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Record W2112058351 · doi:10.1093/jhered/est091

Mapping Genes to Chicken Microchromosome 16 and Discovery of Olfactory and Scavenger Receptor Genes Near the Major Histocompatibility Complex

2013· article· en· W2112058351 on OpenAlexfundno aff
Marcia M. Miller, Charmaine M. Robinson, Jason Abernathy, Ronald M. Goto, Melissa K. Hamilton, Huaijun Zhou, Mary E. Delany

Bibliographic record

VenueJournal of Heredity · 2013
Typearticle
Languageen
FieldImmunology and Microbiology
Topicinterferon and immune responses
Canadian institutionsnot available
FundersOffice of Energy Research and DevelopmentAcademy of Finland
KeywordsMicrochromosomeBiologyGeneticsGeneMajor histocompatibility complexChromosomeKaryotype

Abstract

fetched live from OpenAlex

Trisomy mapping is a powerful method for assigning genes to chicken microchromosome 16 (GGA 16). The single chicken nucleolar organizer region (NOR), the 2 major histocompatibility complex regions (MHC-Y and MHC-B), and CD1 genes were all previously assigned to GGA 16 using trisomy mapping. Here, we combined array comparative genomic hybridization with trisomy mapping to screen unassigned genomic scaffolds (consigned temporarily to chrUn_random) for sequences originating from GGA 16. A number of scaffolds mapped to GGA 16. Among these were scaffolds that contain genes for olfactory (OR) and cysteine-rich domain scavenger (SRCR) receptors, along with a number of genes that encode putative immunoglobulin-like receptors and other molecules. We used high-resolution cytogenomic analyses to confirm assignment of OR and SRCR genes to GGA 16 and to pinpoint members of these gene families to the q-arm in partially overlapping regions between the centromere and the NOR. Southern blots revealed sequence polymorphism within the OR/SRCR region and linkage with the MHC-Y region, thereby providing evidence for conserved linkage between OR genes and the MHC within birds. This work localizes OR genes to the vicinity of the chicken MHC and assigns additional genes, including immune defense genes, to GGA 16.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.693
Threshold uncertainty score0.684

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.028
GPT teacher head0.244
Teacher spread0.216 · 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

Citations22
Published2013
Admission routes1
Has abstractyes

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