Phyto-microbiome to mitigate abiotic stress in crop plants

Frontiers in Microbiology, Journal Year: 2023, Volume and Issue: 14

Published: Aug. 2, 2023

Plant-associated microbes include taxonomically diverse communities of bacteria, archaebacteria, fungi, and viruses, which establish integral ecological relationships with the host plant constitute phyto-microbiome. The phyto-microbiome not only contributes in normal growth development plants but also plays a vital role maintenance homeostasis during abiotic stress conditions. Owing to its immense metabolic potential, provides capability mitigate through various mechanisms like production antioxidants, hormones, bioactive compounds, detoxification harmful chemicals toxins, sequestration reactive oxygen species other free radicals. A deeper understanding structure functions complex mediated mitigation would enable utilization for alleviation crop stress-resistant crops. This review aims at exploring potential alleviate drought, heat, salinity heavy metal finding sustainable solutions enhance agricultural productivity. mechanistic insights into phytomicrobiome imparting tolerance have been summarized, that be helpful novel bioinoculants. high-throughput modern approaches involving candidate gene identification target modification such as genomics, metagenomics, transcriptomics, metabolomics, based genetic engineering discussed wake ever-increasing demand climate resilient plants.

Language: Английский

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Multiplatform Untargeted Metabolomics

Magnetic Resonance in Chemistry, Journal Year: 2023, Volume and Issue: 61(12), P. 628 - 653

Published: April 3, 2023

Metabolomics samples like human urine or serum contain upwards of a few thousand metabolites, but individual analytical techniques can only characterize hundred metabolites at best. The uncertainty in metabolite identification commonly encountered untargeted metabolomics adds to this low coverage problem. A multiplatform (multiple techniques) approach improve upon the number reliably detected and correctly assigned. This be further improved by applying synergistic sample preparation along with use combinatorial sequential non-destructive destructive techniques. Similarly, peak detection strategies that employ multiple probabilistic approaches have led better annotation decisions. Applying these also addresses issues reproducibility found single platform methods. Nevertheless, analysis large data sets from disparate presents unique challenges. While general processing workflow is similar across platforms, many software packages are fully capable types instrument. Traditional statistical methods such as principal component were not designed handle multiple, distinct sets. Instead, multivariate requires multiblock other model for understanding contribution instruments. review summarizes advantages, limitations, recent achievements metabolomics.

Language: Английский

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Research Progress on Plant Responses to Stress Combinations in the Context of Climate Change

Plants, Journal Year: 2024, Volume and Issue: 13(4), P. 469 - 469

Published: Feb. 6, 2024

In the context of climate change, frequency and intensity extreme weather events are increasing, environmental pollution global warming exacerbated by anthropogenic activities, plants will experience a more complex variable environment stress combinations. Research on plant responses to combinations is crucial for development utilization climate-adaptive plants. Recently, concept has been expanded from simple multifactorial (MFSCs). Researchers have realized complexity necessity combination research extensively employed composite gradient methods, multi-omics techniques, interdisciplinary approaches integrate laboratory field experiments. studied response mechanisms reactive oxygen species (ROS), phytohormones, transcription factors (TFs), other under reached some generalized conclusions. this article, we focus progress methodological dynamics propose key scientific questions that address, in assemblages, conserving biodiversity, ensuring food security. We can enhance search universal pathways, identify targets combinations, explore adaptive genetic responses, leverage high-technology research. This pursuit cultivating with greater tolerance enabling their adaptation mitigation impacts change.

Language: Английский

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Single-cell transcriptomics reveals heterogeneity in plant responses to the environment: a focus on biotic and abiotic interactions

Journal of Experimental Botany, Journal Year: 2024, Volume and Issue: 75(17), P. 5188 - 5203

Published: March 11, 2024

Biotic and abiotic environmental cues are major factors influencing plant growth productivity. Interactions with biotic (e.g. symbionts pathogens) changes in temperature, water, or nutrient availability) trigger signaling downstream transcriptome adjustments plants. While bulk RNA-sequencing technologies have traditionally been used to profile these transcriptional changes, tissue homogenization may mask heterogeneity of responses resulting from the cellular complexity organs. Thus, whether different cell types respond equally fluctuations, subsets cell-type specific, long-lasting questions biology. The recent breakthrough single-cell transcriptomics research offers an unprecedented view under changing conditions. In this review, we discuss contribution understanding cell-type-specific interactions. Besides biological findings, present some technical challenges coupled studies plant-environment interactions, proposing possible solutions exciting paths for future research.

