Characterization and functional significance of polymorphisms in porcine Toll-like receptor (TLR) 5 gene
Bibliographic record
Abstract
Li, H.-t., Wang, L., Liu, D. and Yang, X.-q. 2012. Characterization and functional significance of polymorphisms in porcine Toll-like receptor (TLR) 5 gene. Can. J. Anim. Sci. 92: 409–415. Toll-like receptor (TLR) 5 plays an important role in host defenses by recognizing bacterial flagellin and signaling to initiate immune responses. Polymorphisms in the TLR5 gene have a profound influence on receptor function and host susceptibility/resistance to infectious disease, as suggested by studies in humans and other species. In the present study, we characterized polymorphisms and determined their functional significance in the porcine TLR5 gene. Four novel non-synonymous single nucleotide polymorphisms (SNPs), c.176C>T (p.R59M), c.902C>T (p.S301F), c.959T>A (p.F320Y), and c.1796C>T (p.T599M) (reference sequence: GenBank No. AB208697), were first identified by sequencing the complete coding sequences (CDS) of the TLR5 gene in the Min pig, an indigenous Chinese pig breed known for its high general resistance to disease. SNP c.1796C>T (p.T599M) is located in one of the six predicted N-glycosylation sites in the extracellular domain of the TLR5 protein. By measuring protein activation, as represented by nuclear factor κB activity, in transiently transfected PK-15 cells with TLR5 expression vectors carrying site-directed mutations, we demonstrated that the previously discovered SNP c.1205C>T, leading to the amino acid substitution of proline by leucine, attenuated the responses of the receptor to flagellin (P<0.01). Further functional investigation on SNP c.1205C>T is necessary to determine its possible role in disease susceptibility in pigs and may facilitate pig breeding aimed at improving disease resistance.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| 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".