ReviewFrontiers in plant science2026
Advances in plant metabolic engineering through synthetic biology.
Review in Frontiers in plant science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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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.
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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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0 citing papers in PubMed.
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Authors and funding
3 authors.
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Abstract
The challenges associated with the escalating global population and climate change in crop production and food security are substantial. This underscores the necessity for improvements in crop nutrition, yield, and resilience to environmental stresses. Plant metabolic pathways directly influence growth, nutrient accumulation, and stress responses, rendering them prime targets for crop enhancement. Advances in plant synthetic biology and gene editing are facilitating more precise modifications of genes, regulatory elements, and metabolic pathways. This review highlights the primary technologies used in plant metabolic engineering and focuses on representative examples of their implementation for crop improvement, including but not limited to CRISPR-Cas systems, multiplex genome editing, knock-in and knock-out strategies, CRISPR-mediated gene regulation (CRISPRi/CRISPRa), base editing, prime editing, RNA targeting technologies, synthetic promoters, and gene stacking strategies. Furthermore, the emerging role of artificial intelligence in the design and optimization of metabolic pathways and genome editing tools will be briefly discussed.
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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.