ReviewMetabolites2022
Advances in Metabolomics-Driven Diagnostic Breeding and Crop Improvement.
Review in Metabolites, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
26 citing papers in PubMed.
- RNA interference mediated disease resistance in vegetable crops: fundamental discovery to current trends.Molecular biology reports · 2026Review
- Application of Metabolomics in Defence Responses ofMetabolites · 2026Review
- Integrated widely targeted UPLC-MS/MS metabolomics and transcriptomics reveal MYB-linked variation in bioactive phenolics across five kiwifruit varieties.Food chemistry. Molecular sciences · 2026Article
- Untargeted Metabolomics Reveals Region-Specific Metabolic Signatures and Discriminative Markers in Goji Berry (Metabolites · 2026Article
- CASMDB: An Open-Source Database of Metabolite Annotation Data for 1DAnalytical chemistry · 2026Article
- Harnessing endophytes and Multi-Omics for sustainable Colchicine biosynthesis.World journal of microbiology & biotechnology · 2026Review
- Modern genomic and omics-based technologies for millet breeding and genetic improvement.Frontiers in plant science · 2026Review
- Integrating predictive models and GWAS to identify candidate loci and genes for agronomic traits in rice.Frontiers in plant science · 2026Article
- Uncovering natural variation inFrontiers in plant science · 2026Article
- Modern approaches and future prospects in lettuce breeding for controlled environment agriculture.Frontiers in plant science · 2026Review
- Enhancing agrifood systems with metabolomics: from crop improvement to food quality.Frontiers in molecular biosciences · 2026Review
- Exploring Molecular Mechanisms in Wheat against Drought Stress from Sustainable Resilience Strategies To Emerging Innovative Approaches.Current microbiology · 2025Review
- Unlocking Plant Resilience: Metabolomic Insights into Abiotic Stress Tolerance in Crops.Metabolites · 2025Review
- Genomic selection: Essence, applications, and prospects.The plant genome · 2025Review
- Rhizobacteria and Arbuscular Mycorrhizal Fungi (AMF) Community in Growth Management and Mitigating Stress in Millets: A Plant-Soil Microbe Symbiotic Relationship.Current microbiology · 2025Review
- Multi-Omics Approaches Against Abiotic and Biotic Stress-A Review.Plants (Basel, Switzerland) · 2025Review
- Unravelling the chemodiversity of eggplants - Insight into their role in the underlying response to biotic and abiotic stresses.Frontiers in plant science · 2025Review
- Metabolomics-Assisted Breeding in Oil Palm: Potential and Current Perspectives.International journal of molecular sciences · 2024Review
- Extensive targeted metabolomics analysis reveals the identification of major metabolites, antioxidants, and disease-resistant active pharmaceutical components in Camellia tuberculata (Camellia L.) seeds.Scientific reports · 2024Article
- Evaluation of normalization strategies for GC-based metabolomics.Metabolomics : Official journal of the Metabolomic Society · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Climate change continues to threaten global crop output by reducing annual productivity. As a result, global food security is now considered as one of the most important challenges facing humanity. To address this challenge, modern crop breeding approaches are required to create plants that can cope with increased abiotic/biotic stress. Metabolomics is rapidly gaining traction in plant breeding by predicting the metabolic marker for plant performance under a stressful environment and has emerged as a powerful tool for guiding crop improvement. The advent of more sensitive, automated, and high-throughput analytical tools combined with advanced bioinformatics and other omics techniques has laid the foundation to broadly characterize the genetic traits for crop improvement. Progress in metabolomics allows scientists to rapidly map specific metabolites to the genes that encode their metabolic pathways and offer plant scientists an excellent opportunity to fully explore and rationally harness the wealth of metabolites that plants biosynthesize. Here, we outline the current application of advanced metabolomics tools integrated with other OMICS techniques that can be used to: dissect the details of plant genotype-metabolite-phenotype interactions facilitating metabolomics-assisted plant breeding for probing the stress-responsive metabolic markers, explore the hidden metabolic networks associated with abiotic/biotic stress resistance, facilitate screening and selection of climate-smart crops at the metabolite level, and enable accurate risk-assessment and characterization of gene edited/transgenic plants to assist the regulatory process. The basic concept behind metabolic editing is to identify specific genes that govern the crucial metabolic pathways followed by the editing of one or more genes associated with those pathways. Thus, metabolomics provides a superb platform for not only rapid assessment and commercialization of future genome-edited crops, but also for accelerated metabolomics-assisted plant breeding. Furthermore, metabolomics can be a useful tool to expedite the crop research if integrated with speed breeding in future.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.