The complete chloroplast genome provides insight into the polymorphism and adaptive evolution of <i>Garcinia paucinervis</i>
Bibliographic record
Abstract
<i>Garcinia paucinervis</i> is an evergreen tree with high medicinal value. Due to its vulnerable reproductive capacity coupled with excessive logging by humans, <i>G. paucinervis</i> has become an endangered species. In order to protect this species effectively, we drew the complete chloroplast genome of <i>G. paucinervis</i> and performed a series of comparative analyses on <i>G. paucinervis</i> and its neighbouring species. The chloroplast genome size of <i>G. paucinervis</i> is 157702 bp. In the chloroplast genome, we identified 130 genes, 56 RNA editing sites in the protein-coding genes, as well as 241 simple sequence repeats (SSRs) and 49 complex repetitive sequences. Comparative analysis identified some high divergent sequences in the intergenic spacers, which can be used as candidate markers for phylogenetic study. From an adaptive evolution point of view, a branch-site model analysis identified positively selected sites in 5 genes, most of which are involved in ribosome biogenesis, protein synthesis and other developmental processes. The detected codon substitutions may be associated with the evolution of <i>G. paucinervis</i> to adapt to the extreme habitat in karst. In addition, the result of the phylogenetic analysis supports the previous phylogenomic studies of taxa within the rosids clade. The ML tree revealed that <i>G. mangostana</i> was a sister to <i>G. gummi-gutta</i>, and they formed a diverging lineage to <i>G. paucinervis</i> in <i>Garcinia</i>. The above information is of great significance for us to understand the evolution of <i>G. paucinervis</i> chloroplast and lays the foundations for future studies in species conservation.
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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".