Production of recombinant plant gum with tobacco cell culture in bioreactor and gum characterization
Bibliographic record
Abstract
Many plant gums, such as gum arabic, contain hydroxyproline-rich glycoproteins (HRGPs), which are also abundant components of the plant cell extracellular matrix. Here we expressed in transgenic BY2 Nicotiana tabacum (tobacco) cells, a synthetic gene encoding a novel HRGP-based gum, designated gum arabic-8 or (GA)(8). (GA)(8) encoded eight repeats of the consensus polypeptide sequence of gum arabic glycoprotein (GAGP): Gly-Pro-His-Ser-Pro-Pro-Pro-Pro-Leu-Ser-Pro-Ser-Pro-Thr-Pro-Thr-Pro-Pro-Leu, in which most of the Pro residues were posttranslationally modified to hydroxyproline (Hyp). (GA)(8) was expressed as a green fluorescent protein (GFP) fusion protein targeted to the culture medium, (GA)(8)GFP. The culture of the transgenic cells in a 5-L bioreactor showed that the production of (GA)(8)GFP was cell growth-associated. The extracellular yield of (GA)(8)GFP was 116.8 mg/L after 14 days of culture and accounted for 87% of the total fusion protein expressed. (GA)(8)GFP was purified from the culture medium by a combination of hydrophobic interaction, gel permeation, and reversed phase chromatography. Biochemical characterization indicated that the amino acid composition of the (GA)(8) module, after removal of GFP by proteolysis, was virtually identical to that of predicted by the GAGP consensus sequence and that carbohydrate, which occurred as arabinogalactan polysaccharides and small oligoarabinosides O-linked through the Hyp residues, accounted for 84% of the molecules' dry weight. Functional assays showed that (GA)(8) exhibited low viscosity in aqueous solution similar to native GAGP. However, neither GFP alone nor the (GA)(8) module could emulsify orange oil. However, the fusion protein (GA)(8)GFP possessed 1.28-fold better emulsification properties than native GAGP. This work demonstrates the feasibility and potential of a synthetic gene approach to the de novo design of novel glycoprotein-based gums and emulsifiers.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.002 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".