Beatty Singer Soil-plant-microbiota interactions, health, emphasized (Giovannetti Dlamini, Sekhohola-Dlamini Cowan, (Meena 2024; Zeng 2024), AI-driven advance forest cycling, drought tolerance crops (Chaudhury Jamil Additionally, omics phytoremediation outcomes (Mohan illustrated Figure 1, it clear promote datasets within interdisciplinary promising pathway forward, poses significant challenges complexity harmonizing scales, complexities, requiring multivariate statistical network-based Ensuring model interpretability another hurdle, many AI/ML function "black boxes," complicating biological limiting trust predictions. Overfitting, common issue ML, undermines generalizability automating uncovering non-linear collaboration demanding tasks require expertise innovation. Addressing leveraging full agriculture.Future DirectionThe hinges integrates Omics all grounded One Health concept, emphasizes interconnectedness human, plant, health. Collaboration among experts molecular biology, microbiology, ecology, bioinformatics, computer science managing complex datasets, efficiency, farming. In-field drones, (e.g., Oxford Nanopore's MinION) enable immediate conditions, delivering directly mobile-friendly, easy-to-understand reports. advances promise low-intervention, automated sophisticated algorithms process instantly, use, respond real time, yields. Despite around complexity, technical expertise, integration, privacy, security, cost limitations, technology-driven holds sustainability, system.

Language: Английский

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