Association of Toll-Like Receptor 4 Polymorphisms with Somatic Cell Score and Lactation Persistency in Holstein Bulls
Bibliographic record
Abstract
Mastitis, an inflammatory disease of the mammary gland generally caused by intramammary infections, is the most frequently occurring disease in the North American dairy industry. Reduced milk yield, milk quality, and lactation persistency as well as early culling contribute to the economic losses associated with this disease. During intramammary infections, cells of the innate immune system become activated through pattern recognition receptors that recognize conserved molecular signatures associated with the invading pathogen. The quality, timing, and intensity of the host inflammatory and subsequent immune response determine the fate of this disease. Toll-like receptor 4 (TLR4) is an important pattern recognition receptor that recognizes endotoxins associated with gram-negative bacterial infections. Its role in pathogen recognition and subsequent initiation of the inflammatory and immune response makes it a suitable candidate gene for enhancing disease resistance in Canadian Holsteins. In this study, polymorphisms in the TLR4 gene were identified in the Canadian Holstein bull population. Genotypes and haplotypes were constructed, and their associations with somatic cell score and lactation persistency were determined. Sequencing of selective DNA pools was used to reveal polymorphisms in TLR4. Two DNA pools were constituted based on high and low estimated breeding values for somatic cell scores. A total of 3 single nucleotide polymorphisms (SNP), including 1 SNP in a putative promoter region (P-226) and 2 SNP in exon3 (E3+1656 and E3+2021) of TLR4 were detected. A total of 388 bulls were genotyped for the SNP, haplotypes were reconstructed, and their frequencies were obtained. Polymorphisms in these regions were found to be associated with estimated breeding values for lactation persistency, and somatic cell scores in the Canadian Holstein bull population. The unfavorable alleles at P-226 and E3+1656 were found at a frequency of 40 and 37%, respectively; hence, selection against these alleles is promising in Canadian Holsteins. Selection against the unfavorable allele, T at E3+2021, is limited because of its low frequency (7%). Two frequently occurring haplotypes (GCC and CTC) occurred in 86% of the Canadian Holstein bull population chosen for genotyping. The most frequent haplotype (GCC; 54%) was found to be associated with higher lactation persistency and lower somatic cell scores. The transversion SNP in the putative promoter region (P-226) was in a potential DNA binding site.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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".