Language: Английский

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Multi-Omics Approaches Against Abiotic and Biotic Stress—A Review

Plants, Journal Year: 2025, Volume and Issue: 14(6), P. 865 - 865

Published: March 10, 2025

Plants face an array of environmental stresses, including both abiotic and biotic stresses. These stresses significantly impact plant lifespan reduce agricultural crop productivity. Abiotic such as ultraviolet (UV) radiation, high low temperatures, salinity, drought, floods, heavy metal toxicity, etc., contribute to widespread losses globally. On the other hand, those caused by insects, fungi, weeds, further exacerbate these challenges. stressors can hinder systems at various levels, molecular, cellular, development processes. To overcome challenges, multi-omics computational approaches offer a significant tool for characterizing plant’s biomolecular pool, which is crucial maintaining homeostasis signaling response changes. Integrating multiple layers omics data, proteomics, metabolomics, ionomics, interactomics, phenomics, simplifies study resistance mechanisms. This comprehensive approach enables regulatory networks pathway maps, identifying potential targets improving through genetic engineering or breeding strategies. review highlights valuable insights from integrating unravel stress responses factors. By decoding gene regulation transcriptional networks, techniques reveal critical mechanisms underlying tolerance. Furthermore, role secondary metabolites in bio-based products enhancing mitigation discussed. Genome editing tools promising strategies resilience, evidenced successful case studies combating stressors. whole, this extensively discusses advanced that aids understanding molecular basis developing novel improve crops’ organisms’ resilience

Language: Английский

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The impact of boron nutrient supply in mulberry (Morus alba) response to metabolomics, enzyme activities, and physiological parameters

Plant Physiology and Biochemistry, Journal Year: 2023, Volume and Issue: 200, P. 107649 - 107649

Published: March 20, 2023

Language: Английский

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Expanded Coverage of Phytocompounds by Mass Spectrometry Imaging Using On-Tissue Chemical Derivatization by 4-APEBA

Analytical Chemistry, Journal Year: 2023, Volume and Issue: 95(34), P. 12701 - 12709

Published: Aug. 18, 2023

Probing the entirety of any species metabolome is an analytical grand challenge, especially on a cellular scale. Matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI-MSI) common spatial metabolomics assay, but this technique has limited molecular coverage for several reasons. To expand application space metabolomics, we developed on-tissue chemical derivatization (OTCD) workflow using 4-APEBA confident identification dozen elusive phytocompounds. Overall, new OTCD method enabled annotation roughly 280 metabolites, with only 10% overlap in metabolic when compared to analog negative ion mode MALDI-MSI serial sections. We demonstrate that outperforms other agents by providing: (1) broad specificity toward carbonyls, (2) low background, and (3) introduction bromine isotopes. Notably, latter two attributes also facilitate more confidence our bioinformatics data processing. The detailed here trailblazes path hormonomics within plant samples, enhancing detection carboxylates, aldehydes, plausibly carbonyls. As such, phytohormones, which have various roles stress responses communication, can now be spatially profiled, as demonstrated poplar root soybean nodule.

Language: Английский

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Advances in single-cell metabolomics to unravel cellular heterogeneity in plant biology

PLANT PHYSIOLOGY, Journal Year: 2023, Volume and Issue: 193(2), P. 949 - 965

Published: June 20, 2023

Single-cell metabolomics is a powerful tool that can reveal cellular heterogeneity and elucidate the mechanisms of biological phenomena in detail. It promising approach studying plants, especially when has an impact on different processes. In addition, metabolomics, which be regarded as detailed phenotypic analysis, expected to answer previously unrequited questions will lead expansion crop production, increased understanding resistance diseases, other applications well. this review, we introduce flow sample acquisition single-cell techniques facilitate adoption metabolomics. Furthermore, summarized reviewed.

Language: Английский

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A Guide to MALDI Imaging Mass Spectrometry for Tissues

Journal of Proteome Research, Journal Year: 2023, Volume and Issue: 22(11), P. 3401 - 3417

Published: Oct. 25, 2023

Imaging mass spectrometry is a well-established technology that can easily and succinctly communicate the spatial localization of molecules within samples. This review communicates recent advances in field, with specific focus on matrix-assisted laser desorption/ionization (MALDI) imaging (IMS) applied tissues. The general sample preparation strategies for different analyte classes are explored, including special considerations types (fresh frozen or formalin-fixed,) various analytes (lipids, metabolites, proteins, peptides, glycans) how multimodal leverage strengths each approach mentioned. work explores appropriate experimental design approaches standardization processes needed successful studies, as well data analysis platforms available to analyze their strengths. concludes applications fields, medical research, some examples from plant biology microbe metabolism mentioned, illustrate breadth depth MALDI IMS.

Language: Английский

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Twenty Years of ¹H NMR Plant Metabolomics: A Way Forward toward Assessment of Plant Metabolites for Constitutive and Inducible Defenses to Biotic Stress

Journal of Agricultural and Food Chemistry, Journal Year: 2024, Volume and Issue: 72(15), P. 8332 - 8346

Published: March 19, 2024

Metabolomics has become an important tool in elucidating the complex relationship between a plant genotype and phenotype. For over 20 years, nuclear magnetic resonance (NMR) spectroscopy been known for its robustness, quantitative capabilities, simplicity, cost-efficiency. 1H NMR is method of choice analyzing broad range relatively abundant metabolites, which can be used both capturing chemical profile at one point time understanding pathways that underpin defense. This systematic Review explores how NMR-based metabolomics contributed to role various compounds responses biotic stress, focusing on primary secondary metabolites. It clarifies challenges advantages using metabolomics, interprets common trends observed, suggests guidelines development establishing standard procedures.

Language: Английский

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