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Record W4402541942 · doi:10.1093/jas/skae234.669

PSVIII-20 Identification of functional INDELS responsible for alternative splicing in acute stress responders grazing sheep exposed to gastrointestinal nematode infection

2024· article· en· W4402541942 on OpenAlexaff
Samla M F Cunha, Flávio S. Schenkel, Bonnie A. Mallard, Niel A. Karrow, Ángela Cánovas

Bibliographic record

VenueJournal of Animal Science · 2024
Typearticle
Languageen
FieldVeterinary
TopicHelminth infection and control
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsIndelGrazingBiologyNematodeIdentification (biology)Nematode infectionAgronomyEnvironmental stressGeneBotanyEcologyGenetics

Abstract

fetched live from OpenAlex

Abstract Gastrointestinal nematodes (GINs) are a major constraint to the sheep industry. Infected animals can develop clinical signs, like anemia, hypoproteinemia, diarrhea, and in extreme cases death. The misuse of anthelmintics to treat infected animals has led to the development of GIN resistance making necessary the integration of different approaches to reduce the impact of GINs on the sheep industry. The application of transcriptomics using RNA-Sequencing technology to better understand the underlying genetic mechanisms of resistance to GIN can help accelerate the genetic gain. This study aimed to identify insertion and deletions (INDELs) responsible for alternative splicing in Rideau x Dorset crossbred sheep with different immune profiles under natural exposure to gastrointestinal nematodes using RNA-Sequencing. High (H) and medium (M) acute stress responders with the highest and lowest worm burden, after natural exposure to GIN, were selected for liver RNA extraction (H; n = 5 and M; n = 6). In addition, GIN-unexposed lambs (U; n = 4) were used as immunological controls. Quality control analyses were performed on fastq files using the CLC Bio Genomics workbench software including the guanine-cytosine (GC) content, ambiguous base content, Phred score, base coverage, nucleotide contributions, and over-represented sequence parameters. Pair-end sequence reads were aligned to the annotated Oar_rambouillet_v.2.0 ovine reference genome. After that, variant discovery analysis and functional consequence analysis were performed using CLC Bio Genomics workbench software to identify INDELs leading to amino acid changes and splice site events (SSEs). Genes associated with the list of INDELs leading to SSE were recovered from Ensembl BioMart. Unique INDELs with SSEs for H, M, and U groups (162, 244, and 161, respectively) and shared (372) among groups were identified. Among them, 4 INDELS with SSE uniquely identified in the M group were located within the NLRC5, SIGLEC1, CFD, and STAT6 genes related to the immune system. Significant enriched metabolic pathways (FDR< 0.05) were identified using the list of genes with INDELs that led to SSEs unique for each group and shared among groups using Reactome. Metabolic pathways related to the immune system response such as cross-presentation of soluble exogenous antigens (endosomes) and NIK noncanonical NF-kB signaling pathways were identified in the M group. These results can help to better understand the mechanisms responsible for the immune response of sheep to GIN.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.549
Threshold uncertainty score0.423

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.073
GPT teacher head0.379
Teacher spread0.306 · 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 teacher head, 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

Citations0
Published2024
Admission routes1
Has abstractyes

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