ReviewPlant communications2025
Synthetic biology and artificial intelligence in crop improvement.
Review in Plant communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
33 citing papers in PubMed.
- Cell-based crop phenotyping for future climates.The New phytologist · 2026Review
- The Role of Artificial Intelligence and Machine Learning in Revolutionizing Probiotic Research.Microorganisms · 2026Review
- Review
- Artificial intelligence-driven advancements in agricultural biotechnology.Journal, genetic engineering & biotechnology · 2026Review
- Revisiting the Molecular Roadmap for Sugar Crops: Genome Reading, Trait Writing and Variety Redesigning.Plant biotechnology journal · 2026Review
- Applications of synthetic biology in biomedicine.Molecular biomedicine · 2026Review
- Duet between sugars and hormones: The molecular dialogue fine-tuning hypoxia acclimation in plants.Journal of integrative plant biology · 2026Review
- Deciphering Stress Resilience in Black Pepper (International journal of molecular sciences · 2026Review
- CRISPR/Cas9 Mediated Genome Editing for Enhancing Abiotic Stress Tolerance in Rice: An Omics Guided Perspective.Molecular biotechnology · 2026Review
- Harnessing polyploidy for climate-resilient crops: Lessons from the evolutionary model, allotetraploid cotton.Proceedings of the National Academy of Sciences of the United States of America · 2026Review
- Integrating AI in seed science: Toward an intelligent design paradigm.Plant communications · 2026Review
- Artificial Intelligence Methods in Forest Biotechnology: Current Status and Future Prospects.International journal of molecular sciences · 2026Review
- Harnessing the plant microbiome: innovation towards sustainable agriculture and ecological resilience.Antonie van Leeuwenhoek · 2026Review
- Sustainable bioenergy manufacturing in plants.Plant communications · 2026Review
- AI-driven multiscale virtual plant cell modeling: from molecular mechanisms to tissue functions.Planta · 2026Review
- Unlocking the potential of endophytes in enhancing plant secondary metabolite biosynthesis.Biochemistry and biophysics reports · 2026Review
- Plant resistance: scientific basis and latest research progress.Frontiers in plant science · 2026Review
- A voyage of reprogrammable metabolic bioengineering reshapes plant defense: from editing tools to synthetic systems.Frontiers in plant science · 2026Review
- Governing synthetic biology and artificial intelligence (AI) convergence: emerging biosecurity priorities for Africa.Frontiers in bioengineering and biotechnology · 2026Review
- Systematic design and evaluation of artificial COSynthetic and systems biotechnology · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Synthetic biology plays a pivotal role in improving crop traits and increasing bioproduction through the use of engineering principles that purposefully modify plants through "design, build, test, and learn" cycles, ultimately resulting in improved bioproduction based on an input genetic circuit (DNA, RNA, and proteins). Crop synthetic biology is a new tool that uses circular principles to redesign and create innovative biological components, devices, and systems to enhance yields, nutrient absorption, resilience, and nutritional quality. In the digital age, artificial intelligence (AI) has demonstrated great strengths in design and learning. The application of AI has become an irreversible trend, with particularly remarkable potential for use in crop breeding. However, there has not yet been a systematic review of AI-driven synthetic biology pathways for plant engineering. In this review, we explore the fundamental engineering principles used in crop synthetic biology and their applications for crop improvement. We discuss approaches to genetic circuit design, including gene editing, synthetic nucleic acid and protein technologies, multi-omics analysis, genomic selection, directed protein engineering, and AI. We then outline strategies for the development of crops with higher photosynthetic efficiency, reshaped plant architecture, modified metabolic pathways, and improved environmental adaptability and nutrient absorption; the establishment of trait networks; and the construction of crop factories. We propose the development of SMART (self-monitoring, adapted, and responsive technology) crops through AI-empowered synthetic biotechnology. Finally, we address challenges associated with the development of synthetic biology and offer potential solutions for crop improvement.
Indexed as
Identifiers
What Socratic 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 Socratic graph.