Discovery of single‐nucleotide polymorphisms (SNPs) in the uncharacterized genome of the ascomycete <i>Ophiognomonia clavigignenti‐juglandacearum</i> from 454 sequence data
Bibliographic record
Abstract
The benefits from recent improvement in sequencing technologies, such as the Roche GS FLX (454) pyrosequencing, may be even more valuable in non-model organisms, such as many plant pathogenic fungi of economic importance. One application of this new sequencing technology is the rapid generation of genomic information to identify putative single-nucleotide polymorphisms (SNPs) to be used for population genetic, evolutionary, and phylogeographic studies on non-model organisms. The focus of this research was to sequence, assemble, discover and validate SNPs in a fungal genome using 454 pyrosequencing when no reference sequence is available. Genomic DNA from eight isolates of Ophiognomonia clavigignenti-juglandacearum was pooled in one region of a four-region sequencing run on a Roche 454 GS FLX. This yielded 71 million total bases comprising 217,000 reads, 80% of which collapsed into 16,125,754 bases in 30,339 contigs upon assembly. By aligning reads from multiple isolates, we detected 298 SNPs using Roche's GS Mapper. With no reference sequence available, however, it was difficult to distinguish true polymorphisms from sequencing error. Eagleview software was used to manually examine each contig that contained one or more putative SNPs, enabling us to discard all but 45 of the original 298 putative SNPs. Of those 45 SNPs, 13 were validated using standard Sanger sequencing. This research provides a valuable genetic resource for research into the genus Ophiognomonia, demonstrates a framework for the rapid and cost-effective discovery of SNP markers in non-model organisms and should prove especially useful in the case of asexual or clonal fungi with limited genetic variability.
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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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.001 |
| 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 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".