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Record W2095282287 · doi:10.1097/fpc.0b013e328338ac8c

Genetic diversity of levamisole receptor subunits in parasitic nematode species and abbreviated transcripts associated with resistance

2010· article· en· W2095282287 on OpenAlexaff
Cédric Neveu, Claude Charvet, Aymeric Fauvin, Jacques J. Cortet, Robin N. Beech, Jacques Cabaret

Bibliographic record

VenuePharmacogenetics and Genomics · 2010
Typearticle
Languageen
FieldVeterinary
TopicHelminth infection and control
Canadian institutionsMcGill University
Fundersnot available
KeywordsBiologyHaemonchus contortusComplementary DNACaenorhabditis elegansGeneticsGeneTeladorsagia circumcinctaNematodeRapid amplification of cDNA endsLevamisoleExpressed sequence tagcDNA libraryMolecular biologyMolecular cloningZoology

Abstract

fetched live from OpenAlex

OBJECTIVES: The molecular mechanisms of levamisole (LEV) activity and expression of resistance remain largely unknown in parasitic nematodes. In contrast, genetic screens for mutants that survive exposure to LEV in the free-living nematode Caenorhabditis elegans have led to the identification of five genes (unc-38, unc-63, unc-29, lev-1 and lev-8) that encode a LEV-sensitive acetylcholine receptor (L-AChR). Loss of these genes leads to LEV resistance. In this study, orthologues of these genes were identified in three species of trichostrongylid nematodes that have a major impact on small ruminants: Haemonchus contortus, Teladorsagia circumcincta and Trichostrongylus colubriformis. Polymorphism associated with LEV resistance have been investigated by comparing transcripts of these subunits in LEV susceptible and LEV-resistant isolates of the three strongylid species. BASIC METHODS: Partial sequences were identified by PCR experiments and full-length cDNA sequences corresponding to AChR subunits in the three trichostrongylid species were obtained using 3'-rapid amplification of cDNA ends-PCR and 5' rapid amplification of cDNA ends anchored with the spliced leader sequence, SL1. Expression of L-AChR subunits was investigated in LEV-resistant and LEV-susceptible isolates of H. contortus, T. circumcincta and T. colubriformis using reverse transcription PCR. MAIN RESULTS: We have identified a total of 20 full-length cDNA sequences corresponding to L-AChR subunits in three parasitic trichostrongylid species of which 14 correspond to novel sequences. Genes orthologous to unc-29, unc-63, unc-38 and lev-1 were found in each trichostrongylid species, whereas no gene corresponding to lev-8 has yet been identified. We have found 11 distinct paralogous sequences corresponding to the C. elegans unc-29 gene clustered in four groups revealing an unexpected diversity of unc-29-like genes. Complete coding sequences of the L-AChR subunits in two LEV-resistant and three susceptible isolates of H. contortus, T. circumcincta and T. colubriformis were essentially unchanged, but abbreviated transcripts of the unc-63 subunit were specifically expressed in resistant isolates of all three species. CONCLUSION: The candidate gene strategy developed in this study revealed an unexpectedly high diversity of L-AChR subunits specific to the trichostrongylid parasites that are a principal target for the drug LEV. Abbreviated variants, predicted to produce nonfunctional unc-63, were associated with LEV resistance. This study contributes significantly to a better understanding of LEV receptor constitution in parasitic nematodes and highlights the putative role of aberrant mRNA encoding L-AChR subunits in LEV resistance.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.038
GPT teacher head0.273
Teacher spread0.235 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations85
Published2010
Admission routes1
Has abstractyes

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