Chloroplast Genome Diversity and Marker Potentials of Diverse Ensete ventricosum Accessions
Bibliographic record
Abstract
Ensete ventricosum is a morphologically gigantic, monocot, diploid sister to the banana plant species. It is commercially cultivated as a starch source, only in Ethiopia, where it feeds twenty million people. Here, the complete chloroplast (CP) genomes of 15 diverse landraces of E. ventricosum were assembled and annotated, for comparative genomics, genetic diversity analysis, and molecular marker development. The assembled E. ventricosum CP genomes ranged between 168,388 and 168,806 bp. The sampled CP genomes were quadripartite in structure and had two single-copy regions, a large single-copy region (LSC, average length 88,657 bp), and a small single-copy region (SSC, average length 11,098 bp) separated by inverted repeat regions (IR, average length 34,437 bp). The total number of annotated genes varies between 135 and 138, including 89–92 protein-coding genes, 38 tRNA genes, and 4 rRNA genes. All CP genes, including non-functional ones and intergenic regions, were transcribed with the transcriptome, covering almost 92% of the E. ventricosum CP genome. Codon usage, amino acid frequency, GC contents, and repeat nucleotides were similar among the 15 landraces. Mono- and tetranucleotide simple sequence repeats (SSRs) were found more frequently than other SSRs. An average of 71% of these SSRs were located in the LSC region, and the majority of the SSR motifs were composed of A/T nucleotides. A phylogenetic analysis of the 15 Ensete landraces indicated a common evolutionary origin, while the China sample was positioned separately, suggesting notable genetic differences. This study presents a comparative analysis of the chloroplast genomes of 15 E. ventricosum landraces, providing valuable insights into their genetic diversity and evolution. The identified SSR markers and conserved genomic features offer essential resources for future research and an improvement in Ensete conservation and breeding.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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".