Hybrid de novo genome assembly of red gromwell (Lithospermum erythrorhizon) reveals evolutionary insight into shikonin biosynthesis
Bibliographic record
Abstract
Abstract Lithospermum erythrorhizon(red gromwell; zicao) is a medicinal and economically valuable plant belonging to the Boraginaceae family. Roots fromL. erythrorhizonhave been used for centuries based on the antiviral and wound-healing properties produced from the bioactive compound shikonin and its derivatives. More recently, shikonin, its enantiomer alkannin, and several other shikonin/alkannin derivatives have collectively emerged as valuable natural colorants and as novel drug scaffolds. Despite several transcriptomes and proteomes having been generated fromL. erythrorhizon, a reference genome is still unavailable. This has limited investigations into elucidating the shikonin/alkannin pathway and understanding its evolutionary and ecological significance. In this study, we obtained a de novo genome assembly forL. erythrorhizonusing a combination of Oxford Nanopore long-read and Illumina short-read sequencing technologies. The resulting genome is ∼367.41 Mb long, with a contig N50 size of 314.31 kb and 27,720 predicted protein-coding genes. Using theL. erythrorhizongenome, we identified several additionalp-hydroxybenzoate:geranyltransferase (PGT) homologs and provide insight into their evolutionary history. Phylogenetic analysis of prenyltransferases suggests that PGTs originated in a common ancestor of modern shikonin/alkannin-producing Boraginaceous species, likely from a retrotransposition-derived duplication event of an ancestral prenyltransferase gene. Furthermore, knocking down expression ofLePGT1inL. erythrorhizonhairy root lines revealed that LePGT1 is predominantly responsible for shikonin production early in culture establishment. Taken together, the reference genome reported in this study and the provided analysis on the evolutionary origin of shikonin/alkannin biosynthesis will guide elucidation of the remainder of the pathway.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".