Microsatellite Marker Development by Multiplex Ion Torrent PGM Sequencing: a Case Study of the Endangered Odorrana narina Complex of Frogs
Bibliographic record
Abstract
The endangered Ryukyu tip-nosed frog Odorrana narina and its related species, Odorrana amamiensis, Odorrana supranarina, and Odorrana utsunomiyaorum, belong to the family Ranidae and are endemically distributed in Okinawa (O. narina), Amami and Tokunoshima (O. amamiensis), and Ishigaki and Iriomote (O. supranarina and O. utsunomiyaorum) Islands. Because of varying distribution patterns, this species complex is an intrinsic model for speciation and adaptation. For effective conservation and molecular ecological studies, further genetic information is needed. For rapid, cost-effective development of several microsatellite markers for these and 2 other species, we used next-generation sequencing technology of Ion Torrent PGM™. Distribution patterns of repeat motifs of microsatellite loci in these modern frog species (Neobatrachia) were similarly skewed. We isolated and characterized 20 new microsatellite loci of O. narina and validated cross-amplification in the three-related species. Seventeen, 16, and 13 loci were cross-amplified in O. amamiensis, O. supranarina, and O. utsunomiyaorum, respectively, reflecting close genetic relationships between them. Mean number of alleles and expected heterozygosity of newly isolated loci varied depending on the size of each inhabited island. Our findings suggested the suitability of Ion Torrent PGM™ for microsatellite marker development. The new markers developed for the O. narina complex will be applicable in conservation genetics and molecular ecological studies.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".