Evidence map›Paper›PMID 41868517›Full record

ArticleFrontiers in plant science2026

Productive chaos and precision engineering: decoupling discovery from manufacturing to revolutionize plant-inspired therapeutics.

Dexter Achu Mosoh

Abstract read
In one paragraph

Article in Frontiers in plant science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Co-Overexpression ofPlants (Basel, Switzerland) · 2026
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Dexter Achu MosohDepartment of Biomedical Engineering, Indian Institute of Technology Ropar, Rupnagar, Punjab, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The pharmaceutical industry remains critically dependent on plant-derived natural products, yet the supply of these complex molecules is perpetually threatened by the inherent biological instability of plant systems. For decades, the field has struggled to force undifferentiated plant cell cultures into the mold of consistent industrial fermentation, a strategy largely defeated by intrinsic biological stochasticity arising from epigenetic reprogramming, somaclonal variation, transcriptional noise, and systemic metabolic rigidity, as well as by a linear cost structure that prohibits pharmaceutical scalability. This literature-based review articulates a fundamental paradigm shift: the strategic decoupling of discovery from production. It argues that the genomic and epigenomic plasticity of plant cells-rather than being suppressed-should be deliberately induced and explored through stress elicitation to generate a "productive chaos" of chemical diversity for discovery. This expanded metabolic landscape is then decoded using single-cell-resolved multi-omics and spatial metabolomics to identify rare, elite producer states, alongside advanced artificial intelligence, molecular networking, and structure prediction to characterize novel bioactive candidates. Once identified, these biosynthetic pathways are functionally repatriated into defined, heterologous microbial hosts, engineered via systems-level metabolic and architectural optimization-including cofactor balancing, dynamic pathway control, subcellular compartmentalization, and cytochrome P450-reductase stoichiometry-to achieve stable, high-titer manufacturing. By integrating high-throughput discovery, AI-guided strain design, techno-economic analysis, and regulatory Quality-by-Design principles, this discovery-production decoupling resolves the long-standing tension between biological complexity and industrial rigor. This framework transforms the economics of natural product supply, transitioning from the low-CAPEX/high-OPEX trap of extraction to the high-CAPEX/low-OPEX scalability of fermentation, offering a scientifically grounded, commercially viable, and regulatorily tractable pathway to unlock the full therapeutic potential of the plant kingdom.

Indexed as

artificial intelligencebiofoundriescofactor balancinghairy root culturemetabolic engineeringmicrobial cell factoriesP450 engineeringplant natural products

Identifiers

PMID41868517
PMCPMC13002628

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.