Analysis of recombinational switching at the antigenic variation locus of the Lyme spirochete using a novel PacBio sequencing pipeline
Bibliographic record
Abstract
The Lyme disease spirochete evades the host immune system by combinatorial variation of VlsE, a surface antigen. Antigenic variation occurs via segmental gene conversion from contiguous silent cassettes into the vlsE locus. Because of the high degree of similarity between switch variants and the size of vlsE, short-read NGS technologies have been unsuitable for sequencing vlsE populations. Here we use PacBio sequencing technology coupled with the first fully-automated software pipeline (VAST) to accurately process NGS data by minimizing error frequency, eliminating heteroduplex errors and accurately aligning switch variants. We extend earlier studies by showing use of almost all of the vlsE SNP repertoire. In different tissues of the same mouse, 99.6% of the variants were unique, suggesting that dissemination of Borrelia burgdorferi is predominantly unidirectional with little tissue-to-tissue hematogenous dissemination. We also observed a similar number of variants in SCID and wild-type mice, a heatmap of location and frequency of amino acid changes on the 3D structure and note differences observed in SCID versus wild type mice that hint at possible amino acid function. Our observed selection against diversification of residues at the dimer interface in wild-type mice strongly suggests that dimerization is required for in vivo functionality of vlsE.
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 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".