The contribution of extrachromosomal DNA to genome plasticity in malaria parasites
Bibliographic record
Abstract
Malaria caused by the protozoan parasite Plasmodium falciparum continues to impose significant morbidity and mortality, despite substantial investment into drug and vaccine development and deployment. Underlying the resilience of this parasite is its remarkable ability to undergo genome modifications, thus, providing parasite populations with extensive genetic variability that accelerates selection of drug resistance and limits the efficacy of most vaccines. This genome plasticity is rooted in the mechanisms of DNA repair that parasites employ to maintain genome integrity, a process skewed toward homologous recombination through the evolutionary loss of classical nonhomologous end joining. Repair of DNA double-strand breaks have been shown to enable "shuffling" of antigen-encoding gene sequences to vastly increase antigen diversity and to enable copy number expansion of genes that contribute to drug resistance. The latter phenomenon has been proposed to be a major contributor to the rise of resistance to several classes of antimalarial drugs. In this issue of Molecular Microbiology, McDaniels and colleagues add yet another mechanism that malaria parasites use to reduce drug susceptibility by demonstrating that P. falciparum can maintain expanded arrays of drug resistance cassettes as stably replicating, circular, extrachromosomal DNAs, thus, expanding genome plasticity beyond the parasite's 14 nuclear chromosomes.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".