Genetic structure of the four wild tomato species in the<i>Solanum peruvianum</i>s.l. species complex
Bibliographic record
Abstract
The most diverse wild tomato species Solanum peruvianum sensu lato (s.l.) has been reclassified into four separate species: Solanum peruvianum sensu stricto (s.s.), Solanum corneliomuelleri, Solanum huaylasense, and Solanum arcanum. However, reproductive barriers among the species are incomplete and this can lead to discrepancies regarding genetic identity of germplasm. We used genotyping by sequencing (GBS) of S. peruvianum s.l., Solanum neorickii, and Solanum chmielewskii to develop tens of thousands of mapped single nucleotide polymorphisms (SNPs) to analyze genetic relationships within and among species. The data set was condensed to 14,043 SNPs with no missing data across 46 sampled plants. Origins of accessions were mapped using geographical information systems (GIS). Isolation by distance, pairwise genetic distances, and number of clusters were estimated using population genetics approaches. Isolation by distance was strongly supported, especially between interspecific pairs. Eriopersicon (S. peruvianum s.s., S. corneliomuelleri, S. huaylasense) and Arcanum (S. arcanum, S. neorickii, S. chmielewskii) species groups were genetically distinct, except for S. huaylasense which showed 50% membership proportions in each group. Solanum peruvianum and S. corneliomuelleri were not significantly differentiated from each other. Many thousands of SNP markers were identified that could potentially be used to distinguish pairs of species, including S. peruvianum versus S. corneliomuelleri, if they are verified on larger numbers of samples. Diagnostic markers will be valuable for delimiting morphologically similar and interfertile species in germplasm management. Approximately 12% of the SNPs rejected a genome-wide test of selective neutrality based on differentiation among species of S. peruvianum s.l. These are candidates for more comprehensive studies of microevolutionary processes within this species complex.
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 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 | 0.003 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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".