New evidence from mitochondrial DNA of a progenitor‐derivative species relationship between black spruce and red spruce (Pinaceae)
Bibliographic record
Abstract
Mitochondrial DNA (mtDNA) markers were used to assess the genetic diversity in allopatric populations of black spruce (Picea mariana [Mill.] BSP) and red spruce (P. rubens Sarg.). Patterns of mitochondrial haplotypes (mitotypes) were strikingly different between the two species. All mtDNA markers surveyed were polymorphic in black spruce, revealing four different mitotypes and high levels of mtDNA diversity (P(p) = 100%, A = 2.0, H = 0.496). In contrast, populations of red spruce had only two mitotypes and harbored low levels of ggenetic diversity (P(p) = 13.2%, A = 1.1, H = 0.120). When the southernmost allopatric populations of red spruce were considered, only one mitotype was detected. As previously reported for nuclear gene loci, the diversity observed for mtDNA in red spruce was a subset of that found in black spruce. Comparison of present and previously published data supports the hypothesis of a recent progenitor-derivative relationship between these species, red spruce presumably being derived by allopatric speciation of an isolated population of black spruce during the Pleistocene.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".