Hemi-nested touchdown PCR combined with primer-template mismatch PCR for rapid isolation and sequencing of low molecular weight glutenin subunit gene family from a hexaploid wheat BAC library
Bibliographic record
Abstract
BACKGROUND: Hexaploid wheat (Triticum aestivum L.) possesses a large genome that contains 1.6 x 1010 bp of DNA. Isolation of a large number of gene sequences from complex gene families with a high level of gene sequence identity from genomic DNA is therefore difficult and time-consuming. Bacterial artificial chromosome (BAC) libraries can be useful for such work. Here we report on an efficient approach for rapid isolation and sequencing of the low molecular weight glutenin subunit gene family from the 'Glenlea' wheat BAC library via primer-template mismatch PCR using universal primers, primer walking using hemi-nested touchdown (TD) PCR, and followed by direct sequencing of PCR products. RESULTS: For the primer-template mismatch PCR, the universal primers were designed based on conserved gene coding regions of consensus sequences. The effects of the universal primer-template mismatches on the efficiency of standard PCR amplification were investigated after assembly of sequences from different primers amplifying the same BAC clones. Single or multiple mismatches were observed at 5' terminal, internal and the penultimate position, respectively. These mismatches included the transition mispairs G:T, T:G, A:C and the transversion mispairs A:A, A:G, G:G, G:A. Two or more primer-template mismatches reduced PCR product yield approximately from 2-fold to 10-fold compared to PCR product yield without the primer-template mismatch. For the hemi-nested TD PCR, primers were designed based on the known sequences obtained and/or published. The hemi-nested TD PCR increased both specificity and yield by high and low annealing temperatures in two consecutive amplifications. Comparison of two methods for purifying PCR products prior to sequencing showed that purification using MultiScreen384-PCR filter plates had an advantage over ethanol purification because greater numbers of sequencing reactions could be performed from comparable volumes of PCR reactions. CONCLUSION: This approach was fast, easy and cost-effective for isolation and sequencing of genes from complex gene families. It may be suitable for (i) isolation of other complex gene families and/or gene homologues from BAC libraries, (ii) for characterization of multi-copy repetitive elements pending availability of BAC libraries, and (iii) for filling in gaps in shotgun BAC sequencing.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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".