A chromosome-scale genome assembly of Timorese crabgrass ( <i>Digitaria radicosa</i> ): a useful genomic resource for the Poaceae
Bibliographic record
Abstract
Timorese crabgrass (Digitaria radicosa) is a grass species commonly found in Southeast Asia and Oceania. Digitaria species have high intraspecific and interspecific genetic and phenotypic diversity, suggesting their potential usefulness as a genetic resource. However, as the only high-quality reference genome available is for a tetraploid Digitaria species, a reference genome of the diploid species D. radicosa would be a useful resource for genomic studies of Digitaria and Poaceae plants. Here, we present a chromosome-level genome assembly of D. radicosa and describe its genetic characteristics; we also illustrate its usefulness as a genomic resource for Poaceae. We constructed a 441.6 Mb draft assembly consisting of 61 contigs with an N50 contig length of 41.5 Mb, using PacBio HiFi long reads. We predicted 26,577 protein-coding genes, reaching a BUSCO score of 96.5%. To demonstrate the usefulness of the D. radicosa reference genome, we investigated the evolution of Digitaria species and the genetic diversity of Japanese Digitaria plants based on our new reference genome. We also defined the syntenic blocks between D. radicosa and 2 Poaceae crops, fonio and rice, and the diverse distribution of representative resistance genes in D. radicosa. The D. radicosa reference genome presented here should help elucidate the genetic relatedness of Digitaria species and the genetic diversity of Digitaria plants. In addition, the D. radicosa genome will be an important genomic resource for Poaceae genomics and crop breeding.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 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 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".