ReviewPlant communications2026
Sustainable bioenergy manufacturing in plants.
Review in Plant communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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
2 citing papers in PubMed.
- Expanding agroinfiltration host range with broad-spectrum effectors monitored by autoluminescent reporter.Horticulture research · 2026Article
- Integrating artificial intelligence and conventional approaches in sugarcane bagasse biorefineries: a review towards a circular bioeconomy.Frontiers in bioengineering and biotechnology · 2026Review
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
Sustainable bioenergy is pivotal to the global transition from fossil fuels to a circular bioeconomy. However, conventional biomass conversion remains hindered by limitations in efficiency, cost, and versatility. This review examines how recent interdisciplinary advances are overcoming these challenges. We survey the convergence of synthetic biology, genomics, artificial intelligence (AI), and chemistry, which together are revitalizing bioenergy production through the engineering of optimized biomass. Key strategies for bioenergy production range from enhancing nutrient efficiency and tailoring lignin content by genomic editing of energy crops to the development of AI-informed smart biorefineries. As an example of this synergy, we present an in-depth case study on autoluminescent plants. This frontier application harnesses the fungal bioluminescence pathway (FBP) to convert photosynthetic energy into visible light emission. The FBP's unique reliance on the endogenous metabolite caffeic acid establishes a transformative platform for sustainable and autonomous biological illumination. An interdisciplinary approach integrating omics, engineering, and agronomy is critical for solving such complex bioengineering challenges and making high-brightness plants a reality. We propose that the next paradigm shift will be driven by generative AI, transitioning research, and development from subject-specific inquiries to a holistic model of multidisciplinary convergence, thereby accelerating the realization of advanced, sustainable plant-based energy production.
Indexed as
Identifiers
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.