Sustainable Soil Volatilome: Discrimination of Land Uses Through GC-MS-Identified Volatile Organic Compounds DOI Creative Commons
Emoke Dalma Kovacs, Teodor Rusu,

Melinda Haydee Kovacs

и другие.

Separations, Год журнала: 2025, Номер 12(4), С. 92 - 92

Опубликована: Апрель 8, 2025

This study investigates soil volatilomics as an innovative approach to assessing the impact of land use on quality. research addresses critical need for sensitive diagnostic tools distinguish subtle biochemical variations in soils influenced by different management practices. Soil samples were collected along a transect Cluj County. Their volatile organic compounds extracted headspace solid-phase microextraction (HS–SPME) followed gas chromatography–mass spectrometry (GC–MS) analysis. A multivariate statistical method was used differentiate volatilome profile. Among 106 detected compounds, oxygenated species dominated across all uses, with highest concentrations forest (77%), grasslands (71%) and agricultural (65%). Principal component analysis revealed distinct clustering patterns, first two components explaining 72.8% total variance (PC1: 41.7%, PC2: 31.1%). Supervised PLS-DA modeling demonstrated robust discrimination, achieving AUC values 0.868 versus comparisons 0.810 both grassland comparisons. The diversity indicated that contained number (64), closely (63), while showed reduced (51). These key findings signatures, exhibiting complexity demonstrating more homogeneous profile, whereas presented high internal variability. results underscore potential profiling indicator effects processes support utility sustainable ecosystem monitoring.

Язык: Английский

Microbiome Engineering for Sustainable Rice Production: Strategies for Biofertilization, Stress Tolerance, and Climate Resilience DOI Creative Commons

Israt Jahan Misu,

Md. Omar Kayess, Md. Nurealam Siddiqui

и другие.

Microorganisms, Год журнала: 2025, Номер 13(2), С. 233 - 233

Опубликована: Янв. 22, 2025

The plant microbiome, found in the rhizosphere, phyllosphere, and endosphere, is essential for nutrient acquisition, stress tolerance, overall health of plants. This review aims to update our knowledge critically discuss diversity functional roles rice as well microbiome engineering strategies enhance biofertilization resilience. Rice hosts various microorganisms that affect cycling, growth promotion, resistance stresses. Microorganisms carry out these functions through nitrogen fixation, phytohormone metabolite production, enhanced solubilization uptake, regulation host gene expression. Recent research on molecular biology has elucidated complex interactions within microbiomes signalling mechanisms establish beneficial microbial communities, which are crucial sustainable production environmental health. Crucial factors successful commercialization agents include soil properties, practical field conditions, genotype. Advances engineering, from traditional inoculants synthetic biology, optimize availability resilience abiotic stresses like drought. Climate change intensifies challenges, but innovations microbiome-shaping genes (M genes) offer promising solutions crop also discusses agronomic implications emphasizing need further exploration M breeding disease traits. Ultimately, we provide an current findings rice, highlighting pathways productivity sustainably while minimizing impacts.

Язык: Английский

Процитировано

3
Mechanisms of Microbial VOC‐Mediated Communication in Plant Ecosystems and Agricultural Applications DOI Creative Commons
Qurban Ali,

Abdur Rashid Khan,

Waseem Raza

и другие.

Journal of Sustainable Agriculture and Environment, Год журнала: 2025, Номер 4(1)

Опубликована: Фев. 5, 2025

ABSTRACT Microbial volatile organic compounds (mVOCs) are crucial to the ecological interactions of plants and microbes, playing pivotal roles in plant defence, communication, growth promotion. The classification, biosynthesis, emission processes mVOCs, their multifaced functions activities within ecosystems have been extensively studied. Moreover, signalling pathways that enable mVOCs‐mediated communication between surrounding environment explored. mVOCs critical mediating with biotic abiotic stressors, including pathogens environmental changes. These contribute enhanced resilience foster beneficial interactions. Biotechnological great potential sustainable agriculture, especially natural pest management crop protection. applications include various disease control strategies, such as biosensors, highlighting role promoting supporting development growth. In this review, we explored mechanisms action, types We also discussed recent developments use challenges involved. ethical regulatory issues related using agriculture biotechnology effects on human health environment. Finally, highlight research gaps fully leverage mVOC for production health.

Язык: Английский

Процитировано

0
Metagenomic Characterization of the Soil Microbiota-Satureja nepeta Axis and Impact of Edaphic Factors DOI
Abdelkarim Ezaouine, Badreddine Nouadi, Yousra Sbaoui

и другие.

Journal of Plant Growth Regulation, Год журнала: 2025, Номер unknown

Опубликована: Март 14, 2025

Язык: Английский

Процитировано

0
Sustainable Soil Volatilome: Discrimination of Land Uses Through GC-MS-Identified Volatile Organic Compounds DOI Creative Commons
Emoke Dalma Kovacs, Teodor Rusu,

Melinda Haydee Kovacs

и другие.

Separations, Год журнала: 2025, Номер 12(4), С. 92 - 92

Опубликована: Апрель 8, 2025

This study investigates soil volatilomics as an innovative approach to assessing the impact of land use on quality. research addresses critical need for sensitive diagnostic tools distinguish subtle biochemical variations in soils influenced by different management practices. Soil samples were collected along a transect Cluj County. Their volatile organic compounds extracted headspace solid-phase microextraction (HS–SPME) followed gas chromatography–mass spectrometry (GC–MS) analysis. A multivariate statistical method was used differentiate volatilome profile. Among 106 detected compounds, oxygenated species dominated across all uses, with highest concentrations forest (77%), grasslands (71%) and agricultural (65%). Principal component analysis revealed distinct clustering patterns, first two components explaining 72.8% total variance (PC1: 41.7%, PC2: 31.1%). Supervised PLS-DA modeling demonstrated robust discrimination, achieving AUC values 0.868 versus comparisons 0.810 both grassland comparisons. The diversity indicated that contained number (64), closely (63), while showed reduced (51). These key findings signatures, exhibiting complexity demonstrating more homogeneous profile, whereas presented high internal variability. results underscore potential profiling indicator effects processes support utility sustainable ecosystem monitoring.

Язык: Английский

Процитировано

0