Mutant alleles of the <i>Caenorhabditis elegans rde-1</i> gene identified through chemical mutagenesis of an snRNA misprocessing reporter
Bibliographic record
Abstract
The processing of small nuclear RNA post transcription involves endolytic cleavage of a 3' tail to produce a mature transcript that is incorporated into the spliceosome to regulate RNA splicing. We previously reported in the Caenorhabditis elegans model several novel genetic regulators including those functioning in RNAi processing to be required for snRNA cleavage through a genome-wide RNAi screen using an in vivo snRNA misprocessing reporter. Here, we conducted a forward genetic screen using the mutagen ethyl methanesulfonate to screen for viable mutants that exhibit constitutive snRNA misprocessing. This screen generated three new recessive rde-1 mutant alleles (cww1, cww4, cww9) identified via WGS SNP mapping, which encode the primary Argonaute protein involved in the processing of exogenous RNAi. The three rde-1 alleles failed to complement each other and rde-1(cww1) which contains a premature stop codon in exon 3 also failed to be complemented by the classic rde-1(ne219) allele. We show that the three rde-1 mutants display a varying degree of snRNA misprocessing reporter activation, but are all fully resistant to various RNAi that are known to cause larval arrest or an abnormal vulva phenotype. Thus, the screen has reinforced a connection between RNAi processing and snRNA cleavage and generated mutants that are useful for future studies of the rde-1 Argonaute gene.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".