Characteristics and analysis of simple sequence repeats in the cotton genome based on a linkage map constructed from a BC<sub>1</sub>population between<i>Gossypium hirsutum</i>and<i>G. barbadense</i>
Bibliographic record
Abstract
In the past decade, several molecular maps of cotton have been constructed using diverse DNA molecular markers and mapping populations. In this study, an interspecific linkage map of allotetraploid cotton was developed using a BC1 population ((Gossypium hirsutum x G. barbadense) x G. hirsutum). This map was genome-wide and was based entirely on simple sequence repeat (SSR) markers. Forty-four linkage groups were assigned to 26 chromosomes, with 917 loci spanning 5452.2 cM of the genome. The average distance between loci was 5.9 cM, providing uniform coverage of the A subgenome and D subgenome. Characteristics of this map were analyzed in detail, including the distributions of genomic SSRs, expressed sequence tag (EST)-SSRs, and distorted markers. Furthermore, the relationships between motif characteristics (size, type, length) and the level of polymorphism in EST-SSRs were also surveyed. The results showed that tetranucleotide and dinucleotide repeats had similar levels of polymorphism, and ACAT, AC, and ACT repeats had the highest polymorphism rates. Loci with lengths of 27 bp, 33 bp, and 24 bp were more likely to be polymorphic. This work will provide information to assist in designing future EST-SSRs.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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 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".